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Record W4237119044 · doi:10.21203/rs.2.17267/v1

Twenty-five Years On: Revisiting Bosnia and Herzegovina after Implementation of a Family Medicine Development Program.

2019· preprint· en· W4237119044 on OpenAlexafffundabout
Geoffrey Hodgetts, Glenn Brown, Olivera Batić-Mujanović, Larisa Gavran, Zaim Jatić, Maja Račić, Gordana Tešanović, Amra Zahilić, Mary Martin, Richard Birtwhistle

Bibliographic record

VenueResearch Square · 2019
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Systems and Reforms
Canadian institutionsQueen's University
FundersQueen's University
KeywordsDevelopment (topology)Political scienceMathematics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0030.002
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.131
GPT teacher head0.429
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes3
Has abstractyes

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