Association between quality of family planning services and client's satisfaction level in maternal and child health centers in Port Said city
Bibliographic record
Abstract
Background : Improving quality of care has been a necessary goal for family planning programmes worldwide. Services should be convenient, accessible and acceptable to clients. In addition, it is essential to provide follow-up care to ensure continuity of services and an adequate logistics system to ensure continuity of supplies. Patient satisfaction is reportedly a useful measure to provide a direct indicator of quality in health care. Thus, it is needed to be measured frequently Aim: To assess the association between quality of family planning services and client's satisfaction level in maternal & child health centers in Port Said city. Subject and Methods : A cross sectional descriptive research design included two main convenient samples were recruited in the study through 5 months, the family planning nurses (20) and clients attending these centers (240). The study was carried out at ten family planning clinics in ten centers representing the five districts of Port Said. Results : Statistically significant difference correlation was found between quality of family planning counseling of nurses practice and their number of received training program, the mean percentage of the client ’ s (95.4%) were satisfied with family planning services. Conclusions : The number of received training program affects quality of family planning counseling of nurse ’ s practice, providers of the services and the provided services affect the client satisfaction.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".