Abstract
ᅟClassically, epidemiological investigations are restricted to two dichotomous options: experimental studies on one side and observational studies on the other. Experimental studies, particularly randomized trials, are powerful instruments for producing knowledge in health sciences. However, in several situations, such studies are not feasible. On the other hand, observational studies that investigate the effect of “exposures,” even when using prospective approaches frequently lose the opportunity to observe, capture, and report the effects of policies and other interventions. In situations in which the use of experimental studies is not possible, quasi-experimental studies have great potential. They can produce solid causal evidence when randomized controlled trials cannot be used for different reasons. Given that health is affected by several human-made interventions (i.e., technologies, processes, policies, laws, and regulations), quasi-experiments create a significant opportunity for investigating the role of social determinants of health, with the advantage of the best articulating research results and policy-making processes, given their high external validity and the fact that they are conducted as the intervention is implemented.
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References
MacMahon B, Pugh TF, Ipsen J. Epidemiologic methods. Boston: Little, Brown & Co; 1960.
Campbell DT, Stanley JC. Experimental and quasi-experimental designs for research. Boston: Houghton Mifflin Company; 1966.
Oakes JM, Kaufman JS, editors. Methods in social epidemiology. San Francisco: Wiley; 2006.
Galea S, editor. Macrosocial determinants of population health. New York. NY: Springer Publishing Company; 2007.
Rockers PC, Røttingen JA, Shemilt I, Tugwell P, Bärnighausen T. Inclusion of quasi-experimental studies in systematic reviews of health systems research. Health Policy. 2015;119(4):511–21.
Berkman LF. Introduction: seeing the forest and the trees—from observation to experiments in social epidemiology. Epidemiol Rev. 2004;26:2–6.
McKeown T. The role of medicine. Oxford: Basil Black well; 1979.
Krieger N, Northridge M, Gruskin S, Quinn M, Kriebel D, Davey Smith G, Bassett M, Rehkopf DH, Miller C. HIA “promise and pitfalls” conference group. Assessing health impact assessment: multidisciplinary and international perspectives. J Epidemiol Community Health. 2003;57(9):659–62.
Rasella D, Aquino R, Santos CAT, Paes-Sousa R, Barreto ML. Effect of a conditional cash transfer programme on childhood mortality: a nationwide analysis of Brazilian municipalities. Lancet. 2013;382(9886):57–64.
Nery JS, Pereira SM, Rasella D, Penna MLF, Aquino R, Rodrigues LC, Barreto ML, Penna G. Effect of the Brazilian conditional cash transfer program and primary health care on the new cases detection rates of leprosy. PLoS Negl Trop Dis. 2014;8(11):e3357.
Pérez-Lu, JE, Cárcamo C, Nandi A, Kaufman JS. Health effects of ‘Juntos’, a conditional cash transfer programme in Peru. Matern Child Nutr. 2016.
Martins AP, Monteiro CA. Impact of the Bolsa Família program on food availability of low-income Brazilian families: a quasi-experimental study. BMC Public Health. 2016;16(1):827.
Lopez-Arana S, Avendano M, Forde I, van Lenthe FJ, Burdorf A. Conditional cash transfers and the double burden of malnutrition among children in Colombia: a quasi-experimental study. Br J Nutr. 2016;115(10):1780–9.
Lopez-Arana S, Avendano M, van Lenthe FJ, Burdorf A. The impact of a conditional cash transfer programme on determinants of child health: evidence from Colombia. Public Health Nutr. 2016;26:1–14.
Carvalho N, Thacker N, Gupta SS, Salomon JA. More evidence on the impact of India’s conditional cash transfer program, Janani Suraksha Yojana: quasi-experimental evaluation of the effects on childhood immunization and other reproductive and child health outcomes. PLoS One. 2014;9(10):e109311.
Gaarder MM, Glassmanb A, Todd JE. Conditional cash transfers and health: unpacking the causal chain. J Develop Effect. 2010;2:6–50.
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Barreto, M.L. Invited Commentary on Quasi-Experiments: Going Beyond the Observational and Experimental Dichotomy in Epidemiological Study Design. Curr Epidemiol Rep 3, 259–261 (2016). https://doi.org/10.1007/s40471-016-0093-5
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DOI: https://doi.org/10.1007/s40471-016-0093-5