Evidence map›Paper›PMID 28500199›Full record

ArticleCanadian family physician Medecin de famille canadien2017

Data quality in electronic medical records in Manitoba: Do problem lists reflect chronic disease as defined by prescriptions?

Alexander Singer, Andrea L Kroeker, Sari Yakubovich, Roberto Duarte, Brenden Dufault, Alan Katz

Abstract read
In one paragraph

Article in Canadian family physician Medecin de famille canadien, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
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  9. Validation of a primary care electronic medical records case definition for eczema: retrospective cross-sectional study.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2023
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  16. Does not compute.Canadian family physician Medecin de famille canadien · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Alexander SingerFamily physician, Assistant Professor in the Department of Family Medicine at the University of Manitoba in Winnipeg, and a network director for the Manitoba Primary Care Research Network. asinger@sbgh.mb.ca.
Andrea L KroekerResearch associate in the Department of Immunology at the University of Manitoba.
Sari YakubovichMedical student at the University of Manitoba at the time of the study and is currently an anesthesia resident at McMaster University in Hamilton, Ont.
Roberto DuartePharmacy student at the University of Manitoba.
Brenden DufaultBiostatistical consultant for the Biostatistics Group at the University of Manitoba.
Alan KatzProfessor in the Department of Family Medicine and the Department of Community Health Sciences at the University of Manitoba, Director of the Manitoba Centre for Health Policy, and Manitoba Heart and Stroke Chair in Primary Prevention Research.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine if the problem list (health conditions) in primary care electronic medical records (EMRs) accurately reflects the conditions for which chronic medications are prescribed in the EMR.

designA retrospective analysis of EMR data.

settingEighteen primary care clinics across rural and urban Manitoba using the Accuro EMR.

participantsData from the EMRs of active patients seen in an 18-month period (December 18, 2011, to June 18, 2013, or December 3, 2012, to June 3, 2014) were used.

main outcome measuresThe likelihood of documentation in the EMR problem list of those specific chronic diseases for which drug prescriptions were documented in the EMR. Regression modeling was performed to determine the effect of clinic patient load and remuneration type on the completeness of EMR problem lists.

resultsOverall problem-list completeness was low but was highest for diabetes and lowest for insomnia. Fee-for-service clinics generally had lower problem-list completeness than salaried clinics did for all prescription medications examined. Panel size did not affect problem-list completeness rates.

conclusionThe low EMR problem-list completeness suggests that this field is not reliable for use in quality improvement initiatives or research until higher reliability has been demonstrated. Further research is recommended to explore the reasons for the poor quality and to support improvement efforts.

Indexed as

Data AccuracyChronic DiseaseElectronic Health RecordsForms and Records ControlHumansManitobaOdds RatioPrimary Health CareQuality ImprovementRegression AnalysisRetrospective Studies

Identifiers

PMID28500199
PMCPMC5429058

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.