Evidence map›Paper›PMID 22723612›Full record

Trial reportBMJ (Clinical research ed.)2012

Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial.

Adam Steventon, Martin Bardsley, John Billings, Jennifer Dixon, Helen Doll, Shashi Hirani, Martin Cartwright, Lorna Rixon, Martin Knapp, Catherine Henderson and 5 more

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in BMJ (Clinical research ed.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03713333 (Implementation of High Definition Screening Using Handheld Imaging and Digital Health Technologies Within a Learning Health System to Identify Cardiovascular Disease at the Point-of-care), which is not on this map. Cited by 224 papers, 19 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
224citing papers in PubMed, 19 pooled it
–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.

NCT03713333 nacompletednot on this mapstarted 2018, after this paper: background citation

Implementation of High Definition Screening Using Handheld Imaging and Digital Health Technologies Within a Learning Health System to Identify Cardiovascular Disease at the Point-of-care: The ASE-INNOVATE Program

TypeinterventionalSponsorScripps HealthRan2018 to 2020Enrolled374ConditionsCardiovascular Diseases, Hypertension, Heart Failure, Atrial FibrillationArmsDigital Health Device Diagnostics
3 · Its place in the literature

Who cites it

224 citing papers in PubMed, 19 syntheses or guidelines pooled it.

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  12. Home telemonitoring and remote feedback between clinic visits for asthma.The Cochrane database of systematic reviews · 2016
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  13. Remote versus face-to-face check-ups for asthma.The Cochrane database of systematic reviews · 2016
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164 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Adam SteventonThe Nuffield Trust, London W1G 7LP, UK. adam.steventon@nuffieldtrust.org.uk
Martin Bardsley
John Billings
Jennifer Dixon
Helen Doll
Shashi Hirani
Martin Cartwright
Lorna Rixon
Martin Knapp
Catherine Henderson
Anne Rogers
Ray Fitzpatrick
Jane Hendy
Stanton Newman
Whole System Demonstrator Evaluation Team

Funding

Department of Health
6 · The paper itself

Abstract

objectiveTo assess the effect of home based telehealth interventions on the use of secondary healthcare and mortality.

designPragmatic, multisite, cluster randomised trial comparing telehealth with usual care, using data from routine administrative datasets. General practice was the unit of randomisation. We allocated practices using a minimisation algorithm, and did analyses by intention to treat.

setting179 general practices in three areas in England.

participants3230 people with diabetes, chronic obstructive pulmonary disease, or heart failure recruited from practices between May 2008 and November 2009.

interventionsTelehealth involved remote exchange of data between patients and healthcare professionals as part of patients' diagnosis and management. Usual care reflected the range of services available in the trial sites, excluding telehealth.

main outcome measureProportion of patients admitted to hospital during 12 month trial period.

resultsPatient characteristics were similar at baseline. Compared with controls, the intervention group had a lower admission proportion within 12 month follow-up (odds ratio 0.82, 95% confidence interval 0.70 to 0.97, P = 0.017). Mortality at 12 months was also lower for intervention patients than for controls (4.6% v 8.3%; odds ratio 0.54, 0.39 to 0.75, P < 0.001). These differences in admissions and mortality remained significant after adjustment. The mean number of emergency admissions per head also differed between groups (crude rates, intervention 0.54 v control 0.68); these changes were significant in unadjusted comparisons (incidence rate ratio 0.81, 0.65 to 1.00, P = 0.046) and after adjusting for a predictive risk score, but not after adjusting for baseline characteristics. Length of hospital stay was shorter for intervention patients than for controls (mean bed days per head 4.87 v 5.68; geometric mean difference -0.64 days, -1.14 to -0.10, P = 0.023, which remained significant after adjustment). Observed differences in other forms of hospital use, including notional costs, were not significant in general. Differences in emergency admissions were greatest at the beginning of the trial, during which we observed a particularly large increase for the control group.

conclusionsTelehealth is associated with lower mortality and emergency admission rates. The reasons for the short term increases in admissions for the control group are not clear, but the trial recruitment processes could have had an effect. TRIAL REGISTRATION NUMBER: International Standard Randomised Controlled Trial Number Register ISRCTN43002091.

Indexed as

General PracticeMortalityTelemedicineAdolescentAdultAgedAged, 80 and overCluster AnalysisEmergency Service, HospitalEnglandFemaleHospitalizationHumansLength of StayLogistic ModelsMale

Identifiers

PMID22723612
PMCPMC3381047

What OpenQuestion holds

Textmetadata
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.