Evidence map›Paper›PMID 29490968›Full record

ArticleBMJ open2018

Spatial distribution of clinical computer systems in primary care in England in 2016 and implications for primary care electronic medical record databases: a cross-sectional population study.

Evangelos Kontopantelis, Richard John Stevens, Peter J Helms, Duncan Edwards, Tim Doran, Darren M Ashcroft

Abstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Consultations with locum doctors in UK general practice: longitudinal analysis of electronic health records.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. Article

16 more citing papers are in PubMed but not listed here.

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

6 authors.

Evangelos KontopantelisNIHR School for Primary Care Research, University of Manchester, Manchester, UK.ORCID 0000-0001-6450-5815
Richard John StevensNuffield Department of Health Care Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-9258-4060
Peter J HelmsThe Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
Duncan EdwardsDepartment of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Tim DoranDepartment of Health Sciences, University of York, York, UK.
Darren M AshcroftNIHR School for Primary Care Research, University of Manchester, Manchester, UK.

Funding

Department of Health DRF-2013-06-049Medical Research Council MC_PC_13042Medical Research Council MR/K006665/1
6 · The paper itself

Abstract

objectivesUK primary care databases (PCDs) are used by researchers worldwide to inform clinical practice. These databases have been primarily tied to single clinical computer systems, but little is known about the adoption of these systems by primary care practices or their geographical representativeness. We explore the spatial distribution of clinical computing systems and discuss the implications for the longevity and regional representativeness of these resources.

designCross-sectional study.

settingEnglish primary care clinical computer systems.

participants7526 general practices in August 2016.

methodsSpatial mapping of family practices in England in 2016 by clinical computer system at two geographical levels, the lower Clinical Commissioning Group (CCG, 209 units) and the higher National Health Service regions (14 units). Data for practices included numbers of doctors, nurses and patients, and area deprivation.

resultsOf 7526 practices, Egton Medical Information Systems (EMIS) was used in 4199 (56%), SystmOne in 2552 (34%) and Vision in 636 (9%). Great regional variability was observed for all systems, with EMIS having a stronger presence in the West of England, London and the South; SystmOne in the East and some regions in the South; and Vision in London, the South, Greater Manchester and Birmingham.

conclusionsPCDs based on single clinical computer systems are geographically clustered in England. For example, Clinical Practice Research Datalink and The Health Improvement Network, the most popular primary care databases in terms of research outputs, are based on the Vision clinical computer system, used by <10% of practices and heavily concentrated in three major conurbations and the South. Researchers need to be aware of the analytical challenges posed by clustering, and barriers to accessing alternative PCDs need to be removed.

Indexed as

AdultComputer SystemsCross-Sectional StudiesElectronic Health RecordsEnglandFemaleGeneral PracticeHumansMaleMiddle AgedPrimary Health CareSpatial Analysisclinical computer systemscprdelectronic health recordsemisprimary care databasesvision

Identifiers

PMID29490968
PMCPMC5855245

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.