to search is to believe? a comparative study of health information use by internet users

5
To Search is to Believe? A Comparative Study of Health Information Use by Internet Users Authors Chang Liu Rutgers University 4 Huntington Street, New Brunswick, NJ, 08854 Email: [email protected] Ying-Hsang Liu Rutgers University 4 Huntington Street, New Brunswick, NJ, 08854 Email: [email protected] Tao Xu University at Albany, State University of New York 135 Western Avenue, Albany, NY, 12203 Email: [email protected] This study was designed to characterize health information seekers on the Internet using relatively large-scale survey data. The primary goals are to (1) ascertain whether the information seekers' credibility assessment of online health information varies by levels of Web searching activities, and (2) identify specific impacts of online health information on decision-making. Using a national survey by Pew Internet & American Life Project (2006) (N = 2,928), we conducted TwoStep cluster analysis focusing on the health-related topics. We successfully identified and labeled the two clusters of health information users as 'active' and 'less active' users. The data suggests that active users were more likely to evaluate the credibility of online health information resources than less active users; types of users did not make a difference in searches on behalf of others. More importantly, between active and less active users online health information had strong impacts on three specific aspects of decision-making: (1) the treatment on an illness or condition, (2) the overall approach and (3) asking new questions. The results advance our understanding of users' credibility assessment of online health information sources. Given these findings we provide avenues for future research.

Upload: chang-liu

Post on 15-Jun-2016

213 views

Category:

Documents


1 download

TRANSCRIPT

To Search is to Believe? A Comparative Study of Health Information Use by Internet Users

Authors

Chang Liu

Rutgers University

4 Huntington Street, New Brunswick, NJ, 08854

Email: [email protected]

Ying-Hsang Liu

Rutgers University

4 Huntington Street, New Brunswick, NJ, 08854

Email: [email protected]

Tao Xu

University at Albany, State University of New York

135 Western Avenue, Albany, NY, 12203

Email: [email protected]

This study was designed to characterize health information seekers on the Internet using

relatively large-scale survey data. The primary goals are to (1) ascertain whether the information

seekers' credibility assessment of online health information varies by levels of Web searching

activities, and (2) identify specific impacts of online health information on decision-making. Using

a national survey by Pew Internet & American Life Project (2006) (N = 2,928), we conducted

TwoStep cluster analysis focusing on the health-related topics. We successfully identified and

labeled the two clusters of health information users as 'active' and 'less active' users. The data

suggests that active users were more likely to evaluate the credibility of online health information

resources than less active users; types of users did not make a difference in searches on behalf

of others. More importantly, between active and less active users online health information had

strong impacts on three specific aspects of decision-making: (1) the treatment on an illness or

condition, (2) the overall approach and (3) asking new questions. The results advance our

understanding of users' credibility assessment of online health information sources. Given these

findings we provide avenues for future research.

Introduction

The Internet has become a prevalent source for people to obtain health information (Fox, 2006;

Johnson, et al. 2006). From perspectives of consumer health information, one of the common

themes emerging from studies of health information seeking is the importance of taking into

account the larger environmental and role-related contexts (e.g., Dey, 2004). For instance, user

characteristics, such as self-reported health status, have been examined in relation to

information environment (Goldner, 2006; Nicholas, 2001) and user perceptions about

information resources (Navarro & Wilkins, 2001; Rrains, 2007). For the health information

seekers, Lorence and Park (2006) proposed to classify them according to the topics they have

searched; Navarro and Wilkin (2001) suggest that there are both 'active' and 'less active' seekers.

The issues pertaining to credibility assessment of health information on the Web have been

extensively studied, since the quality of health information is critical to the user's information

acquisition and subsequent decision-making (see e.g., Metzger, 2007; Rieh & Danielson, 2007).

Drawing from a relatively large scale national survey data (Pew Internet & American Life Project,

2006), this study was designed to (1) ascertain whether the information seekers' credibility

assessment of online health information varies by levels of Web searching activities, and (2)

identify specific impacts of online health information on decision-making.

Method

We conducted a secondary quantitative data analysis of the 2006 Health Survey Data Set (Pew

Internet & American Life Project, 2006). It consisted of a sample of 2,928 adults aged 18 and

older. A large proportion of respondents (68.0%, N = 1,990) reported that they ever went online to

access the Internet. Among the Internet users, those who have searched health information on

the Internet (N = 1,594) accounted for 80.1%. Using this dataset, we first conducted a TwoStep

cluster analysis to identify two groups of Internet health information searchers according to their

search activity, and then used Chi-square tests to compare the differences between these two

groups.

Data analysis and results

We conducted TwoStep Cluster Analysis (from SPSS, version 16.0) of the Internet users based on

the 17 types of health-related topics in the survey. Our results revealed 3 clusters: non-searchers,

active searchers and less active searchers. For purposes of this study we focused on 'active' and

'less active' searchers. Overall, there was statistically significant difference between these two

groups in terms of the number of topics they have searched. In average, active searchers

searched for about eight topics, while less active searchers searched for only two to three topics.

For both groups of searchers, information about "a specific disease or medical problem" and

about "a certain medical treatment or procedure" is the most popular topic they have searched;

and information about "how to quit smoking" and about "problems with drugs and alcohol" has

seldom been searched. This trend is consistent with results in previous studies (e.g. Lorence &

Park, 2006; Rice, 2006).

Even though Goldner (2006) found that individuals who have a medical condition are more likely

to search most health topics online than healthy individuals, we did not find significant difference

between active and less active searchers in terms of their self-reported health status (χ2 (3,

N=1585) = .110, p=.991, V=.008). In addition, most of searchers (86.6% of 'active searchers';

86.4% of 'less active searchers') rated their overall health condition as good or excellent. It

suggested that self-reported health status may not be the primary motivational factor for people's

health information seeking on the Internet, because people often search health information

because of or on behalf of others (Harbour & Chowdhury, 2007; Morey, 2007; Fisher & Julien,

2008). Our result from a comparison of the question of whom they were searching for also was

not significant (chi-square test, χ2 (2, N=1463) = 8.793, p=.012, V=.078). Similarly, we found

over half of both active (51.1%) and less active (53.5%) searchers searched for someone else.

Information credibility is about whether people believe what they find on the Web. In order to

judge the credibility, the searchers for the medical task may check the source reputation,

author/creator credentials and type of source (Rieh, 2002). We then compared the information

credibility behavior between the two groups according to whether they asserted to check the

information providers and whether they checked the date and the reviewer of the information.

The results revealed that active searchers check the information providers significantly more than

less active searchers (χ2 (4, N=1567) = 231.96, p<0.0001, V=.385), and also check the date and

the reviewer significantly more often (χ2 (4, N=1581) = 210.43, p<0.0001, V=.365). Thus, based

on Rieh's (2002) results, we can conclude that active searchers were more likely to evaluate the

credibility of online health information resources than less active searchers.

As to the perceived usefulness, significantly more active searchers (60.5%) claimed that the

information they found had major or minor impact on themselves or someone else than less

active searchers (39.5%). Especially, online health information had strong impact on three

specific aspects of decision-making of active searchers: (1) the treatment on an illness or

condition, (2) the overall approach and (3) asking new questions.

Future research

These results advance our understanding of users' credibility assessment of online health

information sources, and of reasons for success of searching. The differences between active and

less active searchers in their activities of credibility assessment and the impact of acquired

health information on decision-making suggest that interventions that encourage credibility

assessment might lead to more useful search results for less active searchers. Other

characteristics of information seekers, such as health-related domain knowledge, gender, and

motivational characteristics (see e.g., Abrahamson, 2008; Keselman, Browne & Kaufman, 2008;

Rieh & Danielson, 2007), in lieu of levels of Web searching activities, are promising avenues for

future research.

Acknowledgements

The authors would like to thank the Institute of Museum and Library Services (IMLS) for

supporting this study, and two anonymous reviewers for their comments.

References

Abrahamson, J. A., Fisher, K. E., Turner, A. G., Durrance, J. C., & Turner, T. C. (2008). Lay

information mediary behavior uncovered: Exploring how nonprofessionals seek health

information for themselves and others online. Journal of the Medical Library Association, 96(4),

310-323.

Dey, A. (2004). Consumer health informatics: An overview of patient perspectives on health

information needs. The HIM Journal, 33(4), 121-126.

Fox, S. (2006). Online health search 2006. Washington, DC: Pew Internet & American Life Project.

Retrieved February 21, 2009, from

http://www.pewinternet.org/pdfs/PIP_Online_Health_2006.pdf

Goldner, M. (2006). How health status impacts the types of information consumers seek online.

Information, Communication & Society, 9(6), 693-713.

Johnson, J. D. E., Case, D. O., Andrews, J., Allard, S. L., & Johnson, N. E. (2006). Fields and

pathways: Contrasting or complementary views of information seeking. Information Processing &

Management, 42(2), 569-582.

Johnson, J. D., Andrews, J. E., & Allard, S. (2001). A model for understanding and affecting cancer

genetics information seeking. Library & Information Science Research, 23(4), 335-349.

Keselman, A., Browne, A. C., & Kaufman, D. R. (2008). Consumer health information seeking as

hypothesis testing. Journal of the American Medical Informatics Association, 15(4), 484-495.

Metzger, M. J. (2007). Making sense of credibility on the web: Models for evaluating online

information and recommendations for future research. Journal of the American Society for

Information Science and Technology, 58(13), 2078-2091.

Moore, J. L., Erdelez, S., & Wu, H. (2007). The search experience variable in information behavior

research. Journal of the American Society for Information Science and Technology, 58(10), 1529-

1546.

Navarro, F. H., & Wilkins, S. T. (2001). A new perspective on consumer health Web use:

"valuegraphic" profiles of health information seekers. Managed Care Quarterly, 9(2), 35-43.

Nicholas, D., Huntington, P., & Williams, P. E. (2001). Digital health information provision and

health outcomes. Journal of Information Science, 27(4), 265-276.

Pew Internet & American Life Project (2006). Retrieved October 10, 2008, from

http://www.pewinternet.org/PPF/r/63/dataset_display.asp

Rains, S. A. (2007). Perceptions of traditional information sources and use of the World Wide

Web to seek health information: Findings from the health information national trends survey.

Journal of Health Communication, 12(7), 667-680.

Rieh, S. Y. (2002). Judgment of information quality and cognitive authority in the Web. Journal of

the American Society for Information Science and Technology, 53(2), 145-161.

Rieh, S. Y., & Danielson, D. R. (2007). Credibility: A multidisciplinary framework. Annual Review of

Information Science and Technology, 41, 307-364.

Wilson, T. D. (1997). Information behaviour: An interdisciplinary perspective. Information

Processing & Management, 33(4), 551-572.