Evidence map›Paper›PMID 25590980›Full record

Trial reportGenetics in medicine : official journal of the American College of Medical Genetics2015

Acceptability and feasibility of a virtual counselor (VICKY) to collect family health histories.

Catharine Wang, Timothy Bickmore, Deborah J Bowen, Tricia Norkunas, MaryAnn Campion, Howard Cabral, Michael Winter, Michael Paasche-Orlow

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Genetics in medicine : official journal of the American College of Medical Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Family history tools for primary care: A systematic review.The European journal of general practice · 2022
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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

8 authors.

Catharine WangDepartment of Community Health Sciences, Boston University School of Public Health, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0001-8584-2781
Timothy BickmoreNortheastern University College of Computer and Information Science, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0002-2676-9788
Deborah J BowenDepartment of Bioethics & Humanities, University of Washington School of Medicine, Seattle, Washington, USA.
Tricia NorkunasDepartment of Community Health Sciences, Boston University School of Public Health, Boston, Massachusetts, USA.
MaryAnn CampionMaster of Science Program in Genetic Counseling, Boston University School of Medicine, Boston, Massachusetts, USA.
Howard CabralDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.
Michael WinterData Coordinating Center, Boston University School of Public Health, Boston, Massachusetts, USA.
Michael Paasche-OrlowGeneral Internal Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025771 · NCRR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CENTER, DAVID M. · 2008 to 2011
$17.6M
Using virtual counselors to overcome genetic literacy barriers: Project VICKYR01HG007746 · NHGRI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WANG, CATHARINE · 2014 to 2018
$2.5M
Communication of Genetic and Environmental Risks in Colorectal Cancer PreventionK07CA131103 · NCI · FOX CHASE CANCER CENTER · PI WANG, CATHARINE · 2008 to 2012
$674k
NCI NIH HHS K07 CA131103NCRR NIH HHS UL1 RR025771NCRR NIH HHS UL1RR025771NHGRI NIH HHS R01 HG007746
6 · The paper itself

Abstract

purposeTo overcome literacy-related barriers in the collection of electronic family health histories, we developed an animated Virtual Counselor for Knowing your Family History, or VICKY. This study examined the acceptability and accuracy of using VICKY to collect family histories from underserved patients as compared with My Family Health Portrait (MFHP).

methodsParticipants were recruited from a patient registry at a safety net hospital and randomized to use either VICKY or MFHP. Accuracy was determined by comparing tool-collected histories with those obtained by a genetic counselor.

resultsA total of 70 participants completed this study. Participants rated VICKY as easy to use (91%) and easy to follow (92%), would recommend VICKY to others (83%), and were highly satisfied (77%). VICKY identified 86% of first-degree relatives and 42% of second-degree relatives; combined accuracy was 55%. As compared with MFHP, VICKY identified a greater number of health conditions overall (49% with VICKY vs. 31% with MFHP; incidence rate ratio (IRR): 1.59; 95% confidence interval (95% CI): 1.13-2.25; P = 0.008), in particular, hypertension (47 vs. 15%; IRR: 3.18; 95% CI: 1.66-6.10; P = 0.001) and type 2 diabetes (54 vs. 22%; IRR: 2.47; 95% CI: 1.33-4.60; P = 0.004).

conclusionThese results demonstrate that technological support for documenting family history risks can be highly accepted, feasible, and effective.

Indexed as

Family HealthGenetic CounselingMedical History TakingPatient Acceptance of Health CareUser-Computer InterfaceAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRegistriesReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID25590980
PMCPMC4503525

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.