Health services reform in Bangladesh: hearing the views of health workers and their professional bodies
Bibliographic record
Abstract
BACKGROUND: In Bangladesh, widespread dissatisfaction with government health services did not improve during the Health and Population Sector Programme (HPSP) reforms from 1998-2003. A 2003 national household survey documented public and health service users' views and experience. Attitudes and behaviour of health workers are central to quality of health services. To investigate whether the views of health workers influenced the reforms, we surveyed local health workers and held evidence-based discussions with local service managers and professional bodies. METHODS: Some 1866 government health workers in facilities serving the household survey clusters completed a questionnaire about their views, experience, and problems as workers. Field teams discussed the findings from the household and health workers' surveys with local health service managers in five upazilas (administrative sub-districts) and with the Bangladesh Medical Association (BMA) and Bangladesh Nurses Association (BNA). RESULTS: Nearly one half of the health workers (45%) reported difficulties fulfilling their duties, especially doctors, women, and younger workers. They cited inadequate supplies and infrastructure, bad behaviour of patients, and administrative problems. Many, especially doctors (74%), considered they were badly treated as employees. Nearly all said lack of medicines in government facilities was due to inadequate supply, not improved during the HPSP. Two thirds of doctors and nurses complained of bad behaviour of patients. A quarter of respondents thought quality of service had improved as a result of the HPSP.Local service managers and the BMA and BNA accepted patients had negative views and experiences, blaming inadequate resources, high patient loads, and patients' unrealistic expectations. They said doctors and nurses were demotivated by poor working conditions, unfair treatment, and lack of career progression; private and unqualified practitioners sought to please patients instead of giving medically appropriate care. The BMA considered it would be dangerous to attempt to train and register unqualified practitioners. CONCLUSIONS: The continuing dissatisfaction of health workers may have undermined the effectiveness of the HPSP. Presenting the views of the public and service users to health managers helped to focus discussions about quality of services. It is important to involve health workers in health services reforms.
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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 | 0.014 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".