Successes and challenges of speech language therapy service provision in Western Kenya: Three case studies
Bibliographic record
Abstract
BACKGROUND: The need for communication-related services in sub-Saharan Africa to support individuals experiencing communication disability is a longstanding and well-documented situation. We posit the inequities highlighted by coronavirus disease 2019 (COVID-19) make this a relevant time for speech language therapists and the professional bodies that govern us to broadly consider our roles and practices in education, health and disability in local, national and global contexts. OBJECTIVE: To illustrate what services developed with local knowledge can look like in Kenya in order to promote dialogue around alternative speech language therapy models, particularly in contexts where there are insufficient services, few trained speech language therapists and limited structures to support the emerging profession. METHOD: This article examines three clinical case studies from Western Kenya, using a conceptual framework for responsive global engagement. RESULTS: Service needs in Western Kenya well exceed a direct one-on-one model of care that is common in the minority world. The service delivery models described here emphasise training, skills sharing and engaging the myriad of communication partners available to individuals with communication disabilities. CONCLUSION: We offer up these case studies of collaborative practice as contextual realities that may be present in any speech language therapy programming in under-resourced communities. We dispel the idea that success in this work has been linear, progressed on planned time frames or come to fruition with targeted goal attainment. The fact that our relationships have endured in these communities since 2007 is our primary success.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".