Evidence map›Paper›PMID 28115461›Full record

Trial reportCanadian family physician Medecin de famille canadien2017

Assessing family history of chronic disease in primary care: Prevalence, documentation, and appropriate screening.

June C Carroll, Denise Campbell-Scherer, Joanne A Permaul, Jesse Myers, Donna P Manca, Christopher Meaney, Rahim Moineddin, Eva Grunfeld

Erratum issuedAbstract readComparative StudyMulticenter StudyPragmatic Clinical Trial
In one paragraph

Trial report 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. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Heritability for stroke: Essential for taking family history.Caspian journal of internal medicine · 2020
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Determining Onset for Familial Breast and Colorectal Cancer from Family History Comments in the Electronic Health Record.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  14. Review
  15. Correction.Canadian family physician Medecin de famille canadien · 2017
    Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

June C CarrollProfessor and Sydney G. Frankfort Chair in the Department of Family and Community Medicine of the Sinai Health System at the University of Toronto in Ontario. june.carroll@sinaihealthsystem.ca.
Denise Campbell-SchererAssociate Professor in the Department of Family Medicine at the University of Alberta in Edmonton.
Joanne A PermaulResearch associate in the Ray D. Wolfe Department of Family Medicine in the Sinai Health System.
Jesse MyersSecond-year family medicine resident at Women's College Hospital at the University of Toronto.
Donna P MancaDirector of Research in the Department of Family Medicine Research Program at the University of Alberta.
Christopher MeaneyBiostatistician in the Department of Family and Community Medicine at the University of Toronto.
Rahim MoineddinBiostatistician in the Department of Family and Community Medicine at the University of Toronto.
Eva GrunfeldGiblon Professor and Vice Chair of Research in the Department of Family and Community Medicine at the University of Toronto and Director of Knowledge Translation Research in the Health Services Research Program at the Ontario Institute for Cancer Research.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the proportion of primary care patients who report a family history (FH) of type 2 diabetes, coronary artery disease, breast cancer, or colorectal cancer (CRC); assess concordance of FH information derived from the electronic medical record (EMR) compared with patient-completed health questionnaires; and assess whether appropriate screening was informed by risk based solely on FH.

designData from the BETTER (Building on Existing Tools to Improve Chronic Disease Prevention and Screening in Primary Care) trial were used. Patients were mailed questionnaires. Baseline FH and screening data were obtained for enrolled patients from the EMR and health questionnaires.

settingOntario and Alberta.

participantsRandomly selected patients from 8 family practices.

main outcome measuresAgreement on FH between the EMR and questionnaire was determined; logistic regression was used to assess significant predictors of screening.

resultsIn total, 775 of 789 (98%) patients completed the health questionnaire. The mean age of participants was 52.5 years and 72% were female. A minimum of 12% of patients (range 12% to 36%) had a reported FH of 1 of 4 chronic diseases. Among patients with positive FH, the following proportions of patients had that FH recorded in the EMR compared with the questionnaire: diabetes, 24% in the EMR versus 36% on the questionnaire, κ = 0.466; coronary artery disease, 35% in the EMR versus 22% on the questionnaire, κ = 0.225; breast cancer, 21% in the EMR versus 22% on the questionnaire, κ = 0.241; and CRC, 12% in the EMR versus 14% on the questionnaire, κ = 0.510. There was moderate agreement for diabetes and CRC. The presence of FH was a significant predictor of CRC screening (odds ratio 1.9, 95% CI 1.1 to 3.1).

conclusionA moderate prevalence of FH was found for 4 conditions for which screening recommendations vary with risk based on FH. Having patients self-complete an FH was thought to be feasible; however, questions about FH accuracy and completeness from both self-report and EMR remain. Work is needed to determine how to facilitate the adoption of FH tools into practice as well as strategies linking familial risk to appropriate screening.Trial registration number ISRCTN07170460 (ISRCTN Registry).

Indexed as

AgedAlbertaChronic DiseaseDocumentationElectronic Health RecordsFamily HealthFamily PracticeFemaleHumansLogistic ModelsMaleMass ScreeningMiddle AgedOntarioPrimary Health CareSelf Report

Identifiers

PMID28115461
PMCPMC5257240

What OpenQuestion holds

Textmetadata
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Registered trials

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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.