Policy Research Working Paper 6100 | Impact Evaluation Series No. 60 | This study examines the effect of performance incentives for health care providers to provide more and higher quality care in Rwanda on child health outcomes. The authors find that the incentives had a large and significant effec
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t on the weight-for-age of children 0–11 months and on the height-for-age of children 24–49 months. They attribute this improvement to increases in the use and quality of prenatal and postnatal care. Consistent with theory, They find larger effects of incentives on services where monetary rewards and the marginal return to effort are higher. The also find that incentives reduced the gap between provider knowledge and practice of appropriate clinical procedures by 20 percent, implying a large gain in efficiency. Finally, they find evidence of a strong complementarity between performance incentives and provider skill .
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The purpose of the landscape analysis is ultimately to facilitate improved engagement of private providers, thereby contributing to universal access to quality and affordable TB care and the end of the TB epidemic. It focuses on the role of private for-profit providers and on specific challenges and
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experiences in engaging them for TB prevention and care.
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This document provides an overview of strategic purchasing of nutrition services within primary health care. It introduces key terms and payment methods for countries to use in preparing to transform their health financial systems to scale up nutrit
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ion services. It does so by introducing nutritional perspectives to strategic health purchasing core areas: What to buy, From whom to buy and How to buy.
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Desk Review and Recommendations for Private Sector Engagement
Paying for performance (P4P) provides financial incentives for providers to increase the use and quality of care. P4P can affect health care by providing incentives for providers to put more effort into specific activities, and by increasing the amount of resources available to finance the delivery
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of services. This paper evaluates the impact of P4P on the use and quality of prenatal, institutional delivery, and child preventive care using data produced from a prospective quasi-experimental evaluation nested into the national rollout of P4P in Rwanda. Treatment facilities were enrolled in the P4P scheme in 2006 and comparison facilities were enrolled two years later. The incentive effect is isolated from the resource effect by increasing comparison facilities’ input-based budgets by the average P4P payments to the treatment facilities. The data were collected from 166 facilities and a random sample of 2158 households. P4P had a large and significant positive impact on institutional deliveries and preventive care visits by young children, and improved quality of prenatal care. The authors find no effect on the number of prenatal care visits or on immunization rates. P4P had the greatest effect on those services that had the highest payment rates and needed the lowest provider effort. P4P financial performance incentives can improve both the use of and the quality of health services. Because the analysis isolates the incentive effect from the resource effect in P4P, the results indicate that an equal amount of financial resources without the incentives would not have achieved the same gain in outcomes.
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The classification of digital health interventions (DHIs) categorizes the different ways in which digital and mobile technologies are being used to support health system needs. Historically, the diverse communities working in digital health—including government stakeholders, technologists, clinic
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ians, implementers, network operators, researchers, donors— have lacked a mutually understandable language with which to assess and articulate functionality. A shared and standardized vocabulary was recognized as necessary to identify gaps and duplication, evaluate effectiveness, and facilitate alignment across different digital health implementations. Targeted primarily at public health audiences, this Classification framework aims to promote an accessible and bridging language for health program planners to articulate functionalities of digital health implementations.
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Blueprint for EECA countries, first edition
Monitoring financial protection and utilization of health services in Mongolia 2009-2018 is based on national representative household socioeconomic surveys. The study finds that between 2009 and 2018, despite ambitious health reforms, the incidence of catastrophic health spending and impoverishing
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spending at the relative poverty line have increased. These increases were mainly driven by out-of-pocket spending on medicines and inpatient care. In the same period, inequity in access to and utilization of health services remained constant among population groups. Evidence suggests health financing policies need to be further strengthened to make progress towards universal health coverage. Continuous tracking of out-of-pocket payments and service utilization to inform policymaking is needed.
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Service Availability and Readiness Assessment Tool