ArticleBMJ open2021
Co-designing a dashboard of predictive analytics and decision support to drive care quality and client outcomes in aged care: a mixed-method study protocol.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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The trial behind it
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Who cites it
23 citing papers in PubMed.
- Development and Usability of a Dashboard for Quality Monitoring and Resident-Centered Care in Australian Residential Long-Term Care: Mixed-Methods Study.JMIR human factors · 2026Article
- From predefined indicators to a management dashboard for heart failure telemonitoring: a modified nominal group technique approach in Portuguese hospitals.BMC health services research · 2026Article
- Registered Nurse-Led Assessments in Australian Residential Aged Care Homes: A Scoping Review.Journal of advanced nursing · 2026Article
- A Digital Alert Feedback System (Aged Care Electronic Dashboard Information Tool, ACED-IT) to Enhance Quality Nursing Care: Participatory Action Research.Journal of clinical nursing · 2026Article
- Nurses as guardians of time: the hidden clinical value of continuous care in geriatrics.Frontiers in public health · 2026Review
- Exploring Health Care Professionals' Engagement With a Precision Dosing Calculator and Supporting Clinical Information: Insights From an Eye-Tracking and Usability Study.Therapeutic drug monitoring · 2025Article
- "The missing link": utility of brain health dashboards in supporting healthy ageing in primary care.BMC medical informatics and decision making · 2025Article
- Simple but complex: aged care healthcare professionals' perspectives on the design of a digital falls dashboard.BMC medical informatics and decision making · 2025Article
- Anticholinergic medication use and falls in Australian residential aged care: a retrospective multisite cohort study.Aging clinical and experimental research · 2025Article
- Advancements and Innovation Trends of Information Technology Empowering Elderly Care Community Services Based on CiteSpace and VOSViewer.Healthcare (Basel, Switzerland) · 2025Article
- Development of a Predictive Dashboard With Prescriptive Decision Support for Falls Prevention in Residential Aged Care: User-Centered Design Approach.JMIR aging · 2025Article
- Exploratory Co-Design on Electronic Health Record Nursing Summaries: Case Study.JMIR formative research · 2025Article
- Article
- Generating and translating evidence for safe and effective medication management in aged care homes.British journal of clinical pharmacology · 2025Review
- Comprehensive analysis of Australia's aged care system to inform policies for a sustainable future.Frontiers in public health · 2025Article
- Using co-design to understand consumer's health information-seeking behaviours and design preferences for a new digital clinical dashboard in aged care.BMC geriatrics · 2024Article
- 'Technology in end-of-life care is very important': the view of nurses regarding technology and end-of-life care.BMC nursing · 2024Article
- Vitamin D supplementation and falls in residential aged care: A longitudinal multisite cohort study.Bone reports · 2024Article
- Development and internal validation of a dynamic fall risk prediction and monitoring tool in aged care using routinely collected electronic health data: a landmarking approach.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Digital health: dashboards, dashboards, everywhere.Australian prescriber · 2024Article
Corrections and comments
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Authors and funding
29 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThere is a clear need for improved care quality and quality monitoring in aged care. Aged care providers collect an abundance of data, yet rarely are these data integrated and transformed in real-time into actionable information to support evidence-based care, nor are they shared with older people and informal caregivers. This protocol describes the co-design and testing of a dashboard in residential aged care facilities (nursing or care homes) and community-based aged care settings (formal care provided at home or in the community). The dashboard will comprise integrated data to provide an 'at-a-glance' overview of aged care clients, indicators to identify clients at risk of fall-related hospitalisations and poor quality of life, and evidence-based decision support to minimise these risks. Longer term plans for dashboard implementation and evaluation are also outlined.
methodsThis mixed-method study will involve (1) co-designing dashboard features with aged care staff, clients, informal caregivers and general practitioners (GPs), (2) integrating aged care data silos and developing risk models, and (3) testing dashboard prototypes with users. The dashboard features will be informed by direct observations of routine work, interviews, focus groups and co-design groups with users, and a community forum. Multivariable discrete time survival models will be used to develop risk indicators, using predictors from linked historical aged care and hospital data. Dashboard prototype testing will comprise interviews, focus groups and walk-through scenarios using a think-aloud approach with staff members, clients and informal caregivers, and a GP workshop. ETHICS AND DISSEMINATION: This study has received ethical approval from the New South Wales (NSW) Population & Health Services Research Ethics Committee and Macquarie University's Human Research Ethics Committee. The research findings will be presented to the aged care provider who will share results with staff members, clients, residents and informal caregivers. Findings will be disseminated as peer-reviewed journal articles, policy briefs and conference presentations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.