Evidence map›Paper›PMID 36115976›Full record

ArticleBMC health services research2022

Rehabilitation workforce descriptors: a scoping review.

Thandi Conradie, Karina Berner, Quinette Louw

Abstract readScoping Review
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Practical insights for enhancing primary care rehabilitation services in low-resource contexts.African journal of primary health care & family medicine · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. The rehabilitation workforce in Brazil.Archives of public health = Archives belges de sante publique · 2024
    Article
  8. Article
  9. Rehabilitation Capacity in South Africa-A Situational Analysis.International journal of environmental research and public health · 2023
    Article
  10. 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

3 authors.

Thandi ConradieDepartment of Health and Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. thandic@sun.ac.za.
Karina BernerDepartment of Health and Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Quinette LouwDepartment of Health and Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.

Funding

South African Research Chair Initiative, National Research Foundation 115461
6 · The paper itself

Abstract

backgroundA comprehensive, accurate description of workforce capacity is important for health service planning, to ensure that health services meet local needs. In many low- to middle-income countries, the government's service planning ability is barred by the lack of accurate and/or comprehensively-described workforce data. In these low-resource settings, lack of appropriate planning leads to limited or no access to rehabilitation services. Variability in the definitions and scope of rehabilitation professionals further complicates the understanding of rehabilitation services and how it should be planned and delivered. Another challenge to describing the primary rehabilitation workforce capacity, is the lack of standardised and agreed-upon global metrics. These inconsistencies highlight the need for a comprehensive understanding of current practices, which can offer guidance to countries wishing to describe their rehabilitation workforce. This study aimed to scope the range of descriptors and metrics used to describe the rehabilitation workforce and to compare the workforce across countries that used similar descriptors in published reports.

methodsA scoping review was conducted according to the five-step framework first developed by Arksey and O'Malley. The review included a broad search of literature regarding the rehabilitation workforce and how countries quantify and describe the rehabilitation workforce.

resultsNineteen studies on rehabilitation workforce capacity were identified. All but one (a cross-sectional study) were database reviews. The main descriptors and indicators used to describe the rehabilitation workforce capacity were profession type, age, gender, distributions between urban/rural, level of care, and private/public sectors, absolute count totals, and population-adjusted ratios.

conclusionThis scoping review provided an overview of descriptors and indicators used to describe the rehabilitation workforce capacity internationally. The study is a first step towards developing standardised descriptors and metrics to quantify the rehabilitation workforce capacity, that will allow for comparison between different settings.

trial registrationThis scoping review protocol has been registered with the Open Science Framework (http://osf.10/7h6xz).

Indexed as

Rural PopulationCross-Sectional StudiesHumansWorkforceDescriptorsIndicatorsRehabilitationSupplyWorkforce

Identifiers

PMID36115976
PMCPMC9482289

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.