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High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
Published on: April 23, 2019
High concordance between self-reported medication and official prescription database information
Jari Haukka1, Jaana Suvisaari, Annamari Tuulio-Henriksson
1Department for Mental Health and Alcohol Research, Mannerheimintie 166, 00300, Helsinki, Finland. jari.haukka@ktl.fi
European Journal of Clinical Pharmacology
|August 23, 2007
Summary
Self-reported psychotropic medication use largely agrees with official prescription data, especially for lithium, antipsychotics, and antidepressants. This study validates patient recall against administrative records for medication adherence.
Area of Science:
- Psychiatry
- Pharmacology
- Health Informatics
Background:
- Accurate medication data is crucial for clinical care and research.
- Discrepancies between self-report and administrative data can impact treatment and study validity.
Purpose of the Study:
- To compare the agreement between self-reported psychotropic medication use and administrative prescription data.
- To assess concordance for specific drug classes and antipsychotic dosages.
Main Methods:
- Study population: 905 participants from a genetic study (schizophrenia, bipolar disorder, unaffected controls).
- Data sources: In-person interviews for self-reported use and Finnish Social Insurance Institution prescription database.
- Analysis: Cohen's kappa statistic and correlation coefficients for agreement.
Main Results:
- Good agreement observed between self-report and prescription data for most psychotropic medications.
- Highest agreement for lithium (kappa=0.96), followed by antipsychotics (kappa=0.87) and antidepressants (kappa=0.77).
- Lowest agreement for benzodiazepines (kappa=0.42); strong correlation (0.79) for antipsychotic dosage.
Conclusions:
- Self-reported psychotropic medication use is generally concordant with official prescription records.
- Findings support the reliability of self-reported data for key psychiatric medications.
- Further research is recommended for other medication types and diverse patient populations.
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