Evidence map›Paper›PMID 40813257›Full record

ArticleJournal of clinical nursing2026

A Digital Alert Feedback System (Aged Care Electronic Dashboard Information Tool, ACED-IT) to Enhance Quality Nursing Care: Participatory Action Research.

Kasia Bail, Juliana Fernandes Barreto De Mendonca, Laura Hants, Stephen Isbel, Nathan M D'Cunha, Mark Sheldon-Stemm, Matt Elks, Desmond McGuirk, Joshua Roussos, Ping Yu and 2 more

Abstract read
In one paragraph

Article in Journal of clinical nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Kasia BailSchool of Nursing and Midwifery, Faculty of Health, University of Canberra, Canberra, Australia.ORCID 0000-0002-4797-0042
Juliana Fernandes Barreto De MendoncaCentre for Ageing Research and Translation, University of Canberra, Canberra, Australia.ORCID 0000-0001-8989-7931
Laura HantsSchool of Nursing and Midwifery, Faculty of Health, University of Canberra, Canberra, Australia.
Stephen IsbelCentre for Ageing Research and Translation, University of Canberra, Canberra, Australia.ORCID 0000-0001-5355-3205
Nathan M D'CunhaCentre for Ageing Research and Translation, University of Canberra, Canberra, Australia.ORCID 0000-0002-4616-9931
Mark Sheldon-StemmRiverview Residence Collie Inc (ValleyView), Collie, Australia.
Matt ElksRiverview Residence Collie Inc (ValleyView), Collie, Australia.
Desmond McGuirkCustomer Feedback Systems Australasia, Sydney, Australia.
Joshua RoussosCustomer Feedback Systems Australasia, Sydney, Australia.
Ping YuCentre for Digital Transformation in School of Computing and Information Technology, University of Wollongong, Wollongong, Australia.ORCID 0000-0002-7910-9396
Bernice RedleySchool of Nursing and Midwifery, Deakin University, Geelong, Australia.ORCID 0000-0002-2376-3989
Diane GibsonCentre for Ageing Research and Translation, University of Canberra, Canberra, Australia.ORCID 0000-0001-7235-3719

Funding

Aged Care Research & Industry Innovation Australia (ARIIA) GA00146
6 · The paper itself

Abstract

aimsDevelop and simulate test a digital alert dashboard drawing from existing data to support nurses, care workers and managers in residential aged care.

designParticipatory action research, co-designing for an Australian 64-bed residential site.

methodsQualitative data were collected through focus groups and analysed using reflective thematic analysis.

resultsNursing-theory and evidence-based Nursing Data Domain Standards (NDDS) were developed to support internal triaging of fundamental and clinical care in a non-clinical environment. A co-designed retrospective digital alert dashboard (Aged Care Electronic Dashboard Information Tool-ACED-IT) representing the Standards was created and tested. Twenty aged care nurses, care workers and managers found it had promise in enhancing quality of care, improving resident health and reducing adverse events.

conclusionsMaximising efficient use of resident-level data with a system that empowers nurse decision-makers is crucial to support effective care design and harm prevention. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: ACED-IT has the potential to improve visibility of resident needs, support staff to adjust their workflow based on in-house triage, enhance supervision of staff and quality of care and reduce preventable complications. IMPACT: Digital systems that enable nursing care escalation and triaging for early intervention are needed in residential aged care settings. The co-designed system was perceived by registered nurses, care workers and managers to have the potential to improve care quality and efficiency. Using an evidence-informed nursing framework to identify day-to-day care indicators can be widely implemented by government regulators, software providers and residential care providers on an international scale to improve resident experience. REPORTING

methodThis study adhered to the relevant EQUATOR guidelines, specifically the COREQ (Consolidated Criteria for Reporting Qualitative Research) Checklist. PATIENT OR PUBLIC CONTRIBUTION: A member of the public participated in the Advisory Group, observed and contributed to the co-design process and reviewed the manuscript.

Indexed as

FeedbackQuality of Health CareAdultAgedAustraliaDashboard SystemsFemaleFocus GroupsHumansMaleQualitative Research

Identifiers

PMID40813257
PMCPMC12666990

What OpenQuestion holds

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LicenceCC BY-NC
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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.