Evidence map›Paper›PMID 40678457›Full record

ArticleMethodsX2025

eHealth interventions for chronic pain: Protocol for a systematic review and meta-analysis.

Rosario Caruso, Pier Mario Perrone, Karen Barros Parron Fernandes, Cristina Arrigoni, Arianna Magon, Gianluca Conte, Silvia Belloni, Silvana Castaldi

Abstract read
In one paragraph

Article in MethodsX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rosario CarusoDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy.
Pier Mario PerroneDepartment of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
Karen Barros Parron FernandesGraduate Program of Health Sciences (PPGCS), School of Medicine, Pontifical Catholic University of Parana (PUCPR), Curitiba, Brazil.
Cristina ArrigoniSchool of Medicine, Pontifical Catholic University of Parana (PUCPR), Londrina, Brazil.
Arianna MagonClinical Research Service, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Gianluca ConteClinical Research Service, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Silvia BelloniDepartment of Public Health, Experimental and Forensic Medicine, Section of Hygiene, University of Pavia, Pavia, Italy.
Silvana CastaldiDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic pain is a prevalent and costly condition that significantly impairs functional and emotional status as well as quality of life, representing a major cause of incapacity worldwide that requires long-term management strategies. eHealth interventions, including telemedicine, mobile health applications, and internet-based programs, have emerged as promising approaches to improve pain management by enhancing access to education, psychological support, and self-monitoring tools. However, the efficacy of these interventions remains unclear due to variability in study designs or intervention components, differences in pain conditions (e.g., somatic or neuropathic pain), and outcome measures. This systematic review and meta-analysis aims to synthesize the evidence on the efficacy of eHealth interventions for chronic non-cancer pain in adults, assessing their impact on pain severity, functional outcomes, quality of life, mental health, medication adherence, patient satisfaction, and cost-effectiveness. A network meta-analysis (NMA) will be conducted to compare different eHealth modalities and identify which features contribute most to positive outcomes. Statistical analyses will follow Cochrane guidelines, with the risk of bias and evidence certainty evaluated using the Cochrane RoB 2.0 tool and GRADE framework, respectively. The findings will provide valuable insights for clinicians, policymakers, and researchers, informing best practices for integrating digital health solutions into chronic pain management.•This systematic review and meta-analysis will assess the efficacy of eHealth interventions for chronic pain management.•A network meta-analysis will compare different digital health modalities to identify the most effective intervention components.•The study will evaluate clinical, functional, psychological, adherence, and cost-related outcomes, informing evidence-based practice and policy.

Indexed as

Chronic painDigital healthehealth interventionseHealth Interventions for Chronic PainMeta-analysisMobile healthNetwork meta-analysisPain managementSystematic reviewTelemedicine

Identifiers

PMID40678457
PMCPMC12270686

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.