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

Emily Walling¹  Aarti Kamat¹  Adam S. DuVall²  Michael Aratow³  Chiara Acquati⁴  Johnny S. Kim⁵  Anao Zhang⁶ 

[1] Adolescent and Young Adult Oncology Program, University of Michigan Health, Ann Arbor, MI 48109, USA;Department of Medicine, University of Chicago, Chicago, IL 60637, USA;Ellipsis Health, San Francisco, CA 94102, USA;Graduate College of Social Work, University of Houston, Houston, TX 77204, USA;Graduate School of Social Work, University of Denver, Denver, CO 80208, USA;School of Social Work, University of Michigan, Ann Arbor, MI 48109, USA;

关键词: adolescent and young adult cancer;    distress;    artificial intelligence;    feasibility;    acceptability;    vocal biomarkers;   

DOI  :  10.3390/cancers14040914

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown