ArticleInternational journal of healthcare information systems and informatics : official publication of the Information Resources Management Association2018
Utilizing Combined Claims and Clinical Datasets for Research Among Potential Cases of Rare Diseases.
Article in International journal of healthcare information systems and informatics : official publication of the Information Resources Management Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed.
- Article
- Comparative estimation of the spread of acute diarrhea and dengue in India using statistical mathematical and deep learning models.Scientific reports · 2025Article
- Evaluation of clinical characteristics, health care resource utilization, and cost outcomes of hemophilia A carriers and noncarriers in the United States: A real-world comparative analysis.Journal of managed care & specialty pharmacy · 2023Observational
- Data Challenges for Externally Controlled Trials: Viewpoint.Journal of medical Internet research · 2023Article
- Prevention and awareness of birth defects across the lifespan using examples from congenital heart defects and spina bifida.Birth defects research · 2022Article
- Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia.PLoS neglected tropical diseases · 2020Article
- Summary of Selected Healthcare Encounters among a Selection of Patients with Myotonic Muscular Dystrophy.Southern medical journal · 2019Article
- 30-day all-cause readmission rates among a cohort of individuals with rare conditions.Disability and health journal · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
With data quality issues with administrative claims and medically derived datasets, a dataset derived from a combination of sources may be more effective for research. The purposes of this article is to link an EMR-based data warehouse with state administrative data to study individuals with rare diseases; to describe and compare their characteristics; and to explore research with the data. These methods included subjects with diagnosis codes for one of three rare diseases from the years 2009-2014; Spina Bifida, Muscular Dystrophy, and Fragile X Syndrome. The results from the combined data provides additional information that each dataset, by itself, would not contain. The simultaneous examination of data such as race/ethnicity, physician and other outpatient visit data, charges and payments, and overall utilization was possible in the combined dataset. It is also discussed that combining such datasets can be a useful tool for the study of populations with rare diseases.
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Registered trials
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