Family medicine model in Turkey: a qualitative assessment from the perspectives of primary care workers
Bibliographic record
Abstract
BACKGROUND: A person-list-based family medicine model was introduced in Turkey during health care reforms. This study aimed to explore from primary care workers' perspectives whether this model could achieve the cardinal functions of primary care and have an integrative position in the health care system. METHODS: Four groups of primary care workers were included in this exploratory-descriptive study. The first two groups were family physicians (FP) (n = 51) and their ancillary personnel (n = 22). The other two groups were physicians (n = 44) and midwives/nurses (n = 11) working in community health centres. Participants were selected for maximum variation and 102 in-depth interviews and six focus groups were conducted using a semi-structured form. RESULTS: Data analysis yielded five themes: accessibility, first-contact care, longitudinality, comprehensiveness, and coordination. Most participants stated that many people are not registered with any FP and that the majority of these belong to the most disadvantaged groups in society. FPs reported that 40-60% of patients on their lists have never received a service from them and the majority of those who use their services do not use FPs as the first point of contact. According to most participants, the list-based system improved the longitudinality of the relationship between FPs and patients. However, based on other statements, this improvement only applies to one quarter of the population. Whereas there was an improvement limited to a quantitative increase in services (immunisation, monitoring of pregnant women and infants) included in the performance-based contracting system, participants stated that services not among the performance targets, such as family planning, postpartum follow-ups, and chronic disease management, could be neglected. FPs admitted not being able to keep informed of services their patients had received at other health institutions. Half of the participants stated that the list-based system removed the possibility of evaluating the community as a whole. CONCLUSIONS: According to our findings, FPs have a limited role as the first point of contact and in giving longitudinal, comprehensive, and coordinated care. The family medicine model in Turkey is unable to provide a suitable structure to integrate health care services.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".