Translating e-pain research into patient care

Mobile Health App and Web Platform (eDOL) for Medical Follow-Up of Patients With Chronic Pain: Cohort Study Involving the French eDOL National Cohort After 1 Year

BACKGROUND

Chronic pain affects approximately 30% of the general population, severely degrades quality of life and professional life, and leads to additional health care costs. Moreover, the medical follow-up of patients with chronic pain remains complex and provides only fragmentary data on painful daily experiences. This situation makes the management of patients with chronic pain less than optimal and may partly explain the lack of effectiveness of current therapies. Real-life monitoring of subjective and objective markers of chronic pain using mobile health (mHealth) programs could better characterize patients, chronic pain, pain medications, and daily impact to help medical management.

OBJECTIVE

This cohort study aimed to assess the ability of our mHealth tool (eDOL) to collect extensive real-life medical data from chronic pain patients after 1 year of use. The data collected in this way would provide new epidemiological and pathophysiological data on chronic pain.

METHODS

A French national cohort of patients with chronic pain treated at 18 pain clinics has been established and followed up using mHealth tools. This cohort makes it possible to collect the determinants and repercussions of chronic pain and their evolutions in a real-life context, taking into account all environmental events likely to influence chronic pain. The patients were asked to complete several questionnaires, body schemes, and weekly meters, and were able to interact with a chatbot and use educational modules on chronic pain. Physicians could monitor their patients' progress in real time via an online platform.

RESULTS

The cohort study included 1427 patients and analyzed 1178 patients. The eDOL tool was able to collect various sociodemographic data; specific data for characterizing pain disorders, including body scheme; data on comorbidities related to chronic pain and its psychological and overall impact on patients' quality of life; data on drug and nondrug therapeutics and their benefit-to-risk ratio; and medical or treatment history. Among the patients completing weekly meters, 49.4% (497/1007) continued to complete them after 3 months of follow-up, and the proportion stabilized at 39.3% (108/275) after 12 months of follow-up. Overall, despite a fairly high attrition rate over the follow-up period, the eDOL tool collected extensive data. This amount of data will increase over time and provide a significant volume of health data of interest for future research involving the epidemiology, care pathways, trajectories, medical management, sociodemographic characteristics, and other aspects of patients with chronic pain.

CONCLUSIONS

This work demonstrates that the mHealth tool eDOL is able to generate a considerable volume of data concerning the determinants and repercussions of chronic pain and their evolutions in a real-life context. The eDOL tool can incorporate numerous parameters to ensure the detailed characterization of patients with chronic pain for future research and pain management.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04880096; https://clinicaltrials.gov/ct2/show/NCT04880096.

Development and impact of a tailored eHealth resource on fibromyalgia patient's self-management and self-efficacy: A mixed methods approach

Aim

To develop an eHealth resource to support fibromyalgia patients and explore it for usability and impact on their self-management and self-efficacy.

Background

Fibromyalgia is a complex, non-progressive chronic condition characterised by a bewildering array of symptoms for patients to self-manage. International guidelines recommend patients receive illness-specific information once diagnosed to promote self-management and improve health-related quality of life.

Design

A 3-phase mixed methods exploratory sequential design.

Methods

Qualitative interviews explored the information and self-management needs of fibromyalgia patients attending a large tertiary hospital in Dublin. Identified themes together with an extensive review of the literature of interventions proven to be impactful by patients with fibromyalgia were utilised in the design and development of the eHealth resource. The resource was tested for usability and impact using pre and post-intervention outcomes measures.

Results

Patient interviews highlighted a lack of easy accessible evidenced information to support self-management implicating the urgent need for a practical solution through development of a tailored eHealth resource. Six themes emerged for inclusion; illness knowledge, primary symptoms, treatment options, self-management strategies, practical support and reliable resources. Forty-five patients who tested the site for usability and impact demonstrated a statistically significant improvement in self-efficacy after 4 weeks access with a medium positive effect size. Patients with the most severe fibromyalgia impact scores pre-intervention demonstrated the most improvement after 4 weeks. Patients gave the resource a System Usability Score A rating, highly recommending it for fellow patients diagnosed with fibromyalgia.

Conclusions

The study demonstrated how the development of a novel eHealth resource positively impacted fibromyalgia patients' self-efficacy to cope with this debilitating condition.

Impact

This study suggests that access to eHealth can positively impact patients self-efficacy, has the potential to be a template for eHealth development in other chronic conditions, supporting advanced nurse practitioners working in chronic disease management.

Mapping the Design Space of Technology-Based Solutions for Better Chronic Pain Care: Introducing the Pain Tech Landscape

OBJECTIVES

Technology has substantial potential to transform and extend care for persons with chronic pain, a burdensome and costly condition. To catalyze the development of impactful applications of technology in this space, we developed the Pain Tech Landscape (PTL) model, which integrates pain care needs with characteristics of technological solutions.

METHODS

Our interdisciplinary group representing experts in pain and human factors research developed PTL through iterative discussions. To demonstrate one potential use of the model, we apply data generated from a narrative review of selected pain and technology journals (2000-2020) in the form of heat map overlays, to reveal where pain tech research attention has focused to date.

RESULTS

The PTL comprises three two-dimensional planes, with pain care needs on each x axis (measurement to management) and technology applications on the y axes according to a) user agency (user- to system-driven), b) usage time frame (temporary to lifelong), and c) collaboration (single-user to collaborative). Heat maps show that existing applications reside primarily in the "user-driven/management" quadrant (e.g., self-care apps). Examples of less developed areas include artificial intelligence and Internet of Things (i.e., Internet-linked household objects), and collaborative/social tools for pain management.

CONCLUSIONS

Collaborative development between the pain and tech fields in early developmental stages using the PTL as a common language could yield impactful solutions for chronic pain management. The PTL could also be used to track developments in the field over time. We encourage periodic reassessment and refinement of the PTL model, which can also be adapted to other chronic conditions.

Psychological therapies delivered remotely for the management of chronic pain (excluding headache) in adults

BACKGROUND

Chronic pain (pain lasting three months or more) is an unpleasant sensory and emotional experience associated with actual or potential tissue damage. Common types (excluding headache) include back pain, fibromyalgia, and neuropathic pain. Access to traditional face-to-face therapies can be restricted by healthcare resources, geography, and cost. Remote technology-based delivery of psychological therapies has the potential to overcome treatment barriers. However, their therapeutic effectiveness compared to traditional delivery methods requires further investigation.

OBJECTIVES

To determine the benefits and harms of remotely-delivered psychological therapies compared to active control, waiting list, or treatment as usual for the management of chronic pain in adults.

SEARCH METHODS

We searched for randomised controlled trials (RCTs) in CENTRAL, MEDLINE, Embase, and PsycINFO to 29 June 2022. We also searched clinical trials registers and reference lists. We conducted a citation search of included trials to identify any further eligible trials.

SELECTION CRITERIA

We included RCTs in adults (≥ 18 years old) with chronic pain. Interventions included psychological therapies with recognisable psychotherapeutic content or based on psychological theory. Trials had to have delivered therapy remote from the therapist (e.g. Internet, smartphone application) and involve no more than 30% contact time with a clinician. Comparators included treatment as usual (including waiting-list controls) and active controls (e.g. education).

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methodological procedures.

MAIN RESULTS

We included 32 trials (4924 participants) in the analyses. Twenty-five studies delivered cognitive behavioural therapy (CBT) to participants, and seven delivered acceptance and commitment therapy (ACT). Participants had back pain, musculoskeletal pain, opioid-treated chronic pain, mixed chronic pain, hip or knee osteoarthritis, spinal cord injury, fibromyalgia, provoked vestibulodynia, or rheumatoid arthritis. We assessed 25 studies as having an unclear or high risk of bias for selective reporting. However, across studies overall, risk of bias was generally low. We downgraded evidence certainty for primary outcomes for inconsistency, imprecision, and study limitations. Certainty of evidence ranged from moderate to very low. Adverse events were inadequately reported or recorded across studies. We report results only for studies in CBT here. Cognitive behavioural therapy (CBT) versus treatment as usual (TAU) Pain intensity Immediately after treatment, CBT likely demonstrates a small beneficial effect compared to TAU (standardised mean difference (SMD) -0.28, 95% confidence interval (CI) -0.39 to -0.16; 20 studies, 3206 participants; moderate-certainty evidence). Participants receiving CBT are probably more likely to achieve a 30% improvement in pain intensity compared to TAU (23% versus 11%; risk ratio (RR) 2.15, 95% CI 1.62 to 2.85; 5 studies, 1347 participants; moderate-certainty evidence). They may also be more likely to achieve a 50% improvement in pain intensity (6% versus 2%; RR 2.31, 95% CI 1.14 to 4.66; 4 studies, 1229 participants), but the evidence is of low certainty. At follow-up, there is likely little to no difference in pain intensity between CBT and TAU (SMD -0.04, 95% CI -0.17 to 0.09; 8 studies, 959 participants; moderate-certainty evidence). The evidence comparing CBT to TAU on achieving a 30% improvement in pain is very uncertain (40% versus 24%; RR 1.70, 95% CI 0.82 to 3.53; 1 study, 69 participants). No evidence was available regarding a 50% improvement in pain. Functional disability Immediately after treatment, CBT may demonstrate a small beneficial improvement compared to TAU (SMD -0.38, 95% CI -0.53 to -0.22; 14 studies, 2672 participants; low-certainty evidence). At follow-up, there is likely little to no difference between treatments (SMD -0.05, 95% CI -0.23 to 0.14; 3 studies, 461 participants; moderate-certainty evidence). Quality of life Immediately after treatment, CBT may not have resulted in a beneficial effect on quality of life compared to TAU, but the evidence is very uncertain (SMD -0.16, 95% CI -0.43 to 0.11; 7 studies, 1423 participants). There is likely little to no difference between CBT and TAU on quality of life at follow-up (SMD -0.16, 95% CI -0.37 to 0.05; 3 studies, 352 participants; moderate-certainty evidence). Adverse events Immediately after treatment, evidence about the number of people experiencing adverse events is very uncertain (34% in TAU versus 6% in CBT; RR 6.00, 95% CI 2.2 to 16.40; 1 study, 140 participants). No evidence was available at follow-up. Cognitive behavioural therapy (CBT) versus active control Pain intensity Immediately after treatment, CBT likely demonstrates a small beneficial effect compared to active control (SMD -0.28, 95% CI -0.52 to -0.04; 3 studies, 261 participants; moderate-certainty evidence). The evidence at follow-up is very uncertain (mean difference (MD) 0.50, 95% CI -0.30 to 1.30; 1 study, 127 participants). No evidence was available for a 30% or 50% pain intensity improvement. Functional disability Immediately after treatment, there may be little to no difference between CBT and active control on functional disability (SMD -0.26, 95% CI -0.55 to 0.02; 2 studies, 189 participants; low-certainty evidence). The evidence at follow-up is very uncertain (MD 3.40, 95% CI -1.15 to 7.95; 1 study, 127 participants). Quality of life Immediately after treatment, there is likely little to no difference in CBT and active control (SMD -0.22, 95% CI -1.11 to 0.66; 3 studies, 261 participants; moderate-certainty evidence). The evidence at follow-up is very uncertain (MD 0.00, 95% CI -0.06 to 0.06; 1 study, 127 participants). Adverse events Immediately after treatment, the evidence comparing CBT to active control is very uncertain (2% versus 0%; RR 3.23, 95% CI 0.13 to 77.84; 1 study, 135 participants). No evidence was available at follow-up.

AUTHORS' CONCLUSIONS

Currently, evidence about remotely-delivered psychological therapies is largely limited to Internet-based delivery of CBT. We found evidence that remotely-delivered CBT has small benefits for pain intensity (moderate certainty) and functional disability (moderate to low certainty) in adults experiencing chronic pain. Benefits were not maintained at follow-up. Our appraisal of quality of life and adverse events outcomes post-treatment were limited by study numbers, evidence certainty, or both. We found limited research (mostly low to very low certainty) exploring other psychological therapies (i.e. ACT). More high-quality studies are needed to assess the broad translatability of psychological therapies to remote delivery, the different delivery technologies, treatment longevity, comparison with active control, and adverse events.

Digital health tools for pain monitoring in pediatric oncology: a scoping review and qualitative assessment of barriers and facilitators of implementation

PURPOSE

We aimed to systematically identify and characterize existing digital health tools for pain monitoring in children with cancer, and to assess common barriers and facilitators of implementation.

METHODS

A comprehensive literature search (PubMed, Cochrane, Embase, and PsycINFO) was carried out to identify published research on mobile apps and wearable devices focusing on acute and/or chronic pain in children (0-18 years) with cancer (all diagnoses) during active treatment. Tools had to at least include a monitoring feature for one or more pain characteristic(s) (e.g., presence, severity, perceived cause interference with daily life). Project leaders of identified tools were invited for an interview on barriers and facilitators.

RESULTS

Of 121 potential publications, 33 met inclusion criteria, describing 14 tools. Two methods of delivery were used: apps (n=13), and a wearable wristband (n=1). Most publications focused on feasibility and acceptability. Results of interviews with project leaders (100% response rate), reveal that most barriers to implementation were identified in the organizational context (47% of barriers), with financial resources and insufficient time available mentioned most often. Most factors that facilitated implementation related to end users (56% of facilitators), with end-user cooperation and end-user satisfaction mentioned most often.

CONCLUSIONS

Existing digital tools for pain in children with cancer were mostly apps directed at pain severity monitoring and little is still known about their effectiveness. Paying attention to common barriers and facilitators, especially taking into account realistic funding expectations and involving end users during early stages of new projects, might prevent evidence based interventions from ending up unused.

Efficacy of a Digital Acceptance and Commitment Therapy Intervention for the Improvement of Self-management Behaviors and Psychological Flexibility in Adults With Cardiac Disease: Protocol for a Single Case Experimental Design

BACKGROUND

Research indicates that the management of distress levels in those with cardiac disease is not only important for improving quality of life and functioning but also critical for condition management; adherence to treatment; and, ultimately, disease prognosis and progression. Acceptance and commitment therapy (ACT) has consistently demonstrated positive long-term outcomes across a wide array of conditions, including chronic illness. However, most empirical investigations conducted to date have also involved in-person therapy, which can be difficult to access, particularly for those dealing with the demands of chronic disease.

OBJECTIVE

The objective of our research is to evaluate a digital ACT intervention for improving self-management behaviors and distress levels in those with cardiac conditions.

METHODS

The digital ACT intervention will be delivered via a digital health self-management platform over 6 sessions. This will involve a randomized, multiple baseline, single case experimental design with approximately 3 to 15 adults with cardiac disease. The independent variable for each participant will be the pre-post intervention phase. The dependent variables will be a daily self-report measure of psychological flexibility as well as objective measures of condition self-management (eg, blood pressure readings) and engagement with the app (eg, completing guided mindfulness). One-to-one qualitative interviews will also be conducted to further examine participants' experiences with using the intervention and what factors contribute to or impede successful outcomes.

RESULTS

Participant recruitment and data collection began in October 2021, and it is projected that the study findings will be available for dissemination by spring 2022.

CONCLUSIONS

The findings will be discussed in terms of how a digital ACT intervention can best meet the needs of cardiac patients.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/33783.

eDOL mHealth App and Web Platform for Self-monitoring and Medical Follow-up of Patients With Chronic Pain: Observational Feasibility Study

BACKGROUND

Chronic pain affects approximately 30% of the general population, severely degrades quality of life (especially in older adults) and professional life (inability or reduction in the ability to work and loss of employment), and leads to billions in additional health care costs. Moreover, available painkillers are old, with limited efficacy and can cause significant adverse effects. Thus, there is a need for innovation in the management of chronic pain. Better characterization of patients could help to identify the predictors of successful treatments, and thus, guide physicians in the initial choice of treatment and in the follow-up of their patients. Nevertheless, current assessments of patients with chronic pain provide only fragmentary data on painful daily experiences. Real-life monitoring of subjective and objective markers of chronic pain using mobile health (mHealth) programs can address this issue.

OBJECTIVE

We hypothesized that regular patient self-monitoring using an mHealth app would lead physicians to obtain deeper understanding and new insight into patients with chronic pain and that, for patients, regular self-monitoring using an mHealth app would play a positive therapeutic role and improve adherence to treatment. We aimed to evaluate the feasibility and acceptability of a new mHealth app called eDOL.

METHODS

We conducted an observational study to assess the feasibility and acceptability of the eDOL tool. Patients completed several questionnaires using the tool over a period of 2 weeks and repeated assessments weekly over a period of 3 months. Physicians saw their patients at a follow-up visit that took place at least 3 months after the inclusion visit. A composite criterion of the acceptability and feasibility of the eDOL tool was calculated after the completion of study using satisfaction surveys from both patients and physicians.

RESULTS

Data from 105 patients (of 133 who were included) were analyzed. The rate of adherence was 61.9% (65/105) after 3 months. The median acceptability score was 7 (out of 10) for both patients and physicians. There was a high rate of completion of the baseline questionnaires and assessments (mean 89.3%), and a low rate of completion of the follow-up questionnaires and assessments (63.8% (67/105) and 61.9% (65/105) respectively). We were also able to characterize subgroups of patients and determine a profile of those who adhered to eDOL. We obtained 4 clusters that differ from each other in their biopsychosocial characteristics. Cluster 4 corresponds to patients with more disabling chronic pain (daily impact and comorbidities) and vice versa for cluster 1.

CONCLUSIONS

This work demonstrates that eDOL is highly feasible and acceptable for both patients with chronic pain and their physicians. It also shows that such a tool can integrate many parameters to ensure the detailed characterization of patients for future research works and pain management.

TRIAL REGISTRATION

ClinicalTrial.gov NCT03931694; http://clinicaltrials.gov/ct2/show/NCT03931694.

Investigating the needs and concerns of older adults with multimorbidity and their healthcare professionals for conceivable digital psychotherapeutic interventions

Multimorbidity, defined as the concurrent experience of more than one chronic health condition in an individual, affects ∼65% of people over 65 and 85% of those over 85 years old with 30% of those also experiencing mental health concerns. This can lead to reduced quality of life and functioning as well as poorer outcomes in terms of condition management, adherence to treatment, and ultimately disease prognosis and progression. Digital health interventions offer a viable means of condition self-management, as well as psychological support, particularly for those who may have difficulty accessing in-person services. To best meet the needs of older adults with multimorbidity, deeper insights are needed into their specific concerns and issues around condition management, particularly with regard to distress in relation to managing one's condition. The present study aimed to explore this using one-to-one qualitative interviews and focus groups with people with chronic health conditions and healthcare professionals. Participants were 11 older adults with multimorbidity (4 males; mean age: M = 72.7 years) and 14 healthcare professionals including five clinical nurse specialists, four pharmacists, two general practitioners, one occupational therapist, one speech and language therapist and one dietician. Thematic analysis was used to identify key themes, which included: patient feelings of anxiety or worry leading to an unwillingness to access essential information; the various mental health challenges faced by those with multimorbidity; the importance of personal values in providing motivation; and the importance of social support. Findings are discussed in relation to the potential development of transdiagnostically applicable digital interventions for the management of distress in those with multimorbidity.

An eCoach-Pain for Patients with Chronic Musculoskeletal Pain in Interdisciplinary Primary Care: A Feasibility Study

eHealth could support cost-effective interdisciplinary primary care for patients with chronic musculoskeletal pain. This study aims to explore the feasibility of the eCoach-Pain, comprising a tool measuring pain complexity, diaries, pain education sessions, monitoring options, and chat function. Feasibility was evaluated (June–December 2020) by assessing learnability, usability, desirability, adherence to the application, and experiences from patients and general practitioners, practice nurses mental health, and physiotherapists. Six primary healthcare professionals (PHCPs) from two settings participated in the study and recruited 29 patients (72% female, median age 50.0 years (IQR = 24.0)). PHCPs participated in a focus group. Patient data was collected by evaluation questionnaires, individual interviews, and eCoach-Pain-use registration. Patients used the eCoach during the entire treatment phase (on average 107.0 days (IQR = 46.0); 23 patients completed the pain complexity tool and used the educational sessions, and 12 patients the chat function. Patients were satisfied with the eCoach-Pain (median grade 7.0 (IQR = 2.8) on a 0–10 scale) and made some recommendations for better fit with patient-specific complaints. According to PHCPs, the eCoach-Pain is of added value to their treatment, and patients also see treatment benefits. However, the implementation strategy is important for successful use of the eCoach-Pain. It is recommended to improve this strategy and involve a case-manager per patient.

The Pain Course: a randomised controlled trial and economic evaluation of an internet-delivered pain management program

ABSTRACT

There is interest in the potential of Internet-delivered programs to cost-effectively increase access to pain management for people with chronic pain. However, few large-scale clinical and economic evaluations have been undertaken. Using a randomised controlled trial design, the current study (n = 659) examined the clinical efficacy, cost-effectiveness, and cost utility of an Internet-delivered pain management program for people with mixed chronic pain conditions when delivered with optional clinician support. The treatment group reported significant improvements in disability, depression, anxiety, average pain intensity, and quality-adjusted life years (QALYs), compared with control, and exhibited relatively high levels of treatment engagement and satisfaction. Each additional clinical improvement (defined as ≥ 30% improvement) produced by the intervention, over control, was associated with a cost of $48, $27, $38, and $83 for disability, depression, anxiety, and average pain intensity, respectively. Gaining one QALY was associated with a cost of $152 or $11,910 per QALY when an 80% probability criterion for cost utility was applied. The program itself was associated a relatively small, fixed, cost per patient but was not cost saving over the brief intervention period. The findings support the clinical efficacy and cost-effectiveness of Internet-delivered programs with "on demand" clinician support as a way to increase access to pain management. Key limitations of the current study include the use of a waitlist-control group, a short follow-up period, and the focus on governmental healthcare costs. Further evaluation of these programs is necessary if they are scaled up and offered as routine care.

Pain and analgesics in patients with hard-to-heal ulcers: using telemedicine or standard consultations

OBJECTIVE

To compare consultations carried out via video with those performed in person for patients with painful, hard-to-heal ulcers, with a focus on ulcer pain and pain treatment. A further aim was to investigate predictors for pain and pain treatment.

METHOD

This was a register-based, quasi-experimental study based on data from the Swedish Registry of Ulcer Treatment (RUT). A total of 100 patients with hard-to-heal ulcers diagnosed via video consultation were compared with 1888 patients diagnosed in person with regard to pain assessment, intensity and treatment. Ulcer pain intensity was assessed by the visual analogue scale (VAS). Normally distributed variables (age, VAS) were compared between consultation groups using Student's t-test. Non-normally distributed variables (ulcer size, ulcer duration) were compared using the Mann-Whitney U-test, except for healing time, which was analysed with a log-rank test. Categorical variables (gender, ulcer aetiology and prescribed analgesics) were compared using Pearson's chi-square test (χ²). A p value of less than 0.05 was considered to indicate statistical significance. Predictors for pain and pain treatment were analysed in multiple regression analyses.

RESULTS

The results showed a high presence of pain; 71% of patients with pain reported severe ulcer pain. There was no significant difference in ability to assess pain by VAS in the group diagnosed via video consultation (90%) compared with the group diagnosed in person (86%) (χ², p=0.233). A significantly higher amount of prescribed analgesics was found for patients diagnosed via video (84%) compared with patients diagnosed by in-person assessment (68%) (χ², p=0.044). Predictors for high-intensity pain were female gender or ulcers due to inflammatory vessel disease, while the predictors for receiving analgesics were older age, longer healing time and being diagnosed via video consultation.

CONCLUSION

To identify, assess and treat ulcer pain is equally possible via video as by in-person consultation. The results of this study confirm that patients with hard-to-heal ulcers suffer from high-intensity ulcer pain, with a discrepancy between pain and pain relief. Further well-designed randomised controlled studies are necessary to understand how best to deploy telemedicine in ulcer pain treatment.

A digital health psychological intervention (WebMAP Mobile) for children and adolescents with chronic pain: results of a hybrid effectiveness-implementation stepped-wedge cluster randomized trial

Supplemental Digital Content is Available in the Text.

Using a hybrid implementation-effectiveness design, our digital psychological intervention for pediatric chronic pain (WebMAP) demonstrated successful implementation, but effectiveness was limited by modest treatment engagement.

Although psychological treatments benefit youth with chronic pain, treatment is not accessible in most communities. Digital health interventions offer promise for expanding access and reach to this population. Using a stepped-wedge cluster randomized trial design, we evaluated effectiveness and implementation of a digital health delivered psychological intervention for pediatric chronic pain. One hundred forty-three youth, aged 10 to 17 years, with chronic pain and a caregiver were recruited from 8 clinics in the United States. Active intervention included access to the Web-based Management of Adolescent Pain (WebMAP) Mobile app and the WebMAP parent web site to learn pain self-management skills. Effectiveness outcomes included pain intensity, disability, and patient global impression of change, while Reach, Adoption, Implementation, and Maintenance were implementation outcomes. Results showed that youth in both treatment conditions (WebMAP vs Usual Care) had similar changes over time in pain and disability. Youth in the WebMAP condition perceived greater improvement (patient global impression of change) at post-treatment and follow-up (d's = 0.54 and 0.44, P < 0.05) compared with youth receiving usual care. Use of the digital health intervention was modest and variable; approximately 30% of youth and parents completed treatment. Greater engagement (number of completed modules) was associated with significantly greater reductions in pain and disability from pre-treatment to follow-up (d's = −0.57 and −0.38, P < 0.05). Parents, youth, and providers found treatment acceptable; providers had positive attitudes and demonstrated referrals over a maintenance period. Further research is needed to understand how to enhance treatment engagement with digital health interventions and optimize implementation.

Pain and analgaesics in patients with hard-to-heal ulcers: using telemedicine or standard consultations

OBJECTIVE

To compare consultations carried out via video with those performed in person for patients with painful, hard-to-heal ulcers, with a focus on ulcer pain and pain treatment. A further aim was to investigate predictors for pain and pain treatment.

METHOD

This was a register-based, quasi-experimental study based on data from the Swedish Registry of Ulcer Treatment (RUT). A total of 100 patients with hard-to-heal ulcers diagnosed via video consultation were compared with 1888 patients diagnosed in person with regard to pain assessment, intensity and treatment. Ulcer pain intensity was assessed by the visual analogue scale (VAS). Normally distributed variables (age, VAS) were compared between consultation groups using Student's t-test. Non-normally distributed variables (ulcer size, ulcer duration) were compared using the Mann-Whitney U-test, except for healing time, which was analysed with a log-rank test. Categorical variables (gender, ulcer aetiology and prescribed analgesics) were compared using Pearson's chi-square test (χ²). A p value of less than 0.05 was considered to indicate statistical significance. Predictors for pain and pain treatment were analysed in multiple regression analyses.

RESULTS

The results showed a high presence of pain; 71% of patients with pain reported severe ulcer pain. There was no significant difference in ability to assess pain by VAS in the group diagnosed via video consultation (90%) compared with the group diagnosed in person (86%) (χ², p=0.233). A significantly higher amount of prescribed analgesics was found for patients diagnosed via video (84%) compared with patients diagnosed by in-person assessment (68%) (χ², p=0.044). Predictors for high-intensity pain were female gender or ulcers due to inflammatory vessel disease, while the predictors for receiving analgesics were older age, longer healing time and being diagnosed via video consultation.

CONCLUSION

To identify, assess and treat ulcer pain is equally possible via video as by in-person consultation. The results of this study confirm that patients with hard-to-heal ulcers suffer from high-intensity ulcer pain, with a discrepancy between pain and pain relief. Further well-designed randomised controlled studies are necessary to understand how best to deploy telemedicine in ulcer pain treatment.

The Pain Course: Exploring the Feasibility of an Internet-delivered Pain Management Program When Offered by a Tertiary Pain Management Service

BACKGROUND

This study examined the acceptability and preliminary outcomes of an internet-delivered pain management program, the Pain Course, when offered by a specialist pain management clinic in a large public hospital.

METHODS

A single-group feasibility open-trial design was used and 39 patients participated in the program, which ran for 8 weeks. Participants were supported through the program with weekly contact from a Clinical Psychologist at the clinic.

RESULTS

All participants provided data at posttreatment and >90% of participants completed all 5 lessons of the course. High levels of satisfaction were observed and relatively little clinician time (M=71.99 min/participant; SD=32.82 min) was required to support patients through the program. Preliminary evidence of clinical improvements in depression symptoms (avg. improvement=38%; Cohen d=0.74), but not disability levels or anxiety symptoms, was observed in the overall sample. However, evidence of improvements was observed across all the primary outcomes among patients who had clinical levels of difficulties with disability (n=20; avg. improvement=11%; Cohen d=0.64), depression (n=17; avg. improvement=35%; Cohen d=1.24) and anxiety (n=8; avg. improvement=29%; Cohen d=0.57).

CONCLUSIONS

These findings highlight the potential value of internet-delivered programs when provided by specialist pain management clinics as a part of their services and the value of larger scale studies in this area.

An Evaluation of the Effectiveness of the Modalities Used to Deliver Electronic Health Interventions for Chronic Pain: Systematic Review With Network Meta-Analysis

BACKGROUND

Electronic health (eHealth) is the use of information and communication technology in the context of health care and health research. Recently, there has been a rise in the number of eHealth modalities and the frequency with which they are used to deliver technology-assisted self-management interventions for people living with chronic pain. However, there has been little or no research directly comparing these eHealth modalities.

OBJECTIVE

The aim of this systematic review with a network meta-analysis (NMA) is to compare the effectiveness of eHealth modalities in the context of chronic pain.

METHODS

Randomized controlled trials (N>20 per arm) that investigated interventions for adults with chronic pain, delivered via an eHealth modality, were included. Included studies were categorized into their primary node of delivery. Data were extracted on the primary outcome, pain interference, and secondary outcomes, pain severity, psychological distress, and health-related quality of life. Pairwise meta-analyses were undertaken where possible, and an NMA was conducted to generate indirect comparisons and rankings of modalities for reducing pain interference.

RESULTS

The search returned 18,470 studies with 18,349 being excluded (duplicates=2310; title and abstract=16,039). Of the remaining papers, 30 studies with 5394 randomized participants were included in the review. Rankings tentatively indicated that modern eHealth modalities are the most effective, with a 43% chance that mobile apps delivered the most effective interventions, followed by a 34% chance that interventions delivered via virtual reality were the most effective.

CONCLUSIONS

This systematic review with an NMA generated comparisons between eHealth modalities previously not compared to determine which delivered the most effective interventions for the reduction of pain interference in chronic pain patients. There are limitations with this review, in particular, the underrepresented nature of some eHealth modalities included in the analysis. However, in the event that the review is regularly updated, a clear ranking of eHealth modalities for the reduction of pain interference will emerge.

Investigating the effectiveness of an online acceptance and commitment therapy (ACT) intervention versus a waiting list control condition on pain interference and quality of life in adults with chronic pain and multimorbidity: protocol for a randomised controlled trial

INTRODUCTION

Multimorbidity refers to the presence of two or more chronic health conditions within one person, where no one condition is primary. Research suggests that multimorbidity is highly correlated with chronic pain, which is pain lasting longer than 3 months. Psychotherapeutic interventions for people living with chronic illness have resulted in reduced symptom reporting and improved psychological well-being. There is a dearth of research, however, using online psychotherapy for people living with multimorbidity where chronic pain is a central condition. This study will compare the effectiveness of an online acceptance and commitment therapy (ACT) intervention with a waiting list control condition in terms of improving health-related quality of life (HRQoL) and reducing levels of pain interference in people with chronic pain and at least one other condition.

METHODS AND ANALYSIS

192 adult participants with non-malignant pain that persists for at least 3 months and at least one other medically diagnosed condition will be randomised to one of two study conditions. The experimental group will undergo an eight-session internet-delivered ACT programme over an 8-week period. A waiting list group will be offered the ACT intervention after the 3-month follow-up period. HRQoL and pain interference will act as the primary outcomes. Data will be analysed using a linear mixed model and adjusted to account for demographic and clinical variables as necessary. A Study Within a Trial will be incorporated to examine the effect on recruitment and retention of showing participants an animated educational video.

ETHICS AND DISSEMINATION

Ethical approval has been granted by the Research Ethics Committee of the National University of Ireland, Galway. Dissemination of results will be via peer reviewed journal articles and conference presentations.

TRIAL REGISTRATION NUMBER

ISRCTN22343024.

Availability of researcher-led eHealth tools for pain assessment and management: barriers, facilitators, costs, and design

INTRODUCTION

Numerous eHealth tools for pain assessment and management have been developed and evaluated with promising results regarding psychometric properties, efficacy, and effectiveness. Although considerable resources are spent on developing and evaluating these tools with the aim of increasing access to care, current evidence suggests they are not made available to end users, reducing their impact and creating potential research waste.

METHODS

This study consisted of 2 components: (1) a systematic review of eHealth tools for pediatric pain assessment and/or management published in the past 10 years, and (2) an online survey, completed by the authors of identified tools, of tool availability, perceived barriers or facilitators to availability, grant funding used, and a validated measure of user-centeredness of the design process (UCD-11).

RESULTS

Ninety articles (0.86% of citations screened) describing 53 tools met inclusion criteria. Twenty-six survey responses were completed (49.06%), 13 of which (50.00%) described available tools. Commonly endorsed facilitators of tool availability included researchers' beliefs in tool benefits to the target population and research community; barriers included lack of infrastructure and time. The average cost of each unavailable tool was $314,425.31 USD ($3,144,253.06 USD total, n = 10). Authors of available tools were more likely to have followed user-centered design principles and reported higher total funding.

CONCLUSION

Systemic changes to academic and funding structures could better support eHealth tool availability and may reduce potential for research waste. User-centered design and implementation science methods could improve the availability of eHealth tools and should be further explored in future studies.

The Pain Course: 12- and 24-Month Outcomes From a Randomized Controlled Trial of an Internet-Delivered Pain Management Program Provided With Different Levels of Clinician Support

Little is known about the long-term outcomes of emerging Internet-delivered pain management programs. The current study reports the 12- and 24-month follow-up data from a randomized controlled trial (n = 490) of an Internet-delivered pain management program, the Pain Course. The initial results of the trial to the 3-month follow-up have been reported elsewhere. There were significant improvements in disability, depression, anxiety, and pain levels across 3 treatment groups receiving different levels of clinician support compared with a treatment as the usual control. No marked or significant differences were found between the treatment groups either after treatment or at the 3-month follow-up. The current study obtained long-term follow-up data from 78% and 79% of participants (n = 397) at the 12-month and 24-month follow-up marks, respectively. Clinically significant decreases (average percent reduction; Cohen's d effect sizes) were maintained at the 12- and 24-month follow-ups for disability (average reduction ≥27%; d ≥ .67), depression (average reduction ≥36%; d ≥ .80), anxiety (average reduction ≥38%; d ≥ .66), and average pain levels (average reduction ≥21%; d ≥ .67). No marked or consistent differences were found among the 3 treatment groups. These findings suggest that the outcomes of Internet-delivered programs may be maintained over the long term. PERSPECTIVE: This article presents the long-term outcome data of an established Internet-delivered pain management program for adults with chronic pain. The clinical improvements observed during the program were found to be maintained at the 12- and 24-month follow-up marks. This finding indicates that these programs can have lasting clinical effects.

Exploring psychological mechanisms of clinical response to an internet-delivered psychological pain management program

BACKGROUND

The evidence for Internet-delivered pain management programs for chronic pain is growing, but there is little empirical understanding of how they effect change. Understanding mechanisms of clinical response to these programs could inform their effective development and delivery.

METHODS

A large sample (n = 396) from a previous randomized controlled trial of a validated internet-delivered psychological pain management program, the Pain Course, was used to examine the influence of three potential psychological mechanisms (pain acceptance, pain self-efficacy, fear of movement/re-injury) on treatment-related change in disability, depression, anxiety and average pain. Analyses involved generalized estimating equation models for clinical outcomes that adjusted for co-occurring change in psychological variables. This was paired with cross-lagged analysis to assess for evidence of causality. Analyses involved two time points, pre-treatment and post-treatment.

RESULTS

Changes in pain-acceptance were strongly associated with changes in three (depression, anxiety and average pain) of the four clinical outcomes. Changes in self-efficacy were also strongly associated with two (anxiety and average pain) clinical outcomes. These findings suggest that participants were unlikely to improve in these clinical outcomes without also experiencing increases in their pain self-efficacy and pain acceptance. However, there was no clear evidence from cross-lagged analyses to currently support these psychological variables as direct mechanisms of clinical improvements. There was only statistical evidence to suggest higher levels of self-efficacy moderated improvements in depression.

CONCLUSIONS

The findings suggest that, while clinical improvements are closely associated with improvements in pain acceptance and self-efficacy, these psychological variables may not drive the treatment effects observed.

SIGNIFICANCE

This study employed robust statistical techniques to assess the psychological mechanisms of an established internet-delivered pain management program. While clinical improvements (e.g. depression, anxiety, pain) were closely associated with improvements in psychological variables (e.g. pain self-efficacy and pain acceptance), these variables do not appear to be treatment mechanisms.

Usability testing of an electronic pain monitoring system for palliative cancer patients: A think-aloud study

Pain experienced by advanced cancer patients is often poorly controlled due to inadequate assessment. We aimed to test an electronic pain monitoring system (PainCheck) with advanced cancer patients and health professionals. In all, 29 participants (13 patients and 16 health professionals (n = 16)) used PainCheck while thinking their thoughts aloud. After the think aloud, both groups were asked about their experiences. Think-aloud and semi-structured interview data were analysed using framework analysis. Both groups were generally positive about PainCheck and found it easy to understand but they had concerns about clinical integration. Their concerns related to impact on workload, how lack of response may affect patient care and ability to engage with and use the technology. PainCheck has the capacity to be useful in clinical practice. For integration to be successful, patients and health professionals need guidance on how to use PainCheck and the expectations of users need to be clarified.

Understanding patient requirements for technology systems that support pain management in palliative care services: A qualitative study

Approaches to pain management using electronic systems are being developed for use in palliative care. This article explores palliative care patients' perspectives on managing and talking about pain, the role of technology in their lives and how technology could support pain management. Face-to-face interviews were used to understand patient needs and concerns to inform how electronic systems are developed. A total of 13 interviews took place with a convenience sample of community-based patients with advanced cancer receiving palliative care through a hospice. Data were analysed using framework analysis. Four meta-themes emerged: Technology could be part of my care; I'm trying to understand what is going on; My pain is ever-changing and difficult to control; and I'm selective about who to tell about pain. Patients described technology as peripheral to existing processes of care. To be relevant, systems may need to take account of the complexity of a patient's pain experience alongside existing relationships with health professionals.