Your browser doesn't support javascript.
loading
Racial and ethnic disparities in care for health system-affiliated physician organizations and non-affiliated physician organizations.
Timbie, Justin W; Kranz, Ashley M; DeYoreo, Maria; Eshete-Roesler, Blen; Elliott, Marc N; Escarce, José J; Totten, Mark E; Damberg, Cheryl L.
Afiliação
  • Timbie JW; RAND, Arlington, Virginia, USA.
  • Kranz AM; RAND, Arlington, Virginia, USA.
  • DeYoreo M; RAND, Santa Monica, California, USA.
  • Eshete-Roesler B; RAND, Santa Monica, California, USA.
  • Elliott MN; RAND, Santa Monica, California, USA.
  • Escarce JJ; David Geffen School of Medicine at UCLA and UCLA Fielding School of Public Health, Los Angeles, California, USA.
  • Totten ME; RAND, Santa Monica, California, USA.
  • Damberg CL; RAND, Santa Monica, California, USA.
Health Serv Res ; 55 Suppl 3: 1107-1117, 2020 12.
Article em En | MEDLINE | ID: mdl-33094846
ABSTRACT

OBJECTIVE:

To assess racial and ethnic disparities in care for Medicare fee-for-service (FFS) beneficiaries and whether disparities differ between health system-affiliated physician organizations (POs) and nonaffiliated POs. DATA SOURCES We used Medicare Data on Provider Practice and Specialty (MD-PPAS), Medicare Provider Enrollment, Chain, and Ownership System (PECOS), IRS Form 990, 100% Medicare FFS claims, and race/ethnicity estimated using the Medicare Bayesian Improved Surname Geocoding 2.0 algorithm. STUDY

DESIGN:

Using a sample of 16 007 POs providing primary care in 2015, we assessed racial/ethnic disparities on 12 measures derived from claims (2 cancer screenings; diabetic eye examinations; continuity of care; two medication adherence measures; three measures of follow-up visits after acute care; all-cause emergency department (ED) visits, all-cause readmissions, and ambulatory care-sensitive admissions). We decomposed these "total" disparities into within-PO and between-PO components using models with PO random effects. We then pair-matched 1853 of these POs that were affiliated with health systems to similar nonaffiliated POs. We examined differences in within-PO disparities by affiliation status by interacting each nonwhite race/ethnicity with an affiliation indicator. DATA COLLECTION/EXTRACTION

METHODS:

Medicare Data on Provider Practice and Specialty identified POs billing Medicare; PECOS and IRS Form 990 identified health system affiliations. Beneficiaries age 18 and older were attributed to POs using a plurality visit rule. PRINCIPAL

FINDINGS:

We observed total disparities in 12 of 36 comparisons between white and nonwhite beneficiaries; nonwhites received worse care in 10. Within-PO disparities exceeded between-PO disparities and were substantively important (>=5 percentage points or>=0.2 standardized differences) in nine of the 12 comparisons. Among these 12, nonaffiliated POs had smaller disparities than affiliated POs in two comparisons (P < .05) 1.6 percentage points smaller black-white disparities in follow-up after ED visits and 0.6 percentage points smaller Hispanic-white disparities in breast cancer screening.

CONCLUSIONS:

We find no evidence that system-affiliated POs have smaller racial and ethnic disparities than nonaffiliated POs. Where differences existed, disparities were slightly larger in affiliated POs.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atenção Primária à Saúde / Etnicidade / Prestação Integrada de Cuidados de Saúde / Grupos Raciais / Prática de Grupo Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspecto: Equity_inequality Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Health Serv Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atenção Primária à Saúde / Etnicidade / Prestação Integrada de Cuidados de Saúde / Grupos Raciais / Prática de Grupo Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspecto: Equity_inequality Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Health Serv Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos