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Record W7117724916 · doi:10.1016/j.dialog.2025.100274

Institutional mechanisms excluding rehabilitation from medical education in Central Africa: A mixed-methods case study from Cameroon with implications for WHO regional strategy implementation

2025· article· en· W7117724916 on OpenAlexaff
Ibrahim Npochinto Moumeni, France Mourey, Faustin Atemkeng Tsatedem, Kossi Oyene, Yacouba Njankouo Mapoure

Bibliographic record

VenueDialogues in Health · 2025
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsFrancophone University Association
FundersMinistry of Higher EducationMinistère de l'Enseignement Supérieur, Republique du CamerounWorld Health OrganizationMinistry of Public Health, Qatar
KeywordsReferralRehabilitationPsychological interventionCurriculumHealth careResource (disambiguation)Public health

Abstract

fetched live from OpenAlex

Access to rehabilitation services in sub-Saharan Africa is severely limited, with the WHO reporting that more than 63 % of people in the region do not receive needed rehabilitation services. This study analyzes how the exclusion of rehabilitation from medical curricula in Cameroon affects care access and evaluates implications for implementing the WHO Regional Strategy to Strengthen Rehabilitation in Health Systems 2025–2035. We employed a sequential mixed-methods design comprising: (1) qualitative interviews with medical education leaders ( n = 12) from 7 medical schools, analyzed using reflexive thematic analysis; and (2) clinical observation of 847 consecutive rehabilitation consultations over 24 months at Bafoussam Regional Hospital, evaluating referral patterns, prescription quality, and geographic patient distribution. Additionally, we implemented and assessed a 4-h rehabilitation education module for final-year medical students ( n = 87) at the University of Dschang. Interviews revealed three mechanisms maintaining rehabilitation's exclusion from medical education: coercive (all 12 interviewees noted absence from accreditation requirements), normative (10/12 cited professional hierarchies that devalue rehabilitation), and mimetic (8/12 described uncritical curriculum replication from other schools). Analysis of 847 rehabilitation consultations showed that only 4.8 % of prescriptions included adequate clinical context; nearly half of patients (47 %) traveled over 100 km to access care. Physician specialty (OR = 3.7, 95 % CI: 2.1–6.4), recent graduation (OR = 1.9, 95 % CI: 1.1–3.2), and personal rehabilitation experience (OR = 4.3, 95 % CI: 2.5–7.6) predicted higher-quality referrals. The 4-h educational intervention at University of Dschang improved students' rehabilitation knowledge from 41.3 % to 78.7 % ( p < 0.001) and referral confidence from 23 % to 87 % (p < 0.001). The exclusion of rehabilitation from medical curricula in Cameroon is associated with widespread “Single Practitioner Syndrome”—a phenomenon where care becomes centralized around rare practitioners, creating systemic inefficiencies and access barriers. Even minimal educational interventions show potential for significant improvement in knowledge and referral practices. Implementation of the WHO Regional Strategy will require addressing these foundational educational barriers while acknowledging resource constraints in Central African health systems. • Medical curricula in Central Africa systematically exclude rehabilitation training. • Educational gaps create physicians unable to recognize rehabilitation indications. • 847 clinical observations document consequences: inappropriate referrals, therapeutic migration. • Minimal exposure (4 h) at University of Dschang generated significant student interest. • Curriculum integration represents cost-effective pathway for WHO Strategy implementation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.442
Teacher spread0.398 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2025
Admission routes1
Has abstractyes

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