Evidence map›Paper›PMID 36460982›Full record

ArticleBMC public health2022

Sociodemographic and morbidity characteristics of people on long-term sick leave.

Corina Oancea, Rodica Simona Capraru, Ana Maria Alexandra Stanescu, Despina Mihaela Gherman

Abstract read
In one paragraph

Article in BMC public health, 2022. 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

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

4 citing papers in PubMed.

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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

4 authors.

Corina OanceaUniversity of Medicine and Pharmacy "Carol Davila", Bucharest, Romania. corina.oancea@umfcd.ro.
Rodica Simona CapraruThe National Institute for Medical Assessment and Work Capacity Rehabilitation, Bucharest, Romania.
Ana Maria Alexandra StanescuUniversity of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.
Despina Mihaela GhermanUniversity of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCertifying long-term sick leave and coordinating complex rehabilitation programs are essential activities of social insurance doctors. These doctors have a role in preventing the decreased work capacity of employees that may lead to leaving the labour market and the transition of these employees to other social insurance benefits, such as a work disability pension.

objectivesAnalysis of long-term sick leaves (over 183 days) to identify risk factors and population groups with low potential for work capacity rehabilitation.

methodWe conducted a cross-sectional study between September 2019 and September 2020. The information was collected from the National Institute of Medical Assessment and Work Capacity Rehabilitation Bucharest registers and the EXPMED application. The data were statistically analysed using PSPP software.

resultsThe highest rehabilitation percentage was achieved in cases of traumatic injuries (73.17%), followed by musculoskeletal diseases (70.06%). We noticed lower recovery in cases of nervous system diseases (50.56%) and cardiovascular diseases (44.23%). In the group that summed up the other pathologies, the recovery percentage was 58.37%. People who regained their work capacity were significantly younger (mean age 47.87 y ± 8.93) than those who turned to other forms of social benefits, such as a disability pension or an old-age pension (mean age 53.16 y ± 8.43).

conclusionMost of the subjects (72%) regained their work capacity and did not need a disability pension. We identified the sociodemographic and morbidity characteristics of people on long-term sick leave along with target groups requiring intensive intervention measures.

Indexed as

PensionsSick LeaveCross-Sectional StudiesHumansMiddle AgedMorbiditySocial SecurityLong-term careMorbidityRisk factorsSick leaveSociodemographic factors

Identifiers

PMID36460982
PMCPMC9719200

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