Digital Outpatient Care for Patients With Type 1 Diabetes (DigiDiaS): Pragmatic Observational Pre-Post Study.
Patient-reported outcomes in digital health solutions can offer patients with type 1 diabetes an opportunity to voice their needs in outpatient care, enabling clinicians to tailor support. Evidence on long-term health impact and routine integration of such digital solutions outside controlled settings is limited.
This study aimed to compare a flexible digital supplement to outpatient care for type 1 diabetes (DigiDiaS) with usual care over 1 year, with self-management as the primary outcome and glycemic control and well-being as secondary outcomes.
This longitudinal real-world observational pre-post study was conducted at the Endocrinology Department of Akershus University Hospital in Norway. Adults with type 1 diabetes were recruited consecutively from October 2022 to October 2023 and could choose either the digital mobile health (mHealth)-based outpatient care model-"DigiDiaS" care-or usual care. DigiDiaS care is delivered via a smartphone app and includes a messaging service; patient-reported outcome-based preconsultation questionnaires; video, telephone, and in-person consultations; and an individually tailored information section. Outcome data comprised self-reported measures, clinical data extracted from electronic medical records, the national diabetes registry, and the digital platform. Data were collected at baseline and at the 1-year follow-up. Change in self-management (Patient Activation Measure short version [PAM-13]; primary outcome) and the secondary outcomes well-being (Five Well-Being Index [WHO-5]) and glycemic control (glycated hemoglobin [HbA1c]) were analyzed using a generalized linear model. Utilization of the digital solution and health care services was also explored.
We included 237 patients, with 185 (78%) opting for DigiDiaS care and 52 (22%) for usual care. At the follow-up, most participants (145/178, 81%) in the DigiDiaS care group used the digital solution. The messaging service was the most utilized feature with 592 messages sent collectively (median 1, min-max 0-57). There were no statistically significant between-group differences in change from baseline to follow-up in self-management (mean difference 1.18, 95% CI -5.2 to 7.6; P=.72), glycemic control (HbA1c mean difference -2.1, 95% CI -6.6 to 2.4; P=.36), or well-being (mean difference 1.9, 95% CI -3.1 to 6.9; P=.46). Health care utilization did not differ between the groups, including participation in one or more individual consultations during the 1-year follow-up (DigiDiaS care: 159/178, 89%; usual care: 42/50, 84%; P=.30) or appointment cancellations (DigiDiaS care: 64/91, 70%; usual care: 13/18, 72%; P=.20).
This real-world pragmatic observational comparison under routine conditions demonstrates that reorganizing outpatient care for patients with type 1 diabetes into a flexible digital model, DigiDiaS care, did not result in statistically significant between-group differences in health outcomes, including self-management, glycemic control, and well-being, compared with usual care. Over 80% of participants in DigiDiaS care utilized the digital solution, with patient-initiated asynchronous messaging as the most frequently used feature.
RR2-10.2196/52766.
This study aimed to compare a flexible digital supplement to outpatient care for type 1 diabetes (DigiDiaS) with usual care over 1 year, with self-management as the primary outcome and glycemic control and well-being as secondary outcomes.
This longitudinal real-world observational pre-post study was conducted at the Endocrinology Department of Akershus University Hospital in Norway. Adults with type 1 diabetes were recruited consecutively from October 2022 to October 2023 and could choose either the digital mobile health (mHealth)-based outpatient care model-"DigiDiaS" care-or usual care. DigiDiaS care is delivered via a smartphone app and includes a messaging service; patient-reported outcome-based preconsultation questionnaires; video, telephone, and in-person consultations; and an individually tailored information section. Outcome data comprised self-reported measures, clinical data extracted from electronic medical records, the national diabetes registry, and the digital platform. Data were collected at baseline and at the 1-year follow-up. Change in self-management (Patient Activation Measure short version [PAM-13]; primary outcome) and the secondary outcomes well-being (Five Well-Being Index [WHO-5]) and glycemic control (glycated hemoglobin [HbA1c]) were analyzed using a generalized linear model. Utilization of the digital solution and health care services was also explored.
We included 237 patients, with 185 (78%) opting for DigiDiaS care and 52 (22%) for usual care. At the follow-up, most participants (145/178, 81%) in the DigiDiaS care group used the digital solution. The messaging service was the most utilized feature with 592 messages sent collectively (median 1, min-max 0-57). There were no statistically significant between-group differences in change from baseline to follow-up in self-management (mean difference 1.18, 95% CI -5.2 to 7.6; P=.72), glycemic control (HbA1c mean difference -2.1, 95% CI -6.6 to 2.4; P=.36), or well-being (mean difference 1.9, 95% CI -3.1 to 6.9; P=.46). Health care utilization did not differ between the groups, including participation in one or more individual consultations during the 1-year follow-up (DigiDiaS care: 159/178, 89%; usual care: 42/50, 84%; P=.30) or appointment cancellations (DigiDiaS care: 64/91, 70%; usual care: 13/18, 72%; P=.20).
This real-world pragmatic observational comparison under routine conditions demonstrates that reorganizing outpatient care for patients with type 1 diabetes into a flexible digital model, DigiDiaS care, did not result in statistically significant between-group differences in health outcomes, including self-management, glycemic control, and well-being, compared with usual care. Over 80% of participants in DigiDiaS care utilized the digital solution, with patient-initiated asynchronous messaging as the most frequently used feature.
RR2-10.2196/52766.
Authors
Spildo Spildo, Holmen Holmen, Lunde Jensen Lunde Jensen, Hagen Hagen, Singstad Singstad, Winther Winther, Arsand Arsand, Torbjørnsen Torbjørnsen
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