Early experiences integrating hypertension and diabetes screening and treatment in a human immunodeficiency virus clinic in Malawi
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Human immunodeficiency virus (HIV) programmes can be leveraged to manage the growing burden of non-communicable diseases (NCDs). Methods: In October 2015, a model of integrated HIV-NCD care was developed at a large HIV clinic in southeast Malawi. Blood pressure was measured in adults at every visit and random blood glucose was determined every 2 y. Uncomplicated antiretroviral therapy (ART)-only care was provided by nurses, integrated HIV-NCD management was provided by clinical officers. Waiting times were assessed using the electronic medical record system. The team met monthly to identify bottlenecks. Results: All (n=6036) adult HIV patients were screened and 765 were diagnosed with hypertension (prevalence 12.7% [95% confidence interval {CI} 11.9-13.5). A total of 2979 adult HIV patients were screened and 25 were diagnosed with diabetes mellitus (prevalence 0.8% [95% CI 0.6-1.2]). The mean duration of ART visits by clinical officers increased from 80.5 to 90 min during the first quarter following HIV-NCD integration but returned to 75 min the following quarter. The mean number of patients seen per day by clinical officers increased from 6 to 11 and for nurses decreased from 92 to 82 in that time period. The robust vertical HIV system made the design of integrated tools demanding. Challenges of integrated HIV-NCD care were related to patient flow, waiting times, NCD drug availability, data collection, clinic workload and the timing of diabetes and hypertension screening. Conclusions: Integrated HIV-NCD services provision was feasible in our clinic.
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.
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 | 0.000 | 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 it