Evidence map›Paper›PMID 41024091›Full record

ArticleBMC medical informatics and decision making2025

Simple but complex: aged care healthcare professionals' perspectives on the design of a digital falls dashboard.

Laura Dodds, Isabelle Meulenbroeks, S Sandun Malpriya Silva, Kristiana Ludlow, Crisostomo Mercado, Karla Seaman, Nasir Wabe, Melissa Baysari, Johanna I Westbrook, Amy D Nguyen

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Laura DoddsCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, 2109, Australia.
Isabelle MeulenbroeksCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, 2109, Australia.
S Sandun Malpriya SilvaCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, 2109, Australia.
Kristiana LudlowCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, 2109, Australia.
Crisostomo MercadoCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, 2109, Australia.
Karla SeamanCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, 2109, Australia.
Nasir WabeCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, 2109, Australia.
Melissa BaysariSusan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Johanna I WestbrookCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, 2109, Australia.
Amy D NguyenCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, 2109, Australia. amy.nguyen@mq.edu.au.

Funding

National Health and Medical Research Council Partnership Grant #1170898
6 · The paper itself

Abstract

backgroundDigital dashboards are widely employed across healthcare settings to present data, supporting timely risk identification and enhancing clinical decision-making. Incorporating feedback from end-users into dashboard design supports their uptake and utilisation. The current study aimed to: (a) understand how healthcare professionals working in residential aged care gather, interpret, transfer and communicate clinical information especially for falls management; and (b) utilise co-design methods to determine healthcare professionals' preferences for presentation, content and functionality of a digital falls dashboard to support delivery of care in residential aged care.

methodsParticipants were recruited via aged care provider and primary health network contacts. Individual interviews with general practitioners (GPs) (n = 3) explored end-user needs including information needs for falls management, decision-making processes, and dashboard preferences. Dashboard prototypes were developed using the interview findings and published guidelines. Prototypes were then presented for feedback in eight workshops (n = 20 participants; residential aged care staff, GPs, and geriatricians) completed via videoconferencing or in-person to gain feedback. Interview and workshop transcripts were analysed using template analysis.

resultsDuring interviews, GPs discussed difficulties in accessing aged care resident information, clinical decision-making in residential aged care, and use of decision support. During workshops, healthcare professionals shared feedback on the design, content, and functionality of dashboard prototypes. Healthcare professionals also discussed themes of human-technology interaction. This included mistrust of new digital tools and barriers to their use in residential aged care. The current study found that healthcare professionals want a dashboard that displays relevant resident data, such as medications, includes features for benchmarking, and provides detailed insights to support decision making. They expressed a need for evidence-based decision support but advocated for minimal alerts.

conclusionsHealthcare professionals were receptive to using a dashboard in residential aged care to minimise resident falls. They shared their design ideas in co-design interviews and workshops for a prospective dashboard. Findings informed the initial development and subsequent revisions of the dashboard to align with end-user preferences.

Indexed as

Accidental FallsAttitude of Health PersonnelHealth PersonnelAdultAgedFemaleHomes for the AgedHumansMaleMiddle AgedAged careClinical dashboardDashboard designDigital healthElectronic health recordNursing homeResidential aged care facility

Identifiers

PMID41024091
PMCPMC12482382

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.