IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v53y2023i6p390-407.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.2023.1161
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.2023.1161?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pereira, Rafael H.M. & Braga, Carlos Kauê Vieira & Servo, Luciana Mendes & Serra, Bernardo & Amaral, Pedro & Gouveia, Nelson & Paez, Antonio, 2021. "Geographic access to COVID-19 healthcare in Brazil using a balanced float catchment area approach," Social Science & Medicine, Elsevier, vol. 273(C).
    2. Chen, Bi Yu & Cheng, Xue-Ping & Kwan, Mei-Po & Schwanen, Tim, 2020. "Evaluating spatial accessibility to healthcare services under travel time uncertainty: A reliability-based floating catchment area approach," Journal of Transport Geography, Elsevier, vol. 87(C).
    3. Gu, Zongni & Luo, Xiaolong & Tang, Mi & Liu, Xiaoman, 2023. "Does the edge effect impact the healthcare equity? An examination of the equity in hospitals accessibility in the edge city in multi-scale," Journal of Transport Geography, Elsevier, vol. 106(C).
    4. Richard Gearhart & Nyakundi Michieka, 2020. "A non-parametric investigation of supply side factors and healthcare efficiency in the U.S," Journal of Productivity Analysis, Springer, vol. 54(1), pages 59-74, August.
    5. Yoonchae Yoon & Jina Park, 2022. "Equitable City in an Aging Society: Public Transportation-Based Primary Care Accessibility in Seoul, Korea," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    6. Pan, Jay & Qin, Xuezheng & Li, Qian & Messina, Joseph P. & Delamater, Paul L., 2015. "Does hospital competition improve health care delivery in China?," China Economic Review, Elsevier, vol. 33(C), pages 179-199.
    7. Chen, Yue & Jia, Shunping & Xu, Qi & Xiao, Zhongsheng & Zhang, Shujing, 2023. "Measuring the dynamic accessibility to COVID-19 testing sites in the 15-min city: A focus on service congestion and mobility difference," Journal of Transport Geography, Elsevier, vol. 111(C).
    8. Hersila H. Patel & Sarah E. Messiah & Eric Hansen & Emily M. D’Agostino, 2021. "The relationship between transportation vulnerability, school attendance, and free transportation to an afterschool program for youth," Transportation, Springer, vol. 48(5), pages 2315-2333, October.
    9. João Lourenço Marques & Jan Wolf & Fillipe Feitosa, 2021. "Accessibility to primary schools in Portugal: a case of spatial inequity?," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 693-707, June.
    10. Martino Tran & Christina Draeger & Xuerou Wang & Abbas Nikbakht, 2023. "Monitoring the well-being of vulnerable transit riders using machine learning based sentiment analysis and social media: Lessons from COVID-19," Environment and Planning B, , vol. 50(1), pages 60-75, January.
    11. Antonio Paez & Christopher D Higgins & Salvatore F Vivona, 2019. "Demand and level of service inflation in Floating Catchment Area (FCA) methods," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-38, June.
    12. Zhuolin Tao & Qi Wang, 2022. "Facility or Transport Inequality? Decomposing Healthcare Accessibility Inequality in Shenzhen, China," IJERPH, MDPI, vol. 19(11), pages 1-14, June.
    13. Kanuganti, Shalini & Sarkar, Ashoke Kumar & Singh, Ajit Pratap, 2016. "Evaluation of access to health care in rural areas using enhanced two-step floating catchment area (E2SFCA) method," Journal of Transport Geography, Elsevier, vol. 56(C), pages 45-52.
    14. Zihe Wang & Gege Yan & Siyuan Wang, 2022. "Fairness Evaluation of Landscape Justice in Urban Park Green Space: A Case Study of the Daxing Part of Yizhuang New Town, Beijing," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    15. Li, Chuanyao & Wang, Junren, 2022. "A hierarchical two-step floating catchment area analysis for high-tier hospital accessibility in an urban agglomeration region," Journal of Transport Geography, Elsevier, vol. 102(C).
    16. Aurélie Mercier & Stéphanie Souche‐Le Corvec & Nicolas Ovtracht, 2021. "Measure of accessibility to postal services in France: A potential spatial accessibility approach applied in an urban region," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 227-249, February.
    17. Luz, Gregório & Barboza, Matheus H.C. & Portugal, Licinio & Giannotti, Mariana & van Wee, Bert, 2022. "Does better accessibility help to reduce social exclusion? Evidence from the city of São Paulo, Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 186-217.
    18. Ruqin Yang & Yaolin Liu & Yanfang Liu & Hui Liu & Wenxia Gan, 2019. "Comprehensive Public Transport Service Accessibility Index—A New Approach Based on Degree Centrality and Gravity Model," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    19. Chen, Wendong & Cheng, Long & Chen, Xuewu & Chen, Jingxu & Cao, Mengqiu, 2021. "Measuring accessibility to health care services for older bus passengers: A finer spatial resolution," Journal of Transport Geography, Elsevier, vol. 93(C).
    20. Tao, Zhuolin & Cheng, Yang & Du, Shishuai & Feng, Ling & Wang, Shaoshuai, 2020. "Accessibility to delivery care in Hubei Province, China," Social Science & Medicine, Elsevier, vol. 260(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orinte:v:53:y:2023:i:6:p:390-407. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.