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Am J Epidemiol. 2018 Sep 1;187(9):1980-1989. doi: 10.1093/aje/kwy103.

Using Registry Data to Construct a Comparison Group for Programmatic Effectiveness Evaluation: The New York City HIV Care Coordination Program.

Author information

1
Institute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, City University of New York, New York, New York.
2
Bureau of HIV/AIDS Prevention and Control, New York City Department of Health and Mental Hygiene, New York, New York.
3
Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York.

Abstract

Many nonrandomized interventions rely upon a pre-post design to evaluate effectiveness. Such designs cannot account for events external to the intervention that may produce the outcome. We describe a method to construct a surveillance registry-based comparison group, which allows for estimating the effectiveness of the intervention while controlling for secular trends in the outcome of interest. Using data from the population-based, human immunodeficiency virus Surveillance Registry in New York City, we created a contemporaneous comparison group for persons enrolled in the New York City human immunodeficiency virus Care Coordination Program (CCP) from December 2009 to March 2013. Inclusion in the Registry-based (non-CCP) comparison group required meeting CCP eligibility criteria. To control for secular trends in the outcome, we randomly assigned persons in the non-CCP, Registry-based comparison group a pseudoenrollment date such that the distribution of pseudoenrollment dates matched the distribution of enrollment dates among CCP enrollees. We then matched CCP to non-CCP persons on propensity for enrollment in the CCP, enrollment dates, and baseline viral load. Registry-based comparison group estimates were attenuated relative to pre-post estimates of program effectiveness. These methods have broad applicability for observational intervention effectiveness studies and programmatic evaluations for conditions with surveillance registries.

PMID:
29788080
PMCID:
PMC6118060
[Available on 2019-09-01]
DOI:
10.1093/aje/kwy103

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