Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare
Precision medicine relies upon artificial intelligence (AI)-driven technologies that raise ethical and practical concerns. In this study, we developed and validated a measure of parental openness and concerns with AI-driven technologies in their child’s healthcare. In this cross-sectional survey, we...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Children |
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| Online Access: | https://www.mdpi.com/2227-9067/7/9/145 |
| _version_ | 1797553191941832704 |
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| author | Bryan A. Sisk Alison L. Antes Sara Burrous James M. DuBois |
| author_facet | Bryan A. Sisk Alison L. Antes Sara Burrous James M. DuBois |
| author_sort | Bryan A. Sisk |
| collection | DOAJ |
| description | Precision medicine relies upon artificial intelligence (AI)-driven technologies that raise ethical and practical concerns. In this study, we developed and validated a measure of parental openness and concerns with AI-driven technologies in their child’s healthcare. In this cross-sectional survey, we enrolled parents of children <18 years in 2 rounds for exploratory (<i>n</i> = 418) and confirmatory (<i>n</i> = 386) factor analysis. We developed a 12-item measure of parental openness to AI-driven technologies, and a 33-item measure identifying concerns that parents found important when considering these technologies. We also evaluated associations between openness and attitudes, beliefs, personality traits, and demographics. Parents (<i>N</i> = 804) reported mean openness to AI-driven technologies of M = 3.4/5, SD = 0.9. We identified seven concerns that parents considered important when evaluating these technologies: quality/accuracy, privacy, shared decision making, convenience, cost, human element of care, and social justice. In multivariable linear regression, parental openness was positively associated with quality (beta = 0.23), convenience (beta = 0.16), and cost (beta = 0.11), as well as faith in technology (beta = 0.23) and trust in health information systems (beta = 0.12). Parental openness was negatively associated with the perceived importance of shared decision making (beta = −0.16) and being female (beta = −0.12). Developers might support parental openness by addressing these concerns during the development and implementation of novel AI-driven technologies. |
| first_indexed | 2024-03-10T16:11:53Z |
| format | Article |
| id | doaj.art-b66c771d5ddb49a49b51996087502a41 |
| institution | Directory Open Access Journal |
| issn | 2227-9067 |
| language | English |
| last_indexed | 2024-03-10T16:11:53Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Children |
| spelling | doaj.art-b66c771d5ddb49a49b51996087502a412023-11-20T14:23:37ZengMDPI AGChildren2227-90672020-09-017914510.3390/children7090145Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric HealthcareBryan A. Sisk0Alison L. Antes1Sara Burrous2James M. DuBois3Department of Pediatrics, Division of Hematology/Oncology, Washington University School of Medicine, St. Louis, MO 63110, USADepartment of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USABrown School, Washington University, St. Louis, MO 63130, USADepartment of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USAPrecision medicine relies upon artificial intelligence (AI)-driven technologies that raise ethical and practical concerns. In this study, we developed and validated a measure of parental openness and concerns with AI-driven technologies in their child’s healthcare. In this cross-sectional survey, we enrolled parents of children <18 years in 2 rounds for exploratory (<i>n</i> = 418) and confirmatory (<i>n</i> = 386) factor analysis. We developed a 12-item measure of parental openness to AI-driven technologies, and a 33-item measure identifying concerns that parents found important when considering these technologies. We also evaluated associations between openness and attitudes, beliefs, personality traits, and demographics. Parents (<i>N</i> = 804) reported mean openness to AI-driven technologies of M = 3.4/5, SD = 0.9. We identified seven concerns that parents considered important when evaluating these technologies: quality/accuracy, privacy, shared decision making, convenience, cost, human element of care, and social justice. In multivariable linear regression, parental openness was positively associated with quality (beta = 0.23), convenience (beta = 0.16), and cost (beta = 0.11), as well as faith in technology (beta = 0.23) and trust in health information systems (beta = 0.12). Parental openness was negatively associated with the perceived importance of shared decision making (beta = −0.16) and being female (beta = −0.12). Developers might support parental openness by addressing these concerns during the development and implementation of novel AI-driven technologies.https://www.mdpi.com/2227-9067/7/9/145pediatricspersonalized medicineethicsbiomedical technologychild healthartificial intelligence |
| spellingShingle | Bryan A. Sisk Alison L. Antes Sara Burrous James M. DuBois Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare Children pediatrics personalized medicine ethics biomedical technology child health artificial intelligence |
| title | Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare |
| title_full | Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare |
| title_fullStr | Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare |
| title_full_unstemmed | Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare |
| title_short | Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare |
| title_sort | parental attitudes toward artificial intelligence driven precision medicine technologies in pediatric healthcare |
| topic | pediatrics personalized medicine ethics biomedical technology child health artificial intelligence |
| url | https://www.mdpi.com/2227-9067/7/9/145 |
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