Evidence map›Paper›PMID 41071372›Full record

ArticleJournal of public health (Oxford, England)2026

Workplace productivity losses due to multimorbidity: findings from an Australian longitudinal population survey, 2009-21.

Mohammad Afshar Ali, Syed Afroz Keramat, Christine Y Lu

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 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

3 authors.

Mohammad Afshar AliSydney Pharmacy School, The University of Sydney, Level 13, Kolling Building, Royal North Shore Hospital, St Leonards, NSW 2065, Australia.ORCID 0000-0002-0831-9046
Syed Afroz KeramatCentre for Health Services Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Level 5, UQ Health Sciences Building, Fig Tree Lane, Herston, QLD 4006, Australia.ORCID 0000-0001-8747-9891
Christine Y LuSydney Pharmacy School, The University of Sydney, Level 13, Kolling Building, Royal North Shore Hospital, St Leonards, NSW 2065, Australia.ORCID 0000-0002-7550-6837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile productivity loss has been studied in various populations, the impact of multimorbidity on workplace productivity at a population level remains understudied. This study estimates the productivity losses attributable to multimorbidity.

methodUsing data from four waves of the Household, Income and Labour Dynamics in Australia (HILDA) survey, we investigated the relationship between multimorbidity and productivity loss. Negative binomial and logistic regression models were employed to analyze absenteeism, presenteeism, and working hour tension as measures of productivity loss.

resultsWe found a significant association between multimorbidity and increased absenteeism, presenteeism and working hour tension. After controlling for socio-economic, demographic, health, and workplace-related factors, individuals with multimorbidity had a 1.07-fold higher rate of absenteeism (incidence rate ratios: 1.07; 95% CI: 1.02-1.13) compared to those without serious illness. Their odds of experiencing presenteeism were three times higher, and the incidence of working hour tension was 32% higher. On average, the annual cost of absenteeism was AU$265.20 higher for individuals with multimorbidity than for those without serious illness.

conclusionOur results underscore the need for evidence-based workplace policies to support the productivity and well-being of employees living with multimorbidity.

Indexed as

AbsenteeismEfficiencyMultimorbidityPresenteeismWorkplaceAdolescentAdultAgedAustraliaFemaleHumansLongitudinal StudiesMaleMiddle AgedYoung Adulthealth servicesmorbidity and mortalitypublic health

Identifiers

PMID41071372
PMCPMC13017662

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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.