Trial reportThorax2018
Home treatment of COPD exacerbation selected by DECAF score: a non-inferiority, randomised controlled trial and economic evaluation.
Trial report in Thorax, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04330378 (A Hospital-at-Home Pilot in Singapore), which is not on this map. Cited by 34 papers, 10 of them syntheses that pooled 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.
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.
A Hospital-at-Home Pilot in Singapore: A Prospective Quasi-Experimental Cohort Study
Who cites it
34 citing papers in PubMed, 10 syntheses or guidelines pooled it.
- What is the evidence for virtual wards or hospital-at-home care pathways for exacerbations of chronic obstructive pulmonary disease? A systematic review and meta-analysis.BMJ open respiratory research · 2026Pooled it
- Virtual healthcare compared to hospital care for acute and post-acute illness in adults: A systematic review and meta-analysis of randomized controlled trials.British journal of clinical pharmacology · 2026Pooled it
- Chronic Obstructive Pulmonary Disease and the Management of Cardiopulmonary Risk in the UK: A Systematic Literature Review and Modified Delphi Study.International journal of chronic obstructive pulmonary disease · 2025Pooled it
- Inpatient-level care at home delivered by virtual wards and hospital at home: a systematic review and meta-analysis of complex interventions and their components.BMC medicine · 2024Pooled it
- Factors influencing the implementation of early discharge hospital at home and admission avoidance hospital at home: a qualitative evidence synthesis.The Cochrane database of systematic reviews · 2024Pooled it
- Admission avoidance hospital at home.The Cochrane database of systematic reviews · 2024Pooled it
- Acute care models for older people living with frailty: a systematic review and taxonomy.BMC geriatrics · 2023Pooled it
- Hospital-at-Home Interventions vs In-Hospital Stay for Patients With Chronic Disease Who Present to the Emergency Department: A Systematic Review and Meta-analysis.JAMA network open · 2021Pooled it
- Pooled it
- Prognostic models for outcome prediction in patients with chronic obstructive pulmonary disease: systematic review and critical appraisal.BMJ (Clinical research ed.) · 2019Pooled it
- Trial
- Hospital at Home vs conventional hospitalization: good clinical outcomes with lower cost and nosocomial complications.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026Observational
- Hypercapnia, Prognostic Nutritional Index and Length of Stay in Acute Exacerbation of COPD: A Two-Variable Admission Framework.Diagnostics (Basel, Switzerland) · 2026Article
- Commissioners' views and experiences of implementing virtual wards in Integrated Care Systems in England: a longitudinal qualitative study using the Consolidated Framework for Implementation Research (CFIR).BMC health services research · 2026Article
- Transforming acute care: a scoping review on the effectiveness, safety and implementation challenges of Hospital-at-Home models.BMJ open · 2025Article
- Determining what patients admitted with a chronic obstructive pulmonary disease (COPD) exacerbation will use for remote clinical monitoring: a patient engagement survey.BMJ open respiratory research · 2025Article
- Article
- Article
- Acute Kidney Injury Survivor Remote Patient Monitoring: A Single Center's Experience and an Effectiveness Evaluation.Kidney medicine · 2024Article
- The value of admission avoidance: cost-consequence analysis of one-year activity in a consolidated service.Cost effectiveness and resource allocation : C/E · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundPrevious models of Hospital at Home (HAH) for COPD exacerbation (ECOPD) were limited by the lack of a reliable prognostic score to guide patient selection. Approximately 50% of hospitalised patients have a low mortality risk by DECAF, thus are potentially suitable.
methodsIn a non-inferiority randomised controlled trial, 118 patients admitted with a low-risk ECOPD (DECAF 0 or 1) were recruited to HAH or usual care (UC). The primary outcome was health and social costs at 90 days.
resultsMean 90-day costs were £1016 lower in HAH, but the one-sided 95% CI crossed the non-inferiority limit of £150 (CI -2343 to 312). Savings were primarily due to reduced hospital bed days: HAH=1 (IQR 1-7), UC=5 (IQR 2-12) (P=0.001). Length of stay during the index admission in UC was only 3 days, which was 2 days shorter than expected. Based on quality-adjusted life years, the probability of HAH being cost-effective was 90%. There was one death within 90 days in each arm, readmission rates were similar and 90% of patients preferred HAH for subsequent ECOPD.
conclusionHAH selected by low-risk DECAF score was safe, clinically effective, cost-effective, and preferred by most patients. Compared with earlier models, selection is simpler and approximately twice as many patients are eligible. The introduction of DECAF was associated with a fall in UC length of stay without adverse outcome, supporting use of DECAF to direct early discharge. TRIAL REGISTRATION NUMBER: Registered prospectively ISRCTN29082260.
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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.