ArticleBMJ (Clinical research ed.)1991
Use of computerised general practice data for population surveillance: comparative study of influenza data.
Article in BMJ (Clinical research ed.), 1991. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of scope and quality of electronic patient record data in primary care.BMJ (Clinical research ed.) · 2003Pooled it
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- Factors impacting physician use of information charted by others.JAMIA open · 2019Article
- A Data Quality Assessment Guideline for Electronic Health Record Data Reuse.EGEMS (Washington, DC) · 2017Article
- Surveillance and clinical characterization of influenza in a university cohort in Singapore.PloS one · 2015Article
- Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research.Journal of the American Medical Informatics Association : JAMIA · 2013Review
- Performance of case definitions used for influenza surveillance among hospitalized patients in a rural area of India.Bulletin of the World Health Organization · 2012Article
- An evaluation of personal health information remnants in second-hand personal computer disk drives.Journal of medical Internet research · 2007Article
- Changing disease incidence: the consulting room perspective.The British journal of general practice : the journal of the Royal College of General Practitioners · 2006Article
- The quality of record keeping in primary care: a comparison of computerised, paper and hybrid systems.The British journal of general practice : the journal of the Royal College of General Practitioners · 2003Article
- Post-marketing studies: the work of the Drug Safety Research Unit.Drug safety · 1998Article
- Completeness and accuracy of morbidity and repeat prescribing records held on general practice computers in Scotland.The British journal of general practice : the journal of the Royal College of General Practitioners · 1996Article
- Assessment of the completeness and accuracy of computer medical records in four practices committed to recording data on computer.The British journal of general practice : the journal of the Royal College of General Practitioners · 1995Article
- Accuracy of diagnosis of psychosis on general practice computer system.BMJ (Clinical research ed.) · 1993Article
- Targeting asthma care in general practice using a morbidity index.BMJ (Clinical research ed.) · 1992Article
- Computerised general practice data.BMJ (Clinical research ed.) · 1991Article
- Computerised general practice data.BMJ (Clinical research ed.) · 1991Article
- Large computer databases in general practice.BMJ (Clinical research ed.) · 1991Article
- Accuracy of data in computer-based patient records.Journal of the American Medical Informatics Association : JAMIAReview
- Evaluation of the quality of information retrieval of clinical findings from a computerized patient database using a semantic terminological model.Journal of the American Medical Informatics Association : JAMIAArticle
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo assess the potential for using routine computerised general practice data for surveillance of illness.
designComparison of the incidence of influenza during the 1989 epidemic derived from a computerised database with that derived from the Royal College of General Practitioners's weekly returns service--a well established predominantly manual surveillance system.
setting433 general practices throughout the United Kingdom that used a commercial computer system linked to a central databank.
main outcome measureIncidence of influenza.
resultsThe slope of the influenza epidemic curve was essentially the same whether derived from the routine computerised data or royal college's weekly returns service data, and the computerised data were geographically consistent. Throughout the study period, however, the computer derived incidence was between one third and one quarter of that derived from the royal college's system (which is served by practitioners trained in surveillance methods). The peak weekly rates were 164 cases per 100,000 for the computerised system and 583 cases per 100,000 for the royal college's surveillance system.
conclusionsThe apparent underreporting in the routine computerised data probably reflects lack of motivation and experience in disease surveillance and haphazard computer entry (particularly of consultations that took place outside of the surgery and consultations that did not result in a prescription), along with overestimation of the population under surveillance. Nevertheless, routine computerised surveillance allows rapid data collection from a large number of practices over a wide geographical area and would greatly augment existing methods.
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