Exploring General Practice Staff Perspectives on a Teaching Concept Based on Instruction Videos for Diabetic Retinopathy Screening - an Interview Study

Overview

Journal Scand J Prim Health Care

Specialty Public Health

Date 2024 Sep 3

PMID 39225788

Authors

Malene Krogh

Martin Bach Jensen

Morten Sig Ager Jensen

Malene Hentze Hansen

Marie Germund Nielsen

Henrik Vorum

Jette Kolding Kristensen

Affiliations

Soon will be listed here.

Abstract

Objective: The aim of this study is to explore general practice staff perspectives regarding a teaching concept based on instructional videos for conducting DR screenings. Furthermore, this study aims to investigate the competencies acquired by the staff through this teaching concept.

Design And Setting: Qualitative cross-sectional study conducted in general practice clinics in the North Denmark Region.

Method: A teaching concept was developed based on instruction videos to teach general practice staff to conduct diabetic retinopathy screenings with automated grading through artificial intelligence. Semi-structured interviews were performed with 16 staff members to investigate their perspectives on the concept and acquired competencies.

Results: This study found no substantial resistance to the teaching concept from staff; however, participants' satisfaction with the methods employed in the instruction session, the progression of learning curves, screening competencies, and their acceptance of a known knowledge gap during screenings varied slightly among the participants.

Conclusion: This study showed that the teaching concept can be used to teach general practice staff to conduct diabetic retinopathy screenings. Staffs' perspectives on the teaching concept and acquired competencies varied, and this study suggest few adjustments to the concept to accommodate staff's preferences and establish more consistent competencies.

References

Grauslund J . Diabetic retinopathy screening in the emerging era of artificial intelligence. Diabetologia. 2022; 65(9):1415-1423. DOI: 10.1007/s00125-022-05727-0. View

Lin S, Mahoney M, Sinsky C . Ten Ways Artificial Intelligence Will Transform Primary Care. J Gen Intern Med. 2019; 34(8):1626-1630. PMC: 6667610. DOI: 10.1007/s11606-019-05035-1. View

Fahim A, Rehman S, Fayyaz F, Javed M, Alam M, Rana S . Identification of Preferred Learning Style of Medical and Dental Students Using VARK Questionnaire. Biomed Res Int. 2021; 2021:4355158. PMC: 8545508. DOI: 10.1155/2021/4355158. View

Forbes H, Oprescu F, Downer T, Phillips N, McTier L, Lord B . Use of videos to support teaching and learning of clinical skills in nursing education: A review. Nurse Educ Today. 2016; 42:53-6. DOI: 10.1016/j.nedt.2016.04.010. View

Krumm I, Miles M, Clay A, Carlos Ii W, Adamson R . Making Effective Educational Videos for Clinical Teaching. Chest. 2021; 161(3):764-772. PMC: 8941608. DOI: 10.1016/j.chest.2021.09.015. View

Thomas L, Mastorides S, Viswanadhan N, Jakey C, Borkowski A . Artificial Intelligence: Review of Current and Future Applications in Medicine. Fed Pract. 2022; 38(11):527-538. PMC: 8815615. DOI: 10.12788/fp.0174. View

Grzybowski A, Brona P . Analysis and Comparison of Two Artificial Intelligence Diabetic Retinopathy Screening Algorithms in a Pilot Study: IDx-DR and Retinalyze. J Clin Med. 2021; 10(11). PMC: 8199438. DOI: 10.3390/jcm10112352. View

Anderson D, Lohse K, Lopes T, Williams A . Individual differences in motor skill learning: Past, present and future. Hum Mov Sci. 2021; 78:102818. DOI: 10.1016/j.humov.2021.102818. View

Brierley C, Ellis L, Reid E . Peer-assisted learning in medical education: A systematic review and meta-analysis. Med Educ. 2021; 56(4):365-373. DOI: 10.1111/medu.14672. View

10.

Abramoff M, Lavin P, Birch M, Shah N, Folk J . Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. NPJ Digit Med. 2019; 1:39. PMC: 6550188. DOI: 10.1038/s41746-018-0040-6. View

11.

Mukhalalati B, Taylor A . Adult Learning Theories in Context: A Quick Guide for Healthcare Professional Educators. J Med Educ Curric Dev. 2019; 6:2382120519840332. PMC: 6458658. DOI: 10.1177/2382120519840332. View

12.

Murphy K, Di Ruggiero E, Upshur R, Willison D, Malhotra N, Cai J . Artificial intelligence for good health: a scoping review of the ethics literature. BMC Med Ethics. 2021; 22(1):14. PMC: 7885243. DOI: 10.1186/s12910-021-00577-8. View

13.

Andersen C, Espersen M, Brodersen J, Thomsen J, Jensen M, Davidsen A . Learning strategies of general practitioners striving to achieve point-of-care ultrasound competence: a qualitative study. Scand J Prim Health Care. 2022; 40(1):67-77. PMC: 9090417. DOI: 10.1080/02813432.2022.2036483. View

14.

Brame C . Effective Educational Videos: Principles and Guidelines for Maximizing Student Learning from Video Content. CBE Life Sci Educ. 2016; 15(4). PMC: 5132380. DOI: 10.1187/cbe.16-03-0125. View

15.

Ellahham S . Artificial Intelligence: The Future for Diabetes Care. Am J Med. 2020; 133(8):895-900. DOI: 10.1016/j.amjmed.2020.03.033. View

16.

Kanagasingam Y, Xiao D, Vignarajan J, Preetham A, Tay-Kearney M, Mehrotra A . Evaluation of Artificial Intelligence-Based Grading of Diabetic Retinopathy in Primary Care. JAMA Netw Open. 2019; 1(5):e182665. PMC: 6324474. DOI: 10.1001/jamanetworkopen.2018.2665. View

17.

Banerjee M, Chiew D, Patel K, Johns I, Chappell D, Linton N . The impact of artificial intelligence on clinical education: perceptions of postgraduate trainee doctors in London (UK) and recommendations for trainers. BMC Med Educ. 2021; 21(1):429. PMC: 8364021. DOI: 10.1186/s12909-021-02870-x. View

18.

Nilsen P, Seing I, Ericsson C, Birken S, Schildmeijer K . Characteristics of successful changes in health care organizations: an interview study with physicians, registered nurses and assistant nurses. BMC Health Serv Res. 2020; 20(1):147. PMC: 7045403. DOI: 10.1186/s12913-020-4999-8. View

19.

van der Heijden A, Abramoff M, Verbraak F, van Hecke M, Liem A, Nijpels G . Validation of automated screening for referable diabetic retinopathy with the IDx-DR device in the Hoorn Diabetes Care System. Acta Ophthalmol. 2017; 96(1):63-68. PMC: 5814834. DOI: 10.1111/aos.13613. View