Background: We investigated the effectiveness of an Interdisciplinary Home-bAsed Reablement Programme (I-HARP) on improving functional independence, health and well-being of people with dementia, family carer outcomes and costs.
Method: A multicentre pragmatic parallel-arm randomised controlled trial compared I-HARP to usual care in community-dwelling people with mild to moderate dementia and their family carers in Sydney, Australia (2018-2022). I-HARP is a 4-month, home-based, dementia rehabilitation model delivered by an interdisciplinary team.
Background: Advances in technology have increased the ease of reporting hospital incidents, resulting in large amounts of qualitative descriptive data. Health services have little experience analysing these data at scale to incorporate into routine reporting.
Objective: We aimed to explore the feasibility of applying a semi-automated content analysis (SACA) tool (Leximancerâ„¢) to qualitative descriptions of system-wide hospital incidents to provide insights into safety issues at all health service levels.
Introduction: The Core Outcome Measures for Improving Care (COM-IC) project aims to deliver practical recommendations on the selection and implementation of a suite of core outcomes to measure the effectiveness of interventions for dementia care.
Methods And Analysis: COM-IC embeds a participatory action approach to using the Alignment-Harmonisation-Results framework for measuring dementia care in Australia. Using this framework, suitable core outcome measures will be identified, analysed, implemented and audited.
Background: There is plenty of evidence supporting the clinical benefits of mHealth interventions for type 2 diabetes, but despite often being promoted as cost-effective or cost-saving, there is still limited research to support such claims. The objective of this review was to summarize and critically analyze the current body of economic evaluation (EE) studies for mHealth interventions for type 2 diabetes.
Methods: Using a comprehensive search strategy, five databases were searched for full and partial EE studies for mHealth interventions for type 2 diabetes from January 2007 to March 2022.