Literature DB >> 33373774

A realist review to assess for whom, under what conditions and how pay for performance programmes work in low- and middle-income countries.

Neha S Singh1, Roxanne J Kovacs2, Rachel Cassidy2, Søren R Kristensen3, Josephine Borghi2, Garrett W Brown4.   

Abstract

Pay for performance (P4P) programmes are popular health system-focused interventions aiming to improve health outcomes in low-and middle-income countries (LMICs). This realist review aims to understand how, why and under what circumstance P4P works in LMICs.We systematically searched peer-reviewed and grey literature databases, and examined the mechanisms underpinning P4P effects on: utilisation of services, patient satisfaction, provider productivity and broader health system, and contextual factors moderating these. This evidence was then used to construct a causal loop diagram.We included 112 records (19 grey literature; 93 peer-reviewed articles) assessing P4P schemes in 36 countries. Although we found mixed evidence of P4P's effects on identified outcomes, common pathways to improved outcomes include: community outreach; adherence to clinical guidelines, patient-provider interactions, patient trust, facility improvements, access to drugs and equipment, facility autonomy, and lower user fees. Contextual factors shaping the system response to P4P include: degree of facility autonomy, efficiency of banking, role of user charges in financing public services; staffing levels; staff training and motivation, quality of facility infrastructure and community social norms. Programme design features supporting or impeding health system effects of P4P included: scope of incentivised indicators, fairness and reach of incentives, timely payments and a supportive, robust verification system that does not overburden staff. Facility bonuses are a key element of P4P, but rely on provider autonomy for maximum effect. If health system inputs are vastly underperforming pre-P4P, they are unlikely to improve only due to P4P. This is the first realist review describing how and why P4P initiatives work (or fail) in different LMIC contexts by exploring the underlying mechanisms and contextual and programme design moderators. Future studies should systematically examine health system pathways to outcomes for P4P and other health system strengthening initiatives, and offer more understanding of how programme design shapes mechanisms and effects.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Child health; Low- and middle-income countries; Maternal health; Pay for performance; Performance-based financing; Realist review; Realist synthesis

Mesh:

Year:  2020        PMID: 33373774     DOI: 10.1016/j.socscimed.2020.113624

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  6 in total

1.  Appraising pay-for-performance in healthcare in low- and middle-income countries through systematic reviews: reflections from two teams.

Authors:  Karin Diaconu; Sophie Witter; Peter Binyaruka; Josephine Borghi; Garrett W Brown; Neha Singh; Cristian A Herrera
Journal:  Cochrane Database Syst Rev       Date:  2022-05-20

2.  Paying for performance to improve the delivery of health interventions in low- and middle-income countries.

Authors:  Karin Diaconu; Jennifer Falconer; Adrian Verbel; Atle Fretheim; Sophie Witter
Journal:  Cochrane Database Syst Rev       Date:  2021-05-05

3.  Can Results-Based Financing improve health outcomes in resource poor settings? Evidence from Zimbabwe.

Authors:  Eleonora Fichera; Laura Anselmi; Gwati Gwati; Garrett Brown; Roxanne Kovacs; Josephine Borghi
Journal:  Soc Sci Med       Date:  2021-05-07       Impact factor: 5.379

4.  Long-term effects of payment for performance on maternal and child health outcomes: evidence from Tanzania.

Authors:  Josephine Borghi; Peter Binyaruka; Iddy Mayumana; Siri Lange; Vincent Somville; Ottar Maestad
Journal:  BMJ Glob Health       Date:  2021-12

5.  Does a pay-for-performance health service model improve overall and rural-urban inequity in vaccination rates? A difference-in-differences analysis from the Gambia.

Authors:  Alieu Sowe; Fredinah Namatovu; Bai Cham; Per E Gustafsson
Journal:  Vaccine X       Date:  2022-08-17

6.  Performance bonuses and the quality of primary health care delivered by family health teams in Brazil: A difference-in-differences analysis.

Authors:  Nasser Fardousi; Everton Nunes da Silva; Roxanne Kovacs; Josephine Borghi; Jorge O M Barreto; Søren Rud Kristensen; Juliana Sampaio; Helena Eri Shimizu; Luciano B Gomes; Letícia Xander Russo; Garibaldi D Gurgel; Timothy Powell-Jackson
Journal:  PLoS Med       Date:  2022-07-07       Impact factor: 11.613

  6 in total

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