Physician diagnosed mental ill-health in male and female workers

Investigation of time-dependent risk of mental disorders after infertility diagnosis, through survival analysis and data mining: a nationwide cohort study

OBJECTIVES

Infertile patients are vulnerable to mental disorders. However, a time-dependent model predicting the onset of mental disorders specific to infertile patients is lacking. This study examined the risk factors for the development of mental disorders in infertile patients and measured the duration until the occurrence of mental disorders after a diagnosis of infertility.

METHODS

A total of 13,317 infertile patients in the 2002-2013 Taiwan National Health Insurance Research Database were observed. The 11 independent variables included in the hypothesised model, together with the dates of infertility and mental disorder diagnoses, were analysed using Cox proportional hazards. Data-mining methods using C5.0 and Apriori supplemented the statistical analyses.

RESULTS

The total prevalence rate of mental disorders among infertile patients in Taiwan was 12.41%, including anxiety (4.66%), depression (1.81%) and other mental disorders (5.94%). The average time interval for onset of mental illness identified using survival analysis was 1.67 years. Income, occupation, treatment method, co-morbidity, region and hospital level and ownership were significant predictors of development of mental illness (all p < .05).

CONCLUSIONS

The four categories of factors associated with time-dependent onset were demographics, health, health care provider and geographical characteristics. Certain patient characteristics may predict a higher likelihood of onset of a specific mental disorder. Clinical practitioners may use the findings to identify high-risk patients and make timely health interventions.

Trends in sickness certification of injured workers by general practitioners in Victoria, Australia

BACKGROUND

General practitioners (GPs) play a critical role in facilitating injured workers return to work via their ability to certify capacity to return to employment. However, little is known about the sickness certification patterns of GPs in the context of workers' compensation claims.

AIM

To determine if GPs' sickness certification behaviour has changed between 2003 and 2010 in Victoria, Australia.

METHOD

Retrospective population-based cohort study of all injured workers with an accepted compensation claim. Sickness certification rates per 1,000 working population per annum were calculated. General regression models adjusted for workers' age and annual claim number were fitted to summarize changes in count and duration (expressed as incidence rate ratios or IRRs) of unfit for work (UFW) versus alternate duties (ALT) certificates within six categories of work-related injury and disease.

RESULTS

92,134 UFW and 28,293 ALT certificates were identified. A significant decrease in the unadjusted annual certification rates per 1,000 working population was observed. However, after adjusting for the annual number of claims and age, the IRRs of certificates increased over time. The rate of injuries and IRRs of certificates varied across affliction categories, IRRs being higher in mental health conditions in women than in men (IRR: 0.40, 95 % CI 0.38-0.41 vs. IRR: 0.17, 95 % CI 0.16-0.18). The duration of certificates remained stable, with the ALT being longer than UFW certificates in all claimants.

CONCLUSION

Our findings indicate that GPs in Victoria issue an increasing number of UFW sickness certificates each year. Further research is required to investigate the reasons for such practises.