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POLICY MODELING TO SUPPORT ADMINISTRATIVE DECISIONMAKING ON THE NEW YORK STATE HIV TESTING LAW
Author(s) -
Martin Erika G.,
MacDonald Roderick H.,
Smith Lou C.,
Gordon Daniel E.,
Tesoriero James M.,
Laufer Franklin N.,
Leung ShuYin J.,
O'Connell Daniel A.
Publication year - 2014
Publication title -
journal of policy analysis and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.898
H-Index - 84
eISSN - 1520-6688
pISSN - 0276-8739
DOI - 10.1002/pam.21797
Subject(s) - key (lock) , human immunodeficiency virus (hiv) , computer science , resource (disambiguation) , policy analysis , outcome (game theory) , management science , resource allocation , operations research , law , political science , economics , computer security , medicine , engineering , computer network , mathematical economics , family medicine
A recent New York law requires medical providers to offer HIV tests as part of routine care. We developed a system dynamics simulation model of the HIV testing and care system to help administrators understand the law's potential epidemic impact, resource needs, strategies to improve implementation, and appropriate outcome indicators for future policy evaluations once postlaw data become available. Policy modeling allowed us to synthesize information from numerous sources including quantitative administrative data sets and practitioners’ content expertise, structure the information to be viewed both numerically and visually, and organize consensus for decisionmaking purposes. This case illustrates how policy modeling can provide an integrated framework for administrators to examine policy problems in complex systems, particularly when data time lags limit pre–post comparisons and key outcomes cannot be measured directly.