Accepted for/Published in: JMIR Human Factors
Date Submitted: Dec 19, 2024
Date Accepted: May 12, 2025
Exploring Clinicians’ and Patients’ Acceptance and Utilization of a Digital Solution to Support Individualized Care in Diabetes Specialist Outpatient Care (DigiDiaS): A Qualitative Study
ABSTRACT
Background:
With the increasing prevalence of type 1 diabetes alongside limited healthcare resources, the need for more sustainable healthcare services is apparent. Central to ensuring the standard of diabetes care while simultaneously optimizing resource utilization is improved patient-clinician communication and the provision of individualized care. Digital outpatient solutions with patient-reported outcome measures (PROMs) have been introduced in diabetes outpatient care in recent years; however, features and delivery methods differ, and extant studies into their use and perceived clinical value are limited. Furthermore, clinicians’ acceptance has been suggested as a key factor in the sustainability of digital solutions after implementation. Thus, to support implementation of digital outpatient solutions perceived as valuable by clinicians and patients, we need more knowledge about how they are accepted and utilized in clinical practice.
Objective:
This study explores how clinicians and patients with type 1 diabetes accept and utilize a digital solution to support individualized care in the context of full-scale implementation at a diabetes specialist outpatient clinic.
Methods:
This qualitative study investigates a digital outpatient solution, designed to support clinician-patient communication and individualized care using interpretive description as a methodological approach. The digital outpatient solution contains different features, including PROM questionnaires, asynchronous chat, remote consultations, e-learning, and information distribution. Data were collected through semi-structured interviews with 10 clinicians and 20 patients with type 1 diabetes and observations of consultations. The data from the patient and clinician interviews were analyzed separately, before being jointly analyzed in the context of the findings from the observations. The findings are presented through main themes.
Results:
Our analysis resulted in the following three main themes that describe the interplay between clinicians’ and patients’ acceptance, utilization, and perceived clinical value of a digital outpatient solution: (1) Clinicians’ acceptance of the digital outpatient solution influences patients’ acceptance; (2) variations in the use of different features influence the extent of individualized care; and (3) clinicians’ and patients’ utilization influences perceived care efficiency and quality. Those who demonstrated higher acceptance and more extensive utilization reported the solution as being more valuable at enhancing individualized care efficiency and quality.
Conclusions:
This study highlights the interplay between clinicians’ and patients’ acceptance, utilization, and perceived clinical value of a digital outpatient solution in diabetes specialist outpatient care. Our findings suggest that when clinicians and patients understand why and how digital solutions are used, such solutions can enhance care efficiency and quality, contributing to sustainable healthcare. Future research should seek an in-depth understanding of clinicians' and patients' acceptance, as well as the use of change management strategies when implementing digital outpatient solutions in diabetes specialist outpatient care.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.