دورية أكاديمية
Novel linkage approach to join community-acquired and national data.
| العنوان: | Novel linkage approach to join community-acquired and national data. |
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| المؤلفون: | Tochel C; Centre for Medical Informatics, University of Edinburgh, Edinburgh, UK. ctochel@ed.ac.uk., Pead E; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK., McTrusty A; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK., Buckmaster F; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK., MacGillivray T; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK., Tatham AJ; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.; Princess Alexandra Eye Pavilion, NHS Lothian, Edinburgh, UK., Strang NC; Department of Vision Sciences, Glasgow Caledonian University, Glasgow, UK., Dhillon B; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.; Princess Alexandra Eye Pavilion, NHS Lothian, Edinburgh, UK., Bernabeu MO; Centre for Medical Informatics, University of Edinburgh, Edinburgh, UK. |
| المصدر: | BMC medical research methodology [BMC Med Res Methodol] 2024 Jan 17; Vol. 24 (1), pp. 13. Date of Electronic Publication: 2024 Jan 17. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: London : BioMed Central, [2001- |
| مواضيع طبية MeSH: | Medical Record Linkage* , Medical Records*, Humans ; Medical Records Systems, Computerized ; Data Collection ; Scotland |
| مستخلص: | Background: Community optometrists in Scotland have performed regular free-at-point-of-care eye examinations for all, for over 15 years. Eye examinations include retinal imaging but image storage is fragmented and they are not used for research. The Scottish Collaborative Optometry-Ophthalmology Network e-research project aimed to collect these images and create a repository linked to routinely collected healthcare data, supporting the development of pre-symptomatic diagnostic tools. Methods: As the image record was usually separate from the patient record and contained minimal patient information, we developed an efficient matching algorithm using a combination of deterministic and probabilistic steps which minimised the risk of false positives, to facilitate national health record linkage. We visited two practices and assessed the data contained in their image device and Practice Management Systems. Practice activities were explored to understand the context of data collection processes. Iteratively, we tested a series of matching rules which captured a high proportion of true positive records compared to manual matches. The approach was validated by testing manual matching against automated steps in three further practices. Results: A sequence of deterministic rules successfully matched 95% of records in the three test practices compared to manual matching. Adding two probabilistic rules to the algorithm successfully matched 99% of records. Conclusions: The potential value of community-acquired retinal images can be harnessed only if they are linked to centrally-held healthcare care data. Despite the lack of interoperability between systems within optometry practices and inconsistent use of unique identifiers, data linkage is possible using robust, almost entirely automated processes. (© 2024. The Author(s).) |
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| فهرسة مساهمة: | Keywords: Community optometry; Data linkage; Early disease detection; Image analysis; Longitudinal data |
| تواريخ الأحداث: | Date Created: 20240117 Date Completed: 20240119 Latest Revision: 20240121 |
| رمز التحديث: | 20240121 |
| مُعرف محوري في PubMed: | PMC10792819 |
| DOI: | 10.1186/s12874-024-02143-3 |
| PMID: | 38233744 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 1471-2288 |
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| DOI: | 10.1186/s12874-024-02143-3 |