AI Article Synopsis
- Adult day care (ADC) programs cater to clients' needs with a comprehensive logic model developed through input from staff and administrators, outlining key components of their services.
- The model includes two main categories of inputs/activities: "Place to stay" and "Intervention from staff," leading to outputs regarding clients' and families' experiences.
- By evaluating and improving these inputs, ADC programs can enhance client and family outcomes, making the model useful for administrators, policymakers, and researchers in optimizing care.
Article Abstract
Adult day care (ADC) provides various services for meeting clients' needs. Based on the mini-Delphi method with 46 ADC staff and the discussions with eight ADC administrators, this study developed and finalized a comprehensive logic model to represent the elements of ADC. For the three basic structures of a logic model-inputs/activities, outputs, and outcomes-the model contained seven core categories and 23 sub-categories. The ADC inputs/activities consisted of two core categories: "Place to stay" and "Intervention from staff". These inputs/activities caused two kinds of outputs: "Clients' experiences" and "Families' experiences". "Accumulating experiences" with repeated ADC visits was established as the link between the ADC outputs and outcomes, which were "Clients' change" and "Families' change". ADC centers provide various experiences for their clients and their caregivers, ranging from the fulfillment of needs for fundamental care to psychiatric care and self-actualization. Improving various model-related inputs/interventions can produce better experiences and outcomes. The model can guide ADC administrators, policymakers, and researchers in the evaluation of a heterogeneous ADC service program that is community-based, thereby ensuring optimal care for clients with an efficient use of resources.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7143420 | PMC |
| http://dx.doi.org/10.3390/ijerph17062061 | DOI Listing |
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