Physical and psychological correlates of fatigue and physical function: a Collaborative Health Outcomes Information Registry (CHOIR) study

Reducing pain by improving brain and muscle activity with motor cortical neuromodulation in women with interstitial cystitis/bladder pain syndrome: a study protocol for a randomized controlled trial

INTRODUCTION

Interstitial cystitis/bladder pain syndrome (IC/BPS) is a chronic pain condition creating a wide range of urologic and pain symptoms. There is currently limited evidence to understand the mechanisms of IC/BPS. There have been recent studies suggesting that altered function in brain motor areas, particularly the supplementary motor cortex (SMA), relates to altered bladder sensorimotor control and may play an important role in IC/BPS. This study aims to provide evidence that non-invasive stimulation targeting the motor cortex may help reduce IC/BPS pain, as well as better understand the neural mechanism by which this stimulation targets neuromuscular dysfunction. This study is a two-group quadruple-blinded randomized controlled trial (RCT) of active vs. sham repetitive transmagnetic stimulation (rTMS). In addition, our study will also include functional magnetic resonance imaging (fMRI), pelvic floor electromyography (EMG), pelvic exam, and outcome measures and questionnaires to further study outcomes.

ETHICS AND DISSEMINATION

All aspects of the study were approved by the Institutional Review Board of the University of Southern California (protocol HS-20-01021). All participants provided informed consent by the research coordinator/assistants. The results will be submitted for publication in peer-reviewed journals and disseminated at scientific conferences.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04734847. Registered on February 1, 2021.

The Impact of Non-Pain Factors on Pain Interference Among U.S. Service Members and Veterans with Symptoms of Mild Traumatic Brain Injury

U.S. Service members and Veterans (SM/V) experience elevated rates of traumatic brain injury (TBI), chronic pain, and other non-pain symptoms. However, the role of non-pain factors on pain interference levels remains unclear among SM/Vs, particularly those with a history of TBI. The primary objective of this study was to identify factors that differentiate high/low pain interference, given equivalent pain intensity among U.S. SM/V participating in the ongoing Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC) national multi-center prospective longitudinal observational study. An explainable machine learning was used to identify key predictors of pain interference conditioned on equivalent pain intensity. The final sample consisted of n = 1,577 SM/Vs who were predominantly male (87%), and 83.6% had a history of mild TBI(s) (mTBI), while 16.4% were TBI negative controls. The sample was categorized according to pain interference level (Low: 19.9%, Moderate: 52.5%, and High: 27.6%). Both pain intensity scores and pain interference scores increased with the number of mTBIs (p < 0.001), and there was evidence of a dose response between the number of injuries and pain scores. Machine learning models identified fatigue and anxiety as the most important predictors of pain interference, whereas emotional control was protective. Partial dependence plots identified that marginal effects of fatigue and anxiety were associated with pain interference (p < 0.001), but the marginal effect of mTBI was not significant in models considering all variables (p > 0.05). Non-pain factors are associated with functional limitations and disability experience among SM/V with an mTBI history. The functional effects of pain may be mediated through multiple other factors. Pain is a multi-dimensional experience that may benefit most from holistic treatment approaches that target comorbidities and build supports that promote recovery.

Hierarchical Clustering Applied to Chronic Pain Drawings Identifies Undiagnosed Fibromyalgia: Implications for Busy Clinical Practice

Currently-used assessments for fibromyalgia require clinicians to suspect a fibromyalgia diagnosis, a process susceptible to unintentional bias. Automated assessments of standard patient-reported outcomes (PROs) could be used to prompt formal assessments, potentially reducing bias. We sought to determine whether hierarchical clustering of patient-reported pain distribution on digital body map drawings predicted fibromyalgia diagnosis. Using an observational cohort from the University of Pittsburgh's Patient Outcomes Repository for Treatment registry, which contains PROs and electronic medical record data from 21,423 patients (March 17, 2016-June 25, 2019) presenting to pain management clinics, we tested the hypothesis that hierarchical clustering subgroup was associated with fibromyalgia diagnosis, as determined by ICD-10 code. Logistic regression revealed a significant relationship between the body map cluster subgroup and fibromyalgia diagnosis. The cluster subgroup with the most body areas selected was the most likely to receive a diagnosis of fibromyalgia when controlling for age, gender, anxiety, and depression. Despite this, more than two-thirds of patients in this cluster lacked a clinical fibromyalgia diagnosis. In an exploratory analysis to better understand this apparent underdiagnosis, we developed and applied proxies of fibromyalgia diagnostic criteria. We found that proxy diagnoses were more common than ICD-10 diagnoses, which may be due to less frequent clinical fibromyalgia diagnosis in men. Overall, we find evidence of fibromyalgia underdiagnosis, likely due to gender bias. Coupling PROs that take seconds to complete, such as a digital pain body map, with machine learning is a promising strategy to reduce bias in fibromyalgia diagnosis and improve patient outcomes. PERSPECTIVE: This investigation applies hierarchical clustering to patient-reported, digital pain body maps, finding an association between body map responses and clinical fibromyalgia diagnosis. Rapid, computer-assisted interpretation of pain body maps would be clinically useful in prompting more detailed assessments for fibromyalgia, potentially reducing gender bias.

A Biopsychosocial Approach to Persistent Post-COVID-19 Fatigue and Cognitive Complaints: Results of the Prospective Multicenter NeNeSCo Study

OBJECTIVE

To evaluate whether psychological and social factors complement biomedical factors in understanding post-COVID-19 fatigue and cognitive complaints. Additionally, to incorporate objective (neuro-cognitive) and subjective (patient-reported) variables in identifying factors related to post-COVID-19 fatigue and cognitive complaints.

DESIGN

Prospective, multicenter cohort study.

SETTING

Six Dutch hospitals.

PARTICIPANTS

205 initially hospitalized (March-June 2020), confirmed patients with SARS-CoV-2, aged ≥18 years, physically able to visit the hospital, without prior cognitive deficit, magnetic resonance imaging (MRI) contraindication, or severe neurologic damage post-hospital discharge (N=205).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Nine months post-hospital discharge, a 3T MRI scan and cognitive testing were performed and patients completed questionnaires. Medical data were retrieved from medical dossiers. Hierarchical regression analyses were performed on fatigue severity (Fatigue Severity Scale; FSS) and cognitive complaints (Cognitive Consequences after Intensive Care Admission; CLC-IC; dichotomized into CLC-high/low). Variable blocks: (1) Demographic and premorbid factors (sex, age, education, comorbidities), (2) Illness severity (ICU/general ward, PROMIS physical functioning [PROMIS-PF]), (3) Neuro-cognitive factors (self-reported neurological symptoms, MRI abnormalities, cognitive performance), (4) Psychological and social factors (Hospital Anxiety and Depression Scale [HADS], Utrecht Coping List, Social Support List), and (5) Fatigue or cognitive complaints.

RESULTS

The final models explained 60% (FSS) and 48% (CLC-IC) variance, with most blocks (except neuro-cognitive factors for FSS) significantly contributing. Psychological and social factors accounted for 5% (FSS) and 11% (CLC-IC) unique variance. Higher FSS scores were associated with younger age (P=.01), lower PROMIS-PF (P<.001), higher HADS-Depression (P=.03), and CLC-high (P=.04). Greater odds of CLC-high were observed in individuals perceiving more social support (OR=1.07, P<.05).

CONCLUSIONS

Results show that psychological and social factors add to biomedical factors in explaining persistent post-COVID-19 fatigue and cognitive complaints. Objective neuro-cognitive factors were not associated with symptoms. Findings highlight the importance of multidomain treatment, including psychosocial care, which may not target biologically-rooted symptoms directly but may reduce associated distress.

Establishing the interpretability and utility of the 4-item BriefPCS

To reduce the patient burden associated with completing the 13-item Pain Catastrophizing Scale (PCS), the 4-item "BriefPCS" was developed. To date, no crosswalk has been developed that associates scores on the BriefPCS with PCS scores. Further, no study has compared the use of BriefPCS and PCS scores in a randomized clinical trial (RCT). We aimed to: (1) establish the interpretability of BriefPCS scores in reference to PCS scores, (2) compare the concurrent validity between the BriefPCS and PCS, and (3) asssess the use of BriefPCS in an RCT. First, we conducted equipercentile linking, created a crosswalk that associated scores of BriefPCS with PCS, and calculated differences between PCS and crosswalked PCS scores. Secondly, we compared Bootstrap correlation coefficients between PCS and self-reported measures of other domains. Lastly, we compared results from an RCT using BriefPCS scores versus PCS scores. Findings indicated that the correlation coefficient estimates with the BriefPCS and PCS scores were not significantly different. BriefPCS and PCS scores had similar ability to detect treatment-related changes. The BriefPCS scores validly, reliably, and accurately distinguish levels of pain catastrophizing. Additionally, the BriefPCS scores are sensitive to changes after behavioral interventions, with less respondent burden compared to the PCS scores.

Mental Health Predictors of Response to Standard Medical Intervention at a Military Pain Specialty Clinic

INTRODUCTION

Chronic pain among active duty service members can negatively impact operational readiness and contributes to significant health care costs within military treatment facilities. Response to standard medical intervention (SMI) for chronic pain is highly variable. The objective of the current study was to examine whether mental health indicators predict individual variation in response to SMI for chronic pain in a military pain specialty clinic.

METHODS

This is a retrospective observational study of data previously collected at the Pain Medicine Center at Naval Medical Center San Diego (NMCSD) approved by the NMCSD Institutional Review Board. We included 286 ADSMs who completed the Pain Assessment Screening Tool and Outcomes Registry (PASTOR) at two assessment points (mean = 118.45 days apart, SD = 37.22) as part of standard care. Hierarchical linear regression analyses were conducted to examine whether pretreatment mental health measures predict changes in the pain impact score (PIS)-a composite measure of pain intensity, pain interference, and physical functioning-over the course of treatment.

RESULTS

After controlling for pretreatment PIS, pretreatment PTSD symptoms, fatigue, and anger were all significant predictors of posttreatment PIS: Higher PTSD symptoms, higher fatigue, and lower anger predicted poorer response to treatment (all Ps < .05).

CONCLUSION

Higher pretreatment PTSD and fatigue symptoms may portend poorer response to SMI for chronic pain. Poor response to treatment may also be predicted by lower pretreatment anger. Further investigation is warranted to identify the best strategies for treating chronic pain in military treatment facilities when these conditions are identified during initial evaluation.

Self-regulation of effort for a better health-related quality of life: a multidimensional activity pacing model for chronic pain and fatigue management

PURPOSE

To propose a comprehensive multidimensional model of activity pacing that improves health-related quality of life and promotes sustained physical activity engagement among adults with chronic conditions.

MATERIALS AND METHODS

A narrative review was conducted to examine the existing literature on activity pacing, health-related quality of life, pain and fatigue management, and physical activity promotion in chronic conditions.

RESULTS

The literature revealed a lack of a cohesive approach towards a multidimensional model for using activity pacing to improve health-related quality of life. A comprehensive multidimensional model of activity pacing was proposed, emphasizing the importance of considering all aspects of pacing for sustained physical activity engagement and improved health-related quality of life. The model incorporates elements such as rest breaks, self-regulatory skills, environmental factors, and effective coping strategies for depression/anxiety. It takes into account physical, psychological, and environmental factors, all of which contribute significantly to the enhancement of health-related quality of life, physical function, and overall well-being, reflecting a holistic approach.

CONCLUSIONS

The model offers guidance to researchers and clinicians in effectively educating patients on activity pacing acquisition and in developing effective interventions to enhance physical activity engagement and health outcomes among adults with chronic conditions. Additionally, it serves as a tool towards facilitating discussions on sustained physical activity and a healthy lifestyle for patients, which can eventually lead to improved quality of life.

Occupational engagement, fatigue, and upper and lower extremity abilities in persons with melorheostosis

INTRODUCTION

Melorheostosis is a rare bone disorder with limited literature that describes the effect of this disease on functional and motor abilities. As part of a natural history study, four outcome measures were administered to better understand the burden this disease has on a person's ability to engage in basic and instrumental activities of daily living.

OBJECTIVE

To investigate the relationship between functional engagement, fatigue, and motor ability in patients with melorheostosis.

DESIGN

Cross-sectional data gathered from a longitudinal natural history observational study.

SETTING

Rehabilitation department within a single institution.

PARTICIPANTS

Forty-seven adult volunteers with melorheostosis were enrolled. Two participants were removed for failure to meet diagnosis eligibility. Thirty patients had lower extremity (LE) osteosclerotic bone lesions, 14 had upper extremity (UE) lesions, and one had lesions in both UEs and LEs.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Activity Card Sort, Second Edition (ACS); Multi-Dimensional Fatigue Inventory; Lower Extremity Functional Scale; Upper Extremity Functional Index.

RESULTS

On the ACS, high-demand leisure (HDL) activities were the least retained (p < .001). Of the activities rated most important, HDL activities were the most likely to have been given up (27%). General fatigue (μ = 11.8) and physical fatigue (μ = 11.0) were the two most limiting fatigue constructs. There were moderate negative correlations with HDL activities compared to physical fatigue (r = -0.524, p < .001) and reduced activity fatigue (r = -0.58, p = .001). LE lesions had a large effect on completing LE tasks (d = 0.95) and UE lesions had a medium effect on completing tasks involving the UE (d = 0.69).

CONCLUSIONS

Patients with melorheostosis experience fatigue and low engagement in HDL activities. The results of this study underscore the importance of acknowledging activity domain, fatigue constructs, and lesion location to support and provide targeted evidence-based rehabilitative therapy.

CLINICAL TRIAL REGISTRATION NUMBER

NCT02504879.

Self-reported pain and fatigue are associated with physical and cognitive function in middle to older-aged adults

Persistent fatigue is often reported in those with chronic musculoskeletal pain. Separately, both chronic pain and chronic fatigue contribute to physical and cognitive decline in older adults. Concurrent pain and fatigue symptoms may increase disability and diminish quality of life, though little data exist to show this. The purpose of this study was to examine associations between self-reported pain and fatigue, both independently and combined, with cognitive and physical function in middle-older-aged adults with chronic knee pain. Using a cross-sectional study design participants (n = 206, age 58.0 ± 8.3) completed questionnaires on pain and fatigue, a physical performance battery to assess physical function, and the Montreal Cognitive Assessment. Hierarchical regressions and moderation analyses were used to assess the relationship between the variables of interest. Pain and fatigue both predicted physical function (β = -0.305, p < 0.001; β = -0.219, p = 0.003, respectively), however only pain significantly predicted cognitive function (β = -0.295, p <0.001). A centered pain*fatigue interaction was a significant predictor of both cognitive function (β = -0.137, p = 0.049) and physical function (β = -0.146, p = 0.048). These findings indicate that self-reported fatigue may contribute primarily to decline in physical function among individuals with chronic pain, and less so to decline in cognitive function. Future studies should examine the impact of both cognitive and physical function decline together on overall disability and health.

Patterns of Change in Pain-related Physical, Mental, and Social Health Outcomes in a Military Population

OBJECTIVE

Military persons frequently experience pain conditions stemming from noncombat and combat injuries. This study assessed the patterns of change over time and the associations of pain intensity and interference with physical, mental, and social health domains in a military sample.

METHODS

A secondary analysis of Pain Assessment Screening Tool and Outcomes Registry (PASTOR) was conducted using data collected over 10 months. Participants selected for analysis completed ≥3 assessments with an interval of ≥14 days between assessments. The Defense and Veterans Pain Rating Scale (DVPRS) measured average and worst pain intensity, and Patient-Reported Outcomes Measurement Information System (PROMIS®) T-scores measured pain and health outcomes.

RESULTS

The sample (N = 190) majority reported being active duty (96%); serving in the U.S. Army (93%); and being enlisted (86%). The percent difference from assessment one to assessment three showed improvement for DVPRS average pain (-4.85%) and worst pain (-2.16%), and PROMIS Pain Interference T-score (-1.98%). Improvements were observed for all PROMIS outcomes except depression. The Defense and Veterans Pain Rating Scale average and worst pain intensity and PROMIS pain interference were strongly correlated with physical function. Multilevel models showed that an increase in average and worst pain, and pain interference were associated with a decrease in satisfaction with social roles.

CONCLUSION

Analysis identified patterns of change over time in physical, mental, and social health outcomes, as well as associations important to understanding the complexities of pain. This work has implications for pain management nursing in ambulatory settings where ongoing collection and analyses of multivariable outcomes data can inform clinical care.

Association of cannabis and/or opioid with quality of life and healthcare utilization in patients with chronic pain

Background

Opioids have been commonly used to treat chronic pain, but they are associated with significant morbidity and mortality. Cannabis has been advocated as an alternative; however, a growing number of patients are now using a combination of opioid and cannabis and the impact of this combination is not well-studied.

Aim

We characterized use of opioid and/or cannabis in patients with chronic pain; and compared utilization of healthcare resources.

Methods

We conducted a cross-sectional study to determine if measures of physical, psychological and social functioning differed among patients according to whether they used opioids and/or cannabis. We used our learning healthcare system - CHOIR - to capture NIH Patient Reported Outcomes Measure Information System surveys, and legacy pain and treatment specific questions.

Results

Patients who report use of opioid and/or cannabis experience higher levels of physical, psychological and social distress. After adjusting for inversed weight of propensity scores, they have higher odds of visiting an emergency room, staying overnight at the hospital, and visiting a physician.

Conclusion

Our results show that use of opioid and/or cannabis is associated with worse baseline characteristics and outcomes. Our study however cannot determine if worse outcomes are due to the opioids and/or cannabis or simply that these patients are worse off before using opioids and/or cannabis. Thus, it is important to characterize the trajectory of these patients in a prospective longitudinal study.

"Pain, Stress, and Emotions": Uncontrolled trial of a single-session, telehealth, emotional awareness and expression therapy class for patients with chronic pain

Objectives

Trauma- and emotion-focused chronic pain interventions, particularly Emotional Awareness and Expression Therapy (EAET), show much promise for reducing pain and improving functioning. We developed a novel, single-session, telehealth-delivered EAET class ("Pain, Stress, and Emotions"; PSE) and tested it on adults with chronic pain of mixed etiology.

Methods

After an initial developmental phase, we conducted an uncontrolled trial, providing PSE to 74 individuals with chronic pain (63.5% female; 64.9% White; 60.8% with pain duration >5 years) in four class administrations. Participants completed self-report measures (primary outcomes: pain intensity and pain interference) at baseline and multiple follow-ups to 12 weeks. Linear mixed-models examined changes over time, and effect sizes were calculated on change from baseline to 4-week (primary endpoint) and 12-week follow-ups. The trial was registered with clinicaltrials.gov (NCT05014126).

Results

Participants reported high satisfaction with the PSE class. Pain intensity showed a significant, medium reduction across time (p < .001; d = 0.60 at 4 weeks); one-quarter of participants had clinically meaningful pain reduction (≥30%). Pain interference had a large reduction (p < .001; d = 0.74). There were significant but smaller improvements in most secondary outcomes (ds = 0.15 to 0.55; ps < .01). Effects were generally maintained or increased at 12-week follow-up. Higher education and baseline ambivalence over emotional expression predicted greater pain reductions.

Conclusions

People taking this EAET class had reduced pain severity and interference and improvements in other pain-related outcomes. The single-session, telehealth class holds promise as an easily delivered, efficient, and potentially impactful intervention for some patients with chronic pain, although controlled trials are needed.

CHOIRBM: An R package for exploratory data analysis and interactive visualization of pain patient body map data

Body maps are commonly used to capture the location of a patient's pain and thus reflect the extent of pain throughout the body. With increasing electronic capture body map information, there is an emerging need for clinic- and research-ready tools capable of visualizing this data on individual and mass scales. Here we propose CHOIRBM, an extensible and modular R package and companion web application built on the grammar of graphics system. CHOIRBM provides functions that simplify the process of analyzing and plotting patient body map data integrated from the CHOIR Body Map (CBM) at both individual patient and large-dataset levels. CHOIRBM is built on the popular R graphics package, ggplot2, which facilitates further development and addition of functionality by the open-source development community as future requirements arise. The CHOIRBM package is distributed under the terms of the MIT license and is available on CRAN. The development version of the package with the latest functions may be installed from GitHub. Example analysis using CHOIRBM demonstrates the functionality of the modular R package and highlights both the clinical and research utility of efficiently producing CBM visualizations.

Patterns of patient outcomes following specialist pain management in Australasia: a latent class analysis using the ePPOC database

ABSTRACT

The increasing demand for pain management and limited resources available highlight the need to measure treatment effectiveness. We analysed data collected at 75 specialist persistent pain services located in Australia and New Zealand to calculate overall treatment outcome for patients receiving care during 2014-2020. Socio-demographic and clinical information was provided for 23,915 patients, along with patient-reported measures assessing pain, pain interference, depression, anxiety, stress, pain catastrophizing and pain self-efficacy. Latent Class Analysis identified four distinct outcomes based on patients' pattern of responses across the assessment tools at treatment end. Group 1 (n=8,369, 35%) reported low/mild severity across all clinical domains at the end of care, while Group 4 (n= 7,081, 30%) were more likely to report moderate/high severity on all domains. Group 2 (n=1,991, 8%) reported low/mild pain with moderate/high psychological distress at treatment end, and Group 3 (n=6,474, 27%) reported moderate/high pain with low/mild psychological distress. Multi-variable logistic regression identified those factors associated with the different groups. In particular, factors most predictive of a poor (Group 4) vs. good outcome (Group 1) were unemployment (due to pain or other reasons), requiring an interpreter, widespread pain, pain of longer duration and attributing the pain to an injury at work. The results may allow identification of those most likely to benefit from the services currently provided, and inform development of alternative or enhanced services for those at risk of a poor outcome.

The core minimum dataset for measuring pain outcomes in pain services across Scotland. Developing and testing a brief multi-dimensional questionnaire

Background

There is currently no agreed minimum dataset to inform specialist chronic pain service provision. We aimed to develop a Core Minimum Dataset (CMD) for pain services in Scotland and perform preliminary analysis to evaluate its psychometric properties in adults with chronic pain.

Methods

The questionnaire was developed following a review of existing relevant data collection instruments and national consultation. The CMD questionnaire was completed alongside a routine pre-clinic questionnaire by patients attending two pain services over 3 months. Concurrent validity was tested by comparing scores between the CMD and pre-existing questionnaires. Reliability was assessed by test-retest and discriminative validity via receiver operating characteristic (ROC) curves.

Results

The final CMD questionnaire consisted of five questions on four domains: pain severity (Chronic Pain Grade [CPG] Q1); pain interference (CPG Q5); emotional impact (Patient Health Questionnaire-2 [PHQ-2], two questions); and quality of life (Short Form Health Survey-36 [SF-36] Q1). 530 patients completed the questionnaire. Strong correlation was found with the Hospital Anxiety and Depression Scale (rs = 0.753, p < 0.001). Moderate correlations were found with the Brief Pain Inventory for pain interference (rs = 0.585, p < 0.001) and pain severity (rs = 0.644, p < 0.001). Moderate to good reliability was demonstrated (Intra-class Correlation Coefficient = 0.572-0.845). All items indicated good discrimination for relevant health states.

Conclusions

The findings represent initial steps towards developing an accurate questionnaire that is feasible for assessing chronic pain in adults attending specialist pain clinics and measuring service improvements in Scotland. Further validation testing, in clinical settings, is now required.

The Link between Gut Microbiota and Hepatic Encephalopathy

Hepatic encephalopathy (HE) is a serious complication of cirrhosis that causes neuropsychiatric problems, such as cognitive dysfunction and movement disorders. The link between the microbiota and the host plays a key role in the pathogenesis of HE. The link between the gut microbiome and disease can be positively utilized not only in the diagnosis area of HE but also in the treatment area. Probiotics and prebiotics aim to resolve gut dysbiosis and increase beneficial microbial taxa, while fecal microbiota transplantation aims to address gut dysbiosis through transplantation (FMT) of the gut microbiome from healthy donors. Antibiotics, such as rifaximin, aim to improve cognitive function and hyperammonemia by targeting harmful taxa. Current treatment regimens for HE have achieved some success in treatment by targeting the gut microbiota, however, are still accompanied by limitations and problems. A focused approach should be placed on the establishment of personalized trial designs and therapies for the improvement of future care. This narrative review identifies factors negatively influencing the gut–hepatic–brain axis leading to HE in cirrhosis and explores their relationship with the gut microbiome. We also focused on the evaluation of reported clinical studies on the management and improvement of HE patients with a particular focus on microbiome-targeted therapy.

Fatigue in Adults with Chronic Arthralgia/Myalgia in the Temporomandibular Region: Associations with Poor Sleep Quality, Depression, Pain Intensity, and Future Pain Interference

AIMS

To examine associations between fatigue and poor sleep quality, depression symptoms, and pain intensity in an adult population with chronic arthralgia/myalgia in the temporomandibular region and to test whether fatigue predicted future pain-related interference above and beyond these other constructs.

METHODS

The sample included 40 participants with chronic arthralgia and/or myalgia in the temporomandibular region and 21 healthy controls. Participants self-reported fatigue (PROMIS fatigue score), sleep quality (PSQI), depression symptoms (PROMIS depression score), and average pain intensity and completed four weekly surveys of pain-related interference with daily activities.

RESULTS

The chronic arthralgia/myalgia group reported greater fatigue than healthy controls (t = 4.85, P < .001). Fatigue was significantly correlated with poor sleep quality (r = .46), higher depression symptoms (r = .41), and higher pain intensity (r = .46) in the chronic arthralgia/myalgia group, and these three variables together explained 39% of variance in fatigue. Greater fatigue-above and beyond sleep quality, depression symptoms, and average pain intensity-was associated with a higher average level of pain-related interference (β = 0.56, t score = 3.30, P = .002) over the following month. Depression symptoms, poor sleep quality, and pain intensity did not significantly predict pain interference above and beyond fatigue (all P > .05).

CONCLUSION

The results suggest that fatigue is a clinically relevant symptom distinct from depression, poor sleep quality, or pain intensity and may be related to worse pain outcomes over the following month in adults with chronic temporomandibular arthralgia/myalgia. Clinicians should assess, monitor, and treat fatigue to the best of their abilities when working with this population.

The Pain-Invalidation Scale: Measuring Patient Perceptions of Invalidation Toward Chronic Pain

Increasing evidence reveals the damaging impact of having one's chronic pain symptoms invalidated through disbelief, discrediting, and critical judgement. In other instances, a caregiver's over-attentiveness to the daily tasks of individuals with pain can be problematic, potentially undermining rehabilitation. The aim of this study was to develop an instrument to measure different aspects of invalidation perceived by people with chronic pain. Item generation was informed through literature review and a thematic analysis of narratives from 431 peer-reviewed articles. The crowdsourcing platform Prolific was used to distribute survey items to participants. In Study 1A, Principal Component Analysis was performed on data from 302 respondents, giving rise to 4 subscales, including: Invalidation by the Self, Invalidation by Immediate Others, Invalidation by Healthcare Professionals, and Invalidation by Over-attentive Others. Confirmatory Factor Analysis of data collected from aonther 308 individuals in Study 1B supported the 4-factor model of the Pain-Invalidation Scale (Pain-IS) and identified a best-fit model with 24 items. The Pain-IS was further validated in another 300 individuals in Study 2. The Pain-IS demonstrates sound psychometric properties and may serve as a valuable tool for use by clinicians in the detection of pain-invalidation issues, as a first step in patient pain management. Perspective. Links between pain-invalidation and pain levels, as well as functional detriment, highlight the importance of having one's chronic pain experience heard, believed and accepted. The Pain-Invalidation Scale is designed to identify domains where invalidation of the patient's pain should be addressed to promote emotional processing, treatment adherence and improved outcomes.

Characterizing Fatigue Subtypes in Adolescents with Chronic Musculoskeletal Pain and Pain-Free Controls

Context

General fatigue, sleep-related fatigue, and cognitive fatigue are prevalent and disruptive in adults with chronic musculoskeletal (MSK) pain, but little is known about these fatigue subtypes in pediatric musculoskeletal pain.

Objective

To compare fatigue and its subtypes between adolescents with chronic MSK pain and pain-free controls and to test if fatigue subtypes were associated with concurrent pain and its impact (pain intensity, number of pain sites, pain interference, and functional disability) or experimental pain (intensity and tolerance) in adolescents with chronic MSK pain. Finally, we sought to explore adolescents’ qualitative characterizations of their fatigue.

Methods

Adolescents with chronic MSK pain (12–17 y.o., n = 26) and pain-free controls (n = 26) completed validated self-report measures of fatigue, pain, and functional disability, underwent an experimental pain tolerance task (cold water immersion of the hand), and provided qualitative descriptions of their fatigue (pain group only).

Results

Adolescents with chronic MSK pain reported significantly greater general, sleep-related, and cognitive fatigue than pain-free controls (all p’s < 0.001). In adolescents with chronic MSK pain, fatigue subtypes were associated with clinical pain and pain impact (r’s = 0.43–0.84) but not experimental pain measures (p’s > 0.05). Adolescents with chronic MSK pain qualitatively described the negative implications of the different fatigue subtypes, particularly when perceived as long-lasting.

Conclusion

This preliminary study suggests that fatigue subtypes are prevalent and impactful in pediatric patients with chronic MSK pain. When planning multi-disciplinary treatment for pediatric MSK pain, providers should recognize fatigue as another disabling symptom.

Toward unraveling the correlates of fatigue in glioma

BACKGROUND

Even though fatigue is one of the most prevalent and burdensome symptoms in patients with glioma, its etiology and determinants are still poorly understood. We aimed to identify which demographic, tumor- and treatment-related characteristics and patient-reported outcome measures (PROMs) are associated with or are predictors of fatigue in glioma.

METHODS

In this retrospective observational study, we included glioma patients with preoperative and postoperative assessments including PROMs on fatigue, depression, cognitive functioning, and health-related quality of life (HRQoL). Linear mixed models were used to identify which clinical factors and PROMs were associated with fatigue and linear multiple regression was used to detect predictors of postoperative fatigue.

RESULTS

In this study, 222 patients were included (78% grade II-III glioma, 22% grade IV). These patients had performed 333 assessments (193 preoperative and 116 one year postoperatively). Of all assessments, 39% was indicative of severe fatigue. Several HRQoL domains, depression, and right-sided tumors were significantly associated with fatigue (marginal R 2 = 0.63). Contrary to common expectations, tumor type, treatment-related factors, and timing of the assessment, were not associated with fatigue. In a subgroup of 70 patients with follow-up assessments, preoperative fatigue, and physical functioning were predictors of postoperative fatigue (adjusted R 2 = 0.31).

CONCLUSION

Fatigue is a complex symptom, which should not solely be attributed to the tumor or its treatment, but is instead related to different aspects of mood and HRQoL. These insights are important in understanding fatigue and could guide symptom management, especially in patients with lower-grade tumors.

Efficacy of a Single-Session "Empowered Relief" Zoom-Delivered Group Intervention for Chronic Pain: Randomized Controlled Trial Conducted During the COVID-19 Pandemic

BACKGROUND

Cognitive behavioral therapy-pain is an evidence-based treatment for chronic pain that can have significant patient burden, including health care cost, travel, multiple sessions, and lack of access in remote areas.

OBJECTIVE

The study aims to pilot test the efficacy of a single-session videoconference-delivered empowered relief (ER) intervention compared to waitlist control (WLC) conditions among individuals with chronic pain. We hypothesized that ER would be superior to WLC in reducing pain catastrophizing, pain intensity, and other pain-related outcomes at 1-3 months posttreatment.

METHODS

We conducted a randomized controlled trial involving a web-based sample of adults (N=104) aged 18-80 years with self-reported chronic pain. Participants were randomized (1:1) to 1 of 2 unblinded study groups: ER (50/104, 48.1%) and WLC (54/104, 51.9%). Participants allocated to ER completed a Zoom-delivered class, and all participants completed follow-up surveys at 2 weeks and 1, 2, and 3 months posttreatment. All the study procedures were performed remotely and electronically. The primary outcome was pain catastrophizing 1-month posttreatment, with pain intensity, pain bothersomeness, and sleep disruption as secondary outcomes. We also report a more rigorous test of the durability of treatment effects at 3 months posttreatment. Data were collected from September 2020 to February 2021 and analyzed using intention-to-treat analysis. The analytic data set included participants (18/101, 17.8% clinic patients; 83/101, 82.1% community) who completed at least one study survey: ER (50/101, 49.5%) and WLC (51/104, 49%).

RESULTS

Participants (N=101) were 69.3% (70/101) female, with a mean age of 49.76 years (SD 13.90; range 24-78); 32.7% (33/101) had an undergraduate degree and self-reported chronic pain for 3 months. Participants reported high engagement (47/50, 94%), high satisfaction with ER (mean 8.26, SD 1.57; range 0-10), and high satisfaction with the Zoom platform (46/50, 92%). For the between-groups factor, ER was superior to WLC for all primary and secondary outcomes at 3 months posttreatment (highest P<.001), and between-groups Cohen d effect sizes ranged from 0.45 to 0.79, indicating that the superiority was of moderate to substantial clinical importance. At 3 months, clinically meaningful pain catastrophizing scale (PCS) reductions were found for ER but not for WLC (ER: PCS -8.72, 42.25% reduction; WLC: PCS -2.25, 11.13% reduction). ER resulted in significant improvements in pain intensity, sleep disturbance, and clinical improvements in pain bothersomeness.

CONCLUSIONS

Zoom-delivered ER had high participant satisfaction and very high engagement. Among adults with chronic pain, this single-session, Zoom-delivered, skills-based pain class resulted in clinically significant improvement across a range of pain-related outcomes that was sustained at 3 months. Web-based delivery of ER could allow greater accessibility of home-based pain treatment and could address the inconveniences and barriers faced by patients when attempting to receive in-person care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04546685; https://clinicaltrials.gov/ct2/show/NCT04546685.

Chronic pain severity, impact, and opioid use among patients with cancer: An analysis of biopsychosocial factors using the CHOIR learning health care system

BACKGROUND

Despite the biopsychosocial underpinnings of chronic noncancer pain, relatively little is known about the contribution of psychosocial factors to chronic cancer pain. The authors aimed to characterize associations between biopsychosocial factors and pain and opioid use among individuals with chronic pain and cancer.

METHODS

The authors conducted a retrospective, cross-sectional study of 700 patients with chronic pain and cancer seeking treatment at an academic tertiary pain clinic. Patients completed demographic questionnaires and validated psychosocial and pain measures. Multivariable, hierarchical linear and logistic regressions assessed the relative contributions of biopsychosocial factors to the primary dependent variables of pain severity, pain interference, and opioid use.

RESULTS

Participants were 62% female and 66% White with a mean age of 59 ± 15 years, and 55% held a college degree or higher. Older age, African American or "other" race, sleep disturbance, and pain catastrophizing were significantly associated with higher pain severity (F(5,657) = 22.45; P ≤ .001; R2 = 0.22). Depression, sleep disturbance, pain catastrophizing, lower emotional support, and higher pain severity were significantly associated with pain interference (F(5,653) = 9.47; P ≤ .001; R2 = 0.44). Lastly, a poor cancer prognosis (Exp(B) = 1.62) and sleep disturbance (Exp(B) = 1.02) were associated with taking opioids, whereas identifying as Asian (Exp(B) = 0.48) or Hispanic (Exp(B) = 0.47) was associated with lower odds of using opioids.

CONCLUSIONS

Modifiable psychological factors-specifically sleep disturbance, depression, and pain catastrophizing-were uniquely associated with pain and opioid use in patients with chronic pain and diverse cancer diagnoses. Future behavioral pain interventions that concurrently target sleep may improve pain among patients with cancer.

LAY SUMMARY

Feeling depressed, worrying about pain, and bad sleep are related to higher pain symptoms in individuals with chronic pain and cancer. Specifically, those who struggle to sleep have worse pain and use more opioids. Also, individuals who have a bad prognosis for their cancer are more likely to be using opioid pain medications. Although race and cancer are related to chronic pain in patients, psychological well-being is also strongly related to this same pain.

Self-reported traumatic etiology of pain and psychological function in tertiary care pain clinic patients: a collaborative health outcomes information registry (CHOIR) study

Background and aims A sizable body of research has elucidated the significant role of psychological reactions to trauma on pain coping and outcomes. In order to best inform intervention development and clinical care for patients with both trauma and pain at the tertiary care level, greater clarity is needed regarding the magnitude of these effects and the specific pathways through which they may or may not function at the time of first presentation to such a treatment setting. To achieve this, the current study examined the cross-sectional relationships between traumatic etiology of pain, psychological distress (anger, depressive symptoms, and PTSD symptoms), and pain outcomes (pain catastrophizing, physical function, disability status). Methods Using a structural path modeling approach, analyses were conducted using a large sample of individuals with chronic pain (n = 637) seeking new medical evaluation at a tertiary pain management center, using the Collaborative Health Outcomes Information Registry (CHOIR). We hypothesized that the relationships between traumatic etiology of pain and poorer pain outcomes would be mediated by higher levels of psychological distress. Results Our analyses revealed modest relationships between self-reported traumatic etiology of pain and pain catastrophizing, physical function, and disability status. In comparison, there were stronger relationships between indices of psychological distress and pain catastrophizing, but a weaker pattern of associations between psychological distress and physical function and disability measures. Conclusions To the relatively small extent that self-reported traumatic etiology of pain correlates with pain-related outcomes, these relationships appear to be due primarily to the presence of psychiatric symptoms and manifest most notably in the context of psychological responses to pain (i.e. catastrophizing about pain). Implications Findings from this study highlight the need for early intervention for patients with traumatic onset of pain and for clinicians at tertiary pain centers to include more detailed assessments of psychological distress and trauma as a component of comprehensive chronic pain treatment.

Hierarchical clustering by patient-reported pain distribution alone identifies distinct chronic pain subgroups differing by pain intensity, quality, and clinical outcomes

Background

In clinical practice, the bodily distribution of chronic pain is often used in conjunction with other signs and symptoms to support a diagnosis or treatment plan. For example, the diagnosis of fibromyalgia involves tallying the areas of pain that a patient reports using a drawn body map. It remains unclear whether patterns of pain distribution independently inform aspects of the pain experience and influence patient outcomes. The objective of the current study was to evaluate the clinical relevance of patterns of pain distribution using an algorithmic approach agnostic to diagnosis or patient-reported facets of the pain experience.

Methods and findings

A large cohort of patients (N = 21,658) completed pain body maps and a multi-dimensional pain assessment. Using hierarchical clustering of patients by body map selection alone, nine distinct subgroups emerged with different patterns of body region selection. Clinician review of cluster body maps recapitulated some clinically-relevant patterns of pain distribution, such as low back pain with radiation below the knee and widespread pain, as well as some unique patterns. Demographic and medical characteristics, pain intensity, pain impact, and neuropathic pain quality all varied significantly across cluster subgroups. Multivariate modeling demonstrated that cluster membership independently predicted pain intensity and neuropathic pain quality. In a subset of patients who completed 3-month follow-up questionnaires (N = 7,138), cluster membership independently predicted the likelihood of improvement in pain, physical function, and a positive overall impression of change related to multidisciplinary pain care.

Conclusions

This study reports a novel method of grouping patients by pain distribution using an algorithmic approach. Pain distribution subgroup was significantly associated with differences in pain intensity, impact, and clinically relevant outcomes. In the future, algorithmic clustering by pain distribution may be an important facet in chronic pain biosignatures developed for the personalization of pain management.

Characterization of chronic overlapping pain conditions in patients with chronic migraine: A CHOIR study

OBJECTIVE

Chronic overlapping pain conditions (COPCs) represent a co-aggregation of widespread pain disorders. We characterized differences in physical and psychosocial functioning in patients with chronic migraine (CM) and those with CM and COPCs.

BACKGROUND

Patients with CM and COPCs have been identified as a distinct subgroup of patients with CM, and these patients may be vulnerable to greater symptom severity and burden.

METHODS

Data were extracted from Collaborative Health Outcomes Information Registry (an open-source learning health-care system), completed at the patients' first visit at a large tertiary care pain management center and electronic medical records. In 1601 patients with CM, the number of non-cephalic areas of pain endorsed on a body map was used to examine the differences in pain, physical and psychosocial function, adverse life experience, and health-care utilization.

RESULTS

Patients endorsing more body map regions reported significantly worse symptoms and function across all domains. Scored on a t-score metric (mean = 50, SD = 10), endorsement of one additional body map region corresponded with a 0.69-point increase in pain interference (95% CI = 0.55, 0.82; p < 0.001; Cohen's f = 0.328), 1.15-point increase in fatigue (95% CI = 0.97, 1.32; p < 0.001; Cohen's f = 0.432), and 1.21-point decrease in physical function (95% CI = -1.39, -1.03; p < 0.001; Cohen's f = 0.560). Patients with more widespread pain reported approximately 5% more physician visits (95% CI = 0.03, 0.07; p < 0.001), and patients reporting adverse life events prior to age 17 endorsed 22% more body map regions (95% CI = 0.11, 0.32; p < 0.001).

CONCLUSIONS

Patients with CM and other overlapping pain conditions as noted on the body map report significantly worse pain-related physical function, psychosocial functioning, increased health-care utilization, and greater association with adverse life experiences, compared with those with localized CM. This study provides further evidence that patients with CM and co-occurring pain conditions are a distinct subgroup of CM and can be easily identified through patient-reported outcome measures.

A Narrative Review on Perioperative Pain Management Strategies in Enhanced Recovery Pathways-The Past, Present and Future

Effective pain management is a key component in the continuum of perioperative care to ensure optimal outcomes for surgical patients. The overutilization of opioids in the past few decades for postoperative pain control has been a major contributor to the current opioid epidemic. Multimodal analgesia (MMA) and enhanced recovery after surgery (ERAS) pathways have been repeatedly shown to significantly improve postoperative outcomes such as pain, function and satisfaction. The current review aims to examine the history of perioperative MMA strategies in ERAS and provide an update with recent evidence. Furthermore, this review details recent advancements in personalized pain medicine. We speculate that the next important step for improving perioperative pain management could be through incorporating these personalized metrics, such as clinical pharmacogenomic testing and patient-reported outcome measurements, into ERAS program.

Clinical Profiles of Concurrent Cannabis Use in Chronic Pain: A CHOIR Study

OBJECTIVE

Despite evidence of the analgesic benefits of cannabis, there remains a relative scarcity of research on the short- and long-term effects of cannabis use in individuals with chronic pain.

DESIGN

The current study is a secondary analysis of clinical data from the Collaborative Health Outcomes Information Registry (CHOIR).

SETTING

Data were drawn from a cohort of patients of a multidisciplinary tertiary care pain clinic.

SUBJECTS

The study sample consisted of data from 7,026 new patient visits from CHOIR; of these, 1,668 patients with a follow-up time point within 180 days were included in a longitudinal analysis.

METHODS

Clinical data were analyzed to characterize cross-sectional differences in pain and indicators of psychological and physical function according to self-reported, concurrent cannabis use. Additionally, a propensity score-weighted longitudinal analysis was conducted, examining cannabis use as a predictor of changes in clinical variables across time.

RESULTS

Cross-sectional analyses suggested significantly poorer sleep and significantly higher intensities of pain, emotional distress, and physical and social dysfunction in patients reporting ongoing cannabis use; however, these differences were relatively small in magnitude. However, no differences between cannabis users and nonusers in terms of longitudinal changes in clinical variables were noted.

DISCUSSION

Our results are among the first to examine concurrent cannabis use as a prognostic variable regarding trajectories of pain-related variables in tertiary care. Future studies may benefit from examining the effect of cannabis initiation, concurrent medication use, and specific aspects of cannabis use (dose, duration of use, or cannabis type) on clinical outcomes.

Comparative Effectiveness of Embedded Mental Health Services in Pain Management Clinics vs Standard Care

OBJECTIVE

Embedded behavioral medicine services are a common component of multidisciplinary chronic pain treatment programs. However, few studies have studied whether these services are associated with improved treatment outcomes.

METHODS

Using a retrospective, matched, two-cohort study design, we examined patient-reported outcomes (PROs), including Patient-Reported Outcomes Measurement Information System pain, mental health, and physical function measures, collected at every clinic visit in every patient. Changes from baseline through 12 months were compared in those receiving embedded Behavioral Medicine in addition to usual care to a Standard Care group seen in the same pain practice and weighted via propensity scoring.

RESULTS

At baseline, Behavioral Medicine patients had worse scores on most pain, mental health, and physical health measures and were more likely to be female, a member of a racial minority, and have lower socioeconomic status. Regardless of having a worse clinical pain syndrome at baseline, at follow-up both Behavioral Medicine (N = 451) and Standard Care patients (N = 8,383) showed significant and comparable improvements in pain intensity, physical function, depression, and sleep disturbance. Behavioral Medicine patients showed significantly greater improvements in their global impressions of change than the Standard Care patients.

CONCLUSIONS

Despite worse pain and physical and psychological functioning at baseline, Behavioral Medicine patients showed improvements comparable to patients not receiving these services. Further, Behavioral Medicine patients report higher global impressions of change, indicating that embedded mental health services appear to have the additive value of amplifying the benefits of multimodal pain care.

The factor structure and subscale properties of the pain catastrophizing scale: are there differences in the distinctions?

As presently constructed, the pain catastrophizing failed to discriminate effectively among levels of rumination, magnification, and helplessness in a sample of patients with chronic pain.

Increasingly, studies have documented the negative impact of pain catastrophizing on health outcomes. The Pain Catastrophizing Scale (PCS) has been the measure of choice for many of these studies. The PCS provides 3 subscales for measuring pain catastrophizing: rumination, magnification, and helplessness. Factor analytic investigations of these factors have been limited by the sample size and relevance, and results have been inconsistent. No study has directly estimated the added value of subscale scoring of the PCS compared with scoring it as a single measure.

The physical and mental health of the medical staff in Wuhan Huoshenshan Hospital during COVID-19 epidemic: A Structural Equation Modeling approach

Introduction

Early in the epidemic of coronavirus disease 2019, the Chinese government recruited a proportion of healthcare workers to support the designated hospital (Huoshenshan Hospital) in Wuhan, China. The majority of front-line medical staff suffered from adverse effects, but their real health status during COVID-19 epidemic was still unknown. The aim of the study was to explore the latent relationship of the physical and mental health of front-line medical staff during this special period.

Methods

A total of 115 military medical staff were recruited between February 17th and February 29th, 2020 and asked to complete questionnaires assessing socio-demographic and clinical characteristics, self-reported sleep status, fatigue, resilience and anxiety.

Results

55 medical staff worked within Intensive Care and 60 worked in Non-intensive Care, the two groups were significantly different in reported general fatigue, physical fatigue and tenacity (P<0.05). Gender, duration working in Wuhan, current perceived stress level and health status were associated with significant differences in fatigue scores (P<0.05), the current perceived health status (P<0.05) and impacted on the resilience and anxiety of participants. The structural equation modeling analysis revealed resilience was negatively associated with fatigue (β=-0.52, P<0.01) and anxiety (β=-0.24, P<0.01), and fatigue had a direct association with the physical burden (β=0.65, P<0.01); Fatigue mediated the relationship between resilience and anxiety (β=-0.305, P=0.039) as well as resilience and physical burden (β=-0.276, P=0.02).

Conclusion

During an explosive pandemic situation, motivating the effect of protective resilience and taking tailored interventions against fatigue are promising ways to protect the physical and mental health of the front-line medical staff.

An 8-Week Self-Administered At-Home Behavioral Skills-Based Virtual Reality Program for Chronic Low Back Pain: Double-Blind, Randomized, Placebo-Controlled Trial Conducted During COVID-19

BACKGROUND

Chronic low back pain is the most prevalent chronic pain condition worldwide and access to behavioral pain treatment is limited. Virtual reality (VR) is an immersive technology that may provide effective behavioral therapeutics for chronic pain.

OBJECTIVE

We aimed to conduct a double-blind, parallel-arm, single-cohort, remote, randomized placebo-controlled trial for a self-administered behavioral skills-based VR program in community-based individuals with self-reported chronic low back pain during the COVID-19 pandemic.

METHODS

A national online convenience sample of individuals with self-reported nonmalignant low back pain with duration of 6 months or more and with average pain intensity of 4 or more/10 was enrolled and randomized 1:1 to 1 of 2 daily (56-day) VR programs: (1) EaseVRx (immersive pain relief skills VR program); or (2) Sham VR (2D nature content delivered in a VR headset). Objective device use data and self-reported data were collected. The primary outcomes were the between-group effect of EaseVRx versus Sham VR across time points, and the between-within interaction effect representing the change in average pain intensity and pain-related interference with activity, stress, mood, and sleep over time (baseline to end-of-treatment at day 56). Secondary outcomes were global impression of change and change in physical function, sleep disturbance, pain self-efficacy, pain catastrophizing, pain acceptance, pain medication use, and user satisfaction. Analytic methods included intention-to-treat and a mixed-model framework.

RESULTS

The study sample was 179 adults (female: 76.5%, 137/179; Caucasian: 90.5%, 162/179; at least some college education: 91.1%, 163/179; mean age: 51.5 years [SD 13.1]; average pain intensity: 5/10 [SD 1.2]; back pain duration ≥5 years: 67%, 120/179). No group differences were found for any baseline variable or treatment engagement. User satisfaction ratings were higher for EaseVRx versus Sham VR (P<.001). For the between-groups factor, EaseVRx was superior to Sham VR for all primary outcomes (highest P value=.009), and between-groups Cohen d effect sizes ranged from 0.40 to 0.49, indicating superiority was moderately clinically meaningful. For EaseVRx, large pre-post effect sizes ranged from 1.17 to 1.3 and met moderate to substantial clinical importance for reduced pain intensity and pain-related interference with activity, mood, and stress. Between-group comparisons for Physical Function and Sleep Disturbance showed superiority for the EaseVRx group versus the Sham VR group (P=.022 and .013, respectively). Pain catastrophizing, pain self-efficacy, pain acceptance, prescription opioid use (morphine milligram equivalent) did not reach statistical significance for either group. Use of over-the-counter analgesic use was reduced for EaseVRx (P<.01) but not for Sham VR.

CONCLUSIONS

EaseVRx had high user satisfaction and superior and clinically meaningful symptom reduction for average pain intensity and pain-related interference with activity, mood, and stress compared to sham VR. Additional research is needed to determine durability of treatment effects and to characterize mechanisms of treatment effects. Home-based VR may expand access to effective and on-demand nonpharmacologic treatment for chronic low back pain.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04415177; https://clinicaltrials.gov/ct2/show/NCT04415177.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/25291.

Stanford Pragmatiec Effectiveness Comparison (SPEC) protocol: Comparing long-term effectiveness of high-frequency and burst spinal cord stimulation in real-world application

OBJECTIVES

High-frequency and burst stimulation are newer waveforms that have demonstrated promise compared to traditional tonic spinal cord stimulation (SCS), but more studies are needed to compare their effectiveness. We report the study methods for an ongoing, single center, pragmatic randomized clinical trial to compare the effectiveness of high-frequency and burst SCS in patients with chronic back and/or leg pain.

MATERIALS AND METHODS

Participants who are candidates for spinal cord stimulation are enrolled and screened. Participants will be randomly assigned using point-of-care randomization to receive either high-frequency or burst SCS. Data collection will be through Stanford Pain Management Center's learning healthcare system: CHOIR. CHOIR surveys include National Institutes of Health Patient Reported Outcomes Measurement Information System item banks, a body map, questions about pain intensity, pain catastrophizing scale, and questions about patients' pain experience and healthcare utilization. Participants will complete online surveys at baseline and then 1, 3, 6, 12, 18, 24 and 36 months after their device implant. All participants will use our routine process of trial and implant. Reported adverse events are monitored throughout the study. Our primary outcome is change from baseline in pain intensity at 12 months.

RESULTS

We hypothesize that high-frequency SCS is more effective than burst SCS in improving pain, physical function and pain interference in participants with chronic low back and/or leg pain.

CONCLUSIONS

The pragmatic nature of our proposed trial enables us to recruit a larger participant cohort faster and to follow up these participants longer than currently published clinical trials.

Modeling Complex Orthopedic Trauma in Rodents: Bone, Muscle and Nerve Injury and Healing

Orthopedic injury can occur from a variety of causes including motor vehicle collision, battlefield injuries or even falls from standing. Persistent limb pain is common after orthopedic injury or surgery and presents a unique challenge, as the initiating event may result in polytrauma to bone, muscle, and peripheral nerves. It is imperative that we understand the tissue-specific and multicellular response to this unique type of injury in order to best develop targeted treatments that improve healing and regeneration. In this Mini Review we will first discuss current rodent models of orthopedic trauma/complex orthotrauma. In the second section, we will focus on bone-specific outcomes including imaging modalities, biomechanical testing and immunostaining for markers of bone healing/turnover. In the third section, we will discuss muscle-related pathology including outcome measures of fibrosis, muscle regeneration and tensile strength measurements. In the fourth section, we will discuss nervous system-related pathology including outcome measures of pain-like responses, both reflexive and non-reflexive. In all sections we will consider parallels between preclinical outcome measures and the functional and mechanistic findings of the human condition.

Self-Administered Behavioral Skills-Based At-Home Virtual Reality Therapy for Chronic Low Back Pain: Protocol for a Randomized Controlled Trial

BACKGROUND

Chronic pain is one of the most common and debilitating health conditions. Treatments for chronic low back pain typically focus on biomedical treatment approaches. While psychosocial treatments exist, multiple barriers prevent broad access. There is a significant unmet need for integrative, easily accessible, non-opioid solutions for chronic pain. Virtual reality (VR) is an immersive technology allowing innovation in the delivery of behavioral pain treatments. Behavioral skills-based VR is effective at facilitating pain management and reducing pain-related concerns. Continued research on these emerging approaches is needed.

OBJECTIVE

In this randomized controlled trial, we seek to test the efficacy of a self-administered behavioral skills-based VR program as a nonpharmacological home-based pain management treatment for people with chronic low back pain (cLBP).

METHODS

We will randomize 180 individuals with cLBP to 1 of 2 VR programs: (1) EaseVRx (8-week skills-based VR program); or (2) Sham VR (control condition). All participants will receive a VR headset to minimize any biases related to the technology's novelty. The Sham VR group had 2D neutral content in a 3D theater-like environment. Our primary outcome is average pain intensity and pain-related interference with activity, stress, mood, and sleep. Our secondary outcomes include patient-reported physical function, sleep disturbance, pain self-efficacy, pain catastrophizing, pain acceptance, health utilization, medication use, and user satisfaction. We hypothesize superiority for the skills-based VR program in all of these measures compared to the control condition. Team statisticians blinded to treatment assignment will assess outcomes up to 6 months posttreatment using an approach suitable for the longitudinal nature of the data.

RESULTS

The study was approved by the Western Institutional Review Board on July 2, 2020. The protocol (NCT04415177) was registered on May 27, 2020. Recruitment for this study was completed in July 2020, and data collection will remain active until March 2021. In total, 186 participants were recruited. Multiple manuscripts will be generated from this study. The primary manuscript will be submitted for publication in the winter of 2020.

CONCLUSIONS

Effectively delivering behavioral treatments in VR could overcome barriers to care and provide scalable solutions to chronic pain's societal burden. Our study could help shape future research and development of these innovative approaches.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04415177; https://clinicaltrials.gov/ct2/show/NCT04415177.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR1-10.2196/25291.

Development and validation of the Collaborative Health Outcomes Information Registry body map

Supplemental Digital Content is Available in the Text.

Introduction:

Critical for the diagnosis and treatment of chronic pain is the anatomical distribution of pain. Several body maps allow patients to indicate pain areas on paper; however, each has its limitations.

Objectives:

To provide a comprehensive body map that can be universally applied across pain conditions, we developed the electronic Collaborative Health Outcomes Information Registry (CHOIR) self-report body map by performing an environmental scan and assessing existing body maps.

Methods:

After initial validation using a Delphi technique, we compared (1) pain location questionnaire responses of 530 participants with chronic pain with (2) their pain endorsements on the CHOIR body map (CBM) graphic. A subset of participants (n = 278) repeated the survey 1 week later to assess test–retest reliability. Finally, we interviewed a patient cohort from a tertiary pain management clinic (n = 28) to identify reasons for endorsement discordances.

Results:

The intraclass correlation coefficient between the total number of body areas endorsed on the survey and those from the body map was 0.86 and improved to 0.93 at follow-up. The intraclass correlation coefficient of the 2 body map graphics separated by 1 week was 0.93. Further examination demonstrated high consistency between the questionnaire and CBM graphic (<10% discordance) in most body areas except for the back and shoulders (≈15–19% discordance). Participants attributed inconsistencies to misinterpretation of body regions and laterality, the latter of which was addressed by modifying the instructions.

Conclusions:

Our data suggest that the CBM is a valid and reliable instrument for assessing the distribution of pain.

Relationship Between Blood Cytokine Levels, Psychological Comorbidity, and Widespreadness of Pain in Chronic Pelvic Pain

Background: Low-grade inflammation has been implicated in the etiology of depression, long-term fatigue and chronic pain. TNFα and IL-6 are perhaps the most studied pro-inflammatory cytokines in the field of psychoneuroimmunology. The purpose of our study was to further investigate these relationships in patients with chronic pelvic pain specifically. Using plasma samples from a large, well-described cohort of patients with pelvic pain and healthy controls via the Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Research Network, we examined the relationship between TNFα and IL-6 and comorbid psychological symptoms. We also investigated the relationship between IL-8 and GM-CSF, and widespreadness of pain. Methods: We included baseline blood samples in the analyses, 261 patients (148 women) and 110 healthy controls (74 women). Fourteen pro- and anti-inflammatory or regulatory cytokines were analyzed in a Luminex^® xMAP^® high-sensitivity assay. We used regression models that accounted for known factors associated with the outcome variables to determine the relationship between cytokine levels and clinical measures. Results: There were no statistical differences in cytokine levels between patients and healthy controls when controlling for age. In patients, TNFα was significantly associated with levels of fatigue (p = 0.026), but not with pain intensity or depression. IL-6 was not significantly related to any of the outcome variables. Women with pelvic pain showed a negative relationship between IL-8 and widespreadness of pain, while men did not (p = 0.003). For both sexes, GM-CSF was positively related to widespreadness of pain (p = 0.039). Conclusion: Our results do not suggest low-grade systemic inflammation in chronic pelvic pain. Higher TNFα blood levels were related to higher fatigue ratings, while higher systemic GM-CSF levels predicted more widespread pain. Our study further suggests a potentially protective role of IL-8 with regard to with regard to the widepreadness of pain in the body, at least for women.

Identifying Predictors of Recommendations for and Participation in Multimodal Nonpharmacological Treatments for Chronic Pain Using Patient-Reported Outcomes and Electronic Medical Records

OBJECTIVE

High-quality chronic pain care emphasizes multimodal treatments that include medication and nonpharmacological treatments. But it is not clear which patients will participate in nonpharmacological treatments, such as physical therapy or mental health care, and previous research has shown conflicting evidence.

METHODS

We used the Patient Outcomes Repository for Treatment (PORT) registry, which combines patient-reported outcomes data with electronic medical records. In this retrospective observational study, we performed two separate multinomial regression analyses with feature selection to identify PORT variables that were predictive of 1) recommendation of a nonpharmacological treatment by the provider and 2) patient participation in nonpharmacological treatments. Two hundred thirty-six patients were recommended (REC) or not recommended (NO REC) a nonpharmacological treatment, and all REC patients were classified as participating (YES) or not participating (NO) in the recommendations.

RESULTS

Female gender and a diagnosis of Z79 "Opioid drug therapy" were significant positive and negative predictors of nonpharmacological treatment recommendations, respectively. Schedule II opioid use at initial presentation and recommendations for rehabilitation therapy were significant predictors of nonparticipation.

CONCLUSIONS

Patients using opioids are less likely to be recommended nonpharmacological treatments as part of multimodal chronic pain care and are less likely to participate in nonpharmacological treatments once recommended. Males are also less likely to be recommended nonpharmacological treatments. Patients referred for rehabilitation therapies are less likely to comply with those recommendations. We have identified patients in vulnerable subgroups who may require additional resources and/or encouragement to comply with multimodal chronic pain treatment recommendations.

Validation of CARE Scale-7 in treatment-seeking patients with chronic pain: measurement of sex invariance

Supplemental Digital Content is Available in the Text.

The CARE Scale-7 is the first validated instrument to assess self-care difficulty in both sexes and may promote individualized care planning among chronic pain patients.

Objectives:

Social and interpersonal factors impact the trajectory of chronic pain. We previously developed and validated a 2-factor, 7-item measure to assess interpersonal factors, including relationship guilt and worry and difficulty prioritizing self-care in chronic pain. Here, we confirm the factor structure and examine the sex invariance of the two-factor structure of the CARE Scale-7.

Methods:

Data were collected as part of routine clinical care at a tertiary pain clinic using the Collaborative Health Outcomes Information Registry. Patient participants (67% women) were predominantly middle-aged (M = 50.9 years, SD = 17.8), married (55.2%), and White/non-Hispanic (55.7%). Data included demographics, pain characteristics, CARE Scale-7, pain catastrophizing, and Patient-Reported Outcomes Measurement Information System psychological and physical function measures. Confirmatory factor analysis was conducted to validate the factor structure of the CARE Scale, and a stepwise approach to measurement invariances by sex examined configural, metric, and scalar invariance.

Results:

Internal consistency of the scale items ensured suitability for factor analyses. Confirmatory factor analysis findings revealed an overall good fit of the 2-factor model among males and females and that CARE Scale-7 is in fact sex invariant. Finally, CARE Scale-7 showed convergent validity with pain-related outcomes.

Discussion:

The CARE Scale is the first validated instrument to assess self-care in both sexes among patients with chronic pain. The subscale of difficulty prioritizing self-care emerged as a potentially unique factor that should be integrated in clinical assessment. CARE Scale may facilitate standardized measurement in research and clinical contexts, which may inform a comprehensive treatment focus that integrates individualized self-care planning.

Cross-Sectional Associations of Fatigue Subtypes with Pain Interference in Younger, Middle-Aged, and Older Adults with Chronic Orofacial Pain

Objective

Mental, emotional, physical, and general fatigue, as well as vigor, have each been associated with pain interference—defined as pain-related disruption of social, recreational, and work-related activities—in patients with chronic orofacial pain (COFP). The objectives of the current study were to compare levels of these fatigue subtypes across younger, middle-aged, and older patients with COFP and test the associations between fatigue subtypes and pain interference in these age groups.

Design

A cross-sectional cohort design was used.

Setting

Participants self-reported fatigue subtypes (Multidimensional Fatigue Symptom Inventory–Short Form), pain interference (West Haven–Yale Multidimensional Pain Inventory), pain intensity (visual analog scale), pain duration (months), depression (Symptom Checklist 90–Revised), and sleep quality (Pittsburgh Sleep Quality Index) at their initial appointment at a tertiary orofacial pain clinic.

Subjects

Sixty younger (age 18–39), 134 middle-aged (age 40–59), and 51 older (age 60–79) COFP patients provided data for the study.

Methods

Analysis of variance was used to compare levels of fatigue subtypes between the age groups. Regression with dummy-coding was used to test if the relationship between fatigue subtypes and pain interference varied by age.

Results

Older COFP patients reported less general fatigue and more vigor than younger or middle-aged adults. Fatigue subtypes were each associated with greater pain interference, but associations became nonsignificant after controlling for depression, sleep, and pain intensity/duration. Age group–by–fatigue subtype interactions were not observed.

Conclusions

Managing fatigue may be important to reduce pain interference in COFP populations and may be accomplished in part by improving depression and sleep.

The Oslo University Hospital Pain Registry: development of a digital chronic pain registry and baseline data from 1,712 patients

Background and aims Chronic pain is a leading cause to years lived with disability worldwide. However, few of the interventions used in pain medicine have proven efficacy, and evidence from the existing studies may not be valid for the general pain population. Therefore, it is of utmost need that we describe chronic pain conditions in their most relevant aspects, their various guises, as well as the real world outcomes of our clinical interventions. The most obvious and crude way to make these assessments are through large registries where patient characteristics, treatment characteristics (including but not limited to what, when, how often and by whom), treatment outcomes and patient outcomes are scrutinized and recorded. Methods and results This article describes in detail the design and baseline data of the comprehensive Oslo University Hospital Pain Registry (OPR). OPR is the local registry of the largest university and interdisciplinary outpatient pain clinic in Norway. Data registration started in October 2015, and approximately 1,000 patients are assessed and treated at the clinic each year. During the first 2 years of running the OPR (through September 2017), a total of 1,712 patient baseline reports were recorded from 2,001 patients. Clinicians enter data about relevant treatments and interventions, while patients provide self-reported data on aspects related to pain and pain management. The patients complete an electronic registration immediately before their first consultation at the outpatient pain clinic. The baseline questions of the OPR cover: Basic demographics; The Modified Oswestry Disability Index to assess general function; A pain drawing to assess pain location; Questions regarding the temporal aspects of pain; Six 0-10 Numeric Rating Scales to assess pain intensity and bothersomeness; The EQ-5D-5L to measure health-related quality of life; The Hopkins Symptom Check List-25 to assess psychological distress; A single question about self-rated health; The general self-efficacy scale to assess the patient's perceived self-efficacy; The Bodily Distress Syndrome checklist to assess functional disorders; The Injustice Experience Questionnaire to assess whether the patients experience injustice; Chalder Fatigue Questionnaire to assess fatigue; The Insomnia Severity Index to assesses the levels of insomnia symptoms; The Pain Catastrophizing Scale to measure pain catastrophizing and exaggerated negative orientation toward pain stimuli and pain experience; And the SF36v2 to assess patients' self-report of generic health and wellbeing. The baseline data show that chronic pain patients have a high degree of negative impact in all aspects of their lives. Conclusions and implications The OPR is the most comprehensive pain registry for multidisciplinary and interdisciplinary outpatient pain clinics in Norway. Detailed design of the registry and key baseline data are presented. Registries are of great value in that they enable real world effectiveness outcomes for patients with chronic pain conditions. The OPR can thus serve as a model for similar initiatives elsewhere. The OPR cohort may also serve as a historical control in future studies, both with experimental and observational design.

Stress and Self-Efficacy as Long-Term Predictors for Chronic Low Back Pain: A Prospective Longitudinal Study

Purpose

Psychosocial variables are known risk factors for the development and chronification of low back pain (LBP). Psychosocial stress is one of these risk factors. Therefore, this study aims to identify the most important types of stress predicting LBP. Self-efficacy was included as a potential protective factor related to both, stress and pain.

Participants and Methods

This prospective observational study assessed n = 1071 subjects with low back pain over 2 years. Psychosocial stress was evaluated in a broad manner using instruments assessing perceived stress, stress experiences in work and social contexts, vital exhaustion and life-event stress. Further, self-efficacy and pain (characteristic pain intensity and disability) were assessed. Using least absolute shrinkage selection operator regression, important predictors of characteristic pain intensity and pain-related disability at 1-year and 2-years follow-up were analyzed.

Results

The final sample for the statistic procedure consisted of 588 subjects (age: 39.2 (±13.4) years; baseline pain intensity: 27.8 (±18.4); disability: 14.3 (±17.9)). In the 1-year follow-up, the stress types “tendency to worry”, “social isolation”, “work discontent” as well as vital exhaustion and negative life events were identified as risk factors for both pain intensity and pain-related disability. Within the 2-years follow-up, Lasso models identified the stress types “tendency to worry”, “social isolation”, “social conflicts”, and “perceived long-term stress” as potential risk factors for both pain intensity and disability. Furthermore, “self-efficacy” (“internality”, “self-concept”) and “social externality” play a role in reducing pain-related disability.

Conclusion

Stress experiences in social and work-related contexts were identified as important risk factors for LBP 1 or 2 years in the future, even in subjects with low initial pain levels. Self-efficacy turned out to be a protective factor for pain development, especially in the long-term follow-up. Results suggest a differentiation of stress types in addressing psychosocial factors in research, prevention and therapy approaches.

Evaluation of Candidate Items for Severe PTSD Screening for Patients With Chronic Pain: Pilot Data Analysis With the IRT Approach

OBJECTIVES

Post-traumatic stress disorder (PTSD) commonly co-occurs with chronic pain. Although PTSD symptoms are associated with negative health outcomes in patients with chronic pain, PTSD is typically under-detected and under-treated in outpatient pain settings. There is a need for rapid, brief screening tools to identify those at greatest risk for severe PTSD symptoms. To achieve that goal, our aim was to use item response theory (IRT) to identify the most informative PTSD symptoms characterizing severe PTSD in patients with chronic pain.

METHODS

Fifty-six patients (71% female, 61% White) with mixed etiology chronic pain completed the PTSD Checklist-Civilian Version (PCL-C) as part of their appointment with a pain psychologist at a tertiary outpatient pain clinic. We used an IRT approach to evaluate each item's discriminant (a) and severity (b) parameters.

RESULTS

Findings revealed that "feeling upset at reminders" (a = 3.67, b = 2.44) and "avoid thinking or talking about it" (a = 3.61, b = 2.17) as being highly discriminant for severe PTSD.

CONCLUSIONS

We identified 2 candidate items for a brief PTSD screener as they were associated with severe PTSD symptoms. These 2 items may provide clinical utility in outpatient pain treatment settings to identify those suffering from severe PTSD, enabling physicians to refer them to trauma-specific evaluation or therapy. Future research is needed to further validate and confirm these candidate PTSD items in a larger clinic sample.

LAY SUMMARY

The current study used the IRT approach to identify candidate items for a brief screener for severe PTSD. We examined 17 items of the PCL-C, and identified 2 items that were highly discriminant for severe PTSD. The 2 items were "feeling upset at reminders" and "avoid thinking or talking about it." These 2 items may provide clinical utility, since they may enable physicians to screen and make a referral for further assessment or treatment for PTSD.

Leveraging Digital Data to Inform and Improve Quality Cancer Care

BACKGROUND

Efficient capture of routine clinical care and patient outcomes is needed at a population-level, as is evidence on important treatment-related side effects and their effect on well-being and clinical outcomes. The increasing availability of electronic health records (EHR) offers new opportunities to generate population-level patient-centered evidence on oncologic care that can better guide treatment decisions and patient-valued care.

METHODS

This study includes patients seeking care at an academic medical center, 2008 to 2018. Digital data sources are combined to address missingness, inaccuracy, and noise common to EHR data. Clinical concepts were identified and extracted from EHR unstructured data using natural language processing (NLP) and machine/deep learning techniques. All models are trained, tested, and validated on independent data samples using standard metrics.

RESULTS

We provide use cases for using EHR data to assess guideline adherence and quality measurements among patients with cancer. Pretreatment assessment was evaluated by guideline adherence and quality metrics for cancer staging metrics. Our studies in perioperative quality focused on medications administered and guideline adherence. Patient outcomes included treatment-related side effects and patient-reported outcomes.

CONCLUSIONS

Advanced technologies applied to EHRs present opportunities to advance population-level quality assessment, to learn from routinely collected clinical data for personalized treatment guidelines, and to augment epidemiologic and population health studies. The effective use of digital data can inform patient-valued care, quality initiatives, and policy guidelines.

IMPACT

A comprehensive set of health data analyzed with advanced technologies results in a unique resource that facilitates wide-ranging, innovative, and impactful research on prostate cancer. This work demonstrates new ways to use the EHRs and technology to advance epidemiologic studies and benefit oncologic care.See all articles in this CEBP Focus section, "Modernizing Population Science."

The Impact of Perceived Injustice on Pain-related Outcomes: A Combined Model Examining the Mediating Roles of Pain Acceptance and Anger in a Chronic Pain Sample

OBJECTIVE

Perceived injustice (PI) has been identified as an important risk factor for pain-related outcomes. To date, research has shown that pain acceptance and anger are mediators of the association between PI and pain-related outcomes. However, a combined conceptual model that addresses the interrelationships between these variables is currently lacking. Therefore, the current study aimed to examine the potential mediating roles of pain acceptance and anger on the association between PI and adverse pain-related outcomes (physical function, pain intensity, opioid use status).

MATERIALS AND METHOD

This cross-sectional study used a sample of 354 patients with chronic pain being treated at a tertiary pain treatment center. Participants completed measures of PI, pain acceptance, anger, physical function, pain intensity, and opioid use status. Mediation analyses were used to examine the impact of pain acceptance and anger on the association between PI and pain-related outcomes.

RESULTS

Examination of the specific indirect effects revealed that pain acceptance fully mediated the relationship between PI and physical function, as well as the relationship between PI and opioid use status. Pain acceptance emerged as a partial mediator of the relationship between PI and pain intensity.

DISCUSSION

This is the first study to provide a combined conceptual model investigating the mediating roles of pain acceptance and anger on the relationship between PI and pain outcomes. On the basis of our findings, low levels of pain acceptance associated with PI may help explain the association between PI and adverse pain outcomes. Clinical and theoretical implications are discussed.

Operationalizing Multidisciplinary Assessment and Treatment as a Quality Metric for Interventional Pain Practices

Objective

Quality improvement (QI) is an underutilized approach among pain medicine specialists to improve comprehensive pain assessment and the delivery of multimodal pain care. We report the results of a QI program that utilized peer review and financial incentives to improve these processes in interventional pain clinics.

Design

Retrospective chart review.

Setting

Eight academic and community-based practices that included separate hospital-based and non-hospital-based interventional pain clinics.

Subjects

Results of chart audits by nine academic pain medicine physicians.

Methods

An audit of a random sample of each pain physician's charts was periodically examined for mention and discussion of specific components of multidisciplinary pain care. A portion of the physician's incentive payment was withheld if less than 70% of charts were compliant. The rates of compliance after the intervention for the group were compared.

Results

Before this program was instituted, an audit of 10 patient charts from each of the nine pain medicine physicians revealed only a 13% baseline rate of compliance. After the audit system was implemented, 90% of all patient charts were compliant during the first 12-month period (P < 0.01 for the change in rate of compliance).

Conclusions

The results of this QI project suggest that pain clinics can make this value-based transition and offer high-quality multidisciplinary assessment and treatment, with good compliance among a group of physicians in primarily intervention-based practices.

Response to BotulinumtoxinA in a migraine cohort with multiple comorbidities and widespread pain

BACKGROUND

The phase III research evaluating migraine prophylaxis therapy (PREEMPT) protocol was developed in low-risk migraine patients. We studied longitudinal response to treatment in a sequential retrospective observational cohort to evaluate predictors of effectiveness in patients with multiple overlapping pain syndromes treated in a quaternary pain management clinic.

METHODS

We evaluated indicators of individual response in 402 consecutive chronic migraine patients who provided demographic information and used the Collaborative Health Outcomes Information Registry.

RESULTS

The patients were middle aged 47 (38-56) median (IQR) years old and 83% women. They reported multiple complex pain problems with 11 (6-18) regions represented on a pain body map. Evaluated with National Institutes of Health Patient-Reported Outcomes Measurement Information System measures, they reported higher scores for sleep impairment and disturbance, anxiety, depression, fatigue, pain behavior, pain interference and worse function and satisfaction with social roles compared with the general US population; p<0.001 for all domains. Within 120 days of treatment, 62% of patients reported reduced headache frequency. The best multivariable model developed for prediction of reduced headache frequency in response to treatment included lower treatment number, lower pain interference score, and less depression (p=0.001, 0.002, and 0.009). Depression may have been an obstacle to successful treatment; there was no association between depression score and number of treatments (p=0.54).

CONCLUSIONS

Our findings point to the importance of identifying and addressing pain interference and depression early in chronic migraine management and, more broadly, highlights the importance of multidisciplinary evaluation and treatment in chronic migraine.

Opportunities and challenges for junior investigators conducting pain clinical trials

Introduction

Clinical investigation serves a vital role to advance treatment and management stratgies for patients with pain. For those new to clinical investigation, key advice for both the novice clinical-investigator and the experienced researcher expanding to translational work may accelerate research efforts.

Objective

To review foundational material relevant to junior investigators focusing on pain clinical trials, with an emphasis on randomized controlled trials.

Methods

We reviewed recent publications and resources relevant to clinical investigators, with a particular emphasis on pain research.

Results

Understanding the approaches and barriers to clinical pain research is a first step to building a successful investigative portfolio. Key components of professional development include motivation, mentorship, and collaborative approaches to research. Many junior clinical-investigators face challenges in pursing research careers and sparking iterative progress towards success in clinical trials. Pain-specific research metrics and goals-including hypothesis development, study design considerations, and regulatory concerns-are also important considerations to junior investigators who pursue clinical trails. Approaches to build toward collaborative and independent funding are essential for investigators.

Conclusions

This work provides a foundation for understanding the clinical research process and helps inform the goals and plans of clinical-investigators.

Implementation Challenges Using a Novel Method for Collecting Patient-Reported Outcomes After Injury

BACKGROUND

Monitoring longitudinal patient-reported outcomes after injury is important for comprehensive trauma care. Current methodologies are resource-intensive and struggle to engage patients.

MATERIALS AND METHODS

Patients ≥18 y old admitted to the trauma service were prospectively enrolled. The following inclusion criteria were used: emergency operation, ICU length of stay ≥2 midnights, or hospital length of stay ≥4 d. Validated and customized questionnaires were administered using a novel internet-based survey platform. Three-month follow-up surveys were administered. Contextual field notes regarding barriers to enrollment/completion of surveys and challenges faced by participants were recorded.

RESULTS

Forty-seven patients were eligible; 26 of 47 (55%) enrolled and 19 of 26 (73%) completed initial surveys. The final sample included 14 (74%) men and 5 (26%) women. Primary barriers to enrollment included technological constraints and declined participation. Contextual field notes revealed three major issues: competing hospital tasks, problems with technology, and poor engagement. The average survey completion time was 43 ± 27 min-21% found this too long. Seventy-four percent reported the system "easy to use" and 95% reported they would "very likely" or "definitely" respond to future surveys. However, 10 of 26 (38%) patients completed 3-mo follow-up.

CONCLUSIONS

Despite a well-rated internet-based survey platform, study participation remained challenging. Lack of email access and technological issues decreased enrollment and the busy hospitalization posed barriers to completion. Despite a thoughtful operational design and implementation plan, the trauma population presented a challenging group to engage. Next steps will focus on optimizing engagement, broadening access to survey reminders, and enhancing integration into clinical workflows.

A review and synthesis of correlates of fatigue in osteoarthritis

Fatigue affects nearly half of all adults with osteoarthritis. Affected individuals report difficulty with daily functioning, requiring more time and rest during activities, feeling easily exhausted, and having to give up on social and volunteer activities known to improve quality of life. Because its etiology is poorly understood, clinical practice guidelines are unable to address management of fatigue in osteoarthritis. Elucidating a mechanism of osteoarthritis fatigue is a high priority, but few studies have identified key factors associated with fatigue in osteoarthritis. Thus, the purpose of this narrative literature review is to present the current evidence of known and potential correlates of fatigue in osteoarthritis, and synthesize our findings into a conceptual framework. The overarching goal of this work is to provide insight into areas of needed research and guide future work toward mechanistic insight of osteoarthritis fatigue. This knowledge could lead to novel nursing interventions for prevention, management, and treatment of fatigue among adults with osteoarthritis.