Evidence map›Paper›PMID 23371384›Full record

ArticleJournal of general internal medicine2013

Use of a web-based risk appraisal tool for assessing family history and lifestyle factors in primary care.

Heather J Baer, Louise I Schneider, Graham A Colditz, Hank Dart, Analisa Andry, Deborah H Williams, E John Orav, Jennifer S Haas, George Getty, Elizabeth Whittemore and 1 more

Abstract readControlled Clinical TrialMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 6 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

21 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Effect of genetics clinical decision support tools on health-care providers' decision making: a mixed-methods systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Pooled it
  4. Pooled it
  5. Genetic cancer risk assessment in general practice: systematic review of tools available, clinician attitudes, and patient outcomes.The British journal of general practice : the journal of the Royal College of General Practitioners · 2019
    Pooled it
  6. Pooled it
  7. Trial
  8. A randomized, controlled trial to increase discussion of breast cancer in primary care.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
    Trial
  9. Article
  10. Commentary: 20 years online with "Your Disease Risk".Cancer causes & control : CCC · 2021
    Article
  11. Article
  12. Translating Cancer Risk Prediction Models into Personalized Cancer Risk Assessment Tools: Stumbling Blocks and Strategies for Success.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Using e-technologies in clinical trials.Contemporary clinical trials · 2015
    Review
  19. Horizon scanning for translational genomic research beyond bench to bedside.Genetics in medicine : official journal of the American College of Medical Genetics · 2014
    Article
  20. General internal medicine as an engine of innovation.Journal of general internal medicine · 2013
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Heather J BaerDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, 1620 Tremont Street, Boston, MA 02120, USA. hbaer@partners.org
Louise I Schneider
Graham A Colditz
Hank Dart
Analisa Andry
Deborah H Williams
E John Orav
Jennifer S Haas
George Getty
Elizabeth Whittemore
David W Bates

Funding

Integrating Patient Generated Family Health History from Varied EHR Entry PortalsRC1HG005331 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI HAAS, JENNIFER S · 2009 to 2010
$996k
Use of Electronic Health Records for Addressing Overweight and Obesity in PrimaryK01HS019789 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI BAER, HEATHER JOANNE · 2010 to 2014
$667k
AHRQ HHS K01 HS019789AHRQ HHS K01HS019789NHGRI NIH HHS 1RC1HG005331NHGRI NIH HHS RC1 HG005331
6 · The paper itself

Abstract

backgroundPrimary care clinicians can play an important role in identifying individuals at increased risk of cancer, but often do not obtain detailed information on family history or lifestyle factors from their patients.

objectiveWe evaluated the feasibility and effectiveness of using a web-based risk appraisal tool in the primary care setting.

designFive primary care practices within an academic care network were assigned to the intervention or control group.

participantsWe included 15,495 patients who had a new patient visit or annual exam during an 8-month period in 2010-2011.

interventionIntervention patients were asked to complete a web-based risk appraisal tool on a laptop computer immediately before their visit. Information on family history of cancer was sent to their electronic health record (EHR) for clinicians to view; if accepted, it populated coded fields and could trigger clinician reminders about colon and breast cancer screening. MAIN MEASURES: The main outcome measure was new documentation of a positive family history of cancer in coded EHR fields. Secondary outcomes included clinician reminders about screening and discussion of family history, lifestyle factors, and screening. KEY

resultsAmong eligible intervention patients, 2.0% had new information on family history of cancer entered in the EHR within 30 days after the visit, compared to 0.6% of eligible control patients (adjusted odds ratio = 4.3, p = 0.03). There were no significant differences in the percent of patients who received moderate or high risk reminders for colon or breast cancer screening.

conclusionsUse of this tool was associated with increased documentation of family history of cancer in the EHR, although the percentage of patients with new family history information was low in both groups. Further research is needed to determine how risk appraisal tools can be integrated with workflow and how they affect screening and health behaviors.

Indexed as

InternetAdultAgedEarly Detection of CancerElectronic Health RecordsFeasibility StudiesFemaleGenetic Predisposition to DiseaseHumansLife StyleMaleMassachusettsMedical History TakingMiddle AgedNeoplasmsPrimary Health Care

Identifiers

PMID23371384
PMCPMC3663959

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.