Patient satisfaction and health system responsiveness among attendants to family health centres and units affiliated with universal health insurance in Port Said Governorate
Bibliographic record
Abstract
Manuscript Preparation, F -literature search, G -Funds CollectionBackground. in 2018, egypt underwent a health system reform programme, in which a universal health insurance system rolled out across the country beginning, with the Port-Said Governorate in July 2019.Objectives.this study was conducted to assess patient satisfaction and health system responsiveness among attendants to family health centres and units affiliated with universal health insurance in the Port Said Governorate, egypt.Material and methods.a descriptive cross-sectional study was conducted that included 156 patients who were seeking health care in family health centres and units affiliated with universal health insurance in the Port Said Governorate.a multi-clustering sampling technique was used.data was collected using an interviewer-administered questionnaire.Results.among the 156 patients who were enrolled in the current study, 54 were male (34.6%) and 102 were female (65.4%), with a mean age of 37.10 ± 15.22 years.regarding domains of health system responsiveness, about 73% of the attendants perceived the overall health system responsiveness as good regarding the domains of basic amenities, communication and confidentiality.on the other hand, three domains were perceived as poor, including autonomy, prompt attention and dignity (37.8%, 34% and 30.8%, respectively).Conclusions.it was found that more than two third of the attendants perceived the overall health system responsiveness as good.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".