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.
N1 - Funding Information:
Acknowledgments This work was supported by the Cancer Prevention and Research Institute of Texas (grant #PP110220). The authors thank the support of the entire staff of the UT Southwestern Cancer Genetics group, Parkland Hospital Oncology and John Peter Smith Hospital, as well as the UT Southwestern Clinical Sciences Department, including Dr. Celette Skinner, Saddyna Belmashkan, and Maria Funes.
Funding Information:
Gender: (p=0.21) Male Female Age: (p=0.026) Under 18 18-29 30-49 50-64 65 and Older Race: (p<0.0001) American Indian/Native Alaskan 15 Asian 78 Black/African American 332 Native Hawaiian/Pacific Islander 12 White/Caucasian 1,977 Ethnicity: (data taken prior to implementation of Spanish version) (p<0.0001) Hispanic 417 Non-Hispanic 1,996 Cancer Status: (p=0.21) Patient has Current or Previous History of Cancer Patient has Not had Cancer Clinic (4/1/13-6/30/13): (p<0.0001) Simmons Comprehensive Cancer Center (Dallas) Moncrief Cancer Institute (Fort Worth) County Hospitals (John Peter Smith and Parkland) Source of Funding for Genetic Testing (4/1/13-6/30/13): (p<0.0001) Testing covered 100 % by financial assistance (uninsured) Medicare or Medicaid Private Insurance
Publisher Copyright:
© 2014, National Society of Genetic Counselors, Inc.
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
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U2 - 10.1007/s10897-014-9732-5
DO - 10.1007/s10897-014-9732-5
M3 - Article
C2 - 24916850
AN - SCOPUS:84911990918
SN - 1059-7700
VL - 23
SP - 1034
EP - 1044
JO - Journal of Genetic Counseling
JF - Journal of Genetic Counseling
IS - 6
ER -