Abstract
Objectives:
In this study of 154 community-dwelling older adults with chronic non-cancer pain, we sought to assess participants’ beliefs about pain as well as pain management treatments and determined the influence of those beliefs on participants’ willingness to undertake three physician-recommended pain treatments, i.e., a pharmacologic, physical, and psychological therapy.
Methods:
A 16-item questionnaire was employed to ascertain participants’ pain beliefs, divided into four subscales representing 1) negative beliefs about pharmacological treatments, 2) positive beliefs about physical treatment approaches, e.g., exercise; 3) positive beliefs about psychological treatments, and 4) fatalistic beliefs about pain. Participants were asked to rate their willingness to undertake a pharmacologic, physical, or psychological therapy if their physician recommended that they do so. Agreement with each belief was measured, and we examined willingness to undertake each treatment as a function of pain belief subscale scores after controlling for relevant covariates.
Results:
Positive beliefs about physical treatments (e.g., benefits of exercise) were the most strongly endorsed items on the pain beliefs questionnaire. All three treatment-focused pain beliefs subscales were significantly associated with willingness to undertake that form of treatment (e.g., negative beliefs about pain medication use were associated with decreased willingness to take pain medication). Fatalistic attitudes were significantly associated with a decreased willingness to undertake physical treatments.
Discussion:
These results support the notion that patients’ beliefs about pain and pain treatments can have important effects on treatment engagement and, if assessed, can help guide clinical management of chronic pain in older adults.
Keywords: pain, aging, pain beliefs, treatment engagement
Introduction
Chronic pain is one of the most common conditions healthcare physicians encounter when treating patients over 65.[1] A nationwide survey of older adults in the United States found that approximately half reported bothersome pain in the previous month, and this rate is similar or higher for patients residing in long-term care institutions.[2–5] While pain affects older adults disproportionately, it can negatively impact both physical and mental health as well as quality of life throughout the life span.[6–8] Although pain is often the result of underlying physiological processes, a large body of evidence confirms the important role that social and psychological factors play in the pain experience.[9, 10]
The biopsychosocial model of pain posits that pain-specific psychological factors and beliefs affect patient experiences and should be considered when treating pain.[11] Pain-specific psychological factors and beliefs can either be protective or can increase risk for poor outcomes. Research has shown that increased self-efficacy, the confidence in one’s ability to successfully manage pain and associated symptoms, is related to lower levels of functional impairment in patients with chronic pain.[12] In contrast, negative attitudes, such as the belief that pain indicates disability, are associated with poor psychological function and lower physical activity levels.[13]
Further, existing research indicates that pain beliefs are influenced by culture and have an impact on both treatment adherence and satisfaction.[14–16] It therefore stands to reason that patients’ views regarding pain and pain treatments also likely affect patients’ willingness to engage in specific pain therapies.[17] One qualitative study examining adherence to home exercise treatments among individuals with neck pain found that participants’ beliefs and perceptions, for example regarding the efficacy of the exercises and their prognosis, influenced their decision to adhere to treatment.[18] Similar results appear in a systematic review examining adherence to rehabilitation programs among patients with chronic pain, which found that low self-efficacy and a high degree of catastrophizing were associated with poor adherence to and early cessation of treatment.[15] Beliefs about specific treatments can also affect pain management behaviors but have been studied less extensively. A study examining treatment decisions among patients with osteoarthritis found that positive beliefs regarding a specific treatment modality were associated with the intention to choose that treatment.[19] Given the ability of patient pain beliefs to alter relevant health behaviors, additional research on this relationship is crucial to managing chronic pain.
The body of research evaluating relationships between pain-related beliefs and health behaviors in older adults, however, remains quite limited. Given the high prevalence and impact of pain in later life, as well as the many barriers physicians routinely encounter in managing this condition, efforts to identify malleable targets for intervention in this population are needed. These efforts are particularly needed in the United States given the continued aging of the population and the changing socio-cultural landscape. Accordingly, our study sought to assess beliefs both about pain and pain management interventions among community-dwelling older adults with chronic non-cancer pain and to examine their effect on participants’ willingness to undertake three broad forms of treatment: pharmacologic, physical, and psychological therapy. We also ascertained the degree to which these associations varied as a function of participants’ age, gender, race, number of chronic medical conditions, and functional status, as well as level of pain intensity, pain-related disability, and pain self-efficacy.
Materials and Methods
Study Sites and Sample Assembly
Participants were recruited from one ambulatory care practice serving older adults and three senior centers located in New York City. Of the three senior centers, one served a predominantly Hispanic clientele, a second provided services mostly to African Americans, while the third center provided services to a population heterogeneous with respect to race/ethnicity. Participants had to be at least 60 years of age, report the presence of pain on most days for three or more months, speak English, and have no significant cognitive deficits as determined by a standard cognitive screening tool described below.[20] For recruitment from the medical practice, research assistants approached potential participants prior to a scheduled medical appointment and described the study in detail before asking if they were interested in participating. Recruitment at the senior centers involved having a project team member provide a general talk about pain issues to clients attending the center that typically lasted between 20–30 minutes. These talks provided general information about causes of pain, customary methods of managing pain, and information about where interested persons could go to learn more about pain (e.g., local Arthritis Foundation chapter). The talks did not include any discussion about pain beliefs and their possible relationship with health behaviors. At the end of the talk, members of the audience were informed about the study, and interested persons with a pain problem were asked to meet with research personnel to determine their eligibility status. Each senior center (as well as the medical practice) provided private office space where screening, consent, and administration of the survey took place.
Prospective participants were first screened (after obtaining oral consent) for the presence of significant cognitive impairment.[20] Individuals who answered at least five of six questions correctly passed this screener and were subsequently asked if they experienced pain on most days over the past three months and if they felt comfortable answering a series of questions in English. Individuals who answered yes to both questions were invited to participate. Written consent was obtained prior to having participants complete the full survey.
Of 228 individuals approached for participation beginning in June 2017 and ending in September 2017, 206 (90%) agreed to undergo screening. Of these, 52 were screened out owing to either significant cognitive impairment (n=12), not endorsing the presence of chronic pain (n=26) or having limited English skills (n=14), leaving a final sample of 154. Of the final sample, 62 were recruited from the ambulatory care practice and 92 from the three senior centers. The Weill Cornell Institutional Review Board approved the study. Participants received a $25 gift card to compensate them for their time.
Data Collection
Standard questions were administered to obtain data on participants’ sociodemographic status to include age, gender, race/ethnicity status, marital status, and years of education. Co-morbidities were determined by asking, “As far as you know, do you have any of the following health conditions at the present time?” Participants responded “Yes,” “No,” or “Unsure” for 16 chronic conditions that included: asthma, arthritis, cancer, diabetes, digestive problems, heart trouble, kidney disease, liver problems, stroke, high cholesterol, high blood pressure, osteoporosis, Parkinson’s disease, glaucoma, problems with hearing, and problems with mouth or teeth. “Yes” responses were summed to create a composite co-morbidity score. Participants’ functional status was assessed by inquiring about their ability to perform seven instrumental and seven basic activities of daily living (ADLs).[21] Responses included self-reported ability to perform each activity “without help,” “with some help,” or “completely unable.” Scores for the ADL and IADL subscales ranged from 0 (completely unable to do all seven items) to 14 (completely independent in all seven activities).
Participants’ level of pain was determined using a 0–10 pain intensity scale (0 = no pain and 10 = pain as bad as you can imagine).[22, 23] Pain-related disability was assessed with a Roland Morris Disability Questionnaire (RMDQ) modified for populations with chronic pain.[24] The RMDQ was originally used to quantify the degree of disability due to back pain, but is increasingly being employed to ascertain pain-related disability in general pain populations.[24–27] Finally, participants’ level of self-efficacy for managing pain was ascertained using the 10-item Pain Self-Efficacy questionnaire.[28]
Assessing Participants’ Beliefs about Pain and Pain Treatments
Based on a literature review and the experience of the senior author (MCR) caring for older adults with persistent pain over the past two decades, a set of 16 questions was selected to capture participants’ beliefs about pain and pain management treatments. The 16 questions were classified into four specific domains specified a priori and included: 1) concerns about pain medication use (e.g., addictive nature of pain medications), 2) physical approaches to managing pain in the form of exercise (e.g., exercise is a good way to mitigate pain), 3) psychological approaches to managing pain (e.g., distraction is an effective way to reduce pain), and 4) fatalistic beliefs about pain (e.g., pain levels are not likely to improve with time). Of the 16 items, 11 were drawn from established pain belief questionnaires;[19, 29–32] three had been employed in prior investigations of pain beliefs,[33–36] while the remaining two items were developed de novo and supported by prior research.[37, 38] The number of items in each domain was: pharmacologic (five items), physical (three items), psychological (four items), and fatalistic (four items). Table 2 shows all 16 items administered as part of the assessment battery. An estimate of internal consistency for the total scale is 0.73.
Table 2:
Pain Belief/Attitude | % Endorsing Somewhat or Completely Agree | Mean (SD)1 | Item |
---|---|---|---|
Fatalistic subscale | |||
One should expect to have pain by the time you get to be in your 80’s or 90’s. | 66% | 3.61 (1.58) | 1 |
I don’t believe there is any treatment that can make my pain better. | 30% | 2.42 (1.54) | 5 |
Once you develop a pain problem it will only get worse. | 39% | 2.76 (1.58) | 12 |
The best strategy for dealing with pain is to simply accept it as part of your life. | 57% | 3.23 (1.74) | 13 |
Physical subscale | |||
General exercise is a good strategy for relieving pain. | 93% | 4.57 (0.97) | 2 |
Physicians should educate patients about safe ways to exercise as a means of managing pain. | 92% | 4.57 (0.94) | 6 |
Avoiding physical activity is a good way to reduce pain. | 23% | 2.04 (1.48) | 8 |
Pharmacologic subscale | |||
Pain medications are dangerous. | 66% | 3.64 (1.46) | 3 |
Taking pain medication is the best way to reduce pain. | 44% | 2.84 (1.58) | 7 |
I know someone who has been harmed because of taking a pain medication. | 42% | 2.83 (1.81) | 9 |
I take as little pain medicine as possible because they are addictive. | 73% | 3.98 (1.50) | 11 |
I take pain medication infrequently because if you take them too often, they stop being effective. | 63% | 3.64 (1.65) | 16 |
Psychological subscale | |||
Using relaxation techniques helps to take my mind off of the pain. | 79% | 4.08 (1.30) | 4 |
Pain can be reduced by focusing the mind on other things. | 81% | 4.14 (1.17) | 10 |
When I am relaxed, I feel less pain. | 83% | 4.26 (1.20) | 14 |
Physicians should educate patients about ways to use relaxation to help reduce pain. | 88% | 4.48 (.99) | 15 |
Each mean represents agreement on a scale of 1–5, with 1 representing completely disagree and 5 representing completely agree.
Response scales for the 16 belief items ranged from 1 to 5, where 1 = completely disagree and 5 = completely agree. Scale responses for two of the questions (7 and 8, Table 2) were reversed so that all questions in the pharmacologic subgroup reflected generally negative beliefs about analgesic medication use and all questions in the physical modality reflected generally positive attitudes about this treatment approach. All questions in the psychological treatment subscale were framed to capture generally positive beliefs about this form of treatment. The decision to frame questions about pain medication use in a negative manner is consistent with literature documenting generally negative views about analgesic medication use in older adults with pain.[39–41] We elected to frame questions about physical and psychological approaches to pain management in a positive manner to be consistent with literature encouraging physicians to advocate use of these approaches when managing chronic pain in patients of all ages, including older adults.[42–44]
Composite scores were created for all four subscales. Scales were constructed as means of their component items, with the requirement that three out of four of the items not have missing data for an individual (none did). We also constructed a total mean score across the 16 items.
Following data collection we recognized that three items—“taking pain medication is the best way to reduce pain”; “the best strategy for dealing with pain is to simply accept it as part of your life”; and “I use pain medication infrequently because if you take them too often they stop being effective”—could be viewed differently by different respondents. For example, participants with a positive or negative belief about pain medication use may have answered affirmatively to the question about analgesic tolerance. The same was felt to be true for the two other items listed above. We therefore excluded these three items from the subscale analyses. In the analysis we did examine the subscales including and not including all three items. There were no substantive differences in the results.
Participants’ intentions to undertake three physician-recommended treatments for pain were the dependent variables in the study. To gauge willingness to undertake a pharmacologic treatment, participants were asked: “Your doctor recommends that you take a very strong pain reliever as a way of helping you manage your pain. It is one of the strongest pain relievers known and while it can reduce pain it has several side effects such as constipation, drowsiness, and on occasion nausea and vomiting.” To gauge willingness to undertake a physical treatment, participants were asked: “Your doctor recommends that you see a physical therapist who is skilled in teaching older adults how to do specific exercises as a means of reducing pain.” Finally, to gauge willingness to undertake a psychological treatment for pain, participants were asked: “Your doctor recommends that you receive training from a psychologist who is skilled in teaching older adults with pain how to use psychological treatments such as relaxation to help you reduce your pain.” For each of the three situations above, participants were asked: “how likely would you be to go along with what your doctor has said?” Possible responses for all three questions were 1=not likely at all, 2=somewhat unlikely, 3=uncertain, 4=somewhat likely, to 5=completely likely.
Statistical Analysis
The focus of the analysis is an examination of the relation between the four pain belief subscales and the three self-reported behavior outcomes. We specified an a priori set of additional independent variables to be included in the models, based on our previous research and the literature.[45–47] These included fixed classification factors for gender and race/ethnicity (non-Hispanic white, Hispanic, African-American, other) and covariates age, number of chronic medical conditions, Roland Morris score, pain level, pain self-efficacy, IADL, and ADL.
We examined each of the three behavior variables as a function of these variables and a focal belief variable (one at a time) in general linear models. We carried out a full examination of interactions between the belief variable and each of the other independent variables, looking at homogeneity of regressions of behavior on beliefs by levels of categorical variables and at cross products for quantitative variables (we also categorized quantitative variables by clinically meaningful cutoffs and tested homogeneity of regressions).
The estimates of regressions of behavior 5-point scales on belief subscales do not have a ready clinical interpretation. As a heuristic, we categorized the behavior scales (1 = original codes 4 and 5 (somewhat likely and completely likely) and 0 = original codes 1–3 (not at all likely, somewhat unlikely, uncertain)) and also categorized the belief subscales in three ranges (bottom category approximately 20% of responses, top category approximately 20%, and the middle category the remaining responses) and estimated odds ratios for top versus bottom.
As a final model—one not independent of the preceding—we created a fixed repeated measures factor for the three behavior variables and included that classification factor in the model, its interaction with a given belief variable, along with the other a priori variables. Patients were included as levels of a random classification factor, and the analysis was by general linear mixed models.
Results
Participant Demographics
Table 1 shows the demographic characteristics of the sample (N=154). Most participants were female (79%); 79% were single. There were close to equal numbers of African American (33.1%) and Hispanic participants (31.2%) and 28% of participants were Caucasian. The mean age for the sample was 75.82 (SD= 7.51) and the mean education level indicated that about half of all participants completed at least one year of college (mean=13.40, SD=3.93). The mean average pain intensity score was 4.42 out of 10 (SD=3.02) and the mean Roland Morris disability score was 11.48 out of 24 (SD= 6.57). The mean pain self-efficacy score was 48 out of 60 (SD= 12.50).
Table 1:
Characteristic | N (%) |
---|---|
Gender | |
Female | 123 (79.87%) |
Male | 31 (20.13%) |
Marital Status | |
Widowed | 48 (31.17%) |
Divorced | 36 (23.38%) |
Married/Partner | 33 (21.43%) |
Never Married | 28 (18.18%) |
Separated | 9 (5.84%) |
Race | |
African American | 51 (33.12%) |
Hispanic | 48 (31.17%) |
Caucasian | 43 (27.92%) |
Other | 12 (7.79%) |
Mean (SD) | |
Age | 75.82 (7.51) |
Education | 13.40 (3.93) |
No. Chronic Conditions | 4.34 (2.12) |
Pain Level (0–10) | 4.42 (3.02) |
Roland Morris Score (0–24) | 11.48 (6.57) |
Pain Self Efficacy (0–60) | 47.27 (12.50) |
IADL (0–14) | 5.40 (1.10) |
ADL (0–14) | 5.92 (1.56) |
Prevalence of Specific Pain Beliefs
Table 2 shows the percent agreement (proportion who somewhat agreed or completely agreed) and mean score for each individual pain belief item. Of the 16 pain belief items, positive beliefs about the ability of physical treatments (e.g., exercise) to reduce pain were frequently endorsed, with 93% (mean 4.57, SD 0.97) agreeing with the statement that exercise is a good way to manage pain, while 92% (mean 4.57, SD 0.94) endorsed the notion that physicians should educate patients about safe ways to exercise as a means of managing pain. Items representing positive beliefs about psychological interventions for chronic pain, such as relaxation techniques, also had high levels of endorsement, with percent agreement ranging from 79% (mean 4.08, SD 1.30) for the statement that relaxation techniques can help to reduce pain levels to 88% (mean 4.48, SD 0.99) for the statement that physicians should educate patients about ways to use relaxation to help reduce pain. For pharmacological interventions, participants were asked about four negative beliefs regarding analgesic use. The majority of participants endorsed negative beliefs about pain medication use, with 66% (mean 3.64, SD 1.46) agreeing with the statement that pain medications are dangerous and 73% (mean 3.98, SD 1.50) agreeing with the statement that they take as little pain medicine as possible because they are addictive. The exception was the statement that “I know someone who has been harmed because of taking a pain medication,” which was endorsed by 42% (mean 2.83, SD 1.81) of participants.
Participants were asked about their level of agreement with 4 statements reflecting a fatalistic attitude toward pain. Only two of these statements, “one should expect to have pain with advancing age” and “the best strategy for dealing with pain is to accept it,” were endorsed by a majority of participants, with 66% (mean 3.61, SD 1.58) and 57% (mean 3.23, SD 1.74) agreement respectively.
Regressions of Behavior Variables on Pain Beliefs Subscales
Table 3 shows the estimated regressions and their significance level associated with the three behavior variables (participants’ expressed willingness to undertake three physician recommended treatments for pain) and the four belief subscales. Increased scores on the pharmacological subscale, which represented negative views of pharmacological interventions, were associated with a decreased likelihood of undertaking a physician recommendation to take a strong pain reliever (P=.02). Higher scores on the physical subscale, which represented positive views of physical modalities such as exercise, were associated with an increased likelihood to undertake a physician recommendation to see a physical therapist for pain management (P=.0002). Higher scores on the psychological subscale, which represented positive views on behavioral techniques such as relaxation, were associated with an increased likelihood to undertake a doctor’s recommendation to see a psychologist skilled in teaching older adults psychological techniques for pain management, such as relaxation (P=<.0001). In addition, positive attitudes regarding psychological interventions were associated with a decreased likelihood of undertaking a pharmacological intervention (P=.01).
Table 3:
Doctor recommends taking strong pain reliever with potential adverse side effects | Doctor recommends seeing a physical therapist to learn exercises as a way of reducing pain | Doctor recommends seeing a psychologist to learn psychological techniques as a way of reducing pain | |
---|---|---|---|
Pharmacological subscale1 | −.25 (0.02) | −.07 (0.48) | −.10 (0.44) |
Physical subscale2 | .25 (0.11) | .50 (<0.001) | .31 (0.09) |
Psychological subscale3 | −.35 (0.01) | .19 (0.12) | .66 (<0.001) |
Fatalistic subscale4 | −.02 (0.88) | −.21 (0.04) | −.22 (0.11) |
Results reflect regression coefficients and associated p values.
Corresponding pain beliefs items for each subscale:
Pharmacological subscale: Pain medications are dangerous. I know someone who has been harmed because of taking a pain medication. I take as little pain medicine as possible because they are addictive.
Physical subscale: General exercise is a good strategy for relieving pain. Physicians should educate patients about safe ways to exercise as a means of managing pain. Avoiding physical activity is a good way to reduce pain.
Psychological subscale: Using relaxation techniques helps to take my mind off of the pain. Pain can be reduced by focusing the mind on other things. When I am relaxed, I feel less pain. Physicians should educate patients about ways to use relaxation to help reduce pain.
Fatalistic subscale: One should expect to have pain by the time you get to be in your 80’s or 90’s. I don’t believe there is any treatment that can make my pain better. Once you develop a pain problem it will only get worse.
There were no other significant relationships between beliefs regarding one treatment and willingness to undertake a different treatment. Fatalistic attitudes were associated with a decreased willingness to undertake physical therapy (P=.04) but had no significant associations with willingness to undertake pharmacological or psychological forms of treatment.
We also analyzed the 16-item pain belief score and its associations with the three behavior variables, but the total score showed less coherence than the individual subscales, indicating the utility of the subscales, and are not reported here.
The analyses of interactions between belief subscales and sociodemographic and clinical variables, while showing a few such interactions (mainly involving pain level and pain-related disability), had no meaningful or consistent pattern and none that changed the overall results discussed above. The analyses of behavior variables as a repeated measure confirmed these results.
Discussion
Our study indicates that certain pain beliefs are independently associated with willingness to undertake various forms of pain treatments in community-dwelling older adults with chronic non-cancer pain. Three pain belief subscales were constructed to quantify participants’ beliefs about specific forms of chronic pain treatment directly, namely pharmacological, physical, and psychological interventions. Composite scores from each subscale were independently associated with willingness to undertake that specific form of treatment, i.e., positive beliefs about psychological and physical therapies were independently associated with greater likelihood of undertaking a psychological or physical treatment, while negative beliefs about pain medications were independently associated with a decreased likelihood of undertaking a course of a strong pain medication. These findings are consistent with the existing literature evaluating relationships between patient beliefs and health behaviors, which has found that patient beliefs influence willingness both to undertake and adhere to various treatments. [15, 19, 45, 46, 48–51] Our results add new knowledge to the field by focusing on specific beliefs about treatment rather than more general pain beliefs such as pain catastrophizing, pain self-efficacy, and fear avoidance beliefs, which have been the focus of most existing research. As importantly, ours is one of the first investigations to demonstrate a relationship between pain beliefs and willingness to undertake commonly recommended pain treatments among community-dwelling older adults. Our results also indicate that the effect of pain beliefs on willingness to engage in these treatments is likely not affected by demographic variables such as age, gender, educational level, or race/ethnicity status, although additional research would be needed to confirm these findings.
One way to gauge the impact of these beliefs on pain care is to examine the odds of undertaking a physician recommended treatment for pain in those at either end of the distribution of the pain belief subscales. For example, the odds of agreeing to undertake a physician recommendation to see a physical therapist as a means of managing pain was very low (adjusted odds ratio (AOR) = 0.13) among participants scoring in the approximate lowest (vs. highest) quintile of the physical subscale. Similarly, for participants scoring in the approximate lowest quintile of the psychological subscale, their odds of agreeing to see a psychologist to learn psychological methods of managing pain was also considerably diminished (AOR = 0.22) relative to participants scoring in the approximate highest quintile. These results reinforce strongly the need to address patients’ negative beliefs about pain treatments. One way to do this would be with the use of open-ended questions such as, “Do you have any thoughts or opinions about specific pain treatments that you believe would be important for me to know?”[52] Physicians can then work to align treatment recommendations with patients’ beliefs either by finding treatments that are consistent with patients’ preexisting beliefs (e.g. recommending physical therapy to a patient who endorses positive beliefs about exercise) or working to adjust patients’ beliefs through conversation and education. In addition, physicians should reassess patient beliefs after initiating a treatment to ensure that patients have positive beliefs regarding the necessity and efficacy of the treatment they are receiving, as these beliefs may influence adherence.
Existing data support the idea that patients’ pain beliefs should be the target of intervention efforts to encourage both treatment engagement and adherence, as well as to influence treatment outcomes.[49, 53–58] For example, one study investigating the effects of psychosocial factors on treatment outcomes in patients with neck pain found that patient expectations regarding treatment helped predict treatment success as measured by patient functioning, pain, and global perceived effect.[59] Another study evaluating the use of psychological factors to predict long-term outcomes in patients with musculoskeletal injuries who received physical therapy found significant associations between pain catastrophizing and pain intensity, as well as between fear of movement and return to work.[60] These studies highlight the importance of considering patient beliefs not just in the context of health behaviors but as a potential focus for interventions prior to or concurrently with treatment in order to increase treatment efficacy.
Our findings along with existing literature reflect the importance of patient beliefs; however, research on this topic remains limited and at times contradictory. For example, our study found that fatalistic attitudes towards pain were generally not significant predictors of willingness to undertake commonly recommended treatments for pain. In contrast, a number of studies have found evidence that fatalistic beliefs are in fact relevant to patient health behaviors.[50, 61] However, the majority of research on fatalism has been conducted in populations and contexts that differed from ours—for example within the context of cancer screening or preventive health behaviors—and measures to capture fatalism remain inconsistent across studies.[62–65] Better understanding of which patient beliefs are most strongly related to patient health behaviors, specifically in older adults with chronic pain, could help to guide future interventions based on these data.
In addition to more research establishing the relationships between patient beliefs and health behaviors, interventions targeting specific patient beliefs should be further investigated. An intervention among patients with musculoskeletal injuries that focused on decreasing psychosocial risk factors for disability found that a reduction in pain catastrophizing was correlated with a greater chance of returning to work.[66] However, the efficacy of interventions targeting patient beliefs remains unclear.[67] An educational intervention for patients with hypertension that sought to increase patient knowledge of antihypertensives found that patient beliefs regarding the necessity of medication and patient concerns regarding medications were measurably changed after the intervention, but there was no corresponding change in medication adherence.[68] Further research is needed to understand how to develop and implement interventions to change patient beliefs and how to translate those changes into salutary effects on health behaviors and treatment outcomes.
An additional potential target for intervention that warrants further research is family and caregiver beliefs regarding pain treatment of the care recipient. Existing research has shown that family and caregiver beliefs regarding treatment can act as a potential barrier to adequate pain control, especially in the setting of cancer treatment and hospice care.[69–72] However, there is less research on the influence of family and caregiver beliefs on the healthcare behaviors of community-dwelling older adults with chronic pain. Better understanding the relationship between family beliefs and patient willingness to undertake treatment in this population is an important area for future research. Furthermore, our results shed light on the frequency of positive beliefs regarding non-pharmacologic treatment modalities, which has particular relevance in the opioid epidemic era. Ninety three percent of participants agreed that general exercise is a good strategy for relieving pain, while 88% agreed that physicians should educate patients about ways to use relaxation to help reduce pain. In light of growing research on the lack of efficacy and significant risks associated with long-term opioid use in the management of chronic pain, it is vital that physicians and patients consider alternate forms of pain treatment.[42, 73] Our findings are consistent with existing literature, which suggests that older patients are open to non-pharmacologic forms of treatment, such as exercise and cognitive behavioral therapy.[74–76] Research has also elucidated various patient perceived barriers that need to be addressed in order for patients to undertake and adhere to these forms of treatment.[76–79] These findings support the idea that patients are generally receptive to these treatments and would like physicians to discuss them in the context of chronic pain management.
When viewed within the context of existing data, our results help to expand the growing body of evidence, which suggests that beliefs about pain can impact specific health behaviors. Despite the importance of these findings, there are limitations to our study that should be considered. First, participants were geographically limited to New York City. The lack of geographic diversity may limit the generalizability of these findings. Additionally, our study measured participants’ theoretical willingness to undertake three physician recommended treatments. Future studies looking at the associations between health beliefs and actual rather than intended health behaviors are needed to confirm the results reported here. A third limitation was the lack of both positive and negative beliefs represented in the pain beliefs survey. Certain research has suggested that positive and negative beliefs are not equally influential in their effects on health behaviors and effects on treatment outcomes.[17, 80] Some subscales represented positive beliefs, while other subscales represented negative beliefs. This is a possible confounding factor, and future studies should measure the effects of both positive beliefs and negative beliefs separately. Further, the data were collected over 3 years ago, which represents a possible limitation. Lastly, in asking about participants’ willingness to undertake a physician’s recommendation to take a strong pain reliever, a number of possible side effects were listed. The side effects were based on the common side effects of opioid pain relievers; our results may not represent older adults’ willingness to take other prescription-strength analgesic medications.
In conclusion, our results help to establish relationships between beliefs about pain and pain treatments and willingness to undertake specific treatments for pain in a sample of community-dwelling older adults with chronic pain. In addition, they emphasize the positive beliefs that many older adults have regarding non-pharmacologic treatment, which is relevant given increasing calls for the consideration of nonpharmacologic therapies when managing pain.[42, 81] These findings add to a growing body of literature regarding patient beliefs and health behaviors and have direct clinical relevance. By addressing pain beliefs in encounters with older patients, physicians can enhance patient willingness to undertake recommended treatments, thereby improving pain care in this growing population of patients.
Acknowledgements:
We would like to gratefully acknowledge the assistance of Ms. Jacquie Howard, whose managerial and editing skills greatly facilitated the preparation of the manuscript. Dr. Reid is supported by grants (K24AGO53462, P30AG022845) from the National Institute on Aging.
Footnotes
There are no conflicts of interest.
References
- [1].Committee on Advancing Pain Research Care and Education. Relieving Pain in America: A Blueprint for Transforming Prevention, Care, Education, and Research. In: Institute of Medicine (US), editor. 2nd ed. Washington, DC: National Academies Press; (US: ); 2011. [PubMed] [Google Scholar]
- [2].Patel KV, Guralnik JM, Dansie EJ, Turk DC. Prevalence and impact of pain among older adults in the United States: Findings from the 2011 National Health and Aging Trends Study. Pain 2013;154(12):2649–2657. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [3].Takai Y, Yamamoto-Mitani N, Okamoto Y, Koyama K, Honda A. Literature review of pain prevalence among older residents of nursing homes. Pain Manag Nurs 2010;11(4):209–223. [DOI] [PubMed] [Google Scholar]
- [4].Ersek M, Nash PV, Hilgeman MM, Neradilek MB, Herr KA, Block PR, et al. Pain patterns and treatment among nursing home residents with moderate-severe cognitive impairment. J Am Geriatr Soc 2020;68(4):794–802. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [5].Lapane KL, Quilliam BJ, Chow W, Kim M. The association between pain and measures of well-being among nursing home residents. J Am Med Dir Assoc 2012;13(4):344–349. [DOI] [PubMed] [Google Scholar]
- [6].Blyth FM, Noguchi N. Chronic musculoskeletal pain and its impact on older people. Best Pract Res Clin Rheumatol 2017;31(2):160–168. [DOI] [PubMed] [Google Scholar]
- [7].Domenichiello AF, Ramsden CE. The silent epidemic of chronic pain in older adults. Prog Neuropsychopharmacol Biol Psychiatry 2019;93:284–290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [8].Ferreira ML, de Luca K. Spinal pain and its impact on older people. Best Pract Res Clin Rheumatol 2017;31(2):192–202. [DOI] [PubMed] [Google Scholar]
- [9].Edwards RR, Dworkin RH, Sullivan MD, Turk DC, Wasan AD. The role of psychosocial processes in the development and maintenance of chronic pain. J Pain 2016;17(9 Suppl):T70–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [10].Raftery MN, Sarma K, Murphy AW, De la Harpe D, Normand C, McGuire BE. Chronic pain in the Republic of Ireland--community prevalence, psychosocial profile and predictors of pain-related disability: Results from the Prevalence, Impact and Cost of Chronic Pain (PRIME) study, part 1. Pain 2011;152(5):1096–1103. [DOI] [PubMed] [Google Scholar]
- [11].Miaskowski C, Blyth F, Nicosia F, Haan M, Keefe F, Smith A, et al. A biopsychosocial model of chronic pain for older adults. Pain Med 2020;21(9):1793–1805. [DOI] [PubMed] [Google Scholar]
- [12].Jackson T, Wang Y, Fan H. Self-efficacy and chronic pain outcomes: A meta-analytic review. J Pain 2014;15(8):800–814. [DOI] [PubMed] [Google Scholar]
- [13].Jensen MP, Karoly P. Pain-specific beliefs, perceived symptom severity, and adjustment to chronic pain. Clin J Pain 1992;8(2):123–130. [DOI] [PubMed] [Google Scholar]
- [14].Orhan C, Van Looveren E, Cagnie B, Mukhtar NB, Lenoir D, Meeus M. Are pain beliefs, cognitions, and behaviors influenced by race, ethnicity, and culture in patients with chronic musculoskeletal pain: A systematic review. Pain Physician 2018;21(6):541–558. [PubMed] [Google Scholar]
- [15].Thompson EL, Broadbent J, Bertino MD, Staiger PK. Do pain-related beliefs influence adherence to multidisciplinary rehabilitation?: A systematic review. Clin J Pain 2016;32(2):164–178. [DOI] [PubMed] [Google Scholar]
- [16].Timmerman L, Stronks DL, Huygen FJ. The relation between patients’ beliefs about pain medication, medication adherence, and treatment outcome in chronic pain patients: A prospective study. Clin J Pain 2019;35(12):941–947. [DOI] [PubMed] [Google Scholar]
- [17].Wertli MM, Held U, Lis A, Campello M, Weiser S. Both positive and negative beliefs are important in patients with spine pain: Findings from the Occupational and Industrial Orthopaedic Center registry. Spine J 2018;18(8):1463–1474. [DOI] [PubMed] [Google Scholar]
- [18].Medina-Mirapeix F, Escolar-Reina P, Gascón-Cánovas JJ, Montilla-Herrador J, Collins SM. Personal characteristics influencing patients’ adherence to home exercise during chronic pain: A qualitative study. J Rehabil Med 2009;41(5):347–352. [DOI] [PubMed] [Google Scholar]
- [19].Selten EMH, Geenen R, Schers HJ, van den Hoogen FHJ, van der Meulen-Dilling RG, van der Laan WH, et al. Treatment beliefs underlying intended treatment choices in knee and hip osteoarthritis. Int J Behav Med 2018;25(2):198–206. [DOI] [PubMed] [Google Scholar]
- [20].Callahan CM, Unverzagt FW, Hui SL, Perkins AJ, Hendrie HC. Six-item screener to identify cognitive impairment among potential subjects for clinical research. Medical Care 2002;40(9):771–781. [DOI] [PubMed] [Google Scholar]
- [21].Fillenbaum G. Multidimensional functional assessment of older adults: The Duke Older Americans Resources and Services procedures. Hillsdale, NJ: Erlbaum; 1998. [Google Scholar]
- [22].Jensen MP, McFarland CA. Increasing the reliability and validity of pain intensity measurement in chronic pain patients. Pain 1993;55(2):195–203. [DOI] [PubMed] [Google Scholar]
- [23].Williamson A, Hoggart B. Pain: A review of three commonly used pain rating scales. J Clin Nurs 2005;14(7):798–804. [DOI] [PubMed] [Google Scholar]
- [24].Dobscha SK, Corson K, Perrin NA, Hanson GC, Leibowitz RQ, Doak MN, et al. Collaborative care for chronic pain in primary care: A cluster randomized trial. JAMA 2009;301(12):1242–1252. [DOI] [PubMed] [Google Scholar]
- [25].Nicholas MK, Asghari A, Blyth FM, Wood BM, Murray R, McCabe R, et al. Self-management intervention for chronic pain in older adults: A randomised controlled trial. Pain 2013;154(6):824–835. [DOI] [PubMed] [Google Scholar]
- [26].Bair MJ, Ang D, Wu J, et al. Evaluation of stepped care for chronic pain (escape) in veterans of the Iraq and Afghanistan conflicts: A randomized clinical trial. JAMA Internal Medicine 2015;175(5):682–689. [DOI] [PubMed] [Google Scholar]
- [27].Soer R, Köke AJA, Vroomen PCAJ, Stegeman P, Smeets RJEM, Coppes MH, et al. Extensive validation of the pain disability index in 3 groups of patients with musculoskeletal pain. Spine 2013;38(9):38–39. [DOI] [PubMed] [Google Scholar]
- [28].Nicholas MK. The Pain Self-Efficacy Questionnaire: Taking pain into account. European Journal of Pain 2007;11(2):153–163. [DOI] [PubMed] [Google Scholar]
- [29].Edwards LC, Pearce SA, Turner-Stokes L, Jones A. The Pain Beliefs Questionnaire: An investigation of beliefs in the causes and consequences of pain. Pain 1992;51(3):267–272. [DOI] [PubMed] [Google Scholar]
- [30].McCracken LM, Hoskins J, Eccleston C. Concerns about medication and medication use in chronic pain. The Journal of Pain 2006;7(10):726–734. [DOI] [PubMed] [Google Scholar]
- [31].Tait RC, Chibnall JT. Development of a brief version of the Survey of Pain Attitudes. Pain 1997;70(2–3):229–235. [DOI] [PubMed] [Google Scholar]
- [32].Vowles KE, Rosser B, Januszewicz P, Morlion B, Evers S, Eccleston C. Everyday pain, analgesic beliefs and analgesic behaviours in Europe and Russia: An epidemiological survey and analysis. European Journal of Hospital Pharmacy: Science and Practice 2014;21(1):39. [Google Scholar]
- [33].Appelt CJ, Burant CJ, Siminoff LA, Kwoh CK, Ibrahim SA. Arthritis-specific health beliefs related to aging among older male patients with knee and/or hip osteoarthritis. J Gerontol A Biol Sci Med Sci 2007;62(2):184–190. [DOI] [PubMed] [Google Scholar]
- [34].Holden MA, Nicholls EE, Young J, Hay EM, Foster NE. Role of exercise for knee pain: What do older adults in the community think? Arthritis Care Res (Hoboken) 2012;64(10):1554–1564. [DOI] [PubMed] [Google Scholar]
- [35].Hurley MV, Walsh N, Bhavnani V, Britten N, Stevenson F. Health beliefs before and after participation on an exercised-based rehabilitation programme for chronic knee pain: Doing is believing. BMC Musculoskelet Disord 2010;11:31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [36].Weiner DK, Rudy TE. Attitudinal barriers to effective treatment of persistent pain in nursing home residents. J Am Geriatr Soc 2002;50(12):2035–2040. [DOI] [PubMed] [Google Scholar]
- [37].Austrian JS, Kerns RD, Reid MC. Perceived barriers to trying self-management approaches for chronic pain in older persons. J Am Geriatr Soc 2005;53(5):856–861. [DOI] [PubMed] [Google Scholar]
- [38].Palos GR, Mendoza TR, Cantor SB, Aday LA, Cleeland CS. Perceptions of analgesic use and side effects: What the public values in pain management. Journal of Pain and Symptom Management 2004;28(5):460–473. [DOI] [PubMed] [Google Scholar]
- [39].Makris UE, Higashi RT, Marks EG, Fraenkel L, Sale JE, Gill TM, et al. Ageism, negative attitudes, and competing co-morbidities--why older adults may not seek care for restricting back pain: a qualitative study. BMC Geriatr 2015;15:39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [40].Markotic F, Cerni Obrdalj E, Zalihic A, Pehar R, Hadziosmanovic Z, Pivic G, et al. Adherence to pharmacological treatment of chronic nonmalignant pain in individuals aged 65 and older. Pain Med 2013;14(2):247–256. [DOI] [PubMed] [Google Scholar]
- [41].Thielke S, Sale J, Reid MC. Aging: Are these 4 pain myths complicating care? J Fam Practice 2012;61(11):666–670. [PMC free article] [PubMed] [Google Scholar]
- [42].Dowell D, Haegerich TM, Chou R. CDC Guideline for prescribing opioids for chronic pain--United States, 2016. JAMA 2016;315(15):1624–1645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [43].McGuire BE, Nicholas MK, Asghari A, Wood BM, Main CJ. The effectiveness of psychological treatments for chronic pain in older adults: Cautious optimism and an agenda for research. Curr Opin Psychiatry 2014;27(5):380–384. [DOI] [PubMed] [Google Scholar]
- [44].Qaseem A, Wilt TJ, McLean RM, Forciea MA, Physicians CGCotACo. Noninvasive treatments for acute, subacute, and chronic low back pain: A clinical practice guideline from the American College of Physicians. Ann Intern Med 2017;166(7):514–530. [DOI] [PubMed] [Google Scholar]
- [45].Nicklas LB, Dunbar M, Wild M. Adherence to pharmacological treatment of non-malignant chronic pain: The role of illness perceptions and medication beliefs. Psychol Health 2010;25(5):601–615. [DOI] [PubMed] [Google Scholar]
- [46].Quicke JG, Foster NE, Ogollah RO, Croft PR, Holden MA. Relationship between attitudes and beliefs and physical activity in older adults with knee pain: Secondary analysis of a randomized controlled trial. Arthritis Care Res (Hoboken) 2017;69(8):1192–1200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [47].Ross S, Walker A, MacLeod MJ. Patient compliance in hypertension: Role of illness perceptions and treatment beliefs. J Hum Hypertens 2004;18(9):607–613. [DOI] [PubMed] [Google Scholar]
- [48].Boutevillain L, Dupeyron A, Rouch C, Richard E, Coudeyre E. Facilitators and barriers to physical activity in people with chronic low back pain: A qualitative study. PLoS One 2017;12(7):e0179826. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [49].Campbell R, Evans M, Tucker M, Quilty B, Dieppe P, Donovan JL. Why don’t patients do their exercises? Understanding non-compliance with physiotherapy in patients with osteoarthritis of the knee. J Epidemiol Community Health 2001;55(2):132–138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [50].Gunnarsdottir S, Serlin RC, Ward S. Patient-related barriers to pain management: The Icelandic Barriers Questionnaire II. J Pain Symptom Manage 2005;29(3):273–285. [DOI] [PubMed] [Google Scholar]
- [51].Hurley M, Dickson K, Hallett R, Grant R, Hauari H, Walsh N, et al. Exercise interventions and patient beliefs for people with hip, knee or hip and knee osteoarthritis: a mixed methods review. Cochrane Database Syst Rev 2018;4:CD010842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [52].Reid MC, Eccleston C, Pillemer K. Management of chronic pain in older adults. BMJ 2015;350:h532. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [53].Ankawi B, Kerns RD, Edmond SN. Enhancing motivation for change in the management of chronic painful conditions: A review of recent literature. Curr Pain Headache Rep 2019;23(10):75. [DOI] [PubMed] [Google Scholar]
- [54].Hill JC, Fritz JM. Psychosocial influences on low back pain, disability, and response to treatment. Phys Ther 2011;91(5):712–721. [DOI] [PubMed] [Google Scholar]
- [55].Mills SEE, Nicolson KP, Smith BH. Chronic pain: A review of its epidemiology and associated factors in population-based studies. Br J Anaesth 2019;123(2):e273–e283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [56].Rainville J, Smeets RJ, Bendix T, Tveito TH, Poiraudeau S, Indahl AJ. Fear-avoidance beliefs and pain avoidance in low back pain--translating research into clinical practice. Spine J 2011;11(9):895–903. [DOI] [PubMed] [Google Scholar]
- [57].Smeets RJ, Beelen S, Goossens ME, Schouten EG, Knottnerus JA, Vlaeyen JW. Treatment expectancy and credibility are associated with the outcome of both physical and cognitive-behavioral treatment in chronic low back pain. Clin J Pain 2008;24(4):305–315. [DOI] [PubMed] [Google Scholar]
- [58].Spinhoven P, Ter Kuile M, Kole-Snijders AM, Hutten Mansfeld M, Den Ouden DJ, Vlaeyen JW. Catastrophizing and internal pain control as mediators of outcome in the multidisciplinary treatment of chronic low back pain. Eur J Pain 2004;8(3):211–219. [DOI] [PubMed] [Google Scholar]
- [59].Groeneweg R, Haanstra T, Bolman CAW, Oostendorp RAB, van Tulder MW, Ostelo RWJG. Treatment success in neck pain: The added predictive value of psychosocial variables in addition to clinical variables. Scand J Pain 2017;14:44–52. [DOI] [PubMed] [Google Scholar]
- [60].Wideman TH, Sullivan MJ. Differential predictors of the long-term levels of pain intensity, work disability, healthcare use, and medication use in a sample of workers’ compensation claimants. Pain 2011;152(2):376–383. [DOI] [PubMed] [Google Scholar]
- [61].Horne M, Tierney S. What are the barriers and facilitators to exercise and physical activity uptake and adherence among South Asian older adults: A systematic review of qualitative studies. Prev Med 2012;55(4):276–284. [DOI] [PubMed] [Google Scholar]
- [62].Mudd-Martin G, Rayens MK, Lennie TA, Chung ML, Gokun Y, Wiggins AT, et al. Fatalism moderates the relationship between family history of cardiovascular disease and engagement in health-promoting behaviors among at-risk rural Kentuckians. J Rural Health 2015;31(2):206- [DOI] [PubMed] [Google Scholar]
- [63].Osokpo O, Riegel B. Cultural factors influencing self-care by persons with cardiovascular disease: An integrative review. Int J Nurs Stud 2019:103383. [DOI] [PubMed] [Google Scholar]
- [64].Powe BD, Finnie R. Cancer fatalism: The state of the science. Cancer Nurs 2003;26(6):454–465; quiz 466–457. [DOI] [PubMed] [Google Scholar]
- [65].Walker RJ, Smalls BL, Hernandez-Tejada MA, Campbell JA, Davis KS, Egede LE. Effect of diabetes fatalism on medication adherence and self-care behaviors in adults with diabetes. Gen Hosp Psychiatry 2012;34(6):598–603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [66].Sullivan MJ, Ward LC, Tripp D, French DJ, Adams H, Stanish WD. Secondary prevention of work disability: Community-based psychosocial intervention for musculoskeletal disorders. J Occup Rehabil 2005;15(3):377–392. [DOI] [PubMed] [Google Scholar]
- [67].Wertli MM, Rasmussen-Barr E, Held U, Weiser S, Bachmann LM, Brunner F. Fear-avoidance beliefs-a moderator of treatment efficacy in patients with low back pain: A systematic review. Spine J 2014;14(11):2658–2678. [DOI] [PubMed] [Google Scholar]
- [68].Magadza C, Radloff SE, Srinivas SC. The effect of an educational intervention on patients’ knowledge about hypertension, beliefs about medicines, and adherence. Res Social Adm Pharm 2009;5(4):363–375. [DOI] [PubMed] [Google Scholar]
- [69].Meeker MA, Finnell D, Othman AK. Family caregivers and cancer pain management: A review. J Fam Nurs 2011;17(1):29–60. [DOI] [PubMed] [Google Scholar]
- [70].Lee BO, Liu Y, Wang YH, Hsu HT, Chen CL, Chou PL, et al. Mediating effect of family caregivers’ hesitancy to use analgesics on homecare cancer patients’ analgesic adherence. J Pain Symptom Manage 2015;50(6):814–821. [DOI] [PubMed] [Google Scholar]
- [71].Letizia M, Creech S, Norton E, Shanahan M, Hedges L. Barriers to caregiver administration of pain medication in hospice care. J Pain Symptom Manage 2004;27(2):114–124. [DOI] [PubMed] [Google Scholar]
- [72].Chi NC, Demiris G. Family caregivers’ pain management in end-of-life care: A systematic review. Am J Hosp Palliat Care 2017;34(5):470–485. [DOI] [PubMed] [Google Scholar]
- [73].Sullivan MD, Howe CQ. Opioid therapy for chronic pain in the United States: Promises and perils. Pain 2013;154 Suppl 1:S94–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [74].Denneson LM, Corson K, Dobscha SK. Complementary and alternative medicine use among veterans with chronic noncancer pain. J Rehabil Res Dev 2011;48(9):1119–1128. [DOI] [PubMed] [Google Scholar]
- [75].Lozier CC, Nugent SM, Smith NX, Yarborough BJ, Dobscha SK, Deyo RA, et al. Correlates of use and perceived effectiveness of non-pharmacologic strategies for chronic pain among patients prescribed long-term opioid therapy. J Gen Intern Med 2018;33(Suppl 1):46–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [76].Nguyen AL, Lake JE, Reid MC, Glasner S, Jenkins J, Candelario J, et al. Attitudes towards exercise among substance using older adults living with HIV and chronic pain. AIDS Care 2017;29(9):1149–1152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [77].Ambrose KR, Golightly YM. Physical exercise as non-pharmacological treatment of chronic pain: Why and when. Best Pract Res Clin Rheumatol 2015;29(1):120–130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [78].Giannitrapani K, McCaa M, Haverfield M, Kerns RD, Timko C, Dobscha S, et al. Veteran experiences seeking non-pharmacologic approaches for pain. Mil Med 2018;183(11–12):e628–e634. [DOI] [PubMed] [Google Scholar]
- [79].Selby S, Hayes C, O’Sullivan N, O’Neil A, Harmon D. Facilitators and barriers to green exercise in chronic pain. Ir J Med Sci 2019;188(3):973–978. [DOI] [PubMed] [Google Scholar]
- [80].Horne R, Weinman J. Patients’ beliefs about prescribed medicines and their role in adherence to treatment in chronic physical illness. J Psychosom Res 1999;47(6):555–567. [DOI] [PubMed] [Google Scholar]
- [81].Chou R, Fanciullo GJ, Fine PG, Adler JA, Ballantyne JC, Davies P, et al. Clinical guidelines for the use of chronic opioid therapy in chronic noncancer pain. J Pain 2009;10(2):113–130. [DOI] [PMC free article] [PubMed] [Google Scholar]