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Adoption and non-adoption of a shared electronic summary record in England: a mixed-method case study
Open accessAbstract
OBJECTIVE: To evaluate a national programme to develop and implement centrally stored electronic summaries of patients' medical records. DESIGN: Mixed-method, multilevel case study. SETTING: English National Health Service 2007-10. The summary care record (SCR) was introduced as part of the National Programme for Information Technology. This evaluation of the SCR considered it in the context of national policy and its frontline implementation and use in three districts. Participants and methods Quantitative data (cumulative records created nationally plus a dataset of 416 325 encounters in participating primary care out-of-hours and walk-in centres) were analysed statistically. Qualitative data (140 interviews including policy makers, managers, clinicians, and software suppliers; 2000 pages of ethnographic field notes including observation of 214 clinical consultations; and 3000 pages of documents) were analysed thematically and interpretively. RESULTS: Creating individual SCRs and supporting their adoption and use was a complex, technically challenging, and labour intensive process that occurred more slowly than planned. By early 2010, 1.5 million such records had been created. In participating primary care out-of-hours and walk-in centres, an SCR was accessed in 4% of all encounters and in 21% of encounters where one was available; these figures were rising in some but not all sites. The main determinant of SCR access was the identity of the clinician: individual clinicians accessed available SCRs between 0 and 84% of the time. When accessed, an SCR seemed to support better quality care and increase clinician confidence in some encounters. There was no direct evidence of improved safety, but findings were consistent with a rare but important positive impact on preventing medication errors. SCRs sometimes contained incomplete or inaccurate data, but clinicians drew judiciously on these data along with other sources. SCR use was not associated with shorter consultations or reduction in onward referral. Successful introduction of SCRs depended on interaction between multiple stakeholders from different worlds (clinical, political, technical, commercial) with different values, priorities, and ways of working. The programme's fortunes seemed to turn on the ability of change agents to bridge these different institutional worlds, align their conflicting logics, and mobilise implementation effort. CONCLUSIONS: Benefits of centrally stored electronic summary records seem more subtle and contingent than many stakeholders anticipated, and clinicians may not access them. Complex interdependencies, inherent tensions, and high implementation workload should be expected when they are introduced on a national scale.
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“Information and communication technology (ICT) programmes in health care fail partly because people do not use the technologies.”
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“Analysis of a large quantitative data set on out-of-hours encounters showed that even when SCRs were available as a one-click option, clinicians working in unscheduled care settings accessed them in only one case in five.8”
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“and conflicting interpretations of the programme by clinicians, service users, policy-makers, industry and technical designers.8,11”
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Metadata
- Authors
- Greenhalgh, T., Stramer, K., Bratan, T., Byrne, E., Russell, J., & Potts, H. W. W.
- Affiliations
- Queen Mary University of London (GB)
- University College London (GB)
- Corresponding author
- Greenhalgh, T.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2010-06-16
- Volume
- 340
- Issue
- jun16 4
- Pages
- c3111-c3111
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- OpenAlex
- W2093551211
- Cited by
- 275
- References
- 44
- Citations by year
- 2026: 8 · 2025: 27 · 2024: 8 · 2023: 7 · 2022: 10 · 2021: 5 · 2020: 12 · 2019: 12 · 2018: 13 · 2017: 13 · 2016: 20 · 2015: 16 · 2014: 29 · 2013: 30 · 2012: 22
- FWCI
- 55.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- BMJ (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Keywords
- Summary Care Record, electronic health records, health information technology adoption, walk-in centres, medication errors, quality of care, stakeholder interaction, change agents, health policy evaluation
- MeSH terms
- Data Collection, England, Humans, Program Evaluation, Medical Records Systems, Computerized, Qualitative Research, Clinical Governance
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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