Evidence map›Paper›PMID 24916850›Full record

ArticleJournal of genetic counseling2014

An internal performance assessment of CancerGene Connect: an electronic tool to streamline, measure and improve the genetic counseling process.

Mary Pritzlaff, Arielle Yorczyk, Linda S Robinson, Sara Pirzadeh-Miller, Tirun Lin, David Euhus, Theodora S Ross

Abstract read
In one paragraph

Article in Journal of genetic counseling, 2014. 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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  8. Racial and Ethnic Disparities in Germline Genetic Testing of Patients With Young-Onset Colorectal Cancer.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 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

7 authors.

Mary PritzlaffDepartment of Cancer Genetics, University of Texas Southwestern Medical Center's Simmons Comprehensive Cancer Center, Dallas and Moncrief Cancer Institute, Dallas, TX, USA.
Arielle Yorczyk
Linda S Robinson
Sara Pirzadeh-Miller
Tirun Lin
David Euhus
Theodora S Ross

Funding

Huntington Interacting Protein-1(HIP1) and the Promotion of NeoplasiaR01CA098730 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI ROSS, THEODORA S · 2003 to 2012
$2.6M
NCI NIH HHS R01 CA098730
6 · The paper itself

Abstract

CancerGene Connect (CGC) is a web-based program that combines the collection of family and medical history, cancer risk assessment, psychosocial assessment, report templates, a result tracking system, and a patient follow up system. The performance of CGC was assessed in several ways: pre-appointment completion data analyzed for demographic and health variables; a time study to assess overall time per case and to compare the data entry by the genetic counselor compared to the patient, and a measured quality assessment of the program via observation and interview of patients. Prior to their appointment, 52.3% of 2,414 patients completed the online patient questionnaire section of CGC. There were significant differences in completion rates among racial and ethnic groups. County hospital patients were less likely to complete the questionnaire than insured patients (p < 0.0001); and likewise uninsured patients and patients with Medicare/Medicaid were less likely to complete the questionnaire than private patients (p < 0.0001). The average genetic counseling time per case was 82 min, with no significant differences whether the counselor or the patient completed CGC. CGC reduces genetic counselor time by approximately 14-46% compared to average time per case using traditional risk assessment and documentation methods previously reported. All surveyed users felt the questionnaire was easy to understand. CGC is an effective tool that streamlines workflow, and provides a standardized data collection tool that can be used to evaluate and improve the genetic counseling process.

Indexed as

AgedFemaleGenetic CounselingGenetic TestingHumansInternetMaleMiddle AgedNeoplasmsProfessional-Patient RelationsResearch DesignRisk AssessmentSurveys and QuestionnairesUnited States

Identifiers

PMID24916850
PMCPMC4233159

What OpenQuestion 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 OpenQuestion graph.