Examining Measures of Income and Poverty in Medicare Administrative Data

Medical Care

Volumn 55, Issue 12, 2017, Pages e158-e163

  Samson, Lok Wong ^a   Finegold, Kenneth ^a   Ahmed, Azeem ^a   Jensen, Matthew ^a   Filice, Clara E ^a   Joynt, Karen E ^a  

^a U S DEPARTMENT OF HEALTH AND HUMAN SERVICES   (United States)

Author keywords

income; Medicaid; Medicare; poverty

Indexed keywords

ADMINISTRATIVE CLAIMS (HEALTH CARE); ARTICLE; COMMUNITY; DATA BASE; HEALTH PROGRAM; HUMAN; INCOME; MEDICAID; MEDICARE; NEIGHBORHOOD; OUTCOME ASSESSMENT; POVERTY; PRIORITY JOURNAL; SOCIAL STATUS; SOCIOECONOMICS; DISABLED PERSON; FEMALE; HEALTH CARE DELIVERY; HEALTH DISPARITY; INSURANCE; MALE; STATISTICS AND NUMERICAL DATA; UNITED STATES;

DISABLED PERSONS; FEMALE; HEALTH SERVICES ACCESSIBILITY; HEALTH STATUS DISPARITIES; HUMANS; INCOME; INSURANCE CLAIM REVIEW; MALE; POVERTY; SOCIOECONOMIC FACTORS; UNITED STATES;

EID: 84980383663     PISSN: 00257079     EISSN: 15371948     Source Type: Journal    
DOI: 10.1097/MLR.0000000000000606     Document Type: Article

References (38)

1. National Center for Health Statistics. Health, United States, 2011: With Special Feature on Socioeconomic Status and Health. Hyattsville, MD: National Center for Health Statistics; 2012.
2. United States Department of Health and Human Services. Healthy people 2020: social determinants of health. 2014. Available at: www. healthypeople.gov/2020/topics-objectives/topic/social-determinants-of-health. Accessed December 29, 2015.
3. National Academies of Medicine. Accounting for Social Risk Factors in Medicare Payment: Identifying Social Risk Factors. Washington, DC: National Academies of Medicine; 2016.
4. Chetty R, Stepner M, Abraham S, et al. The association between income and life expectancy in the United States, 2001-2014. JAMA. 2016;315: 1750-1766.
5. National Quality Forum. Risk Adjustment for Socioeconomic Status or Other Sociodemographic Factors. Washington, DC: National Quality Forum; 2014.
6. Kaplan GA, Keil JE. Socioeconomic factors and cardiovascular disease: a review of the literature. Circulation. 1993;88(pt 1):1973-1998.
7. Lantz PM, House JS, Lepkowski JM, et al. Socioeconomic factors, health behaviors, and mortality: results from a nationally representative prospective study of US adults. JAMA. 1998;279:1703-1708.
8. Billings J, Zeitel L, Lukomnik J, et al. Impact of socioeconomic status on hospital use in New York City. Health Aff. 1993;12:162-173.
9. Segal M, Rollins E, Hodges K, et al. Medicare-Medicaid eligible beneficiaries and potentially avoidable hospitalizations. Medicare Medicaid Res Rev. 2014;4:1.
10. Philbin EF, Dec GW, Jenkins PL, et al. Socioeconomic status as an independent risk factor for hospital readmission for heart failure. Am J Cardiol. 2001;87:1367-1371.
11. Jiang HJ, Wier LM. All-cause Hospital Readmissions among non-elderly Medicaid patients, 2007. Healthcare Cost and Utilization Project. HCUP Statistical Brief #89. 2010. Available at: www.hcup-us. ahrq.gov/reports/statbriefs/sb89.pdf. Accessed June 23, 2016.
12. Hasan O, Meltzer DO, Shaykevich SA, et al. Hospital readmission in general medicine patients: a prediction model. J Gen Intern Med. 2010; 25:211-219.
13. Tsuchihashi M, Tsutsui H, Kodama K, et al. Medical and socio-environmental predictors of hospital readmission in patients with congestive heart failure. Am Heart J. 2001;142:E7.
14. Kroch E, Duan M, Martin J, et al. Patient factors predictive of hospital readmissions within 30 days. J Healthc Qual. 2016;38:106-115.
15. Jha AK, Orav EJ, Epstein AM. Low-quality, high-cost hospitals, mainly in South, care for sharply higher shares of elderly black, Hispanic, and medicaid patients. Health Aff. 2011;30:1904-1911.
16. Gardner L, Vishwasrao S. Physician quality and health care for the poor and uninsured. Inquiry. 2010;47:62-80.
17. Venus PJ, Rector TS, Shah MM. Insights into problems obtaining care believed necessary as measured by the Medicaid Consumer Assessment of Health Plans Survey (CAHPS). Am J Manag Care. 2003; 9:797-803.
18. University of Wisconsin-Madison School of Medicine and Public Health-Health Innovation Program. Area deprivation index. 2014. Available at: www.hipxchange.org/ADI. Accessed August 11, 2015.
19. Kind AJ, Jencks S, Brock J, et al. Neighborhood socioeconomic disadvantage and 30-day rehospitalization: a retrospective cohort study. Ann Intern Med. 2014;161:765-774.
20. Kondo N, Sembajwe G, Kawachi I, et al. Income inequality, mortality, and self rated health: meta-analysis of multilevel studies. BMJ. 2009; 339:b4471.
21. Lindenauer PK, Lagu T, Rothberg MB, et al. Income inequality and 30 day outcomes after acute myocardial infarction, heart failure, and pneumonia: retrospective cohort study. BMJ. 2013;346:f521.
22. Kennedy BP, Kawachi I, Prothrow-Stith D. Income distribution and mortality: cross sectional ecological study of the Robin Hood index in the United States. BMJ. 1996;312:1004-1007.
23. Medicare-Medicaid Coordination Office. Data Analysis Brief: Medicare-Medicaid Dual Enrollment from 2006 through 2013. Baltimore, MD: Centers for Medicare and Medicaid Services; 2014.
24. Fox MH, Reichard A. Disability, health, and multiple chronic conditions among people eligible for both Medicare and Medicaid, 2005-2010. Prev Chronic Dis. 2013;10:E157.
25. Kaiser Family Foundation. Where Are States Today? Medicaid and CHIP Eligibility Levels for Adults, Children, and Pregnant Women. Washington, DC: Kaiser Family Foundation; 2015.
26. United States Social Security Administration. Supplemental Security Income (SSI) benefits. 2014. Available at: www.ssa.gov/disabilityssi/ssi.html. Accessed June 23, 2016.
27. Centers for Medicare and Medicaid Services Chronic conditions data warehouse: Medicare Part D charts. 2015. Available at: www.ccwdata. org/web/guest/medicare-charts/medicare-part-d-charts. Accessed August 11, 2015.
28. United States Social Security Administration. Medicare Premiums: Rules For Higher-Income Beneficiaries. Washington, DC: United States Social Security Administration; 2015.
29. Cubanski J, Neuman T. Medicare's Income-Related Premiums: A Data Note. Washington, DC: Kaiser Family Foundation; 2015.
30. Hu J, Gonsahn MD, Nerenz DR. Socioeconomic status and readmis-sions: evidence from an urban teaching hospital. Health Aff. 2014;33: 778-785.
31. Diez Roux AV, Merkin SS, Arnett D, et al. Neighborhood of residence and incidence of coronary heart disease. N Engl J Med. 2001;345: 99-106.
32. Winkleby MA, Cubbin C. Influence of individual and neighbourhood socioeconomic status on mortality among black, Mexican-American, and white women and men in the United States. J Epidemiol Community Health. 2003;57:444-452.
33. Krieger N, Chen JT, Waterman PD, et al. Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter?: the Public Health Disparities Geocoding Project. Am J Epidemiol. 2002; 156:471-482.
34. Daly MC, Duncan GJ, McDonough P, et al. Optimal indicators of socioeconomic status for health research. Am J Public Health. 2002;92: 1151-1157.
35. Juhn YJ, Beebe TJ, Finnie DM, et al. Development and initial testing of a new socioeconomic status measure based on housing data. J Urban Health. 2011;88:933-944.
36. Ghawi H, Crowson CS, Rand-Weaver J, et al. A novel measure of socioeconomic status using individual housing data to assess the association of SES with rheumatoid arthritis and its mortality: a population-based case-control study. BMJ Open. 2015;5:e006469.
37. Singh GK. Area deprivation and widening inequalities in US mortality, 1969-1998. Am J Public Health. 2003;93:1137-1143.
38. Blum AB, Egorova NN, Sosunov EA, et al. Impact of socioeconomic status measures on hospital profiling in New York City. Circ Cardiovasc Qual Outcomes. 2014;7:391-397.