Evidence map›Paper›PMID 31864370›Full record

ReviewBMC health services research2019

Why does the NHS struggle to adopt eHealth innovations? A review of macro, meso and micro factors.

Sheena Asthana, Ray Jones, Rod Sheaff

Abstract readReview
In one paragraph

Review in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 4 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.

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

52 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

3 authors.

Sheena AsthanaSchool of Law, Criminology and Government, University of Plymouth, Plymouth, UK. S.Asthana@plymouth.ac.uk.ORCID http://orcid.org/0000-0002-1483-2719
Ray JonesSchool of Nursing and Midwifery, University of Plymouth, Plymouth, UK.
Rod SheaffSchool of Law, Criminology and Government, University of Plymouth, Plymouth, UK.

Funding

European Regional Development Fund 05R16P00385
6 · The paper itself

Abstract

backgroundHaving a tax-funded and supposedly 'National' Health Service (NHS), one might assume that the UK is well-positioned to roll out eHealth innovations at scale. Yet, despite a strong policy push, the English NHS has been limited in the extent to which it has exploited the potential of eHealth. MAIN BODY: This paper considers a range of macro, meso and micro factors influencing eHealth innovation in the English NHS.

conclusionsWhile barriers to eHealth innovation exist at all scales, the fragmentation of the NHS is the most significant factor limiting adoption and diffusion. Rather than addressing problems of fragmentation, national policy seems to have intensified the digital divide. As the recently published NHS Long Term Plan places great emphasis on the role of digital transformation in helping health and care professionals communicate better and enabling people to access the care they need quickly and easily, the implications for the digital divide are likely to be significant for effectiveness, efficiency and equity.

Indexed as

Diffusion of InnovationEnglandHumansState MedicineTelemedicineBarriers to eHealthDigital policyeHealthInnovationNHS

Identifiers

PMID31864370
PMCPMC6925468

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.