Insight into Private General Physicians’ Practices: an Exploratory Qualitative Study in a Rural District of Pakistan
Bibliographic record
Abstract
OBJECTIVE: The study aimed to assess private general physicians'(GPs) healthcare practices, identifying perceived malpractices, the support they receive, and barriers they experience in providing healthcare services. DESIGN: Qualitative exploratory study. SETTING: Rural district, Thatta in Province of Sindh, Pakistan. PARTICIPANTS: 15 GPs. RESULTS: Our results include increased motivation among GPs for continued professional development, the high influence of pharmaceutical companies on providers' prescribing practices, perceived malpractices by GPs, and the prevalence of quackery and ineffective regulatory mechanisms for private GPs in a rural district. CONCLUSION: Our findings have implications for the capacity building of GPs by academic institutions, enforcement of regulatory measures by the authorities, and the introduction of measures to curb practices by unqualified practitioners. Finally, more research will be needed to further understand the perceptions of GPs, their needs and the service delivery interventions that will enhance the quality of care they provide.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".