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Patient loyalty in a mature IDS market: is population health management worth it?
- Source :
-
Health services research [Health Serv Res] 2014 Jun; Vol. 49 (3), pp. 1011-33. Date of Electronic Publication: 2014 Jan 24. - Publication Year :
- 2014
-
Abstract
- Objective: To understand patient loyalty to providers over time, informing effective population health management.<br />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.<br />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.<br />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.<br />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.<br />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.<br /> (© Health Research and Educational Trust.)
- Subjects :
- Adolescent
Adult
Child
Child, Preschool
Female
Humans
Infant
Male
Middle Aged
Minnesota
Time Factors
Young Adult
Delivery of Health Care, Integrated organization & administration
Delivery of Health Care, Integrated statistics & numerical data
Patient Acceptance of Health Care statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1475-6773
- Volume :
- 49
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Health services research
- Publication Type :
- Academic Journal
- Accession number :
- 24461030
- Full Text :
- https://doi.org/10.1111/1475-6773.12147