ArticleBMC health services research2013
Using computer decision support systems in NHS emergency and urgent care: ethnographic study using normalisation process theory.
Article in BMC health services research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.
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The trial behind it
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Who cites it
38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 104 citations in OpenAlex.
- Pooled it
- Application of normalisation process theory in understanding implementation processes in primary care settings in the UK: a systematic review.BMC family practice · 2020Pooled it
- Enablers and barriers to implementing collaborative care for anxiety and depression: a systematic qualitative review.Implementation science : IS · 2016Pooled it
- Decision support in the management of musculoskeletal disorders: a qualitative study of physiotherapists' and patients' experiences.BMC musculoskeletal disorders · 2026Article
- Rethinking barriers and facilitators in implementation science: conceptual, methodological, and practical challenges, and ways forward.Implementation science communications · 2026Article
- Implementation of artificial intelligence-based decision support systems for antibiotic prescribing in hospitals: a Delphi study.Frontiers in digital health · 2025Article
- Institutionalisation of convergent medical innovation: an empirical study of the MRI-guided linear accelerator in the Netherlands and the United States.Innovation (North Sydney, N.S.W.) · 2025Article
- Article
- Views and Uses of Sepsis Digital Alerts in National Health Service Trusts in England: Qualitative Study With Health Care Professionals.JMIR human factors · 2024Article
- Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation.BMC medical informatics and decision making · 2024Article
- The need for digital health education among next-generation health workers in China: a cross-sectional survey on digital health education.BMC medical education · 2023Article
- Clinician interest in clinical decision support for PSA-based prostate cancer screening.Urologic oncology · 2023Article
- Automated Decision Support For Community Mental Health Services Using National Electronic Health Records: Qualitative Implementation Case Study.JMIR human factors · 2022Article
- Barriers to and Facilitators for Acceptance of Comprehensive Clinical Decision Support System-Driven Care Maps for Patients With Thoracic Trauma: Interview Study Among Health Care Providers and Nurses.JMIR human factors · 2022Article
- Translational framework for implementation evaluation and research: a normalisation process theory coding manual for qualitative research and instrument development.Implementation science : IS · 2022Article
- Scale-up of prevention programmes: sustained state-wide use of programme delivery software is explained by normalised self-organised adoption and non-adoption.Implementation science : IS · 2022Article
- The uptake and use of a minimum data set (MDS) for older people living and dying in care homes: a realist review.BMC geriatrics · 2022Article
- Intention to Use Wiki-Based Knowledge Tools: Survey of Quebec Emergency Health Professionals.JMIR medical informatics · 2021Article
- Enhancing trust in clinical decision support systems: a framework for developers.BMJ health & care informatics · 2021Article
- Adopt, adapt, or abandon technology-supported person-centred care initiatives: healthcare providers' beliefs matter.BMC health services research · 2021Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundInformation and communication technologies (ICTs) are often proposed as 'technological fixes' for problems facing healthcare. They promise to deliver services more quickly and cheaply. Yet research on the implementation of ICTs reveals a litany of delays, compromises and failures. Case studies have established that these technologies are difficult to embed in everyday healthcare.
methodsWe undertook an ethnographic comparative analysis of a single computer decision support system in three different settings to understand the implementation and everyday use of this technology which is designed to deal with calls to emergency and urgent care services. We examined the deployment of this technology in an established 999 ambulance call-handling service, a new single point of access for urgent care and an established general practice out-of-hours service. We used Normalization Process Theory as a framework to enable systematic cross-case analysis.
resultsOur data comprise nearly 500 hours of observation, interviews with 64 call-handlers, and stakeholders and documents about the technology and settings. The technology has been implemented and is used distinctively in each setting reflecting important differences between work and contexts. Using Normalisation Process Theory we show how the work (collective action) of implementing the system and maintaining its routine use was enabled by a range of actors who established coherence for the technology, secured buy-in (cognitive participation) and engaged in on-going appraisal and adjustment (reflexive monitoring).
conclusionsHuge effort was expended and continues to be required to implement and keep this technology in use. This innovation must be understood both as a computer technology and as a set of practices related to that technology, kept in place by a network of actors in particular contexts. While technologies can be 'made to work' in different settings, successful implementation has been achieved, and will only be maintained, through the efforts of those involved in the specific settings and if the wider context continues to support the coherence, cognitive participation, and reflective monitoring processes that surround this collective action. Implementation is more than simply putting technologies in place - it requires new resources and considerable effort, perhaps on an on-going basis.
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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.