Health policy and planning
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Why do policies change? Institutions, interests, ideas and networks in three cases of policy reform.
Policy researchers have used various categories of variables to explain why policies change, including those related to institutions, interests and ideas. Recent research has paid growing attention to the role of policy networks-the actors involved in policy-making, their relationships with each other, and the structure formed by those relationships-in policy reform across settings and issues; however, this literature has largely ignored the theoretical integration of networks with other policy theories, including the '3Is' of institutions, interests and ideas. This article proposes a conceptual framework integrating these variables and tests it on three cases of policy change in Burkina Faso, addressing the need for theoretical integration with networks as well as the broader aim of theory-driven health policy analysis research in low- and middle-income countries. ⋯ In a context of high donor dependency, new donor rules affected the composition and structure of actors in the networks, which enabled the entry and dissemination of new ideas and shifts in the overall balance of interest power ultimately leading to policy change. The case of strategic networking occurred in only one case, by civil society actors, suggesting that network change is rarely the spark that initiates the process towards policy change. This analysis highlights the important role of changes in institutions and ideas to drive policymaking, but hints that network change is a necessary intermediate step in these processes.
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Intersectionality has emerged as an important framework for understanding and responding to health inequities by making visible the fluid and interconnected structures of power that create them. It promotes an understanding of the dynamic nature of the privileges and disadvantages that permeate health systems and affect health. It considers the interaction of different social stratifiers (e.g. 'race'/ethnicity, indigeneity, gender, class, sexuality, geography, age, disability/ability, migration status, religion) and the power structures that underpin them at multiple levels. ⋯ We provide examples from India, Swaziland, Uganda and Mexico. Topics for the studies range from HIV, violence and sexual abuse to immunization and the use of health entitlements. Through these 10 resources, we hope to spark interest and open a needed conversation on the importance and use of intersectional analysis in LMICs as part of understanding people-centred health systems.
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High-quality information to measure the need for, and the uptake, cost, quality and impact of care is essential in the pursuit of scaling up mental health care in low- and middle-income countries (LMIC). The aim of this study was to identify indicators for the measurement of effective coverage of mental health treatment. We conducted a two-round Delphi study (n = 93 experts from primarily LMIC countries Ethiopia, India, Nepal, Nigeria, South Africa and Uganda), in order to generate and prioritize a set of indicators. ⋯ This set of indicators is highly stable between the different groups of experts, as well as between the different participating countries. This study provides data on how mental health service and financial coverage can be assessed in LMIC. This is an important element in the move to scale-up mental health care.
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India's Universal Immunization Programme (UIP) provides basic vaccines free-of-cost in the public sector, yet national vaccination coverage is poor. The Government of India has urged an expanded role for the private sector to help achieve universal immunization coverage. We conducted a state-by-state analysis of the role of the private sector in vaccinating Indian children against each of the six primary childhood diseases covered under India's UIP. ⋯ In India, the public sector offers vaccination services to the majority of the population but the private sector should not be neglected as it could potentially improve overall vaccination coverage. The government could train and incentivize a wider range of private-sector health professionals to help deliver the vaccines, especially in the low income states with the largest birth cohorts. We recommend future studies to identify strengths and limitations of the public and private health sectors in each Indian state.
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Equity is one of the essential objectives of the social health insurance. This article evaluates the benefit distribution of the China's Urban Residents' Basic Medical Insurance (URBMI), covering 300 million urban populations. ⋯ In other words, government subsidy that was supposed to promote the universal coverage of health care flew more to the rich. Our study provides new evidence on China's health insurance system reform, and it bears meaningful policy implication for other developing countries facing similar challenges on the way to universal coverage of health insurance.