Caroline S Carlin 1 . Show Affiliations »
Abstract
OBJECTIVE: To understand patient loyalty to providers over time, informing effective population health management. STUDY SETTING: Patient care-seeking patterns over a 6-year timeframe in Minnesota, where care systems have a significant portion of their revenue generated by shared-saving contracts with public and private payers. STUDY DESIGN: Weibull duration and probit models were used to examine patterns of patient attribution to a care system and the continuity of patient affiliation with a care system. Clustering of errors within family unit was used to account for within-family correlation in unobserved characteristics that affect patient loyalty. DATA COLLECTION: The payer provided data from health plan administrative files, matched to U.S. Census-based characteristics of the patient's neighborhood. Patients were retrospectively attributed to health care systems based on patterns of primary care. PRINCIPAL FINDINGS: I find significant patient loyalty, with past loyalty a very strong predictor of future relationship. Relationships were shorter when the patient's health status was complex and when the patient's care system was smaller. CONCLUSIONS: Population health management can be beneficial to the care system making this investment, particularly for patients exhibiting prior continuity in care system choice. The results suggest that co-located primary and specialty services are important in maintaining primary care loyalty. © Health Research and Educational Trust.
OBJECTIVE: To understand patient loyalty to providers over time, informing effective population health management. STUDY SETTING: Patient care-seeking patterns over a 6-year timeframe in Minnesota, where care systems have a significant portion of their revenue generated by shared-saving contracts with public and private payers. STUDY DESIGN: Weibull duration and probit models were used to examine patterns of patient attribution to a care system and the continuity of patient affiliation with a care system. Clustering of errors within family unit was used to account for within-family correlation in unobserved characteristics that affect patient loyalty. DATA COLLECTION: The payer provided data from health plan administrative files, matched to U.S. Census-based characteristics of the patient 's neighborhood. Patients were retrospectively attributed to health care systems based on patterns of primary care. PRINCIPAL FINDINGS: I find significant patient loyalty, with past loyalty a very strong predictor of future relationship. Relationships were shorter when the patient 's health status was complex and when the patient 's care system was smaller. CONCLUSIONS: Population health management can be beneficial to the care system making this investment, particularly for patients exhibiting prior continuity in care system choice. The results suggest that co-located primary and specialty services are important in maintaining primary care loyalty. © Health Research and Educational Trust.
Entities: Gene
Species
Keywords:
Consumer issues; organization and delivery of care; physician payment
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Year: 2014
PMID: 24461030 PMCID: PMC4231583 DOI: 10.1111/1475-6773.12147
Source DB: PubMed Journal: Health Serv Res ISSN: 0017-9124 Impact factor: 3.402