ArticleInternational journal of methods in psychiatric research2024
Enhancing the accuracy of register-based metrics: Comparing methods for handling overlapping psychiatric register entries in Finnish healthcare registers.
Article in International journal of methods in psychiatric research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Household income during childhood and risk of youth suicide attempts and deaths: a register-based study from Finland.Social psychiatry and psychiatric epidemiology · 2026Article
- Revictimization and Mental Health Service Use in Intimate Partner Violence: A Comparison of Single and Multiple Reports Using Linked Police and Health Registers.The International journal of social psychiatry · 2026Article
- Household income and first psychiatric hospital admissions among children and adolescents.The International journal of social psychiatry · 2026Article
- Discrepancies in the register of primary health care visits: a 6-year time series study from Finland.Primary health care research & development · 2025Article
- Lifetime incidence and age of onset of mental disorders, and 12-month service utilization in primary and secondary care: a Finnish nationwide registry study.Epidemiology and psychiatric sciences · 2025Article
- Enhancing the accuracy of register-based metrics: Comparing methods for handling overlapping psychiatric register entries in Finnish healthcare registers.International journal of methods in psychiatric research · 2024Article
- Enhancing identification of nonaffective psychosis in register-based studies.Schizophrenia (Heidelberg, Germany) · 2024Article
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5 authors.
Funding
Abstract
objectivesHealthcare registers are invaluable resources for research. Partly overlapping register entries and preliminary diagnoses may introduce bias. We compare various methods to address this issue and provide fully reproducible open-source R scripts.
methodsWe used all Finnish healthcare registers 1969-2020, including inpatient, outpatient and primary care. Four distinct models were formulated based on previous reports to identify actual admissions, discharges, and discharge diagnoses. We calculated the annual number of treatment events and patients, and the median length of hospital stay (LOS). We compared these metrics to non-processed data. Additionally, we analyzed the lifetime number of individuals with registered mental disorders.
resultsOverall, 2,130,468 individuals had a registered medical contact related to mental disorders. After processing, the annual number of inpatient episodes decreased by 5.85%-10.87% and LOS increased by up to 3 days (27.27%) in years 2011-2020. The number of individuals with lifetime diagnoses reduced by more than 1 percent point (pp) in two categories: schizophrenia spectrum (3.69-3.81pp) and organic mental disorders (1.2-1.27pp).
conclusionsThe methods employed in pre-processing register data significantly impact the number of inpatient episodes and LOS. Regarding lifetime incidence of mental disorders, schizophrenia spectrum disorders require a particular focus on data pre-processing.
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