Evidence map›Paper›PMID 41645145›Full record

ArticleBMC public health2026

Sickness absence in the working age population: a retrospective cohort study using primary care health record data.

Naijie Guan, James Rockey, Tom Marshall, Eleanor Hathaway, Tracy Roberts, Francesca Crowe, Louise J Jackson, Shamil Haroon

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Naijie GuanDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK. n.guan@bham.ac.uk.
James RockeyDepartment of Economics, University of Birmingham, Birmingham, UK.
Tom MarshallDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Eleanor HathawayDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Tracy RobertsDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Francesca CroweDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Louise J Jackson *Department of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Shamil Haroon *Department of Applied Health Sciences, University of Birmingham, Birmingham, UK.

Funding

University of Birmingham's QR Funding Policy Support Fund: PSF-9
6 · The paper itself

Abstract

backgroundEconomic inactivity rate in the UK reached 22.2% in 2024, driven largely by increased long-term sickness, and exceeds those reported in comparable high-income countries. Sickness absence remains a major challenge, imposing substantial costs on individuals and society. This study aimed to assess sickness absence rates and associated economic output losses in primary care for working-age adults in England.

methodsThis was a population-based retrospective cohort study using primary care data from the Clinical Practice Research Datalink (CPRD) Aurum database. 10 million adults aged 18–65 years was followed from January 2017 to December 2019 (pre-COVID-19 pandemic period) and March 2022 to February 2023 (late pandemic period). Sickness absence was measured using fit notes (“statements of fitness for work”) issued in primary care. We quantified annual fit note rates, identified underlying medical causes, explored associations between fit note provision, patient’s sociodemographic and health-related factors using random-effect negative binomial regression models, and estimated economic losses due to sickness absence.

resultsAge-standardised fit note rates were 23.5 per 100 person-years pre-pandemic and 24.0 per 100 person-years in the late pandemic period. Fit notes were issued more frequently among females, older individuals, black ethnic groups, lower-income groups, those with obesity, smokers, and those with higher levels of comorbidity. Depression and anxiety were the leading medical diagnoses associated with fit note provision. The estimated total annual cost of sickness absence in England was around £13.3 billion (95% CI £13.3 to £13.4 bn) in the pre-pandemic period, and £15.9 bn (95% CI £15.8 to £15.9 bn) in the late pandemic period.

conclusionsFit note provision in primary care and associated costs rose substantially from the pre-pandemic to the late pandemic period. This was primarily associated with poor mental health and varied among different population groups. Towards the end of the pandemic, this represented approximately £16 billion in annual economic losses in England. This underscores the need for targeted policy interventions and further research to mitigate the health and financial burden of sickness absence, particularly for people with poor mental health.

Indexed as

COVID-19Primary Health CareSick LeaveAdolescentAdultAgedEnglandFemaleHumansMaleMiddle AgedRetrospective StudiesYoung Adult

Identifiers

PMID41645145
PMCPMC12973743

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.