Please use this identifier to cite or link to this item: https://doi.org/10.1111/1475-6773.12030
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dc.titleSimulating the impact of long-term care policy on family eldercare hours
dc.contributor.authorAnsah, J.P.
dc.contributor.authorMatchar, D.B.
dc.contributor.authorLove, S.R.
dc.contributor.authorMalhotra, R.
dc.contributor.authorDo, Y.K.
dc.contributor.authorChan, A.
dc.contributor.authorEberlein, R.
dc.date.accessioned2014-11-26T08:30:28Z
dc.date.available2014-11-26T08:30:28Z
dc.date.issued2013-04
dc.identifier.citationAnsah, J.P., Matchar, D.B., Love, S.R., Malhotra, R., Do, Y.K., Chan, A., Eberlein, R. (2013-04). Simulating the impact of long-term care policy on family eldercare hours. Health Services Research 48 (2 PART2) : 773-791. ScholarBank@NUS Repository. https://doi.org/10.1111/1475-6773.12030
dc.identifier.issn00179124
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/110268
dc.description.abstractObjective To understand the effect of current and future long-term care (LTC) policies on family eldercare hours for older adults (60 years of age and older) in Singapore. Data Sources The Social Isolation Health and Lifestyles Survey, the Survey on Informal Caregiving, and the Singapore Government's Ministry of Health and Department of Statistics. Study Design An LTC Model was created using system dynamics methodology and parameterized using available reports and data as well as informal consultation with LTC experts. Principal Findings In the absence of policy change, among the elderly living at home with limitations in their activities of daily living (ADLs), the proportion of those with greater ADL limitations will increase. In addition, by 2030, average family eldercare hours per week are projected to increase by 41 percent from 29 to 41 hours. All policy levers considered would moderate or significantly reduce family eldercare hours. Conclusion System dynamics modeling was useful in providing policy makers with an overview of the levers available to them and in demonstrating the interdependence of policies and system components. © Health Research and Educational Trust.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1111/1475-6773.12030
dc.sourceScopus
dc.subjectAging/elderly/geriatrics
dc.subjectdisability
dc.subjectgeriatrics
dc.subjecthealth policy/politics/law/regulation
dc.subjectlong-term care: home care/nursing homes
dc.subjectmedical decision making
dc.subjectmodeling: multilevel
dc.typeArticle
dc.contributor.departmentDUKE-NUS GRADUATE MEDICAL SCHOOL S'PORE
dc.description.doi10.1111/1475-6773.12030
dc.description.sourcetitleHealth Services Research
dc.description.volume48
dc.description.issue2 PART2
dc.description.page773-791
dc.description.codenHESRA
dc.identifier.isiut000316120600007
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