Hospital care in Iran: an examination of national health system performance
Bibliographic record
Abstract
This study examines hospital care system performance in Iran. We first briefly review hospital care delivery system in Iran. Then, the hospital care system in Iran has been investigated from financial, utilization, and quality perspectives. In particular, we examined the extent to which health care system in Iran protects people from the financial consequence of health care expenses and whether inpatient care distributed according to need. We also empirically analyzed the quality of hospital care in Iran using patient satisfaction information collected in a national health service survey. The Iranian health care system consists of unequal access to hospital care; mismatch between the distribution of services and inpatients' need; and high probability of financial catastrophe due to out-of-pocket payments for inpatient services. Our analysis indicates that the quality of hospital care among Iranian provinces favors patients residing in provinces with high numbers of hospital beds per capita such as Esfahan and Yazd. Patients living in provinces with low levels of accessibility to hospital care (e.g. Gilan, Kermanshah, Hamadan, Chahar Mahall and Bakhtiari, Khuzestan, and Sistan and Baluchestan) receive lower-quality services. These findings suggest that policymakers in Iran should work on several fronts including utilization, financing, and service quality to improve hospital care.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".