Evidence map›Paper›PMID 39029487›Full record

ArticleThe Lancet. Rheumatology2024

Assessing the impact of health-care access on the severity of low back pain by country: a case study within the GBD framework.

YiFan Wu, Sarah Wulf Hanson, Garland Culbreth, Caroline Purcell, Peter Brooks, Jacek Kopec, Lyn March, Anthony D Woolf, Maja Pasovic, Erin Hamilton and 2 more

Abstract read
In one paragraph

Article in The Lancet. Rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

YiFan WuInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Department of Biomedical and Health Informatics, University of Washington, Seattle, WA, USA.
Sarah Wulf HansonInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Garland CulbrethInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Caroline PurcellInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Peter BrooksCentre for Health Policy, School of Population and Global Health, University of Melbourne, VIC, Australia; College of Health and Medicine, University of Tasmania, Hobart, TAS Australia.
Jacek KopecSchool of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
Lyn MarchRheumatology and Musculosketal Epidemiology Medicine, Northern Clinical School, Sydney, NSW, Australia.
Anthony D WoolfRoyal Cornwall Hospitals Trust, Truro, UK.
Maja PasovicInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Erin HamiltonInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Damian SantomauroInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Queensland Centre for Mental Health Research, Wacol, QLD, Australia; School of Public Health, University of Queensland, Herston, QLD, Australia.
Theo VosInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA. Electronic address: tvos@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) is key for policy making. Low back pain is the leading cause of disability in terms of years lived with disability (YLDs). Due to sparse data, a current limitation of GDB is that a uniform severity distribution is presumed based on 12-Item Short Form Health Survey scores derived from US Medical Expenditure Panel Surveys (MEPS). We present a novel approach to estimate the effect of exposure to health interventions on the severity of low back pain by country and over time.

methodsWe extracted treatment effects for ten low back pain interventions from the Cochrane Database, combining these with coverage data from the MEPS to estimate the hypothetical severity in the absence of treatment in the USA. Severity across countries was then graded using the Health Access and Quality Index, allowing estimates of averted and avoidable burden under various treatment scenarios.

findingsWe included 210 trials from 36 Cochrane systematic reviews in the network analysis. The pooled effect sizes (measured as a standardised mean difference) for the most effective intervention classes were -0·460 (95% uncertainty interval -0·606 to -0·309) for a combination of psychological and physical interventions and -0·366 (-0·525 to -0·207) for surgery. Globally, access to treatment averted an estimated 17·6% (14·8 to 23·8) of the low back pain burden in 2020. If all countries had provided access to treatment at a level estimated for Iceland with the highest Health Access and Quality Index score, an extra 9·1% (6·4 to 11·2) of the burden of low back pain could be avoided. Even with full coverage of optimal treatment, a large proportion (65·9% [56·9 to 70·4]) of the low back pain burden is unavoidable.

interpretationThis methodology fills an important shortcoming in the GBD by accounting for low back pain severity variations over time and between countries. Assumptions of unequal treatment access increased YLD estimates in resource-poor settings, with a modest decrease in countries with higher Health Access and Quality Index scores. Nonetheless, the large proportion of unavoidable burden indicates poor intervention efficacy. This method, applicable to other GBD conditions, provides policy makers with insights into health gains from improved treatment and underscores the importance of investing in research for new interventions.

fundingBill and Melinda Gates Foundation and Queensland Health.

Indexed as

Global Burden of DiseaseHealth Services AccessibilityLow Back PainSeverity of Illness IndexHumans

Identifiers

PMID39029487
PMCPMC11333387

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LicenceCC BY
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Registered trials

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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.