Evidence map›Paper›PMID 38610021›Full record

ArticleBMC health services research2024

Temporal and geographical variations in diagnostic imaging in Norway.

Bjørn Morten Hofmann, Ingrid Øfsti Brandsaeter, Eivind Richter Andersen, Jan Porthun, Elin Kjelle

Abstract read
In one paragraph

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Bjørn Morten HofmannDepartment of Health Sciences Gjøvik, Norwegian University of Science and Technology (NTNU), NTNU Gjøvik, PO Box 191, 2802, Gjøvik, Norway. bjoern.hofmann@ntnu.no.
Ingrid Øfsti BrandsaeterDepartment of Health Sciences Gjøvik, Norwegian University of Science and Technology (NTNU), NTNU Gjøvik, PO Box 191, 2802, Gjøvik, Norway.
Eivind Richter AndersenDepartment of Health Sciences Gjøvik, Norwegian University of Science and Technology (NTNU), NTNU Gjøvik, PO Box 191, 2802, Gjøvik, Norway.
Jan PorthunDepartment of Health Sciences Gjøvik, Norwegian University of Science and Technology (NTNU), NTNU Gjøvik, PO Box 191, 2802, Gjøvik, Norway.
Elin KjelleDepartment of Health Sciences Gjøvik, Norwegian University of Science and Technology (NTNU), NTNU Gjøvik, PO Box 191, 2802, Gjøvik, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnwarranted temporal and geographical variations are acknowledged as a profound problem for equal access and justice in the provision of health services. Even more, they challenge the quality, safety, and efficiency of such services. This is highly relevant for imaging services.

objectiveTo analyse the temporal and geographical variation in the number of diagnostic images in Norway from 2013 to 2021.

methodsData on outpatient imaging provided by the Norwegian Health Economics Administration (HELFO) and inpatient data afforded by fourteen hospital trusts and hospitals in Norway. Data include the total number of imaging examinations according to the Norwegian Classification of Radiological Procedures (NCRP). Analyses were performed with descriptive statistics.

resultsMore than 37 million examinations were performed in Norway during 2013-2021 giving an average of 4.2 million examinations per year. In 2021 there was performed and average of 0.8 examinations per person and 2.2 examinations per person for the age group > 80. There was a 9% increase in the total number of examinations from 2013 to 2015 and a small and stable decrease of 0.5% per year from 2015 to 2021 (with the exception of 2020 due to the pandemic). On average 71% of all examinations were outpatient examinations and 32% were conducted at private imaging centres. There were substantial variations between the health regions, with Region South-East having 53.1% more examinations per inhabitant than Region West. The geographical variation was even more outspoken when comparing catchment areas, where Oslo University Hospital Trust had twice as many examinations per inhabitant than Finnmark Hospital Trust.

conclusionAs the population in Norway is homogeneous it is difficult to attribute the variations to socio-economic or demographic factors. Unwarranted and supply-sensitive variations are challenging for healthcare systems where equal access and justice traditionally are core values.

Indexed as

Economics, MedicalCatchment Area, HealthGeographyHospitals, UniversityHumansNorwayCTEfficiencyImagingMRIQualityRadiographSafetyUltrasoundVariation

Identifiers

PMID38610021
PMCPMC11015609

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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.