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Policy Modeling To Support Administrative Decisionmaking On The New York State Hiv Testing Law

Author

Listed:
  • Erika G. Martin
  • Roderick H. MacDonald
  • Lou C. Smith
  • Daniel E. Gordon
  • James M. Tesoriero
  • Franklin N. Laufer
  • Shu‐Yin J. Leung
  • Daniel A. O'Connell

Abstract

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.

Suggested Citation

  • Erika G. Martin & Roderick H. MacDonald & Lou C. Smith & Daniel E. Gordon & James M. Tesoriero & Franklin N. Laufer & Shu‐Yin J. Leung & Daniel A. O'Connell, 2015. "Policy Modeling To Support Administrative Decisionmaking On The New York State Hiv Testing Law," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(2), pages 403-423, March.
    • Handle: RePEc:wly:jpamgt:v:34:y:2015:i:2:p:403-423
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    File URL: http://hdl.handle.net/10.1002/pam.21797
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    Citations

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    Cited by:

    1. Daniel Vujcich & Meagan Roberts & Tyler Selway & Barbara Nattabi, 2023. "The Application of Systems Thinking to the Prevention and Control of Sexually Transmissible Infections among Adolescents and Adults: A Scoping Review," IJERPH, MDPI, vol. 20(9), pages 1-27, May.
    2. Alexander Nickolaevich Melnik & Kirill Andreevich Ermolaev & Mikhail Sergeevich Kuzmin, 2019. "Mechanism for Adjustment of the Companies Innovative Activity Control Indicators to Their Strategic Development Goals," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(3), pages 189-218, September.
    3. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.
    4. Hyungjo Hur & Maryam A Andalib & Julie A Maurer & Joshua D Hawley & Navid Ghaffarzadegan, 2017. "Recent trends in the U.S. Behavioral and Social Sciences Research (BSSR) workforce," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-18, February.
    5. Jeroen van der Heijden, 2022. "The Value of Systems Thinking for and in Regulatory Governance: An Evidence Synthesis," SAGE Open, , vol. 12(2), pages 21582440221, June.
    6. A. Sardi & E. Sorano, 2021. "Dynamic Performance Management: An Approach for Managing the Common Goods," Papers 2102.04090, arXiv.org.
    7. Alberto Sardi & Enrico Sorano, 2019. "Dynamic Performance Management: An Approach for Managing the Common Goods," Sustainability, MDPI, vol. 11(22), pages 1-22, November.
    8. Erika G. Martin, 2021. "Translating Evidence Into Policy Impact: A Call To Action For Formative Policy Evaluation To Promote Evidence‐Based Decisionmaking," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(2), pages 643-649, March.

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