Evidence map›Paper›PMID 26254480›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Delivering digital health and well-being at scale: lessons learned during the implementation of the dallas program in the United Kingdom.

Alison M Devlin, Marilyn McGee-Lennon, Catherine A O'Donnell, Matt-Mouley Bouamrane, Ruth Agbakoba, Siobhan O'Connor, Eleanor Grieve, Tracy Finch, Sally Wyke, Nicholas Watson and 3 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  16. Putting the social back into sociotechnical: Case studies of co-design in digital health.Journal of the American Medical Informatics Association : JAMIA · 2021
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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

13 authors.

Alison M DevlinInstitute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Marilyn McGee-LennonDepartment of Computer and Information Sciences, University of Strathclyde, Glasgow, United Kingdom.
Catherine A O'DonnellInstitute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Matt-Mouley BouamraneDepartment of Computer and Information Sciences, University of Strathclyde, Glasgow, United Kingdom.
Ruth AgbakobaInstitute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Siobhan O'ConnorInstitute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom School of Nursing, Midwifery and Social Work, University of Manchester, United Kingdom.
Eleanor GrieveInstitute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Tracy FinchInstitute of Health & Society, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Sally WykeInstitute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Nicholas WatsonInstitute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Susan BrowneInstitute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Frances S MairInstitute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom frances.mair@glasgow.ac.uk.
"dallas" evaluation team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify implementation lessons from the United Kingdom Delivering Assisted Living Lifestyles at Scale (dallas) program-a large-scale, national technology program that aims to deliver a broad range of digital services and products to the public to promote health and well-being. MATERIALS AND

methodsProspective, longitudinal qualitative research study investigating implementation processes. Qualitative data collected includes semi-structured e-Health Implementation Toolkit-led interviews at baseline/mid-point (n = 38), quarterly evaluation, quarterly technical and barrier and solutions reports, observational logs, quarterly evaluation alignment interviews with project leads, observational data collected during meetings, and ethnographic data from dallas events (n > 200 distinct pieces of qualitative data). Data analysis was guided by Normalization Process Theory, a sociological theory that aids conceptualization of implementation issues in complex healthcare settings.

resultsFive key challenges were identified: 1) The challenge of establishing and maintaining large heterogeneous, multi-agency partnerships to deliver new models of healthcare; 2) The need for resilience in the face of barriers and set-backs including the backdrop of continually changing external environments; 3) The inherent tension between embracing innovative co-design and achieving delivery at pace and at scale; 4) The effects of branding and marketing issues in consumer healthcare settings; and 5) The challenge of interoperability and information governance, when commercial proprietary models are dominant.

conclusionsThe magnitude and ambition of the dallas program provides a unique opportunity to investigate the macro level implementation challenges faced when designing and delivering digital health and wellness services at scale. Flexibility, adaptability, and resilience are key implementation facilitators when shifting to new digitally enabled models of care.

Indexed as

Health Plan ImplementationTelemedicineCommunity Health ServicesHumansPrimary Health CareProspective StudiesState MedicineUnited Kingdomassistive living technologiesconsumer health informaticseHealth implementationelectronic health recordsmHealth

Identifiers

PMID26254480
PMCPMC4713902

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.