Biomedical
UK women smokers' experiences of an age-progression smoking cessation intervention: Thematic analysis of accounts
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Lucy Walker,
Sarah Grogan,
Keira Sholtens,
Keira Sholtens
entre for Health Psychology, The Science Centre, Staffordshire University,
Andrew Denovan,
Brian Mcmillan,
Brian Mcmillan
Centre for Primary Care and Health Services Research, University of Manchester,
Christopher Armitage,
Christopher Armitage
Division of Psychology and Mental Health, Manchester Centre for Health Psychology, University of Manchester, Manchester University NHS Foundation Trust, Manchester Aca- demic Health Science Centre, NIHR Greater Manchester Patient Safety Translational Rese
Mark Conner,
Tracy Epton,
Tracy Epton
Division of Psychology and Mental Health, Manchester Centre for Health Psychology, University of Manchester,
Maria Cordero
Abstract
Objectives Appearance-related interventions to promote healthy behaviour have been found effective to communicate health risks. The current study aimed to explore women smokers' experiences of age-progression software showing the effects of smoking on the face. Methods A qualitative design was implemented, utilizing both individual interviews and focus groups within a critical realist framework. Fifteen, 19–52 year-old women smokers were administered an age-progression intervention. All participants responded to the intervention, engaged in semi-structured interviews, and were invited back to attend one of three focus groups. Data were analysed using inductive thematic analysis. Results Four main themes were identified: Health versus Appearance, Shock Reaction, Perceived Susceptibility, and Intention to Quit. Participants found the intervention useful, voicing need for a comprehensive approach that includes both appearance and health. Despite increases in appearance-based apps which could diminish impact, women's accounts of shock induced by the aged smoking-morphed images were similar to previous work conducted more than ten years previously. Conclusions The study provides novel insights in how women smokers currently perceive, and react to, an age-progression intervention for smoking cessation. Innovation Findings emphasise the implementation of this intervention type accompanied by health information in a range of patient settings.
Key Question
What is the main focus of this study?
The study explores the impact of accountability, training, and human factors on the use of artificial intelligence (AI) in healthcare, focusing on the perceptions of healthcare practitioners in the United States.
How does accountability influence the use of AI in healthcare?
The study found that a lack of clear accountability can inhibit the use of AI in healthcare settings, as practitioners may be uncertain about who is responsible for AI-driven decisions.
What role does training play in the adoption of AI by healthcare practitioners?
Willingness to receive AI training was identified as a significant factor influencing practitioners' intention to use AI, suggesting that adequate training can facilitate AI adoption in healthcare.
What human factors affect the perception of AI in healthcare?
Perceived workload, trustworthiness of AI, and perceived risk were significant factors affecting practitioners' perceptions of AI's impact on decision-making in healthcare.
What are the implications of this study for healthcare practice?
The findings suggest that addressing issues of accountability, providing adequate training, and considering human factors are crucial for the effective integration and adoption of AI in healthcare systems.
Why is this research significant?
This research provides insights into the barriers and facilitators of AI adoption in healthcare, highlighting the importance of a systems approach that includes human factors considerations alongside technological advancements.
