Evidence map›Paper›PMID 30948606›Full record

Trial reportBMJ open2019

What are the positive drivers and potential barriers to implementation of hospital at home selected by low-risk DECAF score in the UK: a qualitative study embedded within a randomised controlled trial.

Lorelle Louise Dismore, Carlos Echevarria, Anna van Wersch, John Gibson, Stephen Bourke

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05952999 (Examining the Intervention Effectiveness of Hospital at Home for Improving Health Outcomes and Experiences for Patients, Clinicians, and Caregivers), which is not on this map. Cited by 26 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 8 pooled it
1.7field-weighted citation impact, top 18% of its field
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.

NCT05952999 enrolling by invitationnot on this mapstarted 2023, after this paper: background citation

Examining the Intervention Effectiveness of Hospital at Home for Improving Health Outcomes and Experiences for Patients, Clinicians, and Caregivers

TypeobservationalSponsorOSF Healthcare SystemRan2023 to 2026Enrolled9,654ConditionsConditions, Infections, Heart Failure, Renal and Urinary DisordersArmsDigital Care Solution as supportive personalized care, Traditional Hospital Level Care
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 8 syntheses or guidelines pooled it, 66 citations in OpenAlex.

  1. Pooled it
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  5. Admission avoidance hospital at home.The Cochrane database of systematic reviews · 2024
    Pooled it
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  9. Article
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  12. Hybrid Hospital-at-Home Program in Singapore: Ethnographic Study.Journal of medical Internet research · 2025
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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

5 authors at 3 institutions in 1 country.

Lorelle Louise DismoreDepartment of Research and Development, Northumbria Healthcare NHS Foundation Trust, North Shields, UK.
Carlos EchevarriaRespiratory Medicine, Northumbria Healthcare NHS Foundation Trust, North Shields, UK.
Anna van WerschSchool of Social Sciences, Humanities and Law, Teesside University, Middlesbrough, UK.
John GibsonInstitute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne, UK.
Stephen BourkeRespiratory Medicine, Northumbria Healthcare NHS Foundation Trust, North Shields, UK.
Northumbria Healthcare NHS Foundation Trust · GBTeesside University · GBNewcastle University · GB

Funding

Department of Health PB-PG-0213-30105
6 · The paper itself

Abstract

objectiveHospital at home (HAH) for chronic obstructive pulmonary disease exacerbation selected by low-risk Dyspnoea, Eosinopenia, Consolidation, Acidaemia and atrial Fibrillation (DECAF) score is clinical and cost-effective; DECAF is a prognostic score indicating risk of mortality. Up to 50% of admitted patients are suitable, a much larger proportion than earlier services. Introduction of new models of care is challenging, but may be facilitated by informed engagement with stakeholders. This qualitative study sought to identify facilitators and barriers to implementation of HAH.

designSemistructured interviews, data were analysed using thematic-construct analysis.

settingInterviews were conducted within patients' homes and hospitals in North East England.

participants89 participants were interviewees; 44 patients, 15 carers, 15 physicians, 11 specialist nurses and 4 managers.

resultsFacilitators include the following: (1) availability of home comforts and maintaining independence (with positive influences on perceived rate of recovery, sleep quality and convenience for friends, family and carers) and (2) confidence in the continuity of HAH care. Barriers include the following: (1) fear of being alone at home; (2) privacy issues and not wanting visitors and (3) resistance to change. Clinician concerns occasionally delayed return home, principally during the early phase of the trial. Nurses cited higher workload and greater responsibility, but with additional resource and training; overall, they viewed HAH positively. Operational concerns included keeping medical records in a patient's home and inability to capture activity within current payment systems.

conclusionHAH selected by DECAF was preferred to inpatient care by most patients and their families. Implementation in other hospitals will require education, training and service planning, tailored to overcome the identified barriers. TRIAL REGISTRATION NUMBER: ISRCTN29082260.

Indexed as

Health Services AccessibilityHome Care Services, Hospital-BasedPatient SelectionRisk AssessmentAcidosisAgedAged, 80 and overAgranulocytosisAtrial FibrillationDyspneaFemaleHumansMaleMiddle AgedQualitative ResearchRisk FactorsCOPDexacerbationqualitativeservice development

Identifiers

PMID30948606
PMCPMC6500229
OpenAlexW2929034397

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.