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http://brn.sagepub.com/Biological Research For Nursing
http://brn.sagepub.com/content/14/3/277The online version of this article can be found at:
DOI: 10.1177/1099800411413259
2012 14: 277 originally published online 27 June 2011Biol Res NursYen-Ju Lin, Kuo-Cheng Lu, Ching-Min Chen and Chia-Chi Chang
HemodialysisThe Effects of Music as Therapy on the Overall Well-Being of Elderly Patients on Maintenance
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The Effects of Music as Therapy on theOverall Well-Being of Elderly Patients onMaintenance Hemodialysis
Yen-Ju Lin, RN1, Kuo-Cheng Lu, MD2,3, Ching-Min Chen, RN, DNS4, and
Chia-Chi Chang, RN, PhD5
Abstract
In this study, the authors explored the use of music during hemodialysis (HD) as a complementary therapy to improve overallwell-being in elderly patients. The authors recruited a convenience sample of 88 patients on maintenance HD from a teachinghospital in northern Taiwan and randomly assigned them to either an experimental group (n 44) or a control group (n 44). In the first week, participants in the experimental group created their own music playlists. During the second week, theseparticipants listened to music from their own playlists during each HD session (three times/week). The authors evaluated the
effects of music as therapy by assessing its impact on perceived stressors and adverse reactions during HD (HD Adverse Reac-tions Self-Assessment Scale and HD Stressor Scale [HSS]) and measuring changes in physiological indices during the course of themusic listening. After 1 week of the use of music as therapy during HD, the authors noted significant reductions in the frequency
and severity of adverse reactions during dialysis and in scores on the HSS, p < .001. The authors also observed significantlydecreased respiratory rate and significantly increased finger temperature and oxygen saturation, p < .001, during the same period.In conclusion, listening to music during HD may promote overall patient well-being. It may thus serve as a complementary form oftherapy that facilitates care and delivery of adequate dialysis and thus improves overall patient well-being in the long run.
Keywords
music, hemodialysis, adverse reactions, end-stage renal disease (ESRD)
Taiwan currently holds the dubious honor of having the highest
incidence and prevalence of chronic kidney disease requiringlong-term hemodialysis (HD) worldwide (United States Renal
Data System, 2010). Of these end-stage renal disease (ESRD)
patients on HD, 44.65% are over 65 years of age (Taiwan
Bureau of National Health Insurance, 2011). Older patients
often have multiple comorbidities and are more likely to
experience greater degrees of physical and psychological func-
tional decline. Elderly patients are also more likely to develop
adverse reactions during HD, such as hypotension, muscle
cramping, nausea, vomiting, headache, and chest pain (Tan
& Yang, 2005). HD treatment is thus often a source of stress
and anxiety for these patients; they are more inclined than
younger patients to ask for earlier termination of treatment or
to skip scheduled HD treatments altogether, frequently com-promising the adequacy of dialysis therapy.
Management of adverse reactions during HD usually only
provides symptomatic relief and cannot fully prevent patients
from having recurrent reactions during subsequent HD ses-
sions. Current recommended strategies to manage and prevent
these adverse reactions may have unintended consequences as
well. Thus, alleviating the physical discomfort and emotional
distress, these patients experience remains a major concern in
clinical practice.
Previous studies have shown that unique characteristics in
the melody and rhythm of certain types of music can relievestress and help receptive patients relax, with investigators
observing lower levels of blood pressure (BP) as well as
decreased respiratory and basal metabolic rates in these
patients (Glynn, 1986; Kemper & Danhauer, 2005). Research-
ers and clinicians have used music therapy for the treatment of
stress and depression, as well as for sleep induction, pain alle-
viation, muscle relaxation, and attempts to enhance immune
function against infection (Burns, Harbuz, Hucklebridge, &
1 Dialysis Center, Department of Nursing, Cardinal Tien Hospital, New Taipei
City, Taiwan, Republic of China2
School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan,Republic of China3 Division of Nephrology, Cardinal Tien Hospital, New Taipei City, Taiwan,
Republic of China4 Department of Nursing, College of Medicine, National Cheng-Kung
University, Tainan, Taiwan, Republic of China5 School of Geriatric Nursing and Care Management, College of Nursing, Taipei
Medical University, Taipei, Taiwan, Republic of China
Corresponding Author:
Chia-Chi Chang, No. 250, Wu-Xing St. Taipei 110, Taiwan, Republic of China
Email: [email protected]
Biological Research for Nursing14(3) 277-285 The Author(s) 2012Reprints and permission:sagepub.com/journalsPermissions.nav
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Bunt, 2001; Chang & Sung, 2005). Music therapy may also
serve as a distraction for patients and decrease awareness of the
passage of time during HD sessions, which may improve
treatment outcomes.
We hypothesized that listening to music during HD would
decrease the level of anxiety and stress that many older patients
experience during these sessions, thus facilitating patient adjust-
ment to and acceptance of HD treatment. In the present study,
we explored the effects of music therapy on the incidence and
severity of adverse reactions during HD treatment and
measured changes in biophysical parameters during treatment.
Background
Factors Associated With Adverse Reactions During HDSessions
The adverse reactions patients most commonly experience
during HD are hypotension (2550%), muscle spasm (520%),
nausea and vomiting (515%), headache (5%), chest pain(25%), back pain (25%), pruritus (5%), fever and chills (1%;
M. S. Wu, 2007). Though there are current recommended
guidelines for the prevention and management of these adverse
reactions, elderly patients with ESRD often have comorbidities
such as cardiovascular disease and autonomic dysfunction which
limit their ability to cope with physiological stressors and main-
tain hemodynamic stability during the HD procedure (Li, Jiang,
& Xu, 2008). Elderly diabetic patients with ESRD, who comprise
the largest group of patients on long-term HD, are particularly at
risk and have significantly higher morbidity and mortality rates
(Wang, 2007). Thus, effective prevention and management of
these potentially life-threatening adverse reactions are needed
to improve patient safety and well-being (Sulowicz & Radzis-
zewski, 2007), as well as to improve adherence to therapy.
The Physiological, Psychological, Social, and Spiritual
Aspects of Music Therapy
Music is perceived by the cochlear nerve, which subsequently
transmits neural signals to the cortex, activating the limbic sys-
tem. The limbic system then relays signals to the pituitary
gland, which releases endorphins that possess analgesic proper-
ties, thus causing decreased perception of pain signals (Beck,
1991). Music also has the ability to decrease pressure-
dependent adrenocorticotropic hormone (ACTH) stimulationand cortisol release, resulting in decreased catecholamine
secretion from the adrenal medulla. The consequent changes
in BP, heart rate, respiratory rate, temperature, and serum free
fatty acids have beneficial effects on the cardiovascular,
respiratory, musculoskeletal, and nervous systems as well as
the bodys metabolism, such as the alleviation of migraine
headache and hypertension and easing of muscle tension, and
may lower the risks associated with coronary heart disease and
stroke (Cook, 1986; Mockel et al., 1994). Research has also
shown that music increases the rhythmicity of alpha brain
waves, which is associated with improvements in memory and
creativity during conscious meditation (Wang, 2002).
In addition, investigators have reported that music therapy
makes receptive individuals feel a sense of peace and comfort,
eliminating negative, hostile, and anxious thoughts and
increasing motivation (Beck, 1991; Brown, Martinez, & Par-
sons, 2004; Prinsley, 1986). Menon and Levitin (2005) demon-
strated that listening to music regularly increases dopamine
release, producing positive thoughts, and a sense of well-
being. Other researchers have shown that music therapy pro-
motes social interactions, reducing avoidance behavior and
increasing the chance of participation in social organizations
(Prinsley, 1986; Wang, Yeh, & Chang, 2003).
Principles of Implementation of Music Therapy
Gerdner (2000) and Lai (2004) found that, prior to the imple-
mentation of music therapy, researchers or clinicians must ade-
quately assess patients personal background and information
regarding their preferences in music to maximize the potentialeffects of treatment. The characteristics of relaxing music
appropriate for music therapy include a slow tempo (60*80
crotchet beats per minute), low-to-medium pitch, low volume,
and melodious rhythms comprised mostly of wind instruments
(OSullivan, 1991). Staum and Brotons (2000) reported that
keeping the volume at 6070 dB maximizes relaxation and
reduces psychological stress. During the course of music ther-
apy, which is best conducted individually in a quiet room, the
clinicians or researchers encourage the patient to assume a
relaxed and comfortable position and listen to the music for
2045 min (Wang et al., 2003). They might also provide
patients with headphones to reduce ambient and background
noise and set playlists on automatic replay to minimize inter-ruptions during sessions and maximize treatment effects (Beck,
1991; S. Lee, Lieu, & Chen, 1999).
Effects of Music Therapy in the Clinical Setting
Researchers have studied music therapy as a complementary
treatment in a variety of medical fields. Midwives have used
music therapy to reduce stress and anxiety during labor,
increase concentration, and facilitate positive experiences for
the mother and her relatives (Chang & Chen, 2005). Richard-
son, Babiak-Vazquez, and Frenkel (2008) likewise reported
that music therapy effectively reduced pain, discomfort, and
anxiety in the palliative care of cancer patients. Hilliard(2005) showed that music therapy facilitates the building of
patient relationships with caregivers and other patients and
improves patients quality of life. Among patients with chronic
psychosis, Wang et al. (2003) demonstrated that music therapy
reduces negative symptoms associated with these chronic con-
ditions and improves social interaction and levels of interest in
patients surroundings. In pediatrics, L. Lee, Chan, Ho, Cheng,
and Su (2005) found that music therapy improves learning
motivation in autistic children, increasing cognitive and con-
versational abilities.
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Patients on HD often present with acute complaints that need
immediate attention. In maintenance HD patients, music ther-
apy has had beneficial effects on stress, anxiety, and depression.
Investigators have also noted increased blood oxygen saturation
in these patients (Kim, Lee, & Sok, 2006; Lin, Chen, Kuo,
Wang, & Huang, 2007). To date, however, there is little evi-
dence in the literature regarding the effects of music therapy
on the well-being of patients on HD, especially the elderly.
Method
Design and Setting
The Ethics Committee on Human Studies at Cardinal Tien
Hospital, Taipei, Taiwan, approved the study protocol. We
obtained written informed consent from each patient who par-
ticipated. We recruited a convenience sample of 88 HD patients
and randomly assigned them to the experimental (n 44) or
control group (n 44) by flipping a coin. Patients deemed eli-
gible for enrollment in the study were aged 60 years and over,
known to have ESRD for at least 3 months, on maintenance
HD three times every week (4 hr/per session) and able to
communicate effectively in Mandarin or Taiwanese. Patients
with severe cognitive or hearing impairments and those with
pacemakers were excluded from this study.
In the first week, patients in the experimental group selected
and created their own music playlists. During the second week,
the experimental group listened to music from their own play-
list during each HD session (three times/week). We evaluated
the effects of the music therapy by assessing its impact on stres-
sors and adverse reactions during HD (HD Adverse Reactions
Self-Assessment Scale and HD Stressor Scale [HSS]) and mea-
suring changes in physiological indices during the course of thetreatment (Figure 1). We checked the physiological indices
every 30 min for the entire HD treatment and averaged data
from eight time points (30, 60, 90, 120, 150, 180, 210, and
240 min after HD initiation) to obtain the postintervention mea-
sures for each patient.
InstrumentsDemographic data. To account for possible confounding fac-
tors during analysis, we recorded and controlled for the
A subject is deemed eligible for enrollment
and qualified based on sample criteria
Subjects are randomly assigned to experimental
or control group by coin flip
Informed consent is secured for enrollment in study
Experimental group Control group
Pretest data collection:
First HD session, Week 1: Demographics
Sheet and HSS.
Last HD session, Week 1:
- During HD: physiological monitoring
- After HD: HD Adverse Reactions Self-
Assessment Scale and music selection.
Pretest data collection:
First HD session, Week 1: Demographics
Sheet and HSS.
Last HD session, Week 1:
- During dialysis: physiological monitoring
- After HD: HD Adverse Reactions Self-
Assessment Scale
Regular clinical care with music therapy Regular clinical care only
Posttest data collection:
Last HD session, end of week 2:
- During dialysis: physiological monitoring
- After HD: HD Adverse Reactions Self-
Assessment Scale and HSS
Posttest data collection:
Last HD session, end of week 2:
- During dialysis: physiological monitoring
- After HD: HD Adverse Reactions Self-
Assessment Scale and HSS
Data processing and analysis
Figure 1. Data-collection process. Note. HD
hemodialysis; HSS
HD Stressor Scale. Coin flip results: subjects on Mon-Wed-Fri HDschedule were assigned to the experimental group; subjects on Tue-Thu-Sat HD schedule were assigned to the control group.
Lin et al. 279
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following demographic data: age, sex, education level, marital
status, time on HD, comorbidities, and musical preferences.
Hemodialysis Adverse Reactions Self-Assessment Scale. Adapted
from relevant literature and clinical nursing management expe-
rience, the self-assessment scale contained 17 common adverse
reactions that may occur during HD (Tan & Yang, 2005;
Tanimu et al., 2000; M. S. Wu, 2007). We used 4-point
Likert-type scales to quantify symptom frequency (0 none,
1 once or twice, 2 35 times, and 3 more than 5 times)
and severity (1 only mildly ill, 2 moderately ill, 3 seri-
ously ill, and 4 extremely ill). Frequency scores ranged
between 0 and 51, with higher scores indicating a higher fre-
quency. Severity scores ranged between 17 and 68, with higher
scores likewise representing a greater severity. Cronbachs a of
the scale was .662 and coefficient of variation (CVI) was .91.
Hemodialysis Stressor Scale. The HSS (Chou, 2002) is a 32-
item scale used to rate the incidence and severity of stressors
associated with HD. Subjects rated the extent of being troubledby each of the 32 stressors using a 4-point scale (0 not at all,
1 slightly, 2 moderately, and 3 a great deal). We
obtained a subtotal score for each construct by summing the
ratings for each; the higher the score, the greater the stress.
We used the HSS for both longer-term recall (i.e., 12 months
prior to study) and more immediate recall (during the Week 2
of the study period). Cronbachs a of this scale was .905 in the
current study.
Physiological indicators. We used a biological monitoring sys-
tem (GE Medical Systems Information Technologies, Inc.,
Milwaukee, WI) to monitor and record data regarding BP, heart
rate, respiratory rate, and oxygen saturation. The Departmentof Health, Executive Yuan and the Bureau of Standards
(2010), Metrology and Inspection approved this system. A cer-
tified engineer made any necessary adjustments.
When individuals are in a state of relaxation, parasympathetic
effects are enhanced, leading to capillary expansion and an
increase in the surface temperature of the fingers. Investigators
can measure this physiological change and use it as an indicator
of emotional state (P. H. Chen, 2003; Kistler,Mariauzouls,& von
Berlepsch, 1998). For the current study, we measured finger
surface temperature using the TEMPviewTemperature Feedback
Monitor,with an accuracy within 0.1 C (TM-903A, Ronmac Int.
Corp, Taipei, Taiwan, manufactured in 2009).
Intervention
In the first week, we encouraged participants in the experimen-
tal group to choose their favorite musical styles by listening to
the first 30 s of each of the songs on the complete playlist with 5
s intervals between songs. There were three songs to choose
from in each music category and participants had free rein to
select and eliminate songs and music categories to create their
own personal playlists, which we then recorded for each
participant. All available selections were melodic instrumental
music with a tempo of 6080 beats per min.
During the second week, participants in the experimental
group received music as therapy during every HD session.
They wore earphones to eliminate background noise and
selected music from their own playlists. Participants could lis-
ten to music for the first 20 min of every hour for the first 3 hr
of HD. For the fourth hour, we asked participants to listen to
music during the last 20 min of HD treatment. We did not pro-
vide the control group with any music at all during HD.
Statistical Analysis
We express continuous variables as means + SD and catego-
rical values as percentages. We tested normal distribution of
samples using the KolmogorovSmirnov test and performed
comparisons between groups using Students t test or Mann
Whitney U test (according to data characteristics). We used
Fishers exact test or chi-square analysis to analyze categorical
data, Wilcoxons signed ranks test to analyze the differences
between pretest and posttest in the experimental group, and
Spearman rank correlation coefficient test to examine the cor-
relations between age, the habit of listening to music, and other
indices. We consider a p value < .05 to be statistically signifi-
cant. We used the Statistical Package for the Social Sciences
(SPSS/PC, SPSS, Inc., Chicago, IL) for our statistical analyses.
Results
Baseline Data and Physiological Parameters
We cross-referenced patient demographic data with currently
available nationwide research data (Chang, 2005; L. H. Lee,2003; Sung, Chang, & Abbey, 2006). We found no statistically
significant differences between the experimental and control
groups with regard to sex, level of education, marital status,
religion, annual income, living arrangement, length of time
on HD and duration of each session, average frequency and
severity of adverse reactions, HSS scores during HD, or phy-
siological indices (Table 1). The experimental group had a
lower mean age (69.11 + 7.88 versus 75.55 + 9.16, p
.001) and its members were more likely to have a habit of lis-
tening to music (w2 19.17, p < .001) compared to the control
group.
Since we noted significant differences between the two
groups with respect to age and the habit of listening to music,we used the Spearmans rank correlation coefficient to analyze
the relationships between these two demographic variables and
the physiological parameters in all the patients (Table 2). We
found a negative correlation between age and diastolic BP (r
.332, p .002), which might be due to the decreased elas-
ticity and compliance of arteries that occurs with age (M. F.
Chen, 2009). We found no statistically significant correlation
between the habit of listening to music and any of the physio-
logical parameters or with respect to sources of stress and the
frequency and severity of adverse reactions during HD.
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Analysis of Variables Before and After Music Therapy
The frequency and severity of adverse reactions as well as scores
on the HSS decreased significantly after three sessions (1 week)
of music as therapy (see Table 3). Respiratory rate and finger
temperature also significantly decreased, and oxygen saturation
significantly increased. We found no significant differences with
respect to heart rate, systolic and diastolic BP (DBP), including
the percentage of systolic BP (SBP) below 100 mmHg.
Table 1. Demographic and Baseline Variables of the Two Groups (N 88)
Variable Experimental (n 44) Control (n 44) p
Age 69.11 + 7.881 75.55 + 9.156 .001a**SexFemale 22 (50) 29 (65.9) .131b
Educational level .389c
Uneducated (illiterate) 7 (15.9) 13 (29.5)
Elementary school 19 (43.2) 18 (40.9)Junior high school 6 (13.6) 7 (15.9)High school 6 (13.6) 4 (9.1)College, university, and above 6 (13.6) 2 (4.5)
Marital status .113c
Single 3 (6.8) 2 (4.5)Married 28 (63.6) 18 (40.9)Divorced 0 1 (2.3)Separated 0 1 (2.3)Widowed 13 (29.5) 22 (50.0)
Religion .588c
None 2 (4.5) 4 (9.1)Chinese traditional religion 38 (86.4) 37 (84.1)Christianity 4 (9.1) 2 (4.5)Catholicism 0 1 (2.3)
Annual income .300c
Insufficient 5 (11.4) 10 (22.7)Enough 23 (52.3) 24 (54.5)Good 12 (27.3) 6 (13.6)Very good 4 (9.1) 4 (9.1)
Lives with familyNo 5 (11.4) 7 (15.9) .379b
Length of time on hemodialysis (years) 6.80 + 5.290 4.42 + 3.584 .054a
Duration of hemodialysis sessions .183c
< 4 hr 2 (4.5) 4 (9.1)4 hr 39 (88.6) 40 (90.9)> 4 hr 3 (6.8) 0
Number of other chronic diseases .461c
0 6 (13.6) 1 (2.3)1 7 (16.0) 13 (29.5)
2 21 (47.7) 21 (47.7) 3 10 (22.7) 9 (20.5)
Habit of listening to musicNo 17 (38.6) 37 (84.1) .000b***Frequency of adverse reactions score 2.36 + 2.934 1.93 + 2.491 .415a
Severity of adverse reactions score 2.45 + 3.605 1.77 + 2.144 .505a
Hemodialysis Stressor Scale score 27.00 + 17.032 28.18 + 15.919 .573a
SBP (mmHg) 134.60 + 18.992 133.66 + 18.570 .815a
DBP (mmHg) 70.05 + 9.665 66.26 + 9.492 .081a
% of SBP < 100 mmHg 5.52 + 11.2 7.79 + 17.82 .952a
Heart rate (beats/min) 71.59 + 15.345 71.50 + 10.582 .611a
Respiratory rate (breaths/min) 18.52 + 1.944 18.87 + 1.903 .537a
Finger temperature (C) 31.85 + 1.912 31.31 + 1.988 .163a
Oxygen saturation (%) 98.43 + 1.022 98.16 + 0.938 .125a
Note. Continuous variables are expressed as mean + SD; categorical variables are expressed as n (%).
DBP diastolic blood pressure; SBP systolic blood pressure.a Chi-square test.b Fishers exact test.c MannWhitney U test.** p < .01.*** p < .001.
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Comparison of Change in Variables After Music
Therapy Between the Two Groups
The incidence and severity of adverse reactions as well as
scores on the HSS significantly decreased after 1 week of
music therapy compared to the control group (see Table 4).
Subsequent analysis of the 32 items in the HSS showed signif-
icant alleviation of stress after music therapy with regard to
nine stressors: poor/inadequate A-V fistula function, itch-
ing, hypotension, loss of bodily function, limitation
of activity, sleep disturbances, coping with family
responsibilities, vacation limitations, and frequency of
hospitalizations. Respiratory rate decreased significantly and
oxygen saturation increased significantly in the experimental
group compared to the control group after 1 week of music
therapy.
Discussion
The Effects of Music as Therapy in Reducing theFrequency and Severity of Adverse Reactions During HD
Our results show significantly reduced frequency and severity
of adverse reactions after music therapy in the experimental
group compared to the control group. Pothoulaki et al. (2008)found that music therapy attenuated the perception of pain in
patients undergoing HD. Investigators have also observed
improved BP control, reduced respiratory rate, muscle rel-
axation, and alleviation of nausea and vomiting after music
therapy (Beck, 1991; Brown et al., 2004; Cook, 1986; Menon
& Levitin, 2005). Thus, music therapy may help improve
patient compliance with HD treatment and promote adequacy
of dialysis, especially among elderly patients, who are more
likely to both experience adverse reactions during HD and to
ask to discontinue treatment because of them (Inrig, 2010).
Listening to Music and Sources of Stress
Our results also show that music therapy can mitigate the
effects of stress in HD patients. These results are consistent
with the results of Giedts (1999) study, which evaluated the
psychoneuroimmunological effects of guided imagery, and Lin
et al.s (2007) observations regarding the effects of music ther-
apy on anxiety and stress.We compared participants scores on the HSS measuring the
level of stress related to HD in the 12 months prior to the study
to their scores after the 2-week study period and noted a signif-
icant attenuation of stress. In particular, we observed significant
improvement in 9 items on the scale, as described in Results,
above, which implies that some stressors may be amenable to
treatment with short-term music therapy, while other sources
of stress may require a longer period of intervention.
Music therapy may create a sense of comfort by gradually
eliciting hormonal and physiological changes and indirectly
influencing emotional states. Music may also eliminate nega-
tive emotions, stimulate motivation, and decrease levels of
anxiety and hostility (Beck, 1991; Brown et al., 2004; Cook,1986; Menon & Levitin, 2005). Since stress may be due to a
chronic accumulation of negative feelings, music therapy may
help mitigate stress by allowing patients to focus less on their
problems or physical discomforts and decreasing their aware-
ness of time; thus helping patients to relax and facilitate effec-
tive delivery of treatment during HD.
Effects of Music Therapy on Physiological Indicators
Several studies have observed reduced respiratory rates in
patients receiving music therapy (Chan, Chan, Mok, & Kwan
Tse, 2009; Glynn, 1986; Lai, 2004). Chlan (1998) observed thatheart rate, in patients receptive to music, slowed down and syn-
chronized with the tempo of the music. These patients reported
a reduced sense of anxiety. Thus, patients listening to music
during HD treatment may be more able to relax and, thus, help
to reduce rapid respiratory and heart rates.
Our results showed significantly increased oxygen satura-
tion in the experimental group. As the sympathetic nervous sys-
tem becomes less active with relaxation, respiratory and basal
metabolic rates decrease and oxygen saturation levels increase
(Kemper & Danhauer, 2005; C. C. Wu, 1994). We also
observed a significant increase in finger temperature in patients
after music therapy (Table 3), which is consistent with results
from previous studies (Hwang, Chang, Lee, Ko, & Chu,1996; Lai, 2004; D. F. Lee & Hwang, 1997). In a state of calm
and relaxation, a change in finger temperature is mediated by a
reduction in autonomic nervous system activity and reduced
muscle tension, which leads to expansion of superficial capil-
laries and greater blood flow (P. H. Chen, 2003). In a study
of the effects of music therapy on 60 patients on HD, Lin
et al. (2007) also observed a slight increase in the subjects
body temperature. However, the sample size was quite small
(effect size 0.68, power < 0.9) and their results were not sta-
tistically significant.
Table 2. Correlations Between Age and the Habit of Listening toMusic and Physiological and Hemodialysis-Related Variables (n 88)
Variable AgeHabit of Listening to
Music
Frequency of adverse reactionsScore
.055 .155
Severity of adverse reactionsScore
.001 .136
Hemodialysis Stressor ScaleScore
.167 .034
Systolic blood pressure (mmHg) .150 .104Diastolic blood pressure (mmHg) .332** .154Heart rate (beats/min) .020 .087Respiratory rate (breaths/min) .208 .069Finger temperature (C) .047 .077Oxygen saturation (%) .121 .178
Note. Spearmans rank correlation coefficient analysis was used to determinecorrelations.** p < .01.
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The HD procedure constitutes an extracorporeal circulation,
which can often lead to hemodynamic instability in elderly
patients. The most common reaction is an activation of the
autonomic nervous system, which increases the heart rate and
causes peripheral vasoconstriction (M. S. Wu, 2007). During
HD, a patient who experiences a 25% decline in BP or greater
from previous readings needs immediate intervention to pre-
vent the development of excessive hypotension and more seri-
ous complications (Prakash, Garg, Heidenheim, & House,
2004). Thus, though we observed no significant differences
in heart rate, SBP, DBP, or the percentage of SBP less than100 mmHg, we cannot exclude the possibility of effects of
music therapy on autonomic nervous system activity.
Limitations
We did not assess plasma hormone levels in the present study.
Measurement of levels of cortisol or other hormones in blood or
saliva as an additional indicator of stress may be a future research
goal. Monitoring of heart rate variability (HRV) may also be a
reliable method of detecting autonomic dysfunction, which is a
frequent problem in HD patients (Schubert, Palazzolo, Brum,
Ribeiro, & Tan, 1997). Thus, measurement of HRV, which
involves a relatively simple and noninvasive method, could be
used to monitor physiological changes during music therapy in
future studies.
Conclusions
Providing music during HD may be an effective complemen-
tary therapy to improve overall patient well-being. Since music
therapy alleviates the frequency and severity of adverse reac-tions associated with HD, improves physiological parameters,
and reduces patient stress and anxiety, it may increase patient
adherence to therapy and promote adequacy of dialysis. The
use of music as therapy during HD may also facilitate patient
care by allowing patients to participate in their own health care
and help create a more harmonious relationship between
patient and caregivers.
Though it is not in widespread use among nurses at this
time, the provision of music therapy as a clinical treatment tool
could provide further avenues for nursing care in the future.
Table 3. Mean + SD for Variables Before and After Music Therapy in the Experimental Group (n 44)
Variable Before Therapy After Therapy p
Frequency of adverse reactions score 2.36 + 2.934 0.59 + 1.263 .000***Severity of adverse reactions score 2.45 + 3.605 0.55 + 1.247 .000***Hemodialysis Stressor Scale Score 27.00 + 17.032 21.11 + 15.680 .000***SBP (mmHg) 134.60 + 18.992 131.83 + 18.229 .137
DBP (mmHg) 70.05 + 9.665 68.78 + 8.810 .178% SBP < 100mmHg 5.52 + 11.2 3.25 + 8.072 .106Heart rate (beats/min) 71.59 + 15.345 71.51 + 13.458 .566Respiratory rate (breaths/min) 18.52 + 1.944 16.08 + 1.552 .000***Finger temperature (C) 31.85 + 1.912 32.38 + 1.485 .008**Oxygen saturation (%) 98.43 + 1.022 99.27 + 0.685 .000***
Note. Wilcoxons signed ranks test was used for analysis.DBP diastolic blood pressure; SBP systolic blood pressure.** p < .01.*** p < .001.
Table 4. Comparison of Changes in Variables From Premusic to Postmusic Therapy Between the Two Groups (n 88)
Variable Experimental Group (n 44) Control Group (n 44) p
Frequency of adverse reactions score 1.77 + 2.281 0.14 + 3.739 .000***Severity of adverse reactions score 1.91 + 2.675 0.32 + 2.924 .000***Hemodialysis Stressor Scale Score 5.89 + 4.785 1.59 + 7.212 .000***SBP 2.77 + 12.865 0.38 + 14.391 .282DBP 1.26 + 6.212 0.28 + 5.18 .234% SBP < 100 mmHg 2.27 + 9.214 0.65 + 13.413 .362Heart rate (beats/min) 0.08 + 7.514 1.18 + 5.668 .187Respiratory rate (breaths/min) 2.44 + 1.435 0.08 + 1.579 .000***Finger temperature (C) 0.53 + 1.573 0.31 + 1.32 .280Oxygen saturation (%) 0.83 + 0.802 0.08 + 0.843 .000***
Note. Data are described as mean + SD. The MannWhitney U test was used for this analysis.DBP diastolic blood pressure; SBP systolic blood pressure.*** p < .001.
Lin et al. 283
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Findings from the current and prior research indicate that HD
patients could likely benefit from the clinical use of music ther-
apy. Further research into the benefits of music therapy will
likely reveal additional applications and provide an increased
understanding of the mechanisms at work.
Authors NoteThe authors Yen-Ju Lin and Kuo-Cheng Lu contributed equally to this
work.
Acknowledgments
The authors would like to thank all participants for their assistance in
conducting this research. The authors are also grateful for grants from
the National Science Council, Taiwan R.O.C. and Cardinal Tien
Hospital.
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to
the research, authorship, and/or publication of this article.
Funding
The authors disclosed receipt of the following financial support for the
research, authorship, and/or publication of this article: This work was
partly supported by grants from the National Science Council
(NSC 97-2314-B-038-017-MY2) and Cardinal Tien Hospital (CTH-
99-1-2A02).
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