ArticleSystematic reviews2026
Efficacy of digital health technologies in patients with chronic pain: a protocol for a systematic review and meta-analysis.
Article in Systematic reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Personalized Prediction of Acute and Chronic Postsurgical Pain - the role of Multidomain Biosignatures, Machine Learning-Based Integration, and Standardized Outcome Definitions.Current pain and headache reports · 2026Review
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Authors and funding
7 authors.
Funding
Abstract
backgroundChronic pain is a prevalent condition that severely impacts patients' quality of life and poses a substantial burden on global healthcare systems. Digital health technologies (DHTs) have emerged as a potential solution for chronic pain management by improving accessibility, self-management, and personalized care. However, existing studies report inconsistent results regarding the efficacy of these technologies, and no clear consensus has been reached on their clinical effectiveness and safety. Given the current uncertainty in the evidence, this study aims to comprehensively evaluate the therapeutic effects of digital health technologies in patients with chronic pain through a systematic review.
objectivesThis protocol for a systematic review and meta-analysis aims to evaluate the efficacy of digital health technologies in improving pain management, functional status, and mental health in patients with chronic pain.
methodsA systematic search will be conducted in PubMed, Web of Science, CINAHL, Cochrane Library, and Embase from inception to August 30, 2025. Individual randomized controlled trials (iRCTs) evaluating the efficacy of digital health interventions in patients with chronic pain will be included. The primary outcome is pain intensity, assessed using standardized tools such as the visual analog scale (VAS). Secondary outcomes include physical function, sleep quality, quality of life, and adverse events. Two researchers will independently perform study selection, data extraction, risk-of-bias assessment, and evidence quality evaluation. Data analysis will be conducted using RevMan 5.3 software. Meta-analysis will be performed if heterogeneity is low; otherwise, a qualitative synthesis will be provided. DISCUSSION: This study will be the first comprehensive systematic review evaluating digital health technologies for chronic pain management. The findings will provide evidence-based support for clinical practice and health policy formulation, promoting the standardized application of these technologies in pain management. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD420251061767.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.