Evidence map›Paper›PMID 32460830›Full record

ReviewBMC health services research2020

Theoretical and methodological considerations in evaluating large-scale health information technology change programmes.

Kathrin Cresswell, Aziz Sheikh, Bryony Dean Franklin, Marta Krasuska, Hung The Nguyen, Susan Hinder, Wendy Lane, Hajar Mozaffar, Kathy Mason, Sally Eason and 2 more

Abstract readReview
In one paragraph

Review in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Tensions in large-scale electronic health record implementations: insights from a meta-synthesis.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
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  11. Innovative solutions for disease management.Bioelectronic medicine · 2023
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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

12 authors.

Kathrin CresswellUsher Institute, The University of Edinburgh, Edinburgh, UK. Kathrin.beyer@ed.ac.uk.ORCID http://orcid.org/0000-0001-6634-9537
Aziz SheikhUsher Institute, The University of Edinburgh, Edinburgh, UK.
Bryony Dean FranklinUniversity College London School of Pharmacy, London, UK.
Marta KrasuskaUsher Institute, The University of Edinburgh, Edinburgh, UK.
Hung The NguyenInstitute for the Study of Science, Technology and Innovation, The University of Edinburgh, Edinburgh, UK.
Susan HinderInstitute for the Study of Science, Technology and Innovation, The University of Edinburgh, Edinburgh, UK.
Wendy LaneNational Health Services Arden and Greater East Midlands Commissioning Support Unit, Warwick, UK.
Hajar MozaffarBusiness School, The University of Edinburgh, Edinburgh, UK.
Kathy MasonNational Health Services Arden and Greater East Midlands Commissioning Support Unit, Warwick, UK.
Sally EasonNational Health Services Arden and Greater East Midlands Commissioning Support Unit, Warwick, UK.
Henry W W PottsUniversity College London Institute of Health Informatics, London, UK.
Robin WilliamsInstitute for the Study of Science, Technology and Innovation, The University of Edinburgh, Edinburgh, UK.

Funding

NHS England GDE
6 · The paper itself

Abstract

backgroundAttempts to achieve digital transformation across the health service have stimulated increasingly large-scale and more complex change programmes. These encompass a growing range of functions in multiple locations across the system and may take place over extended timeframes. This calls for new approaches to evaluate these programmes. MAIN BODY: Drawing on over a decade of conducting formative and summative evaluations of health information technologies, we here build on previous work detailing evaluation challenges and ways to tackle these. Important considerations include changing organisational, economic, political, vendor and markets necessitating tracing of evolving networks, relationships, and processes; exploring mechanisms of spread; and studying selected settings in depth to understand local tensions and priorities.

conclusionsDecision-makers need to recognise that formative evaluations, if built on solid theoretical and methodological foundations, can help to mitigate risks and help to ensure that programmes have maximum chances of success.

Indexed as

Diffusion of InnovationModels, TheoreticalEvaluation Studies as TopicHumansMedical InformaticsEvaluationHealth information technologyImplementation

Identifiers

PMID32460830
PMCPMC7254705

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.