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Inclusion of quasi-experimental studies in systematic reviews of health systems research

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  • Rockers, Peter C.
  • Røttingen, John-Arne
  • Shemilt, Ian
  • Tugwell, Peter
  • Bärnighausen, Till

Abstract

Systematic reviews of health systems research commonly limit studies for evidence synthesis to randomized controlled trials. However, well-conducted quasi-experimental studies can provide strong evidence for causal inference. With this article, we aim to stimulate and inform discussions on including quasi-experiments in systematic reviews of health systems research. We define quasi-experimental studies as those that estimate causal effect sizes using exogenous variation in the exposure of interest that is not directly controlled by the researcher. We incorporate this definition into a non-hierarchical three-class taxonomy of study designs – experiments, quasi-experiments, and non-experiments. Based on a review of practice in three disciplines related to health systems research (epidemiology, economics, and political science), we discuss five commonly used study designs that fit our definition of quasi-experiments: natural experiments, instrumental variable analyses, regression discontinuity analyses, interrupted times series studies, and difference studies including controlled before-and-after designs, difference-in-difference designs and fixed effects analyses of panel data. We further review current practices regarding quasi-experimental studies in three non-health fields that utilize systematic reviews (education, development, and environment studies) to inform the design of approaches for synthesizing quasi-experimental evidence in health systems research. Ultimately, the aim of any review is practical: to provide useful information for policymakers, practitioners, and researchers. Future work should focus on building a consensus among users and producers of systematic reviews regarding the inclusion of quasi-experiments.

Suggested Citation

  • Rockers, Peter C. & Røttingen, John-Arne & Shemilt, Ian & Tugwell, Peter & Bärnighausen, Till, 2015. "Inclusion of quasi-experimental studies in systematic reviews of health systems research," Health Policy, Elsevier, vol. 119(4), pages 511-521.
    • Handle: RePEc:eee:hepoli:v:119:y:2015:i:4:p:511-521
    DOI: 10.1016/j.healthpol.2014.10.006
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    1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    2. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    3. Douglas Almond & Joseph J. Doyle & Amanda E. Kowalski & Heidi Williams, 2010. "Estimating Marginal Returns to Medical Care: Evidence from At-risk Newborns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 591-634.
    4. King, Gary & Keohane, Robert O. & Verba, Sidney, 1995. "The Importance of Research Design in Political Science," American Political Science Review, Cambridge University Press, vol. 89(2), pages 475-481, June.
    5. Rockers, Peter C. & Feigl, Andrea B. & Røttingen, John-Arne & Fretheim, Atle & de Ferranti, David & Lavis, John N. & Melberg, Hans Olav & Bärnighausen, Till, 2012. "Study-design selection criteria in systematic reviews of effectiveness of health systems interventions and reforms: A meta-review," Health Policy, Elsevier, vol. 104(3), pages 206-214.
    6. Paul L Hutchinson & Dominique Meekers, 2012. "Estimating Causal Effects from Family Planning Health Communication Campaigns Using Panel Data: The “Your Health, Your Wealth” Campaign in Egypt," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-14, September.
    7. Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker, 2012. "The Oregon Health Insurance Experiment: Evidence from the First Year," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1057-1106.
    8. Hugh Waddington & Howard White & Birte Snilstveit & Jorge Garcia Hombrados & Martina Vojtkova & Philip Davies & Ami Bhavsar & John Eyers & Tracey Perez Koehlmoos & Mark Petticrew & Jeffrey C. Valentin, 2012. "How to do a good systematic review of effects in international development: a tool kit," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 4(3), pages 359-387, September.
    9. Robinson, Gregory & McNulty, John E. & Krasno, Jonathan S., 2009. "Observing the Counterfactual? The Search for Political Experiments in Nature," Political Analysis, Cambridge University Press, vol. 17(4), pages 341-357.
    10. William Shadish David Myers, 2004. "Campbell Collaboration Research Design Policy Brief," Mathematica Policy Research Reports 05f02566dfa14264954aedc6b, Mathematica Policy Research.
    11. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    12. Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.
    13. Su Golder & Yoon K Loke & Martin Bland, 2011. "Meta-analyses of Adverse Effects Data Derived from Randomised Controlled Trials as Compared to Observational Studies: Methodological Overview," PLOS Medicine, Public Library of Science, vol. 8(5), pages 1-13, May.
    14. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
    15. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    16. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    17. repec:mpr:mprres:4684 is not listed on IDEAS
    18. Sara Bennett & Irene Akua Agyepong & Kabir Sheikh & Kara Hanson & Freddie Ssengooba & Lucy Gilson, 2011. "Building the Field of Health Policy and Systems Research: An Agenda for Action," PLOS Medicine, Public Library of Science, vol. 8(8), pages 1-5, August.
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