Skip to main content
Journal of Pain Research logoLink to Journal of Pain Research
. 2019 Dec 11;12:3279–3297. doi: 10.2147/JPR.S222448

Development And Early Feasibility Testing Of A Mind-Body Physical Activity Program For Patients With Heterogeneous Chronic Pain; The GetActive Study

Jonathan Greenberg 1,2, Ann Lin 1, Emily L Zale 1, Ronald J Kulich 2,3, Peter James 2,4, Rachel A Millstein 1,2, Hannah Shapiro 5, Michael E Schatman 6,7, Robert R Edwards 2,8, Ana-Maria Vranceanu 1,2,
PMCID: PMC6912090  PMID: 31849515

Abstract

Background

Increasing physical function is a challenging, yet imperative goal of pain management programs. Physical activity can improve physical function, but uptake is low due to chronic pain misconceptions, poor pain management skills, and doing too much too soon.

Purpose

To increase physical function by 1) adapting an evidence-based, group, mind-body program to address the needs of patients with heterogeneous chronic pain and to facilitate individually tailored quota-based pacing with a Fitbit (GetActive with Fitbit) or without it (GetActive) (phase 1), and 2) assessing preliminary feasibility benchmarks (phase 2).

Methods

We followed evidence based frameworks for developing interventions and for early feasibility testing. In phase 1 we conducted 4 focus groups with 22 patients with heterogeneous chronic pain and adapted the mind-body program. In phase 2 we conducted a nonrandomized pilot trial of the 2 programs (N=7 and 6) with qualitative exit interviews.

Results

Focus groups showed high interest in increasing activity, a preference for walking linked to pleasurable activities, using a Fitbit to track number of steps, and learning skills to manage pain and aid with increased activity. Both programs had good to excellent feasibility markers. Participation in both programs was associated with signal of improvements in physical and emotional function, as well as intervention targets. Exit interviews confirmed high satisfaction and suggested modification.

Conclusion

Results informed subsequent adaptations of the 2 programs and methodology for an ongoing pilot randomized controlled trial (RCT) of the 2 programs, necessary before an efficacy RCT of the 2 programs against an education control.

Keywords: mind-body, chronic pain, fitbit, physical activity, focus groups, feasibility, physical function

Introduction

Chronic pain, defined as persistent pain that lasts more than 3–6 months,1 is prevalent,2 costly,2 and associated with decreased physical and emotional function.3 Over the last decade, mind-body (e.g. meditation and mindful-movement based) programs have been increasingly popular among patients with chronic pain, and have been shown to lead to improvements in anxiety, depression, and acceptance of symptoms.4 However, effect sizes for improvements in self-reported emotional46 and physical functioning68 have been small to moderate, and tended to dissipate over time.46,8 Existent mind-body interventions do not incorporate systematic gains in physical activity despite its positive effects on emotional and physical function. Thus, there is a need for novel interventions that incorporate mind-body and physical activity skills in order to sustainably and substantially improve emotional and physical function among patients with chronic pain. The importance of comprehensive assessment of physical function has recently been specifically emphasized. The Recent Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT)9 and International Classification of Functioning, Disability and Health (ICF)10 guidelines, as well as a recent review of mind-body interventions for chronic pain11 clearly specify that physical function should be comprehensively assessed by combining self-report, performance-based (e.g., walk test), and objective (e.g., accelerometer) measures in order to better understand effects of interventions and also improve overall efficacy and effect sizes. However, no chronic pain clinical trials to date comply.11 There is therefore a need for comprehensive assessments of physical function among patients with chronic pain.

Physical activity is an important target for patients with chronic pain, who tend to be sedentary, deconditioned, and thus at risk for further pain conditions and disability.12 Moreover, such sedentariness negatively impacts patients’ mood, motivation, emotional function, and mental health.13,14 Walking – the preferred physical activity modality in chronic pain patients15 – is efficacious in improving self-reported function, particularly when quota-based (i.e. when activity is dependent on a given quota rather than dependent on pain levels1618), although uptake and adherence are problematic.12,19 Activity monitoring devices such as Fitbit provide the user with feedback about their level activity and progress, and present an opportunity to actively reinforce the patient in incremental quota-based gains tailored to each patient’s ability, thereby facilitating physical activity.20 Such devices are showing promising use in patients with chronic illness,21,22 including initial reports of effectiveness among patients with chronic pain.23,24 Our guiding hypothesis is that the most effective and efficient way to sustainably increase emotional and physical function among chronic pain patients is by 1) gradual and quota contingent increases in activity (walking) paired with re-engagement in activities of daily living; 2) monitoring and reinforcing quota contingent activity goals (number of steps) with a digital activity monitoring device (Fitbit)), and 3) teaching mind-body skills to manage pain, and target barriers to engaging in physical activity.

The goal of this paper is to set the stage for a future fully powered efficacy RCT to test our guiding hypothesis. Here, we report on a 2-phased study informed by the National Institute of Health (NIH) stage model for behavioral intervention development,25 National Institute of Complementary and Integrative Health (NCCIH) model for developing and testing mind-body intervention,26 and recent recommendations for early feasibility testing.27,28 In phase 1, we conducted focus groups to with the aim of informing adaptation of the 8-session mind-body Relaxation Response Resiliency Program (3RP)29 and developing the GetActive and GetActive with Fitbit programs, including treatment manuals and study procedures. The 3RP program was chosen specifically due to its demonstrated efficacy30 and its multimodal structure (e.g. including relaxation response, coping, CBT, and positive psychology skills), which has significant benefits over unimodal programs.31 In phase 2, we conducted a nonrandomized pilot trial with exit interviews of the GetActive and GetActive with Fitbit programs with the aim of exploring feasibility markers and within group improvements on physical function and other relevant outcomes, to inform additional modifications before future phases of the study - phase 3 (RCT of GetActive versus GetActive with Fitbit) and phase 4 (efficacy RCT of GetActive versus GetActive with Fitbit versus health education control).

Phase 1: Development Of The GetActive And GetActive With Fitbit Programs

Methods

First, our multidisciplinary team with expertise in chronic pain, mind-body medicine, and physical activity modified the 3RP manual29 to target the needs of patients with chronic pain.32,33 The 3RP teaches relaxation response (e.g., diaphragmatic breathing, mindfulness), stress awareness and coping (e.g., adaptive thinking, acceptance), and positive psychology (e.g., humor, optimism) skills. We also proposed new pain specific skills including a discussion on the rationale and practice of quota-based, non pain contingent increases in activity using time goals (GetActive) and step counts (GetActive with Fitbit). Further we added behavioral activation techniques (e.g. identifying and scheduling physical activities that are achievable for the patient; targeting motivation34) and paired increased activity with reengagement in activities of daily living (e.g. increasing step count via activities such as walking to the grocery store or commuting home). Next, we developed a semi-structured qualitative interview script to gauge participants’ views on the challenges of living with chronic pain, perception of the proposed modifications of the 3RP skills, perception of the additional proposed skills targeting pain, physical activity, emotional and physical functioning, and barriers and facilitators for Fitbit use and program participation.

Participants And Recruitment

Twenty-two adults with chronic pain participated in four focus groups (N=2-9 each). Participants were recruited between September 2017 and January 2018, primarily via the Pain Clinic at the Massachusetts General Hospital, through direct referrals from study staff, and through flyers distributed through a hospital-wide email advertising clinical research. Interested participants were screened over the phone by a trained research assistant. Inclusion criteria were: 1) age ≥ 18; 2) nonmalignant musculoskeletal pain for more than 3 months; 3) able to perform a 6 min walk test;35 4) own a smartphone with Bluetooth 4.0 or computer; 5) on a stable dose of psychotropic or pain medication and willing to maintain a stable dose. Exclusion criteria were: 1) medical illness expected to worsen in the next 6 months; 2) serious psychiatric illness (untreated schizophrenia, active suicidality); 3) current substance use disorder; 4) practice of yoga/meditation once per week for 45 mins or more within the last 3 months; and 5) regular physical exercise for >30 min daily. The latter two exclusion criteria were chosen to ensure that participants interviewed would be similar to those who will participate in the intervention, thus eliminating confounds. All screenings were reviewed by a clinical psychologist. Of the 86 participants screened, 39 did not meet study criteria, 16 had scheduling difficulties, and 9 dropped prior to enrollment. All participants provided written informed consent prior to the focus groups. All study procedures were approved by the Institutional Review Board of Massachusetts General Hospital, and all procedures were in compliance with the Declaration of Helsinki. Study procedures are further detailed in Figure 1.

Figure 1.

Figure 1

Phase 1 procedure.

Focus Groups

The interview focused on 4 major areas: 1) challenges of living with chronic pain, 2) perception of modified 3RP specific skills to address needs of patients with chronic pain, 3) perception of additional skills targeting activity, emotional and physical functioning, and 4) barriers/facilitators for Fitbit use and program participation. Interviews lasted 40–60 mins depending on the size of each group and were audio-recorded. Groups were led by clinical health psychologists with expertise in treating individuals with chronic pain. At the end of each group participants completed a demographic questionnaire (Table 1). Each participant was reimbursed $20 for participation.

Table 1.

Demographic And Clinical Patient Characteristics Of Participants In Focus Groups And Open Pilot Groups

Focus Groups n=22 Open Pilot: GetActive n=6 Open Pilot: GetActive With Fitbit n=7
M (SD) M (SD) M (SD)
Age 49.7 (17.8) 46.7 (15.0) 41.6 (14.5)
Overall pain (scale 1–10) 7.3 (2.1)
Pain at rest (scale 1–10) 5.2 (2.2) 5.3 (2.3)
Pain with activity (scale 1–10) 6.7 (1.5) 7.6 (1.8)
N (%) N (%) N (%)
Gender
 Male 9 (40.9%) 2 (33.3%) 1 (14.3)
 Female 13 (59.1%) 4 (66.7%) 6 (85.7%)
Ethnicity
 Hispanic or Latino/Latina 5 (22.7%) 3 (50.0%) 1 (14.3%)
 Not Hispanic or Latino/Latina 17 (77.3%) 3 (50.0%) 6 (85.7%)
Race
 American Indian/Alaskan Native 1 (4.5%) 0 (0.0%) 0 (0.0%)
 Asian 2 (9.1%) 2 (33.3%) 1 (14.3%)
 Black/African American 0 (0.0%) 0 (0.0%) 1 (14.3%)
 Native Hawaiian/Pacific Islander 0 (0.0%) 0 (0.0%) 0 (0.0%)
 White 14 (63.6%) 2 (33.3%) 4 (57.1%)
 More Than One Race 2 (9.1%) 2 (33.3%) 1 (14.3%)
 Choose Not to Answer 3 (13.6%) 0 (0.0%) 0 (0.0%)
Marital Status
 Single, never married 4 (18.2%) 2 (33.3%) 4 (57.1%)
 Living with someone 4 (18.2%) 0 (0.0%) 0 (0.0%)
 Married 10 (45.5%) 2 (33.3%) 2 (28.6%)
 Divorced 2 (9.1%) 2 (33.3%) 1 (14.3%)
 Separated 1 (4.5%) 0 (0.0%) 0 (0.0%)
 Widowed 1 (4.5%) 0 (0.0%) 0 (0.0%)
Education
 High school (12 years) 0 (0.0%) 1 (16.7%) 2 (28.6%)
 Some college/Associates degree (<16 years) 12 (54.5%) 0 (0.0%) 2 (28.6%)
 Completed college (16 years) 2 (9.1%) 1 (16.7%) 2 (28.6%)
 Graduate/professional degree (>16 years) 8 (36.4%) 4 (66.7%) 1 (14.3%)

Analysis Plan

We used guidelines for qualitative data analyses that focused on a framework approach with the goal of minimizing bias.36,37 The framework approach is a method of qualitative data analysis which involves the indexing of thematic content into categories, which are then used to compare and contrast the content and draw descriptive conclusions.38 Study staff transcribed all recordings which were subsequently independently checked by an additional staff member. Next, we identified themes and developed a coding structure. Two additional staff members not involve in the development of the coding structure independently coded the data using NVivo 11.39 Whenever the data did not fit an existing code, new ones were added. Discrepancies were resolved through consensus between the coders and feedback from study staff with expertise in qualitative methods. A kappa coefficient was calculated to determine coding precision.

Results

The Kappa index for coding was high (0.76), indicating high consensus between raters. Coding yielded 4 major themes (bolded) and 9 subthemes (italicized). Table 2 provides further details about the themes and subsequent adaptations to the program manual.

Table 2.

Themes From Focus Groups

Theme Sub-Theme Quotes Example Of Subsequent Changes To Manual Based On Quote
Challenges of Living with Chronic Pain Physical functioning “I feel like a lot of fatigue comes with it… on good days where I feel like I don’t have a lot of pain, I’m still tired from compensating for when I had to do things with pain. Or maybe I’ll be functional but I’ll be afraid to overexert myself because then I might have to pay for it the next week.” Include a specific emphasis on increasing activities and minding activity pacing while performing everyday function tasks (session 2)
Social functioning “It’s not only me that’s dealing with the chronic pain, it’s also my children, my wife, my coworkers, my friends.”
“The problem is that chronic pain is not visual.”
“People that don’t see something hurting don’t understand it. They don’t comprehend it.”
An increased focus devoted to social support and relationships in chronic pain (session 3)
Emotional functioning “I’m still working through the panic attack that I had from the pain.” Targeting emotional reactions to pain (sessions 3, 6, 7)
Perception of Mind-Body 3RP Specific Skills to Address Needs of Patients with Chronic Pain Positively perceived mind-body skills “I think as chronic pain sufferers, if we set a reward at the end of the goal … it makes you want to drive to get it.”
“There are definitely times when I feel like I can power through some of my back pain and neck pain with mindfulness activities.”
“We have pain, it’s hard enough. Put your efforts towards someone else. And your own self reward will come back to you and build you up higher, knowing that, ‘Yeah, I’m in pain, but I’m able to do something to help somebody else.’”
None
Negatively perceived mind-body skills “[Deep breathing] is very difficult when you’re out in public. I’m able to use it at home, in private. But when I’m out in public … sometimes I forget because the pain just strikes so hard.”
“For me, I don’t think [meditation/mindful awareness] would help because I associated mindfulness relaxation with relaxing, not moving… lying down on the floor, sitting on a chair with my eyes closed is not going to help me feel better.”
Emphasis on “Minis” and opportunities for short bouts of practice throughout the day (eg when waiting at a doctor’s office; session 2); cultivating mindfulness while being active or (session 4)
Perception of Additional Skills Targeting Emotional and Physical Functioning Pain-specific skills “I don’t have great body awareness… I had injuries first that I didn’t take care of right away because I wasn’t very good at figuring out body awareness. So, it was sort of things like… is this a good sort of pain? Did I overexert myself? And that’s something I still have trouble with… my own activity has sort of slowed down because I can’t really tell if I’m having like beneficial sort of sensations from it.”
“I just want to get back to being somewhat normal, physically.”
“It might not make the pain go away at all, but I feel like being able to work through it or walk through it and still be active without feeling like it’s going to come back and bite you, I feel like that’s what I would look for or expect.”
Emphasis on body awareness (session 2) and cultivating mindfulness of pain (session 3)
Physical activity skills “The past year I’ve restricted myself so bad that I’m too scared to do anything, so … I just basically don’t.”
“Maybe I’ll walk faster to the parking garage, and then I’ll have the worst joint pain when I get home. I don’t know how to even manage that.”
Providing more detail on activity pacing (session 2) and activity limitation due to misconceptions such as “hurt always means harm” (session 1)
Barriers and Facilitators Using a Fitbit “I have enough trouble charging everything else that has to be charged.”
“Every time it reminds me, ‘Oh, you haven’t got enough steps, you have to do this,’ it’s always on the list of your every day schedule… and you always set it less priority. And it stays there for a long time, and you get really frustrated.”“The Fitbit is a reminder, it’s something in your face. We’re … creatures of habit, we need to see something that makes us go.”
Added detail of Fitbit, emphasis on making a specific plan to remember to wear, sync, and change Fitbits (Session 1)
Program participation “I’m limited because I don’t drive now … and it’s difficult to get a ride.”
“I would be interested in in-person … because it gives me an excuse to get out of the house.”
“So to have to come here to attend a session—that would be tough … just ‘cause of the travel issues … whereas online you can just do it anywhere.”
Emphasis on motivation factors, link between attendance and potential benefit from program (session 1)

Theme #1: Challenges Of Living With Chronic Pain

Social functioning. Most participants reported that their chronic pain affects their loved ones and impairs their own social functioning. They felt disconnected and misunderstood by others, who may not be aware of their pain. Participants expressed a wish to re-strengthen and restore their relationships.

Physical functioning. Participants noted inactivity/significant reduction in activities due to pain and associated physical symptoms such as exhaustion. They reported that their chronic pain significantly interferes with their ability to keep a job, engage with family or friends, and impacts their performance at work due to impaired concentration or frequent absenteeism.

Emotional functioning. Many participants reported feeling overwhelmed, anxious, and depressed due to pain. They also felt frustrated about the medical system and noted that their pain management needs are unmet (e.g., insurance companies not covering their preferred treatments, medical providers unable or unwilling to offer useful treatment, being told to “get over it,” and being dismissed from care). Some participants reported feeling that their doctors invalidate their experiences, are unable to understand them, or set unrealistic expectations.

Theme #2: Perception Of The Modified 3RP Specific Skills To Address Needs Of Patients With Chronic Pain

The majority of participants liked the modified 3RP skills. Participants appreciated the provided rationale for using these skills to improve pain management and reported their interest in learning these skills themselves. Several participants noted that they had been or were currently intermittently using some of the 3RP strategies, such as gratitude, humor, and optimism, as well as practices such as deep breathing and meditation. They noted these skills as being helpful and associated with improvement in pain, relaxation, and motivation. However, many noted challenges adhering to these skills (e.g. finding time to practice) and reported their belief that the group setting would help with motivation. They were receptive to pain specific meditations and learning to use these skills consistently to manage pain. Other skills, such as goal setting, were also perceived as helpful means to increase motivation and adherence over time. A minority of participants, however, expressed some reluctance, as they associated mind-body skills with inactivity or laziness. Other participants shared concerns about the logistics of practicing these skills in public.

Theme #3: Perception Of Additional Skills Targeting Emotional And Physical Functioning

Pain specific skills. Participants indicated that understanding the disability spiral, myths about pain (e.g., harm versus hurt), learning quota-based (non-pain contingent) pacing, the use of metaphors such as “the true pain alarm” (i.e. when pain signifies damage) vs the “false pain alarm” (i.e. when it does not) and setting specific goals toward increasing activity can all be useful tools to help manage their pain and become more physically active regardless of pain. Participants reported that they expected these new skills to better enable them to tend to their day-to-day activities despite the pain, rather than eliminate their pain altogether.

Physical activity skills. Generally, participants reported being sedentary, and indicated fear of exacerbating pain as a primary motive for avoiding activity. They reported continuously restricting their activities and the heavy toll associated with these restrictions. Several participants attempted to be active, primarily through walking, but noted immediate discouragement due to increased pain. All participants noted increased activity during the “good days,” and then needing to rest the following day(s) because of activity-related pain. Despite these challenges, most participants preferred walking as a primary mode of physical activity, although a minority of participants reported interest in other activities, such as aquatic exercise. The provided rationale for using pacing and quota-based, non-pain contingent increases in walking paired with re-engagement in daily activities made sense to participants.

Theme # 4: Barriers And Facilitators

Using a Fitbit. Participants noted an understanding of the rationale behind using a Fitbit to help them gradually increase their daily steps while learning to pace themselves. They described their desire to meet a predetermined step goal, and to develop a habit of wearing the Fitbit and incorporate it into their normal routines. Participants noted two barriers to engaging with the Fitbit: forgetting to charge it and forgetting to wear it. They noted that having a concrete plan for when to charge their Fitbit (e.g., while taking a shower) as well as reminders to wear it would help adherence. They also agreed that receiving reminder phone calls from study staff and checking their progress on their phones would help increase both adherence and motivation.

Program participation. Participants identified several barriers to participation, including burden of travel to the clinic, challenges finding parking, cost of parking, distance of clinic to the closest train station, and scheduling conflicts. Several participants noted an increased challenge with both attendance and activity during the winter months in New England. Participants also identified several facilitators to program participation, such as the interactive nature of the group setting, the opportunity to leave their houses, and optimism regarding the program’s potential to help them better manage their pain and increase their ability to engage in activities that they enjoyed prior to the onset of their chronic pain.

Phase 2: Open Pilot Studies

Methods

Participants And Recruitment

Recruitment took place between January and April 2018 via the same methods described in Phase 1. Inclusion criteria were identical to those of phase 1, with an additional criterion requiring the ability to participate in 8 in-person group treatment sessions. We also excluded participants who used a Fitbit tracker in the past 3 months. A total of 13 participants enrolled (Figure 2 and Table 1). The first six participated in the GetActive program and the next seven in the GetActive with Fitbit program. All participants provided written informed consent prior to participation. All study procedures were approved by the Institutional Review Board of Massachusetts General Hospital, and all procedures were in compliance with the Declaration of Helsinki. Study procedures are further detailed in Figure 3.

Figure 2.

Figure 2

Participant flow; Phase 2.

Figure 3.

Figure 3

Phase 2 procedure.

Procedure For GetActive And GetActive With Fitbit

A research assistant scheduled the consent and assessments for all participants. A clinician described the study in detail and performed consent procedures. After consent was provided, participants completed study questionnaires in person, as a group. A research assistant was available to answer questions and check that all questions were answered. The research assistant also performed the 6 min walk test.35 At the end of the 2 hr assessment session, participants received a wGT3X-BT ActiGraph accelerometer (Pensacola, FL, USA) to wear daily for 1 week, wear instructions (including no changes in routine activities), and were asked to keep a wear time log. The research assistant called participants daily with reminders to wear the ActiGraphs and help problem solve issues in real time. Participants returned the ActiGraphs and the logs the following week, which coincided with Session 1 of the group program. At the end of the program (week 8), participants were asked to wear the ActiGraphs again for one week, following the same guidelines previously described. They returned for the final assessment session a week later, during which they completed the post intervention questionnaires, the 6 min walk test, and exit interviews.

Additional Procedural Steps For GetActive With Fitbit

The research assistant downloaded the ActiGraph data while the study clinician delivered the first group session, and prepared individual Fitbit accounts with individual steps counts. Step goals for each participant were determined based on predefined criteria (see GetActive and GetActive with Fitbit programs section below). At the end of the GetActive with Fitbit group session, the research assistant paired each participant’s phone with the Fitbit. During each of the subsequent group visits, the research assistant manually programed steps goals directly into each participant’s Fitbit using the same criteria.

GetActive And GetActive With Fitbit Programs

The two 8-session weekly programs retained the core components of the 3RP,29 modified for pain: 1) elicitation of the relaxation response (RR) through general, pain and activity-specific meditations; 2) reducing overall reactivity to stress and pain through adaptive thinking and acceptance-based techniques, and 3) increasing connectedness to self and others generally and when in pain through social support and positive psychology skills, as well as the emphasis on home practice (adaptive goal setting: “SMART goals”; defined as goals that are specific, measurable, attainable, relevant, and time-based”),29 daily RR practice and appreciations.

We also added 5 components: 1) education regarding myths about chronic pain and activity to help participants challenge their ingrained misconceptions regarding pain and activity 2) the “true versus false pain alarm skill,” to help participants understand the difference between harmful pain (e.g., acute pain, new injury), and non-harmful pain (e.g., chronic pain which is not indicative of current physical damage); 3) quota-based, non-pain contingent activity pacing, to help them gradually increase activity; 4) behavioral activation (e.g., reengagement in meaningful activities of daily living) paired with quota based pacing based increases in activity; 5) challenging misconceptions around mindfulness meditation (Table 3).

Table 3.

GetActive With Fitbit Session Topics And Skills

Session Topic Skills
1 Pain Management, Stress Management, and Resiliency Training Pain myths; body awareness; setting activity SMART goals; quota-based activity pacing; using a Fitbit (for GetActive with Fitbit group)
2 Relaxation Skills to Manage the Pain Alarm Activity barriers; adherence to Fitbit; pairing steps with activities of daily living; relaxation vs stress response; deep breathing; sleep; meditation
3 Stress and Symptom Awareness for Chronic Pain Patient Mindful awareness; stress warning signals; social support; the pain cycle
4 Mending the Chronic Pain Mind and Body Pairing Activity, with mind-body skills; negative automatic thoughts and adaptive thinking
5 Creating an Adaptive Perspective Guided imagery; healthy eating; "stop, breathe, reflect, choose" and links to chronic pain
6 Promoting Positivity Loving kindness meditation; optimistic storytelling; relaxation signals; healthy habits and links to chronic pain
7 Healing States of Mind Problem solving and acceptance; empathy and compassion; contemplation and how they help with pain management and activity.
8 Humor, Empathy and Staying Resilient Humor and laughter; staying resilient for pain management; overview of resiliency skills

For the GetActive with Fitbit group, we used the Fitbit’s step-count to assess weekly physical activity, determine participants’ pacing plans, and set weekly activity SMART goals. Each week, steps were assessed over 5-day blocks. After the ActiGraph-monitored baseline step-count was determined, participants set this count as their initial step goal, which was uploaded onto the Fitbit. Participants had to reach their goal, on average, by the day of the session. We excluded the highest and lowest step-count days. Patients were allowed 2 “rest days” per week. Missed samples or days on which patients forgot to charge or wear their devices were counted as rest days. If participants met the 5-day goal criterion, they were given the option of repeating their step goal the following week or increasing their step goal by 10%. Participants paired their Fitbits with their smartphones, which automatically downloaded data on a daily basis. A staff member calculated patients’ upcoming step goals and provided the study clinician with individual adherence data for each participant, used when discussing homework adherence and to set homework including new step goals. In the GetActive program, participants’ physical activity levels were assessed via activity logs. We calculated their corresponding pacing plans and SMART goals based on time spent being physically active or distance walked, based on individual patient preference.

Feasibility And Acceptability Assessments

Assessment milestones were set a priori and were based on guidelines for feasibility studies.40,41 Feasibility of recruitment was assessed by determining the proportion of contacted patients who agreed to participate. A feasibility rate of 80% was considered excellent and 70% was considered good. Program acceptability was calculated by reporting the proportion of participants who attended 6 out of 8 treatment sessions. Feasibility was considered excellent when at least 70% participants attended at least 6 of the 8 planned treatment sessions (75%). Therapist adherence to the manual was determined via checklists. An adherence rate of 100% was considered excellent and 75% good. Feasibility of quantitative measures was deemed acceptable if no questionnaires were fully missing in more than 25% participants, and if reliability was higher than 0.70. Adherence to homework and activity were assessed via number of logs turned in by participants over the course of the study, and via reaching SMART goals and frequency of reported RR practice and appreciations. Adherence was deemed excellent if participants had at least 3 to 4 out of 7 days of completed homework (RR practice, SMART goal activity, and appreciations) OR at least 5 out of 7 days for one of the 3 components, by at least 80% of participants. Adherence was deemed good if at least 3 to 4 out of 7 days of completed homework (RR practice, SMART goal activity and appreciations) OR at least 5 out of 7 days for one of the 3 components, by at least 70% participants. ActiGraph adherence was assessed via daily wear of ActiGraph accelerometer (minimum 7 hrs/day) at baseline and post intervention assessments. Adherence was deemed excellent if data were successfully collected at least 5 out of 6 days a week (>7 wear hours a day; excluding the days participants received and returned the ActiGraphs), from at least 80% of participants during the pre- and post-assessments. Adherence was deemed good if data were collected from at least 70% of participants. Fitbit adherence was assessed via daily wear of a charged device for the GetActive with Fitbit group. Adherence to Fitbit was deemed excellent if data were collected from at least 5 of 7 days from at least 80% of participants and good if collected from 70% of participants. Satisfaction with the program was assessed via the Client Satisfaction Questionnaire (CSQ-3)42 and was determined by the percentage of participants scoring above the scale midpoint (≥75% excellent; ≥ 70% good).

Physical Function Assessments

Objective Physical Function/Physical Activity

During baseline and post-program testing, all participants wore a wGT3X-BT ActiGraph accelerometer (Pensacola, FL, USA) for 7 days to determine baseline average number of daily steps. An increase of 1000 steps is considered a minimally clinical important difference (MCID).43

Performance-Based Physical Function

We used the 6 min walk test,44 which measures the distance participants walk for 6 mins. The MCID in walking distance is 54 m.44

Patient-Reported Physical Function

We measured self-reported physical function with the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function, v.1.2.8b45 which assesses one’s ability to perform activities ranging from self-care (activities of daily living) to more complex activities requiring a combination of skills, often within a social context. The MCID for this measure is 8.46 We additionally used the World Health Organization Disability Assessment Schedule (WHODAS) 2.0,47 a 36-item questionnaire assessing functional difficulties in various domains (e.g., understanding and communicating, getting around, self-care, getting along with people, life activities, and participation in society). Internal reliability in the current sample was good (Cronbach’s alpha=0.81–0.87) for the PROMIS and excellent (0.95–0.96) for the WHODAS. There is no MCID available for WHODAS. We used both measures in order to be able to compare their respective sensitivity in preparation for a future RCT.

Self-Reported Physical Activity Scale For Individuals With Physical Disabilities (PASIPD)48

A 13-item questionnaire which assesses engagement in leisure, household, and work activities of varying intensities for the past 7 days. This measure has established validity, with low-to-moderate Cronbach’s alpha values (0.37-0.65) within each of its five factors due to the small number of items in each factor.48 There is no MCID available for this measure.

Emotional Function

We assessed emotional function with the PROMIS depression v1.0.8b49 as well as the PROMIS anxiety, v1.08a.50 The MCID for PROMIS depression is 5.19 and for PROMIS anxiety is 4.28.51 Internal reliability for both measures in the current sample was excellent (Cronbach’s alpha=0.87–0.96 for depression, 0.93–0.96 for anxiety).

Other Patient-Reported Assessments

While our main quantitative outcomes, which we will test in the future efficacy RCT are emotional and physical function, at this stage it is important to test other variables that assess constructs that are directly targeted by the program, which may be mediators in a future RCT and will inform about the mechanisms of improvement. We used the following additional measures (MCID indicated when available):

Pain. We used the Numerical Rating Scale (NRS);52,53 11-point Likert scale, with “0” representing no pain and “10” representing the worst pain possible, during rest and activity. A 1-point change is considered the MCID for patients with musculoskeletal pain.54

Social isolation was assessed via the PROMIS Social Isolation short form (4a),55 a 4-item questionnaire assessing perceptions of being avoided, excluded, detached, disconnected from, or unknown by, others. Internal reliability (Cronbach’s alpha) for this measure was 0.60–0.82.

Mindfulness was assessed by the Cognitive and Affective Mindfulness Scale- Revised (CAMS-R),56 a 12-item self-report measure of the frequency with which patients use mindfulness behaviors (e.g., noticing thoughts without judgement) in their daily lives. Items are scored on a 4-point Likert scale, with “0” representing “rarely/not at all” and “3” representing “almost always”. Internal reliability (Cronbach’s alpha) for this measure was 0.63–0.77.

Emotional support was assessed via the PROMIS emotional support (4a),57 a 4-item questionnaire measuring perceived feelings of being cared for and valued as a person and having close relationships. This measure had excellent internal reliability in the current sample (Cronbach’s alpha=0.94–0.97).

Coping. Coping was assessed using (1) the Pain Catastrophizing Scale (PCS),58 which assesses hopelessness, helplessness and rumination about pain; (2) the Tampa Kinesiophobia Scale (TSK),59 which assesses fear of pain and activities that cause pain, and the Measure of Current Status (MOCS),60 which assesses ability to engage in a series of healthy coping skills (e.g., relaxation, social support, adaptive thinking). Internal reliability was found to be excellent (Cronbach’s alpha=0.93–0.94) for the PCS, good (0.77–0.87) for the TSK, and acceptable (0.71–0.77) for the MOCS.

Perceived Improvement was assessed with the Modified Patient Global Impression of Change (MPGIC),61 in which participants assessed on a 7-point Likert scale (with 1 representing “very much improved”) and “7” representing “very much worse” the extent to which they perceived that the intervention improved their pain, physical activity, physical function, emotional function, pain resiliency, and the degree to which the Fitbit helped to increase their activity (for the GetActive with Fitbit group). The rationale for using all of these measures concurrently is to help determine which the assessments best capture the effects of the program, and should be included in the future feasibility and efficacy RCTs.

Exit Interviews

Following program completion, participants participated in semi-structured group-based exit interviews to assess their views on program components feasibility. All participants agreed to maintain confidentiality. Interviews lasted ~60 mins and were audio-recorded, with an emphasis on the importance of honest feedback to enable program optimization.

Analysis Plan

Consistent with common guidelines for feasibility studies,27 we did not test efficacy or perform between-group analyses. Rather, we limited our quantitative analyses to descriptive statistics for each quantitative measure, as well as within-group pre-post comparisons using paired t-tests and Cohen’s D effect sizes (ES) to broadly gauge for potential signals of improvement. To verify results of these comparisons due to the low sample size, we additionally conducted the non-parametric related-samples Wilcoxon signed rank test comparing pre and post values. Qualitative data analysis for the exit interviews followed the methods outlined above in Phase 1.

Results

Feasibility And Acceptability Markers

Feasibility of recruitment, credibility and expectancy, client satisfaction, acceptability of treatment, adherence to ActiGraphs and Fitbit, adherence to homework, therapist adherence to manual, and perception of improvement were good to excellent and similar for both groups (Table 4).

Table 4.

Feasibility And Acceptability Of The Open Pilot Studies

Outcome GetActive GetActive With Fitbit
Feasibility of recruitment 47 participants out of 52 successfully contacted agreed to complete screening (excellent)
Credibility and expectancy 5 out of 6 participants (83%) scored over median split 5 out of 7 participants (71%) scored over median split
Client satisfaction 5 out of 6 participants (83%) scored over median split (excellent) 6 out of 7 participants (86%) scored over median split (excellent)
Acceptability of treatment 4 out of 6 participants (66%) attended ≥ 6 out of 8 sessions (acceptable) 6 out of 7 participants (86%) attended ≥ 6 out of 8 sessions (excellent)
Adherence to ActiGraphs and Fitbit 6 out of 6 participants at baseline (100%) and 5 out of 6 at post-test (83%) recorded ≥ 5 days of ActiGraph data (excellent) 5 out of 7 participants (71%) recorded ≥ 5 days of ActiGraph data at both baseline and post-test (good)
6 out of 7 participants (86%) recorded at least 5 out of 7 days of Fitbit data every week (excellent)
Participants met 53% of their step-count goals
Adherence to homework 4 out of 6 participants (66%) completed ≥ 5 out of 7 weeks of homework (acceptable) 6 out of 7 participants (86%) completed ≥ 5 out of 7 weeks of homework (excellent)
Therapist adherence to manual 100% adherence (excellent) 100% adherence (excellent)
Feasibility of quantitative measures No questionnaires missing fully (excellent) No questionnaires missing fully (excellent)
Patients’ perception of improvement 5 out of 6 participants (83%) reported overall improvement (excellent) 6 out of 6 participants (100%) reported overall improvement (excellent)
Analgesics (non-narcotic) Stable Stable
Narcotic analgesics Stable None
Adverse events None 1 participant reported shin splints, 1 reported ankle pain, 1 reported knee pain
Physical Function (Table 5)
Table 5.

Objective, Performance-Based And Self-Report Activity/Function Outcomes

Physical Activity Assessments GetActive GetActive With Fitbit
Baseline M (SD) Post-Test M (SD) Pre-Post Change M (95% CI) t value p value Cohen’s D Baseline M (SD) Post-Test M (SD) Pre-Post Change M (95% CI) t value p value Cohen’s D
ActiGraph Average Steps 5341.33 (2470.81) 6514.83 (3728.13) 1173.5 (−1136.30, 3483.30) 1.31 0.248 0.53 7341.43 (2022.17) 9066.00 (2500.08) 1724.57 (−558.59, 4007.74) 1.85 0.114 0.70
6 min Walk Test Distance (m) 405.88 (109.58) 436.95 (41.05) 31.07 (−29.26, 91.39) 1.32 0.243 0.54 406.31 (60.77) 400.33 (50.40) −5.99 (−35.01, 23.04) 0.505 0.632 0.19
Physical function (PROMIS) 37.58 (5.76) 40.28 (4.77) 2.70 (−1.65, 7.05) 1.60 0.171 0.65 38.70 (4.07) 39.67 (3.56) 0.97 (−0.90, 2.84) 1.27 0.251 0.48
Physical Function (WHODAS) 82.67 (25.20) 70.83 (25.86) 11.83 (0.88, 22.79) 2.78 0.039 1.13 67.71 (14.30) 63.71 (17.11) 4.00 (−4.13, 12.13) 1.20 0.274 0.45
Self-reported physical activity 8.60 (8.02) 13.72 (16.35) 5.12 (−5.44, 15.68) 1.25 0.268 0.51 11.40 (11.94) 13.71 (15.64) 2.31 (−5.53, 10.15) 0.72 0.498 0.27

Objective physical function. Overall, both groups, when considered together, showed a significant increase in ActiGraph-measured number of steps from baseline to posttest (Figure 4). Participants in the GetActive with Fitbit group had a relatively high baseline step-count (>7300 steps, with most (5 out of 7) participants walking more than 5,000 steps a day). Improvements in number of steps in both groups were clinically meaningful, over the MCID of 1000 steps43 (medium effect size). Four out of 7 participants within the GetActive with Fitbit group and 4 out of 6 within the GetActive group showed increases in step-count over the MCID (medium effect size).

Figure 4.

Figure 4

Pre-post changes in performance-based measures in the 2 programs.

Performance-based physical function. As a group, participants in the GetActive group generally increased their distance walked in the 6 min walk test (4 out of 6 participants; 1 above the MCID; medium effect size). Participants in the GetActive with Fitbit showed no change in the 6 min walk test (4 out of 7 participants increased distance but did not reach the MCID).

Self-report physical function. Both the GetActive and GetActive with Fitbit groups showed some improvement in physical function (medium effect size; Table 5).

Emotional Function

Both groups exhibited non-significant improvement in anxiety (small effect size) and depression (small to medium effect size; Table 6).

Table 6.

Quantitative Self-Report Outcomes Of Pain, Emotional Function And Coping

Measures GetActive GetActive With Fitbit
Baseline M (SD) Post-Test M (SD) Pre-Post Change M (95% CI) t value p value Cohen’s D Baseline M (SD) Post-Test M (SD) Pre-Post Change M (95% CI) t value p value Cohen’s D
Pain at rest 5.17 (2.23) 3.83 (2.64) 1.33 (0.25, 2.42) 3.16 0.025 1.30 5.29 (2.29) 3.57 (2.64) 1.71(0.05, 3.38) 2.52 0.045 0.95
Pain with activity 6.67 (1.51) 4.67 (3.56) 2.00 (−0.89, 4.89) 1.78 0.136 0.73 7.57 (1.81) 6.00 (2.24) 1.57 (0.28, 2.86) 2.98 0.025 1.12
Pain resilience 28.83 (6.62) 39.17 (6.85) −10.33 (−20.10, −0.56) 2.72 0.042 1.11 29.57 (11.52) 33.71 (7.50) −4.14 (−9.28, 0.99) 1.97 0.096 0.75
Depression 59.02 (6.65) 54.70 (10.10) 4.32 (−4.42, 13.05) 1.27 0.260 0.52 55.11 (10.86) 53.66 (4.42) 1.46 (−5.56, 8.47) 0.51 0.629 0.19
Anxiety 59.38 (5.55) 56.78 (11.61) 2.60 (−7.19, 12.39) 0.68 0.525 0.28 55.00 (12.02) 51.74 (9.21) 3.26 (−5.98, 12.49) 0.86 0.421 0.33
Social isolation 48.63 (8.16) 46.53 (9.33) 2.10 (−9.70, 13.90) 0.46 0.667 0.19 51.94 (6.46) 50.54 (5.24) 1.40 (−2.80, 5.60) 0.82 0.446 0.31
Emotional support 45.48 (9.73) 45.68 (9.90) −0.20 (−4.72, 4.32) 0.11 0.914 0.05 49.80 (7.76) 50.64 (10.26) −0.84 (−10.37, 8.68) 0.22 0.836 0.08
Mindfulness 29.83 (4.58) 33.33 (5.35) −3.50 (−9.89, 2.89) 1.41 0.218 0.58 27.29 (4.54) 29.00 (4.76) −1.71 (−6.08, 2.65) 0.96 0.373 0.36
Pain catastrophizing 44.00 (12.51) 33.17 (14.32) 10.83 (−7.63, 29.29) 1.51 0.192 0.62 34.14 (11.05) 29.86 (8.55) 4.29 (−5.60, 14.17) 1.06 0.330 0.40
Kinesiophobia 43.17 (8.91) 34.83 (8.61) 8.33 (−2.09, 18.76) 2.05 0.095 0.84 40.43 (1.90) 37.14 (7.01) 3.29 (−2.56, 9.13) 1.38 0.218 0.52
Coping 25.67 (8.12) 32.83 (3.87) −7.17 (−17.22, 2.89) 1.83 0.126 0.75 22.00 (6.76) 30.29 (7.48) −8.29 (−15.50, −1.07) 2.81 0.031 1.06

Other Measures

The GetActive group exhibited clinically meaningful reductions in levels of pain during rest and activity (medium effect size; Table 6), pain resilience (large effect size), and non-significant improvements in kinesiophobia (large effect size), and coping (medium-large effect size; Table 6). Participants in the GetActive with Fitbit group similarly exhibited a significant and clinically meaningful decrease in levels of pain during rest and activity (large effect sizes), as well as improvements in coping (large effect size), and a non-significant improvement in pain resilience (medium-large effect size). These comparisons were repeated using the non-parametric related-samples Wilcoxon signed rank test (see Analysis Plan) and yielded similar results in terms of direction and significance.

Exit Interviews

Participants reported high satisfaction with the learned relaxation, mind-body, and coping skills, and reported an improved ability to manage stress, pain, and an increased quality of life. They indicated that the pacing of the program, particularly in the first sessions, could be more relaxed and spread out over more sessions. Three participants indicated that healthy behaviors topics (e.g., healthy eating, sleep) detracted from the rest of the intervention. Participants in the GetActive with Fitbit group reported that the Fitbit was helpful in improving sleep and body awareness. However, they also reported feeling guilty and discouraged whenever they did not meet their step-goal or when receiving reminders about lack of activity.

Discussion

Despite decades of research, improvements in emotional and physical function following mind-body treatments among chronic pain patients are modest and generally fade over time. Further, no clinical trials to date assess physical function using IMMPACT and ICF criteria. Although there is evidence that physical activity helps patients with chronic pain, uptake and adherence remain problematic. The current study used the NIH stage model25 and NCCIH model for intervention development26 and adapted an evidence-based, group, mind-body program for the specific needs of patients with chronic pain. The study targeted comprehensive improvement in emotional and physical function9,10 (self-report, performance based and objective) with a Fitbit device (GetActive with Fitbit) or without it (GetActive; phase 1). We also assessed preliminary feasibility markers for the two programs via 2 nonrandomized open pilot studies (phase 2).

Focus groups confirmed the physical, emotional, and social challenges associated with chronic pain. Fear of exacerbating pain, difficulties with pacing, and frustration with current functioning were common complaints from participants. They held largely favorable views of the modified 3RP and the additional pain management skills described, the use of a Fitbit device to increase activity, and the value of learning skills in a supportive group setting. The rationale of combining pain-specific mind-body skills with increased in walking linked to re-engagement in activities of daily living resonated with focus group participants. They identified the group setting and the Fitbit as particularly motivating in regards to meeting their goals. These results confirmed prior reports in this population.3,32 Results are also in line with evidence suggesting that this population is in need of extra support to engage in physical activity,62 and the essential roles of quota-based pacing and mind-body skills63 as aids in this endeavor.

The open pilot studies showed excellent therapist adherence, client satisfaction, perceptions of improvement, feasibility of quantitative measures, and feasibility of recruitment for both programs. One hundred percent of participants with baseline data completed post-testing in both groups, and attrition was lower compared to other studies of chronic pain.4 Credibility and adherence to ActiGraph and Fitbit were high, and minimal adverse events were reported. Results indicate that the interventions and procedures are feasible and accepted by study participants.

In line with common guidelines for feasibility studies27 this study did not test efficacy or perform any between-group analyses. Nevertheless, preliminary exploration of effect sizes of within group pre-post changes suggests that both programs show promise for improvements in most outcome measures. Critically, both groups exhibited step-count increases that are clinically meaningful.43 Moreover, we found large effect sizes and clinically meaningful54 decreases in pain following the programs, as well as large and significant effects for improvements in physical function and medium-large effect sizes for improvements in coping, pain resilience, and kinesiophobia.

Qualitative exit interviews indicated high satisfaction with both programs and the mind-body, pain-specific and physical activity skills learned, and suggested additional modifications including: 1) increasing the total number of sessions in both programs from 8 to 10 to allow for a more relaxed pace of teaching the skills; 2) including 3RP specific information on healthy eating and sleep in an appendix to avoid deterring from the flow of the program; 3) debunking the myths regarding mindfulness, meditation, and other mind-body practices which had associations with “laziness” for some participants; 4) incorporating a more thorough discussion on challenges associated with forming new habits, as well as introducing the skill of self-compassion to help patients remain motivated even when not meeting step-count goals; 5) developing a comprehensive assessment of activity (e.g., job activity, seating time, Physical Activity Questionnaire-Short Form IPAQ-SF64 scores) during screening to ensure that participants are sedentary (e.g., less than 5,000 steps) so that they can fully benefit from the programs.

Conclusions

This study is the first to integrate physical activity with mind-body skills to increase comprehensive physical and emotional functioning in a heterogeneous group of patients with chronic pain, the first to use a comprehensive assessment of physical function consistent with IMMPACT and ICF criteria, and the first to compare increase in activity with and without a Fitbit. Focus groups, open pilot, and exit interview data provided preliminary evidence for feasibility and acceptability of the novel interventions as well as a signal of improvement in physical activity, pain, physical function, and other measures. Consistent with the aims of pilot feasibility studies,27 our aim was not to examine the efficacy of the programs or generalize findings to the larger pain population. Rather, we collected meaningful information which allowed us to further modify the GetActive with Fitbit and GetActive programs and study procedures which are currently being tested within a definitive feasibility pilot RCT, following the NIH stage model25 and NCCIH framework.26 If feasibility benchmarks are met within this feasibility RCT of GetActive versus GetActive with Fitbit, we will next conduct a fully powered RCT of the GetActive with Fitbit versus Get Active versus a health education control in order to determine comparatively their efficacy and sustained improvement in emotional and physical function, as well as elucidate whether the Fitbit is a necessary ingredient. Results of the future efficacy RCT will have important implications for the treatment of chronic pain and may lead to a paradigm shift in the manner in which pain is assessed and treated, support implementation of ICF and IMMPACT criteria across all settings, and potentially provide evidence for the use of digital activity trackers as activity reinforcers within chronic pain treatments.

Acknowledgement

We thank Stephanie Moffat and Christopher Funes for transcribing the interviews.

Funding Statement

This study was funded by an R34 grant from the National Center for Complementary and Integrative Health (1R34AT009356-01A1) to the senior author.

Disclosure

Dr. Schatman serves as a consultant to Kaleo Pharma and Quest Diagnostics and received ad board honorarium from Salix Pharmaceuticals. All other authors declare that they have no conflicts of interest in this work.

References

  • 1.IASP Taxonomy Working Group. Pain terms a current list with definitions and notes on usage. Pain. 1986;4:S215–S221. doi: 10.1016/0304-3959(86)90113-2 [DOI] [Google Scholar]
  • 2.Schappert SM. Ambulatory care visits to physician offices, hospital outpatient departments, and emergency departments: United States, 2001–02. Vital Health Stat. 2006;13. [PubMed] [Google Scholar]
  • 3.Vranceanu AM, Bachoura A, Weening A, Vrahas M, Smith RM, Ring D. Psychological factors predict disability and pain intensity after skeletal trauma. J Bone Jt Surg - Ser A. 2014;96(3). doi: 10.2106/JBJS.L.00479 [DOI] [PubMed] [Google Scholar]
  • 4.Veehof MM, Oskam MJ, Schreurs KMG, Bohlmeijer ET. Acceptance-based interventions for the treatment of chronic pain: a systematic review and meta-analysis. Pain. 2011;152(3):533–542. doi: 10.1016/j.pain.2010.11.002 [DOI] [PubMed] [Google Scholar]
  • 5.Gotink RA, Chu P, Busschbach JJV, Benson H, Fricchione GL, Hunink MGM. Standardised mindfulness-based interventions in healthcare: an overview of systematic reviews and meta-analyses of RCTs. PLoS One. 2015;10(4). doi: 10.1371/journal.pone.0124344 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 6.Hilton L, Hempel S, Ewing BA, et al. Mindfulness meditation for chronic pain: systematic review and meta-analysis. Ann Behav Med. 2017;51(2):199–213. doi: 10.1007/s12160-016-9844-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Jackson W, Kulich R, Malacarne A, Lapidow A, Vranceanu A. Physical functioning and mindfulness based interventions in chronic pain: a systematic review. J Pain. 2016;17:S99. doi: 10.1016/j.jpain.2016.01.304 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Marikar Bawa FL, Mercer SW, Atherton RJ, et al. Does mindfulness improve outcomes in patients with chronic pain? Systematic review and meta-analysis. Br J Gen Pract. 2015;65(635):e387–e400. doi: 10.3399/bjgp15X685297 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Taylor AM, Phillips K, Patel KV, et al. Assessment of physical function and participation in chronic pain clinical trials: IMMPACT/OMERACT recommendations. Pain. 2016;157(9):1836–1850. doi: 10.1097/j.pain.0000000000000577 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.World Health Organization. International Classification of Functioning, Disability and Health (ICF). Geneva; 2001. [Google Scholar]
  • 11.Jackson W, Zale EL, Berman SJ, et al. Physical functioning and mindfulness skills training in chronic pain: a systematic review. J Pain Res. 2019;12:179–189. doi: 10.2147/JPR [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Geneen LJ, Moore RA, Clarke C, Martin D, Colvin LA, Smith BH. Physical activity and exercise for chronic pain in adults: an overview of cochrane reviews. Cochrane Database Syst Rev. 2017;1:CD011279. doi: 10.1002/14651858.CD011279.pub2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Endrighi R, Steptoe A, Hamer M. The effect of experimentally induced sedentariness on mood and psychobiological responses to mental stress. Br J Psychiatry. 2016;208(3):245–251. doi: 10.1192/bjp.bp.114.150755 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Suchert V, Hanewinkel R, Isensee B. Sedentary behavior and indicators of mental health in school-aged children and adolescents: a systematic review. Prev Med (Baltim). 2015;76:48–57. doi: 10.1016/j.ypmed.2015.03.026 [DOI] [PubMed] [Google Scholar]
  • 15.O’Connor SR, Tully MA, Ryan B, et al. Walking exercise for chronic musculoskeletal pain: systematic review and meta-analysis. Arch Phys Med Rehabil. 2015;96(4):724–734.E3. doi: 10.1016/j.apmr.2014.12.003 [DOI] [PubMed] [Google Scholar]
  • 16.Kent P, Kjaer P. The efficacy of targeted interventions for modifiable psychosocial risk factors of persistent nonspecific low back pain - a systematic review. Man Ther. 2012;17(5):385–401. doi: 10.1016/j.math.2012.02.008 [DOI] [PubMed] [Google Scholar]
  • 17.Rainville J, Hartigan C, Martinez E, Limke J, Jouve C, Finno M. Exercise as a treatment for chronic low back pain. Spine J. 2004;4(1):106–115. doi: 10.1016/S1529-9430(03)00174-8 [DOI] [PubMed] [Google Scholar]
  • 18.Vranceanu A-M, Stone M, Wallace T, Kulich R. Cognitive behavioral therapy for chronic pain In: Vranceanu A-M, Greer J, Safren S editors. The Massachusetts General Hospital Handbook of Behavioral Medicine. Humana Press; 2017:93–114. doi: 10.1007/978-3-319-29294-6_5 [DOI] [Google Scholar]
  • 19.Nijs J, Kosek E, Van Oosterwijck J, Meeus M. Dysfunctional endogenous analgesia during exercise in patients with chronic pain: to exercise or not to exercise? Pain Physician. 2012;15:ES205–ES213. [PubMed] [Google Scholar]
  • 20.Patel MS, Asch DA, Volpp KG. Wearable devices as facilitators, not drivers, of health behavior change. JAMA. 2015;313(5):459–460. doi: 10.1001/jama.2014.14781 [DOI] [PubMed] [Google Scholar]
  • 21.Chandrasekar A, Hensor EMA, Mackie SL, Backhouse MR, Harris E. Preliminary concurrent validity of the fitbit-zip and actigraph activity monitors for measuring steps in people with polymyalgia rheumatica. Gait Posture. 2018;61:339–345. doi: 10.1016/j.gaitpost.2018.01.035 [DOI] [PubMed] [Google Scholar]
  • 22.Alharbi M, Bauman A, Neubeck L, Gallagher R. Measuring overall physical activity for cardiac rehabilitation participants: a review of the literature. Hear Lung Circ. 2017;26(10):1008–1025. doi: 10.1016/j.hlc.2017.01.005 [DOI] [PubMed] [Google Scholar]
  • 23.Gordon R, Bloxham S. Influence of the Fitbit Charge HR on physical activity, aerobic fitness and disability in non-specific back pain participants. J Sport Med Phys Fit. 2017. 57(12):1669–1675. [DOI] [PubMed] [Google Scholar]
  • 24.Jamison RN, Jurcik DC, Edwards RR, Huang CC, Ross EL, Pilot A. Comparison of a smartphone app with or without 2-way messaging among chronic pain patients: who benefits from a pain app? Clin J Pain. 2017;33(8):676–686. doi: 10.1097/AJP.0000000000000455 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Onken LS, Carroll KM, Shoham V, Cuthbert BN, Riddle M. Reenvisioning clinical science: unifying the discipline to improve the public health. Clin Psychol Sci. 2013;2(1):22–34. doi: 10.1177/2167702613497932 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.National Center for Complementary and Integrative Health. Framework for developing and testing mind and body interventions. Available from: https://nccih.nih.gov/grants/mindbody/framework Published 2017. Accessed June27, 2019.
  • 27.Leon AC, Davis LL, Kraemer HC. The role and interpretation of pilot studies in clinical research. J Psychiatr Res. 2011;45(5):626–629. doi: 10.1016/j.jpsychires.2010.10.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Lancaster GA, Dodd S, Williamson PR. Design and analysis of pilot studies: recommendations for good practice. J Eval Clin Pract. 2004;10(2):307–312. doi: 10.1111/j.2002.384.doc.x [DOI] [PubMed] [Google Scholar]
  • 29.Park ER, Traeger L, Vranceanu AM, et al. The development of a patient-centered program based on the relaxation response: the relaxation response Resiliency Program (3RP). Psychosomatics. 2013;54(2):165–174. doi: 10.1016/j.psym.2012.09.001 [DOI] [PubMed] [Google Scholar]
  • 30.Gonzalez A, Shim M, Mahaffey B, Vranceanu A-M, Reffi A, Park ER. The Relaxation Response Resiliency Program (3RP) in patients with headache and musculoskeletal pain: a retrospective analysis of clinical data. Pain Manag Nurs. 2018. doi: 10.1016/j.pmn.2018.04.003 [DOI] [PubMed] [Google Scholar]
  • 31.Eisenberg DM, Buring JE, Hrbek AL, et al. A model of integrative care for low-back pain. J Altern Complement Med. 2012;18(4):354–362. doi: 10.1089/acm.2011.0408 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Crombez G, Eccleston C, Van Damme S, Vlaeyen JWS, Karoly P. Fear-avoidance model of chronic pain: the next generation. Clin J Pain. 2012;28(6):475–483. doi: 10.1097/AJP.0b013e3182385392 [DOI] [PubMed] [Google Scholar]
  • 33.Breivik H, Collett B, Ventafridda V, Cohen R, Gallacher D. Survey of chronic pain in Europe: prevalence, impact on daily life, and treatment. Eur J Pain. 2006;10(4):287–333. doi: 10.1016/j.ejpain.2005.06.009 [DOI] [PubMed] [Google Scholar]
  • 34.Dahl J. Behavioral activation for depression: a clinician’s guide. Cogn Behav Ther. 2011;40(1):77. doi: 10.1080/16506073.2010.514119 [DOI] [Google Scholar]
  • 35.American Thoractic Society. ATS statement: the six-minute walk test. Am J Respir Crit Care Med. 2002;166(1):111–117. doi: 10.1164/rccm.166/1/111 [DOI] [PubMed] [Google Scholar]
  • 36.Ritchie J, Lewis J, McNaughton Nicholls C, Ormston R. Qualitative Research Practice: A Giode for Social Science Students and Researchers. 2nd ed ed. Sage Publications, Inc; 2013. [Google Scholar]
  • 37.Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): A 32-item checklist for interviews and focus groups. Int J Qual Heal Care. 2007;19(6):349–357. doi: 10.1093/intqhc/mzm042 [DOI] [PubMed] [Google Scholar]
  • 38.Smith J, Firth J. Qualitative data analysis: the framework approach. Nurse Res. 2011. doi: 10.7748/nr2011.01.18.2.52.c8284 [DOI] [PubMed] [Google Scholar]
  • 39.Bazeley PK. Qualitative Data Analysis with NVivo. Los Angeles: Sage; 2013. [Google Scholar]
  • 40.Rounsaville BJ, Carroll KM, Onken LS, Stage A. Model of behavioral therapies research: getting started and moving on from stage I. Clin Psychol Sci Pract. 2006;8(2):133–142. doi: 10.1093/clipsy.8.2.133 [DOI] [Google Scholar]
  • 41.Czajkowski SM, Powell LH, Adler N, et al. From ideas to efficacy: the ORBIT model for developing behavioral treatments for chronic diseases. Heal Psychol. 2015;34(10):971–982. doi: 10.1037/hea0000161 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Attkisson CC, Zwick R. The client satisfaction questionnaire. Psychometric properties and correlations with service utilization and psychotherapy outcome. Eval Program Plann. 1982;5(3):233–237. doi: 10.1016/0149-7189(82)90074-X [DOI] [PubMed] [Google Scholar]
  • 43.Marshall SJ, Levy SS, Tudor-Locke CE, et al. Translating physical activity recommendations into a pedometer-based step goal. 3000 steps in 30 mins. Am J Prev Med. 2009;36(5):410–415. doi: 10.1016/j.amepre.2009.01.021 [DOI] [PubMed] [Google Scholar]
  • 44.Redelmeier DA, Bayoumi AM, Goldstein RS, Guyatt GH. Interpreting small differences in functional status: the six minute walk test in chronic lung disease patients. Am J Respir Crit Care Med. 1997;155(4):1278–1282. doi: 10.1164/ajrccm.155.4.9105067 [DOI] [PubMed] [Google Scholar]
  • 45.Stone AA, Broderick JE, Junghaenel DU, Schneider S, Schwartz JE. PROMIS fatigue, pain intensity, pain interference, pain behavior, physical function, depression, anxiety, and anger scales demonstrate ecological validity. J Clin Epidemiol. 2016;74:194–206. doi: 10.1016/j.jclinepi.2015.08.029 [DOI] [PubMed] [Google Scholar]
  • 46.Hung MM, Saltzman CL, Bounsanga J, et al. What Are the MCIDs for PROMIS, NDI, and ODI instruments among patients with spinal conditions? Clin Orthop Relat Res. 2018;476(10):2027–2036. doi: 10.1097/CORR.0000000000000419 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.World Health Organization. Whodas 2.0. Assessment. 2010. [Google Scholar]
  • 48.Washburn RA, Zhu W, McAuley E, Frogley M, Figoni SF. The physical activity scale for individuals with physical disabilities: development and evaluation. Arch Phys Med Rehabil. 2002;83(2):193–200. doi: 10.1053/apmr.2002.27467 [DOI] [PubMed] [Google Scholar]
  • 49.A brief guide to the PROMIS depression instruments. Patient reported outcomes measurement information system. Available from: https://www.assessmentcenter.net/documents/PROMIS Depression Scoring Manual.pdf Published 2015. Accessed October29, 2018.
  • 50.A brief guide to the PROMIS anxiety instruments. Outcomes measurement information system. Available from: https://www.assessmentcenter.net/documents/PROMIS Anxiety Scoring Manual.pdf Published 2015. Accessed October29, 2018.
  • 51.Selvarajah S, Neuman BJ, Skolasky RL. Using PROMIS health domains to identify clinically meaningful change in lumbar degenerative spine disease: concurrent validity and responsiveness. Spine J. 2016;16(10):S369–S370. doi: 10.1016/j.spinee.2016.07.304 [DOI] [Google Scholar]
  • 52.Rodriguez CS. Pain measurement in the elderly: A review. Pain Manag Nurs. 2001;2(2):38–46. doi: 10.1053/jpmn.2001.23746 [DOI] [PubMed] [Google Scholar]
  • 53.Farrar JT, Young JP, LaMoreaux L, Werth JL, Poole RM. Clinical importance of changes in chronic pain intensity measured on an 11-point numerical pain rating scale. Pain. 2001;94(2):149–158. doi: 10.1016/S0304-3959(01)00349-9 [DOI] [PubMed] [Google Scholar]
  • 54.Salaffi F, Stancati A, Alberto Silvestri C, Ciapetti A, Grassi W. Minimal clinically important changes in chronic musculoskeletal pain intensity measured on a numerical rating scale. Eur J Pain. 2004;8(4):283–291. doi: 10.1016/j.ejpain.2003.09.004 [DOI] [PubMed] [Google Scholar]
  • 55.A brief guide to the PROMIS Social Isolation instruments. Outcomes measurement information system. Available from: http://www.healthmeasures.net/administrator/components/com_instruments/uploads/15-09-01_16-44-48_PROMISSocialIsolationScoringManual.pdf Published 2015. Accessed October29, 2018.
  • 56.Feldman G, Hayes A, Kumar S, Greeson J, Laurenceau JP. Mindfulness and emotion regulation: the development and initial validation of the Cognitive and Affective Mindfulness Scale-Revised (CAMS-R). J Psychopathol Behav Assess. 2007;29(3):177–190. doi: 10.1007/s10862-006-9035-8 [DOI] [Google Scholar]
  • 57.A brief guide to the PROMIS Emotional Support instruments. Outcomes measurement information system. Available from: https://www.assessmentcenter.net/documents/PROMIS Emotional Support Scoring Manual.pdf Published 2015. Accessed October29, 2018.
  • 58.Sullivan MJL, Bishop SR, Pivik J. The pain catastrophizing scale: development and validation. Psychol Assess. 1995;7(4):524–532. doi: 10.1037/1040-3590.7.4.524 [DOI] [Google Scholar]
  • 59.Woby SR, Roach NK, Urmston M, Watson PJ. Psychometric properties of the TSK-11: A shortened version of the Tampa Scale for Kinesiophobia. Pain. 2005;117(1–2):137–144. doi: 10.1016/j.pain.2005.05.029 [DOI] [PubMed] [Google Scholar]
  • 60.Carver CS MOCS (Measure of Current Status). Available from: http://www.psy.miami.edu/faculty/ccarver/sclMOCS.html Published 2006. Accessed June19, 2019.
  • 61.Geisser ME, Clauw DJ, Strand V, Gendreau RM, Palmer R, Williams DA. Contributions of change in clinical status parameters to Patient Global Impression of Change (PGIC) scores among persons with fibromyalgia treated with milnacipran. Pain. 2010;149(2):373–378. doi: 10.1016/j.pain.2010.02.043 [DOI] [PubMed] [Google Scholar]
  • 62.Joelsson M, Bernhardsson S, Larsson MEH. Patients with chronic pain may need extra support when prescribed physical activity in primary care: a qualitative study. Scand J Prim Health Care. 2017;35(1):64–74. doi: 10.1080/02813432.2017.1288815 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Nielson WR, Jensen MP, Karsdorp PA, Vlaeyen JWS. Activity pacing in chronic pain: concepts, evidence, and future directions. Clin J Pain. 2013;29(5):461–468. doi: 10.1097/AJP.0b013e3182608561 [DOI] [PubMed] [Google Scholar]
  • 64.Lee PH, Macfarlane DJ, Lam TH, Stewart SM. Validity of the international physical activity questionnaire short form (IPAQ-SF): A systematic review. Int J Behav Nutr Phys Act. 2011;8. doi: 10.1186/1479-5868-8-115 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Citations

  1. National Center for Complementary and Integrative Health. Framework for developing and testing mind and body interventions. Available from: https://nccih.nih.gov/grants/mindbody/framework Published 2017. Accessed June27, 2019.

Articles from Journal of Pain Research are provided here courtesy of Dove Press

RESOURCES