Impact of a Work-Focused Intervention on the Productivity and Symptoms of Employees With Depression

Program on Health, Work and Productivity, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
Journal of occupational and environmental medicine / American College of Occupational and Environmental Medicine (Impact Factor: 1.8). 02/2012; 54(2):128-35. DOI: 10.1097/JOM.0b013e31824409d8
Source: PubMed

ABSTRACT To test a new program's effectiveness in reducing depression's work burden.
A brief telephonic program to improve work functioning was tested in an early-stage randomized controlled trial involving 79 Maine State Government employees who were screened in for depression and at-work limitations (treatment group = 59; usual care group = 27). Group differences in baseline to follow-up change scores on the Work Limitations Questionnaire (WLQ), WLQ Absence Module, and Patient Health Questionnaire (PHQ)-9 depression severity scale were tested with analysis of covariance.
Although there were no baseline group differences (P ≥ 0.05), by follow-up, the treatment group had significantly better scores on every outcome and differences in the longitudinal changes were all statistically significant (P = 0.0.27 to 0.0001).
The new program was superior to usual care. The estimated productivity cost savings is $6041.70 per participant annually.

Download full-text


Available from: Debra Lerner, Aug 17, 2015
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: OBJECTIVE: We examined how change in work time control was associated with sleep and health 1 year later. METHODS: Work time control, sleep, fatigue, recovery, and depression were assessed at baseline (T1) and at follow-up (T2) for 2382 daytime workers. The change in work time control from T1 to T2 was classified into four groups: low to low, low to high, high to low, and high to high. RESULTS: A repeated-measures analysis of covariance showed significant decreases in the frequency of insomnia symptoms and depressive symptoms from T1 to T2 for the low to high group, which were similar to the high to high group. Significantly lower fatigue was found for these two groups at T2. CONCLUSION: An increase in work time control, in addition to its stable high level, may produce beneficial effects upon sleep and health.
    Journal of occupational and environmental medicine / American College of Occupational and Environmental Medicine 08/2012; 54(9):1078-85. DOI:10.1097/JOM.0b013e31826230b7 · 1.80 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Purpose: To examine the factorial validity of the Work Limitations Questionnaire (WLQ-25) among workers' compensation claimants with chronic upper-limb disorders. Methods: Attendees of the WSIB Shoulder and Elbow Specialty clinic in Toronto, Ontario, Canada, completed a survey that includes the WLQ-25 [4 subscales: time-management (TM), physical demands (PD), mental-interpersonal (MI), and output demands (OD)]. Confirmatory factor analyses (n = 2262) were conducted to evaluate and compare alternative 4- and 5-factor WLQ-25 structures [MI subscale intact vs. separated into mental demands (MD) and interpersonal demands (IP) subscales]. Model fit indices, saliency of factor loadings, and convergent/divergent validity of latent factors (r = 0.4 - 0.85 expected) were concurrently assessed. Results: The 4-factor WLQ-25 showed acceptable model fit after allowing the residuals of a pair of PD items to correlate (CFI = 0.924, TLI = 0.915, RMSEA = 0.057, SRMR = 0.054); however, significantly lower-than-expected correlations between the PD factor and all other factors (r = -0.11 - -0.03) were also observed. Model fit for the 5-factor WLQ-25 was even more optimal (CFI = 0.934, TLI = 0.925, RMSEA = 0.053, SRMR = 0.051), with MD and IP factors correlating at r = 0.83. Conclusions: Evidence of factorial validity was demonstrated by the WLQ-25; however, users should be attentive of an instrumentation issue that could be directly related to the psychometric performance of its PD subscale.
    Journal of Occupational Rehabilitation 11/2012; DOI:10.1007/s10926-012-9397-6 · 2.80 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Abstract This study aims to examine the effectiveness of a workplace-based intervention program to improve mental health, work ability, and work productivity in privately owned enterprises in China. A prospective cohort intervention study design was employed in which the intervention program was implemented for 30 months (from July 2009 to December 2012). Nine privately owned retail enterprises in China participated in the intervention study. Researchers administered a self-report survey to 2768 employees. The research team measured participants' job stress, resilience, work ability, absenteeism, depression, and work performance. A comprehensive Health Promotion Enterprise Program was implemented that entailed the following components: policies to support a healthy work environment, psychosocial interventions to promote mental health, provision of health services to people with mental illness, and professional skills training to deal with stress and build resilience. Analysis of variance was used to examine preintervention versus postintervention differences in stress, resilience, and work ability. Logistic regression was used to examine absenteeism related to depression. The results suggest that the intervention program was effective at improving participants' ability to work, their sense of control over their jobs, and, in particular, their ability to meet the mental demands of work. The intervention program also reduced participants' job stress levels and reduced the probability of absenteeism related to depression. The intervention programs incorporating both individual-level and organizational-level factors to promote mental health were effective and have implications for both practice and policy regarding enterprises taking more responsibility for the provision of mental health services to their employees. (Population Health Management 2013;16:xxx-xxx).
    Population Health Management 05/2013; DOI:10.1089/pop.2012.0113 · 1.35 Impact Factor
Show more