Evidence map›Paper›PMID 21267058›Full record

SynthesisPLoS medicine2011

The impact of eHealth on the quality and safety of health care: a systematic overview.

Ashly D Black, Josip Car, Claudia Pagliari, Chantelle Anandan, Kathrin Cresswell, Tomislav Bokun, Brian McKinstry, Rob Procter, Azeem Majeed, Aziz Sheikh

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in PLoS medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04744272 (A Randomised Controlled Feasibility Study to Explore the Efficacy of Digital Self-management Within Secondary Care in an Asthmatic Population), which is not on this map. Cited by 418 papers, 27 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
418citing papers in PubMed, 27 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.

NCT04744272 nawithdrawnnot on this mapstarted 2022, after this paper: background citation

A Randomised Controlled Feasibility Study to Explore the Efficacy of Digital Self-management Within Secondary Care in an Asthmatic Population

TypeinterventionalSponsormy mhealth LtdRan2022 to 2023Enrolled0ConditionsAsthmaArmsmyAsthma
3 · Its place in the literature

Who cites it

418 citing papers in PubMed, 27 syntheses or guidelines pooled it.

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  3. Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023
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358 more citing papers are in PubMed but not listed here.

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

10 authors.

Ashly D BlackeHealth Unit, Department of Primary Care and Public Health, Imperial College London, London, United Kingdom.
Josip Car
Claudia Pagliari
Chantelle Anandan
Kathrin Cresswell
Tomislav Bokun
Brian McKinstry
Rob Procter
Azeem Majeed
Aziz Sheikh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is considerable international interest in exploiting the potential of digital solutions to enhance the quality and safety of health care. Implementations of transformative eHealth technologies are underway globally, often at very considerable cost. In order to assess the impact of eHealth solutions on the quality and safety of health care, and to inform policy decisions on eHealth deployments, we undertook a systematic review of systematic reviews assessing the effectiveness and consequences of various eHealth technologies on the quality and safety of care. METHODS AND

findingsWe developed novel search strategies, conceptual maps of health care quality, safety, and eHealth interventions, and then systematically identified, scrutinised, and synthesised the systematic review literature. Major biomedical databases were searched to identify systematic reviews published between 1997 and 2010. Related theoretical, methodological, and technical material was also reviewed. We identified 53 systematic reviews that focused on assessing the impact of eHealth interventions on the quality and/or safety of health care and 55 supplementary systematic reviews providing relevant supportive information. This systematic review literature was found to be generally of substandard quality with regards to methodology, reporting, and utility. We thematically categorised eHealth technologies into three main areas: (1) storing, managing, and transmission of data; (2) clinical decision support; and (3) facilitating care from a distance. We found that despite support from policymakers, there was relatively little empirical evidence to substantiate many of the claims made in relation to these technologies. Whether the success of those relatively few solutions identified to improve quality and safety would continue if these were deployed beyond the contexts in which they were originally developed, has yet to be established. Importantly, best practice guidelines in effective development and deployment strategies are lacking.

conclusionsThere is a large gap between the postulated and empirically demonstrated benefits of eHealth technologies. In addition, there is a lack of robust research on the risks of implementing these technologies and their cost-effectiveness has yet to be demonstrated, despite being frequently promoted by policymakers and "techno-enthusiasts" as if this was a given. In the light of the paucity of evidence in relation to improvements in patient outcomes, as well as the lack of evidence on their cost-effectiveness, it is vital that future eHealth technologies are evaluated against a comprehensive set of measures, ideally throughout all stages of the technology's life cycle. Such evaluation should be characterised by careful attention to socio-technical factors to maximise the likelihood of successful implementation and adoption.

Indexed as

Delivery of Health CareMedical InformaticsQuality of Health CareReview Literature as TopicCost-Benefit AnalysisEfficiency, OrganizationalElectronic Health RecordsElectronic PrescribingHealth PolicyRadiology Information Systems

Identifiers

PMID21267058
PMCPMC3022523

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.