2008年-世界发展银行全球_The_Quality_of_Medical_Advice_in_Low-Income_Countries_38页_245kb

The Quality of Medical Advice in Low-Income Countries

Core Content

This paper explores the quality of medical advice in low-income countries through the lens of two methods: testing doctors using medical vignettes and watching doctors through direct observation. It provides an overview of the findings from four countries—India, Indonesia, Tanzania, and Paraguay—and highlights the challenges in improving health outcomes despite increased access to health care facilities and services.

Main Points

1. Access to Health Care Has Improved

• In many low-income countries, access to health facilities, doctors, and medications has significantly improved over the years.
• For example, in Tanzania, 68% of urban and 58% of rural residents reported taking their child to a health facility for acute respiratory infections in 2004.
• In India, similar rates were observed (78% urban, 60% rural), and the frequency of doctor visits was higher than in the U.S.
• Indonesia and Paraguay also showed high rates of health care utilization, with Paraguay reporting 53% facility use in 1990.
• The availability of health care is often higher than in the U.S., even though the quality of care may be lacking.

2. Medical Advice Quality Is Low

• Despite increased access, the quality of medical advice remains low in many low-income countries.
• Doctors in Tanzania complete less than a quarter of the essential checklist for diagnosing malaria.
• In India, public sector doctors typically ask only one question during a consultation: “What’s wrong with you?”
• In Paraguay, the amount of time a doctor spends with a patient is not correlated with the severity of the illness.

3. Competence Index and Its Validity

• A competence index was constructed using Item Response Theory (IRT) to evaluate doctors based on their responses to medical vignettes.
• The index is validated by showing that more competent doctors are less likely to recommend harmful treatments and more likely to provide correct diagnoses and treatments.
• In India, a doctor needs to be above the mean competence level to have a better than even chance of not harming the patient.

4. Correlates of Competence

• Training is strongly correlated with competence, but experience does not seem to be.
• Doctors in poorer areas tend to be less competent than those in richer areas.
• The public and private sectors show similar levels of competence, though the private sector has a long tail of poorly trained doctors who are not allowed to practice in public clinics.

5. The Role of Direct Observation

• Direct observation of doctors in India, Paraguay, and Tanzania provides insights into their actual behavior during consultations.
• The effort index was created by aggregating time spent, questions asked, and examinations performed using principal components analysis.
• Doctors in Tanzania were found to be more aligned with national protocols, while those in India and Paraguay showed significant variation in their practice.

6. Key Findings from Vignettes

• In India, only 25% of providers in Delhi asked about blood/mucous in the stool for a child with diarrhea, 49% asked about fever, and 7% checked for skull fontanel depression.
• In Tanzania, the numbers were only slightly better, and in Indonesia, the performance was even lower.
• The competence index is strongly associated with the likelihood of performing essential procedures correctly.

7. Implications for Policy

• The paper suggests that measuring and improving the quality of medical advice is critical for enhancing health outcomes.
• Traditional measures like structural quality (e.g., availability of infrastructure or drugs) are not sufficient to capture the actual quality of care.
• Training alone may not be enough if doctors do not exert sufficient effort in their practice.
• There is a need to focus on provider behavior, knowledge, and effort rather than just the presence of health care facilities.

Key Information

• Medical vignettes are used to assess what doctors know, while direct observation measures what they actually do.
• The competence index is derived from vignette responses and validated by its correlation with correct diagnosis and treatment.
• Low competence is exacerbated by low effort, leading to poor health outcomes even when access is sufficient.
• Poverty and geographic location affect the quality of care, with poor areas having less competent providers.
• The public sector may not be systematically delivering quality care, and reforms should focus on improving provider behavior and knowledge.

Conclusion

The paper emphasizes that while access to health care has improved in low-income countries, the quality of medical advice remains a critical barrier to better health outcomes. It calls for further research and the development of more effective quality measurement tools and policy interventions that address both knowledge and effort among health care providers.