Human resources for health (and rehabilitation): Six Rehab-Workforce Challenges for the century
Open accessAbstract
BACKGROUND: People with disabilities face challenges accessing basic rehabilitation health care. In 2006, the United Nations Convention on the Rights of Persons with Disabilities (CRPD) outlined the global necessity to meet the rehabilitation needs of people with disabilities, but this goal is often challenged by the undersupply and inequitable distribution of rehabilitation workers. While the aggregate study and monitoring of the physical rehabilitation workforce has been mostly ignored by researchers or policy-makers, this paper aims to present the 'challenges and opportunities' for guiding further long-term research and policies on developing the relatively neglected, highly heterogeneous physical rehabilitation workforce. METHODS: The challenges were identified through a two-phased investigation. Phase 1: critical review of the rehabilitation workforce literature, organized by the availability, accessibility, acceptability and quality (AAAQ) framework. Phase 2: integrate reviewed data into a SWOT framework to identify the strengths and opportunities to be maximized and the weaknesses and threats to be overcome. RESULTS: The critical review and SWOT analysis have identified the following global situation: (i) needs-based shortages and lack of access to rehabilitation workers, particularly in lower income countries and in rural/remote areas; (ii) deficiencies in the data sources and monitoring structures; and (iii) few exemplary innovations, of both national and international scope, that may help reduce supply-side shortages in underserved areas. DISCUSSION: Based on the results, we have prioritized the following 'Six Rehab-Workforce Challenges': (1) monitoring supply requirements: accounting for rehabilitation needs and demand; (2) supply data sources: the need for structural improvements; (3) ensuring the study of a whole rehabilitation workforce (i.e. not focused on single professions), including across service levels; (4) staffing underserved locations: the rising of education, attractiveness and tele-service; (5) adapt policy options to different contexts (e.g. rural vs urban), even within a country; and (6) develop international solutions, within an interdependent world. CONCLUSIONS: Concrete examples of feasible local, global and research action toward meeting the Six Rehab-Workforce Challenges are provided. Altogether, these may help advance a policy and research agenda for ensuring that an adequate rehabilitation workforce can meet the current and future rehabilitation health needs.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Access to timely interventions remains a challenge due to limitations in availability of physical therapists, physical mobility, transportation and/or costs.
“However, access to timely interventions remains a challenge, due to limitations in the availability of physical therapists, physical mobility, transportation and/or costs [24–27].”
From Telerehabilitation of acute musculoskeletal multi-disorders: prospective, single-arm, interventional study (2022) · cites this paper as [27]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 143 · Cited by 161
Research works printed but not linked: 1
- [52]Pittman P Frogner B Bass E Dunham C International recruitment of allied health professionals to the United States: piecing together the picture with imperfect data J Allied Health 2014 43 79 87 24925035
- Authors
- Jesus, T. S., Landry, M. D., Dussault, G., & Fronteira, I.
- Affiliations
- Ministry of Education (PT)
- Duke University (US)
- University of Lisbon (PT)
- Corresponding author
- Dussault, Gilles
- Venue
- Human Resources for Health
- Published
- 2017-01-23
- Volume
- 15
- Issue
- 1
- Pages
- 8-8
- ISSN
- 1478-4491 (ISSN-L)
- PMC
- PMC5259954
- OpenAlex
- W2580936757
- Cited by
- 161
- References
- 143
- Citations by year
- 2026: 18 · 2025: 21 · 2024: 34 · 2023: 17 · 2022: 19 · 2021: 19 · 2020: 11 · 2019: 13 · 2018: 8 · 2017: 1
- FWCI
- 2.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Human Resources for Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- Topics
- Health Sciences › Health Professions › Emergency Medical Services › Global Health Workforce Issues
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Medical Practices and Rehabilitation
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Health and Surgery
- Keywords
- rehabilitation workforce, physical rehabilitation, people with disabilities, workforce shortage, health workforce supply, workforce monitoring, rural and remote areas, telemedicine, workforce policy, Convention on the Rights of Persons with Disabilities
- MeSH terms
- Health Equity, Occupational Therapists, Workforce, Developing Countries, Persons with Disabilities, Disabled Persons, Health Personnel, Health Policy, Health Services Needs and Demand, Humans, International Cooperation, Medically Underserved Area, Poverty, Rural Population, Global Health, Rural Health Services, Policy, Physical Therapists, Health Services for Persons with Disabilities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review