Literature DB >> 22351711

Effect of adding systematic family history enquiry to cardiovascular disease risk assessment in primary care: a matched-pair, cluster randomized trial.

Nadeem Qureshi1, Sarah Armstrong, Paula Dhiman, Paula Saukko, Joan Middlemass, Philip H Evans, Joe Kai.   

Abstract

BACKGROUND: Evidence of the value of systematically collecting family history in primary care is limited.
OBJECTIVE: To evaluate the feasibility of systematically collecting family history of coronary heart disease in primary care and the effect of incorporating these data into cardiovascular risk assessment.
DESIGN: Pragmatic, matched-pair, cluster randomized, controlled trial. (International Standardized Randomized Controlled Trial Number Register: ISRCTN 17943542).
SETTING: 24 family practices in the United Kingdom. PARTICIPANTS: 748 persons aged 30 to 65 years with no previously diagnosed cardiovascular risk, seen between July 2007 and March 2009. INTERVENTION: Participants in control practices had the usual Framingham-based cardiovascular risk assessment with and without use of existing family history information in their medical records. Participants in intervention practices also completed a questionnaire to systematically collect their family history. All participants were informed of their risk status. Participants with high cardiovascular risk were invited for a consultation. MEASUREMENTS: The primary outcome was the proportion of participants with high cardiovascular risk (10-year risk ≥ 20%). Other measures included questionnaire completion rate and anxiety score.
RESULTS: 98% of participants completed the family history questionnaire. The mean increase in proportion of participants classified as having high cardiovascular risk was 4.8 percentage points in the intervention practices, compared with 0.3 percentage point in control practices when family history from patient records was incorporated. The 4.5-percentage point difference between groups (95% CI, 1.7 to 7.2 percentage points) remained significant after adjustment for participant and practice characteristics (P = 0.007). Anxiety scores were similar between groups. LIMITATIONS: Relatively few participants were from ethnic minority or less-educated groups. The potential to explore behavioral change and clinical outcomes was limited. Many data were missing for anxiety scores.
CONCLUSION: Systematically collecting family history increases the proportion of persons identified as having high cardiovascular risk for further targeted prevention and seems to have little or no effect on anxiety. PRIMARY FUNDING SOURCE: Genetics Health Services Research program of the United Kingdom Department of Health.

Entities:  

Mesh:

Year:  2012        PMID: 22351711     DOI: 10.7326/0003-4819-156-4-201202210-00002

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  45 in total

1.  Association between family history and coronary heart disease death across long-term follow-up in men: the Cooper Center Longitudinal Study.

Authors:  Justin M Bachmann; Benjamin L Willis; Colby R Ayers; Amit Khera; Jarett D Berry
Journal:  Circulation       Date:  2012-05-23       Impact factor: 29.690

2.  The relationship of a family history for hypertension, myocardial infarction, or stroke with cardiovascular physiology in young women.

Authors:  Carole A McBride; Sarah A Hale; Meenakumari Subramanian; Gary J Badger; Ira M Bernstein
Journal:  Reprod Sci       Date:  2013-09-10       Impact factor: 3.060

3.  Implications of genetic testing in noncompaction/hypertrabeculation.

Authors:  Joseph T C Shieh
Journal:  Am J Med Genet C Semin Med Genet       Date:  2013-07-10       Impact factor: 3.908

4.  Surgeon General's perspectives: family health history:using the past to improve future health.

Authors:  Boris D Lushniak
Journal:  Public Health Rep       Date:  2015 Jan-Feb       Impact factor: 2.792

5.  Current use and costs of electronic health records for clinical trial research: a descriptive study.

Authors:  Kimberly A Mc Cord; Hannah Ewald; Aviv Ladanie; Matthias Briel; Benjamin Speich; Heiner C Bucher; Lars G Hemkens
Journal:  CMAJ Open       Date:  2019-02-03

6.  Digital Family History Data Mining with Neural Networks: A Pilot Study.

Authors:  Robert Hoyt; Steven Linnville; Stephen Thaler; Jeffrey Moore
Journal:  Perspect Health Inf Manag       Date:  2016-01-01

7.  Applying family analyses to electronic health records to facilitate genetic research.

Authors:  Xiayuan Huang; Robert C Elston; Guilherme J Rosa; John Mayer; Zhan Ye; Terrie Kitchner; Murray H Brilliant; David Page; Scott J Hebbring
Journal:  Bioinformatics       Date:  2018-02-15       Impact factor: 6.937

Review 8.  Family history of cardiovascular disease, perceived cardiovascular disease risk, and health-related behavior: a review of the literature.

Authors:  Christopher C Imes; Frances Marcus Lewis
Journal:  J Cardiovasc Nurs       Date:  2014 Mar-Apr       Impact factor: 2.083

9.  Comparing electronic health record portals to obtain patient-entered family health history in primary care.

Authors:  Michael F Murray; Monica A Giovanni; Elissa Klinger; Elise George; Lucas Marinacci; George Getty; Phyllis Brawarsky; Beatriz Rocha; E John Orav; David W Bates; Jennifer S Haas
Journal:  J Gen Intern Med       Date:  2013-04-16       Impact factor: 5.128

Review 10.  Stroke risk calculators in the era of electronic health records linked to administrative databases.

Authors:  Adam Richards; Eric M Cheng
Journal:  Stroke       Date:  2012-11-29       Impact factor: 7.914

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