Applicability of the world health organization's healthcare system framework: A consensus development study in Libya
Bibliographic record
Abstract
Introduction: The World Health Organization (WHO) Health Systems Framework (HSF) with its 6 building blocks is a widely accepted tool for accurate evaluation of health systems. However, its role in the developing world has not been widely assessed yet. Methods: Six Questionnaires with 5-point Likert-scale were designed and distributed to all the attendees of Libya Health 500 (LH500) Conference, and collected just before the group discussion of Libyan health system's session. Results: There were high levels of agreement of the respondents to the questionnaires items about the 6 building blocks. The application of evidencebased medicine and equal provision of health service to all, received the highest levels of agreement. Most of the attendees agreed that health services should be paid by the health insurance system, as it has many advantages, including the peace of mind for the public. The fairness and efficiency of the workforce and the establishment of regulatory mechanisms to address the needs of the health workforce had a high level of agreement. Moreover, a functioning health technology requires an effective supply and distribution system of technology elements. The participants agreed that health information technology is important to improve healthcare services and to prevent financial and administrative corruptions. Conclusion: It is feasible to adapt the WHO-HSF to identify the needs and ways to enhance health systems in the developing world. The Libyan healthcare providers were fully aware and committed to the need for the applicability of the WHOHSF to the National Health Service in Libya.
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.
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 | 0.153 | 0.076 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".