Performance evaluation of the essential dimensions of the primary health care services in six localities of Bogota–Colombia: a cross-sectional study
Bibliographic record
Abstract
BACKGROUND: The high segmentation and fragmentation in the provision of services are some of the main problems of the Colombian health system. In 2004 the district government of Bogota decided to implement a Primary Health Care (PHC) strategy through the Home Health program. PHC was conceived as a model for transforming health care delivery within the network of the first-level public health care facilities. This study aims to evaluate the performance of the essential dimensions of the PHC strategy in six localities geographically distributed throughout Bogotá city. METHODS: The rapid assessment tool to measure PHC performance, validated in Brazil, was applied. The perception of participants (users, professionals, health managers) in public health facilities where the Home Health program was implemented was compared with the perception of participants in private health facilities not implementing the program. A global performance index and specific indices for each primary care dimension were calculated. A multivariate logistic regression analysis was conducted to determine possible associations between the performance of the PHC dimensions and the self-perceived health status of users. RESULTS: The global performance index was rated as good for all participants interviewed. In general, with the exception of professionals, the differences in most of the essential dimensions seemed to favor public health care facilities where the Home Health program was implemented. The weakest dimensions were the family focus and community orientation--rated as critical by users; the distribution of financial resources--rated as critical by health managers; and, accessibility--rated as intermediate by users. CONCLUSIONS: The overall findings suggest that the Home Health program could be improving the performance of the network of the first-level public health care facilities in some PHC essential dimensions, but significant efforts to achieve its objectives and raise its visibility in the community are required.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".