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Comparing preferences for skin cancer screening: AI-enabled app vs dermatologist.
Gaube, Susanne; Biebl, Isabell; Engelmann, Magdalena Karin Maria; Kleine, Anne-Kathrin; Lermer, Eva.
Affiliation
  • Gaube S; UCL Global Business School for Health, University College London, UCL East - Marshgate, 7 Sidings St, London, E20 2AE, United Kingdom. Electronic address: susanne.gaube@ucl.ac.uk.
  • Biebl I; Center for Leadership and People Management, Department of Psychology, LMU Munich, Geschwister-Scholl-Platz 1, 80539, Munich, Germany.
  • Engelmann MKM; Department of Experimental Psychology, University of Regensburg, 93040, Regensburg, Germany.
  • Kleine AK; Center for Leadership and People Management, Department of Psychology, LMU Munich, Geschwister-Scholl-Platz 1, 80539, Munich, Germany.
  • Lermer E; Center for Leadership and People Management, Department of Psychology, LMU Munich, Geschwister-Scholl-Platz 1, 80539, Munich, Germany; Department of Business Psychology, Technical University of Applied Sciences Augsburg, An der Hochschule 1, 86161, Augsburg, Germany.
Soc Sci Med ; 349: 116871, 2024 May.
Article in En | MEDLINE | ID: mdl-38640741
ABSTRACT
BACKGROUND AND

AIM:

Skin cancer is a major public health issue. While self-examinations and professional screenings are recommended, they are rarely performed. Mobile health (mHealth) apps utilising artificial intelligence (AI) for skin cancer screening offer a potential solution to aid self-examinations; however, their uptake is low. Therefore, the aim of this research was to examine provider and user characteristics influencing people's decisions to seek skin cancer screening performed by a mHealth app or a dermatologist.

METHODS:

Two forced-choice conjoint experiments with Nmain = 1591 and Nreplication = 308 participants from the United States were conducted online to investigate preferences for screening providers. In addition to the provider type (mHealth app vs dermatologist), the following provider attributes were manipulated costs, expertise, privacy policy, and result details. Subsequently, a questionnaire assessed various user characteristics, including demographics, attitudes toward AI technology and medical mistrust.

RESULTS:

Outcomes were consistent across the two studies. The provider type was the most influential factor, with the dermatologist being selected more often than the mHealth app. Cost, expertise, and privacy policy also significantly impacted decisions. Demographic subgroup analyses showed rather consistent preference trends across various age, gender, and ethnicity groups. Individuals with greater medical mistrust were more inclined to choose the mHealth app. Trust, accuracy, and quality ratings were higher for the dermatologist, whether selected or not.

CONCLUSION:

Our results offer valuable insights for technology developers, healthcare providers, and policymakers, contributing to unlocking the potential of skin cancer screening apps in bridging healthcare gaps in underserved communities.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Neoplasms / Artificial Intelligence / Early Detection of Cancer / Mobile Applications Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: Soc Sci Med Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Neoplasms / Artificial Intelligence / Early Detection of Cancer / Mobile Applications Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: Soc Sci Med Year: 2024 Document type: Article Country of publication: