Evidence map›Paper›PMID 36066943›Full record

SynthesisJournal of medical Internet research2022

Digital Health Interventions for Musculoskeletal Pain Conditions: Systematic Review and Meta-analysis of Randomized Controlled Trials.

Pim Peter Valentijn, Liza Tymchenko, Teddy Jacobson, Jakob Kromann, Claus W Biermann, Mohamed Atef AlMoslemany, Rosa Ymkje Arends

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 7 pooled it
11.3field-weighted citation impact, top 1% of its field
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

46 citing papers in PubMed, 7 syntheses or guidelines pooled it, 72 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Pim Peter ValentijnEssenburgh Research & Consultancy, Essenburgh Group, Harderwijk, Netherlands.ORCID 0000-0002-9788-1275
Liza TymchenkoEssenburgh Research & Consultancy, Essenburgh Group, Harderwijk, Netherlands.ORCID 0000-0003-4877-4390
Teddy JacobsonNordic Netcare, Copenhagen, Denmark.ORCID 0000-0002-1814-0138
Jakob KromannNordic Netcare, Copenhagen, Denmark.ORCID 0000-0003-1701-3492
Claus W BiermannNordic Netcare, Copenhagen, Denmark.ORCID 0000-0001-8103-0794
Mohamed Atef AlMoslemanyFaculty of Medicine, Menoufia University, Menoufia, Egypt.ORCID 0000-0002-7525-2638
Rosa Ymkje ArendsEssenburgh Research & Consultancy, Essenburgh Group, Harderwijk, Netherlands.ORCID 0000-0002-7854-1371
Maastricht University · NLMenoufia University · EGUniversity of Applied Sciences Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health solutions can provide populations with musculoskeletal pain with high-reach, low-cost, easily accessible, and scalable patient education and self-management interventions that meet the time and resource restrictions.

objectiveThe main objective of this study was to determine the effectiveness of digital health interventions for people with musculoskeletal pain conditions (ie, low back pain, neck pain, shoulder pain, knee pain, elbow pain, ankle pain, and whiplash).

methodsA systematic review and meta-analysis was conducted. We searched PubMed and Cochrane Central Register of Controlled Trials (from 1974 to August 2021) and selected randomized controlled trials of digital health interventions in the target population of patients with musculoskeletal pain with a minimum follow-up of 1 month. A total of 2 researchers independently screened and extracted the data.

resultsA total of 56 eligible studies were included covering 9359 participants, with a mean follow-up of 25 (SD 15.48) weeks. In moderate-quality evidence, digital health interventions had a small effect on pain (standardized mean difference [SMD] 0.19, 95% CI 0.06-0.32), disability (SMD 0.14, 95% CI 0.03-0.25), quality of life (SMD 0.22, 95% CI 0.07-0.36), emotional functioning (SMD 0.24, 95% CI 0.12-0.35), and self-management (SMD 0.14, 95% CI 0.05-0.24).

conclusionsModerate-quality evidence supports the conclusion that digital health interventions are effective in reducing pain and improving functioning and self-management of musculoskeletal pain conditions. Low-quality evidence indicates that digital health interventions can improve the quality of life and global treatment. Little research has been conducted on the influence of digital health on expenses, knowledge, overall improvement, range of motion, muscle strength, and implementation fidelity.

trial registrationPROSPERO CRD42022307504; https://tinyurl.com/2cd25hus.

Indexed as

Low Back PainMusculoskeletal PainPersons with DisabilitiesHumansQuality of LifeRandomized Controlled Trials as Topicdigital healthdisabilityeHealthfunctionmHealthmobile healthmobile phonemodels of carepainquality of lifetelehealthtelemedicine

Identifiers

PMID36066943
PMCPMC9490534
OpenAlexW4294771565

What OpenQuestion holds

Textmetadata
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.