Evidence map›Paper›PMID 40547954›Full record

ArticleFrontiers in health services2025

Barriers and facilitators to scale-up of hospital-at-home: an observational cohort study protocol.

Stephanie Q Ko, Shi Yun Low, Nick Sevdalis

Abstract read
In one paragraph

Article in Frontiers in health services, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Stephanie Q KoDepartment of Medicine, National University Hospital, Singapore, Singapore.
Shi Yun LowNUHS@Home, National University Health System (Singapore), Singapore, Singapore.
Nick SevdalisBehavioural and Implementation Science Interventions (BISI), National University of Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hospital-at-Home interventions have been shown to be clinically and cost-effective, and many healthcare systems internationally are investing in scaling-up such interventions. However, most existing studies focus on how effective the intervention is, rather than how to successfully scale it up. We report a study protocol for a theory-driven investigation of a Hospital-at-Home intervention. We propose a novel combination of two established implementation science frameworks-the EPIS framework and the Scale-Up framework-and apply it to a planned scale-up of a Hospital-at-Home intervention in Singapore. Methods: and analysis: This will be an observational cohort study across 23 months (May 2022 to April 2024) to evaluate the association of outer and inner contextual factors on key implementation outcomes-the volume of patients admitted, operational efficiency and levels of adoption. Statistical process control graphs will be used to examine variation in the implementation outcomes over time. Linear regression will be applied to assess associations of outcomes with contextual factors that are continuous variables; logistic regression will be applied to assess the associations of outcomes with binary/descriptive contextual factors. To supplement these, qualitative methods will be applied using a content analysis of monthly meeting minutes and focus group discussions with the implementation team to understand and explain the outcomes of the observational cohort study. Ethics and dissemination: This protocol has been reviewed and approved by the National Health Group Domain Specific Review Board: Reference Number: 2023/00245. Apart from the end-of-study focus group discussions, waiver of informed consent was sought as the data sources were a review of routinely collected retrospective data. The results of this study will be disseminated to peer-reviewed journals, presented at conferences and shared with policy-level stakeholders.

Indexed as

barriers and facilitatorscontextual influencesEPIS frameworkHospital-at-Homescale-up frameworkSingapore

Identifiers

PMID40547954
PMCPMC12179168

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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.