Evaluating the Feasibility and Acceptability of an Artificial-Intelligence-Enabled and Speech-Based Distress Screening Mobile App for Adolescents and Young Adults Diagnosed with Cancer: A Study Protocol
Adolescents and young adults (AYAs) diagnosed with cancer are an age-defined population, with studies reporting up to 45% of the population experiencing psychological distress. Although it is essential to screen and monitor for psychological distress throughout AYAs’ cancer journeys, many cancer cen...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Cancers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-6694/14/4/914 |
| _version_ | 1797482093042728960 |
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| author | Anao Zhang Aarti Kamat Chiara Acquati Michael Aratow Johnny S. Kim Adam S. DuVall Emily Walling |
| author_facet | Anao Zhang Aarti Kamat Chiara Acquati Michael Aratow Johnny S. Kim Adam S. DuVall Emily Walling |
| author_sort | Anao Zhang |
| collection | DOAJ |
| description | Adolescents and young adults (AYAs) diagnosed with cancer are an age-defined population, with studies reporting up to 45% of the population experiencing psychological distress. Although it is essential to screen and monitor for psychological distress throughout AYAs’ cancer journeys, many cancer centers fail to effectively implement distress screening protocols largely due to busy clinical workflow and survey fatigue. Recent advances in mobile technology and speech science have enabled flexible and engaging methods to monitor psychological distress. However, patient-centered research focusing on these methods’ feasibility and acceptability remains lacking. Therefore, in this project, we aim to evaluate the feasibility and acceptability of an artificial intelligence (AI)-enabled and speech-based mobile application to monitor psychological distress among AYAs diagnosed with cancer. We use a single-arm prospective cohort design with a stratified sampling strategy. We aim to recruit 60 AYAs diagnosed with cancer and to monitor their psychological distress using an AI-enabled speech-based distress monitoring tool over a 6 month period. The primary feasibility endpoint of this study is defined by the number of participants completing four out of six monthly distress assessments, and the acceptability endpoint is defined both quantitatively using the acceptability of intervention measure and qualitatively using semi-structured interviews. |
| first_indexed | 2024-03-09T22:24:20Z |
| format | Article |
| id | doaj.art-a9015f5d87574f5cbe7d72d2205487e8 |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-09T22:24:20Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cancers |
| spelling | doaj.art-a9015f5d87574f5cbe7d72d2205487e82023-11-23T19:08:28ZengMDPI AGCancers2072-66942022-02-0114491410.3390/cancers14040914Evaluating the Feasibility and Acceptability of an Artificial-Intelligence-Enabled and Speech-Based Distress Screening Mobile App for Adolescents and Young Adults Diagnosed with Cancer: A Study ProtocolAnao Zhang0Aarti Kamat1Chiara Acquati2Michael Aratow3Johnny S. Kim4Adam S. DuVall5Emily Walling6School of Social Work, University of Michigan, Ann Arbor, MI 48109, USAAdolescent and Young Adult Oncology Program, University of Michigan Health, Ann Arbor, MI 48109, USAGraduate College of Social Work, University of Houston, Houston, TX 77204, USAEllipsis Health, San Francisco, CA 94102, USAGraduate School of Social Work, University of Denver, Denver, CO 80208, USADepartment of Medicine, University of Chicago, Chicago, IL 60637, USAAdolescent and Young Adult Oncology Program, University of Michigan Health, Ann Arbor, MI 48109, USAAdolescents and young adults (AYAs) diagnosed with cancer are an age-defined population, with studies reporting up to 45% of the population experiencing psychological distress. Although it is essential to screen and monitor for psychological distress throughout AYAs’ cancer journeys, many cancer centers fail to effectively implement distress screening protocols largely due to busy clinical workflow and survey fatigue. Recent advances in mobile technology and speech science have enabled flexible and engaging methods to monitor psychological distress. However, patient-centered research focusing on these methods’ feasibility and acceptability remains lacking. Therefore, in this project, we aim to evaluate the feasibility and acceptability of an artificial intelligence (AI)-enabled and speech-based mobile application to monitor psychological distress among AYAs diagnosed with cancer. We use a single-arm prospective cohort design with a stratified sampling strategy. We aim to recruit 60 AYAs diagnosed with cancer and to monitor their psychological distress using an AI-enabled speech-based distress monitoring tool over a 6 month period. The primary feasibility endpoint of this study is defined by the number of participants completing four out of six monthly distress assessments, and the acceptability endpoint is defined both quantitatively using the acceptability of intervention measure and qualitatively using semi-structured interviews.https://www.mdpi.com/2072-6694/14/4/914adolescent and young adult cancerdistressartificial intelligencefeasibilityacceptabilityvocal biomarkers |
| spellingShingle | Anao Zhang Aarti Kamat Chiara Acquati Michael Aratow Johnny S. Kim Adam S. DuVall Emily Walling Evaluating the Feasibility and Acceptability of an Artificial-Intelligence-Enabled and Speech-Based Distress Screening Mobile App for Adolescents and Young Adults Diagnosed with Cancer: A Study Protocol Cancers adolescent and young adult cancer distress artificial intelligence feasibility acceptability vocal biomarkers |
| title | Evaluating the Feasibility and Acceptability of an Artificial-Intelligence-Enabled and Speech-Based Distress Screening Mobile App for Adolescents and Young Adults Diagnosed with Cancer: A Study Protocol |
| title_full | Evaluating the Feasibility and Acceptability of an Artificial-Intelligence-Enabled and Speech-Based Distress Screening Mobile App for Adolescents and Young Adults Diagnosed with Cancer: A Study Protocol |
| title_fullStr | Evaluating the Feasibility and Acceptability of an Artificial-Intelligence-Enabled and Speech-Based Distress Screening Mobile App for Adolescents and Young Adults Diagnosed with Cancer: A Study Protocol |
| title_full_unstemmed | Evaluating the Feasibility and Acceptability of an Artificial-Intelligence-Enabled and Speech-Based Distress Screening Mobile App for Adolescents and Young Adults Diagnosed with Cancer: A Study Protocol |
| title_short | Evaluating the Feasibility and Acceptability of an Artificial-Intelligence-Enabled and Speech-Based Distress Screening Mobile App for Adolescents and Young Adults Diagnosed with Cancer: A Study Protocol |
| title_sort | evaluating the feasibility and acceptability of an artificial intelligence enabled and speech based distress screening mobile app for adolescents and young adults diagnosed with cancer a study protocol |
| topic | adolescent and young adult cancer distress artificial intelligence feasibility acceptability vocal biomarkers |
| url | https://www.mdpi.com/2072-6694/14/4/914 |
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