Novel teleophthalmology technologies have the potential to reduce unnecessary and inaccurate referrals between community optometry practices and hospital eye services and as a result improve patients’ access to appropriate and timely eye care. However, little is known on the acceptability and facilitators and barriers of the implementations of these technologies in real-life. A theoretically informed, qualitative study will explore patients’ and healthcare professionals’ perspectives on teleophthalmology and Artificial Intelligence Decision Support System (AI DSS) models of care. A combination of situated observations in community optometry practices and hospital eye services, semi-structured qualitative interviews with patients and healthcare professionals and self-audio recordings of healthcare professionals will be conducted. Participants will be purposively selected from 4-5 hospital eye services and 6-8 affiliated community optometry practices. The aim will be to recruit 30-36 patients and 30 healthcare professionals from hospital eye services and community optometry practices. All interviews will be audio-recorded, with participants’ permission, and transcribed verbatim. Data from interviews, observations and self-audio recordings will be analysed thematically and will be informed by Normalisation Process Theory (NPT) and an inductive approach.
Protocol for a qualitative study to explore acceptability, barriers, and facilitators of the implementation of new teleophthalmology technologies between community optometry practices and hospital eye services
Cappellaro, Giulia;
2022
Abstract
Novel teleophthalmology technologies have the potential to reduce unnecessary and inaccurate referrals between community optometry practices and hospital eye services and as a result improve patients’ access to appropriate and timely eye care. However, little is known on the acceptability and facilitators and barriers of the implementations of these technologies in real-life. A theoretically informed, qualitative study will explore patients’ and healthcare professionals’ perspectives on teleophthalmology and Artificial Intelligence Decision Support System (AI DSS) models of care. A combination of situated observations in community optometry practices and hospital eye services, semi-structured qualitative interviews with patients and healthcare professionals and self-audio recordings of healthcare professionals will be conducted. Participants will be purposively selected from 4-5 hospital eye services and 6-8 affiliated community optometry practices. The aim will be to recruit 30-36 patients and 30 healthcare professionals from hospital eye services and community optometry practices. All interviews will be audio-recorded, with participants’ permission, and transcribed verbatim. Data from interviews, observations and self-audio recordings will be analysed thematically and will be informed by Normalisation Process Theory (NPT) and an inductive approach.File | Dimensione | Formato | |
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bmjopen-2022-060810.R1_Proof_hi.pdf
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