Afraid of the dentist? There's an app for that: Development and usability testing of a cognitive behavior therapy-based mobile app.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 39661616.
- Also identified by DOI 10.1371/journal.pdig.0000690 and PMC identifier 11633963.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Although several brief cognitive behavior therapy (CBT)-based treatments for dental fear have proven efficacious, these interventions remain largely unavailable outside of the specialty clinics in which they were developed. Leveraging technology, we sought to increase access to treatment for individuals with dental fear through the development of a mobile application (Dental FearLess). To assess the resonance of our app as an avenue for dental fear treatment, we conducted a study assessing the usability, feasibility, and acceptability of the beta app. Participants with moderate to severe dental fear (N = 80) completed the app and reported on the perceived usability of the mobile interface (Systems Usability Scale, SUS; α = .82) and credibility of the intervention (Credibility and Expectancy Questionnaire, CEQ; α = .88). A sub-sample of participants naïve to the app (n = 10) completed the app during a think-aloud procedure, sharing their candid thoughts and reactions while using the app, prior to reporting on usability and credibility metrics. Overall usability (M = 78.5, SD = 17.7) and credibility (M = 21.7, SD = 5.5) of the beta version of the app were good. The think-aloud data further corroborated the app's acceptability, while highlighting several areas for user improvement (i.e., aesthetics, navigation, engagement). Usability and acceptability results are promising for the viability of an accessible, feasible, self-administered intervention for dental fear. Refinements made based on user feedback have produced a clinical-trial-ready mobile application. App refinement decisions, informed by user feedback, are representative of the larger literature-that is, of the ubiquitous negotiations m-health developers must make across treatment fidelity, usability, and engagement. Implications for future research are discussed.