ArticleJournal of the American Medical Informatics Association : JAMIA2022
A model for building a national, patient-driven database to track contraceptive use in women with rare diseases.
Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- Informatics for sex- and gender-related health: understanding the problems, developing new methods, and designing new solutions.Journal of the American Medical Informatics Association : JAMIA · 2022Article
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Authors and funding
4 authors.
Funding
Abstract
Data on the safety and effectiveness of contraception among women with rare diseases are critical and sorely lacking. To fill this gap, we propose a national, patient-driven database that tracks contraceptive safety and effectiveness among women with rare diseases. We built a pilot database focusing on women with cystic fibrosis in 3 phases: (1) database design input from patients and experts, (2) merging of contraceptive survey data with relevant clinical outcomes from the Cystic Fibrosis Foundation Patient Registry (CFFPR), and (3) forming a data guide to facilitate accessible output data. We successfully linked 62 contraceptive survey variables with 362 relevant clinical outcome variables for 150 patients. This pilot represents a breakthrough in linking contraceptive data to disease-specific outcomes and informs how to build a national, patient-driven contraceptive database for women with rare diseases.
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Registered trials
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