Evidence map›Paper›PMID 38233812›Full record

ArticleBMC health services research2024

Does integration with national registers improve the data completeness of local COVID-19 contact tracing tools? A register-based study in Norway, May 2020 - September 2021.

Hinta Meijerink, Mohamed Shelil, Jagrati Jani-Bølstad, Evy Therese Dvergsdal, Elisabeth Henie Madslien, Madeleine Wilberg, Ragnhild Bassøe Gundersen, Johan Ivar Sæbø, Anne Asmyr Thorseng, Bjørn Gunnar Iversen

Abstract read
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Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Hinta MeijerinkDepartment of Infection Control and Vaccines, Norwegian Institute of Public Health, Oslo, Norway. Hinta.Meijerink@fhi.no.
Mohamed ShelilDepartment of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway.
Jagrati Jani-BølstadTromsø municipality, Tromsø, Norway.
Evy Therese DvergsdalDepartment of Infectious Disease Registries, Norwegian Institute of Public Health, Oslo, Norway.
Elisabeth Henie MadslienDepartment of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway.
Madeleine WilbergDepartment of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway.
Ragnhild Bassøe GundersenUniversity of Oslo, Oslo, Norway.
Johan Ivar SæbøUniversity of Oslo, Oslo, Norway.
Anne Asmyr ThorsengUniversity of Oslo, Oslo, Norway.
Bjørn Gunnar IversenDepartment of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the COVID-19 response in Norway, many municipalities used the Fiks contact tracing tool (FiksCT) to register positive individuals and follow-up contacts. This tool is based on DHIS2, an open source, web-based platform. In this study we examined if data completeness in FiksCT improved after integration with national registers between May 2020 and September 2021.

methodsData from municipalities using FiksCT was extracted from the Norwegian Emergency Preparedness Register for COVID-19 (Beredt C19). We linked FiksCT data to the Norwegian Surveillance System for Communicable Diseases (MSIS), the National Population Register (FREG), and the Norwegian Vaccine Registry (SYSVAK) using unique identification numbers (ID). Completeness for each variable linked with a national register was calculated before and after integration with these registers.

resultsOf the 125 municipalities using FiksCT, 87 (69.6%) agreed to share and upload their data to Beredt C19. Data completeness for positive individuals improved after integration with national registers. After integration with FREG, the proportion of missing values decreased from 12.5 to 1.6% for ID, from 4.5 to 0.9% for sex, and from 1.2 to 0.4% for date of birth. Missing values for vaccine type decreased from 63.0 to 15.2% and 39.3-36.7% for first and second dose, respectively. In addition, direct reporting from FiksCT to MSIS increased the proportion of complete records in MSIS (on the selected variables) from 68.6% before to 77.0% after integration.

conclusionThe completeness of local contact tracing data can be improved by enabling integration with established national registers. In addition, providing the option to submit local data to the national registers could ease workload and reduce the need to collect duplicate data.

Indexed as

COVID-19VaccinesContact TracingHumansNorwayRegistriesVaccinesContact tracingCOVID-19Database management systemsDisease outbreaksNorwayPublic health surveillanceSystems integration

Identifiers

PMID38233812
PMCPMC10795336

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.