Arid
DOI10.1097/MLR.0000000000001216
Validity of Race and Ethnicity Codes in Medicare Administrative Data Compared With Gold-standard Self-reported Race Collected During Routine Home Health Care Visits
Jarrin, Olga F.1,2; Nyandege, Abner N.2; Grafova, Irina B.3; Dong, XinQi2; Lin, Haiqun1
通讯作者Jarrin, Olga F.
来源期刊MEDICAL CARE
ISSN0025-7079
EISSN1537-1948
出版年2020
卷号58期号:1页码:E1-E8
英文摘要Background: Misclassification of Medicare beneficiaries' race/ethnicity in administrative data sources is frequently overlooked and a limitation in health disparities research. Objective: To compare the validity of 2 race/ethnicity variables found in Medicare administrative data [enrollment database (EDB) and Research Triangle Institute (RTI) race] against a gold-standard source also available in the Medicare data warehouse: the self-reported race/ethnicity variable on the home health Outcome and Assessment Information Set (OASIS). Subjects: Medicare beneficiaries over the age of 18 who received home health care in 2015 (N=4,243,090). Measures: Percent agreement, sensitivity, specificity, positive predictive value, and Cohen kappa coefficient. Results: The EDB and RTI race variable have high validity for black race and low validity for American Indian/Alaskan Native race. Although the RTI race variable has better validity than the EDB race variable for other races, kappa values suggest room for future improvements in classification of whites (0.90), Hispanics (0.87), Asian/Pacific Islanders (0.77), and American Indian/Alaskan Natives (0.44). Discussion: The status quo of using good-enough for government race/ethnicity variables contained in Medicare administrative data for minority health disparities research can be improved through the use of self-reported race/ethnicity data, available in the Medicare data warehouse. Health services and policy researchers should critically examine the source of race/ethnicity variables used in minority health and health disparities research. Future work to improve the accuracy of Medicare beneficiaries' race/ethnicity data should incorporate and augment the self-reported race/ethnicity data contained in assessment and survey data, available within the Medicare data warehouse.
英文关键词race ethnicity misclassification Medicare data disparities research study design methods
类型Article
语种英语
国家USA
开放获取类型Green Accepted, hybrid
收录类别SCI-E ; SSCI
WOS记录号WOS:000504089100001
WOS关键词DISPARITIES ; INFORMATION ; AGREEMENT
WOS类目Health Care Sciences & Services ; Health Policy & Services ; Public, Environmental & Occupational Health
WOS研究方向Health Care Sciences & Services ; Public, Environmental & Occupational Health
EI主题词2020-01-01
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/312090
作者单位1.Rutgers State Univ, Sch Nursing, Div Nursing Sci, 112 Paterson St, New Brunswick, NJ 08901 USA;
2.Rutgers State Univ, Inst Hlth Hlth Care Policy & Aging Res, 112 Paterson St, New Brunswick, NJ 08901 USA;
3.Rutgers State Univ, Sch Publ Hlth, New Brunswick, NJ USA
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Jarrin, Olga F.,Nyandege, Abner N.,Grafova, Irina B.,et al. Validity of Race and Ethnicity Codes in Medicare Administrative Data Compared With Gold-standard Self-reported Race Collected During Routine Home Health Care Visits[J],2020,58(1):E1-E8.
APA Jarrin, Olga F.,Nyandege, Abner N.,Grafova, Irina B.,Dong, XinQi,&Lin, Haiqun.(2020).Validity of Race and Ethnicity Codes in Medicare Administrative Data Compared With Gold-standard Self-reported Race Collected During Routine Home Health Care Visits.MEDICAL CARE,58(1),E1-E8.
MLA Jarrin, Olga F.,et al."Validity of Race and Ethnicity Codes in Medicare Administrative Data Compared With Gold-standard Self-reported Race Collected During Routine Home Health Care Visits".MEDICAL CARE 58.1(2020):E1-E8.
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