Evidence map›Paper›PMID 37962085›Full record

SynthesisJMIR mHealth and uHealth2023

Efficacy of mHealth Interventions for Improving the Pain and Disability of Individuals With Chronic Low Back Pain: Systematic Review and Meta-Analysis.

Bruna de Melo Santana, Julia Raffin Moura, Aline Martins de Toledo, Thomaz Nogueira Burke, Livia Fernandes Probst, Fernanda Pasinato, Rodrigo Luiz Carregaro

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
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.

Bruna de Melo Santana *Graduate Program in Rehabilitation Sciences, School of Physical Therapy, University of Brasilia, Campus UnB Ceilândia, Brasilia, Brazil.ORCID 0000-0002-7004-0433
Julia Raffin Moura *Graduate Program in Rehabilitation Sciences, School of Physical Therapy, University of Brasilia, Campus UnB Ceilândia, Brasilia, Brazil.ORCID 0000-0002-1592-6004
Aline Martins de Toledo *Graduate Program in Rehabilitation Sciences, School of Physical Therapy, University of Brasilia, Campus UnB Ceilândia, Brasilia, Brazil.ORCID 0000-0002-0041-0750
Thomaz Nogueira Burke *School of Physical Therapy, Universidade Federal do Mato Grosso do Sul, Campo Grande, Brazil.ORCID 0000-0002-4872-2139
Livia Fernandes Probst *Unidade de Avaliação de Tecnologias em Saúde, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.ORCID 0000-0002-4696-0862
Fernanda Pasinato *Graduate Program in Rehabilitation Sciences, School of Physical Therapy, University of Brasilia, Campus UnB Ceilândia, Brasilia, Brazil.ORCID 0000-0002-1546-9579
Rodrigo Luiz Carregaro *Graduate Program in Rehabilitation Sciences, School of Physical Therapy, University of Brasilia, Campus UnB Ceilândia, Brasilia, Brazil.ORCID 0000-0002-2382-0787

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Low back pain is one of the main causes of disability worldwide. Individuals with chronic conditions have been widely affected by the COVID-19 pandemic. In this context, mobile health (mHealth) has become popular, mostly due to the widespread use of smartphones. Despite the considerable number of apps for low back pain available in app stores, the effectiveness of these technologies is not established, and there is a lack of evidence regarding the effectiveness of the isolated use of mobile apps in the self-management of low back pain. Objective: We summarized the evidence on the effectiveness of mHealth interventions on pain and disability for individuals with chronic low back pain. Methods: We conducted a systematic review and meta-analysis comparing mHealth to usual care or no intervention. The search terms used were related to low back pain and mHealth. Only randomized controlled trials were included. The primary outcomes were pain intensity and disability, and the secondary outcome was quality of life. Searches were carried out in the following databases, without date or language restriction: PubMed, Scopus, Embase, Physiotherapy Evidence Database (PEDro), the Cochrane Library, and OpenGrey, in addition to article references. The risk of bias was analyzed using the PEDro scale. Data were summarized descriptively and through meta-analysis (pain intensity and disability). In the meta-analysis, eligible studies were combined while considering clinical and methodological homogeneity. The certainty of evidence was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) criteria. Results: A total of 5 randomized controlled trials were included, totaling 894 participants (447 allocated to the mHealth group and 445 to the usual care group), and they had similar methodological structure and interventions. Follow-up ranged from 6 weeks to 12 months. The studies did not demonstrate significant differences for pain intensity (mean difference -0.86, 95% CI -2.29 to 0.58; P=.15) and disability (standardized mean difference -0.24, 95% CI -0.69 to 0.20; P=.14) when comparing mHealth and usual care. All studies showed biases, with emphasis on nonconcealed allocation and nonblinding of the outcome evaluator. The certainty of evidence was rated as low for the analyzed outcomes. Conclusions: mHealth alone was no more effective than usual care or no treatment in improving pain intensity and disability in individuals with low back pain. Due to the biases found and the low certainty of evidence, the evidence remains inconclusive, and future quality clinical trials are needed.

Indexed as

Low Back PainTelemedicineHumansPandemicsPhysical Therapy ModalitiesQuality of Lifeback painchronicchronic conditiondisabilityeffectivenessefficacymeta-analysismHealthmobile healthmobile technologypainphysiotherapyself-managementsystematic reviewtreatment

Identifiers

PMID37962085
PMCPMC10662677

What Socratic 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 Socratic graph.