Evidence map›Paper›PMID 11397747›Full record

ArticleBMJ (Clinical research ed.)2001

A survey of validity and utility of electronic patient records in a general practice.

A Hassey, D Gerrett, A Wilson

Abstract readValidation Study
In one paragraph

Article in BMJ (Clinical research ed.), 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 3 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

53 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Improving management of hypertension in general practice: a randomised controlled trial of feedback derived from electronic patient data.The British journal of general practice : the journal of the Royal College of General Practitioners · 2005
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  11. Review
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  16. The Burden of Chronic Heart Failure in Primary Care in Italy.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2017
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

A HasseyFisher Medical Centre, Millfields, Skipton BD23 1EU. alan.hassey@btinternet.com
D Gerrett
A Wilson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop methods of measuring the validity and utility of electronic patient records in general practice.

designA survey of the main functional areas of a practice and use of independent criteria to measure the validity of the practice database.

settingA fully computerised general practice in Skipton, north Yorkshire. SUBJECTS: The records of all registered practice patients.

main outcome measuresValidity of the main functional areas of the practice clinical system. Measures of the completeness, accuracy, validity, and utility of the morbidity data for 15 clinical diagnoses using recognised diagnostic standards to confirm diagnoses and identify further cases. Development of a method and statistical toolkit to validate clinical databases in general practice.

resultsThe practice electronic patient records were valid, complete, and accurate for prescribed items (99.7%), consultations (98.1%), laboratory tests (100%), hospital episodes (100%), and childhood immunisations (97%). The morbidity data for 15 clinical diagnoses were complete (mean sensitivity=87%) and accurate (mean positive predictive value=96%). The presence of the Read codes for the 15 diagnoses was strongly indicative of the true presence of those conditions (mean likelihood ratio=3917). New interpretations of descriptive statistics are described that can be used to estimate both the number of true cases that are unrecorded and quantify the benefits of validating a clinical database for coded entries.

conclusionThis study has developed a method and toolkit for measuring the validity and utility of general practice electronic patient records.

Indexed as

Databases, FactualEnglandFamily PracticeHumansLikelihood FunctionsMedical Records Systems, ComputerizedMorbiditySensitivity and Specificity

Identifiers

PMID11397747
PMCPMC32256

What OpenQuestion holds

Textmetadata
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.