ArticleEuropean journal of epidemiology2022
Biases arising from linked administrative data for epidemiological research: a conceptual framework from registration to analyses.
Article in European journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
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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
33 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Validity of administrative health data case definitions for identifying polycystic ovary syndrome: a systematic review and meta-analysis.Human reproduction (Oxford, England) · 2025Pooled it
- Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations.The Lancet. Digital health · 2025Pooled it
- An Expert-Derived Data-Driven Approach to Identifying Medicaid Children at Risk of Out-of-Home Placement: Development, Application, and Data-Sharing Considerations.Medical care · 2026Article
- Cardiovascular Disease Incidence and Lipid-Lowering Medication Use in Korean Adults With Dyslipidemia: A Nationwide Population-Based Retrospective Cohort Study From 2010 to 2019.Journal of lipid and atherosclerosis · 2026Article
- Data Resource Profile: Australia's Person Level Integrated Data Asset (PLIDA).International journal of epidemiology · 2026Article
- Risk of Major Adverse Cardiovascular Events With Dolutegravir Versus Efavirenz-Based Antiretroviral Therapy: Emulated Target Trials Using Routine, De-identified Data From South Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026Article
- Identifying and mitigating bias in multiple aspects of modern clinical research.Communications medicine · 2026Review
- Accuracy of administrative data in ascertaining health conditions: a systematic review.JAMIA open · 2026Review
- Evaluation of the Accuracy of Probabilistic Record Linkage Across Sociodemographic Categories in 4 Databases: Exploratory Study.JMIR formative research · 2026Article
- Chronic Obstructive Pulmonary Disease and Multimorbidity: Insights from a National Claims Administrative Database.International journal of chronic obstructive pulmonary disease · 2026Article
- Mapping social determinants of cognitive health in Canada: a scoping review.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2025Article
- Occupational differences in COVID-19 hospital admission and mortality risks between women and men in Scotland: a population-based study using linked administrative data.Occupational and environmental medicine · 2025Article
- Examining the Potential Mediating Role of Maternal Mental Health in the Association Between Socioeconomic Deprivation and Child Development Outcomes.Maternal and child health journal · 2025Article
- Impact of Primary Health Care Data Quality on Infectious Disease Surveillance in Brazil: Case Study.JMIR public health and surveillance · 2025Article
- Leveraging Administrative Health Databases to Address Health Challenges in Farming Populations: Scoping Review and Bibliometric Analysis (1975-2024).JMIR public health and surveillance · 2025Article
- Epidemiological methods in transition: Minimizing biases in classical and digital approaches.PLOS digital health · 2025Review
- Child welfare worker perspectives on documentation and case recording practices in Canada: A mixed-methods study protocol.PloS one · 2025Article
- Estimating households and populations from primary care electronic health records: comparison with Office for National Statistics Census 2021 aggregated estimates.International journal of population data science · 2025Article
- Article
- Prenatal maternal infections and early childhood developmental outcomes: analysis of linked administrative health data for Greater Glasgow & Clyde, Scotland.Journal of child psychology and psychiatry, and allied disciplines · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Linked administrative data offer a rich source of information that can be harnessed to describe patterns of disease, understand their causes and evaluate interventions. However, administrative data are primarily collected for operational reasons such as recording vital events for legal purposes, and planning, provision and monitoring of services. The processes involved in generating and linking administrative datasets may generate sources of bias that are often not adequately considered by researchers. We provide a framework describing these biases, drawing on our experiences of using the 100 Million Brazilian Cohort (100MCohort) which contains records of more than 131 million people whose families applied for social assistance between 2001 and 2018. Datasets for epidemiological research were derived by linking the 100MCohort to health-related databases such as the Mortality Information System and the Hospital Information System. Using the framework, we demonstrate how selection and misclassification biases may be introduced in three different stages: registering and recording of people's life events and use of services, linkage across administrative databases, and cleaning and coding of variables from derived datasets. Finally, we suggest eight recommendations which may reduce biases when analysing data from administrative sources.
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Registered trials
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