Evaluating the concept of access as a critical dimension of universal health coverage in the context of rural communities of Western Province, Zambia
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
The concept of access is critical for the operationalization of universal health coverage (UHC), which is especially relevant in rural and remote communities of lower-income countries (LICs) to lower-middle-income counties (LMICs) where high-priority health needs are in great demand. The objective of the present study was to empirically evaluate the concept of access in one such context. To gain insights on the health systems approach to the concept of access, a cross-sectional study design using a health facility questionnaire was conducted in eleven study districts of Western Province, Zambia. Additional variables were extracted from the Zambia Master Facility List. Using a combination of descriptive statistics, geospatial analysis, and modelling, we evaluated population growth, health facilities (n = 220), travel time, and highly qualified personnel (HQP). Our projections indicate a 48.59 % decline in total health facilities per 10,000 population by 2032, suggesting demand is outpacing supply. Estimated average walk times from a central business district to a health facility ranged from 6.64 to 13.9 h. Analysis of HQP revealed that Community Health Workers and nurses were the most common providers, with only two doctors available across the study districts. We summarized numerous concept of access frameworks into three distinct approaches in the context of space and time. The health systems approach was the most comprehensive, and findings from our study underscore the importance of crucial explanatory variables that may be used to empirically measure health service utilization as a critical dimension of UHC.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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