Publications by authors named "A Towers"
Background: We developed a prototype minimum data set (MDS) for English care homes, assessing feasibility of extracting data directly from digital care records (DCRs) with linkage to health and social care data.
Methods: Through stakeholder development workshops, literature reviews, surveys and public consultation, we developed an aspirational MDS. We identified ways to extract this from existing sources, including DCRs and routine health and social care datasets.
Introduction: Information on care home residents in England is captured in numerous data sets (care home records, General Practitioner records, community nursing, etc.) but little of this information is currently analysed in a way that is useful for care providers, current or future residents and families or that realises the potential of data to enhance care provision. The DACHA study aimed to develop and test a minimum data set (MDS) which would bring together data that is useful to support and improve care and facilitate research.
View Article and Find Full Text PDFBackground: Over the past decades, self-directed models of care have been implemented throughout the world to support older people, including those with dementia, to live at home. However, there is limited information about how self-directed home care is experienced by older people with cognitive impairment and dementia, and how their thinking informs their care choices and quality of life.
Methods: We used the ASCOT-Easy Read, a staggered reveal method, talk aloud techniques, probing questions, and physical assistance to support users of self-directed home care in Australia with cognitive impairment and dementia to discuss their Social Care Related Quality of Life (SCRQoL).
Introduction: Alzheimer's disease (AD) and related dementias (ADRD) present significant health challenges. Understanding their underlying biology, advancing existing and new therapies, and enhancing care for patients and caregivers are critical priorities.
Methods: This article utilizes data from the International Alzheimer's and Related Dementias Research Portfolio (IADRP) to analyze funding patterns from the Alzheimer's Association over the past decade.