Evidence map›Paper›PMID 32628118›Full record

ArticleJMIR mHealth and uHealth2020

Barriers and Facilitators to the Adoption of Mobile Health Among Health Care Professionals From the United Kingdom: Discrete Choice Experiment.

Simon Leigh, Liz Ashall-Payne, Tim Andrews

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05449561 (Beyond Efficacy- Eliciting Preference for Face-to-face and Internet-based Psychotherapy Among People with Depression), which is not on this map. Cited by 47 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 6 pooled it
9.7field-weighted citation impact, top 2% 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.

NCT05449561 completednot on this mapstarted 2022, after this paper: background citation

Beyond Efficacy- Eliciting Preference for Face-to-face and Internet-based Psychotherapy Among People with Depression: Using Discrete Choice Experiment to Advance Future Service Implementation

TypeobservationalSponsorChinese University of Hong KongRan2022 to 2023Enrolled20ConditionsDepression
3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 6 syntheses or guidelines pooled it, 81 citations in OpenAlex.

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  7. Understanding patient priorities in teledermatology for psoriasis: A discrete choice experiment.Journal of the European Academy of Dermatology and Venereology : JEADV · 2025
    Trial
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  9. Unraveling acceptance of healthcare innovations in neurorehabilitation: results from a discrete choice experiment.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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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 at 1 institution in 1 country.

Simon LeighThe Organisation for the Review of Care and Health Applications, Daresbury, United Kingdom.ORCID 0000-0002-6843-6447
Liz Ashall-PayneThe Organisation for the Review of Care and Health Applications, Daresbury, United Kingdom.ORCID 0000-0001-7325-195X
Tim AndrewsThe Organisation for the Review of Care and Health Applications, Daresbury, United Kingdom.ORCID 0000-0002-0258-5108
Kleijnen Systematic Reviews (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the increasing availability of mobile health services, clinical engagement remains minimal.

objectiveThis study aims to identify and weight barriers to and drivers of health app use among health care professionals (HCPs) from the United Kingdom.

methodsA discrete choice experiment was conducted with 222 HCPs using a web-based survey between March 2019 and June 2019. Participants were recruited to take part via social media and asked to choose their preferred option of 2 hypothetical health apps to prescribe to a hypothetical patient or to prescribe neither. Choices were characterized by differing levels of patient age, cost, published evidence bases, whether they had a National Health Service (NHS) stamp of approval, personal familiarity with the technology, and whether they were recommended by a fellow HCP. The results were analyzed using a mixed logit model, with subgroup analyses to account for heterogeneity.

resultsWe received 230 responses, a total of 96.5% (n=222/230) of respondents understood the survey task and passed the test of rationality. The median age was between 36 and 45 years, and 62.6% (n=139/222) of the health care providers responding to the survey had previously recommended the use of health apps to patients. Health apps were most likely to be prescribed to patients if they had an NHS stamp of approval or if they were recommended by another HCP (both P<.001). Published studies detailing clinical effectiveness were important (P<.001), but it would take five published studies to have the same impact on prescribing behavior as an NHS stamp of approval and two studies to be as convincing as having used the technology personally. Increasing patient age and costs resulted in significant reductions in digital health prescribing (P<.001), none more so than among allied health professionals. Willingness-to-pay for health apps increased by £124.61 (US $151.14) if an NHS stamp of approval was present and by £29.20 (US $35.42) for each published study. Overall, 8.1% (n=18/222) of respondents were reluctant to use health apps, always choosing the I would prescribe neither option, particularly among older HCPs, nurses, and those who do not use health apps personally. Subgroup analyses revealed significant differences in preferences among HCPs of differing ages and clinical backgrounds.

conclusionsAn NHS stamp of approval, published studies, and recommendations from fellow HCPs are significant facilitators of digital prescribing, whereas increasing costs and patient age are significant barriers to engagement. These findings suggest that demonstrating assurances of health apps and supporting both the dissemination and peer-to-peer recommendation of evidence-based technologies are critical if the NHS is to achieve its long-term digital transformation ambitions.

Indexed as

State MedicineTelemedicineAdultHealth PersonnelHumansMiddle AgedSurveys and QuestionnairesUnited Kingdomdigital healthdiscrete-choicemHealthmobile phonepreferences

Identifiers

PMID32628118
PMCPMC7381009
OpenAlexW3020142660

What OpenQuestion holds

Textmetadata
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.