Influence of social vulnerability index on Medicare beneficiaries' expenditures upon discharge

被引:2
作者
Ibrahim, Ramzi [1 ]
Lin, Lifeng [2 ]
Sainbayar, Enkhtsogt [1 ]
Pham, Hoang Nhat [1 ]
Shahid, Mahek [1 ]
Le Cam, Elise [1 ]
William, Preethi [3 ]
Paulo Ferreira, Joao [1 ]
Al-Kindi, Sadeer [4 ,5 ,6 ]
Mamas, Mamas A. [7 ]
机构
[1] Univ Arizona Tucson, Dept Med, Tucson, AZ USA
[2] Univ Arizona, Dept Epidemiol & Biostat, Tucson, AZ USA
[3] Cleveland Clin, Dept Cardiovasc Med, Cleveland, OH USA
[4] Houston Methodist Debakey Heart & Vasc Ctr, Dept Cardiol, Div Cardiovasc Prevent & Wellness, Houston, TX USA
[5] Houston Methodist, Ctr Cardiovasc Computat & Precis Hlth, Houston, TX USA
[6] Houston Methodist, Houston Methodist Acad Inst, Houston, TX USA
[7] Keele Univ, Keele Cardiovasc Res Grp, Keele, England
关键词
Social vulnerability; Medicare; insurance; disparities; HEALTH-CARE; MORTALITY; ACCESS; COST;
D O I
10.1177/10815589241247791
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Medicare beneficiaries' healthcare spending varies across geographical regions, influenced by availability of medical resources and institutional efficiency. We aimed to evaluate whether social vulnerability influences healthcare costs among Medicare beneficiaries. Multivariable regression analyses were conducted to determine whether the social vulnerability index (SVI), released by the Centers for Disease Control and Prevention (CDC), was associated with average submitted covered charges, total payment amounts, or total covered days upon hospital discharge among Medicare beneficiaries. We used information from discharged Medicare beneficiaries from hospitals participating in the Inpatient Prospective Payment System. Covariate adjustment included demographic information consisting of age groups, race/ethnicity, and Hierarchical Condition Category risk score. The regressions were performed with weights proportioned to the number of discharges. Average submitted covered charges significantly correlated with SVI (beta = 0.50, p < 0.001) in the unadjusted model and remained significant in the covariates-adjusted model (beta = 0.25, p = 0.039). The SVI was not significantly associated with the total payment amounts (beta = -0.07, p = 0.238) or the total covered days (beta = 0.00, p = 0.953) in the adjusted model. Regional variations in Medicare beneficiaries' healthcare spending exist and are influenced by levels of social vulnerability. Further research is warranted to fully comprehend the impact of social determinants on healthcare costs.
引用
收藏
页码:574 / 578
页数:5
相关论文
共 18 条
[1]   The impact of social vulnerability on the survival of the fittest older adults [J].
Andrew, Melissa K. ;
Mitnitski, Arnold ;
Kirkland, Susan A. ;
Rockwood, Kenneth .
AGE AND AGEING, 2012, 41 (02) :161-165
[2]  
[Anonymous], 2020, CDC/ATSDR Social Vulnerability Index
[3]   Neighborhood-level Social Vulnerability and Prevalence of Cardiovascular Risk Factors and Coronary Heart Disease [J].
Bevan, Graham ;
Pandey, Ambarish ;
Griggs, Stephanie ;
Dalton, Jarrod E. ;
Zidar, David ;
Patel, Shivani ;
Khang, Safi U. ;
Nasir, Khurram ;
Rajagopalan, Sanjay ;
Al-Kindi, Sadeer .
CURRENT PROBLEMS IN CARDIOLOGY, 2023, 48 (08)
[4]   Value of Neighborhood Socioeconomic Status in Predicting Risk of Outcomes in Studies That Use Electronic Health Record Data [J].
Bhavsar, Nrupen A. ;
Gao, Aijing ;
Phelan, Matthew ;
Pagidipati, Neha J. ;
Goldstein, Benjamin A. .
JAMA NETWORK OPEN, 2018, 1 (05) :e182716
[5]  
Centers for Medicare & Medicaid Services, 2023, Medicare provider utilization and payment data: part D prescriber. hwcgR-S-D-a-SS
[6]   Accuracy of Cardiovascular Risk Prediction Varies by Neighborhood Socioeconomic Position A Retrospective Cohort Study [J].
Dalton, Jarrod E. ;
Perzynski, Adam T. ;
Zidar, David A. ;
Rothberg, Michael B. ;
Coulton, Claudia J. ;
Milinovich, Alex T. ;
Einstadter, Douglas ;
Karichu, James K. ;
Dawson, Neal V. .
ANNALS OF INTERNAL MEDICINE, 2017, 167 (07) :456-+
[7]  
Fisher LS, 2000, HEALTH SERV RES, V34, P1351
[8]   Social Determinants of Health Improve Predictive Accuracy of Clinical Risk Models for Cardiovascular Hospitalization, Annual Cost, and Death [J].
Hammond, Gmerice ;
Johnston, Kenton ;
Huang, Kristine ;
Joynt Maddox, Karen E. .
CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES, 2020, 13 (06) :290-299
[9]   Mortality trends, disparities, and social vulnerability in cardiac arrest mortality in the young: A cross-sectional analysis [J].
Ibrahim, Ramzi ;
Shahid, Mahek ;
Srivathsan, Komandoor ;
Sorajja, Dan ;
Deshmukh, Abhishek ;
Lee, Justin Z. .
JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY, 2024, 35 (01) :35-43
[10]   County-Level Social Vulnerability is Associated With In-Hospital Death and Major Adverse Cardiovascular Events in Patients Hospitalized With COVID-19: An Analysis of the American Heart Association COVID-19 Cardiovascular Disease Registry [J].
Islam, Shabatun J. ;
Malla, Gargya ;
Yeh, Robert W. ;
Quyyumi, Arshed A. ;
Kazi, Dhruv S. ;
Tian, Wei ;
Song, Yang ;
Nayak, Aditi ;
Mehta, Anurag ;
Ko, Yi-An ;
de Lemos, James A. ;
Rodriguez, Fatima ;
Goyal, Abhinav ;
Wadhera, Rishi K. .
CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES, 2022, 15 (08) :611-619