001456422 000__ 11327nam\a22006013i\4500 001456422 001__ 1456422 001456422 003__ MiAaPQ 001456422 005__ 20230330003330.0 001456422 006__ m\\\\\o\\d\\\\\\\\ 001456422 007__ cr\cn\nnnunnun 001456422 008__ 230328s2022\\\\xx\\\\\\o\\\\\|||\0\eng\d 001456422 020__ $$a9781464818790 001456422 020__ $$z9781464818257 001456422 035__ $$a(MiAaPQ)EBC29281309 001456422 035__ $$a(Au-PeEL)EBL29281309 001456422 035__ $$a(OCoLC)1323252898 001456422 040__ $$aMiAaPQ$$beng$$erda$$epn$$cMiAaPQ$$dMiAaPQ 001456422 1001_ $$ade Walque, Damien. 001456422 24510 $$aImproving Effective Coverage in Health :$$bDo Financial Incentives Work? 001456422 250__ $$a1st ed. 001456422 264_1 $$aChicago :$$bWorld Bank Publications,$$c2022. 001456422 264_4 $$c©2022. 001456422 300__ $$a1 online resource (291 pages). 001456422 336__ $$atext$$btxt$$2rdacontent 001456422 337__ $$acomputer$$bc$$2rdamedia 001456422 338__ $$aonline resource$$bcr$$2rdacarrier 001456422 4901_ $$aPolicy Research Reports 001456422 5050_ $$aFront Cover -- Contents -- Foreword -- Acknowledgments -- About the Authors -- Overview -- Abbreviations -- Chapter 1 Introduction -- Introduction -- Conclusions -- References -- Chapter 2 Effective Coverage: A Framework Linking Coverage and Quality -- Introduction -- Coverage, quality, and effective coverage -- Empirical applications -- Expanding the work on effective coverage by using data collected in health facilities -- Conclusions -- Notes -- References -- Chapter 3 Quality of Care: A Framework for Measurement -- Introduction -- Theoretical framework for assessing quality of care -- Measuring quality of care for research and policy -- Conclusions -- Notes -- References -- Chapter 4 Decomposing the Constraints to Quality of Care Using Data on Antenatal Care Consultations from Five Sub-Saharan African Countries -- Introduction -- Why antenatal care? -- Data -- Results -- Conclusions -- Annex 4A: Additional tables and figures -- Annex 4B: Data -- References -- Chapter 5 Performance-Based Financing Improves Coverage of Reproductive, Maternal, and Child Health Interventions -- Introduction -- PBF, health system performance, and health worker effort in theory -- Evidence of the impact of PBF on the quality and quantity of health service delivery in LMICs -- Impact of PBF on health worker motivation and satisfaction in six countries -- Results -- PBF, quality of care, and idle capacity -- Conclusions -- Notes -- References -- Chapter 6 Policy Alternatives to Performance-Based Financing -- Introduction -- Systematic review and meta-analysis of demand- and supply-side financial incentives -- Comparing the PBF and DFF approaches -- PBF, DFF, and institutional deliveries -- PBF, DFF, and baseline effort -- Complementarities in the PBF and DFF approaches -- Discussion and conclusions -- Annex 6A: Additional tables -- Notes -- References. 001456422 5058_ $$aChapter 7 Performance-Based Financing as a Health System Reform and Cautionary Evidence on Performance Pay and Irrelevant Care -- Introduction -- Provision of nonindicated treatment in the context of financial incentives -- PBF as a health system reform -- Conclusion -- Notes -- References -- Chapter 8 Conclusion and Operational Implications -- Message 1: Recognize that sustainability is about more than just money -- Message 2: Support the four facility financing tenets -- Message 3: Understand PBF incentives in a broader health system context -- Message 4: Explore opportunities of maturing technologies -- Building a forward-looking research agenda -- References -- Boxes -- Box O.1 In Focus: Action items for task teams working on health financing reform -- Box 1.1 In Focus: A short history of performance-based financing and the related evaluation agenda -- Box 3.1 In Focus: Identifying misuse of care: A case study of malaria treatment in Mali -- Box 3.2 In Focus: Measuring quality of care and provider effort in antenatal and maternal care -- Box 4.1 In Focus: Exploring the drivers of variation in the content of care -- Box 4.2 In Focus: Does discrimination contribute to poor effort? -- Box 5.1 In Focus: A middle-income country's experience with performance-based financing: The case of Argentina and Plan Nacer and Programa Sumar -- Box 5.2 In Focus: Theoretical underpinnings of health worker motivation and paying for performance -- Box 5.3 In Focus: Measurement of worker motivation and satisfaction -- Box 5.4 In Focus: Heterogeneous effects of performance-based financing on motivation and satisfaction: An example from Nigeria -- Box 6.1 In Focus: Kyrgyz Republic PBF pilot -- Box 6.2 In Focus: Demand-side interventions and incentives for increasing preventive screening for noncommunicable diseases in Armenia. 001456422 5058_ $$aBox 6.3 In Focus: Systematic review search results -- Box 6.4 In Focus: Mean effect size computation and subgroup analysis -- Box 6.5 In Focus: Effect size heterogeneity -- Box 6.6 In Focus: Combining supply- and demand-side incentives -- Box 6.7 In Focus: PBF and equity -- Box 6.8 In Focus: How do impacts depend on the baseline outcome values? Results from the meta-analysis -- Box 8.1 In Focus: Combining technological innovations to facilitate strategic purchasing -- Figures -- Figure O.1 Effective coverage contours for antenatal care -- Figure O.2 Lay of the land in centralized health systems in low-income countries -- Figure O.3 Availability of drugs and consumables, equipment, and other supplies for providing antenatal care -- Figure O.4 Know-can-do gaps in the provision of antenatal care -- Figure O.5 Provision of unnecessary care in antenatal care provision in five Sub-Saharan African countries -- Figure O.6 Impacts of performance-based financing on facility physical capacity in Cameroon and Nigeria -- Figure O.7 Impacts of performance-based financing on idle capacity-or the know-can-do gap-in Cameroon and Nigeria -- Figure O.8 Comparison of the pooled impact of performance-based and unconditional facility financing in five Sub-Saharan African countries (Cameroon, Nigeria, Rwanda, Zambia, and Zimbabwe) -- Figure O.9 Impacts of PBF, vouchers, and conditional cash transfers on the utilization of maternal and child health services: Results from a meta-analysis -- Figure 1.1 Lay of the land in centralized health systems -- Figure 1.2 Lay of the land in health systems with the addition of demand- and supply-side incentives -- Figure 2.1 Utilization, coverage, and effective coverage -- Figure 2.2 Coverage, quality, effective coverage, and the care cascade -- Figure 2.3 Effective coverage tree and its decomposition. 001456422 5058_ $$aFigure 2.4 Effective coverage and its decomposition as the product of coverage and quality -- Figure 2.5 Effective coverage contours and isocurves -- Figure 2.6 Effective coverage and its decomposition: Antenatal care and pneumonia -- Figure 2.7 Effective coverage contours for antenatal care -- Figure 2.8 Effective coverage contours for hypertension treatment -- Figure 2.9 Effective coverage contours for tuberculosis treatment -- Figure 2.10 Effective coverage contours for HIV/AIDS treatment in Mozambique, by wealth quintile, 2015 -- Figure 2.11 Effective coverage contours for child malaria and diarrhea treatment -- Figure 2.12 Effective coverage contours for various medical conditions -- Figure 2.13 Potential data sources for measuring effective coverage -- Figure 3.1 Prescriptions for antimalarials in the malaria case study -- Figure 4.1 Effective antenatal care coverage in five Sub-Saharan African countries -- Figure 4.2 Availability of drugs and consumables, equipment, and other supplies for providing antenatal care -- Figure 4.3 Performance in patient-provider interactions during antenatal care -- Figure B4.1.1 Variation in content of care in patient-provider interactions in antenatal care -- Figure 4.4 Know-can-do gaps in the provision of antenatal care -- Figure 4.5 Overuse in antenatal care provision in five Sub-Saharan African countries -- Figure 4.6 Correlation between idle capacity and provider type -- Figure B4.2.1 Inequality in the provision of ANC and effective ANC in the Democratic Republic of Congo -- Figure 4A.1 Know-can-do gaps in the performance of antenatal care in Cameroon -- Figure 4A.2 Know-can-do gaps in the performance of antenatal care in the Central African Republic -- Figure 4A.3 Know-can-do gaps in the performance of antenatal care in the Democratic Republic of Congo. 001456422 5058_ $$aFigure 4A.4 Know-can-do gaps in the performance of antenatal care in Nigeria -- Figure 4A.5 Know-can-do gaps in the performance of antenatal care in the Republic of Congo -- Figure 5.1 Key factors of performance-based financing that influence population health: An illustration -- Figure 5.2 Impacts of performance-based financing on facility physical capacity in Cameroon and Nigeria -- Figure 5.3 Impact of PBF on health worker motivation: Treatment effect (%), PBF vs. control -- Figure 5.4 Impact of PBF on health worker satisfaction: Treatment effect (%), PBF vs. control -- Figure 5.5 Impact of PBF on health worker well-being: Treatment effect (%), PBF vs. control -- Figure B5.4.1 Impact of PBF on health worker motivation: Heterogeneity in treatment effects (%), by cadre, PBF vs. control -- Figure 5.6 Impacts of performance-based financing on idle capacity-or the know-can-do gap-in Cameroon and Nigeria -- Figure 6.1 Typology and theory of change of included financial incentive interventions -- Figure B6.3.1 Search and data extraction results across all financial incentive intervention types -- Figure B6.3.2 Programs per outcome, by financial incentive intervention type -- Figure 6.2 Mean effect sizes for all incentive interventions combined -- Figure 6.3 Mean effect sizes, by intervention type -- Figure B6.6.1 Difference in mean effect size between schemes combining supply- and demand-side interventions and schemes intervening only on the supply or demand side -- Figure 6.4 Comparison of the pooled impact of performance-based and unconditional facility financing in five Sub-Saharan African countries (Cameroon, Nigeria, Rwanda, Zambia, and Zimbabwe) -- Figure 6.5 Impacts of PBF relative to DFF on idle capacity in antenatal care consultations in Cameroon and Nigeria -- Figure B6.7.1 Patient socioeconomic status, PBF, DFF, and know-can-do gaps in Nigeria. 001456422 5058_ $$aFigure B6.7.2 Patient socioeconomic status, PBF, DFF, and know-can-do gaps in Cameroon. 001456422 506__ $$aAccess limited to authorized users. 001456422 588__ $$aDescription based on publisher supplied metadata and other sources. 001456422 650_0 $$aHealth facilities Finance. 001456422 650_0 $$aManaged care plans (Medical care) Finance. 001456422 650_0 $$aMerit pay. 001456422 655_0 $$aElectronic books 001456422 7001_ $$aKandpal, Eeshani. 001456422 7001_ $$aWagstaff, Adam. 001456422 7001_ $$aFriedman, Jed. 001456422 7001_ $$aPiatti-Fünfkirchen, Moritz. 001456422 7001_ $$aSautmann, Anja. 001456422 7001_ $$aShapira, Gil. 001456422 7001_ $$aVan de Poel, Ellen. 001456422 77608 $$iPrint version:$$ade Walque, Damien$$tImproving Effective Coverage in Health$$dChicago : World Bank Publications,c2022$$z9781464818257 001456422 830_0 $$aPolicy Research Reports 001456422 852__ $$bebk 001456422 85640 $$3ProQuest Ebook Central Academic Complete $$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=29281309$$zOnline Access 001456422 909CO $$ooai:library.usi.edu:1456422$$pGLOBAL_SET 001456422 980__ $$aBIB 001456422 980__ $$aEBOOK 001456422 982__ $$aEbook 001456422 983__ $$aOnline