Classification trees for identifying non-use of community-based long-term care services among older adults

Michael James Penkunas, Kirsten Yuna Eom and Angelique Wei-Ming Chan

Health Policy, 2017, vol. 121, issue 10, 1093-1099

Abstract: Home- and center-based long-term care (LTC) services allow older adults to remain in the community while simultaneously helping caregivers cope with the stresses associated with providing care. Despite these benefits, the uptake of community-based LTC services among older adults remains low. We analyzed data from a longitudinal study in Singapore to identify the characteristics of individuals with referrals to home-based LTC services or day rehabilitation services at the time of hospital discharge. Classification and regression tree analysis was employed to identify combinations of clinical and sociodemographic characteristics of patients and their caregivers for individuals who did not take up their referred services. Patients’ level of limitation in activities of daily living (ADL) and caregivers’ ethnicity and educational level were the most distinguishing characteristics for identifying older adults who failed to take up their referred home-based services. For day rehabilitation services, patients’ level of ADL limitation, home size, age, and possession of a national medical savings account, as well as caregivers’ education level, and gender were significant factors influencing service uptake. Identifying subgroups of patients with high rates of non-use can help clinicians target individuals who are need of community-based LTC services but unlikely to engage in formal treatment.

Keywords: Community-based long-term care; Classification and regression tree; Singapore (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016885101730146X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:hepoli:v:121:y:2017:i:10:p:1093-1099

DOI: 10.1016/j.healthpol.2017.05.008

Access Statistics for this article

Health Policy is currently edited by Katrien Kesteloot, Mia Defever and Irina Cleemput

More articles in Health Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu () and ().