Ontology highlight
ABSTRACT: Objective
To examine outpatient care fragmentation and its association with future hospitalization among patients at high risk for hospitalization.Data sources
Veterans Affairs (VA) and Medicare data.Study design
We conducted a longitudinal study, using logistic regression to examine how outpatient care fragmentation in FY14 (as measured by number of unique providers, Breslau's Usual Provider of Care (UPC), Bice-Boxerman's Continuity of Care Index (COCI), and Modified Modified Continuity Index (MMCI)) was associated with all-cause hospitalizations and hospitalizations related to ambulatory care sensitive conditions (ACSC) in FY15. We also examined how fragmentation varied by patient's age, gender, race, ethnicity, marital status, rural status, history of homelessnes
SUBMITTER: Zulman DM
PROVIDER: S-EPMC9264453 | biostudies-literature | 2022 Aug
REPOSITORIES: biostudies-literature