Cardiovascular Disease Clinical Trial
Official title:
Improving Use of Evidence in Policy: District Evaluation Study on Health
The purpose of this study is to assess the impact of disseminating information on comparative performance, along with actionable messages on how to improve health outcomes, to district-level decision-makers in India using a randomized, controlled design. This information should improve prioritization of health services by district health officers, budget allocation for health, and implementation of priority health services at the district level.
Use of evidence in policy is uneven, leading to frequent waste of resources. However, the
best way to promote evidence uptake in policy formulation and implementation is unclear.
Information on disease control priorities based on India's disease burden and health system
capacity has been produced to help focus government efforts during a period of increased
spending and decentralization.
This study tests the impact of sending information on comparative performance (using
district report cards) and actionable messages (on how to reduce disease burden) to
district-level decision-makers on uptake of disease control priority recommendations in
India. Using a cluster-randomized design, districts will be randomized to receive either the
mailed information package or no intervention. The sample includes all 594 Indian districts
in existence in 2001. The intervention will target key district level decision-makers:
parliamentarians (Members of Parliament, Members of Legislative Assembly), bureaucrats
(District Collectors), technocrats (District Health Officers), and local government
officials (Zilla Parishad CEOs).
Study outcome data will be collected using sequential national surveys of health service
availability and utilization, including relevant rounds of the District Level Health and
Facility Surveys and the Annual Health Surveys. This study tests an inexpensive, pragmatic
strategy on a large scale and will provide information on effective methods of knowledge
translation to policy-makers.
;
Allocation: Randomized, Intervention Model: Parallel Assignment, Masking: Single Blind (Outcomes Assessor), Primary Purpose: Health Services Research
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