Evidence map›Paper›PMID 36830831›Full record

ArticleBiomedicines2023

Researcher's Perspective on Musculoskeletal Conditions in Primary Care Physiotherapy Units through the International Classification of Functioning, Disability, and Health (ICF): A Scoping Review.

Héctor Hernández-Lázaro, María Teresa Mingo-Gómez, Sandra Jiménez-Del-Barrio, Silvia Lahuerta-Martín, Ignacio Hernando-Garijo, Ricardo Medrano-de-la-Fuente, Luis Ceballos-Laita

3 registry-linked trialsOpen access · goldAbstract readScoping Review
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 20% 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.

NCT04135976 completednot on this map

Applicability of the International Classification of Functioning, Disability and Health (ICF) in Primary Care Physiotherapy Units in the Health Service of Castille and Leon (Spain)

Typeobservational_patient_registrySponsorUniversity of ValladolidRan2020 to 2023Enrolled401ConditionsMusculoskeletal Diseases or Conditions
NCT06168721 completednot on this mapstarted 2024, after this paper: background citation

Development of an ICF Core Set for the Management of Musculoskeletal Conditions in Primary Care Physiotherapy Services

TypeobservationalSponsorUniversity of ValladolidRan2024 to 2025Enrolled46ConditionsMusculoskeletal DiseasesArmsExpert survey
NCT06326229 unknown statusnot on this mapstarted 2024, after this paper: background citation

Clinical Validation of the Content of an ICF Core Set for the Management of Musculoskeletal Conditions in Primary Care Physiotherapy Services

TypeobservationalSponsorUniversity of ValladolidRan2024 to 2025Enrolled385ConditionsMusculoskeletal DiseasesArmsICF entities assessment
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 at 1 institution in 1 country.

Héctor Hernández-LázaroFaculty of Health Sciences, University of Valladolid, 42004 Soria, Spain.ORCID 0000-0003-1301-2759
María Teresa Mingo-GómezFaculty of Health Sciences, University of Valladolid, 42004 Soria, Spain.ORCID 0000-0002-1985-2356
Sandra Jiménez-Del-BarrioFaculty of Health Sciences, University of Valladolid, 42004 Soria, Spain.ORCID 0000-0002-7460-3061
Silvia Lahuerta-MartínFaculty of Health Sciences, University of Valladolid, 42004 Soria, Spain.ORCID 0000-0003-1438-7384
Ignacio Hernando-GarijoFaculty of Health Sciences, University of Valladolid, 42004 Soria, Spain.ORCID 0000-0003-4440-6064
Ricardo Medrano-de-la-FuenteFaculty of Health Sciences, University of Valladolid, 42004 Soria, Spain.
Luis Ceballos-LaitaFaculty of Health Sciences, University of Valladolid, 42004 Soria, Spain.
Universidad de Valladolid · ES

Funding

Scientific Foundation of Caja Rural N/a
6 · The paper itself

Abstract

(1) Background: Musculoskeletal disorders are the second cause of disability in the world. The International Classification of Functioning Disability and Health (ICF) is a tool for systematically describing functioning. Outcome measures for musculoskeletal disorders and functioning concepts embedded in them have not been described under the ICF paradigm. The objective of this scoping review was to identify ICF categories representing the researcher's perspective and to compare them with the ICF core set for post-acute musculoskeletal conditions. (2) Methods: This review was conducted as follows: (a) literature search using MEDLINE/PubMed, CINAHL, Web of Science, and Scopus databases; (b) study selection applying inclusion criteria (PICOS): musculoskeletal conditions in primary care, application of physiotherapy as a treatment, outcome measures related to functioning, and experimental or observational studies conducted in Western countries during the last 10 years; (c) extraction of relevant concepts; (d) linkage to the ICF; (e) frequency analysis; and (f) comparison with the ICF core set. (3) Results: From 540 studies identified, a total of 51 were included, and 108 outcome measures were extracted. In the ICF linking process, 147 ICF categories were identified. Analysis of data showed that 84.2% of the categories in the ICF core set for post-acute musculoskeletal conditions can be covered by the outcome measures analyzed. Sixty-eight relevant additional ICF categories were identified. (4) Conclusion: Outcome measures analyzed partially represent the ICF core set taken as a reference. The identification of additional categories calls into question the applicability of this core set in primary care physiotherapy units.

Indexed as

ICFmusculoskeletal conditionsoutcome measuresphysiotherapyprimary care

Identifiers

PMID36830831
PMCPMC9953260
OpenAlexW4317931945

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.