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      Interventions to improve return to work in depressed people

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          Abstract

          Work disability such as sickness absence is common in people with depression. To evaluate the effectiveness of interventions aimed at reducing work disability in employees with depressive disorders. We searched CENTRAL (The Cochrane Library), MEDLINE, EMBASE, CINAHL, and PsycINFO until January 2014. We included randomised controlled trials (RCTs) and cluster RCTs of work-directed and clinical interventions for depressed people that included sickness absence as an outcome. Two authors independently extracted the data and assessed trial quality. We used standardised mean differences (SMDs) with 95% confidence intervals (CIs) to pool study results in the studies we judged to be sufficiently similar. We used GRADE to rate the quality of the evidence. We included 23 studies with 26 study arms, involving 5996 participants with either a major depressive disorder or a high level of depressive symptoms. We judged 14 studies to have a high risk of bias and nine to have a low risk of bias. Work-directed interventions We identified five work-directed interventions. There was moderate quality evidence that a work-directed intervention added to a clinical intervention reduced sickness absence (SMD -0.40; 95% CI -0.66 to -0.14; 3 studies) compared to a clinical intervention alone.There was moderate quality evidence based on a single study that enhancing the clinical care in addition to regular work-directed care was not more effective than work-directed care alone (SMD -0.14; 95% CI -0.49 to 0.21).There was very low quality evidence based on one study that regular care by occupational physicians that was enhanced with an exposure-based return to work program did not reduce sickness absence compared to regular care by occupational physicians (non-significant finding: SMD 0.45; 95% CI -0.00 to 0.91). Clinical interventions, antidepressant medication Three studies compared the effectiveness of selective serotonin reuptake inhibitor (SSRI) to selective norepinephrine reuptake inhibitor (SNRI) medication on reducing sickness absence and yielded highly inconsistent results. Clinical interventions, psychological We found moderate quality evidence based on three studies that telephone or online cognitive behavioural therapy was more effective in reducing sick leave than usual primary or occupational care (SMD -0.23; 95% CI -0.45 to -0.01). Clinical interventions, psychological combined with antidepressant medication We found low quality evidence based on two studies that enhanced primary care did not substantially decrease sickness absence in the medium term (4 to 12 months) (SMD -0.02; 95% CI -0.15 to 0.12). A third study found no substantial effect on sickness absence in favour of this intervention in the long term (24 months).We found high quality evidence, based on one study, that a structured telephone outreach and care management program was more effective in reducing sickness absence than usual care (SMD - 0.21; 95% CI -0.37 to -0.05). Clinical interventions, exercise We found low quality evidence based on one study that supervised strength exercise reduced sickness absence compared to relaxation (SMD -1.11; 95% CI -1.68 to -0.54). We found moderate quality evidence based on two studies that aerobic exercise was no more effective in reducing sickness absence than relaxation or stretching (SMD -0.06; 95% CI -0.36 to 0.24). We found moderate quality evidence that adding a work-directed intervention to a clinical intervention reduced the number of days on sick leave compared to a clinical intervention alone. We also found moderate quality evidence that enhancing primary or occupational care with cognitive behavioural therapy reduced sick leave compared to the usual care. A structured telephone outreach and care management program that included medication reduced sickness absence compared to usual care. However, enhancing primary care with a quality improvement program did not have a considerable effect on sickness absence. There was no evidence of a difference in effect on sickness absence of one antidepressant medication compared to another. More studies are needed on work-directed interventions. Clinical intervention studies should also include work outcomes to increase our knowledge on reducing sickness absence in depressed workers.

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          Most cited references116

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          Diagnostic and Statistical Manual of Mental Disorders

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            A new depression scale designed to be sensitive to change

            The construction of a depression rating scale designed to be particularly sensitive to treatment effects is described. Ratings of 54 English and 52 Swedish patients on a 65 item comprehensive psychopathology scale were used to identify the 17 most commonly occurring symptoms in primary depressive illness in the combined sample. Ratings on these 17 items for 64 patients participating in studies of four different antidepressant drugs were used to create a depression scale consisting of the 10 items which showed the largest changes with treatment and the highest correlation to overall change. The inner-rater reliability of the new depression scale was high. Scores on the scale correlated significantly with scores on a standard rating scale for depression, the Hamilton Rating Scale (HRS), indicating its validity as a general severity estimate. Its capacity to differentiate between responders and non-responders to antidepressant treatment was better than the HRS, indicating greater sensitivity to change. The practical and ethical implications in terms of smaller sample sizes in clinical trials are discussed.
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              Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

              Measuring disease and injury burden in populations requires a composite metric that captures both premature mortality and the prevalence and severity of ill-health. The 1990 Global Burden of Disease study proposed disability-adjusted life years (DALYs) to measure disease burden. No comprehensive update of disease burden worldwide incorporating a systematic reassessment of disease and injury-specific epidemiology has been done since the 1990 study. We aimed to calculate disease burden worldwide and for 21 regions for 1990, 2005, and 2010 with methods to enable meaningful comparisons over time. We calculated DALYs as the sum of years of life lost (YLLs) and years lived with disability (YLDs). DALYs were calculated for 291 causes, 20 age groups, both sexes, and for 187 countries, and aggregated to regional and global estimates of disease burden for three points in time with strictly comparable definitions and methods. YLLs were calculated from age-sex-country-time-specific estimates of mortality by cause, with death by standardised lost life expectancy at each age. YLDs were calculated as prevalence of 1160 disabling sequelae, by age, sex, and cause, and weighted by new disability weights for each health state. Neither YLLs nor YLDs were age-weighted or discounted. Uncertainty around cause-specific DALYs was calculated incorporating uncertainty in levels of all-cause mortality, cause-specific mortality, prevalence, and disability weights. Global DALYs remained stable from 1990 (2·503 billion) to 2010 (2·490 billion). Crude DALYs per 1000 decreased by 23% (472 per 1000 to 361 per 1000). An important shift has occurred in DALY composition with the contribution of deaths and disability among children (younger than 5 years of age) declining from 41% of global DALYs in 1990 to 25% in 2010. YLLs typically account for about half of disease burden in more developed regions (high-income Asia Pacific, western Europe, high-income North America, and Australasia), rising to over 80% of DALYs in sub-Saharan Africa. In 1990, 47% of DALYs worldwide were from communicable, maternal, neonatal, and nutritional disorders, 43% from non-communicable diseases, and 10% from injuries. By 2010, this had shifted to 35%, 54%, and 11%, respectively. Ischaemic heart disease was the leading cause of DALYs worldwide in 2010 (up from fourth rank in 1990, increasing by 29%), followed by lower respiratory infections (top rank in 1990; 44% decline in DALYs), stroke (fifth in 1990; 19% increase), diarrhoeal diseases (second in 1990; 51% decrease), and HIV/AIDS (33rd in 1990; 351% increase). Major depressive disorder increased from 15th to 11th rank (37% increase) and road injury from 12th to 10th rank (34% increase). Substantial heterogeneity exists in rankings of leading causes of disease burden among regions. Global disease burden has continued to shift away from communicable to non-communicable diseases and from premature death to years lived with disability. In sub-Saharan Africa, however, many communicable, maternal, neonatal, and nutritional disorders remain the dominant causes of disease burden. The rising burden from mental and behavioural disorders, musculoskeletal disorders, and diabetes will impose new challenges on health systems. Regional heterogeneity highlights the importance of understanding local burden of disease and setting goals and targets for the post-2015 agenda taking such patterns into account. Because of improved definitions, methods, and data, these results for 1990 and 2010 supersede all previously published Global Burden of Disease results. Bill & Melinda Gates Foundation. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                Cochrane Database of Systematic Reviews
                Wiley
                14651858
                December 03 2014
                Affiliations
                [1 ]Academic Medical Center, University of Amsterdam; Coronel Institute of Occupational Health/Dutch Research Center for Insurance Medicine; PO Box 22700 Amsterdam Netherlands 1100 DE
                [2 ]Coronel Institute of Occupational Health/Dutch Research Center for Insurance Medicine, Academic Medical Center, University of Amsterdam; Meibergdreef 9 Amsterdam Netherlands 1105 AZ
                [3 ]Finnish Institute of Occupational Health; Cochrane Occupational Safety and Health Review Group; PO Box 310 Kuopio Finland 70101
                [4 ]Deutsche Krankenhausgesellschaft (The German Hospital Federation); Wegelystraße 3 Berlin Germany 10623
                [5 ]Academic Medical Center, University of Amsterdam; Program for Mood Disorders; Meibergdreef 5 Amsterdam Netherlands 1105 AZ
                [6 ]Netherlands Society of Occupational Medicine; NVAB Centre of Excellence; PO Box 2113 Utrecht Netherlands 3500GC
                [7 ]Tilburg University; Department Tranzo, Faculty of Social and Behavioural Sciences; PO Box 90153 TIAS Building T307 Tilburg Netherlands 5000 LE
                [8 ]University Medical Center Groningen, University of Groningen; Department of Health Sciences, Community and Occupational Medicine; Groningen Netherlands
                Article
                10.1002/14651858.CD006237.pub3
                25470301
                c4688dcb-2939-4d25-aa43-2550c06b8936
                © 2014
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