Evidence map›Paper›PMID 42401961›Full record

SynthesisImplementation science communications2026

Implementation determinants, strategies and outcomes for scale-up of hospital-at-home: a systematic review.

Stephanie Q Ko, Rachel H Choe, Yan Ling Lai, Nick Sevdalis

Abstract readSystematic Review
In one paragraph

Synthesis in Implementation science communications, 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

4 authors.

Stephanie Q KoDepartment of Medicine, National University Hospital, Singapore, Singapore. stephanie_ko@nuhs.edu.sg.
Rachel H ChoeNUHS@Home, National University Health System, Singapore, Singapore.
Yan Ling LaiDepartment of Haematology-Oncology, National Cancer Institute of Singapore, Singapore, Singapore.
Nick SevdalisCentre for Behavioural and Implementation Science Interventions, National University of Singapore, Singapore, Singapore.

Funding

National Medical Research Council PHRGOC23Jan-0002
6 · The paper itself

Abstract

backgroundHospital-at-Home (HaH) has been shown to be clinically and cost effective, but many programs struggle to scale. We conducted a systematic review of HaH studies reporting implementation contexts, strategies and outcomes with the primary aim to synthesise the implementation evidence on HaH. Our secondary aim was to develop a framework of HaH implementation outcome indicators for future studies to apply.

methodsWe searched the literature PubMed, Embase and Scopus, for publications from 2012 to 2022. We included studies related to HaH that included at least one implementation context and at least one implementation outcome variable, excluding clinical outcomes measures. At least two reviewers independently selected studies, abstracted data and assessed quality. We coded the implementation determinants to the Consolidated Framework for Implementation Research (CFIR); implementation strategies to the Expert Recommendations for Implementing Change (ERIC); and implementation outcomes to the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) frameworks.

resultsWe included 27 studies in the final review, which reported 24 CFIR contextual factors, 25 ERIC strategies, and all domains of the RE-AIM evaluation framework. The most commonly reported implementation determinant, identified in six studies, was information technology infrastructure, which included streamlining documentation processes and improving access to patient records. Five studies described the following implementation factors: (i) work infrastructure, focusing on organising manpower effectively; (ii) capability of innovation deliverers, referring to staff posessing the necessary skills to perform their roles; and (iii) local conditions, such as the geographical challenges associated with HaH. The most frequently referenced implementation strategies were conducting ongoing training (nine studies), creating new clinical teams (eight studies), and promoting adaptability (seven studies). All assessed implementation outcomes were aligned to the RE-AIM framework, with volume of admissions, patient-reported experiences or outcome measures, and home visit frequency being most commonly reported (four studies each). The majority of implementation measures lacked a common denominator, and use of validated tools across studies was lacking.

conclusionsWe identified a list of implementation determinants, strategies and outcomes that can be used to inform scale-up of HaH, and have developed a framework for consistent reporting of HaH implementation studies grounded onto RE-AIM.

Indexed as

HomecareHospital-at-homeImplementation scienceModels of careScaling upSystematic review

Identifiers

PMID42401961
PMCPMC13625230

What OpenQuestion holds

Textmetadata
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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.