Evaluation of an automated process for disclosure of negative noninvasive prenatal test results
Year: 2019
Type: article
Abstract: We designed and implemented a novel automated negative non-invasive prenatal test (NIPT) result disclosure process using a proprietary, HIPAA-compliant web-based portal. High-risk pregnant patients who opted for NIPT from 04/2017 to 12/2018 were given the option to receive their negative result through the automated process. Patients were required to watch a brief educational video and answer evaluative questions before downloading their result. After completing the process, patients completed a survey regarding their opinion of the efficiency and convenience of the process and their satisfaction. A total of 10,170 women registered online during the study period, and 8,965 completed the automated process (88%). Out of 8,965 women, 2,121 women responded to the survey (24%). Most (2,030 of 2,101) strongly agreed/agreed that they could easily navigate the patient portal (97%); 1,852 of 1,966 strongly agreed/agreed that disclosure was efficient and convenient (94%); 1,852 of 1,960 strongly agreed/agreed that they felt informed after watching a short educational video (94%); and 1,903 of 1,967 strongly agreed/agreed that they preferred downloading results rather than waiting for their next doctor's appointment (97%). This study demonstrates high patient satisfaction with this automated and scalable solution in a high-volume health system. As the utilization of genetic testing increases, we predict greater need for innovative healthcare delivery models.
Source: Journal of Genetic Counseling
DOI: 10.1002/jgc4.1127
Authors: Cassidi D. Kalejta, Sonja Higgins, Hilary Kershberg, Jeff Greenberg, Monica Alvarado, Kerry Cooke, Sucheta Bhatt, Denise Bulpitt, Jamie Armour, Bassem Bejjani, Shawnia Ryan, Amanda Elms
Institutions: Kaiser Permanente, Illumina (United States)
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,140
OpenAlex ID: W2943052080
