Evidence map›Paper›PMID 37501582›Full record

ArticleScandinavian journal of public health2024

Production losses from morbidity and mortality by disease, age and sex in Norway.

Jonas Minet Kinge, Astrid de Linde, Joseph L Dieleman, Stein Emil Vollset, Ann Kristin Knudsen, Eline Aas

Abstract read
In one paragraph

Article in Scandinavian journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
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.

Jonas Minet KingeDepartment of Health Management and Health Economics, University of Oslo, Norway.ORCID 0000-0002-2789-6113
Astrid de LindeDepartment of Health Management and Health Economics, University of Oslo, Norway.
Joseph L DielemanInstitute for Health Metrics and Evaluation, USA.
Stein Emil VollsetInstitute for Health Metrics and Evaluation, USA.
Ann Kristin KnudsenCentre for Disease Burden, Norwegian Institute of Public Health, Norway.
Eline AasDepartment of Health Management and Health Economics, University of Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe inclusion of production losses in health care priority setting is extensively debated. However, few studies allow for a comparison of these losses across relevant clinical and demographic categories. Our objective was to provide comprehensive estimates of Norwegian production losses from morbidity and mortality by age, sex and disease category.

methodsNational registries, tax records, labour force surveys, household and population statistics and data from the Global Burden of Disease were combined to estimate production losses for 12 disease categories, 38 age and sex groups and four causes of production loss. The production losses were estimated via lost wages in accordance with a human capital approach for 2019.

resultsThe main causes of production losses in 2019 were mental and substance use disorders, totalling NOK121.6bn (32.7% of total production losses). This was followed by musculoskeletal disorders, neurological disorders, injuries, and neoplasms, which accounted for 25.2%, 7.4%, 7.4% and 6.5% of total production losses, respectively. Production losses due to sick leave, disability insurance and work assessment allowance were higher for females than for males, whereas production losses due to premature mortality were higher for males. The latter was related to neoplasms, cardiovascular disease and injuries. Across age categories, non-fatal conditions with a high prevalence among working populations caused the largest production losses.

conclusions

Indexed as

MortalityAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCost of IllnessFemaleHumansInfantInfant, NewbornMaleMiddle AgedMorbidityNorwaycost of illnessdisease burdenNorwayProduction loss

Identifiers

PMID37501582
PMCPMC11308283

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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.