Evidence map›Paper›PMID 26842270›Full record

Observational studyBMJ open2016

Effect of telehealth on hospital utilisation and mortality in routine clinical practice: a matched control cohort study in an early adopter site.

Adam Steventon, Cono Ariti, Elizabeth Fisher, Martin Bardsley

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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.

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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Telehealth in emergency medicine: A consensus conference to map the intersection of telehealth and emergency medicine.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2021
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Adam SteventonData Analytics, The Health Foundation, London, UK.
Cono AritiData Analytics, The Health Foundation, London, UK.
Elizabeth FisherThe Nuffield Trust, London, UK.
Martin BardsleyThe Nuffield Trust, London, UK.
Health Foundation · GBNuffield Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the effects of a home-based telehealth intervention on the use of secondary healthcare and mortality.

designObservational study of a mainstream telehealth service, using person-level administrative data. Time to event analysis (Cox regression) was performed comparing telehealth patients with controls who were matched using a machine-learning algorithm.

settingA predominantly rural region of England (North Yorkshire).

participants716 telehealth patients were recruited from community, general practice and specialist acute care, between June 2010 and March 2013. Patients had chronic obstructive pulmonary disease, congestive heart failure or diabetes, and a history of associated inpatient admission. Patients were matched 1:1 to control patients, also selected from North Yorkshire, with respect to demographics, diagnoses of health conditions, previous hospital use and predictive risk score.

interventionsTelehealth involved the remote exchange of medical data between patients and healthcare professionals as part of the ongoing management of the patient's health condition. Monitoring centre staff alerted healthcare professionals if the telemonitored data exceeded preset thresholds. Control patients received usual care, without telehealth. PRIMARY AND SECONDARY OUTCOME MEASURES: Time to the first emergency (unplanned) hospital admission or death. Secondary metrics included time to death and time to first admission, outpatient attendance and emergency department visit.

resultsMatched controls and telehealth patients were similar at baseline. Following enrolment, telehealth patients were more likely than matched controls to experience emergency admission or death (adjusted HR 1.34, 95% CI 1.16 to 1.56, p<0.001). They were also more likely to have outpatient attendances (adjusted HR=1.25, 1.11 to 1.40, p<0.001), but mortality rates were similar between groups. Sensitivity analyses showed that we were unlikely to have missed reductions in the likelihood of an emergency admission or death because of unobserved baseline differences between patient groups.

conclusionsTelehealth was not associated with a reduction in secondary care utilisation.

Indexed as

AgedConfounding Factors, EpidemiologicDiabetes MellitusEmergency Service, HospitalEnglandFemaleHeart FailureHospitalizationHumansMaleOutpatient Clinics, HospitalPulmonary Disease, Chronic ObstructiveRetrospective StudiesRural PopulationTelemedicinePREVENTIVE MEDICINE

Identifiers

PMID26842270
PMCPMC4746461
OpenAlexW2283455598

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.