Perceived Benefits, Barriers, and Facilitators of a Digital Patient-Reported Outcomes Tool for Routine Diabetes Care: Protocol for a National, Multicenter, Mixed Methods Implementation Study
Bibliographic record
Abstract
BACKGROUND: There is growing evidence that digital patient-reported outcome (PRO) questionnaires and PRO-based decision support tools may help improve the active engagement of people with diabetes in self-care, thereby improving the quality of care. However, many barriers still exist for the real-world effectiveness and implementation of such PRO tools in routine care. Furthermore, limited research has evaluated the acceptability, feasibility, and benefits of such tools across different health care settings. OBJECTIVE: This study aims to evaluate the acceptability, feasibility, and perceived benefits of the Danish digital PRO diabetes tool in different health care settings in Denmark and to determine the factors affecting its implementation. Furthermore, the study evaluates the psychometric characteristics of the Danish PRO Diabetes Questionnaire and the validity of the scoring algorithms for dialogue support. The objective of this study is to guide the ongoing optimization of the PRO diabetes tool, its implementation, and the design of future randomized controlled effectiveness studies. METHODS: We designed a multicenter, mixed methods, single-arm acceptability-feasibility implementation study protocol to contribute to the real-world pilot test of a new digital PRO diabetes tool in routine diabetes care. The use of the tool involves two main steps. First, the people with diabetes will complete a digital PRO Diabetes Questionnaire in the days before a routine diabetes visit. Second, the health care professional (HCP) will use a digital PRO tool to review the PRO results together with the people with diabetes during the visit. The PRO diabetes tool is designed to encourage and support people to take an active role for the people with diabetes in their own care and to expedite the delivery of person-centered, collaborative, and coordinated care. RESULTS: A multicenter pilot study protocol and psychometrically designed digital data collection tools for evaluation were developed and deployed as part of a national evaluation of a new digital PRO diabetes intervention. A total of 598 people with diabetes and 34 HCPs completed the study protocol by April 1, 2021. CONCLUSIONS: A large-scale, mixed methods, multicenter study for evaluating the use of the nationally developed PRO Diabetes Questionnaire in routine care across all health care sectors in Denmark by using the RE-AIM (Reach, Efficacy, Adoption, Implementation and Maintenance) model as a framework has been designed and is ongoing. This study is expected to provide new important and detailed information about the real-world acceptability, perceived relevance, and benefits of the PRO diabetes tool among a large heterogeneous population of people with diabetes in Denmark and HCPs in different care settings. The results will be used to further improve the PRO tool, design implementation facilitation support strategies, and design future controlled effectiveness studies. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/28391.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.124 | 0.076 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.039 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".