Linking cohort-based data with electronic health records: a proof-of-concept methodological study in Hong Kong.
Autor: | Gao L; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong., Leung MTY; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.; Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong, Hong Kong., Li X; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.; Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong, Hong Kong.; Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong., Chui CSL; Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong, Hong Kong.; School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong., Wong RSM; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.; Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.; Department of Social Work and Social Administration, Faculty of Social Science, The University of Hong Kong, Hong Kong, Hong Kong., Au Yeung SL; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong., Chan EWW; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.; Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong, Hong Kong., Chan AYL; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.; Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong, Hong Kong.; Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, -Epidemiology and -Economics, University of Groningen, Groningen, The Netherlands., Chan EW; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.; Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong, Hong Kong., Wong WHS; Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong., Lee TMC; Department of Psychology, The University of Hong Kong, Hong Kong, Hong Kong., Rao N; Faculty of Education, The University of Hong Kong, Hong Kong, Hong Kong., Wing YK; Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong., Lum TYS; Department of Social Work and Social Administration, Faculty of Social Science, The University of Hong Kong, Hong Kong, Hong Kong., Leung GM; Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong, Hong Kong.; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong., Ip P; Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong., Wong ICK; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong wongick@hku.hk.; Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong, Hong Kong.; Research Department of Practice and Policy, UCL School of Pharmacy, University College London, London, UK. |
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Jazyk: | angličtina |
Zdroj: | BMJ open [BMJ Open] 2021 Jun 22; Vol. 11 (6), pp. e045868. Date of Electronic Publication: 2021 Jun 22. |
DOI: | 10.1136/bmjopen-2020-045868 |
Abstrakt: | Objectives: Data linkage of cohort-based data and electronic health records (EHRs) has been practised in many countries, but in Hong Kong there is still a lack of such research. To expand the use of multisource data, we aimed to identify a feasible way of linking two cohorts with EHRs in Hong Kong. Methods: Participants in the 'Children of 1997' birth cohort and the Chinese Early Development Instrument (CEDI) cohort were separated into several batches. The Hong Kong Identity Card Numbers (HKIDs) of each batch were then uploaded to the Hong Kong Clinical Data Analysis and Reporting System (CDARS) to retrieve EHRs. Within the same batch, each participant has a unique combination of date of birth and sex which can then be used for exact matching, as no HKID will be returned from CDARS. Raw data collected for the two cohorts were checked for the mismatched cases. After the matching, we conducted a simple descriptive analysis of attention deficit hyperactivity disorder (ADHD) information collected in the CEDI cohort via the Strengths and Weaknesses of ADHD Symptoms and Normal Behaviour Scale (SWAN) and EHRs. Results: In total, 3473 and 910 HKIDs in the birth cohort and CEDI cohort were separated into 44 and 5 batches, respectively, and then submitted to the CDARS, with 100% and 97% being valid HKIDs respectively. The match rates were confirmed to be 100% and 99.75% after checking the cohort data. From our illustration using the ADHD information in the CEDI cohort, 36 (4.47%) individuals had ADHD-Combined score over the clinical cut-off in the SWAN survey, and 68 (8.31%) individuals had ADHD records in EHRs. Conclusions: Using date of birth and sex as identifiable variables, we were able to link the cohort data and EHRs with high match rates. This method will assist in the generation of databases for future multidisciplinary research using both cohort data and EHRs. Competing Interests: Competing interests: None declared. (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.) |
Databáze: | MEDLINE |
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