Development, evaluation and implementation of a digital behavioural health treatment for chronic pain: study protocol of the multiphase DAHLIA project

Is personalization of psychological pain treatments necessary? Evidence from a Bayesian variance ratio meta-analysis

ABSTRACT

This is the first study to empirically determine the potential for data-driven personalization in the context of chronic primary pain (CPP). Effect sizes of psychological treatments for individuals with CPP are small to moderate on average. Aiming for better treatment outcomes for the individual patient, the call to personalize CPP treatment increased over time. However, empirical evidence that personalization of psychological treatments can optimize treatment outcomes in CPP is needed. This study seeks to estimate heterogeneity of treatment effect for cognitive behavioral therapy (CBT) as the psychological treatment approach for CPP with the greatest evidence base. For this purpose, a Bayesian variance ratio meta-regression is conducted using updated data from 2 recently published meta-analyses with randomized controlled trials comparing CBT delivered face-to-face to treatment-as-usual or waiting list controls. Heterogeneity in patients with CPP would be reflected by a larger overall variance in the post-treatment score compared with the control group. We found first evidence for an individual treatment effect in CBT compared with the control group. The estimate for the intercept was 0.06, indicating a 6% higher variance of end point values in the intervention groups. However, this result warrants careful consideration. Further research is needed to shed light on the heterogeneity of psychological treatment studies and thus to uncover the full potential of data-driven personalized psychotherapy for patients with CPP.A Bayesian variance ratio meta-regression indicates empirical evidence that data-driven personalized psychotherapy for patients with chronic primary pain could increase effects of cognitive behavioral therapy.

How to personalise cognitive-behavioural therapy for chronic primary pain using network analysis: study protocol for a single-case experimental design with multiple baselines

INTRODUCTION

Cognitive-behavioural therapy (CBT) is an effective treatment for chronic primary pain (CPP), but effect sizes are small to moderate. Process orientation, personalisation, and data-driven clinical decision-making might address the heterogeneity among persons with CPP and are thus promising pathways to enhance the effectiveness of CBT for CPP. This study protocol describes one approach to personalise CBT for CPP using network analysis.

METHODS AND ANALYSIS

A single-case experimental design with multiple baselines will be combined with ecological momentary assessment (EMA). Feasibility and acceptance of the study procedure will be demonstrated on a sample of n=12 adults with CPP in an outpatient clinic. In phase A, participants complete 21 days of EMA, followed by the standard diagnostic phase of routine clinical care (phase B). Person-specific, process-based networks are estimated based on EMA data. Treatment targets are selected using mean ratings, strength and out-strength centrality. After a second, randomised baseline (phase A'), participants will receive 1 out of 10 CBT interventions, selected by an algorithm matching targets to interventions, in up to 10 sessions (phase C). Finally, another EMA phase of 21 days will be completed to estimate a post-therapy network. Tau-U and Hedges' g are used to indicate individual treatment effects. Additionally, conventional pain disability measures (Pain Disability Index and the adapted Quebec Back Pain Disability Scale) are assessed prior, post, and 3 months after phase C.

ETHICS AND DISSEMINATION

Ethical considerations were made with regard to the assessment-induced burden on the participants. This proof-of-concept study may guide future studies aiming at personalisation of CBT for CPP as it outlines methodological decisions that need to be considered step by step. The project was approved by the local ethics committee of the psychology department of University Kaiserslautern-Landau (#LEK-457). Participants gave their written informed consent prior to any data assessment and app installation. The results of the project will be published, presented at congresses, and relevant data will be made openly accessible via the Open Science Framework (OSF).

TRIAL REGISTRATION NUMBER

NCT06179784.

Biopsychosocial rehabilitation therapy in small fiber neuropathy: research protocol to study the effect of rehabilitation treatment

Background

Small fiber neuropathy (SFN) is a chronic neuropathic pain condition that can lead to a decreased quality of life (QOL) and disability. Current pain treatment is mainly symptomatic, consisting of analgesics, with often disappointing results. There is a need for new, more effective treatment modality. Treatment based on a biopsychosocial approach on SFN-related pain may be a promising alternative. A rehabilitation treatment study protocol is presented with the following main objective: to test the effect of a tailored interdisciplinary rehabilitation treatment targeting both cognitive and psychological factors related to pain, in decreasing disability, and improving QOL in SFN.

Methods

Single-case experimental design. Ten participants with SFN will be included. Every patient will be offered a personalized program based on one of three rehabilitation treatment modules (graded activity, exposure in vivo or acceptance and commitment therapy) depending on the most prominent factor maintaining disability. Treatment will be provided for at least 8 weeks with 2 sessions a week.

Discussion/conclusion

This is the first study investigating personalized rehabilitation treatment in patients with idiopathic SFN. The findings are expected to result in an effective treatment for SFN with an increase in QOL and a decrease in disability.

Clinical trial registration

ClinicalTrials.gov, identifier NCT05798949.

Leveraging Single-Case Experimental Designs to Promote Personalized Psychological Treatment: Step-by-Step Implementation Protocol with Stakeholder Involvement of an Outpatient Clinic for Personalized Psychotherapy

Our objective is to implement a single-case experimental design (SCED) infrastructure in combination with experience-sampling methods (ESM) into the standard diagnostic procedure of a German outpatient research and training clinic. Building on the idea of routine outcome monitoring, the SCED infrastructure introduces intensive longitudinal data collection, individual effectiveness measures, and the opportunity for systematic manipulation to push personalization efforts further. It aims to empower psychotherapists and patients to evaluate their own treatment (idiographic perspective) and to enable researchers to analyze open questions of personalized psychotherapy (nomothetic perspective). Organized around the principles of agile research, we plan to develop, implement, and evaluate the SCED infrastructure in six successive studies with continuous stakeholder involvement: In the project development phase, the business model for the SCED infrastructure is developed that describes its vision in consideration of the context (Study 1). Also, the infrastructure's prototype is specified, encompassing the SCED procedure, ESM protocol, and ESM survey (Study 2 and 3). During the optimization phase, feasibility and acceptability are tested and the infrastructure is adapted accordingly (Study 4). The evaluation phase includes a pilot implementation study to assess implementation outcomes (Study 5), followed by actual implementation using a within-institution A-B design (Study 6). The sustainability phase involves continuous monitoring and improvement. We discuss to what extent the generated data could be used to address current questions of personalized psychotherapy research. Anticipated barriers and limitations during the implementation processes are outlined.

A digital health intervention to support patients with chronic pain during prescription opioid tapering: a pilot randomised controlled trial

Introduction

Recent changes in opioid prescribing guidelines have led to an increasing number of patients with chronic pain being recommended to taper. However, opioid tapering can be challenging, and many patients require support.

Objectives

We evaluated the feasibility, acceptability, and potential efficacy of a codesigned digital health intervention to support patients with chronic pain during voluntary prescription opioid tapering.

Methods

In a pilot randomised controlled trial, participants received a psychoeducational video and 28 days of text messages (2 SMS/day) in addition to their usual care (intervention) or usual care alone (control). The feasibility, acceptability, and potential efficacy of the intervention were evaluated. The primary outcome was opioid tapering self-efficacy. Secondary outcomes were pain intensity and interference, anxiety and depression symptom severity, pain catastrophising, and pain self-efficacy.

Results

Of 28 randomised participants, 26 completed the study (13 per group). Text message delivery was high (99.2%), but fidelity of video delivery was low (57.1%). Most participants rated the messages as useful, supportive, encouraging, and engaging; 78.5% would recommend the intervention to others; and 64.2% desired a longer intervention period. Tapering self-efficacy (Cohen d = 0.74) and pain self-efficacy (d = 0.41) were higher, and pain intensity (d = 0.65) and affective interference (d = 0.45) were lower in the intervention group at week 4.

Conclusion

First evidence supports the feasibility, acceptability, and potentially efficacy of a psychoeducational video and SMS text messaging intervention to support patients with chronic pain during voluntary prescription opioid tapering. Definitive trials with longer intervention duration are warranted.

From research to routine care: A historical review of internet-based cognitive behavioral therapy for adult mental health problems in Sweden

This narrative historical review examines the development of internet-based cognitive behavioral therapy (ICBT) in Sweden, describing its progression within both academic and routine care settings. The review encompasses key publications, significant scientific findings, and contextual factors in real-world settings. Over 25 years ago, Sweden emerged as a pioneering force in internet-delivered treatment research for mental health. Since then, Swedish universities, in collaboration with research partners, have produced substantial research demonstrating the efficacy of ICBT across various psychological problems, including social anxiety disorder, panic disorder, generalized anxiety disorder, and depression. Although research conducted in clinical settings has been less frequent than in academic contexts, it has confirmed the effectiveness of therapist-supported ICBT programs for mild-to-moderate mental health problems in routine care. Early on, ICBT was provided as an option for patients at both the primary care level and in specialized clinics, using treatment programs developed by both public and private providers. The development of a national platform for delivering internet-based treatment and the use of procurement in selecting ICBT programs and providers are factors that have shaped the current routine care landscape. However, gaps persist in understanding how to optimize the integration of digital treatment in routine care, warranting further research and the use of specific implementation frameworks and outcomes. This historical perspective on the research and delivery of ICBT in Sweden over two decades offers insights for the international community into the development and broad dissemination of a specific digital mental health intervention within a national context.

Feedback based on experience sampling data: Examples of current approaches and considerations for future research

Methodologies such as the Experience Sampling Method (ESM) or Ecological Momentary Assessment allow the gathering of fine-graded, dynamic, personal data within a patient's daily life. Currently, it is studied whether feedback based on experience sampling data (ESM-based feedback) can be used as a clinical tool to inform shared decision-making in clinical practice. Although the potential of feedback is recognized, little is known on how to generate, use, and implement it. This article (i) presents n = 15 ongoing ESM projects within the Belgian-Dutch network for ESM research wherein ESM-based feedback is provided to various patient populations, and (ii) summarizes qualitative data on experiences with ESM-based feedback of researchers (n = 8) with extensive expertise with ESM (average of 10 years) involved in these ongoing studies. The following aspects appear to be of relevance when providing ESM-based feedback: training for healthcare professionals and researchers, the use of online interfaces and graphical visualizations to present data, and interacting with patients in a face-to-face setting when discussing the contextual relevance and potential implications. Prospectively, research may build on these aspects and create coherent consensus-based guidelines for the use of ESM-based feedback.

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.