Preference and Expectation for Treatment Assignment in a Randomized Controlled Trial of Once- vs Twice-weekly Yoga for Chronic Low Back Pain (original) (raw)

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Abstract

Background:

In studies involving nonpharmacological complementary and alternative medicine interventions, participant blinding is very difficult. Participant expectations may affect perceived benefit of therapy. In studies of yoga as treatment for chronic low back pain, little is known about the relationship between patient expectations and preferences on outcomes. This study was designed to identify baseline predictors of preference and to determine if expectations and preferences for different doses of yoga affect back-related function and low back pain intensity.

Methods:

This was a secondary data analysis of a 12-week randomized controlled trial comparing once-weekly vs twice-weekly yoga for treatment of chronic low back pain in 93 adults from a predominantly low-income minority population. At baseline, participants were asked about back function, back pain, treatment expectations, and treatment preferences. We created a variable “concordance” to describe the matching of participant preference to randomized treatment. Our outcome variables were change in back function and pain intensity after 12 weeks of yoga instruction. We performed logistic regression to identify predictors of preference for once- or twice-weekly yoga instruction. We created linear regression models to identify independent associations between expectations, preference, concordance, and outcomes.

Results:

Worse back function at baseline was associated with 20% higher odds of preferring twice-weekly yoga (OR 1.2, CI 1.1, 1.3). Individuals with higher expectation scores for twice-weekly yoga had 90% higher odds of preferring twice-weekly vs once-weekly yoga (OR 1.9, CI 1.3, 2.7). Individuals with higher expectation scores for once-weekly yoga had 40% less odds of preferring twice-weekly yoga (OR 0.6, CI 0.5, 0.9). After controlling for baseline characteristics, we found no statistically significant relationship between treatment outcomes, preference, expectation scores, or concordance.

Conclusion:

In a population of predominantly low-income minority participants with chronic low back pain, worse back function was associated with preference for more frequent yoga classes. Those who preferred more yoga classes had higher expectations for those classes. Twelve-week change in back pain intensity and back function were not affected by dosing preference, expectation score, or concordance. More research is needed to better measure and quantify preference, expectations, and their relationship to outcomes in yoga research.

Key Words: Yoga, low back pain, preference, expectation

BACKGROUND

Low back pain has a global lifetime prevalence of about 39%1 and is the greatest contributor to global disability.2 The economic burden of back pain is also significant. In the United States, those with spine problems spend about $86 billion more in healthcare dollars than those without spine problems.3

Concern that patient expectations can affect treatment outcomes is a large reason for participant blinding in clinical trials.4 Blinding is particularly important in trials related to subjective outcomes such as pain. Clinical studies exist that explore the relationship between patient expectations and treatment outcomes, though few have been in the field of complementary and alternative medicine (CAM).5 Within CAM, it is difficult or impossible to blind participants receiving nonpharmacological CAM interventions. Relatively few published CAM studies have addressed the association between patient expectations and outcomes.

It has been suggested that positive patient expectations regarding CAM therapies are responsible for treatment success.6 Studies have been performed examining the effect of participant expectations regarding acupuncture,7-10 massage,8 and manual therapy11,12 on outcomes for low back pain; however, these results have been inconsistent. Additionally, few studies have examined the effect of randomization into preferred treatment group vs non-preferred treatment group on outcomes for various forms of CAM.7,13 Little published data are available on the relationship between patient expectations and preferences of yoga on outcomes for low back pain. Tillbrook et al looked at yoga for chronic low back pain (cLBP) and found no association between yoga class preference and back function. However, they did not study the effect of expectations on back function or other outcomes.13

This is a secondary data analysis of a randomized controlled trial comparing once per week to twice per week yoga classes for treatment of cLBP.14 Our primary publication found that there were no statistically significant differences in pain or back-related function between once- and twice-weekly yoga classes. However, within-group analysis showed statistically significant decreases in baseline pain and back-related function at 12 weeks in both once- and twice-weekly yoga classes. The purpose of the current analysis was to identify baseline predictors of preference and to determine if expectations and preferences for once- or twice-weekly yoga affected back-related function and low back pain intensity. Our hypotheses were that severity of back pain and impaired back function would be related to preference for more frequent yoga classes and that receiving the preferred treatment or having high expectations for treatment would be related to improved outcomes.

METHODS

Study Design

Data from Saper et al were analyzed in a secondary data analysis. The study was a two-armed randomized controlled trial comparing once-weekly yoga classes to twice-weekly yoga classes for treatment of cLBP in predominantly low-income, minority participants residing in Boston, Massachusetts. A full description of the methodology has been described previously.14 Briefly, 95 adults aged 18 to 64 years participated in this study. Of these, 93 participants identified a preference for treatment group at baseline and were included in the analysis for this study. Inclusion criteria were current nonspecific low back pain persisting for 12 weeks or longer, mean low back pain intensity for the previous week of ≥4 on a 0 to 10 numerical rating scale, English fluency, active patient status at 1 of the 5 study sites, and willingness to provide contact information of at least 1 close friend or relative. We excluded participants if they had used yoga in the previous 6 months, had begun new cLBP treatment within the previous month, or anticipated starting a new treatment in the next 3 months; were pregnant; had back surgery in the previous 3 years; had specific cLBP pathologies (eg, spinal canal stenosis); had severe or progressive neurological deficits; had sciatica pain equal to or greater than their back pain; were involved in active workers compensation, disability, or personal injury claims; or had perceived religious conflict with yoga intervention. The Institutional Review Board of Boston University Medical Campus approved all study activities.

Data Collection

At baseline, we collected sociodemographic, function, and back pain data. We assessed back function using the modified Roland Morris Disability Questionnaire (RMDQ),15 a 23-item validated instrument measuring the number of activities of daily living limited due to back pain. Scores range from 0 to 23, with higher scores reflecting poorer back-related function. Average pain level for the previous week was assessed using an 11-point numeric scale (0=no pain to 10=worst pain).16 Health-related quality of life was determined using the SF-36.17 Expectation of helpfulness was assessed by asking, “How helpful do you expect yoga once a week would be for your back problems (0=not helpful at all to 10=very helpful)?” We then repeated the question for twice-weekly yoga. We categorized expectation scores using the median into high and low for once- and twice-weekly yoga.8 Preference for treatment assignment was assessed by asking, “If you had a choice, which group would you prefer to be in: yoga once a week or yoga twice a week?” A participant was considered “concordant” if a his or her preference matched his or her randomization group. At 12 weeks, participants were surveyed once more to reassess back function and pain using the RMDQ and 11-point pain scale.

Data Analysis

We summarized expectation scores, preferences, and sociodemographic data with descriptive statistics. We compared sociodemographic data, SF-36 scores, and back pain–related factors between those who preferred once-weekly yoga and those who preferred twice-weekly yoga. We performed bivariate analysis to identify possible associations using student _t_-test for continuous variables and chi-square test of independence for categorical and dichotomous variables. We used logistic regression to identify predictors of preference for once- or twice-weekly yoga instruction. We included variables that were associated with preference groups in bivariate analysis (P<.30) and used a forward selection strategy to arrive at the final logistic regression model.

To determine if independent associations existed between expectations, preference, concordance, and outcomes, we first defined our primary outcomes of interest as change in back function and change in back pain. Change scores were calculated by subtracting baseline values from 12-week values. We created linear regression models using either change in RMDQ score or change in low back pain score as the dependent variable. We controlled for gender, age, ethnicity, language, income, education, religion, and employment, while examining preference for once- or twice-weekly yoga, expectation for once-weekly yoga, expectation for twice-weekly yoga, and concordance as predictors. A forward selection strategy was used to arrive at the final model. The analyses presented in Table 2 were planned secondary analyses. However, sample size was determined based on a power analysis for the primary analysis. All analyses used a 2-sided α=0.05 for statistical significance. We used SAS version 9.3 (SAS Institute, Cary, North Carolina) for all statistical analyses.

Table 2.

Predictors of Preference for Twice-weekly Yogaa

Odds ratio (95% Confidence Interval)
Worse Back Function (RMDQ) 1.2 (1.1, 1.3)
Expectation score for Once-weekly yoga 0.6 (0.5, 0.9)
Expectation score for twice-weekly yoga 1.9 (1.3, 2.7)

RESULTS

Baseline Characteristics, Expectations, and Preference

Table 1 describes baseline sociodemographic and clinical characteristics of the 93 participants included in analyses stratified by preference for once-or twice-weekly yoga. Thirty-two percent of participants preferred once-weekly yoga, and 68% preferred twice-weekly yoga. Average age of all participants was 47.5 years, and the majority were female. Mean RMDQ and pain scores reflected moderate-to-severe chronic low back pain.

Table 1.

Baseline Participant Characteristics by Preference

Preference for Once-weekly Yoga (n=30) Preference for Twice-weekly Yoga (n=63) P value
Age Mean (SD) 48.6 (13) 47.0 (10) .49
Female N (%) 22.0 (73) 48.0 (76) .80
Low Back pain Intensity Mean (SD) 6.5 (2) 7.0 (2) .17
Expectation score for Once-weekly yoga Mean (SD) 7.5 (3) 6.5 (2) .06
Expectation score of twice-weekly yoga Mean (SD) 7.0 (3) 9.0 (2) .003
RMDQ Mean (SD) 12.4 (6) 15.6 (5) .007
SF-36 Physical Component Score (PCS) Mean (SD) 40.8 (8) 35.9 (7) .003
SF-36 Mental Component score (MCS) Mean (SD) 48.0 (13) 42.9 (12) .07

Table 1 also summarizes expectation scores. Among those who preferred once-weekly yoga, mean expectation scores for once-weekly yoga and twice-weekly yoga were similar (7.5 and 7.0 respectively, _P_=.46). Among those who preferred twice-weekly yoga, mean expectation for twice-weekly yoga classes was greater than for once-weekly (9.0 and 6.5, respectively, P<.001).

Expectation scores for weekly yoga were somewhat higher among those preferring once-weekly yoga compared to those preferring twice-weekly classes (7.5 and 6.5 respectively, _P_=.06). Expectations for twice-weekly yoga classes were significantly greater among those preferring twice-weekly classes compared to those who preferred once-weekly classes (9.0 and 7.0 respectively, _P_=.003).

For individuals who preferred twice-weekly yoga, baseline RMDQ scores were significantly higher than those for participants preferring once-weekly yoga (15.6 and 12.4 respectively, _P_=.007) and SF-36 Physical Component Scores were significantly lower (35.9 vs 40.8, _P_=.003). SF-36 Mental Component Scores were also lower for the group preferring twice-weekly yoga, but this did not reach statistical significance (42.9 vs 48.0, _P_=.07).

Predictors of Preference for Once- vs Twice-weekly Yoga

We performed a logistic regression analysis to examine potential predictors of preference, including expectations (Table 2). We controlled for education, baseline RMDQ score, back pain score, and SF-36 Mental Component Scores. SF-36 Physical Component Scores were not included in the regression model due to high correlation to RMDQ scores (Pearson coefficient: 0.71, P<.001). We found a statistically significant association between expectation and preference for twice-weekly yoga. Individuals with higher expectation scores for once-weekly yoga had 40% lower odds of preferring twice-weekly yoga (OR 0.6, CI 0.5, 0.9). Individuals with higher expectation scores for twice-weekly yoga had 90% higher odds of preferring twice-weekly vs once-weekly yoga (OR 1.9, CI 1.3, 2.7). There was also a statistically significant relationship between baseline RMDQ score and preference for twice-weekly yoga, with worse back function associated with 20% higher odds of preferring twice-weekly yoga (OR 1.2, CI 1.1, 1.3).

Influence of Preference, Expectation and Concordance on Change in Back pain and Function

Ninety-three participants identified a preference at baseline. Seventeen of 30 people (57%) who preferred once-weekly yoga were randomized into once-weekly yoga classes. Thirty-three of 63 people (52%) who preferred twice-weekly yoga were randomized into twice-weekly yoga classes. Fifty people (54%) were concordant, and 43 individuals (46%) were discordant.

Table 3 describes change in low back pain and RMDQ scores at the end of 12 weeks according to participant preference, expectation, and concordance. All groups had improved back pain and function after 12 weeks. However, we found no statistically significant or clinically meaningful differences when we stratified the data by preference, expectation, or concordance. We performed linear regression analysis to assess independent associations between change in RMDQ scores and preference, expectation, and concordance. After controlling for treatment arm, education, age, gender, baseline SF-36 Physical Component Score, and baseline RMDQ score, preference, expectations scores, or concordance were not independently predictive of outcome (data not shown). Similarly, regression models with change in low back pain intensity as the dependent variable also did not show any statistically significant associations. In both regression models, we did not see statistically significant interactions between preference and concordance or between preference and high or low expectations.

Table 3.

Influence of Preference, Expectation, and Concordance on Changes in Back Pain and Function

Preference P value Expectation for Once-weekly Yoga Classes P value Expectation for Twice-weekly Classes P value Concordance of Preference With Treatment Assignment P value
Once-weekly Twice-weekly High Low High Low Yes No
Change in LBP Intensity Mean (SD) 2.0 (2) 2.4 (3) .44 2.1 (3) 2.6 (3) .34 2.2 (3) 2.4 (2) .67 2.1 (3) 2.5 (3) .42
Change in RMDQ Mean (SD) 4.6 (5) 5.6 (7) .45 4.8 (7) 5.5 (6) .59 4.6 (7) 5.7 (6) .44 4.5 (5) 6.2 (7) .22

DISCUSSION

In a population of low-income minority participants with cLBP, we found that worse back function was associated with preference for more frequent yoga classes. Participants who preferred more yoga classes had higher expectations for those classes. Despite this, our outcome measures of back pain intensity and change in RMDQ after 12 weeks did not appear to be affected by dosing preference or expectation score. In this study, being randomized into one's preferred treatment arm was not independently associated with outcome.

Little has been published about the effects of expectations and preferences of yoga on outcomes in cLBP.13 The literature on expectations of CAM interventions on low back pain has had inconsistent conclusions. Three studies corroborate our findings. Myers et al asked expectation questions about usual care and usual care plus specific CAM interventions (chiropractic, acupuncture, or massage) of 444 patients with acute low back pain. Linear regression showed that expectations for specific therapy were not related to functional outcome as measured by the RMDQ at 5 weeks and 12 weeks.11 Sherman et al assessed expectations and preferences regarding acupuncture for the treatment of cLBP in 477 patients. They found no significant predictors of short- or long-term improvement in back-related symptoms or function.7 Bishop et al performed an adjusted logistic regression looking at the relationship between patient expectations for different manual therapies and successful outcomes in 112 patients. They found no statistically significant relationship between treatment expectations and outcome.18 They included an “intervention-belief” interaction similar to our “concordance” variable, which also did not predict successful outcome at a statistically significant level.

In contrast to our findings, Kalauokalani et al assessed expectation for acupuncture, massage, and self-care for treatment of chronic back pain in 135 patients. They found that patients with higher treatment expectations had more than a 3-point greater improvement on the RMDQ than did patients with lower treatment expectations.8

Our study has several limitations. All participants entering the study expected to receive a yoga intervention. We believe this caused relatively high expectation scores for all participants with little overall variance. This may explain why we did not observe a relationship between expectations and outcomes. Since our analysis of expectations and preference was performed on 2 doses of the same yoga intervention, we cannot generalize our findings to the comparison of different treatment modalities. We used a very general question about the “helpfulness” of yoga as the basis for our expectation rating. Though many studies have used similar constructs to assess expectations,7-9,11,18 it is difficult to identify and encapsulate all the factors that influence expectation into a single number. For example, we do not know how an individual's expectations are affected by self-efficacy, prior knowledge, previous experience with yoga, and time. In addition, yoga, unlike some more passive treatments, requires a certain amount of motivation, activation, and participation for benefits. The high expectation scores may be related to increased self-efficacy and an increased willingness or motivation to engage in the practice of yoga. We could not account for these important factors in our analysis. Lastly, although the sample size for this study was not based on these planned secondary analyses, we had 89% to 96% power to detect a clinically significant difference in pain (2 points). However, there was less power (59% to 65% power) to detect a clinically significant difference in RMDQ (3 points).

CONCLUSIONS

Clinically, our findings indicate that considering a patient's preference for yoga class frequency will likely not affect outcomes in cLBP as long as a minimally effective dose is received. Prior studies have demonstrated that for cLBP, benefits may accrue from 12 weeks of once-weekly yoga.13,14,19,20 Our findings may have been different with more disparate interventions. Future research to improve our understanding of the complexity of expectations on outcomes is needed. In particular, validating new multifaceted measures of expectation and understanding how expectation changes over time may prove useful.

Authors' Contributions

RBS conceived of the study and participated in its design and coordination. HHT and JW performed the statistical analysis. HHT prepared the manuscript. All authors helped to draft the manuscript. All authors read and approved the final manuscript.

Acknowledgments

The authors would like to thank Christian Cerrada and Ekaterina Sadikova for their assistance with data management and analysis. This publication was made possible by grant number 1R01AT005956 from the National Center for Complementary and Alternative Medicine (NCCAM) at the National Institutes of Health. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of NCCAM. Dr Tran was supported by National Research Service Award number T32HP10028.

Disclosures The authors completed the ICMJE Form for Disclosure of Potential Conflicts of Interest and disclosed receipt of a grant from the National Center for Complementary and Alternative Medicine at the National Institutes of Health; see the Acknowledgments section of the article for more information. Please note that Dr Saper, one of the co–editors-in-chief of Global Advances in Health and Medicine, had no involvement in the review of this article for publication.

Contributor Information

Huong H. Tran, Department of Family Medicine, Boston University School of Medicine and Boston Medical Center, Massachusetts (Dr Tran), United States.

Janice Weinberg, Department of Biostatistics, Boston University School of Public Health, Massachusetts (Dr Weinberg), United States.

Karen J. Sherman, Group Health Research Institute, Group Health Cooperative, Seattle, Washington and Department of Epidemiology, University of Washington, Seattle (Dr Sherman), United States.

Robert B. Saper, Department of Family Medicine, Boston University School of Medicine and Boston Medical Center, Massachusetts (Dr Saper), United States.

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