Evidence map›Paper›PMID 37277874›Full record

ArticleBMC medicine2023

Disease-specific health spending by age, sex, and type of care in Norway: a national health registry study.

Jonas Minet Kinge, Joseph L Dieleman, Øystein Karlstad, Ann Kristin Knudsen, Søren Toksvig Klitkou, Simon I Hay, Theo Vos, Christopher J L Murray, Stein Emil Vollset

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
27.5field-weighted citation impact, top 1% of its field
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

34 citing papers in PubMed, 63 citations in OpenAlex.

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  3. Burden and care time for dementia caregivers in the LIVE@Home.Path trial.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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  12. Can pain self-efficacy mediate the influence of pain intensity on outcomes for patients with musculoskeletal pain? A prospective mediation analysis with 12 months follow-up.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Jonas Minet KingeNorwegian Institute of Public Health, Postboks 222-Skøyen, 0213, Oslo, Norway. Jonas.minet.kinge@fhi.no.ORCID http://orcid.org/0000-0002-2789-6113
Joseph L DielemanInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Øystein KarlstadNorwegian Institute of Public Health, Postboks 222-Skøyen, 0213, Oslo, Norway.
Ann Kristin KnudsenNorwegian Institute of Public Health, Postboks 222-Skøyen, 0213, Oslo, Norway.
Søren Toksvig KlitkouMSD Norway, Oslo, Norway.
Simon I HayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Theo VosInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Christopher J L MurrayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Stein Emil VollsetInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
University of Washington · USNorwegian Institute of Public Health · NOMSD (Norway) · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNorway is a high-income nation with universal tax-financed health care and among the highest per person health spending in the world. This study estimates Norwegian health expenditures by health condition, age, and sex, and compares it with disability-adjusted life-years (DALYs).

methodsGovernment budgets, reimbursement databases, patient registries, and prescription databases were combined to estimate spending for 144 health conditions, 38 age and sex groups, and eight types of care (GPs; physiotherapists & chiropractors; specialized outpatient; day patient; inpatient; prescription drugs; home-based care; and nursing homes) totaling 174,157,766 encounters. Diagnoses were in accordance with the Global Burden of Disease study (GBD). The spending estimates were adjusted, by redistributing excess spending associated with each comorbidity. Disease-specific DALYs were gathered from GBD 2019.

resultsThe top five aggregate causes of Norwegian health spending in 2019 were mental and substance use disorders (20.7%), neurological disorders (15.4%), cardiovascular diseases (10.1%), diabetes, kidney, and urinary diseases (9.0%), and neoplasms (7.2%). Spending increased sharply with age. Among 144 health conditions, dementias had the highest health spending, with 10.2% of total spending, and 78% of this spending was incurred at nursing homes. The second largest was falls estimated at 4.6% of total spending. Spending in those aged 15-49 was dominated by mental and substance use disorders, with 46.0% of total spending. Accounting for longevity, spending per female was greater than spending per male, particularly for musculoskeletal disorders, dementias, and falls. Spending correlated well with DALYs (Correlation r = 0.77, 95% CI 0.67-0.87), and the correlation of spending with non-fatal disease burden (r = 0.83, 0.76-0.90) was more pronounced than with mortality (r = 0.58, 0.43-0.72).

conclusionsHealth spending was high for long-term disabilities in older age groups. Research and development into more effective interventions for the disabling high-cost diseases is urgently needed.

Indexed as

DementiaPersons with DisabilitiesSubstance-Related DisordersAgedFemaleGlobal HealthHumansMaleQuality-Adjusted Life YearsRegistriesBurden of diseaseCost of illnessDisability-adjusted life years (DALYs)Disease expendituresNorway

Identifiers

PMID37277874
PMCPMC10243068
OpenAlexW4379466978

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.