Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Research Protocols

Date Submitted: Dec 13, 2025
Open Peer Review Period: Dec 16, 2025 - Jan 8, 2026
Date Accepted: Feb 20, 2026
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Evaluating Patient-Entered Electronic Health Data as a Strategy to Improve Quality of Care in a Diabetes Clinic: Protocol for a Randomized Controlled Trial

Hunter-Schouela J, Ure L, Zuijdwijk C, Abou-Assaly E, Ahmet A, de Boer J, Khatchadourian K, Kutcher SA, Lawrence S, Reddy D, Webster R, Goldbloom EB

Evaluating Patient-Entered Electronic Health Data as a Strategy to Improve Quality of Care in a Diabetes Clinic: Protocol for a Randomized Controlled Trial

JMIR Res Protoc 2026;15:e89519

DOI: 10.2196/89519

PMID: 42102260

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Can We Improve Quality of Care in a Diabetes Clinic Through Patient-Entered Electronic Health Data?: Protocol for a Randomized Controlled Trial

  • Julia Hunter-Schouela; 
  • Lindsey Ure; 
  • Caroline Zuijdwijk; 
  • Elias Abou-Assaly; 
  • Alexandra Ahmet; 
  • Jennifer de Boer; 
  • Karine Khatchadourian; 
  • Stephen A Kutcher; 
  • Sarah Lawrence; 
  • Deepti Reddy; 
  • Richard Webster; 
  • Ellen B Goldbloom

ABSTRACT

Background:

Quality care for pediatric type 1 diabetes (T1D) requires frequent, multidisciplinary visits. Technological and clinical innovation have led to changes in T1D management resulting in increasing data exchange required during these visits. Capturing comprehensive personal health and diabetes-related information discretely and integrating it into the clinical workflow is critical for optimal T1D care, but time consuming. Time spent on data transfer often results in less time for holistic care, and can result in unmet needs for patients, families and health care providers, and increased time pressures in clinic. To address this, the Children’s Hospital of Eastern Ontario (CHEO) developed a caregiver proxy-reported questionnaire distributed via the MyChart® patient portal, allowing families to input care information ahead of visits, with the aim of dedicating more clinic time to personalized care. The launch of this tool that integrates caregiver-entered information directly into the physician’s documentation workflow, brings the opportunity to systematically evaluate its impact on care quality and efficiency, with potential implications for broader adoption.

Objective:

Our objective is to evaluate the impact of a caregiver proxy-reported, EHR-integrated pre-clinic questionnaire (MyChart questionnaire) on the quality of care in a pediatrics diabetes clinic, through measurement of its impact on caregiver-perceived quality of care compared to standard of care using two validated measures of care quality. We also aim to explore the impact of the intervention on glycemic control and visit efficiency.

Methods:

We conducted a single-centre, parallel-group randomized controlled trial designed for 222 children with T1D. Participants were randomly allocated in a 1:1 ratio to either the intervention (MyChart questionnaire) or standard care. Our primary outcome is caregiver-perceived quality of care as measured by the Patient’s Evaluation of the Quality of Diabetes Care (PEQD) at 8 months, administered with caregivers serving as proxy respondents for patients. Secondary outcomes are the PEQD at 4 months and Perceived Quality of Medical Care (PQMC) at 4 and 8 months. Tertiary outcomes include glycemic control and physician-reported visit efficiency at 4 and 8 months. ANCOVA models will be used to assess changes between baseline and post-intervention outcomes across treatment groups.

Results:

Recruitment for this study began in April 2023, and was completed in February of 2024, with a total of 139 participants successfully enrolled. Data collection has concluded, and the first results are expected in the spring of 2026.

Conclusions:

This study is the first randomized trial to assess the impact of a caregiver proxy-reported, EHR-integrated, pre-clinic questionnaire distributed via a patient portal on caregiver-perceived quality of care in a pediatric care setting. Results will guide changes in health service infrastructure and delivery to enhance comprehensive data capture and improve care quality within and beyond pediatric T1D. Clinical Trial: ClinicalTrials.gov NCT05979077; https://clinicaltrials.gov/study/NCT05979077?term=NCT05979077&rank=1


 Citation

Please cite as:

Hunter-Schouela J, Ure L, Zuijdwijk C, Abou-Assaly E, Ahmet A, de Boer J, Khatchadourian K, Kutcher SA, Lawrence S, Reddy D, Webster R, Goldbloom EB

Evaluating Patient-Entered Electronic Health Data as a Strategy to Improve Quality of Care in a Diabetes Clinic: Protocol for a Randomized Controlled Trial

JMIR Res Protoc 2026;15:e89519

DOI: 10.2196/89519

PMID: 42102260

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© 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.