Evidence map›Paper›PMID 25887477›Full record

ArticleBMC public health2015

Sick-listing adherence: a register study of 1.4 million episodes of sickness benefit 2010-2013 in Sweden.

Ola Leijon, Malin Josephson, Niklas Österlund

Abstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

3 authors.

Ola LeijonSwedish Social Insurance Inspectorate, Box 202, SE-101 24, Stockholm, Sweden. ola.leijon@inspsf.se.
Malin JosephsonSwedish Social Insurance Inspectorate, Box 202, SE-101 24, Stockholm, Sweden. malin.josephson@inspsf.se.
Niklas ÖsterlundSwedish Social Insurance Inspectorate, Box 202, SE-101 24, Stockholm, Sweden. niklas.osterlund@inspsf.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis register study aims to increase the knowledge on how common it is that sickness benefit recipients are sick-listed for as long as their physician prescribes in their medical sickness certificate, i.e. sick-listing adherence, or wholly/partly bring return-to-work (RTW) forward, i.e. early RTW.

methodsThe unit for analysis was an episode of 100% sickness benefit, commenced between 1 January 2010 and 31 December 2013. Completed episodes of sickness benefit and full or partial early RTW was analysed by comparing the prescribed length of sick leave in medical sickness certificates and benefit days disbursed by the sickness insurance system. Probability for a full and partial early RTW was estimated with hazard ratio (HR) using the Cox proportional hazard model.

resultsIn total, about 1.4 million episodes of sickness benefit (60% women) were included in the study. The overall sick-listing adherence was 84% for women and 82% for men during the first year of sick leave. Adherence varied between 82 and 87% among women and between 79 and 86% among men with regard to ICD-10 diagnosis chapter. The probability of an early RTW varied between diagnosis chapters, where mental disorders was associated with a lower probability of a full early RTW among women and men (HR 0.52 and HR 0.47) as well as a partial early RTW (HR 0.51 and HR 0.46). Younger age (16-29 years), high educational level and high income was associated with a higher probability of an early RTW, while older age (≥ 50 years), not native-born, low educational level, unemployment and parental leave were associated with a lower probability.

conclusionThe study demonstrates that sick-listing adherence is relatively high. Probability of an early RTW differs with regard to diagnosis chapter, demographic, socioeconomic and labour market characteristics of the sickness benefit recipients. Interventions intended to improve the sick-listing process, and to affect the length and degree of sick leave in certain target groups, should include measures targeted at physicians' sick-listing practices. Policies and economic incentives aimed at promoting RTW need to focus on individuals' residual capacity for work.

Indexed as

AdolescentAdultAge FactorsFemaleHumansMaleMental DisordersMiddle AgedProportional Hazards ModelsReturn to WorkSex FactorsSick LeaveSocioeconomic FactorsSwedenTime FactorsYoung Adult

Identifiers

PMID25887477
PMCPMC4399111

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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.