Race and ethnicity data in the cardiac arrest registry to enhance survival: Insights from medicare self-reported data
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作者:
Chan, Paul S.
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机构:
St Lukes Mid Amer Heart Inst, Kansas City, MO USA
Amer Heart Inst, 4401 Wornall Rd, Kansas City, MO 64111 USASt Lukes Mid Amer Heart Inst, Kansas City, MO USA
Chan, Paul S.
[1
,8
]
Merritt, Robert
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机构:
Univ Georgia, Coll Publ Hlth, Athens, GA 30606 USASt Lukes Mid Amer Heart Inst, Kansas City, MO USA
Merritt, Robert
[2
]
Chang, Anping
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机构:
CDCP, Atlanta, GA USASt Lukes Mid Amer Heart Inst, Kansas City, MO USA
Chang, Anping
[3
]
Girotra, Saket
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机构:
Univ Texas Southwestern Med Ctr, Dallas, TX USASt Lukes Mid Amer Heart Inst, Kansas City, MO USA
Girotra, Saket
[4
]
Kotini-Shah, Pavitra
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机构:
Univ Illinois, Chicago, IL USASt Lukes Mid Amer Heart Inst, Kansas City, MO USA
Kotini-Shah, Pavitra
[5
]
Al-Araji, Rabab
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机构:
Rollins Sch Publ Hlth, Atlanta, GA USASt Lukes Mid Amer Heart Inst, Kansas City, MO USA
Al-Araji, Rabab
[6
]
McNally, Bryan
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机构:
Emory Univ, Dept Emergency Med, Atlanta, GA 30322 USASt Lukes Mid Amer Heart Inst, Kansas City, MO USA
McNally, Bryan
[7
]
机构:
[1] St Lukes Mid Amer Heart Inst, Kansas City, MO USA
[2] Univ Georgia, Coll Publ Hlth, Athens, GA 30606 USA
[3] CDCP, Atlanta, GA USA
[4] Univ Texas Southwestern Med Ctr, Dallas, TX USA
[5] Univ Illinois, Chicago, IL USA
[6] Rollins Sch Publ Hlth, Atlanta, GA USA
[7] Emory Univ, Dept Emergency Med, Atlanta, GA 30322 USA
[8] Amer Heart Inst, 4401 Wornall Rd, Kansas City, MO 64111 USA
Background: For out-of-hospital cardiac arrest (OHCA), assignment of race/ethnicity data can be challenging. Validation of race/ethnicity in registry data with patients' self-reported race/ethnicity would provide insights regarding misclassification. Methods: Using recently linked 2013-2019 Cardiac Arrest Registry to Enhance Survival (CARES) data with Medicare files, we examined the concordance of race/ethnicity in CARES with self-reported race/ethnicity in Medicare. Among patients with unknown race/ethnicity in CARES, race/eth-nicity data from Medicare files were reported. Results: Of 26,875 patients in the linked data, 5757 (21.4%) had unknown race/ethnicity in CARES. Of the remaining 21,118 patients, 14,284 (67.6%) were identified in CARES as non-Hispanic White, 4771 (22.6%) as non-Hispanic Black, 1213 (5.7%) as Hispanic, 760 (3.6%) as Asian or Pacific Islander, and 90 (0.4%) as American Indian or Alaskan Native. The concordance rate for race/ethnicity between CARES and Medicare was 93.4% for patients reported as non-Hispanic White in CARES, 89.1% for non-Hispanic Blacks, 74.6% for Hispanics, 69.6% for Asians and Pacific Islanders, and 37.8% for American Indian or Alaskan Natives. For the 5757 patients with unknown race/ethnicity in CARES, 3973 (69.0%) self-reported in Medicare as non-Hispanic White, 617 (10.7%) as non-Hispanic Black, 425 (7.4%) as Hispanic, 491 (8.5%) as Asian or Pacific Islander, and 52 (0.9%) as American Indian or Alaskan Native. Race/ethnicity remained unknown in 199 (3.5%) of patients. Conclusion: Race/ethnicity in CARES was highly concordant with self-reported race/ethnicity in Medicare, especially for non-Hispanic White and Black individuals. For patients with unknown race/ethnicity data in CARES, the vast majority were of White race.
机构:
CUNY, Lehman Coll, Dept Hlth Sci, Grad Program Publ Hlth, 250 Bedford Pk Blvd W,Gillet 336, Bronx, NY 10468 USA
Columbia Univ, Mailman Sch Publ Hlth, Dept Epidemiol, New York, NY USACUNY, Lehman Coll, Dept Hlth Sci, Grad Program Publ Hlth, 250 Bedford Pk Blvd W,Gillet 336, Bronx, NY 10468 USA