Training Needs of Community-based Rehabilitation Workers for the Effective Implementation of CBR Programmes
Bibliographic record
Abstract
Purpose: This review investigates the training needs of Community-Based Rehabilitation (CBR) workers that would enable them to effectively facilitate CBR programmes. Emphasis was placed on identifying: (a) the skills that CBR workers require (b) the training currently available for them, and (c) the gaps in current training.Method: A scoping review was conducted using on-line database searches (Medline, Embase, Cinahl, PsycInfo, Global Health) for English articles from 2006 onwards. A combination of keywords related to CBR, personnel, and training were applied. Hand searches of reference lists and the DCID journal were also conducted. Grey literature related to training, from the World Health Organisation (WHO), CBR Regional Networks and organisations affiliated with CBR were included as secondary data. Thirty-three articles and thirty-five sources from the grey literature were included. Data was organised under the three objectives outlined above – i.e., required skills, available training and training gaps.Results: CBR workers represent a diverse group requiring a broad range of skills. A new cadre of mid-level workers is also necessary to effectively implement the CBR guidelines. There is currently no standardised training for CBR workers and training varies widely, depending on context. CBR workers require further training in various clinical, social, management, communication, and cultural competence skills across the spectrum of the CBR Matrix, and specifically in empowering persons with disabilities and facilitating community development. They also need to develop critical reasoning, creativity, and compassion.Conclusion: A standardised approach to training CBR workers would be beneficial to ensure basic standards and quality services, to allow meaningful comparison and evaluation across contexts, to recognise the role of mid-level CBR workers, and to strengthen the workforce. Further research is required to determine minimal competencies, define the roles of various CBR workers, and evaluate the effectiveness of training.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".