- Study protocol
- Open Access
- Open Peer Review
Comparative Efficacy and Mechanisms of a Single-Session Pain Psychology Class in Chronic Low Back Pain: Study Protocol for a Randomized Controlled Trial
© The Author(s). 2018
- Received: 21 August 2017
- Accepted: 8 February 2018
- Published: 6 March 2018
The Institute of Medicine (IOM) reported that chronic pain affects about 100 million U.S. adults, with chronic low back pain (CLBP) cited as the most prevalent type. Pain catastrophizing is a psychological construct shown to predict the development and trajectory of chronic pain and patient response to pain treatments. While effective treatment for pain catastrophizing typically includes eight-session groups of cognitive behavioral therapy (CBT), a single-session targeted treatment class yielded promising results which, if replicated and extended, could prove to efficiently and cost-effectively reduce pain catastrophizing. In this trial, we seek to determine the comparative efficacy of this novel single-session pain catastrophizing class to an eight-session course of pain CBT and a single-session back pain health education class. We will also explore the psychosocial mechanisms and outcomes of pain catastrophizing treatment.
In this trial we will randomize 231 individuals with CLBP to one of three treatment arms: (1) pain-CBT (eight weekly 2-h group sessions with home exercises and readings); (2) a single 2-h pain catastrophizing class; or (3) a single 2-h back pain health education class (active control). For the primary outcome of pain catastrophizing, the trial is designed as a non-inferiority test between pain-CBT and the single-session pain catastrophizing class, and as a superiority test between the single-session pain catastrophizing class and the health education class. Team researchers masked to treatment assignment will assess outcomes up to six months post treatment.
If the single-session targeted pain catastrophizing class is found to be an effective treatment for patients with CLBP, this low cost and low burden treatment could dismantle many of the current barriers and burdens of effective pain care. Further, elucidation of the mechanisms of pain catastrophizing treatments will facilitate future research on the topic as well as further development and refinement of treatments.
ClinicalTrials.gov, NCT03167086. Registered on 22 May 2017.
- Back pain
- Pain catastrophizing
- Cognitive behavioral therapy
- Chronic pain
The Institute of Medicine (IOM) recently reported that chronic pain affects about 100 million U.S. adults and costs the nation $635 billion annually in medical costs and lost productivity . Chronic low back pain (CLBP) is cited as the most prevalent type of chronic pain  and rates continue to rise despite increased utilization of treatments such as surgery and pharmacology. For instance, in North Carolina the prevalence of CLBP rose from 3.9% in 1992 to 10.2% in 2006, along with disability and healthcare costs . Hoy et al. reported a low back pain one-year period prevalence of 38% . This demonstrates the growing need for effective interventions to prevent CLBP and better treat it once established. Multiple studies suggest that the greatest predictor for the development and progression of CLBP is pain catastrophizing (PC) . PC is a cognitive-emotional response pattern involving negative expectation and appraisal about actual or anticipated pain and includes feelings of helplessness about pain . Consistently across studies, PC is a primary predictor for the onset and worsening of CLBP, even among all surgical and clinical variables [4, 6, 7]. While PC is effectively treated with pain-cognitive behavioral therapy (CBT), access to care may be limited by several barriers, including the need for physician referral, poor reimbursement or no insurance, co-payment costs, and time and costs associated with the 6–10 group or individual pain-CBT treatment sessions. This study addresses the critical problem of poor access to PC treatment among patients with CLBP.
A single-session targeted class was recently shown to reduce pain catastrophizing at four-week follow-up in a cohort of 57 mixed etiology chronic pain patients receiving treatment at a tertiary referral, multidisciplinary chronic pain clinic . The effectiveness of the class was found to be equivocal for patients with co-morbid anxiety and depression compared to those without these diagnoses. The results of this pilot study, while preliminary, are particularly promising because the intervention is efficiently delivered in a single 2-h class. If proven effective in a larger, randomized and controlled study, many of the barriers associated with traditional, multi-session pain-CBT would be eliminated for those seeking focal catastrophizing treatment.
To implement a comparative efficacy trial of a single-session pain psychology (SPP) class that targets PC with the standard of care, eight-session pain-CBT (8-CBT), and a single-session back pain health education class (Control).
Hypothesis 1a (Superiority): The SPP class will be superior to Control for Trait PC reduction.
Hypothesis 1b (Assay sensitivity): 8-CBT will be superior to Control for Trait PC reduction.
Hypothesis 1c (Non-inferiority): The SPP class will be non-inferior to 8-CBT for Trait PC reduction.
Hypothesis 1d (Global improvement): The SPP class will be superior to Control and non-inferior to 8-CBT for longitudinal changes in PROMIS pain intensity and behavior, fatigue, and sleep disturbance.
Hypothesis 1e (Improvement in objective measurement of function): Reductions in PC in the SPP class is associated with improvements in objective physical function as measured by actigraphy.
To characterize the mechanistic influence of Daily PC on future pain, function, and Trait PC.
Hypothesis 2a (Level-1 PC effect): Daily PC will predict same-day and next-day levels of pain and activity.
Hypothesis 2b (SPP/CBT moderation of Level-1 PC lagged effect): The relationships between Daily PC and same-day and next-day pain and activity are reduced by SPP and CBT interventions compared to the health education class.
Hypothesis 2c (Level-2 SPP effect): Daily PC mean changes (baseline to one-month post treatment) will predict mean change in pain, activity, sleep, and Trait PC in the SPP and 8-CBT groups at months 1–3.
Hypothesis 2d (Level-1 SPP/CBT skills use lagged effect): Previous-day and same-day use of SPP/CBT skills will predict next day improvement in Daily PC.
The protocol for this trial has been approved by the Stanford Institutional Review Board (IRB). All participants will be required to give their informed consent at screening and before enrollment in the study. Consent will be obtained by trained study team members.
Study sample and setting
Participants for this trial will be recruited from social media marketing, the Stanford Systems Neuroscience and Pain Lab database, and local advertisements in clinics and in the community. All advertisements will direct interested individuals to complete an online screening form to assess for their eligibility. The study will enroll 231 adults (age 18–70 years) with axial low back pain without radicular symptoms who meet study criteria (Table 1). This sample size accounts for expected attrition. Eligibility will be assessed by the research staff.
Inclusion and exclusion criteria
Axial low back pain without radicular symptoms
Study restricted to low back pain
Pain duration ≥ 6 months
As per recent NIH Task Force on Research Standards for Chronic Low Back Pain
Average pain intensity ≥ 4/10 for the past month at screening visit
Significant level of back pain to treat and to detect improvement
Men and women aged 18–70 years
PCS score ≥ 20
Significant level for PC 
Gross cognitive impairment
Condition which would make it difficult for a person to consent and partake in the study
Active suicidal ideation or severe depression
Previous attendance in the active treatment groups
Possible bias due to prior exposure to treatment groups
Participating in any interventional research study or completed participation in the last 2 months; enrollment in an observational study is acceptable
Current substance abuse
Clear likelihood to disrupt fellow class participants (e.g. personality disorder) at the discretion of the study team
Any radicular symptoms
Study restricted to low back pain
Ongoing legal or disability claim, Worker’s Comp (permanent and stationary disability not exclusionary)
Currently pregnant or planning to become pregnant
Average pain intensity < 4/10 for the past month at screening visit
Back pain too moderate to treat and to detect improvement
Disorders indicated by the MINI self-report questionnaire will be characterized and participants may be excluded at the discretion of the researcher
Condition which would make it difficult for a person to partake in treatments (e.g. social anxiety disorder would inhibit a person’s ability to fully participate in group treatment)
Because the study intervention involves classes, we are recruiting participants in cohorts consisting of 7–12 participants per class cohort (minimum of four participants, maximum of 20 participants per cohort) for all three study arms.
Interested individuals will be screened over the phone or will complete an online screening form. Potentially eligible individuals will be invited to an on-site screening visit where eligibility will be determined. The Mini International Interview (MINI 7.0) will be administered to exclude for suicidality and current substance abuse, and to characterize other psychiatric disorders. Eligible individuals will complete the consenting and enrollment procedures. Participants are randomized following eligibility confirmation and informed consent procedures.
Enrolled participants will be randomized to one of three treatment arms: pain psychology class (SPP), eight-week CBT (pain-CBT), and back pain health education (HE). An automated program in REDCap will randomly assign a participant to a treatment arm when enrolled and will ensure blinded randomization and equal numbers in all three treatment arms at the end of data collection.
Participants will not be blinded to the intervention they are randomized to. Treatment providers and study coordinators will not and cannot be blinded to treatment allocation. The study coordinator will be responsible for handling the randomization process through REDCap; however, they are blinded to the randomization scheme. This study coordinator will coordinate delivery of intervention; therefore, will not have access to data, data monitoring, or analysis of data. An alternative research team member will have access to the data and will be responsible for the data monitoring. The principal investigators, co-investigators, and statisticians will remain blinded through the data collection phase. The team will have access to the final un-identified dataset.
Both the SPP and HE group sessions consist of one 2-h class. The SPP treatment includes assigned home activities. The pain-CBT group treatment consists of eight weekly 2-h sessions which will also be supplemented by home activities.
Cognitive-behavioral therapy (CBT)
CBT for chronic pain is well-documented in the literature and has been found to be modestly to moderately effective in improving chronic pain [11–14]. For this study, we will be using the manualized CBT treatment manual utilized by Cherkin et al. [15, 16].
Content of each group treatment (CBT, SPP, and HE) session
Welcome and Introduction; CBT rationale and evidence; Pain physiology; Relaxation rationale; Importance of home practice
Single 2-h session, Didactic and Skills Acquisition
Didactic: Learn about mind– body science related to pain and PC; learn to identify catastrophizing in the moment; and how to self-treat it.
Skills Acquisition: Developing a plan to apply the learned skills to decrease physiological hyperarousal – diaphragmatic breathing and progressive muscle relaxation – within the context of PC. Improve the regulation of cognition and emotion, including PC reframing and thought restructuring. Developing a plan for implementing these skills in daily life. Identifying typical PC thoughts and practice writing out their reframes.
Participants leave with the following tangibles: (1) self-written, self-crafted, personalized PC cessation plan; (2) 20-min relaxation response audio CD/app; and (3) printed copy of the SPP content to access as needed in their PC cessation plan.
Single 2-h session, Class delivered via a PowerPoint presentation to groups of participants.
Content: Overview of back pain, including common sources and red flag symptoms. Also covers topics including managing a pain flare-up, working with healthcare professionals, evaluating treatments and making informed treatment decisions, and achieving and maintaining a healthy weight through good nutrition and exercise.
Relaxation: Intro to diaphragmatic breathing
Goal setting, activation, and pacing (SMART, rest-activity cycle, etc.); Red flags; Coping with flare-ups and creating a flare-up plan
Relaxation: 7-muscle group progressive muscle (PMR) relaxation
Role of thoughts and feelings in pain; Intro to CBT and terms; Intro to 3-column thought record
Relaxation: 4-muscle group PMR; fitting diaphragmatic breathing into daily life
Evaluating and generating alternate thoughts; Intro to evidence gathering; Intro to 4-column thought record
Relaxation: 4-muscle group PMR; no tension
More on evidence gathering and alternate thoughts (more detail); Working with thoughts review
Relaxation: Body scan
Thought records review
Relaxation: Walking body scan
Review of skills; Trouble-shooting re: thought records; Pain and mood; Pain core beliefs
Review of skills; “Signs” not using skills: Creating a plan for maintaining gains and dealing with setbacks; Termination and wrap-up
Relaxation: Guided imagery
Single-session pain catastrophizing class
The pain catastrophizing class is a unique intervention that specifically treats PC. Our pilot data show that the PC class significantly reduced PC one month post treatment, even in patients with co-morbid depression and anxiety . For this study, SPP will be delivered via a PowerPoint presentation to groups of participants in a single 2-h class. SPP has two main components: didactics and skills acquisition (summarized in Table 3). Didactic content includes mind–body science as it relates to pain and PC. Participants learn how to identify catastrophizing in the moment and how to self-treat it. Participants self-tailor the information relayed during the class by developing their own comprehensive self-treatment plan to stop and prevent catastrophizing. Participants leave the class with the following tangibles: (1) their self-written personalized PC cessation plan; (2) an app with a 20-min guided relaxation response audio file; and (3) a printed copy of the SPP class content. Cohort effects are expected to be minimal due to the single-session nature of the class, the fact that the class content is highly structured and manualized, and because participant interaction is relatively minimal.
Back health education
The HE class will be delivered via a PowerPoint presentation to groups of participants in a single session lasting approximately 2 h. The HE class will provide the group with an overview of back pain, including common sources and red flag symptoms. Didactics will also cover topics including working with healthcare professionals, evaluating treatments and making informed treatment decisions, and achieving and maintaining a healthy weight through good nutrition and exercise. The back HE class serves to control for the non-specific effects of: (1) receiving a “treatment;” (2) participating in a research study; and (3) providing daily ratings for PC and pain. The 2-h HE group will match SPP on four important factors: duration; structure; format; and site .
All treatment sessions will occur at approved clinical or research sites within the Stanford University School of Medicine and Stanford HealthCare.
For the active psychological treatment groups, all instructors will be doctoral level clinical psychologists trained in the treatment of chronic pain. The HE class will be expert-led by experienced health educators or chronic pain professionals (e.g. chronic pain physician assistant). The psychologist instructors for the CBT and the SPP will be mutually exclusive to enhance content distinction for the purposes of this comparative trial. Instructor effects will be examined analytically.
Training and monitoring of instructors
All CBT and SPP instructors will be trained in the study protocol for the respective interventions. For CBT, treatment fidelity checklists highlighting the essential components of each session were created based on those developed by Cherkin et al. (2014). A member of the research staff will be trained on the CBT manualized protocol and will assess treatment fidelity using session data and the fidelity checklist. He/she will analyze and rate a random sample of 20% of the recorded sessions for fidelity to the manualized CBT protocol. The study’s principal investigators will review the ratings to confirm fidelity. A research team member will serve as fidelity rater for the SPP class. In structure and format, SPP is optimized for treatment fidelity because it has standardized content and standardized handouts and materials. The research coordinator will directly observe the first three SPP classes and up to three SPP classes at random to ensure treatment fidelity. In addition, the research coordinator will complete the fidelity sheets for the HE class. Fidelity is built into the HE class as well with the use of PowerPoint that makes the curriculum very structured and difficult to deviate from.
Baseline and follow-up measures
Measurement domain/ Name of measure
Brief measure description
Post-tx month 0
Post-tx months 1, 2 3, 5, 6
Age, gender, race, ethnicity, handedness, education level, household income, employment
Medical history and medications
Height, weight, smoking, back pain etiology, pain duration, pain intensity, other pain conditions, pain treatments, psychological conditions, medications
Mini International Neuropsychiatric Interview (MINI) 
A MINI screen will be administered for two reasons: (1) for exclusionary criteria assessment for suicidality and current substance abuse; (2) to characterize other psychiatric disorders. Positive items will be followed by administering relevant modules of the Structured Clinical Interview for DSM (SCID) by a trained member of the study team
Beck Depression Inventory-II (BDI-II) 
BDI-II, the updated version of the 21 items questionnaire which assesses the intensity of depression in patients. It is the most widely used instrument for detecting depression (http://www.pearsonclinical.com/psychology/products/100000159/beck-depression-inventoryii-bdi-ii.html#tab-details)
Structured Clinical Interview for DSM-5 (SCID-5) 
A semi-structured interview guide for making DSM-5 diagnoses. It is administered by a clinician or trained mental health professional that is familiar with the DSM-5 classification and diagnostic criteria (https://www.appi.org/products/structured-clinical-interview-for-dsm-5-scid-5)
Chronic Pain Acceptance Questionnaire (CPAQ-8) 
Eight question version CPAQ has been designed to measure acceptance of pain. The acceptance of chronic pain is thought to reduce unsuccessful attempts to avoid or control pain and thus focus on engaging in valued activities and pursuing meaningful goals
West Haven-Yale Multidimensional Pain Inventory (WHY-MPI) 
West Haven-Yale MPI is designed to provide a brief, psychometric assessment of important components of the chronic pain experience. In particular, this study will be looking at how a significant other responds to a participant when they are in pain
Interactive map of male/female body to select regions that experience pain
Back pain bothersomeness
Single item measure of back pain bothersomeness in the past week from not at all bothersome to extremely bothersome
Satisfaction with Life Scale 
A 5-item scale designed to measure global cognitive judgments of one’s life satisfaction. Participants indicate how much they agree or disagree with each of the 5 items using a 7-point scale that ranges from 7 strongly agree to 1 strongly disagree
Perceived Stress Scale 
10 items on a 5-point scale from never to very often measuring aspects of perceived stress in the past month. Items were designed to measure how unpredictable, uncontrollable, and overloaded respondents perceive their life to be
Childhood Trauma Questionnaire 
The self-report measure includes 28 items that measure 5 types of maltreatment: emotional, physical, and sexual abuse; and emotional and physical neglect. Items are measured on a 5-point Likert scale with responses ranging from never true to often true
Positive and Negative Affect Schedule 
10 positive affect descriptors and 10 negative affect descriptors are measured for the resent moment on a 5-point scale ranging from very slightly or not at all to extremely
Patient’s Global Impression of Change 
One item measure of status change since start of treatment and one item measure of side effects
Working Alliance Inventory 
12 items on 7-point scale from never to always measuring how the participant feels about the treatment group instructor
Treatment expectancies 
Stanford Expectations of Treatment Scale, a 6-item tool our group developed and validated at SNAPL, will be used to assess participant expectations of treatment
Mid Credibility Expectancy Questionnaire 
4 items assessing patient impressions of the treatment midway through treatment participation
Post Credibility Expectancy Questionnaire 
4 items assessing patient impressions of the treatment post-treatment participation
Tx satisfaction, utility, and knowledge
7 items assess participant satisfaction and perceived utility of treatment on a 7-point rating scale. For the SPP group, 5 items will assess knowledge acquired regarding PC and self-treatment
Treatment and life event changes
Assesses new treatments, major lifestyle changes, major or adverse life events (negative and positive), and new injuries at different time points throughout the study
Single item measure assessing frequency of skills use learned in class over the past month from not at all to several times per day
Primary treatment outcome measures
Pain Catastrophizing Scale (PCS) 
13-item scale assesses severity of Trait PC tendencies on a 5-point scale (0 = “not at all” to 4 = “all the time”); sum scores are in the range of 0–52.The PCS has 3 factors (helplessness, magnification, rumination) and has good psychometrics . The PCS total score at 3 months post treatment is our primary endpoint (Trait PC)
NIH PROMIS measures 
NIH PROMIS measures have been successfully applied in pain research [49–52] and will be used to assess multiple variables of interest, including Pain Intensity, Pain Interference, Pain Behavior, Function, Depression, Anxiety, Sleep Disturbance, Sleep Interference, Anger, and Fatigue. Computerized automated testing  technology will be used to minimize participant burden. Participants also complete PROMIS Global Health at the same time points.
Pain Self-Efficacy Questionnaire (PSEQ) 
Daily Measures / ESM (2 week data waves)
The 5-item Daily PCS will be administered daily
Daily pain, mood, and function questions
In a single question for each theme, for the past 24 h, average back pain, highest level of back pain, pain interference, stress, positive emotions, negative emotions, and satisfaction with life as assessed
Skills use (only for SPP & CBT)
SPP group will answer 3 questions assess use of cognitive, behavioral, and psychophysiological techniques over 24 h from 0 times to 5+ times. The pain-CBT group will complete these questions daily after the relevant material is covered in class
Sleep and activity
Actigraphy devices will quantify 24 h sleep and activity variables including: total sleep time and efficiency, energy expenditure, MET rates, steps taken, physical activity intensity
0 and 3 mos
Guided relaxation (per participant discretion/ goal settings; continuous data)
An app will timestamp each time an SPP participant accesses the “SPP Relaxation Resource” on their device, thus providing an objective measure of skills use
0–3 mos (SPP)
Within 30 days of starting treatment, participants will complete a two-week baseline period of daily pain measures. Participants will also wear the actigraphy unit to collect activity/rest/sleep measurements during this period.
Three days before treatment, participants will be administered an online pre-treatment assessment of pain symptoms, emotional functioning, PCS, and general health and wellbeing.
At four weeks, there will be a mid-treatment assessment for the pain-CBT group only. Daily pain measures and actigraphy data will also be collected from weeks 3–5 for CBT participants.
We will administer a core set of outcomes measures immediately following treatment, and at one, two, three, five (for SPP and HE only), and six months post treatment. Two-week daily measures will be collected immediately post treatment and at one, two, and three months post treatment. Actigraphy data will also be collected immediately post treatment and at three months post treatment. The primary study endpoint is three months.
Participants may receive up to $300 for study completion.
Primary outcome measures
Our primary outcome measure is Trait PC at three months post treatment. Trait PC will be assessed using the sum score for the PCS [2, 19], a 13-item scale used to assess severity of Trait PC tendencies on a 5-point scale (0 = “not at all” to 4 = “all the time”). The PCS has three factors (helplessness, magnification, rumination) and has good psychometrics .
NIH PROMIS  will be administered to assess multiple variables of interest, including Pain Intensity, Pain Interference, Pain Behavior, Function, Depression, Anxiety, Sleep Disturbance, Sleep Interference, Anger, Global Health, and Fatigue. NIH PROMIS measures have been successfully applied in pain research [14, 22–24].
Participant self-confidence regarding their ability to participate in various life activities despite their pain will be assessed using the Pain Self-Efficacy Questionnaire (PSEQ) , a ten-item self-report instrument [23, 24, 26–29].
All participants will complete daily measures for a two-week period at each of the following time points: pre-treatment baseline; mid-treatment (for eight-week CBT); immediately after treatment; and at one, two, and three months post treatment. Daily measures will include the five-item Daily PCS, daily pain, mood, and function questions. In a single question for each theme, for the past 24 h, average back pain, highest level of back pain, pain interference, stress, positive emotions, negative emotions, and satisfaction with life are assessed. Skills use will be assessed by asking participants (SPP and CBT) to respond to three questions measuring frequency of use of cognitive, behavioral, and psychophysiological techniques over 24 h from 0 times to 5+ times. The pain-CBT group will complete these questions daily after the relevant material is covered in class.
Sleep and Activity will be assessed with actigraphy devices that quantify 24-h sleep and activity variables including: total sleep time and efficiency; energy expenditure; MET rates; steps taken; and physical activity intensity. A guided relaxation app will timestamp each time an SPP participant accesses the “SPP Relaxation Resource” on their device, thus providing an objective measure of skills use.
Data collection, quality control, and confidentiality
All questionnaires will be completed by participants in a REDCap database. Questionnaires collected on paper (due to unforeseen circumstances) will be stored as source data and a member of the study team will enter the data into the REDCap database. All staff will receive training on completing case report forms (CRFs) appropriately, reviewing CRFs for completeness, and maintaining participant confidentiality. We will collect information at every stage of recruitment, randomization, and treatment so that we can report patient flow according to the CONSORT (Consolidated Standards of Reporting Trials) guidelines .
Protection of human participants and assessment of safety
Protection of human participants
The Stanford University Institutional Review Board (IRB) approved this study.
This trial will be monitored for safety by an independent Data and Safety Monitoring Board (DSMB) composed of a clinical psychologist, a biostatistician, and a professor of psychiatry and behavioral medicine with expertise in chronic pain.
Adverse events (AEs) will be reported to the National Center for Complementary and Integrative Health (NCCIH), DSMB, and Stanford Institutional Review Board (IRB) annually. Serious adverse events (SAEs) that are determined to be related to the study will be reported to the IRB by filing a report on the Stanford IRB website. A copy of this report will be sent to the NCCIH officer. Unexpected fatal or life-threatening AEs related to the intervention will be reported to the NCCIH Program Officer within seven days. Other serious, unexpected, and related AEs will be reported to the NCCIH Program Official within 15 days and to the Stanford IRB within ten business days. Anticipated or unrelated SAEs will be handled in a less urgent manner but will be reported to the Independent Monitor(s), Stanford IRB, and NCCIH in accordance with their requirements. In the annual AE summary, the Independent Monitor(s) Report will state that they have reviewed all AE reports.
The trial will be stopped if the DSMB determines that there is a risk of SAEs in one or more of the treatment arms. In this case, the DSMB can decide if one of the treatment arms needed to be terminated.
Sample size and detectable differences
Our sample size was chosen to ensure adequate power to detect significant differences between each of the two treatment groups and the HE, as well as power to detect a statistically significant difference between the two treatment groups. The project will enroll 231 adults (ages 18–70 years) who meet criteria for axial low back pain without radicular symptoms.
To compare the mean difference in the SPP group against the HE group using a two-sample t-test, we conservatively plan to enroll 231 participants and have 165 completers (55 per group). The proposed sample size accounts for attrition at 25% for single session treatments and 35% for eight-session CBT. With this, we achieve 90% power to reject the null hypothesis of equal means when the population mean difference is 5 (63% of that seen in the pain-CBT literature; 45% of that seen in Preliminary Study 1) and 80% power to reject the null when the population mean difference is 4.3 (54% of that seen in the pain-CBT literature; 40% of that seen in Preliminary Study 1), with standard deviation (SD) for both groups of 8, α = 0.05, using a two-sided, two-sample equal-variance t-test.
For our primary analyses examining PCS scores at three months, the mean difference in the pain-CBT group is compared against the HE group using a two-sample t-test. The mean effect of pain-CBT on PCS is about 8 in the literature [14, 31]. Group sample sizes of 55 each in the pain-CBT and HE groups achieve 90% power to reject the null hypothesis of equal means when the population mean difference is 5 (63% of that seen in literature) and 80% power to reject the null when the population mean difference is 4.3 (53% of that seen in literature), with a SD for both groups of 8 and with a significance level (α) of 0.05 using a two-sided, two-sample equal-variance t-test.
For assessing whether SPP provides durable and substantial reduction in PC non-inferior to pain-CBT, a group sample size of 55 in each group achieve 80% power with margin of non-inferiority 4.3. The true difference between the means is assumed to be 0, the significance level (alpha) of the test is 0.025, and the population SD is 8 in both groups. Given the effect of eight-week CBT on PCS is about 8 [14, 31], this non-inferiority margin would imply the single-session SPP retains half of the effect of the eight-session pain-CBT on PCS, a clinically well-accepted level of superiority retention [32–34].
The association between changes in PC provided by SPP and objective physical function will be measured with correlation coefficient between changes from baseline to primary endpoint in PC and in each of the actigraphy measures for physical activity and for sleep. A sample size of 55 achieves 90% power to detect a correlation coefficient of 0.42 and 80% power to detect a coefficient of 0.37, using a two-sided hypothesis test with a significance level of 0.05. Multiple comparison adjustments will be made to protect the false discovery rate.
We intend to use an intention-to-treat (ITT) approach in all analyses; that is, the assessment of individuals will be analyzed by randomized group, regardless of participation in any classes. This approach will protect the effects of randomization from confounding introduced by subject dropout and crossover.
Compared to per protocol (PP) analysis, ITT is also considered conservative in the context of superiority hypothesis testing (Hypotheses 1 and 2, which are used to power this study). A main analysis will be performed of all valid observed data under a plausible assumption about the missing data. This will be followed by sensitivity analyses that accounts for all randomized patients, to explore the effect of departures from the assumption made in the main analysis. In addition, we note that in the context of non-inferiority hypothesis testing (Hypothesis 1c), the use of ITT instead of being conservative may bias the results toward non-inferiority. We will, thus, for Hypothesis 1c perform PP analysis as well as ITT analysis. Non-inferiority will be achieved only if both analyses afford the same inference of non-inferiority.
In our comparisons of treatments based on the outcome measures, we will analyze outcomes assessment using a number of statistical methods. For instance, for our primary hypotheses, a two-sample t-test will be used to test the mean difference in the SPP group compared with the HE, the mean difference in the eight-week CBT group compared to the HE group, and the mean difference in the SPP group compared to the eight-week CBT group. An rmANOVA will be used to test whether SPP will be superior to HE and non-inferior to eight-week pain-CBT for longitudinal changes in PROMIS pain intensity and behavior, fatigue, and sleep disturbance. Finally, the association between changes in PC provided by SPP and objective physical function will be tested with correlation coefficients between changes from baseline to primary endpoint in PC and in each of the actigraphy measures for physical activity and for sleep.
Multi-level modeling (MLM) will be used to characterize treatment effects on Daily PC fluctuations, and the impact of Daily PCS changes on Trait PC, longitudinal PROMIS measures, actigraphy (activity and sleep). For example, MLM will be used to account for subject-level (level 2) effects, particularly the effect of the intervention as well as daily level variations in PC. In addition, MLM will be used to test whether the relationship between daily PC and levels in same-day and next-day pain and activity is reduced by SPP and CBT interventions compared to the HE group, using the intervention as the moderator of Daily PC effect on next-day pain and activity. An analysis of level-2 variance will be performed in the MLM framework to test whether Daily PC mean changes from baseline to one month post treatment will predict mean change in pain, activity, sleep, and Trait PC from one to three months post treatment (for the SPP and CBT groups). Finally, MLM will be used to test whether previous-day use of SPP / CBT skills will predict next day improvement in Daily PC. The analysis will account for subject-level (Level 2) effects, particularly daily level variations in use of SPP skills.
In this trial, we will seek to determine whether a single-session targeted PC class is an effective treatment option for persons with chronic back pain. The efficient format of SPP will facilitate application across a variety of settings, such as in primary care or in pre-surgical populations where PC treatment stands to prevent the development of CLBP [7, 25, 35]. The SPP intervention is highly scalable and easily lends itself to broad dissemination across settings—outpatient, inpatient, pre-surgical, and community through various technologies (e.g. DVD or a web-based video class). In this trial, we will compare the effectiveness of a single-session PC class with that of CBT, which has been found to be effective for back pain but is not widely available. The study will also characterize how reduced variability in Daily PC and mean levels of Daily PC influence future Trait PC, thereby revealing the mechanisms that facilitate enduring changes in PC. Such critical knowledge will facilitate the development of interventions that specifically target the factors that facilitate positive cognitive and emotional neuroplasticity. Additional validation studies will be required before implementation in other patient populations. If the single-session PC class is shown to be an effective treatment for patients with CLBP, with its low cost and low burden, this treatment could dismantle many of the current barriers and burdens of effective pain care Additional file 1.
Protocol (NCT03167086) was registered on 22 May 2017 and recruitment began in June 2017. The first participant was enrolled in the study on 8 June 2017. Recruitment will be completed in May 2020.
The National Center for Complementary and Integrative Health (NCCIH) provided funding for this trial (grant R01 AT008561). Also, thanks to the National Institute of Health for providing funding (NIH T32 035165). The design of this clinical trial was approved by the NCCIH Office of Clinical and Regulatory Affairs.
NIH R01 AT008561 (BDD, SCM), 5K24DA029262–07 (SCM), and NIH T32 035165 (MZ). All study protocol and instruments were approved by The National Center for Complementary and Integrative Health (NCCIH). In addition, NCCIH commissions Westat to conduct an initiation visit and subsequent internal annual audits.
Availability of data and materials
Data will be available on clinicaltrials.gov (NCT03167086) under “Single Session Pain Catastrophizing Treatment: Comparative Efficacy and Mechanisms.”
BDD and SCM conceived of the trial. BDD created the single-session pain catastrophizing intervention and KL developed the Health Education Control materials. BDD, JWB, JAS, KFC, SCM, CJT, and AR refined the protocol and selected measures. MCK and KFC developed plans for the statistical analyses. JWB and JAS developed plans for mediator analyses. MSZ, AR, and BDD drafted the manuscript. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The study was approved by Stanford’s Institutional Review Board (protocol no. 34631), 3000 El-Camino Real, Five Palo Alto Square, 4th Floor, Palo Alto, CA 94306, USA. We are obtaining informed consent from all participants in the study.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Simon LS. Relieving pain in America: A blueprint for transforming prevention, care, education, and research. J Pain Palliat Care Pharmacother. 2012;26:197–8.View ArticleGoogle Scholar
- Freburger JK, Holmes GM, Agans RP, Jackman AM, Darter JD, Wallace AS, et al. The rising prevalence of chronic low back pain. Arch Intern Med. 2009;169:251–8. https://doi.org/10.1001/archinternmed.2008.543 View ArticlePubMedPubMed CentralGoogle Scholar
- Hoy D, Bain C, Williams G, March L, Brooks P, Blyth F, et al. A systematic review of the global prevalence of low back pain. Arthritis Rheum. 2012;64:2028–37. https://doi.org/10.1002/art.34347 View ArticlePubMedGoogle Scholar
- Wertli MM, Burgstaller JM, Weiser S, Steurer J, Kofmehl R, Held U. Influence of catastrophizing on treatment outcome in patients with nonspecific low back pain: a systematic review. Spine. 2014;39:263–73. https://doi.org/10.1097/BRS.0000000000000110 View ArticlePubMedGoogle Scholar
- Sullivan MJ, Bishop SR, Pivik J. The pain catastrophizing scale: development and validation. Psychol Assess. 1995;7:524. https://doi.org/10.1037//104035188.8.131.524 View ArticleGoogle Scholar
- Burton AK, Tillotson KM, Main CJ, Hollis S. Psychosocial predictors of outcome in acute and subchronic low back trouble. Spine. 1995;20:722–8.View ArticlePubMedGoogle Scholar
- Picavet HSJ, Vlaeyen JW, Schouten JS. Pain catastrophizing and kinesiophobia: predictors of chronic low back pain. Am J Epidemiol. 2002;156:1028–34. https://doi.org/10.1093/aje/kwf136 View ArticlePubMedGoogle Scholar
- Darnall BD, Sturgeon JA, Kao M-C, Hah JM, Mackey SC. From catastrophizing to recovery: a pilot study of a single-session treatment for pain catastrophizing. J Pain Res. 2014;7:219. https://doi.org/10.2147/JPR.S62329 View ArticlePubMedPubMed CentralGoogle Scholar
- Turk DC, Dworkin RH, Allen RR, Bellamy N, Brandenburg N, Carr DB, et al. Core outcome domains for chronic pain clinical trials: IMMPACT recommendations. Pain. 2003;106:337–45. https://doi.org/10.1016/j.pain.2003.08.001 View ArticlePubMedGoogle Scholar
- Deyo RA, Dworkin SF, Amtmann D, Andersson G, Borenstein D, Carragee E, et al. Report of the NIH Task Force on research standards for chronic low back pain. Pain Med. 2014;15:1249–67. https://doi.org/10.1016/j.jpain.2014.03.005 View ArticlePubMedGoogle Scholar
- Aggarwal VR, Lovell K, Peters S, Javidi H, Joughin A, Goldthorpe J. Psychosocial interventions for the management of chronic orofacial pain. Cochrane Database Syst Rev. 2011;11:CD008456. https://doi.org/10.1002/14651858.CD008456.pub2 Google Scholar
- Glombiewski JA, Sawyer AT, Gutermann J, Koenig K, Rief W, Hofmann SG. Psychological treatments for fibromyalgia: a meta-analysis. Pain. 2010;151:280–95. https://doi.org/10.1016/j.pain.2010.06.011 View ArticlePubMedGoogle Scholar
- Henschke N, Ostelo RW, van Tulder MW, Vlaeyen JW, Morley S, Assendelft WJ, et al. Behavioural treatment for chronic low-back pain. Cochrane Database Syst Rev. 2010;7:CD002014. https://doi.org/10.1002/14651858.CD002014.pub3 Google Scholar
- Williams ACC, Eccleston C, Morley S. Psychological therapies for the management of chronic pain (excluding headache) in adults. Cochrane Database Syst Rev. 2012;11:CD007407. https://doi.org/10.1002/14651858.CD007407.pub3 PubMedGoogle Scholar
- Cherkin DC, Sherman KJ, Balderson BH, Cook AJ, Anderson ML, Hawkes RJ, et al. Effect of mindfulness-based stress reduction vs cognitive behavioral therapy or usual care on back pain and functional limitations in adults with chronic low back pain: a randomized clinical trial. JAMA. 2016;315:1240–9. https://doi.org/10.1001/jama.2016.2323 View ArticlePubMedPubMed CentralGoogle Scholar
- Cherkin DC, Sherman KJ, Balderson BH, Turner JA, Cook AJ, Stoelb B, et al. Comparison of complementary and alternative medicine with conventional mind–body therapies for chronic back pain: protocol for the Mind–body Approaches to Pain (MAP) randomized controlled trial. Trials. 2014;15:211. https://doi.org/10.1186/1745-6215-15-211 View ArticlePubMedPubMed CentralGoogle Scholar
- Turk DC, Winter F. The pain survival guide: How to reclaim your life. Washington, DC: American Psychological Association; 2006.View ArticleGoogle Scholar
- Kinser PA, Robins JL. Control group design: enhancing rigor in research of mind-body therapies for depression. Evid Based Complement Alternat Med. 2013;2013:140467. https://doi.org/10.1155/2013/140467 View ArticlePubMedPubMed CentralGoogle Scholar
- Papaioannou M, Skapinakis P, Damigos D, Mavreas V, Broumas G, Palgimesi A. The role of catastrophizing in the prediction of postoperative pain. Pain Med. 2009;10:1452–9. https://doi.org/10.1111/j.1526-4637.2009.00730.x View ArticlePubMedGoogle Scholar
- Martel M, Wasan A, Jamison R, Edwards RR. Catastrophic thinking and increased risk for prescription opioid misuse in patients with chronic pain. Drug Alcohol Depend. 2013;132:335–41. https://doi.org/10.1016/j.drugalcdep.2013.02.034 View ArticlePubMedPubMed CentralGoogle Scholar
- Linton SJ. Do psychological factors increase the risk for back pain in the general population in both a cross-sectional and prospective analysis? Eur J Pain. 2005;9:355. https://doi.org/10.1016/j.ejpain.2004.08.002 View ArticlePubMedGoogle Scholar
- Burns J, Glenn B, Bruehl S, Harden R, Lofland K. Cognitive factors influence outcome following multidisciplinary chronic pain treatment: a replication and extension of a cross-lagged panel analysis. Behav Res Ther. 2003;41:1163–82. https://doi.org/10.1016/S0005-7967(03)00029-9 View ArticlePubMedGoogle Scholar
- Burns JW, Kubilus A, Bruehl S, Harden RN, Lofland K. Do changes in cognitive factors influence outcome following multidisciplinary treatment for chronic pain? A cross-lagged panel analysis. J Consult Clin Psychol. 2003;71:81. https://doi.org/10.1037/0022-006X.71.1.81 View ArticlePubMedGoogle Scholar
- Turner JA, Holtzman S, Mancl L. Mediators, moderators, and predictors of therapeutic change in cognitive–behavioral therapy for chronic pain. Pain. 2007;127:276–86. https://doi.org/10.1016/j.pain.2006.09.005 View ArticlePubMedGoogle Scholar
- Abbott AD, Tyni-Lenné R, Hedlund R. Leg pain and psychological variables predict outcome 2–3 years after lumbar fusion surgery. Eur Spine J. 2011;20:1626–34. https://doi.org/10.1007/s00586-011-1709-6 View ArticlePubMedPubMed CentralGoogle Scholar
- Brister H, Turner JA, Aaron LA, Mancl L. Self-efficacy is associated with pain, functioning, and coping in patients with chronic temporomandibular disorder pain. J Orofac Pain. 2006;20:115–24.PubMedGoogle Scholar
- Jerant A, Moore M, Lorig K, Franks P. Perceived control moderated the self-efficacy-enhancing effects of a chronic illness self-management intervention. Chronic Illn. 2008;4:173–82. https://doi.org/10.1177/1742395308089057 View ArticlePubMedGoogle Scholar
- Lorig K, Chastain RL, Ung E, Shoor S, Holman HR. Development and evaluation of a scale to measure perceived self-efficacy in people with arthritis. Arthritis Rheum. 1989;32:37–44. https://doi.org/10.1002/anr.1780320107 View ArticlePubMedGoogle Scholar
- Marks R, Allegrante JP. A review and synthesis of research evidence for self-efficacy-enhancing interventions for reducing chronic disability: implications for health education practice (part II). Health Promot Pract. 2005;6:148–56. https://doi.org/10.1177/1524839904266792 View ArticlePubMedGoogle Scholar
- Boutron I, Moher D, Altman DG, Schulz KF, Ravaud P. Extending the CONSORT statement to randomized trials of nonpharmacologic treatment: explanation and elaboration. Ann Intern Med. 2008;148:295–309. https://doi.org/10.7326/00034819-148-4-200802190-00008 View ArticlePubMedGoogle Scholar
- Thorn BE, Day MA, Burns J, Kuhajda MC, Gaskins SW, Sweeney K, et al. Randomized trial of group cognitive behavioral therapy compared with a pain education control for low-literacy rural people with chronic pain. Pain. 2011;152:2710–20. https://doi.org/10.1016/j.pain.2011.07.007 View ArticlePubMedPubMed CentralGoogle Scholar
- D’Agostino RB, Campbell M, Greenhouse J. Non-inferiority trials: continued advancements in concepts and methodology (special papers for the 25th anniversary of Statistics in Medicine25 (7)). Stat Med. 2006;25:1097–9. https://doi.org/10.1002/sim.2553 View ArticlePubMedGoogle Scholar
- D’Agostino RB, Massaro JM, Sullivan LM. Non-inferiority trials: design concepts and issues–the encounters of academic consultants in statistics. Stat Med. 2003;22:169–86. https://doi.org/10.1002/sim.1425 View ArticlePubMedGoogle Scholar
- Jones B, Jarvis P, Lewis J, Ebbutt A. Trials to assess equivalence: the importance of rigorous methods. BMJ. 1996;313:36. https://doi.org/10.1136/bmj.313.7048.36 View ArticlePubMedPubMed CentralGoogle Scholar
- Severeijns R, Vlaeyen JW, van den Hout MA, Weber WE. Pain catastrophizing predicts pain intensity, disability, and psychological distress independent of the level of physical impairment. Clin J Pain. 2001;17:165–72.View ArticlePubMedGoogle Scholar
- Lecrubier Y, Sheehan DV, Weiller E, Amorim P, Bonora I, Sheehan KH, et al. The Mini International Neuropsychiatric Interview (MINI). A short diagnostic structured interview: reliability and validity according to the CIDI. Eur Psychiatry. 1997;12:224–31. https://doi.org/10.1016/S0924-9338(97)83296-8 View ArticleGoogle Scholar
- Beck AT, Steer RA, Brown GK. Beck depression inventory-II. San Antonio, TX: Psychological Corporation; 1996.Google Scholar
- First M, Williams J, Karg R, Spitzer R. Structured clinical interview for DSM-5—Research version (SCID-5 for DSM-5, research version; SCID-5-RV). Arlington, VA: American Psychiatric Association; 2015.Google Scholar
- Fish RA, McGuire B, Hogan M, Morrison TG, Stewart I. Validation of the Chronic Pain Acceptance Questionnaire (CPAQ) in an Internet sample and development and preliminary validation of the CPAQ-8. Pain. 2010;149:435–43. https://doi.org/10.1016/j.pain.2009.12.016 View ArticlePubMedGoogle Scholar
- Martin S. West Haven-Yale Multidimensional Pain Inventory: psychometrische Eigenschaften und Anwendungsmöglichkeiten in der Praxis; Überprüfung, Beurteilung, Vorschläge. na; 1993.Google Scholar
- Diener E, Emmons R, Larsen R, Griffin S. The Satisfaction With Life Scale. J Pers Assess. 1985;49:71–5.View ArticlePubMedGoogle Scholar
- Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983:385–96. https://doi.org/10.2307/2136404
- Bernstein DP, Ahluvalia T, Pogge D, Handelsman L. Validity of the Childhood Trauma Questionnaire in an adolescent psychiatric population. J Am Acad Child Adolesc Psychiatry. 1997;36:340–8. https://doi.org/10.1097/00004583-199703000-00012 View ArticlePubMedGoogle Scholar
- Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54:1063. https://doi.org/10.1037/0022-35184.108.40.2063 View ArticlePubMedGoogle Scholar
- Dworkin RH, Turk DC, Farrar JT, Haythornthwaite JA, Jensen MP, Katz NP, et al. Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain. 2005;113:9–19. https://doi.org/10.1016/j.pain.2004.09.012 View ArticlePubMedGoogle Scholar
- Tracey TJ, Kokotovic AM. Factor structure of the working alliance inventory. Psychol Assess. 1989;1:207. https://doi.org/10.1037/1040-35220.127.116.11 View ArticleGoogle Scholar
- Younger J, Gandhi V, Hubbard E, Mackey S. Development of the Stanford Expectations of Treatment Scale (SETS): a tool for measuring patient outcome expectancy in clinical trials. Clin Trials. 2012;9:767–76. https://doi.org/10.1177/1740774512465064 View ArticlePubMedGoogle Scholar
- Devilly GJ, Borkovec TD. Psychometric properties of the credibility/expectancy questionnaire. J Behav Ther Exp Psychiatry. 2000;31:73–86. https://doi.org/10.1016/S0005-7916(00)00012-4 View ArticlePubMedGoogle Scholar
- Revicki DA, Chen W-H, Harnam N, Cook KF, Amtmann D, Callahan LF, et al. Development and psychometric analysis of the PROMIS pain behavior item bank. Pain. 2009;146:158–69. https://doi.org/10.1016/j.pain.2009.07.029 View ArticlePubMedPubMed CentralGoogle Scholar
- Hung M, Hon SD, Franklin JD, Kendall RW, Lawrence BD, Neese A, et al. Psychometric properties of the PROMIS physical function item bank in patients with spinal disorders. Spine (Phila Pa 1976). 2014;39:158–63. https://doi.org/10.1097/BRS.0000000000000097 View ArticleGoogle Scholar
- Lai JS, Cella D, Choi S, Junghaenel DU, Christodoulou C, Gershon R, et al. How item banks and their application can influence measurement practice in rehabilitation medicine: a PROMIS fatigue item bank example. Arch Phys Med Rehabil. 2011;92:S20–7. https://doi.org/10.1016/j.apmr.2010.08.033 View ArticlePubMedPubMed CentralGoogle Scholar
- Revicki DA, Cook KF, Amtmann D, Harnam N, Chen WH, Keefe FJ. Exploratory and confirmatory factor analysis of the PROMIS pain quality item bank. Qual Life Res. 2014;23:245–55. https://doi.org/10.1007/s11136-013-0467-9 View ArticlePubMedGoogle Scholar
- Fries JF, Bruce B, Cella D. The promise of PROMIS: using item response theory to improve assessment of patient-reported outcomes. Clin Exp Rheumatol. 2005;23:S53–7.PubMedGoogle Scholar
- Turner JA, Mancl L, Aaron LA. Brief cognitive-behavioral therapy for temporomandibular disorder pain: effects on daily electronic outcome and process measures. Pain. 2005;117:377–87. https://doi.org/10.1016/j.pain.2005.06.025 View ArticlePubMedGoogle Scholar