Evidence map›Paper›PMID 42748485›Full record

ArticleJMIR formative research2026

Development of Guidelines for Implementing Digital Technology Into In-Home Aged Care: Mixed Methods Approach.

Frances Batchelor, Susan Williams, Kerry Hwang, Baldwin Pok Man Kwan, Marissa Dickins, Tony Walsh, Helena Jakupovic, Kayla Lock, Tanya E Davison

Abstract read
In one paragraph

Article in JMIR formative research, 2026. 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

9 authors.

Frances BatchelorClinical Gerontology, National Ageing Research Institute, 34-54 Poplar Rd, Parkville, 3052, Australia, 61 403996865.ORCID http://orcid.org/0000-0002-7302-7293
Susan WilliamsClinical Gerontology, National Ageing Research Institute, 34-54 Poplar Rd, Parkville, 3052, Australia, 61 403996865.ORCID http://orcid.org/0000-0002-6391-7700
Kerry HwangClinical Gerontology, National Ageing Research Institute, 34-54 Poplar Rd, Parkville, 3052, Australia, 61 403996865.
Baldwin Pok Man KwanResearch and Innovation, Silverchain, Osborne Park, Western Australia, Australia.ORCID http://orcid.org/0000-0003-4836-7920
Marissa DickinsMonash University, Clayton, Australia.ORCID http://orcid.org/0000-0001-8049-2540
Tony WalshClinical Gerontology, National Ageing Research Institute, 34-54 Poplar Rd, Parkville, 3052, Australia, 61 403996865.
Helena JakupovicResearch and Innovation, Silverchain, Osborne Park, Western Australia, Australia.ORCID http://orcid.org/0009-0002-4132-9198
Kayla LockClinical Gerontology, National Ageing Research Institute, 34-54 Poplar Rd, Parkville, 3052, Australia, 61 403996865.ORCID http://orcid.org/0000-0002-2357-5013
Tanya E DavisonResearch and Innovation, Silverchain, Osborne Park, Western Australia, Australia.ORCID http://orcid.org/0000-0001-8106-7976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In-home aged care is a vital part of Australia's formal aged care system, offering essential support for older adults living in their homes. From 2023 to 2024, over 1.1 million Australians received in-home aged care, and this number is expected to grow. However, significant workforce shortages are currently occurring in the sector. One potential solution to workforce shortages is integrating technology into in-home aged care. Technology can support health monitoring, care coordination, emergency detection, social connection, and physical activity. Despite progress in residential aged care, community aged care lacks sufficient evidence on technological implementation. Objective: This study aims to develop guidelines for implementing digital technology for in-home aged care, considering the needs of clients, their families, care workers, and aged care providers. Methods: Guidelines were developed by a partnership consisting of a research institute and a national provider of in-home aged care. A 2-stage, mixed methods approach was used, integrating the data from a literature review, client and staff surveys, staff interviews, a co-design workshop, and case study to inform the guidelines' content and format. Content was refined iteratively with aged care staff, older people, and researchers, using a participatory approach. Results: Seven key domains and 19 subthemes were identified as critical to the successful implementation of digital technology for in-home aged care. These included factors related to technology design, privacy and trust, training and support, organizational culture, client care, digital literacy, and perceived benefits. Each subtheme was accompanied by enablers, barriers, and practical implementation tips. The guidelines were refined through participatory methods and validated via a real-world case study involving smart glasses, demonstrating their applicability and relevance. Conclusions: The guidelines offer a comprehensive, evidence-informed framework to support aged care providers in implementing digital technology for in-home aged care. By addressing the unique challenges of in-home settings and incorporating the perspectives of clients, staff, and organizations, the guidelines aim to enhance care quality, client outcomes, and workforce sustainability. Further testing and refinement are recommended to strengthen client perspectives and evaluate broader applicability.

Indexed as

Digital TechnologyGuidelines as TopicHome Care ServicesAgedAustraliaDigital HealthHomes for the AgedHumansaged careaged care workforceaging in placedigital technologyguidelinesolder people

Identifiers

PMID42748485
PMCPMC13581284

What OpenQuestion holds

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Registered trials

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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.