ArticleHRB open research2024
Accessing Anonymised Data from Ireland's Maternal and Newborn Clinical Management System for Research Purposes.
Article in HRB open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Since 2016, maternity units across Ireland have been switching from paper clinical notes to an electronic health record called the Maternal and Newborn Clinical Management System (MN-CMS). Currently, four units have implemented the MN-CMS: Cork University Maternity Hospital (CUMH), University Hospital Kerry (UHK), Rotunda Hospital and National Maternity Hospital (NMH). The MN-CMS provides opportunity for new data-driven discovery to answer important research questions on maternal and child health. Aim: Provide detailed information on how a request can be made to access anonymised MN-CMS data for research purposes, as well as current timelines involved from initial request to data access. Methods: A request to collaborate should be made to the clinical lead within each maternity unit where data is being requested in the first instance. A detailed protocol and data collection sheet should be drafted and forwarded to the National Information Governance Group for approval. A Data Protection Impact Assessment should be completed, and permission to access data from each maternity unit must be applied for separately from each unit's local Ethics Committee. Upon receipt of ethical approval, an application to the Local Information Governance Group must be submitted if requesting data from CUMH and/or UHK. Data can then be extracted and anonymised by the data manager at the respective unit and transferred securely to relevant project personnel. Results: The timeline from initial request to data access can range from approximately 6-12 months, depending on number of maternity units from which data is being requested and number of variables being requested from each unit. Conclusions: Accessing MN-CMS data for research can be a complex process. A national standardised process for managing the data is needed. This would allow a clear pathway to be developed for accessing data to facilitate new data-driven discovery in the area of maternal and child health.
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Registered trials
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