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The value of health interventions: evaluating asthma case management using matching

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  • Sylvia Brandt
  • Sara Gale
  • Ira Tager

Abstract

Despite large public investments in asthma interventions, there are few rigorous assessments of these programmes and little understanding of what comprises an effective intervention. There is a lack of appropriate data, little technical support is provided, and the programs themselves have little incentive to conduct these analyses. In this study, we apply optimal full matching using propensity scores to estimate the impact of an asthma intervention programme across a range of health outcomes. Our participation model is derived using the Deletion, Substitution and Addition (DSA) algorithm, a method used in epidemiology for model selection. We find that the asthma programme in question has no significant effect on participants that distinguishes them from matched nonparticipants, but it is not clear whether this is due to the effectiveness of the programme, heterogeneity of effects or barriers outside the programme's control. Our findings do show how current programmes could be modified to increase their effectiveness and better inform future research.

Suggested Citation

  • Sylvia Brandt & Sara Gale & Ira Tager, 2012. "The value of health interventions: evaluating asthma case management using matching," Applied Economics, Taylor & Francis Journals, vol. 44(17), pages 2245-2263, June.
  • Handle: RePEc:taf:applec:44:y:2012:i:17:p:2245-2263
    DOI: 10.1080/00036846.2011.564137
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    References listed on IDEAS

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    1. Krieger, J.W. & Takaro, T.K. & Song, L. & Weaver, M., 2005. "The Seattle-King County Healthy Homes Project: A randomized, controlled trial of a community health worker intervention to decrease exposure to indoor asthma triggers," American Journal of Public Health, American Public Health Association, vol. 95(4), pages 652-659.
    2. Joshua D. Angrist, 1998. "Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants," Econometrica, Econometric Society, vol. 66(2), pages 249-288, March.
    3. Newacheck, P.W. & Taylor, W.R., 1992. "Childhood chronic illness: Prevalence, severity, and impact," American Journal of Public Health, American Public Health Association, vol. 82(3), pages 364-371.
    4. Kewei Ming & Paul R. Rosenbaum, 2000. "Substantial Gains in Bias Reduction from Matching with a Variable Number of Controls," Biometrics, The International Biometric Society, vol. 56(1), pages 118-124, March.
    5. Perry, Cynthia D., 2008. "Does treating maternal depression improve child health management The case of pediatric asthma," Journal of Health Economics, Elsevier, vol. 27(1), pages 157-173, January.
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