Case identification, retention and blood pressure control in Kenya
Bibliographic record
Abstract
BACKGROUND: Prevalence of hypertension in Africa is rising but it remains underdiagnosed and poorly controlled. In Kenya, only 22% of individuals known to have hypertension were on treatment, and only 51.7% were controlled. This study will assess screening outcomes, retention and blood pressure (BP) control of a hypertension programme in Kenya. DESIGN: This was a retrospective cohort study using data routinely collected between 2015 and 2018. All patients aged >18 years screened and treated in the programme were included. RESULTS: Of 663,028 screening encounters, 70.4% were female; the median age was 34 years. Overall, 19% of the study population, mainly males and older persons, had high BP higher rates. Of 66,981 patients started on treatment, the majority were females (71.2%); the median age was 55 years. Only 12% of patients were reported as having been retained after 12 months, and 48.6% of patients on treatment 10.5-13.5 months after enrolment had controlled BP. Older age and treatment at primary care level were associated with better retention and females had better BP control. CONCLUSIONS: The programme screened primarily females and younger individuals at lower risk. Retention was poor and close to half of patients retained had controlled BP. Hypertension programmes should target high-risk individuals, decentralise treatment, incorporate retention strategies and improve longitudinal data management.
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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 | 0.000 |
| 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 | 0.000 |
| 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".