Evidence map›Paper›PMID 36931778›Full record

ArticleThe lancet. Psychiatry2023

Grading disorder severity and averted burden by access to treatment within the GBD framework: a case study with anxiety disorders.

Damian F Santomauro, Caroline Purcell, Harvey A Whiteford, Alize J Ferrari, Theo Vos

Open access · hybridFull text read
In one paragraph

Article in The lancet. Psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
10.8field-weighted citation impact, top 2% of its field
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

10 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Damian F SantomauroSchool of Public Health, University of Queensland, Herston, Queensland, Australia; Queensland Centre for Mental Health Research, Wacol, Queensland, Australia; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA. Electronic address: d.santomauro@uq.edu.au.
Caroline PurcellInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.
Harvey A WhitefordSchool of Public Health, University of Queensland, Herston, Queensland, Australia; Queensland Centre for Mental Health Research, Wacol, Queensland, Australia; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.
Alize J FerrariSchool of Public Health, University of Queensland, Herston, Queensland, Australia; Queensland Centre for Mental Health Research, Wacol, Queensland, Australia; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.
Theo VosInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Global Burden of Disease Study (GBD) estimates burden by cause with major relevance for resource allocators globally. Non-fatal burden estimates are influenced by disorder severity. However, for many disorders, global severity is sourced from a single high-income country survey. We aimed to estimate severity distributions that vary by Healthcare Access Quality Index (HAQI) using anxiety disorders as a case study and present the usefulness of this method in simulating averted and avoidable burden globally.

methodsIn this case study, we estimated treatment use among respondents with anxiety disorder in the 1997 Australian National Survey of Mental Health and Wellbeing (NSMHWB), the source used to estimate severity of anxiety disorders in GBD. Treatment effects were sourced from the Cochrane Database of Systematic Reviews and pooled via network meta-analysis. Severity distribution was established via a meta-regression of their disability weights, derived from 12-item short form survey scores. We simulated the shift in severity across scenarios without access to treatment and with full access to optimal treatment (cognitive behavioural therapy and antidepressants). We interpolated this shift linearly along the HAQI, extrapolated country-specific severity from HAQI scores, and calculated averted and avoidable burden.

findingsThe database review sourced 56 reviews, of which eight were eligible for inclusion. These eight reviews reported on 156 randomised controlled trials, with 194 treatment effects. Respondents to the 1997 NSMHWB consisted of 5936 women (55·8%) and 4705 (44·2%) men aged 18 years or older (mean age and ethnicity data not available). The survey-weighted treatment effect size was -0·28 (95% uncertainty interval -0·45 to -0·12). The pooled treatment effect for full coverage optimal treatment was -1·07 (-1·47 to -0·64). The sequela-weighted disability weight among people with anxiety disorder in the NSMHWB was 0·141 (0·042 to 0·275). The estimated disability weight was 0·188 (0·070 to 0·341) after removing the benefits of treatment and 0·056 (0·013 to 0·140) after providing all people with anxiety disorder access to optimal treatment. Globally, 12·5% (4·6 to 21·5) of anxiety disorder burden was averted because of available treatment. However, 71·1% (46·2 to 87·6) of global anxiety disorder burden could be averted if all people with anxiety disorders had access to optimal treatment.

interpretationBecause it is based on guidance from a single survey done in one high-income country, the burden of anxiety disorders in low-income and middle-income countries is probably underestimated by GBD. Despite the availability of effective treatments, low use of these treatments means that most burden is still avoidable. Most of the burden could be averted if all people with anxiety disorders had access to optimal treatment, highlighting the importance of public promotion and referral pathways of treatment for anxiety disorders. Location-specific severity distributions in GBD would greatly increase precision in burden estimates and highlight avertable burden to clinicians, public health practitioners, and policy makers.

fundingQueensland Health and Bill & Melinda Gates Foundation.

Indexed as

Global Burden of DiseasePersons with DisabilitiesAustraliaFemaleGlobal HealthHealth Services AccessibilityHumansMaleNetwork Meta-Analysis as TopicSystematic Reviews as Topic

Identifiers

PMID36931778
PMCPMC10017349
OpenAlexW4324319047

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read51
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.