Evidence map›Paper›PMID 42469705›Full record

ArticleBMC primary care2026

Self-reported infections in Norway: a study of incidence, doctor visits, antibiotic use, and absence from work.

Ingrid K Rebnord, Knut Erik Emberland, Ingeborg Forthun, Siri Waage, Guri Rortveit, Bjørn Bjorvatn

Abstract read
In one paragraph

Article in BMC primary care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ingrid K RebnordDepartment of Global Public Health and Primary Care, University of Bergen, Årstadveien 17, Bergen, N-5009, Norway. Ingrid.rebnord@uib.no.ORCID https://orcid.org/0000-0002-1975-7404
Knut Erik EmberlandDepartment of Global Public Health and Primary Care, University of Bergen, Årstadveien 17, Bergen, N-5009, Norway.
Ingeborg ForthunDepartment of Disease Burden, Norwegian Institute of Public Health, Bergen, Norway.
Siri WaageDepartment of Global Public Health and Primary Care, University of Bergen, Årstadveien 17, Bergen, N-5009, Norway.
Guri RortveitNorwegian Institute of Public Health, Oslo, Norway.
Bjørn BjorvatnDepartment of Global Public Health and Primary Care, University of Bergen, Årstadveien 17, Bergen, N-5009, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfections are common and frequently lead to doctor visits, use of antibiotics, and absence from work.

objectiveTo investigate frequency of different self-reported infections and the impact on doctor visits, antibiotic use, and absence from work.

methodA cross-sectional study based on an online survey in Norwegian primary care, focusing on infections. Individuals between 25 and 70 years of age, were recruited by general practitioners (GPs) through the Norwegian Primary Care Research Network. The respondents reported different types of infections they had experienced in the last 3 months, and if the infection resulted in a GP visit, use of antibiotics or absence from work. Descriptive analyses were used to estimate proportions and multivariate logistic regressions to assess predictors for absence from work.

resultsIn total, 74.5% of the respondents reported to have experienced an infection during the last 3 months. Respiratory infections were reported by 63.7%, among these cases, 50.9% reported common cold (95% CI 47.6-54.2), 31.5% influenza-like illness (95% CI 28.4-34.5) and 17.9% COVID-19 (95% CI 15.2-20.5). Among those reporting respiratory tract infections, only 18.6% (95% CI 16.4-20.8) visited a GP. Bronchitis/pneumonia most often led to a GP visit (52.8%, 95% CI 36.3-71.0) and antibiotic prescription (25.0%, 95% CI 11.5-40.7). Respiratory tract infections and gastrointestinal infections had the greatest impact on sickness absence from work. Of these, COVID-19 was the strongest predictor for absence from work (OR 9.29, 95% CI 5.8-14.8).

conclusionRespiratory tract infections were the most common type of self-reported infection, and while only one in five visited the GP, the impact on work absence was large. COVID-19 gave the greatest risk of absenteeism.

Indexed as

AbsenteeismAnti-Bacterial AgentsOffice VisitsSick LeaveAdultAgedCommon ColdCOVID-19Cross-Sectional StudiesFemaleHumansIncidenceInfluenza, HumanMaleMiddle AgedNorwayAnti-Bacterial AgentsAntibioticsIncidencePraksisNettPrimary healthcareRespiratory tract infectionsSickness absenteeism

Identifiers

PMID42469705
PMCPMC13660301

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.