Estimating MS-related work productivity loss and factors associated with work productivity loss in a representative Australian sample of people with multiple sclerosis

2018 ◽  
Vol 25 (7) ◽  
pp. 994-1004 ◽  
Author(s):  
Jing Chen ◽  
Bruce Taylor ◽  
Andrew J Palmer ◽  
Andrea Kirk-Brown ◽  
Pieter van Dijk ◽  
...  

Background: Little is known about the work productivity loss in multiple sclerosis (MS). Objectives: To quantify the MS-related work productivity loss and to compare factors associated with labour force participation and work productivity loss. Methods: Participants were from the Australian MS Longitudinal Study. MS-related work productivity loss included absenteeism (time missed from work) and presenteeism (reduced productivity while working). Data were analysed using log-binomial and Cragg hurdle regression. Results: Among 740 MS employees, 56% experienced any work productivity loss due to MS in the past 4  weeks. The mean total work productivity loss was 2.5  days (14.2% lost productive time), absenteeism 0.6  days (3.4%) and presenteeism 1.9  days (10.8%)), leading to AU$6767 (US$4985, EURO€4578) loss per person annually. Multivariable analyses showed that work productivity was determined most strongly by symptoms, particularly ‘fatigue and cognitive symptoms’ and ‘pain and sensory symptoms’, while older age, and lower education level were also predictive of not being in the labour force. Conclusion: MS-related presenteeism was three times higher than absenteeism, highlighting the importance of presenteeism being included in employment outcomes. The dominance of symptom severity as predictors of both work participation and productivity loss emphasises the need for improved management of symptoms.

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1658.1-1658
Author(s):  
L. Tu ◽  
Y. Xie ◽  
Q. Lv ◽  
M. Yang ◽  
Z. Liao ◽  
...  

Background:Poorer work productivity due to pain and functional impairment is commonly seen in ankylosing spondylitis (AS) patients, which may contribute to huge social economic burden. However, data about work outcomes and associated factors in Chinese AS patients were barely reported.Objectives:To assess work outcomes and identify factors associated with poor work productivity in patients with AS in China.Methods:A cross-sectional study was conducted in China. Adult patients (aged ≥ 18 years) fulfilled the 1984 New York modified criteria of AS were enrolled from rheumatology center from Jan 2017 to Aug 2017. All participants completed questionnaires about socio-demographic characteristics, disease characteristics, quality of life and the Work productivity and activity impairment questionnaire in AS (WPAI:SpA) to accesses the impact of chronic health conditions on job performance and productivity. Factors associated with work outcomes were evaluated.Results:A total of 91 patients with AS were included: 87.8% males, 78.02% employed, mean age and disease duration of 30 and 10 years respectively. The mean (SD) activity impairment of all patients was 48.57% (22.02%). For patients with employed work, mean (SD) absenteeism, presenteeism and work productivity loss were 10.22% (19.44%), 43.86% (22.48%) and 47.92% (25.81%) respectively. In multivariable analysis, activity impairment was associated with Bath Ankylosing Spondylitis Functional Index (BASFI) (P<0.01) and Ankylosing Spondylitis Quality of Life (ASQoL) (P<0.01). Absenteeism was associated with disease duration (P=0.03). Presenteeism was associated with disease duration (P=0.04), BASFI (P<0.01) and ASQoL (P<0.01). Work productivity loss was associated with BASFI (P<0.01) and ASQoL (P<0.01).Conclusion:Longer disease duration, reduced physical function and poorer quality of life are associated with reduced work productivity in Chinese AS patients.References:[1]Boonen A, van der Heijde D, Landewe R, Spoorenberg A, Schouten H, Rutten-van Molken M, et al. Work status and productivity costs due to ankylosing spondylitis: comparison of three European countries. Annals of the rheumatic diseases. 2002;61(5):429-37.[2]Martindale J, Shukla R, Goodacre J. The impact of ankylosing spondylitis/axial spondyloarthritis on work productivity. Best Pract Res Clin Rheumatol. 2015;29(3):512-23.[3]Castillo-Ortiz JD, Ramiro S, Landewe R, van der Heijde D, Dougados M, van den Bosch F, et al. Work Outcome in Patients With Ankylosing Spondylitis: Results From a 12-Year Followup of an International Study. Arthritis Care Res (Hoboken). 2016;68(4):544-52.[4]Sag S, Nas K, Sag MS, Tekeoglu I, Kamanli A. Relationship of work disability between the disease activity, depression and quality of life in patients with ankylosing spondylitis. J Back Musculoskelet Rehabil. 2018;31(3):499-505.[5]Goh Y, Kwan YH, Leung YY, Fong W, Cheung PP. A cross-sectional study on factors associated with poor work outcomes in patients with axial spondyloarthritis in Singapore. Int J Rheum Dis. 2019;22(11):2001-8.Disclosure of Interests:None declared


2015 ◽  
Vol 64 (4) ◽  
pp. 303-306 ◽  
Author(s):  
Ana Claudia de Cerqueira ◽  
Patrícia Semionato Andrade ◽  
José Maurício Godoy-Barreiros ◽  
Adriana Cardoso de Oliveira e Silva ◽  
Antonio Egídio Nardi

ABSTRACT Objective To evaluated the prevalence and the suicide risk in a Brazilian sample of patients with multiple sclerosis (MS) and to identify potential factors associated with the risk of suicide. A study was performed with outpatient with MS. The risk of suicide and the presence of psychiatric disorders were assessed by version 5.0 of the Mini-International Neuropsychiatric Interview (MINI). The sample of patients at risk for suicide was matched by sex and age to a control group of patients with MS. Results Eight point three percent of the patients had a past history of attempted suicide, and 8.3% had a current suicide risk, totaling 16.6%. The results of this study suggest that the risk factors associated with suicide in this population are depression, marital status single, widowed or divorced, and lower education level.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Barnabas Bessing ◽  
Leigh Blizzard ◽  
Mohammad A. Hussain ◽  
Suzi B. Claflin ◽  
Bruce V. Taylor ◽  
...  

Abstract Background studies have documented increased employment rates and MS-related work productivity loss in people living with multiple sclerosis (PwMS). Little is known about the longitudinal trends of work productivity of PwMS. Objectives To describe the longitudinal patterns of work productivity of PwMS, and examine the factors associated with longitudinal change of work productivity of PwMS. Methods Study participants were from the Australian MS Longitudinal Study (AMSLS) followed from 2015 to 2018 (n = 2724) who were employed. We described the longitudinal patterns of work productivity and determined the correlates of the changes in work productivity of PwMS. We used linear mixed effect modelling to analyse the data. Results From our mixed effect model analysis, feelings of depression, walking difficulties, and spasticity problems were independently associated with -1.45 (-1.95 to -0.95), -1.35 (-1.98 to -0.72) and -1.04 (-1.63 to -0.45) per annum change in work productivity respectively. Annual changes in MS symptom clusters: difficulties with walking, balance and spasticity; anxiety and depression; and fatigue and cognitive symptoms were independently associated with -2.53 (-3.53 to -1.52), -1.51 (-2.27 to -0.74), -0.86 (-1.67 to -0.06) percent annual change in work productivity of PwMS respectively. Conclusion Symptoms cluster like ‘difficulties with walking, balance and spasticity’, ‘feelings of anxiety and depression’, and ‘fatigue and cognitive symptoms’ impact significantly on work productivity. Key messages MS related annual work productivity loss is marginal but is strongly driven by annual changes in walking difficulties, feelings of depression and spasticity problems


2021 ◽  
pp. 135245852110411
Author(s):  
Kristen M Krysko ◽  
Annika Anderson ◽  
Jessica Singh ◽  
Kira McPolin ◽  
Alice Rutatangwa ◽  
...  

Background: Peripartum depression (PPD) is underexplored in multiple sclerosis (MS). Objective: To evaluate prevalence of and risk factors for PPD in women with MS. Methods: Retrospective single-center analysis of women with MS with a live birth. Prevalence of PPD was estimated with logistic regression with generalized estimating equations (GEE). GEE evaluated predictors of PPD (e.g. age, marital status, parity, pre-pregnancy depression/anxiety, antidepressant discontinuation, sleep disturbance, breastfeeding, relapses, gadolinium-enhancing lesions, and disability). Factors significant in univariable analyses were included in multivariable analysis. Results: We identified 143 live births in 111 women (mean age 33.1 ± 4.7 years). PPD was found in 18/143 pregnancies (12.6%, 95% CI = 7.3–17.8). Factors associated with PPD included older age (OR 1.16, 95% CI = 1.03–1.32 for 1-year increase), primiparity (OR 4.02, CI = 1.14–14.23), pre-pregnancy depression (OR 3.70, CI = 1.27–10.01), sleep disturbance (OR 3.23, CI = 1.17–8.91), and breastfeeding difficulty (OR 3.58, CI = 1.27–10.08). Maternal age (OR 1.17, CI = 1.02–1.34), primiparity (OR 8.10, CI = 1.38–47.40), and pre-pregnancy depression (OR 3.89, CI = 1.04–14.60) remained significant in multivariable analyses. Relapses, MRI activity, and disability were not associated with PPD. Conclusion: The prevalence of PPD in MS appeared similar to the general population, but was likely underestimated due to lack of screening. PPD can affect MS self-management and offspring development, and prospective studies are needed.


2019 ◽  
Vol 26 (12) ◽  
pp. 1550-1559 ◽  
Author(s):  
Jing Chen ◽  
Bruce Taylor ◽  
Tania Winzenberg ◽  
Andrew J Palmer ◽  
Andrea Kirk-Brown ◽  
...  

Background: More work is needed to understand the burden of comorbidities in people with multiple sclerosis (MS). Objective: To assess prevalence of 30 comorbidities and impacts of comorbidities on employment outcomes in a working-aged MS cohort. Methods: Participants were from the Australian MS Longitudinal Study ( n = 929). Information on specific comorbidity was obtained (whether or not each was present, doctor-diagnosed, limited their activities and being treated). Results: Comorbidities most frequently reported to limit activities were osteoarthritis (51%), migraines (40%), anxiety (33%), depression (29%) and allergies (18%). Mean MS-related work productivity loss in past 4 weeks was 1.3 days for those without comorbidities and 2.5 days for those with any comorbidity. The annual population costs of work productivity loss were highest for people with depression, allergies, anxiety, migraines and osteoarthritis. Higher number of comorbidities was associated with more work productivity loss and a higher likelihood of not working. These associations were substantially reduced after adjustment for MS symptom severity. Conclusions: Comorbidities substantially impact employment outcomes and these effects were mainly mediated through MS symptom severity. This suggests that optimal and simultaneous management of comorbidities may be a viable strategy to reduce MS symptom severity, which in turn could improve employment outcomes.


2021 ◽  
Author(s):  
Khyati K Banker ◽  
Danny Liew ◽  
Zanfina Ademi ◽  
Alice J Owen ◽  
Afsana Afroz ◽  
...  

<b>OBJECTIVE</b> Diabetes increases the risk of premature mortality and considerably impacts on work productivity. We sought to examine the impact of diabetes in India, in terms of excess premature mortality, years of life lost (YLL), productivity-adjusted life years (PALYs) lost and its associated economic impact. <p><b>RESEARCH DESIGN AND METHODS</b> A lifetable model was constructed to examine the productivity of the Indian working-age population currently aged 20–59 years with diabetes, until death or retirement age (60 years). The same cohort was re-simulated, hypothetically assuming that they did not have diabetes. The total difference between the two cohorts, in terms of excess deaths, YLL and PALYs lost reflected the impact of diabetes. Data regarding the prevalence of diabetes, mortality, labour force dropouts and productivity loss attributable to diabetes were derived from published sources. </p> <p><b>RESULTS</b> In 2017, an estimated 54.4 million (7.6%) people of working-age in India had diabetes. With simulated follow-up until death or retirement age, diabetes was predicted to cause 8.5 million excess deaths (62.7% of all deaths), 42.7 million YLL (7.4% of total estimated years of life lived) and 89.0 million PALYs lost (23.3% of total estimated PALYs), equating to an estimated INR 176.6 trillion (USD 2.6 trillion; PPP 9.8 trillion) in lost GDP<a>. </a></p> <p><b>CONCLUSIONS </b>Our study demonstrates the impact of diabetes on productivity loss and highlights the importance of health strategies aimed at the prevention of diabetes.</p>


2019 ◽  
Vol 21 (5) ◽  
pp. 214-225 ◽  
Author(s):  
Celestin Hategeka ◽  
Anthony L. Traboulsee ◽  
Katrina McMullen ◽  
Larry D. Lynd

Abstract Background: Multiple sclerosis (MS) typically affects young adults during their primary productive years. We assessed the magnitude of, and factors associated with, employment status and informal care in people with MS in Canada. Methods: Data were compiled from the nationally representative cross-sectional Survey on Living with Neurological Conditions in Canada (SLNCC), which included adolescents and adults (age ≥15 years). Employment status was categorized as currently working or not working. The frequency of informal care that people with MS received was categorized as none, less than daily, or daily. Logistic regression analyses were undertaken to identify factors associated with employment status and informal care requirements in people with MS. Results: Of 4409 SLNCC respondents, 631 had MS, of whom 530 were included in the analysis. Of 358 respondents aged 18 to 65 years, 47.8% were not working because of MS; 44.0% reported receiving informal care, with more than half requiring daily care. For caregivers' employment, 15.5% reduced work and 8.2% stopped working because of caregiving. Greater feelings of stigmatization were associated with not working (adjusted odds ratio, 7.42 [95% CI, 2.59–21.28]) and greater informal care (adjusted odds ratio, 3.83 [95% CI, 1.84–7.96]), adjusting for sex, age, education, health-related quality of life, time since MS diagnosis, and comorbidity. Conclusions: People who feel stigmatized because of their MS are more likely to be unemployed and to require more informal care. Further research is needed to understand the temporal nature of the association between stigma and employment, productivity loss, and informal care.


2021 ◽  
Author(s):  
Khyati K Banker ◽  
Danny Liew ◽  
Zanfina Ademi ◽  
Alice J Owen ◽  
Afsana Afroz ◽  
...  

<b>OBJECTIVE</b> Diabetes increases the risk of premature mortality and considerably impacts on work productivity. We sought to examine the impact of diabetes in India, in terms of excess premature mortality, years of life lost (YLL), productivity-adjusted life years (PALYs) lost and its associated economic impact. <p><b>RESEARCH DESIGN AND METHODS</b> A lifetable model was constructed to examine the productivity of the Indian working-age population currently aged 20–59 years with diabetes, until death or retirement age (60 years). The same cohort was re-simulated, hypothetically assuming that they did not have diabetes. The total difference between the two cohorts, in terms of excess deaths, YLL and PALYs lost reflected the impact of diabetes. Data regarding the prevalence of diabetes, mortality, labour force dropouts and productivity loss attributable to diabetes were derived from published sources. </p> <p><b>RESULTS</b> In 2017, an estimated 54.4 million (7.6%) people of working-age in India had diabetes. With simulated follow-up until death or retirement age, diabetes was predicted to cause 8.5 million excess deaths (62.7% of all deaths), 42.7 million YLL (7.4% of total estimated years of life lived) and 89.0 million PALYs lost (23.3% of total estimated PALYs), equating to an estimated INR 176.6 trillion (USD 2.6 trillion; PPP 9.8 trillion) in lost GDP<a>. </a></p> <p><b>CONCLUSIONS </b>Our study demonstrates the impact of diabetes on productivity loss and highlights the importance of health strategies aimed at the prevention of diabetes.</p>


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