Twenty-five Years On: Revisiting Bosnia and Herzegovina after Implementation of a Family Medicine Development Program.
Bibliographic record
Abstract
Abstract Background: The wars that ravaged the former Socialist Federal Republic of Yugoslavia in the 1990’s resulted in the near destruction of the healthcare system, including education of medical students and the training of specialist physicians. In the latter stages of the war, inspired by Family Medicine programs in countries such as Canada, plans to rebuild a new system founded on a strong primary care model emerged. Over the next fifteen-years, the Queen’s University Family Medicine Development Program in Bosnia and Herzegovina (B-H) played an instrumental role in rebuilding the primary care system through educational initiatives at the undergraduate, residency, Masters, PhD, and continuing professional development levels. Changes were imbedded in new laws and regulations to insure sustainability. This study revisited B-H 8-years after the end of the program to evaluate the outcome of initiatives through exploring the perspectives and experiences of individuals at all levels of the primary care system from students, deans of medical schools, Family Medicine residents, practicing physicians, representatives from the Ministry of Health, Health Centre Directors and Association Leaders. Methods: Qualitative exploratory design using purposeful sampling. Semi-structured interviews and focus groups with key informants were conducted in English or with an interpreter as needed and audiotaped. Transcripts and field notes analyzed using an interpretative phenomenological approach to identify major themes and subthemes. Results: Overall, 122 participants were interviewed. Three major themes and 9 subthemes were identified including (1) The Development of Family Medicine Education, (subthemes: establishment of departments of family medicine, undergraduate medical curriculum change), (2) Family Medicine as a Discipline (Family Medicine specialization, academic development, and Family Medicine Associations), and (3) Health Care System Issues (continuity of care, comprehensiveness of care, practice organization and health human resources). Conclusions: Despite the impact of years of war and the challenges of a complex and unstable postwar environment, initiatives introduced by the Queen’s Program succeeded in establishing sustainable changes, allowing Family Medicine in BH to continue to adapt without abandoning its strong foundations. Despite the success of the program, the undervaluing of Primary Care from a human resource and health finance perspective presents ongoing threats to the system.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".