Development and user testing of gene pilot: an electronic health decision support tool for Black cancer patients about tumor genomic profile testing

Introduction Tumor genomic profiling (TGP) is used to optimize cancer treatment but is underutilized by Black patients, despite having disproportionately higher cancer morbidity and mortality. No interventions using electronic health decision support tools (eHealth DSTs) have been developed to assist patients with understanding this test or address barriers to uptake and communicating preferences with a doctor. Methods Using the Ottawa Decision Support Framework, we systematically developed the Gene Pilot eHealth DST with Black cancer patients. We conducted qualitative focus groups (five groups, N = 33) and surveys ( N = 121), elicited community advisory board feedback ( N = 10) to devise DST content and communication strategies, and then conducted user testing ( N = 10). Content was informed by commercial marketing techniques - segmentation, perceptual mapping, vector message modeling – to elucidate how medical mistrust was an important construct to address in Gene Pilot. Results User testing (1–7 scale) indicated Gene Pilot was highly accepted, including ease of use (M = 6.67, SD = 0.50), that it addressed important barriers such as medical mistrust and genetic literacy (6.63, SD = 0.52), and allowed patients to prepare for the decision (M = 6.44, SD = 0.73) and to communicate with their doctor (M = 6.33, SD = 0.73). Suggestions for improved navigability were addressed. Conclusion Overall, Gene Pilot was found to be acceptable, suggesting its readiness for efficacy testing.

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Publication Details

Journal
Frontiers in Communication
Published
2025-04-04
DOI
https://doi.org/10.3389/fcomm.2025.1505456
Citations
1
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
1.82
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article

Development and user testing of gene pilot: an electronic health decision support tool for Black cancer patients about tumor genomic profile testing

Alexandru-Mircea Rotaru, Michael J. Hall, Sarah Bauerle Bass, Patrick J. Kelly et al.
1 citations
Frontiers in Communication
Genomics and Rare Diseases
1.82
article

Development and user testing of gene pilot: an electronic health decision support tool for Black cancer patients about tumor genomic profile testing

Alexandru-Mircea Rotaru, Michael J. Hall, Sarah Bauerle Bass, Patrick J. Kelly, Ariel Hoadley, Yana Chertock, Paul D’Avanzo, Jesse Brajuha, Caseem C. Luck, Katie Singley
article en
1 citations

Abstract

Introduction Tumor genomic profiling (TGP) is used to optimize cancer treatment but is underutilized by Black patients, despite having disproportionately higher cancer morbidity and mortality. No interventions using electronic health decision support tools (eHealth DSTs) have been developed to assist patients with understanding this test or address barriers to uptake and communicating preferences with a doctor. Methods Using the Ottawa Decision Support Framework, we systematically developed the Gene Pilot eHealth DST with Black cancer patients. We conducted qualitative focus groups (five groups, N = 33) and surveys ( N = 121), elicited community advisory board feedback ( N = 10) to devise DST content and communication strategies, and then conducted user testing ( N = 10). Content was informed by commercial marketing techniques - segmentation, perceptual mapping, vector message modeling – to elucidate how medical mistrust was an important construct to address in Gene Pilot. Results User testing (1–7 scale) indicated Gene Pilot was highly accepted, including ease of use (M = 6.67, SD = 0.50), that it addressed important barriers such as medical mistrust and genetic literacy (6.63, SD = 0.52), and allowed patients to prepare for the decision (M = 6.44, SD = 0.73) and to communicate with their doctor (M = 6.33, SD = 0.73). Suggestions for improved navigability were addressed. Conclusion Overall, Gene Pilot was found to be acceptable, suggesting its readiness for efficacy testing.

Frontiers in CommunicationVol. 10
Fox Chase Cancer Center (US), Temple University (US)
Openalex Percentile: Top 17%
Genomics and Rare Diseases
1.82
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