24
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Responding to policy makers’ evaluation needs: combining experimental and quasi-experimental approaches to estimate the impact of performance based financing in Burkina Faso

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The last two decades have seen a growing recognition of the need to expand the impact evaluation toolbox from an exclusive focus on randomized controlled trials to including quasi-experimental approaches. This appears to be particularly relevant when evaluation complex health interventions embedded in real-life settings often characterized by multiple research interests, limited researcher control, concurrently implemented policies and interventions, and other internal validity-threatening circumstances. To date, however, most studies described in the literature have employed either an exclusive experimental or an exclusive quasi-experimental approach.

          Methods

          This paper presents the case of a study design exploiting the respective advantages of both approaches by combining experimental and quasi-experimental elements to evaluate the impact of a Performance-Based Financing (PBF) intervention in Burkina Faso. Specifically, the study employed a quasi-experimental design (pretest-posttest with comparison) with a nested experimental component (randomized controlled trial). A difference-in-differences approach was used as the main analytical strategy.

          Discussion

          We aim to illustrate a way to reconcile scientific and pragmatic concerns to generate policy-relevant evidence on the intervention’s impact, which is methodologically rigorous in its identification strategy but also considerate of the context within which the intervention took place. In particular, we highlight how we formulated our research questions, ultimately leading our design choices, on the basis of the knowledge needs expressed by the policy and implementing stakeholders. We discuss methodological weaknesses of the design arising from contextual constraints and the accommodation of various interests, and how we worked ex-post to address them to the best extent possible to ensure maximal accuracy and credibility of our findings. We hope that our case may be inspirational for other researchers wishing to undertake research in settings where field circumstances do not appear to be ideal for an impact evaluation.

          Trial registration

          Registered with RIDIE (RIDIE-STUDY-ID- 54412a964bce8) on 10/17/2014.

          Related collections

          Most cited references26

          • Record: found
          • Abstract: not found
          • Article: not found

          Bootstrap-Based Improvements for Inference with Clustered Errors

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Nonparametric standard errors and confidence intervals

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Selecting and Improving Quasi-Experimental Designs in Effectiveness and Implementation Research

              Interventional researchers face many design challenges when assessing intervention implementation in real-world settings. Intervention implementation requires ‘holding fast’ on internal validity needs while incorporating external validity considerations (such as uptake by diverse sub-populations, acceptability, cost, sustainability). Quasi-experimental designs (QEDs) are increasingly employed to achieve a better balance between internal and external validity. Although these designs are often referred to and summarized in terms of logistical benefits versus threats to internal validity, there is still uncertainty about: (1) how to select from among various QEDs, and (2) strategies to strengthen their internal and external validity. We focus on commonly used QEDs (pre-post designs with non-equivalent control groups, interrupted time series, and stepped wedge designs) and discuss several variants that maximize internal and external validity at the design, execution, and analysis stages.
                Bookmark

                Author and article information

                Contributors
                manuela.deallegri@uni-heidelberg.de
                julia.lohmann@uni-heidelberg.de
                souares@uni-heidelberg.de
                schleicher.micha@gmail.com
                hsaidou@worldbank.org
                herve.hien@centre-muraz.bf
                housmanediadie@worldbank.org
                probyn@worldbank.org
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                22 October 2019
                22 October 2019
                2019
                : 19
                : 733
                Affiliations
                [1 ]ISNI 0000 0001 2190 4373, GRID grid.7700.0, Institute of Global Health, Medical Faculty, , Heidelberg University, ; Germany; Im Neuenheimer Feld 130.3, 69120 Heidelberg, Germany
                [2 ]The World Bank; Nouvelle Route Bastos B. P 1128, Yaoundé, Cameroon
                [3 ]Centre MURAZ, 2054 Avenue Mamadou KONATE, 01 B.P. 390, Bobo-Dioulasso, 01 Burkina Faso
                [4 ]The World Bank; Health, Nutrition, Population Global Practice, 1818 H Street, NW, Washington, DC 20433 USA
                Author information
                http://orcid.org/0000-0002-8677-1337
                Article
                4558
                10.1186/s12913-019-4558-3
                6805435
                31640694
                c70d79a0-809c-444e-bd30-ea355049a18b
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 9 October 2018
                : 24 September 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100004421, World Bank Group;
                Award ID: NA
                Categories
                Study Protocol
                Custom metadata
                © The Author(s) 2019

                Health & Social care
                burkina faso,performance-based financing,randomized controlled trial,quasi-experiment,difference-in-differences

                Comments

                Comment on this article