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A Quality Study of a Medical Birth Registry
Abstract
A quality control study was made of the Swedish Medical Birth Registry. This registry used one mode of data collection during 1973-1981 and another from 1982 onwards. The number of errors in the register was checked by comparing register information with a sample of the original medical records, and the variability in the use of diagnoses between hospitals was studied. Different types of errors were identified and quantified and the efficiency of the two methods of data collection evaluated.
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“We based our study on the Swedish Medical Birth Register (MBR), which contains approximately 99% of all deliveries occurring in the country [28].”
From The effect of swedish snuff (snus) on offspring birthweight: a sibling analysis (2013) · cites this paper as [28]
In the citing paper
“Our analyses are based on a nationwide birth registry covering nearly 99% of the deliveries occurring in Sweden [28].”
From The effect of swedish snuff (snus) on offspring birthweight: a sibling analysis (2013) · cites this paper as [28]
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“28”
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“37,38 Further, the number of included cases and controls in our study is substantial, which often increases the power in the conditional logistic analyses.”
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Metadata
- Authors
- Cnattingius, S., Ericson, A., Gunnarskog, J., & Källén, B.
- Affiliations
- National Board of Health and Welfare (SE)
- Lund University (SE)
- Venue
- Scandinavian Journal of Social Medicine
- Publisher
- SAGE Publications
- Published
- 1990-06
- Volume
- 18
- Issue
- 2
- Pages
- 143-148
- ISSN
- 0300-8037 (ISSN-L)
- OpenAlex
- W2035263233
- Cited by
- 972
- References
- 14
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 27 · 2023: 27 · 2022: 26 · 2021: 32 · 2020: 46 · 2019: 31 · 2018: 26 · 2017: 34 · 2016: 36 · 2015: 39 · 2014: 38 · 2013: 45 · 2012: 44
- FWCI
- 31.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Scandinavian Journal of Social Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Physical Sciences › Computer Science › Information Systems › Data Quality and Management
- Keywords
- medical birth registry, data quality, data errors, medical records, hospital diagnoses, interhospital variation, data collection methods, quality control
- MeSH terms
- Birth Certificates, Diagnosis, Humans, Infant, Newborn, Medical Records, Quality Control, Registries, Sweden
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