Literature DB >> 22096082

Assessing the effects of removing user fees in Zambia and Niger.

Mylene Lagarde1, Helene Barroy, Natasha Palmer.   

Abstract

OBJECTIVES: This study aims to overcome some of the limitations of previous studies investigating the effects of fee removal, by looking at heterogeneity of effects within countries and over time, as well as the existence of spill-over effects on groups not targeted by the policy change.
METHODS: Using routine district health services data before and after recent abolitions of user charges in Zambia and Niger, we examine the effects of the policy change on the use of health services by different groups and over time, using an interrupted timeseries design.
RESULTS: Removing user fees for primary health care services in rural districts in Zambia and for children over five years old in Niger increased use of services by the targeted groups. The impact of the policy change differed widely across districts, ranging from +12% and +194% in Niger to -39% and +108% in Zambia. Eighteen months after the policy change, some of these effects had been eroded. There was evidence that abolishing user fees can both have positive and negative spillover effects.
CONCLUSION: These results highlight the importance of paying attention to implementation challenges and monitoring the effects of policy reforms which are often more mixed and complicated that they appear. The comparison of these reforms in two countries also sheds light on the potentially different ways in which free care can be used as a tool to improve access.

Entities:  

Mesh:

Year:  2011        PMID: 22096082     DOI: 10.1258/jhsrp.2011.010166

Source DB:  PubMed          Journal:  J Health Serv Res Policy        ISSN: 1355-8196


  27 in total

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2.  Contextual factors as a key to understanding the heterogeneity of effects of a maternal health policy in Burkina Faso?

Authors:  Loubna Belaid; Valéry Ridde
Journal:  Health Policy Plan       Date:  2014-03-14       Impact factor: 3.344

3.  The impact of user fee removal policies on household out-of-pocket spending: evidence against the inverse equity hypothesis from a population based study in Burkina Faso.

Authors:  V Ridde; I Agier; A Jahn; O Mueller; J Tiendrebéogo; M Yé; M De Allegri
Journal:  Eur J Health Econ       Date:  2014-01-12

4.  Does Free Public Health Care Increase Utilization and Reduce Spending? Heterogeneity and Long Term Effects.

Authors:  Peter Hangoma; Bjarne Robberstad; Arild Aakvik
Journal:  World Dev       Date:  2017-07-04

5.  Health care seeking in modern urban LMIC settings: evidence from Lusaka, Zambia.

Authors:  Emma Clarke-Deelder; Doris Osei Afriyie; Mweene Nseluke; Felix Masiye; Günther Fink
Journal:  BMC Public Health       Date:  2022-06-16       Impact factor: 4.135

Review 6.  Financial incentives and coverage of child health interventions: a systematic review and meta-analysis.

Authors:  Diego G Bassani; Paul Arora; Kerri Wazny; Michelle F Gaffey; Lindsey Lenters; Zulfiqar A Bhutta
Journal:  BMC Public Health       Date:  2013-09-17       Impact factor: 4.135

7.  Studying complex interventions: reflections from the FEMHealth project on evaluating fee exemption policies in West Africa and Morocco.

Authors:  Bruno Marchal; Sara Van Belle; Vincent De Brouwere; Sophie Witter
Journal:  BMC Health Serv Res       Date:  2013-11-08       Impact factor: 2.655

8.  Uptake of evidence in policy development: the case of user fees for health care in public health facilities in Uganda.

Authors:  Juliet Nabyonga-Orem; Freddie Ssengooba; Rhona Mijumbi; Christine Kirunga Tashobya; Bruno Marchal; Bart Criel
Journal:  BMC Health Serv Res       Date:  2014-12-18       Impact factor: 2.655

9.  The coping strategies of front-line health workers in the context of user fee exemptions in Niger.

Authors:  Aïssa Diarra; Abdoulaye Ousseini
Journal:  BMC Health Serv Res       Date:  2015-11-06       Impact factor: 2.655

10.  Improving equity by removing healthcare fees for children in Burkina Faso.

Authors:  V Ridde; S Haddad; R Heinmüller
Journal:  J Epidemiol Community Health       Date:  2013-06-17       Impact factor: 3.710

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