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    ARTICLE IN PRESS

    Social Science & Medicine 59 (2004) 501523

    Review

    A critical review of behavioral issues related to

    malaria control in sub-Saharan Africa:

    what contributions have social scientists made?

    Holly Ann Williamsa,*, Caroline O.H. Jonesb

    aMalaria Epidemiology Branch, Centers for Disease Control and Prevention, Mail Stop F-22, 4770 Buford Hwy NE,

    Atlanta, GA 30345, USAbDFID Malaria Knowledge Programme, London School of Hygiene and Tropical Medicine, London, UK

    Abstract

    In 1996, Social Science & Medicine published a review of treatment seeking for malaria (McCombie, 1996). Since

    that time, a significant amount of socio-behavioral research on the home management of malaria has been undertaken.

    In addition, recent initiatives such as Roll Back Malaria have emphasized the importance of social science

    inputs to malaria research and control. However, there has been a growing feeling that the potential contributions

    that social science could and should be making to malaria research and control have yet to be fully realized. To

    address these issues, this paper critically reviews and synthesizes the literature (published, unpublished and

    technical reports) pertaining to the home management of illness episodes of malaria in sub-Saharan Africa

    from 1996 to the end of 2000, and draws conclusions about the use of social science in malaria research and

    control.

    The results suggest that while we have amassed increasing quantities of descriptive data on treatmentseeking behavior, we still have little understanding of the rationale of drug use from the patient perspective

    and, perhaps more importantly, barely any information on the rationale of provider behaviors. However, the

    results underline the dynamic and iterative nature of treatment seeking with multiple sources of care frequently

    being employed during a single illness episode; and highlight the importance in decision making of gender, socio-

    economic and cultural position of individuals within households and communities. Furthermore, the impact

    of political, structural and environmental factors on treatment seeking behaviors is starting to be recognised. Programs

    to address these issues may be beyond single sector (malaria control programme) interventions, but social science

    practice in malaria control needs to reflect a realistic appraisal of the complexities that govern human behavior and

    include critical appraisal and proposals for practical action. Major concerns arising from the review were the lack

    of evidence of social scientist involvement (particularly few from endemic countries) in much of the published

    research; and concerns with methodological rigor. To increase the effective use of social science, we should focus

    on a new orientation for field research (including increased methodological rigor), address the gaps in researchknowledge, strengthen the relationship between research, policy and practice; and concentrate on capacity

    strengthening and advocacy.

    r 2003 Elsevier Ltd. All rights reserved.

    Keywords: Malaria; Social science; Treatment seeking; Malaria control; Sub-Saharan Africa

    *Corresponding author. Tel.: +1-770-488-7764; fax: +1-770-488-7761.

    E-mail addresses:[email protected] (H.A. Williams).

    0277-9536/$- see front matterr 2003 Elsevier Ltd. All rights reserved.

    doi:10.1016/j.socscimed.2003.11.010

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    services, local illness classifications, and the determi-

    nants of behavior relating to changing national malaria-

    treatment policies are all examples of areas in which

    social science contributions are needed. Consequently,

    programs such as RBM and MIM have emphasized the

    importance of social science inputs in helping them to

    realize their goal of improved malaria control.However, among social scientists and others working

    in applied malaria research, there has been a growing

    feeling that, despite international recognition of the role

    human behavior plays in malaria, the potential con-

    tributions that social science could and should be

    making to malaria control have yet to be fully realized.

    To explore why this gap exists, it is necessary to

    understand what research has been done and what, if

    any, impact the research has had in the field of malaria

    control. This paper critically reviews and synthesizes

    literature pertaining to treatment-seeking behaviors and

    the management of malaria illness episodes in sub-Saharan Africa, and examines the contributions that

    social scientists have made to this knowledge. A

    subsequent paper will concentrate on the literature

    pertaining to preventive activities, particularly insecti-

    cide-treated materials. These papers link to an interna-

    tional alliance1 whose goals are to enhance the capacity

    of social science in the field of malaria control and to

    better integrate social science efforts with other scien-

    tists, malaria control programs, and policy makers, in

    order to design more appropriate, effective, and

    sustainable intervention programs.

    Background and objectives

    In the early 1990s, the World Health Organization

    (WHO) commissioned a review of literature on treat-

    ment-seeking behaviors for malaria by McCombie

    (1994, 1996). The results of this review showed that a

    great deal had been learned about malaria treatment-

    seeking behaviors, but several gaps in knowledge and

    understanding remained, including: (a) quantification of

    actual drug intake, (b) understanding how people

    differentiated between uncomplicated and severe malar-

    ia, and (c) knowledge on how provider behaviors

    impacted treatment seeking behaviors. McCombie(1996) also noted concerns about a lack of clarity in

    commonly used terms, such as the difference between

    self and home treatments or what is meant by time to

    appropriate treatment. In addition, she pointed to a

    lack of methodological rigor, noting that few studies

    were comparable as there was minimal description

    of how data were collected or what type of analysis

    was used.

    McCombies (1996) findings have been widely cited

    and, since the review, there has been a marked increase

    in the number of published papers discussing behavioral

    issues related to malaria control. However, there hasbeen no concerted effort to summarize the knowledge or

    critically examine the lessons learnt from the findings.

    This paper attempts to fill this gap.2 In doing so, it

    addresses the following areas: (a) what new knowledge

    or complimentary knowledge has been generated since

    McCombies review, (b) have the gaps in knowledge as

    identified by McCombie been addressed, (c) has

    methodological rigor increased, and (d) has the knowl-

    edge been applied programmatically and, if not, why

    not? The paper will also focus on identifying factors that

    have constrained social scientists contributions to

    malaria control, suggest new areas of research, and

    highlight approaches to utilizing the results of applied

    social science research, to improve malaria control.

    Throughout this process, we sought to answer the

    question, what should the thrust of social science

    research and activities related to malaria control be for

    the next decade? This review is written primarily from

    ARTICLE IN PRESS

    1These papers are part of a multi-step research plan that has

    been designed by the authors, as well as other members of the

    international alliance, the Partnership for Social Sciences in

    Malaria Control, which held its organizational meeting inLondon, January 2001. The Partnership is envisioned as an

    alliance of individuals representing specific skills and expertise

    within specified institutions. Members of the Steering Com-

    mittee of the Partnership include representatives from the

    following institutions: Centers for Disease Control and

    Prevention (CDC), London School of Hygiene and Tropical

    Medicine (LSHTM), University of Nairobi, University of Mali,

    The CHANGE Project, Multilateral Initiative on Malaria

    (MIM), UNDP/World Bank/WHO/Special Programme on

    Tropical Disease Research (TDR) (Social, Economic and

    Behavioral Unit, Intervention Development and Implementa-

    tion Research Unit, and Research Capacity Strengthening

    Unit), Environmental Health Project (EHP), USAID African

    Bureau, WHO/AFRO, Department for International Develop-

    ment (DFID), The Maria Consortium, Mozambique National

    Institute of Health, Ghana Health Services, Gates Malaria

    Programme [LSHTM], Roll Back Malaria/WHO Geneva,

    Malaria Foundation International, and the Danish Bilharziasis

    Laboratory (DBL). In addition to the papers, other activities in

    which the Partnership are engaged include: (a) updating the

    literature base used for this paper, as well as maintaining a

    Clearinghouse for Social Science and Malaria Literature, (b)

    developing a webbased searchable format for disseminating

    the literature data base, (c) developing a participatory network

    of social scientists that reside or work in Africa, and (d) refining

    a research agenda for social scientists involved in malaria

    activities for the next decade.

    2This paper is an adaptation of a paper given by the authors

    as an invited plenary session at a meeting convened by the

    WHO/TDR Task Force on Home Management of Malaria

    entitled, Strategy Meeting to Define Outstanding Research

    Issues in the Home Management for Malaria, held in Kilifi,

    Kenya, May 2000.

    H.A. Williams, C.O.H. Jones / Social Science & Medicine 59 (2004) 501523 503

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    the perspective of medical anthropology, although the

    discussion points and recommendations have applica-

    tion to a wider social science audience.

    Methods

    The review included published and unpublished

    literature and technical reports pertaining to sub-

    Saharan Africa, covering the time period 1994 to the

    end of 2002. Although efforts were made to access all

    pertinent literature, the authors acknowledge that, most

    likely, there are missing papers relevant to this review,

    particularly in the gray literature (technical reports,

    unpublished papers), which were difficult to access. The

    literature reviewed for this paper is part of a citation

    database created by the authors and colleagues from

    The Partnership for Social Sciences in Malaria Control

    (PSSMC). The citation database consists of over 500entries of published and unpublished literature, techni-

    cal reports, and oral/poster presentations from regional,

    national and international meetings on malaria. This

    citation database is currently archived at the CDC and

    LSHTM, with satellite centers under development in

    sub-Saharan Africa, as well as http://www.malaria.org/.

    Due to constraints of time and space, the oral and poster

    presentations were not included in this review.

    Working with medical librarians at the CDC and the

    LSHTM, the authors designed various search strategies

    to review the social science, epidemiology, health

    education and communication, tropical medicine/infec-

    tious diseases, and policy literature. Computerized

    databases from the United States and the United

    Kingdom were searched on a biweekly basis, including

    Bath Information and Data Service (BIDS), CINAHL,

    Dissertation Abstracts, Medline, PsycINFO, Social

    Citation Index, Social SciSearch, and Sociological

    Abstracts. Library searches of more difficult-to-access

    African journals were done by both authors, at the

    libraries of CDC, LSHTM, and the University of

    London. During field trips to Africa, the authors also

    searched archival materials in various sites, including,

    for example, the libraries of the National Institute for

    Medical Research and the Tanzanian Essential HealthInterventions Project, both located in Dar es Salaam,

    Tanzania.

    Agencies that participated in international malaria

    control activities (either as programmatic partners or

    funding agencies) were contacted to obtain copies of any

    related technical reports or unpublished papers. In

    addition, the authors searched the archives of the

    UNDP/World Bank/WHO Special Programme for

    Research and Training in Tropical Diseases (TDR) at

    the World Health Organization (WHO). As well,

    individuals known personally by the authors and/or

    colleagues of the authors were contacted to ask if they

    had any additional work that they could contribute,

    particularly unpublished papers. Papers were considered

    appropriate for this review if they were concerned with

    aspects of human behavior related to the recognition,

    diagnosis and management of malaria (as defined bio-

    medically or in local terms). This included papers about

    perceived quality of care, as well as papers that discussedpolicy implications of malaria control. Three areas of

    literature were excluded from the reviewtravel pro-

    phylaxis, historical commentaries, and economic aspects

    of malaria control. However, economic papers that

    discussed the effect of cost on treatment-seeking

    behaviors were included.

    Results

    We reviewed 117 published papers (including 87

    research reports, one policy paper, two editorials, nineletters to the editor, eight brief commentaries, five

    abstracts, and five reviews), 15 unpublished and 32

    technical reports for this paper, for a total of 164

    documents.3 (See Appendix A for a list of journals in

    which social science literature was found.)

    Treatment-seeking behaviors

    Factors relating to treatment-seeking behaviors were

    examined from the perspectives of both the patient/care

    givers and the providers, including use of alternative

    providers, patterns of treatment seeking, delays in care,

    drug use practices (actual dosage patterns and delivery

    of drugs by providers), and cognitive processes that

    guide the decision making related to choices for care.

    Recognition of illness signs and symptoms

    Although there was a wide array of perceived

    etiologies for malaria, the symptom complex that

    corresponds to the biomedical notion of uncomplicated

    malaria was widely recognized as a commonplace febrile

    illness that could be treated in the home first, often by

    tepid sponging, domestically produced herbal prepara-

    tions, and/or the administration of pharmaceuticals

    (most commonly used were antimalarials, antipyreticsand/or analgesics) (see Table 1 for references). Gener-

    ally, absence of fever, ability to eat and play indicated

    that children were better (Williams et al., 1999). A study

    in Kenya found that, if fever returned within 1 week,

    then the mothers perceived that the treatment had not

    worked but if fever recurred after 2 weeks, then it was

    considered to be a separate disease episode (Marsh &

    Mutemi, 1997). Mothers were found to be well attuned

    ARTICLE IN PRESS

    3For purposes of this paper, only key references will be cited.

    However, a complete listing of all reviewed papers can be

    obtained from the authors.

    H.A. Williams, C.O.H. Jones / Social Science & Medicine 59 (2004) 501523504

    http://www.malaria.org/http://www.malaria.org/http://www.malaria.org/
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    to the state of their children and signs that the illness had

    worsened or symptoms that were perceived as severe or

    out of the ordinary signaled a need for different actions.

    A combination of fever with vomiting, cough or

    diarrhea, or simply a persistent fever with headache

    that had not responded to treatment, were frequently

    mentioned as signs of serious illness that required advice

    from outside the home, most often from the nearest or

    most affordable health facility (or biomedical provider)

    (see Table 1 for references). High fevers were frequently

    viewed as serious, necessitating a visit to a health care

    facility (hospital or clinic), whenever possible. Findings

    from a few studies indicated that the ability to linkcertain symptoms with severity of illness was signifi-

    cantly associated with higher levels of education

    (Tarimo, Lwihula, Minjas, & Bygbjerg, 2000; Tarimo,

    Urassa, & Msamanga, 1998), while in other studies

    educational level was not related to judgment of severity

    (Slutsker, Chitsulo, Macheso, & Steketee, 1994). Con-

    vulsions were almost universally recognized as being a

    primary symptom differentiating severe illness from

    normal malaria. The appearance of convulsions

    frequently led to the perception that some form of

    supernatural or spiritual force was, or had become,

    involved in the illness process and any cure necessitated

    the involvement of a traditional healer of some kind

    (see Tables 1 and 2 for references).

    Sources of care

    There were inter-country, urban/rural and district

    level variations in the type and quantity of sources of

    care available to the review populations (Alilio &

    Tembele, 1994; Dawson, 1996; Molyneux, Mungala-

    Odera, Harpham, & Snow, 1999) but, to a greater or

    lesser degree, each functioned within a pluralistic health

    system. Although patients and care givers were often

    reluctant to discuss use of alternate providers and home/

    self treatments due to fear of bullying, accusations, orbelittling from health care staff (Oketch-Rabah, Oduol,

    Oluka, & Nyamwaya, 1998; Williams et al., 1999;

    Williams & Mungai, 1999), the reality was that, in

    addition to the public health system, other sources of

    drugs, biomedical and non-biomedical health care

    existed. For example, the majority of studies reported

    that pharmaceutical drugs (antipyretics and anti-malar-

    ial drugs) were available and purchased from licensed

    drug shops, non-licensed shops (e.g. grocers), informal

    table top drug sellers, as well as from private and non-

    governmental organization (NGO) clinics and hospitals

    (see Table 3 for references). Use of these sources of care

    ARTICLE IN PRESS

    Table 1

    Recognition of illness

    Uncomplicated malaria:

    common, minor & mild febrile

    illness, treated in home often

    with tepid sponging, domestic

    herbal preparations &/or useof drugs in the home

    Serious illness: fever with

    vomiting, cough or diarrhea,

    high fever or persistent fever

    with headache

    Convulsions: a primary

    symptom differentiating severe

    illness from normal malaria

    with supernatural or

    spiritual force involved

    East

    Africa

    Adome et al., 1997, 1998;

    Baume, 1998; Ellman &

    Shayo, 1997; Jenkins, 1998;

    Kengeya-Kayondo et al., 1994;

    Klaver, 1993; Molyneux et al.,

    2002; Mwenesi, 1994; Mwenesi

    et al., 1995; Nyamongo, 2002;

    Reynolds-Whyte & Birungi,

    2000; Ruebush et al., 1995;

    Shafritz & Helitzer-Allen,

    1996; Tarimo et al., 1998,

    2000; Williams & Mungai,1999; Winch et al., 2000b.

    Baume, 1998; Jenkins, 1998;

    Molyneux et al., 2002; Shafritz

    & Helitzer-Allen, 1996;

    Tarimo et al., 1998.

    Alilio et al., 1998; Hausmann-

    Muela & Muela, 1998;

    Kengeya-Kayondo et al., 1994;

    Makemba et al., 1996;

    Mwenesi et al., 1995;

    Nyamongo, 1999a; Oberlander

    & Elverdan, 2000; Tarimo

    et al., 1998.

    West

    Africa

    Adongo & Hudelson, 1995;

    Agyepong & Manderson,

    1994; Agyepong, 1995; Ahorlu

    et al., 1997; Isah, Isah, & Ogie,

    1995; Jenkins, 1998; Ortega &

    Binka, 1994; Thera et al., 2000.

    Agyepong, 1995; Agyepong &

    Manderson, 1994; Jenkins,

    1998; Ortega & Binka, 1994.

    Adongo & Hudelson, 1995;

    Ahorlu et al., 1977; Maynard

    Tucker, 2000; Ortega & Binka,

    1994.

    Southern

    Africa

    Baume et al., 2000; Douglass,

    1998; Jenkins, 1998; Williams

    et al., 1999.

    Baume et al., 2000; Baume &

    Macwangi, 1998; Govere

    et al., 2000; Jenkins, 1998.

    Baume et al., 2000; Baume &

    Macwangi, 1998; Jenkins,

    1998.

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    was high and driven by practical concerns: greater ease

    of access due to longer and more flexible operating

    hours and larger number of facilities to choose from,

    dependable and adequate levels of supplies and drugs,

    staff comprised of known local community members

    (often relatives, sometimes even children) and, in some

    instances, perceived cheaper costs (see Table 3 for

    references). In addition, many studies reported the

    existence of a series of traditional healers, who were

    perceived to have familiarity with a wide range of

    clinical, emotional, and spiritual problems. The tradi-

    tional healers ranged from spiritual and demon healers

    through wound healers and bone setters to old women,

    who were not considered as traditional healers by the

    community but who were known to have the knowledge

    of experience and were used for advice (see Table 4). For

    example, in Tanzania, certain grandmothers or bibis

    were respected sources of care and advice: they did not

    ARTICLE IN PRESS

    Table 2

    Treatment for convulsions

    Primary use of traditional healers Biomedicine and traditional healers

    East Africa Hausmann Muela & Muela, 1998; Makemba

    et al., 1996; Mwenesi et al., 1995; Snow et al.,

    1998.

    Alilio et al., 1998; Alilio & Tembele, 1994;

    Jenkins, 1998; Molyneux, Mungala-Odera,

    Harpham & Snow, 2000; Molyneux et al., 2002;Winch et al., 2000a.

    West Africa Adongo & Hudelson, 1995; Maynard-Tucker,

    2000; Ortega & Binka, 1994.

    Jenkins, 1998; Sommerfeld et al., 2001.

    Southern Africa Baume & Macwangi, 1998; Baume et al., 2000;

    Jenkins, 1998.

    Table 3

    Patterns of resort to care for uncomplicated malaria

    Use of Pharmaceuticals (Purchase of

    antimalarials or use of drugs left-over

    from previous illness episodes) before

    visiting health facility

    Private sector: closer

    with regular supply of

    drugs

    Private sector: friendly,

    negotiated charges and

    offered credit

    East Africa Adome et al., 1998; Allilio et al., 1997;

    Ellman & Shayo, 1997; Fraser-Hunt &

    Lyimo, 1998; Geissler et al., 1998; Gilson

    et al., 1994; Kengeya-Kayondo et al.,

    1994; Klaver, 1993; Lubanga, Norman,

    Ewbank, & Karamagi, 1997; Massele

    et al., 1998; Molyneux et al., 2000;

    Molyneux et al., 2002; Mwenesi, 1994;

    Ndyomugyenyi et al., 1998; Nyamongo,

    2002; Oketch-Rabah et al., 1998;

    Reynolds-Whyte & Birungi, 2000;

    Ruebush et al., 1995; Shafritz & Helitzer-

    Allen, 1996; Van der Geest, 1999; WHO/TDR, 1999; Winch et al., 2000b.

    Alilio & Tembele, 1994;

    Ellman & Shayo, 1997;

    Floyd, 1996; Marsh &

    Mutemi, 1997;

    Molyneux et al., 2002;

    Mulemi, 1998; Ongore &

    Nyabola, 1996; World

    Bank/WHO/UNICEF,

    1999b.

    Armstrong-Schellenberg

    et al., 2001; Baume,

    1998; Geissler et al.,

    1998; Jenkins, 1998;

    Klaver, 1993; Reynolds-

    Whyte & Birungi, 2000.

    West Africa Adongo & Hudelson, 1995; Adome et al.,

    1996; Adome et al., 1997; Agyepong &

    Manderson, 1994; Agyepong, 1995;

    Biritwum & Welbeck, 2000; Isah et al.,

    1995; Ortega & Binka, 1994; Thera et al.,

    2000; Watling, 1995.

    Goel, Ross-Degnan,

    Berman, & Soumerai,

    1996; Standing, 1996.

    Adongo & Hudelson,

    1995; Agyepong &

    Manderson, 1994;

    Jenkins, 1998.

    Southern Africa Baume et al., 2000; Baume & Macwangi,

    1998; Douglass, 1998; Slutsker et al.,

    1994; Van Geldermalsen & Munochiveyi,

    1995; Watling, 1995.

    Baume et al., 2000;

    Baume & Macwangi,

    1998; Douglass, 1998;

    Franco et al., 1997;

    Standing, 1996; World

    Bank/WHO/UNICEF,

    1999b.

    Jenkins, 1998.

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    charge for services and they were accessible day and

    night (Hausmann-Muela & Muela, 1998).

    Patterns of treatment seeking

    Comparisons of patterns of treatment seeking be-

    tween studies were hampered by variations in definitions

    of terms such as home treatment and time to

    treatment, as well as by variations in data collection

    and analytical techniques. However, while there was nosingle pattern of treatment seeking (either within or

    between communities), as mentioned earlier, generally

    the first response to the recognition of febrile illness was

    some form of home treatment. In addition to tepid

    sponging and/or use of local herbs, drugs were

    frequently purchased from informal sources, such as

    shops, chemists, itinerant vendors, and even other

    households (Foster, 1995; McCombie, 1996). In fact,

    drugs were often purchased and used before seeking care

    at a health care facility (see Table 2 for references). In

    most cases, drug sellers (drug shops, general shops

    stocking drugs and itinerant vendors) were closer than

    the nearest public health facility and, unlike the public

    health facilities, they had a reliable supply of drugs (see

    Table 3 for references). In addition, drug sellers also

    responded to community pressure (e.g., offering certain

    tablets or injections perceived to be strong), were

    perceived as friendly, and negotiated charges and

    offered credit when purchasing drugs, which was seen

    as a definite benefit (see Table 3 for references). Left-

    over drugs from previous illness episodes were also

    administered when another family member became

    ill, particularly in poorer communities (Adongo &

    Hudelson, 1995; Agyepong, 1995; Baume & Macwangi,

    1998; Biritwum & Welbeck, 2000; Dondi, Danda, &Kangere, 1998; Douglass, 1998; Francis, 1997; Ruebush,

    Kern, Campbell, & Oloo, 1995; Shafritz & Helitzer-

    Allen, 1996). The use of health-care facilities as the first

    choice for treatment was found only in a small minority

    of the studies. Factors influencing this pattern of

    treatment seeking included situations in which antima-

    larials were difficult to obtain outside the health-care

    facilities and/or these public facilities were the closest

    and most reliable source of inexpensive or free

    antimalarials (Baume, Helitzer-Allen, & Kachur, 2000;

    Clarke, Rowley, Bogh, Walraven, & Lindsay, 1999). In

    addition, in one study in an area of unstable transmis-

    sion, health facilities were used initially in preference to

    home treatment (Lindblade, ONeill, Mathanga, Ka-

    tungu, & Wilson, 2000). In this study, hospital care was

    favored as provision of care was perceived to be of good

    quality, drugs were available on site, services were

    provided at very low cost, and the facility could treat

    severe cases of malaria. Most studies reported simulta-

    neous use of several strategies (see Table 5 for

    references). In addition to biomedicine, people soughtlocal solutions to problems and used familiar sources of

    treatment (such as herbs) (Oketch-Rabah et al., 1998).

    However, home management or self treatment should

    not be thought of as a default response to lack of

    adequate health-care services, for it occurred in areas

    even where biomedical and traditional services were

    widely available, accessible, and known to local com-

    munities (Hausmann-Muela & Muela, 1998).

    If the home-treatment strategies were perceived as

    non-effective or as failing (i.e., there was no improve-

    ment within 48 h or additional symptoms appeared),

    then help was generally sought from a more qualified

    provider of health care. These providers were frequently

    bio-medical health-care providers (either in the public,

    NGO or private health-care system), but some studies

    found that care outside the home was also sought from

    traditional healers. As noted earlier, use of traditional

    healers frequently overlapped with seeking care from a

    health-care facility and it was commonplace to use a

    combination of modern and traditional medicines (see

    Table 5 for references). Often, traditional healers would

    refer clients to health-care facilities if the malady was

    perceived to be more amenable to conventional therapy,

    if physical symptoms worsened, or if there was a

    perception that the traditional remedy had failed(Gessler et al., 1995a; Makemba et al., 1996). However,

    the appearance of convulsions (a manifestation often

    viewed as unrelated to malaria) frequently leads to a

    significant alteration in perceptions about the disease

    and precipitated a change in treatment actions. Some

    studies suggested that, once convulsions appeared,

    traditional healers were the primary source of treatment

    but others found that traditional healers were employed

    in addition to biomedical interventions (see Table 2 for

    references).

    Literature focusing on malaria treatment-seeking

    behaviors during pregnancy is scanty (Helitzer-Allen,

    ARTICLE IN PRESS

    Table 4

    Range of Healers: familiar with variety of clinical, spiritual & emotional problems & used for advice

    East Africa Alilio & Tembele, 1994; Baume, 1998; Ellman & Shayo, 1997; Gessler et al., 1995a, b; Hausmann-

    Muela & Muela, 1998; Jenkins, 1998; Khayundi, 2000; Makemba et al., 1996; Maynard-Tucker,

    2000; Molyneux et al., 2000, 2002; Winch et al., 2000a.

    West Africa Agyepong 1995; Clark et al., 1999; Maynard-Tucker, 2000; Ortega & Binka, 1994.

    Southern Africa Baume et al., 2000; Baume & Macwangi, 1998; Winston, Patel, Musonza, & Nyathi, 1995.

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    Macheso, Wirima, & Kendall, 1994; Khayundi, 2000;

    Ndyomugyenyi, Neema, & Magnussen, 1998; Schultz

    et al., 1994b; Standing, 1996; UNICEF, 2000). The

    major findings included low antenatal clinic attendance

    and low and inconsistent use of malaria chemoprophy-laxis among pregnant women (Khayundi, 2000; Lemar-

    deley et al., 1997; Massele, Mpundu, & Hamudu, 1997;

    Mnyika, Kabalimu, & Lugoe, 1995; Mnyika, Kabalimu,

    & Mbaruku, 1998; Phillips-Howard, 1999).

    Decision-making processes

    The literature reviewed demonstrated that people are

    not passive recipients of care. Decisions about choices of

    providers and which drugs to use are made system-

    atically, based on prior illness and treatment experi-

    ences, local beliefs about how illnesses should be treated,

    understandings of illness etiologies, recognition of

    constellations of symptoms, influence of social net-

    works, and a realistic appraisal of available options

    (Beckerleg, 1994; Geissler, Nokes, Prince, & Aagaard-

    Hansen, 1998; Gilson, Alilio, & Heggenhougen, 1994;

    Janzen, 1978; Molyneux, Murira, Masha, & Snow, 2002;

    Oberlander & Elverdan, 2000; Ofori-Adjei & Arhinful,

    1996; Oketch-Rabah et al., 1998). Williams et al. (1999)

    also found that a new drug (in this case, sulfadoxine-

    pyrimethamine introduced in an area that had used

    chloroquine almost exclusively) could be accepted and

    used based on its demonstrated clinical efficacy.

    Decisions about choice and sequencing of treatments

    were often based more on perceived effectiveness of amedication or treatment for a particular constellation of

    symptoms in a particular illness episode, rather than a

    belief in their relationship to a specific cause of the

    illness (Ager, Carr, Maclachland, & Kaneka-Chilongo,

    1996; Hausmann-Muela & Muela, 1998; Klaver, 1993;

    Mogensen, 1998). That is, in many of the communities

    studied, uncomplicated malaria was frequently viewed

    as a mild childhood illness, the treatment for which was

    not necessarily malaria specific, but rather reflected a

    more generalized pattern of the management of mild

    febrile symptoms with diagnosis altering in response to

    symptom variation and treatment outcomes. In addi-

    tion, even where the biomedical model of causation for

    malaria is well known, it is unlikely to be the only factor

    affecting treatment decision making (see Table 1 for

    references). For example, regardless of the level of

    acceptance of the biomedical etiology of degedege (alocally construed symptom complex mirroring cerebral

    malaria), Tanzanian women readily used local remedies,

    such as herbal baths and teas, when degedege was

    suspected. These practices were guided mostly by years

    of experience and local knowledge passed from one

    generation of women to the next (Hausmann-Muela,

    Muela, & Tanner, 1998; Oberlander & Elverdan, 2000).

    Essentially, as symptoms alter, beliefs and explanations

    shift and alternate types of treatments are employed

    until an outcome (recovery or death) is reached

    (Hausmann-Muela, Muela, & Tanner, 1998; Oberlander

    & Elverdan, 2000). Various terms have been used

    to describe this type of treatment-seeking behavior,

    including: trial and error (Alilio & Tembele, 1994),

    nomadic (Baume, 1998), and try and see (Kenyan

    Medical Research Institute, 1995; Marsh & Mutemi,

    1997).

    Delays in seeking treatment

    McCombie (1996) noted that delays in treatment-

    seeking behaviors were actually studies of time before

    presentation to a health facility, not time to any

    treatment. In the literature we reviewed, there were

    few definitions for delay in treatment,4 but there were

    very few situations in which mothers or caregivers didnothing (Biritwum & Welbeck, 2000). Fevers were

    treated promptly, often with chloroquine (Agyepong &

    Manderson, 1994; Lindblade et al., 2000; Slutsker et al.,

    1994; Thera et al., 2000; Warhurst, 1998). Most initial

    actions occurred between a few hours of symptom

    recognition and 48 h, with delays in treatment seeking

    over 48 h associated with increased distance from the

    clinic (Lindblade et al., 2000; Slutsker et al., 1994;

    ARTICLE IN PRESS

    Table 5

    Strategies for treatment

    Combination of modern and traditional & simultaneous use of several strategies (trail & error, no clear

    hierarchy of use)

    East Africa Alilio & Tembele, 1994; Baume, 1998; Geissler et al., 2000; Hausmann-Muela et al., 1998; Jenkins, 1998;

    Kenyan Medical Research Institute, 1995; Khayundi, 2000; Molyneux et al., 2000, 2002; Munguti, 1997;Oberlander & Elverdan, 2000; Oketch-Rabah et al., 1998; Winch et al., 2000a.

    West Africa Agyepong, 1995; Agyepong & Manderson, 1994; Ahorlu et al., 1997; Jenkins, 1998; Ortega & Binka, 1994;

    Sommerfeld et al., 2001; Thera et al., 2000.

    Southern Africa Baume et al., 2000; Baume & Macwangi, 1998; Jenkins, 1998.

    4One of the few definitions was given by Lindblade et al.

    (2000), who defined delay as treatment that occurs ...o1 day

    between onset of symptoms and first treatment (p. 867).

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    Tarimo et al., 1998; Thera et al., 2000; Watling, 1995).

    In a study of treatment seeking in an area of unstable

    transmission (Lindblade et al., 2000), neither demo-

    graphic nor socioeconomic status was associated with

    receiving prompt, effective treatment. Rather, the most

    important predictor for seeking rapid treatment at a

    health facility was perceived severity of illness.In a study of childhood deaths, findings from verbal

    autopsies indicated that 93% n 125 of the children

    who died had been seen in a health-care center or

    hospital within 2 weeks of their deaths. Matching

    surviving controls with the deceased children showed

    that the elapsed time between disease onset to first

    consultation was shorter for those who died than those

    who survived (Sodeman, Jakobsen, Molbak, Alvarenga,

    & Aaby, 1997).

    Factors influencing choice of care

    Reasons for not seeking treatment immediately from

    outside the household, in spite of recognizing symptoms

    that corresponded to the biomedical notion of malaria,

    included: lack of money, illness starting at night, beliefs

    that the symptom complex could be successfully treated

    at home, and cultural differentiations about the

    seriousness of different types of the same symptom

    complex (Kengeya-Kayondo et al., 1994; Thera et al.,

    2000).

    Furthermore, although several studies found that

    health workers were perceived as knowing the best (or

    proper) treatment or providing the best advice

    (Agyepong & Manderson, 1994; Baume, 1998; Baume

    et al., 2000; Jenkins, 1998; Shafritz & Herlitzer-Allen,

    1996; Tarimo et al., 1998; World Bank/WHO/UNICEF,

    1999a) and, once consulted, doctors are most influential

    in terms of decision making about the illness, there were

    many studies describing wide dissatisfaction with public

    facilities. The key issues (mentioned in the majority of

    the studied reviewed) contributing to this dissatisfaction

    were: consistent lack of drugs and equipment, poor staff

    attitudes, cost (direct and indirect) and accessibility

    (distance and limited opening hours) (see Table 6 for

    references).

    In addition to dissatisfaction with public healthfacilities, several studies pointed to other factors, which

    were found to influence choice of care.

    Seasonality

    Seasonality influenced access to care in a variety of

    ways. Ability to access clinics during rainy seasons was

    often hampered by poor or absent roads (Nyamongo,

    1999b). During periods of cultivation, farming demands

    often made it impossible to attend clinics, including

    antenatal care (Khayundi, 2000; Schultz et al., 1994b),

    and may restrict the ability to monitor the progress of

    the illness (Dawson, 1996). Disposable income was also

    limited during periods of hunger or cultivation, thus

    limiting the ability to pay clinic fees (Hausmann-Muela

    et al., 1998).

    Age, gender and social equity

    Most treatment-seeking studies focus on children

    under the age of 5, although a few studies are nowbeginning to look at treatment seeking in other age

    groups (Agyepong & Manderson, 1994; Geissler et al.,

    1998; Krause & Sauerborn, 2000; Lindblade et al.,

    2000). The influences of gender and age are beginning to

    be recognized in terms broader than physiological

    vulnerability. A few papers recognized social, cultural

    and economic factors relating to distribution of power

    and resources as variables that create a different type of

    vulnerability that limits the ability to seek care or have

    necessary access to information and resources (Gheb-

    reyesus, Alemayehu, Bosman, Witten, & Teklehaima-

    not, 1996; Khayundi, 2000; Mulemi, 1998; Munguti,1998b; Oberlander & Elverdan, 2000; Tanner & Vlass-

    off, 1998; Vlassoff & Bonilla, 1994). In some studies, it

    was difficult for women to access health care due to the

    possible perception of sexual disloyalty if the woman

    received care from a male health-care worker and, in

    other studies, social pressure constrained womens

    abilities to express their needs and admit to feeling ill

    for fear of being thought weak (Francis, 1997;

    Ghebreyesus et al., 1996; WHO/RBM, 1999). However,

    the influence of power as it shapes the ability to seek

    treatment is rarely a leading theme in the literature.

    Social equity is also related to educational opportu-

    nities, with African women generally having lower levels

    of education than African men (Munguti, 1998b). Lower

    educational levels have been significantly associated with

    lower levels of malaria knowledge, fewer antenatal visits

    and hospital deliveries, and lower frequencies of clinic

    visits (Carme, Plassart, Senga, & Nzingoula, 1994;

    Macheso et al., 1994; Mwenesi, Harpham, & Snow,

    1995; Schultz et al., 1994b; Slutsker et al., 1994; Tarimo

    et al., 2000; Watling, 1995). Poverty, in general, has been

    identified as a major constraint for access and use of

    health care facilities (Biritwum & Welbeck, 2000; Kager,

    2002; Macheso et al., 1994; Moerman et al., 2003).

    Household social organization and locus of decision

    making

    In spite of women often being the first to recognize

    illness and having the responsibility for illness manage-

    ment, they may be prevented from seeking appropriate

    treatment as ultimate decision-making responsibility

    and control of finances may lie outside of their social

    purview (Alilio, Eversole, & Bammek, 1998; Heggen-

    hougen, Hackethal, & Vivek, 2003; Molyneux et al.,

    2002; Mwenesi, Harpham, & Snow, 1995; Oberlander &

    Elverdan, 2000; Tanner & Vlassoff, 1998). Other factors

    included heavy workloads that preclude women from

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    seeking treatment for themselves or their children

    (Dawson, 1996; Ghebreyesus et al., 1996).

    Drug use: consumer and provider behavior

    Drug use by consumers

    Findings about reported drug-use patterns indicatedthat polypharmacy practices were common and Western

    pharmaceuticals were often given concurrently with

    herbal preparations (see Table 7 for references). Drugs

    were sold both to adults and children (Geissler et al.,

    1998; Maende & Prince, 1998). Caregivers frequently

    reported using antipyretics/analgesics as a first-line

    treatment for malaria (see Table 7 for references).

    Inappropriate drug dosages and/or incorrect timing of

    dosages were frequently reported, particularly for

    smaller children (see Table 7 for references). Findings

    from a nationwide knowledge, attitude, and practice

    (KAP) study in Malawi indicated that less than 30% of

    people were estimated to have received appropriate

    antimalarial doses (Macheso et al., 1994). In one

    qualitative study in western Kenya, pregnant women

    could not distinguish between routine medications given

    in antenatal clinic, such as vitamins, from antimalarials

    (Williams & Mungai, 1999). Although some work is

    beginning to focus on descriptions of community druguse patterns (Adome et al., 1998; Geissler et al., 1998;

    Massele, Nsimba, Warsame, & Tomson, 1998) few

    studies were found that attempted to quantify actual

    drug use. Two studies assessed self-reported drug use,

    combined with blood levels of antimalarials (Kenyan

    Medical Research Institute, 1995; Verhoef et al., 1999).

    Delivery of drugs by providerswhat are they doing?

    Most treatment-seeking studies examine the behaviors

    of mothers or care givers in terms of appropriate

    management of malaria. However, the quality of health-

    care services needs to be examined as well. In spite of

    ARTICLE IN PRESS

    Table 6

    Reasons for non-use of health facilities

    No drugs (&/or

    equipment)

    Too far, closed, or

    queues

    Cost (treatment, loss of

    income, transport, etc.)

    Rude health

    workers

    East Africa Ahmed, Urassa, Gherardi,

    & Game, 1996; Alilio &Tembele, 1994; Alilioet al.,

    1998; Geissler et al., 1998;

    Gilson et al., 1994;

    Jenkins, 1998; Massele

    et al., 1998;

    Ndyomugyenyi et al.,

    1998; Nsimba et al., 1999;

    Nyamongo, 2002; Oketch-

    Rabah et al., 1998; Osei &

    Commey, 1994; Ruebush

    et al., 1995; Shafritz &

    Helitzer-Allen, 1996;

    World Bank/WHO/

    UNICEF/KenyanMinistry of Health, 1998.

    Geissler et al., 1998;

    Gilson et al., 1994;Jenkins, 1998;

    Lindblade et al.,

    2000; Maende &

    Prince, 1998;

    Munguti, 1998a;

    Ndyomugyenyi

    et al., 1998; Oketch-

    Rabah et al., 1998;

    Ruebush et al.,

    1995; Shafritz &

    Helitzer-Allen,

    1996; Tarimo et al.,

    2000.

    Geissler et al., 2000;

    Jenkins, 1998; Lindbladeet al., 2000;

    Ndyomugyenyi et al.,

    1998; Williams & Mungai,

    1999.

    Dondi et al., 1998;

    Gilson et al., 1994;Mwenesi, 1993;

    Nyamongo, 1999b;

    Ruebush et al.,

    1995; Shafritz &

    Helitzer-Allen,

    1996; Williams &

    Mungai, 1999.

    West Africa Jenkins, 1998; Osei &

    Commey, 1994; Standing,

    1996.

    Adongo &

    Hudelson, 1995;

    Agyepong, 1995;

    Ahorlu et al., 1997;

    Jenkins, 1998;

    Maynard-Tucker,

    2000; Ortega &

    Binka, 1994.

    Adongo & Hudelson,

    1995; Agyepong, 1995;

    Ahorlu et al., 1997;

    Jenkins, 1998; Maynard-

    Tucker, 2000; Ortega &

    Binka, 1994.

    Maynard-Tucker,

    2000.

    Southern

    Africa

    Baume et al., 2000; Baume

    & Macwangi, 1998;

    Douglass, 1998; Franco

    et al., 1997; Jenkins, 1998;Standing, 1996; Williams

    et al., 1999; World Bank/

    WHO/UNICEF, 1999a.

    Baume et al., 2000;

    Douglass, 1998;

    Jenkins, 1998;

    Schultz et al.,1994b.

    Baume et al., 2000;

    Douglass, 1998; Jenkins,

    1998; Macheso et al., 1994;

    Schultz et al., 1994.

    Douglass, 1998;

    Williams et al.,

    1999.

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    repeated calls for rational drug use of antimalarials, little

    emphasis has been given to examining how providers

    prescribe antimalarials. While provider behavior was

    rarely the main focus in the reviewed studies, many of

    the studies reported either anecdotal or observed poor

    practice at both public and private health facilities (see

    Table 6 for references). These included: lack of counsel-

    ing, poor diagnosis, rude treatment of patients and

    caregivers, as well as over prescription of drugs,

    incorrect dosage and poor explanation of drug. Delays

    in initiation of treatment at health-care facilities and

    delays in diagnosis by hospital laboratories were also

    noted in studies examining malaria-related deaths

    (Durrheim, Frieremans, Kruger, Mabuza, & de Bruyn,

    1999; Sodeman et al., 1997).

    Data from the qualitative component of a rapid

    assessment for district-based malaria prevention duringpregnancy (Williams & Mungai, 1999) indicated little

    consistency among health-care workers in what was

    prescribed for pregnant women experiencing malaria.

    Not only were there differences among health-care

    workers in the same center, differences also existed

    across centers. Actual practice differed markedly from

    what was supposed to be practiced as per national

    treatment guidelines.

    There is a growing recognition that even when formal

    providers have correct knowledge about drug dosages

    and therapeutic management, knowledge does not

    predict behavior (Brugha & Zwi, 1998; Ofori-Adjei &

    Arhinful, 1996). In a study from Ghana examining the

    effect of training on the clinical management of malaria

    by medical assistants (Ofori-Adjei & Arhinful, 1996),

    findings showed that gains in knowledge following

    training deteriorated within 1 year. Common practices

    like polypharmacy, high use of injectables and poor

    recording were identified. These practices were found to

    be rooted in a sociocultural basethat of responding to

    the social expectations of the community, which

    demanded injectable medications and wanted prompt

    treatment. Prescriptive practices were driven more by

    these community expectations of how a health-care

    worker should perform, than by the knowledge gained

    in the in-service training.

    Inappropriate prescribing practices also extended to

    the private sector. Informal drug sellers generally lacked

    pharmaceutical or health training of any sort, yetdispensing of inappropriate dosages and offering advice

    was commonly practiced by these vendors (Djimde et al.,

    1998; Kofoed, Dias, Lopes, & Rombo, 1998; Krause

    et al., 1998; Massele et al., 1998; Mwenesi, 1994; Oketch-

    Rabah et al., 1998; Ongore & Nyabola, 1996). Drugs

    that were sold did not necessarily correspond to national

    malaria treatment policies (Feller-Dansokho, Diop, &

    Badiane, 1995). Even when sanctioned providers

    offered correct dosing regimens and used drugs recom-

    mended by national policies, consumers opted to buy

    non-recommended treatments for malaria and reported

    giving sub-optimal doses when using recommended

    ARTICLE IN PRESS

    Table 7

    Drug use

    Pharmaceuticals &

    herbs

    Antipyretics/analgesics as first-

    line treatment for malaria

    Inappropriate dosage/

    timing of intake

    Poor provider

    practice

    East Africa Hall, 2000; Massele

    et al., 1998;Molyneux et al.,

    1999; Oketch-

    Rabah et al., 1998;

    Ongore & Nyabola,

    1996; Snow et al.,

    1998.

    Adome et al., 1998; Baume,

    1998; Dondi et al., 1998;Douglass, 1998; Geissler et al.,

    1998; Jenkins, 1998; Klaver,

    1993; Marsh & Mutemi, 1997;

    Molyneux et al., 2000; Mulemi,

    1998; Reynolds-Whyte &

    Birungi, 2000; Shafritz &

    Helitzer-Allen, 1996; Tarimo

    et al., 2000.

    Baume, 1998;

    Dondi et al., 1998;Floyd, 1996; Gilson

    et al., 1994.

    West Africa Sesay &

    Wijeyaratne, 1994;

    Thera et al., 2000.

    Adongo & Hudelson, 1995;

    Agyepong, 1995; Douglass,

    1998; Jenkins, 1998; Watling,

    1995.

    Krause et al., 1998;

    Krause & Sauerborn,

    2000; Osei & Commey,

    1994; Thera et al., 2000.

    Agyepong, 1995;

    Douglass, 1998;

    Standing, 1996.

    Southern Africa Baume & Macwangi, 1998;

    Baume et al., 2000; Douglass,1998; Jenkins, 1998; Slutsker

    et al., 1994.

    Baume et al., 2000;

    Slutsker et al., 1994.

    Baume &

    Macwangi, 1998;Baume et al., 2000;

    Franco, Daminsoni,

    & Francisco, 1996;

    Franco et al., 1997;

    Standing, 1996.

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    anti-malarials (Djimde et al., 1998). Shopkeeper training

    in proper dispensing of anti-malarials appears to hold

    promise as an intervention addressing the urgent need

    for better dispensing practices (Marsh et al., 1999; Van

    der Geest, 1999). As well, some novel approaches in

    malaria education programs are beginning to target

    school children as agents of change for the community(Brooker et al., 2000; Bundy, Lwin, Osika, McLaughlin,

    & Panneborg, 2000; Geissler et al., 1998). There was

    little mention of drug regulation or enforcement of laws

    pertaining to sales of supposedly regulated prescription

    drugs (Alilio et al., 1997; Geissler et al., 1998; Oketch-

    Rabah et al., 1998; Ongore & Nyabola, 1998). In

    addition, findings from a study of illness episodes among

    primary school children in Western Kenya indicated

    that children purchased drugs from shops near their

    schools, where young children served as the shop-

    keepers (Geissler et al., 1998; Maende & Prince, 1998).

    Involvement of social scientists in the social science

    research

    We were interested in knowing how much of the

    research on aspects of malaria control related to human

    behavior included contributions by a trained social

    scientist. To give a rough estimation, the papers were

    coded as to whether the authorship included a trained

    social scientist (identified by degree, institutional affilia-

    tion or personal contact). If the status of the author/s

    could not be determined, it was coded as unknown. Out

    of these papers, we could only identify a social scientistin 37 of the 87 of the research papers (43%). However,

    social scientists were included as authors or contributors

    to 20/35 of the technical papers (64.5%) and 13/15

    (86.7%) of the unpublished papers. Of all the published

    papers (research and other categories, n 116), social

    scientists were the sole or primary author in 29% n

    34 of the documents.

    Discussion of results

    Have Gaps in Knowledge & Previous Calls to Action

    Been Addressed?

    The results of the current review suggest that, since the

    McCombie (1996) review, we have amassed increasing

    quantities of descriptive data on treatment-seeking

    behavior. These data, to a large extent, echo the findings

    of the McCombie review. That is, choice of treatment is

    affected by a number of factors, multiple resorts to care

    are often used, and the use of modern medicines in some

    form is usually high. We do have some additional

    understanding of the different treatments people employ

    based on how they differentiate uncomplicated and

    severe malaria and there is more information about how

    provider behaviors impact treatment-seeking behaviors

    (Durrheim, Frieremans, Kruger, Mabuza, & de Bruyn,

    1999). However, to a large extent, the gaps identified by

    McCombie (1996), and the methodological issues raised,

    remain unaddressed.

    Quantification of drug intake

    Quantification of drug intake continues to be ignored.

    With one or two notable recent exceptions (Massele

    et al., 1997; Oketch-Rabah et al., 1998), there are still

    limited data on actual drug intake and the reasoning

    that drives behaviors surrounding the use of anti-

    malarials (Hausmann-Muela & Muela, 1998; Molyneux

    et al., 2002). A limitation of the existing data is that it is

    based mostly on self-report obtained through question-

    naire surveys. Self-report data can be biased with recall

    difficulties, an inability of caregivers to differentiate

    drugs, as well as confusion about dosing when givingmultiple drugs. Not only do we not fully understand

    drug use from the consumer or patient perspective, we

    also continue to operate on assumptions that providers,

    given the right information, will practice rational drug

    use based on clinical or scientific rationalitythis

    assumption needs to be tested (Trostle, 1996). A recent

    informal consultation on the use of antimalarial drugs

    by WHO suggests that operational research is needed to

    determine ways of improving prescribing practices

    involving drug vendors and other informal sector

    providers (World Health Organization, 2001). Expand-

    ing the argument further, we need to examine carefully

    what can realistically be considered rational antimalarial

    drug use, given the extremes of poverty facing patients,

    consumers, and even Ministries of Health throughout

    sub-Saharan Africa.

    Recognition of uncomplicated and severe malaria

    In regard to understanding how people differentiate

    between uncomplicated and severe malaria, we now

    know that in many places people are able to distinguish

    between uncomplicated and severe disease. The progres-

    sion from mild to severe disease is of major public health

    significance, but clinicians and researchers from all

    public health disciplines have been challenged by theirlimited understanding of why some cases proceed to

    severe disease and others do not. Obviously, biomedical

    and epidemiology factors, such as levels of transmission

    and degree of parasitemia, levels of acquired immunity

    and how that immunity is affected by other factors such

    as concurrent disease, malnutrition, etc.,5 are critical to

    this process, but it is also influenced by choices made

    regarding type and timing of treatment. An implication

    is often made that, by delaying biomedical treatment,

    ARTICLE IN PRESS

    5Discussion of the numerous physiological factors that affect

    progression of disease is beyond the scope of this paper.

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    severe disease may be the fault of the mother or

    caregiver. However, the extent to which caregiver

    recognition, early treatment, use of herbal versus

    western medicines, etc., contributes has still not been

    carefully studied to date. Some of the results from this

    review suggest that use of herbal and traditional

    medicines does not unduly delay the seeking ofbiomedical care (Alilio & Tembele, 1994; Baume et al.,

    2000; Baume & Macwangi, 1998; Heggenhougen et al.,

    2003; Jenkins, 1998). On the other hand, we still have a

    limited understanding of what happens in severe disease

    at the household level. Studies of drug intake and severe

    disease are prime examples of areas in malaria control in

    which the joint efforts of social scientists, epidemiolo-

    gists and clinicians are needed. Scientists from the

    various disciplines should be working together in order

    to identify possible avenues for intervention. Social

    science research alone cannot provide the answer

    to these questions, but the contextual informationthat it offers can greatly enhance our understanding of

    the human processes that affect the progression of

    disease.

    Terminology

    Terminology is still vague and we have a limited

    understanding as to what is included in definitions of

    home versus self-treatment (an exception is Geissler

    et al., 1998), or what constitutes rational drug use.

    Furthermore, what is meant by prompt treatment is

    not usually defined. These problems with definition not

    only lessen our ability to interpret research findings but

    also make cross-study comparisons extremely difficult.

    Methodological rigor

    As well as concerns with terminology, the McCombie

    review in 1996 (and more recently in 2002) also strongly

    recommended that there needed to be improvements in

    methodological rigor; yet this area remains problematic.

    There were limited descriptions of methods, confusion

    with terms relating to methods applied, lack of attention

    to ethical review, and few details of analysis, other than

    mentioning which software package was used. In

    research papers, results were woven into discussion of

    results and recommendations. The lack of informationpresented makes it exceedingly difficult to judge the

    rigor that might have been applied to the study and

    contributes to the difficulties encountered in any cross-

    comparison of studies. There is also concern that few

    studies used more than one method of data collection.

    Triangulation was rarely used, except in studies that

    were completed by trained anthropologists or other

    social scientists.

    In addition to greater rigor, to provide the type of

    contextual information needed to tackle, for example,

    the issues of severe malaria and actual drug intake, there

    is a need for a change in methodological approaches.

    Knowledge, Attitudes and Practices (KAP) surveys and

    rapid assessments provide data on what people say they

    do, which may vary considerably from actual behavior.

    In order to collect the type of data that will provide us

    with a better understanding of actual behaviors and the

    factors affecting behaviors, longer periods of ethno-

    graphic fieldwork are essential. This type of methodol-ogy is usually only seen during doctoral level fieldwork,

    but such fieldwork needs to be central to the develop-

    ment of multi-disciplinary operational research.

    How have we moved on?

    At the time of the McCombie (1996) review, much of

    the social science input to malaria control was largely

    focused on answering the question of why local people

    did not adhere to suggested control measures or

    biomedical treatments. A commonly held view in public

    health was that peoples knowledge was inadequate;thus, people acted in ways contrary to what was

    expected from the biomedical world. KAP surveys were

    commonly employed to contrast what was known or

    understood locally with what should be known in order

    to have effective malaria control (Barrett, 1997; Man-

    derson, 1998; Sommerfeld, 1998). Not surprisingly, the

    findings of many of these surveys indicated that knowl-

    edge by itself and/or attitudes did not necessarily predict

    behaviors. While KAP surveys have provided much

    useful information on describing reported treatment-

    seeking behaviors, they were not sufficient to understand

    the factors influencing those behaviors (Alilio et al.,1998; Biritwum & Welbeck, 2000; Djimde et al., 1998;

    Macheso et al., 1994; Mnyika et al., 1998; Schultz et al.,

    1994a, b; Slutsker et al., 1994; Van Geldermalsen &

    Munochiveyi, 1995).

    Changing our approach

    Since McCombie (1996), more attention has been

    focused on addressing the issue of why people do what

    they do and methods such as rapid ethnographic

    assessment (REA) have become popular tools in applied

    research.6 However, much of research reported to be

    using REA, in fact falls short of the required standards

    for this approach. For example, fieldwork completed in

    only 2 or 3 weeks rather than 3 months and the use of

    field staff who do not speak the local language or have

    long-term familiarity of the area (Jenkins, 1998). Even

    when applied correctly, one of the limitations of these

    ARTICLE IN PRESS

    6 In this paper, rapid assessment refers to collection of data

    over 23 weeks duration. We recognize that, in some situations,

    rapid assessment has been defined as a period of up to 3

    months, such as research commissioned by WHO/TDR

    (Adongo & Hudelson, 1995); however, this appears to rarely

    be the case.

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    methods is that they can also miss sensitive and crucial

    information and do not provide an in-depth under-

    standing of the larger context in which behaviors occur

    (Jenkins, 1996; Lambert, 1998; Manderson, 1998;

    Manderson, Agyepong, Aryee, & Dzikunu, 1996;

    Sommerfeld, 1998). On an encouraging note, results

    from rapid ethnographic studies and recent, innovative(and longer term) research focusing on understanding

    behavioral patterns in the much broader context of

    peoples everyday lives (Adongo & Hudelson, 1995;

    Hausmann-Muela et al., 1998; Heggenhougen et al.,

    2003; Jenkins, 1998; Kidane & Morrow, 2000; Mwenesi,

    1994; Nyamongo, 1999b; Nyamongo, 2002; Reynolds-

    Whyte & Birungi, 2000) have started to convince

    researchers and implementers that the blocks to prompt

    and effective treatment cannot simply be ascribed to a

    lack of knowledge among community members. Social,

    political and economic factors, such as poverty, access to

    health facilities and treatment and the quality of servicesreceived often play a much more prominent role as

    determinates of treatment-seeking behavior. Most re-

    cently, the results from in-depth ethnographic research

    (Hausmann-Muela et al., 1998; Molyneux et al., 1999)

    have highlighted the importance of gender and social or

    economic position of the individual (or responsible care

    giver) in the household on the decision-making processes

    underpinning treatment-seeking behavior.

    The primacy of context in understanding treatment-

    seeking behaviors

    There is now a greater awareness of the complexity of

    treatment-seeking behaviors, including the recognition

    that people are active decision-makers in their own care

    and usually employ multiple sources of care. Decisions

    about treatment seeking are not static but are dynamic

    and iterative (Gilson et al., 1994; Oberlander &

    Elverdan, 2000). Rationale drug use, as commonly

    used in the global malaria community, implies a single

    rationality based on biomedical standards. This con-

    trasts a parallel rationality, which is framed by the need

    to seek treatment in situations of limited resources

    (drugs, access to health care, financial and educational).

    This parallel rationality reflects not only the currentconstraints in seeking biomedical treatment, but also a

    familiarity and comfort with the local environment and

    years of experience with treatment decisions based on a

    system of trial and error that is passed on generation to

    generation (Haaland, 1998). Diagnosing and treatment

    decisions are not the purview of an elite class of health

    professionals but, rather, represent shared experience

    and knowledge well embedded in a local culture

    (Geissler et al., 1998). In this context, treatment

    decisions that arise may not necessarily be linear or

    logical in biomedical terms, but systematic choices are

    made nonetheless.

    When people become ill, their primary goal is to find

    prompt and effective treatment within the constraints

    imposed by their environment. This goal is in agreement

    with one of WHOs central tenets of malaria control

    (i.e., the need for prompt and effective treatment) but, in

    the environment found in most countries in sub-Saharan

    Africa, the pragmatic choice for prompt and effectivetreatment (especially for uncomplicated malaria) cur-

    rently lies outside the formal health sector. Here the

    treatments are usually prompt but not always effective

    by biomedical standards. In fact, the weakness of the

    public health-care system in much of sub-Saharan

    African makes the use of self and home treatments

    indispensable (Adome, Reynolds-Whyte, & Hardon,

    1996; Geissler et al., 1998). We should hardly be

    surprised that people commonly self-treat and stop

    taking medications when they feel better, and that there

    are delays in seeking treatment from a health facility,

    since these practices are also found in developed nationsand elsewhere throughout the world (Bedell et al., 2000;

    Dempsey, Dracup, & Moser, 1995; DiMatteo &

    DiNicola, 1994; DiMatteo, Lepper, & Croghan, 2000;

    Fortney, Rost, & Zhang, 1998; MacGregor, 1997;

    Wagner, Phillips, Radford, & Hornsby, 1995; Walker,

    2001). In fact, in the US alone, 125,000 people are

    estimated to die each year as a result of some form of

    medication non-compliance (Walker, 2001). Cost, dis-

    tance to health-care facilities, poor drug-use education,

    and perceptions of the care expected from health-care

    facilities are just some of the factors that influence

    treatment-seeking behaviors, not only in sub-Saharan

    Africa, but in the developed world as well (Bedell

    et al., 2000; DiMatteo & DiNicola, 1994; DiMatteo

    et al., 2000; Moran & Kim, 2001). As Paul Farmer has

    frequently pointed out ...those least likely to comply

    are those least able to comply (p. 353) as, in many

    settings, degree of compliance is limited by forces

    external to the individual (Farmer, 1997).

    Critics of antimalarial use in sub-Saharan Africa

    should be aware that focusing on the issue of

    compliance in relation to malaria treatment, while

    ignoring the large and critical literature on the issue that

    exists in western Europe and America, could be

    interpreted as establishing a different standard ofpractice for Africans (Manderson, 1998). We are not

    condoning these practices but, rather, raising the issues

    that these practices are not unique to Africa and that the

    concepts of compliance and adherence are imbued

    with the notion that treatment failures are patient

    failures. Social scientists working in malaria control

    should not, therefore, be trying to provide an answer to

    that most frequently asked question how can we get

    them to...... but, rather, we should be pressing to find

    ways to increase peoples capacity to access and

    complete effective treatments. A good example of this

    is the recent concentration on developing the capacity of

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    shopkeepers (who commonly provide many anti-malar-

    ial drugs) to give advice and correct treatment for

    malaria in Kenya (Marsh et al., 1999). This initiative

    arose from detailed ethnographic research that showed

    that the majority of anti-malarial drugs used in a coastal

    Kenyan community were being provided through shops

    and not through health facilities (Mwenesi, 1993). Thepublic health intervention shopkeeper training is

    therefore based on ethnographic work that has

    been used to inform the development of a program

    that addresses the common goal of increasing the

    likelihood of sick children receiving prompt and

    effective treatment.

    While we now have a better description of the factors

    that influence the search for prompt and effective

    treatment, what is not well understood or measured is

    the relative weight or influence of the various factors

    that drive people to seek care in particular situations or

    contexts (Munguti, 1998a). In order to develop effectiveinterventions, it is necessary not only to understand the

    context in which behavior takes place but also to

    examine the relative weight of the various factors

    influencing actions within that context. Little attention

    has been paid to the dynamic nature of both behavior

    and context that vary not only within and among

    countries (e.g. in some regions of Ghana, most of first-

    line treatment is provided by the private sector, whereas

    in other regions of the same country the private sector

    barely exists), but also change over time (Agyepong,

    1995). For example, in the early 1960s in Uganda, the

    main source of first-line health care was the formal

    health sector. Today, the situation is very different as

    most first-line treatments are provided by the informal

    sector. This change has little to do with changes in

    knowledge or belief about disease causation among the

    population, but has a lot to do with the breakdown in

    the formal health sector during the Amin years

    (Reynolds-Whyte & Birungi, 2000). There is, therefore,

    a need to recognize that factors within the local

    environment, such as conflict, natural disasters, changes

    in subsistence patterns, attitudes towards local and

    national government and government structures and

    organizations, go beyond what effective malaria-control

    programs can influence on their own and may not beamenable to single-sector interventions.

    However, it remains to be seen to what extent

    recommendations that fall outside the normally sanc-

    tioned approaches for public health interventions will be

    accepted by other research scientists, policy makers and

    implementers. For example, in Uganda, intervention

    plans were developed for shopkeeper training in three

    districts but political resistance necessitated limiting the

    training to only shop owners and implementing it in

    only one district (Reynolds-Whyte & Birungi, 2000). In

    spite of appearing to challenge conventional wisdom or

    usual modes of action, Van der Geest (1999) urges

    applied anthropologists to continue using cultural

    knowledge to improve public-health efforts, even if it

    means practicing against standard policy.

    What are the factors constraining the contributions of

    social scientists in malaria control?

    Social science involvement in malaria control has

    increased over the past decade, but much remains to be

    done. Social scientists have contributed to infectious

    disease control through focusing on illness etiologies

    and, more recently, through helping to describe and

    understand treatment-seeking behaviors. They are also

    increasingly using this information to make suggestions

    on possible points for intervention (Manderson et al.,

    1996; Sommerfeld, 1998). But, based on the literature

    from this review very little (with a couple of notable

    exceptions: Helitzer-Allen et al., 1994; Kidane &

    Morrow, 2000; Marsh et al., 1999; Pagnoni, Convelbo,Tiendrebeogo, Cousens, & Esposito, 1997; Reynolds-

    Whyte & Birungi, 2000) from this body of work has

    actually been used in designing or testing interventions

    (Manderson, 1998). It is unclear to what extent this is

    due to a failure to communicate the results of research,

    to the lack of importance that is often placed on this

    type of work, or to the fact that many of the

    recommendations either conflict with current policy or

    lie outside the sole control of malaria-control programs.

    From the results of this review, and our experiences

    working in malaria research and control, factors that

    constrain the contributions that social scientists could be

    making to malaria control include: (a) the lack of

    involvement of trained social scientists in malaria

    control, (b) the lack of awareness by Ministries of

    Health, malaria-control programs and many non-social

    science researchers of the variety of disciplines within

    social science and the expertise and assistance each could

    offer, (c) the lack of awareness by social scientists

    themselves of the constraints faced by malaria-control

    programs and the presentation of results that cannot be

    easily interpreted or used by program personnel, and

    finally, (d) the expectation that including a social

    scientist on a program will provide a magic bullet to

    fix all the problems (Williams et al., 2002). Contribu-tions of trained social scientists were clearly identified in

    less than half of the publications reviewed for this paper

    (although we recognize that this might be a conservative

    estimate). Whether the issue is that social scientists are

    doing the work and not clearly identifying themselves or

    their disciplinary background or whether they truly have

    not been involved in conducting the behavioral research,

    people from other disciplines appear to be taking the

    lead in behavioral research related to malaria. One of

    the consequences of having non-social scientists conduct

    social science research is that those responsible for the

    research often have limited or no training in social

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    science theory and methodology and, as mentioned

    earlier, this can lead to poor-quality research. In

    addition, attention to the complex array of factors that

    influence the promotion, acceptability, and sustainabil-

    ity of malaria-control activities in its widest sense

    requires a level of methodological training that most

    non-social scientists lack. This, in turn, may help toperpetuate a perception that social science has little to

    offer malaria control.

    On the other hand, the reality for most national

    malaria-control programs is that there are insufficient

    funds to support a full-time social scientist or even to

    occasionally commission a short-term social science

    consultant. Moreover, programme personnel may not

    recognize the specific expertise that social scientists can

    offer to a malaria-control programme. Malaria-control

    personnel may have a difficult time identifying social

    science issues or research questions pertinent to their

    particular program and are often unclear if specificexpertise is required or if a short course in qualitative

    data collection and analysis is sufficient qualification for

    a task or project.

    Social scientists should work jointly at the country

    level with malaria-control programs to increase qualita-

    tive skills (particularly in relationship to qualitative data

    analysis) for non-social scientists, and to develop an

    understanding of issues or research questions that can be

    addressed by non-social scientists who have received

    some level of beginning training in social science versus

    situations in which the expertise of fully trained social

    scientists is needed. In addition, social scientists involved

    in malaria research and control should be aware of

    programmatic concerns, for which they could offer

    assistance. They should work with program personnel,

    not only to help identify their needs, but also to

    present research results in such a way that the find-

    ings are understandable, practical, and useful to

    malaria-control programs, public health personnel and

    communities.

    Effective use of social science?

    From the results of this review, it appears that, to

    increase the effective use of social science in malariacontrol, social scientists should focus on four principal

    issues: (a) a new orientation for field research (and

    increased rigor in methods), (b) addressing gaps in

    research knowledge, (c) strengthening the relationship

    between research, policy and practice, and (d) capacity

    strengthening and advocacy.

    New orientation for fieldwork

    The primacy of context in understanding behaviors

    has been described and we now need to move beyond

    research that focuses on documenting behaviors (at

    individual, community, health facility or governmental

    level) into examining the larger contexts in which those

    behaviors operate, investigating the relative weights of

    factors influencing behavior within specific contexts

    (Heggenhougen et al., 2003). This type of research

    requires a different orientation than has been customary

    in the social science components of many malaria

    research projects, which have traditionally allottedminimal amounts of time for fieldwork, with the

    expectation that tremendous amounts of useful data

    could be gathered during that time (Heggenhougen et al.,

    2003). Answering the more compelling questions con-

    fronting malaria-control programmes now (such as how

    changes in subsistence patterns impact on power

    relationships and the ability to seek care or decision

    making and treatment seeking within the household)

    involves proper ethnographic fieldwork. Such fieldwork

    requires significantly more than a brief 2-week field trip.

    Moreover, rather than being an addedon component

    after a study has been designed and funded, socialscientists should be contributing to the conceptualiza-

    tion and design of the study from the beginning,

    thus assuring that adequate time and funding are

    requested.

    New areas for research

    As we have corroborated McCombies findings (1996)

    and increased our understanding about treatment-

    seeking behaviors, we have also recognized additional

    areas that impact on the home management of malaria

    and need research attention. For example, an area that

    needs further exploration is in examining the array offactors that influence provider behaviors in regard to

    dispensing drugs. Much of the recent attention on

    community and home management focuses on the

    mother/care giver in terms of drug administration.7

    While this is a critical component for understanding

    drug use, it will not provide other essential informa-

    tionthat of the providers behavior. Other areas in

    malaria home management that have received limited

    research attention from social scientists include: (a)

    quantifying drug intake (both at the home and with

    prescriptions given from a health-care facility); (b)

    investigating treatment-seeking behaviors in areas oflow endemicity and epidemic prone areas; (c) identifying

    socially vulnerable populations, such as pregnant

    ARTICLE IN PRESS

    7There is a vast body of literature on drug-utilization

    behaviors that is beyond the scope of this paper. Much of this

    literature has an application wider than malaria control. For

    readers interested in these issues, we refer them to a special issue

    of Social Science and Medicine 42(8), 1996, which focuses on

    the Inappropriate Distribution of Medicines by Professionals

    in Developing Countries, and the Proceedings of the Workshop

    on People and Medicines in East Africa, Mbale, Uganda,

    November 1620, 1998, published by the Danish Bilharziasis

    Laboratory, 2000.

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    adolescent girls who are often a difficult population to

    reach, have low social status and higher rates of

    illiteracy (DAlessandro, 1999), or groups that are

    barred from accessing malaria control activities due to

    political constraints; (d) expanding on what is known

    about social determinants of treatment-seeking beha-

    viors during pregnancy, including willingness and abilityto engage in preventive and treatment activities and how

    this is affected by household structure and concepts of

    vulnerability and protection for mother and fetus; and

    (e) examining treatment-seeking behaviors during com-

    plex emergencies.

    Research, policy & practice

    In addition to developing a new orientation in

    fieldwork and undertaking research in new areas, social

    scientists working in public health (particularly applied

    anthropologists) are in an ideal position to play a majorrole in getting research results applied to policy and

    policy into practice. Researchers need to place their

    findings within the broader context, which requires an

    understanding of how knowledge is used locally (Brugha

    & Zwi, 1998). For this understanding to occur, social

    scientists need to be committed to examining the

    complex set of inter-relationships among stakeholders

    that impact on the wider political and policy issues

    surrounding malaria control in general. It is then

    incumbent upon social scientists to interpret these

    results to implementers and policy makers in a language

    that is usable in programmatic ways (DAlessandro,

    1999; Robb, 1999). Shretta, Omumbo, Rapuoda, and

    Snow (2000) recently attempted to do this with an

    analysis of the recent antimalarial drug policy change in

    Kenya. In association with two evaluations of combina-

    tion antimalarial therapy (Interdisciplinary Monitoring

    Programme for Antimalarial Combination Therapy in

    Tanzania (IMPACT-TZ) and the South East Africa

    Combination Antimalarial Therapy Evaluation (SEA-

    CAT), one of the authors of this review (Williams) is

    currently engaged in conducting multi-disciplinary case

    studies of changes in national malaria-treatment guide-

    lines (Durreheim, et al., in press; Williams & Trupin,

    2002). This work should provide information about theprocess of decision-making as it relates to national

    policy changes and should help to inform the process for

    subsequent policy changes. Moreover, attention needs to

    be placed on what happens once guidelines are

    changedhow do providers actually implement treat-

    ment guidelines in practice? An important area of social

    science inquiry that has not been adequately developed

    is examining the factors influencing the development