Ontology highlight
ABSTRACT: Objective
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.
SUBMITTER: Ansah JP
PROVIDER: S-EPMC3626337 | biostudies-literature | 2013 Apr
REPOSITORIES: biostudies-literature
Ansah John P JP Matchar David B DB Love Sean R SR Malhotra Rahul R Do Young Kyung YK Chan Angelique A Eberlein Robert R
Health services research 20130124 2 Pt 2
<h4>Objective</h4>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.<h4>Data sources</h4>The Social Isolation Health and Lifestyles Survey, the Survey on Informal Caregiving, and the Singapore Government's Ministry of Health and Department of Statistics.<h4>Study design</h4>An LTC Model was created using system dynamics methodology and parameterized using available reports and data as w ...[more]