SynthesisJournal of diabetes science and technology2019
Diabetes Care and Management Using Electronic Medical Records: A Systematic Review.
Synthesis in Journal of diabetes science and technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07252700 (Preventing Diabetes), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Preventing Diabetes: Impact of an EMR-Based Intervention for Enhanced Pre-Diabetes Management in Primary Care
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews.Frontiers in public health · 2021Pooled it
- Prescribing Trajectories in Type 2 Diabetes in the United States, 2019-2024.Diabetes, obesity & metabolism · 2026Article
- Assessing the quality of electronic health record data and the claims linked data for target trial emulation studies.JAMIA open · 2026Article
- Structuring integration for patient-centered care: a review-informed ontology-driven modular front-end framework for digital health innovation.Frontiers in digital health · 2026Article
- Assessing Clinical Inertia on Implementing Clinical Guideline Recommendations in Patients with Type 2 Diabetes: A Clinician Survey Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Evaluation of care and clinical outcomes after the implementation of an electronic medical record system for type 1 diabetes management in Rwanda.Global health action · 2025Article
- Overcoming Challenges in Electronic Health Record Use in Inflammatory Bowel Disease Care.Gastroenterology & hepatology · 2025Article
- Integrating comprehensive geriatric assessment into routine nursing care for older adults with type 2 diabetes: implementation fidelity and clinical outcomes.Frontiers in public health · 2025Article
- Do electronic health records used by primary care practices support recommended alcohol-related care?JAMIA open · 2024Article
- Patient perspectives of diabetes care in primary care networks in Singapore: a mixed-methods study.BMC health services research · 2023Article
- Adoption of Electronic Medical Records for Chronic Disease Care in Kenyan Refugee Camps: Quantitative and Qualitative Prospective Evaluation.JMIR mHealth and uHealth · 2023Article
- Real word challenges in integrating electronic medical record and administrative health data for regional quality improvement in diabetes: a retrospective cross-sectional analysis.BMC health services research · 2023Article
- Observational
- Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review.JMIR medical informatics · 2022Review
- Bridging Gaps in Diabetic Nephropathy Care: A Narrative Review Guided by the Lived Experiences of Patient Partners.Canadian journal of kidney health and disease · 2022Review
- Comparison of Two Electronic Systems for Obtaining Diabetes Care Indicators in Clinical Practice.Clinical diabetes : a publication of the American Diabetes Association · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetes treatment and management provide a unique opportunity for examination of the effectiveness of electronic health records (EHRs) on patient health outcomes, continuity of care, and areas for further development. This systematic literature review was designed to identify the strengths and limitations of EHR and opportunities for improvement proposed in original research and recent rigorous systematic reviews.
methodsThis review utilized methodology adapted from PRISMA. Inclusion criteria for original research were published between March 2003 and November 2017; included randomized controlled trial design with participants ≥18 years of age with diabetes diagnosis ≥1 year; measured outcomes included HbA1c, blood pressure, and LDL cholesterol levels. Criteria for systematic reviews included research focused on EHR outcomes, improvement of care for patients with diabetes, prevention of adverse outcomes, web-based communication, and limitations of EHR regarding chronic disease management. Thirteen articles qualified for inclusion.
resultsMeta-synthesis of articles suggests that chronic disease patients benefit most by decision support tools that alert physicians of drug interactions, communication tools that keep them informed and engaged in their treatment regimens and detailed reporting and tracking designed to inform progress. Collective results suggest that EHR technology is advancing rapidly; however, patient outcomes documented via EHR systems remain largely unknown.
conclusionA fertile area for inquiry designed to enhance patient outcomes in diabetes and chronic disease management is determining how EHR systems can be utilized for new drug and treatment options in addition to enhancing the quality, cost-effectiveness, and continuity of care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.