Evidence map›Paper›PMID 40844779›Full record

ArticleJAMA network open2025

Productivity Losses Due to Long-Term Back Problems in Working-Age Australians.

Sean I Docking, Ilana N Ackerman, Rachelle Buchbinder, Ella Zomer, Danny Liew, Zanfina Ademi

Abstract read
In one paragraph

Article in JAMA network open, 2025. 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. Review
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.

Sean I DockingMusculoskeletal Health Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Ilana N AckermanMusculoskeletal Health Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Rachelle BuchbinderMusculoskeletal Health Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Ella ZomerHealth Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Danny LiewFaculty of Health, Medicine and Behavioural Sciences, University of Queensland, Brisbane, Australia.
Zanfina AdemiHealth Economics and Policy Evaluation Research Group, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Long-term back problems impact an individual's ability to participate in the workforce productively, potentially resulting in financial stress and furthering inequities. Estimates of future productivity losses could inform advocacy and policy making. Objective: To estimate the productivity losses of long-term back problems in working-age Australians (aged 15-64 years) over the next 10 years (2024-2033). Design, Setting, and Participants: This modeling study used a dynamic population-level model to simulate the population of working Australians with long-term back problems. Age- and sex-specific prevalence and workforce participation data were obtained from the 2022 National Health Survey. Excess all-cause mortality, absenteeism, and presenteeism data due to long-term back problems were derived from published sources. Main Outcomes and Measures: Primary outcomes were years of life lost, full-time equivalent workers lost, and productivity losses due to long-term back problems. Productivity losses were estimated as productivity-adjusted life-years and associated costs to Australia's gross domestic product (GDP). Results: In 2024, 2 950 538 Australians had long-term back problems, which was projected to increase to 3 258 612 million by 2033. Long-term back problems resulted in an estimated loss of 3 394 255 productivity-adjusted life-years over the 10-year period, equating to a loss of more than 638 billion Australian dollars in Australia's GDP. Reducing the relative prevalence and incidence of long-term back problems by 10% was estimated to result in a gain of 41.4 billion Australian dollars in GDP over the 10-year period. Conclusions and Relevance: In this modeling study estimating future productivity losses from long-term back problems, substantial economic gains could be achieved from reducing the prevalence and impact of the condition. This model highlights the need to assess the effectiveness of interventions on work-related outcomes.

Indexed as

Back PainEfficiencyAbsenteeismAdolescentAdultAustralasian PeopleAustraliaCost of IllnessFemaleHumansMaleMiddle AgedPresenteeismPrevalenceYoung Adult

Identifiers

PMID40844779
PMCPMC12374218

What OpenQuestion holds

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LicenceCC BY
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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.