ArticleBMJ open2021
Linking cohort-based data with electronic health records: a proof-of-concept methodological study in Hong Kong.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
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- Impact of Simulated Risk Factor Management on Cardiovascular Disease and Costs in Type 2 Diabetes Using the ABC Model.Diabetes, obesity & metabolism · 2026Article
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- Cardio-Renal Diseases Are Independent Risk Factors of Severe Human Metapneumovirus Infection Among Patients Without Chronic Airway Diseases.Journal of medical virology · 2026Article
- Effectiveness of Antivirals Nirmatrelvir-Ritonavir and Molnupiravir in Viral Sepsis: Retrospective Cohort Study.JMIR public health and surveillance · 2025Article
- Medical Comorbidities as the Independent Risk Factors of Severe Adenovirus Respiratory Tract Infection in Adults.Microorganisms · 2025Article
- In-Hospital Mortality and Severe Respiratory and Renal Outcomes-A Territory-Wide Comparison Between RSV and Influenza.Influenza and other respiratory viruses · 2025Article
- Cardiovascular disease incidence and its predictors among school teachers in Peninsular Malaysia: a prospective cohort study.Industrial health · 2025Article
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- The effect of long-term alendronic acid treatment on Modic changes in the lumbar spine: a gender and age-matched study.Journal of orthopaedic surgery and research · 2024Article
- Validation of Diagnostic Coding for Asthma in an Electronic Health Record System in Hong Kong.Journal of asthma and allergy · 2023Article
- Improving Cohort-Hospital Matching Accuracy through Standardization and Validation of Participant Identifiable Information.Children (Basel, Switzerland) · 2022Article
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesData 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.
methodsParticipants 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.
resultsIn 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.
conclusionsUsing 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.
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