ArticleMedical care2012
Diabetes and asthma case identification, validation, and representativeness when using electronic health data to construct registries for comparative effectiveness and epidemiologic research.
Article in Medical care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Using an Integrated Framework to Investigate the Facilitators and Barriers of Health Information Technology Implementation in Noncommunicable Disease Management: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Live Attenuated Influenza Vaccination Before 3 Years of Age and Subsequent Development of Asthma: A 14-year Follow-up Study.The Pediatric infectious disease journal · 2018Trial
- Randomized trial of telephone outreach to improve medication adherence and metabolic control in adults with diabetes.Diabetes care · 2014Trial
- An Online Tool for Correcting Performance Measures of Electronic Phenotyping Algorithms for Verification Bias.ACI open · 2024Article
- Cancer Registry Enrichment via Linkage with Hospital-Based Electronic Medical Records: A Pilot Investigation.Journal of registry management · 2024Article
- Estimating the completeness of physician billing claims for diabetes case ascertainment: a multiprovince investigation.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2023Article
- The Incidence Trend of Type 1 Diabetes among Children and Adolescents 0-14 Years of Age in the West, South, and Tripoli Regions of Libya (2009-2018)Journal of clinical research in pediatric endocrinology · 2023Article
- Primary care asthma surveillance: a review of knowledge translation tools and strategies for quality improvement.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2023Review
- Validation of Danish registry-cases of type 1 diabetes in women giving live birth using a clinical cohort as gold standard.Endocrinology, diabetes & metabolism · 2023Article
- Predicting Continuity of Asthma Care Using a Machine Learning Model: Retrospective Cohort Study.International journal of environmental research and public health · 2022Article
- Using a Constraint-Based Method to Identify Chronic Disease Patients Who Are Apt to Obtain Care Mostly Within a Given Health Care System: Retrospective Cohort Study.JMIR formative research · 2021Article
- Ranking Rule-Based Automatic Explanations for Machine Learning Predictions on Asthma Hospital Encounters in Patients With Asthma: Retrospective Cohort Study.JMIR medical informatics · 2021Article
- Electronic Medical Record Risk Modeling of Cardiovascular Outcomes Among Patients with Type 2 Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2021Article
- Using Computational Methods to Improve Integrated Disease Management for Asthma and Chronic Obstructive Pulmonary Disease: Protocol for a Secondary Analysis.JMIR research protocols · 2021Article
- Forecasting Future Asthma Hospital Encounters of Patients With Asthma in an Academic Health Care System: Predictive Model Development and Secondary Analysis Study.Journal of medical Internet research · 2021Article
- Generalizability of an Automatic Explanation Method for Machine Learning Prediction Results on Asthma-Related Hospital Visits in Patients With Asthma: Quantitative Analysis.Journal of medical Internet research · 2021Article
- Automatically Explaining Machine Learning Prediction Results on Asthma Hospital Visits in Patients With Asthma: Secondary Analysis.JMIR medical informatics · 2020Article
- Challenges involved in establishing a web-based clinical decision support tool in community health centers.Healthcare (Amsterdam, Netherlands) · 2020Article
- Developing a Predictive Model for Asthma-Related Hospital Encounters in Patients With Asthma in a Large, Integrated Health Care System: Secondary Analysis.JMIR medical informatics · 2020Article
- Does the Encounter Type Matter When Defining Diabetes Complications in Electronic Health Records?Medical care · 2020Article
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5 authors.
Funding
Abstract
backgroundAdvances in health information technology and widespread use of electronic health data offer new opportunities for development of large scale multisite disease-specific patient registries. Such registries use existing data, can be constructed at relatively low cost, include large numbers of patients, and once created can be used to address many issues with a short time between posing a question and obtaining an answer. Potential applications include comparative effectiveness research, public health surveillance, mapping and improving quality of clinical care, and others. OBJECTIVE AND DISCUSSION: This paper describes selected conceptual and practical challenges related to development of multisite diabetes and asthma registries, including development of case definitions, validation of case identification methods, variation in electronic health data sources; representativeness of registry populations, including the impact of attrition. Specific challenges are illustrated with data from actual registries.
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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.