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Varmdal T, Løchen ML, Wilsgaard T, et al. Data from national health registers as endpoints for the Tromsø Study: Correctness and completeness of stroke diagnoses. Scand J Public Health. 2021;14034948211021191doi: 10.1177/14034948211021191.
Varmdal, T., Løchen, M. L., Wilsgaard, T., Njølstad, I., Nyrnes, A., Grimsgaard, S., & Mathiesen, E. B. (2021). Data from national health registers as endpoints for the Tromsø Study: Correctness and completeness of stroke diagnoses. Scandinavian journal of public health, 14034948211021191. https://doi.org/10.1177/14034948211021191
Varmdal, Torunn, et al. "Data from national health registers as endpoints for the Tromsø Study: Correctness and completeness of stroke diagnoses." Scandinavian journal of public health vol. (2021): 14034948211021191. doi: https://doi.org/10.1177/14034948211021191
Varmdal T, Løchen ML, Wilsgaard T, Njølstad I, Nyrnes A, Grimsgaard S, Mathiesen EB. Data from national health registers as endpoints for the Tromsø Study: Correctness and completeness of stroke diagnoses. Scand J Public Health. 2021 Jun 14;14034948211021191. doi: 10.1177/14034948211021191. Epub 2021 Jun 14. PMID: 34120523.
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Scand J Public Health. 2021 Jun 14;14034948211021191. doi: 10.1177/14034948211021191. Epub 2021 Jun 14.

Data from national health registers as endpoints for the Tromsø Study: Correctness and completeness of stroke diagnoses.

Scandinavian journal of public health

Torunn Varmdal, Maja-Lisa Løchen, Tom Wilsgaard, Inger Njølstad, Audhild Nyrnes, Sameline Grimsgaard, Ellisiv B Mathiesen

Affiliations

  1. UiT The Arctic University of Norway, Tromsø, Norway.
  2. Norwegian University of Science and Technology, Trondheim, Norway.
  3. University Hospital of North Norway, Tromsø, Norway.

PMID: 34120523 DOI: 10.1177/14034948211021191

Abstract

AIM: To assess whether stroke diagnoses in national health registers are sufficiently correct and complete to replace manual collection of endpoint data for the Tromsø Study, a population-based epidemiological study.

METHOD: Using the Tromsø Study Cardiovascular Disease Register for 2013-2014 as the gold standard, we calculated correctness (defined as positive predictive value, PPV) and completeness (defined as sensitivity) of stroke cases in four different data subsets derived from the Norwegian Patient Register and the Norwegian Stroke Register. We calculated the sensitivity and PPV with 95% confidence intervals (CIs) assuming a normal approximation of the binomial distribution.

RESULTS: In the Norwegian Stroke Register we found a sensitivity of 79.8% (95% CI 74.2-85.4) and a PPV of 97.5% (95% CI 95.1-99.9). In the Norwegian Patient Register the sensitivity was 86.4% (95% CI 81.6-91.1) and the PPV was 84.2% (95% CI 79.2-89.2). The overall highest levels were found in a subset based on a linkage between the Norwegian Stroke Register and the Norwegian Patient Register, with a sensitivity of 88.9% (95% CI 84.5-93.3), and a PPV of 89.3% (95% CI 85.0-93.6).

CONCLUSIONS: Data from the Norwegian Patient Register and from the linked data set between the Norwegian Patient Register and the Norwegian Stroke Register had acceptable levels of correctness and completeness to be considered as endpoint sources for the Tromsø Study Cardiovascular Disease Register. The benefits of using data from national registers as endpoints in epidemiological studies must be weighed against the impact of potentially decreased data quality.

Keywords: Cardiovascular diseases; data collection; data quality; quality control; registers

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