Effectiveness of the Interdisciplinary Home-bAsed Reablement Programme (I-HARP) on improving functional independence of people living with dementia: a multicentre, pragmatic, randomised, open-label, controlled trial.

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.

Features of effective hospital fall prevention trials: an intervention component analysis.

Background: Falls in hospitals continue to burden patients, staff, and health systems. Prevention approaches are varied, as well as their success at preventing falls. Intervention component analysis (ICA) is useful in indicating important features associated with successful interventions in sets of trial with high heterogeneity.

Why Mental Health Clinicians are Not Engaging in Advance Care Planning with Older People with Schizophrenia and Other Psychotic Illnesses.

Purpose: To explore mental health clinicians' attitudes, experiences, and perceived barriers regarding Advance Care Planning (ACP) with older people (aged 55+) with schizophrenia/other psychotic illnesses.

Methods: Qualitative analysis of focus group interviews with multidisciplinary mental health clinicians from public mental health services in Sydney, Australia. A senior external clinician facilitated online focus groups exploring clinicians' attitudes, experiences, and perceived barriers to ACP using a semi-structured interview guide.

The quality and safety of using generative AI to produce patient-centred discharge instructions.

Patient-centred instructions on discharge can improve adherence and outcomes. Using GPT-3.5 to generate patient-centred discharge instructions, we evaluated responses for safety, accuracy and language simplification.