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1.
Med Care ; 56(11): 934-943, 2018 11.
Article in English | MEDLINE | ID: mdl-30256281

ABSTRACT

BACKGROUND: The Hospital Readmission Reduction Program (HRRP) disproportionately penalizes hospitals serving minority communities. The National Academy of Science, Engineering, and Medicine has recommended that the Centers for Medicare and Medicaid Services (CMS) consider adjusting for social risk factors in their risk adjustment methodology. This study examines the association between the racial and ethnic composition of a hospital market and the impact of other social risk factors on the probability of a hospital being penalized under the HRRP. RESEARCH METHODS AND DATA: This study analyzes data from CMS, the American Hospital Association, and the American Community Survey for 3168 hospitals from 2013 to 2017. We used logistic regression models to estimate the association between the penalty status under HRRP and the racial and ethnic composition of a hospital market, and explored whether this association was moderated by other social risk factors. RESULTS: Our results indicate that the probability of being penalized increases with the percentage of black and Asian residents in the hospital service area (HSA) and decreased with the percentage of Hispanic residents in the HSA. This association was reduced and became statistically insignificant when we controlled for other social risk factors. The strongest predictors of penalty status were the hospital's share of Medicaid patients and the percent of persons without a high school diploma in the HSA. CONCLUSIONS: By incorporating relevant social risk factors in the reimbursement methodology, CMS could mitigate the negative effects of HRRP on hospitals serving minority communities.


Subject(s)
Ethnicity/statistics & numerical data , Hospitals/statistics & numerical data , Patient Readmission/statistics & numerical data , Racial Groups/statistics & numerical data , Centers for Medicare and Medicaid Services, U.S./statistics & numerical data , Educational Status , Humans , Logistic Models , Medicaid/statistics & numerical data , Risk Adjustment , Risk Factors , Social Determinants of Health/ethnology , Socioeconomic Factors , United States
2.
Am J Med Genet A ; 146A(2): 166-73, 2008 Jan 15.
Article in English | MEDLINE | ID: mdl-18076114

ABSTRACT

Although retention is a critical component of longitudinal cancer genetics research, limited empirical data are available on predictors of study retention among populations that are difficult to enroll. We evaluated predictors of retention in cancer genetics research among African American women at increased risk for having a BRCA1 and BRCA2 (BRCA1/2) mutation. Participants were African American women (n = 192) at increased risk for hereditary breast-ovarian cancer who were enrolled in a longitudinal genetic counseling research study. Retention was evaluated separately for the 1- and 6-month follow-ups and in terms of overall retention (e.g., completion of both telephone interviews). Seventy-three percent of women and 65% of women were retained at the 1- and 6-month follow-ups respectively; in terms of overall retention, 60% of women were retained in both follow-up telephone interviews. Predictors of retention at 1-month included being employed (OR = 2.47, 95% CI = 1.24, 4.93, P = 0.01) whereas predictors of overall retention included having a personal history of breast and/or ovarian cancer (OR = 2.06, 95% CI = 1.07, 3.95, P = 0.03) and having completed genetic counseling (OR = 2.63, 95% CI = 1.39, 4.98, P = 0.003). These data suggest that once enrolled in genetic counseling research, the majority of African American women will continue to participate, especially if concrete clinical services are provided.


Subject(s)
Black or African American/genetics , Black or African American/psychology , Breast Neoplasms/psychology , Genetic Counseling , Ovarian Neoplasms/psychology , Attitude to Health , Breast Neoplasms/epidemiology , Breast Neoplasms/genetics , Female , Genes, BRCA1 , Genes, BRCA2 , Genetic Predisposition to Disease , Humans , Logistic Models , Middle Aged , Ovarian Neoplasms/genetics , Retention, Psychology , Risk Factors
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