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Analytic Framework to Improve Access for a State Medicaid Agency

Author

Listed:
  • Dwight Lewis

    (Department of Management, The University of Alabama, Tuscaloosa, Alabama 35487)

  • Nickolas Freeman

    (Department of Information Systems, Statistics, and Management Science, The University of Alabama, Tuscaloosa, Alabama 35487)

  • Irem Sengul Orgut

    (Department of Information Systems, Statistics, and Management Science, The University of Alabama, Tuscaloosa, Alabama 35487)

  • Thera Tyner

    (Analytics, The Alabama Medicaid Agency, Montogmery, Alabama 36130)

  • Ryan Tramp

    (Department of Information Systems, Statistics, and Management Science, The University of Alabama, Tuscaloosa, Alabama 35487)

  • Niranjan Biligowda

    (Analytics, The Alabama Medicaid Agency, Montogmery, Alabama 36130)

  • Matthew Hudnall

    (Department of Information Systems, Statistics, and Management Science, The University of Alabama, Tuscaloosa, Alabama 35487)

  • Xin Thomas Yang

    (Institute of Data and Analytics, The University of Alabama, Tuscaloosa, Alabama 35487)

  • Thomas English

    (Department of Management, The University of Alabama, Tuscaloosa, Alabama 35487)

  • Marilyn Whitman

    (Department of Management, The University of Alabama, Tuscaloosa, Alabama 35487)

  • Steven Samsel

    (Institute of Data and Analytics, The University of Alabama, Tuscaloosa, Alabama 35487)

  • James Cochran

    (Culverhouse College of Business Dean’s Office, The University of Alabama, Tuscaloosa, Alabama 35487)

  • Barry Cambron

    (Analytics, The Alabama Medicaid Agency, Montogmery, Alabama 36130)

  • Danny Rush

    (Dental Program, The Alabama Medicaid Agency, Montgomery, Alabama 36130)

  • Kumari Seetala

    (Institute of Data and Analytics, The University of Alabama, Tuscaloosa, Alabama 35487)

  • Jason Parton

    (Department of Information Systems, Statistics, and Management Science, The University of Alabama, Tuscaloosa, Alabama 35487)

Abstract

Analytics can help identify strategies to improve the equity and capacity of health services for populations. However, many government agencies experience challenges with heavy workloads, limited time for continued analytic education, and employee turnover among contracted staff. Therefore, streamlining analytical workflows has the potential to (1) improve labor cost-efficiencies and (2) identify strategies to improve health among enrollees. We describe an analytic framework design that automates several empirical methods and provides recommendations for increasing healthcare access for Alabama Medicaid Agency (AMA) enrollees. The described framework, which includes descriptive and prescriptive elements, has been successfully used to inform various day-to-day analyses conducted by AMA’s Analytics Department and comprehensively analyze AMA-enrolled youths’ accessibility to licensed dentists. Specifically, in the dental context, the framework assisted in identifying (1) dental procedures that were ideal candidates for increased reimbursement payments and (2) geographical locations that AMA should target for interventions to improve physical access to care for AMA’s youth enrollees. The insights offered by the framework for dental care impact more than 0.5 million underserved youth and roughly $90 million of annual revenue for licensed dentists through reimbursements.

Suggested Citation

  • Dwight Lewis & Nickolas Freeman & Irem Sengul Orgut & Thera Tyner & Ryan Tramp & Niranjan Biligowda & Matthew Hudnall & Xin Thomas Yang & Thomas English & Marilyn Whitman & Steven Samsel & James Cochr, 2023. "Analytic Framework to Improve Access for a State Medicaid Agency," Interfaces, INFORMS, vol. 53(6), pages 390-407, November.
  • Handle: RePEc:inm:orinte:v:53:y:2023:i:6:p:390-407
    DOI: 10.1287/inte.2023.1161
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    References listed on IDEAS

    as
    1. Jan Bauer & David A Groneberg, 2016. "Measuring Spatial Accessibility of Health Care Providers – Introduction of a Variable Distance Decay Function within the Floating Catchment Area (FCA) Method," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-17, July.
    2. Neutens, Tijs, 2015. "Accessibility, equity and health care: review and research directions for transport geographers," Journal of Transport Geography, Elsevier, vol. 43(C), pages 14-27.
    3. Paul L Delamater & Joseph P Messina & Sue C Grady & Vince WinklerPrins & Ashton M Shortridge, 2013. "Do More Hospital Beds Lead to Higher Hospitalization Rates? A Spatial Examination of Roemer’s Law," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-16, February.
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    Cited by:

    1. Spencer Leitch & Zhiyuan Wei, 2024. "Improving spatial access to healthcare facilities: an integrated approach with spatial analysis and optimization modeling," Annals of Operations Research, Springer, vol. 341(2), pages 1057-1074, October.

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