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

Research output: Contribution to journalArticle

9 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)1034-1044
Number of pages11
JournalJournal of Genetic Counseling
Volume23
Issue number6
DOIs
StatePublished - Nov 16 2014

Fingerprint

Genetic Phenomena
Genetic Counseling
Appointments and Schedules
Medical History Taking
County Hospitals
Time and Motion Studies
Workflow
Medicaid
Medicare
Ethnic Groups
Documentation

Keywords

  • Cancer gene connect
  • Genetic counseling
  • Health care information technology
  • Hereditary cancer risk assessment
  • Web-based program

ASJC Scopus subject areas

  • Genetics(clinical)

Cite this

An Internal Performance Assessment of CancerGene Connect : An Electronic Tool to Streamline, Measure and Improve the Genetic Counseling Process. / Pritzlaff, Mary; Yorczyk, Arielle; Robinson, Linda S.; Pirzadeh-Miller, Sara; Lin, Tirun; Euhus, David; Ross, Theodora S.

In: Journal of Genetic Counseling, Vol. 23, No. 6, 16.11.2014, p. 1034-1044.

Research output: Contribution to journalArticle

Pritzlaff, Mary ; Yorczyk, Arielle ; Robinson, Linda S. ; Pirzadeh-Miller, Sara ; Lin, Tirun ; Euhus, David ; Ross, Theodora S. / An Internal Performance Assessment of CancerGene Connect : An Electronic Tool to Streamline, Measure and Improve the Genetic Counseling Process. In: Journal of Genetic Counseling. 2014 ; Vol. 23, No. 6. pp. 1034-1044.
@article{7a97dd39f24d484aa24a649b76540393,
title = "An Internal Performance Assessment of CancerGene Connect: An Electronic Tool to Streamline, Measure and Improve the Genetic Counseling Process",
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.",
keywords = "Cancer gene connect, Genetic counseling, Health care information technology, Hereditary cancer risk assessment, Web-based program",
author = "Mary Pritzlaff and Arielle Yorczyk and Robinson, {Linda S.} and Sara Pirzadeh-Miller and Tirun Lin and David Euhus and Ross, {Theodora S.}",
year = "2014",
month = "11",
day = "16",
doi = "10.1007/s10897-014-9732-5",
language = "English (US)",
volume = "23",
pages = "1034--1044",
journal = "Journal of Genetic Counseling",
issn = "1059-7700",
publisher = "Kluwer Academic/Human Sciences Press Inc.",
number = "6",

}

TY - JOUR

T1 - An Internal Performance Assessment of CancerGene Connect

T2 - An Electronic Tool to Streamline, Measure and Improve the Genetic Counseling Process

AU - Pritzlaff, Mary

AU - Yorczyk, Arielle

AU - Robinson, Linda S.

AU - Pirzadeh-Miller, Sara

AU - Lin, Tirun

AU - Euhus, David

AU - Ross, Theodora S.

PY - 2014/11/16

Y1 - 2014/11/16

N2 - 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.

AB - 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.

KW - Cancer gene connect

KW - Genetic counseling

KW - Health care information technology

KW - Hereditary cancer risk assessment

KW - Web-based program

UR - http://www.scopus.com/inward/record.url?scp=84911990918&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84911990918&partnerID=8YFLogxK

U2 - 10.1007/s10897-014-9732-5

DO - 10.1007/s10897-014-9732-5

M3 - Article

VL - 23

SP - 1034

EP - 1044

JO - Journal of Genetic Counseling

JF - Journal of Genetic Counseling

SN - 1059-7700

IS - 6

ER -