Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 266

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Lost productivity among full‐time workers with mental disorders

Open access
Lim, Debbie, Sanderson, Kristy, Andrews, Gavin·2000·The Journal of Mental Health Policy and Economics

Abstract

Background: Few studies have systematically compared the relationship between lost work productivity (work impairment) and mental disorders using population surveys. Aims: (1) To identify the importance of individual mental disorders and disorder co‐occurrences (comorbidity) as predictors of two measures of work impairment over the past month—work loss (number of days unable to perform usual activities) and work cutback (number of days where usual activities were restricted); (2) to examine whether different types of disorder have a greater impact on work impairment in some occupations than others; (3) to determine whether work impairment in those with a disorder is related to treatment seeking. Method: Data were based on full‐time workers identified by the Australian National Survey of Mental Health and Well‐Being, a household survey of mental disorders modeled on the US National Comorbidity Survey. Diagnoses were of one‐month DSM‐IV affective, anxiety and substance‐related disorders. Screening instruments generated likely cases of ICD‐10 personality disorders. The association of disorder types and their co‐occurrences with work impairment was examined using multivariate linear regression. Odds ratios determined the significance of mental disorder prevalence across occupations, and planned contrasts were used to test for differences in work impairment across occupations within disorder types. The relationship between work impairment and treatment seeking was determined for each broad diagnostic group with t‐tests. Results: Depression, generalized anxiety disorder and personality disorders were predictive of work impairment after controlling for impairment due to physical disorders. Among pure and comorbid disorders, affective and comorbid anxiety–affective disorders respectively were associated with the greatest amount of work impairment. For all disorders, stronger associations were obtained for work cutback than for work loss. No relationship was found between type of occupation and the impact of different types of disorder on work impairment. Only 15% of people with any mental disorder had sought help in the past month. For any mental disorder, significantly greater work loss and work cutback was associated with treatment seeking, but comparisons within specific disorder types were not significant. Discussion: A substantial amount of lost productivity due to mental disorders comes from within the full‐time working population. The greater impact of mental disorders on work cutback compared to work loss suggests that work cutback provides a more sensitive measure of work impairment in those with mental disorders. Work impairment was based on self‐report only. While there is evidence for the reliability of self‐assessed work loss days, no reliability or validity studies have been conducted for work cutback days. The low rates of treatment seeking are a major health issue for the workforce, particularly for affective and anxiety disorders, which are important predictors of lost productivity. Implications for health policies and further research: Future research should investigate the validity of work cutback, given its importance as a measure of lost productivity in people with mental disorders. Employers need to be aware of the extent to which mental disorders affect their employees so that effective work place interventions can take place. Treatment should be targeted at people with affective and anxiety disorders, particularly where they co‐occur. © 2000 John Wiley & Sons, Ltd.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/mhp.93

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Research works printed but not linked: 22

  1. 10.1176/ps.50.9.1209 · DOI
  2. 10.2105/AJPH.84.8.1304 · DOI
  3. 10.1017/S0033291797004807 · DOI · Paper page
  4. 10.1016/S0277-9536(99)00431-1 · DOI · Paper page
  5. 10.1001/jama.1990.03450190056028 · DOI · Paper page
  6. 10.1007/s001270050010 · DOI
  7. 10.1002/(SICI)1099-176X(199812)1:4<161::AID-MHP21>3.0.CO;2-I · DOI
  8. Greenberg P, 1993, The economic burden of depression in 1990, J Clin Psychiatry, 54, 405
  9. Nathan PE, 1998, A Guide to Treatments That Work
  10. Andrews G, 1998, Psychometric properties of the CIDI, 33, 80
  11. 10.1017/CBO9780511663215 · DOI · Paper page
  12. Australian Bureau of Statistics, 1986, Australian Standard Classification of Occupations (ASCO)—Statistical Classification, 1st edn
  13. 10.1192/bjp.172.3.250 · DOI
  14. 10.1017/CBO9780511543562.032 · DOI
  15. 10.1097/00005650-199404000-00008 · DOI
  16. 10.1097/00043764-199911000-00005 · DOI
  17. 10.1097/00043764-199910000-00007 · DOI · Paper page
  18. 10.2190/LKDE-1E0K-TANM-HQUY · DOI
  19. 10.2190/JH4X-7H0C-K35R-PAHK · DOI
  20. 10.1136/jech.47.1.14 · DOI
  21. 10.1377/hlthaff.18.5.163 · DOI · Paper page
  22. Australian Bureau of Statistics, 2000, Average Weekly Earnings, States and Australia

Cited by

Metadata

Authors
Lim, D., Sanderson, K., & Andrews, G.
Venue
The Journal of Mental Health Policy and Economics
Publisher
Wiley
Published
2000-09
Volume
3
Issue
3
Pages
139-146
ISSN
  • 1091-4358 (ISSN-L)
  • 1099-176X
OpenAlex
W2008341581
Cited by
266
References
2
FWCI
5.51
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.