Evidence map›Paper›PMID 37038146›Full record

ArticleBMC musculoskeletal disorders2023

Implementation of an online pain science education for chronic musculoskeletal pain in Brazilian public health system: protocol for a hybrid type III randomised controlled trial with economic evaluation.

Marina P Baroni, Luiz Hespanhol, Gisela C Miyamoto, Christiane R Daniel, Lívia G Fernandes, Felipe J J Dos Reis, Joshua W Pate, Bruno T Saragiotto

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMC musculoskeletal disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05302180 (Online Pain Education in Addition to Usual Care in Individuals With Chronic Musculoskeletal Pain), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

NCT05302180 naunknown statusnot on this map

Online Pain Education in Addition to Usual Care in Individuals With Chronic Musculoskeletal Pain: Protocol for a Hybrid Type III Randomized Controlled Trial.

TypeinterventionalSponsorUniversidade Cidade de Sao PauloRan2022 to 2025Enrolled249ConditionsChronic Pain, Musculoskeletal PainArmsPain neuroscience education, Usual care
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marina P BaroniPhysical Therapy, Universidade Cidade de São Paulo (UNICID), São Paulo, SP, Brazil. marinapegoraro@hotmail.com.ORCID http://orcid.org/0000-0003-0597-0690
Luiz HespanholPhysical Therapy, Universidade Cidade de São Paulo (UNICID), São Paulo, SP, Brazil.
Gisela C MiyamotoPhysical Therapy, Universidade Cidade de São Paulo (UNICID), São Paulo, SP, Brazil.
Christiane R DanielDepartment of Physical Therapy, Universidade Estadual Do Centro-Oeste (UNICENTRO), Alameda Élio Antonio Dalla Vecchia, 838, CEP 85040-167, Vila Carli, Guarapuava, PR, Brazil.
Lívia G FernandesPhysical Therapy, Universidade Cidade de São Paulo (UNICID), São Paulo, SP, Brazil.
Felipe J J Dos ReisDepartment of Physical Therapy, Instituto Federal Do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Joshua W PateDiscipline of Physiotherapy, Graduate School of Health, University of Technology Sydney, Sydney, Australia.
Bruno T SaragiottoPhysical Therapy, Universidade Cidade de São Paulo (UNICID), São Paulo, SP, Brazil.

Funding

Public Call 11/2020 - Research Programme for SUS: Health shared management - PPSUS Edition 2020/2021. Fundação Araucária-PR/ SESA-PR/ CNPq/ Decit/ SCTIE/MS 11/2020
6 · The paper itself

Abstract

backgroundAlthough clinical practice guidelines recommend pain education as the first-line option for the management of chronic musculoskeletal pain, there is a lack of pain education programmes in healthcare. Thus, digital health programmes can be an effective tool for implementing pain education strategies for public health. This trial will aim to analyse the implementation and effectiveness outcomes of three online pain science education strategies in the Brazilian public health system (SUS) for individuals with chronic musculoskeletal pain.

methodsWe will conduct a hybrid type III effectiveness-implementation randomised controlled trial with economic evaluation. We will include adult individuals with chronic musculoskeletal pain, recruited from primary healthcare in the city of Guarapuava, Brazil. Individuals will be randomised to three implementation groups receiving a pain science education intervention (EducaDor) but delivered in different modalities: group 1) synchronous online; group 2) asynchronous videos; and group 3) interactive e-book only. Implementation outcomes will include acceptability, appropriateness, feasibility, adoption, fidelity, penetration, sustainability, and costs. We will also assess effectiveness outcomes, such as pain, function, quality of life, sleep, self-efficacy, and adverse effects. Cost-effectiveness and cost-utility analyses will be conducted from the SUS and societal perspectives. The evaluations will be done at baseline, post-intervention (10 weeks), and 6 months. DISCUSSION: This study will develop and implement a collaborative intervention model involving primary healthcare professionals, secondary-level healthcare providers, and patients to enhance self-management of chronic pain. In addition to promoting better pain management, this study will also contribute to the field of implementation science in public health by generating important insights and recommendations for future interventions.

trial registrationClinicalTrials.gov (NCT05302180; 03/29/2022).

Indexed as

Chronic PainMusculoskeletal PainAdultBrazilCost-Benefit AnalysisHumansPublic HealthQuality of LifeRandomized Controlled Trials as TopicChronic painHealth educationImplementation sciencePrimary healthcarePublic healthTelehealth

Identifiers

PMID37038146
PMCPMC10088297

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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 OpenQuestion graph.