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1.
Stud Health Technol Inform ; 310: 404-408, 2024 Jan 25.
Article in English | MEDLINE | ID: mdl-38269834

ABSTRACT

In the residential aged care sector medication management has been identified as a major area of concern contributing to poor outcomes and quality of life for residents. Monitoring medication management in residential aged care in Australia has been highly reliant on small, internal audits. The introduction of electronic medication administration systems provides new opportunities to establish improved methods for ongoing, timely and efficient monitoring of a range of medication indicators, made more meaningful by linking medication data with resident characteristics and outcomes. Benchmarking contemporary medication indicators provides a further opportunity for improvement and is most effective when indicator data are adjusted to take account of confounding factors, such as residents' characteristics and health conditions. Roundtables provide a structure for sharing and discussing indicator data in a trusted and supportive environment and encourage the identification of strategies which may be effective in improving medication management. This paper describes a new project to establish, implement and evaluate a National Aged Care Medication Roundtable.


Subject(s)
Informatics , Quality of Life , Humans , Aged , Patient Care , Australia , Benchmarking
2.
Australas J Ageing ; 43(1): 61-70, 2024 Mar.
Article in English | MEDLINE | ID: mdl-37861132

ABSTRACT

OBJECTIVE: Hospitalisations are an important indicator of safety and quality of care in residential aged care facilities (RACFs). This study aimed to investigate changes in hospital use 12 months before and 12 months after RACF entry using routinely collected data from 25 Australian RACFs. METHODS: This was a retrospective longitudinal cohort study using linked aged care provider and hospital record data. The sample comprised 1029 residents living in an aged care facility between July 2014 and December 2019 who had stayed a minimum of 12 months in an RACF. The outcome measures were all-cause hospitalisations and fall-related hospitalisations. We applied an interrupted time series analysis using segmented regression to examine changes in both outcome measures over time. Stratified analyses were conducted by gender and dementia status. RESULTS: The rate of all-cause hospitalisations increased dramatically over the 12 months before RACF entry, from 97 per 1000 residents per month 12 months prior to RACF admission to 303 per 1000 residents at the second month prior to RACF entry. All-cause hospitalisations then decreased considerably to 55 per 1000 residents upon RACF admission and stabilised across the next 12 months. Such trajectories were also observed in fall-related hospitalisations and were consistent for gender and dementia status. CONCLUSIONS: In this study, hospitalisation rates decreased significantly after RACF entry, and such reductions were maintained for residents who stayed for 12 months in RACFs. Multiple hospital admissions are likely to precipitate entry into RACF. Additional investigation of how community-based services can be successful in reducing the escalating hospitalisations is needed.


Subject(s)
Dementia , Hospitalization , Aged , Humans , Interrupted Time Series Analysis , Retrospective Studies , Longitudinal Studies , Australia
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