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Machado A, Azad A, Pettersson E, Hillert J, Alexanderson K, Friberg E. Gender differences in earnings among people with multiple sclerosis and associations with type of occupation and family composition: A population-based study with matched references. PLoS One 2023; 18:e0288998. [PMID: 37531326 PMCID: PMC10395842 DOI: 10.1371/journal.pone.0288998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 07/07/2023] [Indexed: 08/04/2023] Open
Abstract
Gender differences in earnings exist worldwide. Gender segregation or familial status have been previously stated as possible explanations for these differences as well as health differences between women and men. Women are diagnosed with multiple sclerosis (MS) as twice much as men. Moreover, MS limitations may affect the work capacity of people with MS (PwMS) implying a reduction in their earnings. We aimed to explore gender differences in earnings among people with MS and without MS and between groups of those diagnosed while also considering types of occupation and family composition, and how these possible differences relate to sickness absence (SA) and disability pension (DP). We conducted a population-based cohort study in Sweden with microdata from several nationwide registers. PwMS aged 19-57 years (n = 5128) living in Sweden and 31,767 matched references from the population without MS. Outcome measures included earnings, number of SA and DP days combined (SA/DP). A four-way weighted least-squares analysis of covariance was performed to explore the associations of gender, MS, type of occupation, and family composition with earnings. Risk of SA and DP days was assessed with logistic regression. Overall, and across all occupations, women earned less than men, although less so among managers with MS. Annual gender differences in earnings were larger if living with children at home compared to not living with children. Nevertheless, these gender differences decreased after adjusting for SA/DP, both among PwMS and references. PwMS had considerably more SA/DP days than references. Women also had more SA/DP days than men. We observed that working women earned less than working men, and that gender differences in earnings were present in all occupations, although less evident among PwMS in managerial positions. The combination of gender, occupation, family composition, and MS, was associated with earnings, even when adjusting for the number of SA and DP days.
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Affiliation(s)
- Alejandra Machado
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Azadé Azad
- Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Emma Pettersson
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jan Hillert
- Division of Neurology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Kristina Alexanderson
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Emilie Friberg
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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Machado A, Murley C, Hillert J, Alexanderson K, Friberg E. Self-employment, sickness absence, and disability pension in multiple sclerosis. Acta Neurol Scand 2022; 146:283-294. [PMID: 35781876 PMCID: PMC9544424 DOI: 10.1111/ane.13664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 06/02/2022] [Accepted: 06/14/2022] [Indexed: 11/29/2022]
Abstract
Objectives Early withdrawal from work is common among people with multiple sclerosis (PwMS). However, little is known about how this is influenced by the type of employment. The aims were to explore the distributions of self‐employed and other types of employment (employed or no earnings from work) before and after MS diagnosis and its associations with sickness absence (SA) and disability pension (DP) among PwMS and matched references without MS. Materials & Method A 6‐year longitudinal cohort study of 2779 individuals diagnosed with MS in 2008–2012 when aged 20–59 and of 13,863 matched individuals without MS from Sweden's population was conducted. Hazard ratios (HR) of >180 SA and/or DP days/year were compared by employment status among PwMS and references using Cox proportional hazard models with 95% confidence intervals (CI). Results Most had no SA or DP. Nevertheless, PwMS had higher SA and DP levels compared with references. PwMS had a higher likelihood to reach >180 days of SA (HR = 4.89, 95% CI = 4.43–5.40) or days of DP (HR = 6.31, 95% CI = 5.46–7.30), irrespective of the employment status. Self‐employed references had less likelihood for >180 SA days than employed references. However, self‐employed and employed PwMS had a similar likelihood for >180 SA days. Transitions of employees to self‐employment were infrequent among PwMS (1.7%) and references (2.6%). Conclusions PwMS transit to SA and DP to a higher extent than references. In contrast to individuals without MS, self‐employed PwMS had similar SA levels to employed PwMS. Switching to self‐employment was not a predominant choice for people recently diagnosed with MS.
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Affiliation(s)
- Alejandra Machado
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Chantelle Murley
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jan Hillert
- Division of Neurology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Kristina Alexanderson
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Emilie Friberg
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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Murley C, Tinghög P, Alexanderson K, Hillert J, Friberg E, Karampampa K. Cost-of-Illness Progression Before and After Diagnosis of Multiple Sclerosis: A Nationwide Register-Based Cohort Study in Sweden of People Newly Diagnosed with Multiple Sclerosis and a Population-Based Matched Reference Group. PHARMACOECONOMICS 2021; 39:835-851. [PMID: 33970446 PMCID: PMC8200344 DOI: 10.1007/s40273-021-01035-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 04/18/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Multiple sclerosis (MS) is a chronic disease associated with increased healthcare utilisation and productivity losses. OBJECTIVE The objective of this study was to explore the progression of healthcare costs and productivity losses before and after diagnosis of MS in comparison to that of a population-based matched reference group. METHODS We conducted a nationwide, Swedish register-based cohort study of working-aged people with MS diagnosed in 2010-12 (n = 1988) and population-based matched references without MS (n = 7981). Nine years of observation spanned from 4 years prior (Y-4) to 4 years (Y+4) after the year of diagnosis (Y0). Differences in annual all-cause healthcare costs (inpatient and specialised outpatient healthcare as well as pharmacy-dispensed prescribed drugs) and costs of productivity loss (days with sickness absence and disability pension) were estimated between the people with MS and references using t tests with 95% confidence intervals. The average excess costs of MS were estimated using generalised estimating equation models. RESULTS People with multiple sclerosis had higher costs before the diagnosis of MS and also thereafter. The mean differences in healthcare costs and productivity losses between the people with MS and matched references in Y-4 were 216 EUR (95% confidence interval 58-374) and 1540 EUR (95% confidence interval 848-2233), with larger cost excesses observed in later study years. Summarising the 9 study years, people with MS had fivefold higher excess healthcare costs than references, and more than twice as high productivity losses. CONCLUSIONS Excess healthcare costs and productivity losses occur already before the diagnosis of MS and increase with time. The excess costs findings before diagnosis could suggest that an earlier diagnosis might lead to reduced excess costs of MS over time.
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Affiliation(s)
- Chantelle Murley
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171-77, Stockholm, Sweden.
| | - Petter Tinghög
- Department of Health Sciences, Swedish Red Cross University College, 141-21, Huddinge, Sweden
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, 171-77, Stockholm, Sweden
| | - Kristina Alexanderson
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171-77, Stockholm, Sweden
| | - Jan Hillert
- Division of Neurology, Department of Clinical Neuroscience, Karolinska Institutet, 171-77, Stockholm, Sweden
| | - Emilie Friberg
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171-77, Stockholm, Sweden
| | - Korinna Karampampa
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171-77, Stockholm, Sweden
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Kavaliunas A, Danylaite Karrenbauer V, Hillert J. Socioeconomic consequences of multiple sclerosis-A systematic literature review. Acta Neurol Scand 2021; 143:587-601. [PMID: 33748960 DOI: 10.1111/ane.13411] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 02/21/2021] [Accepted: 02/22/2021] [Indexed: 12/18/2022]
Abstract
Multiple sclerosis (MS) is a challenging and disabling condition, predominantly affecting individuals in their early life, and has an impact functionally, financially, and on quality of life. However, there is a lack of systematic approach towards assessing socioeconomic consequences of MS. Our objective was to systematically review observational analytical studies investigating the socioeconomic consequences of MS. We conducted a systematic review on socioeconomic consequences of MS with a focus on employment-, income-, work ability- and relationship-related outcomes between MS and the general population. Additionally, the educational characteristics were extracted. From 4958 studies identified, 187 were assessed for eligibility and a total of 27 studies from eight countries were included in this qualitative assessment; 32 different outcomes were identified. All studies indicated pronounced differences between MS patients and the general population, for example 15%-30% lower employment, lower earnings and higher social benefits, higher absenteeism and presenteeism proportions, higher work disability (eg, sick-leave days) among MS patients. Some studies also indicated differences in the family or relationship characteristics. There were no apparent differences with regard to educational level. In conclusion, socioeconomic data can serve as robust outcome measures to study various aspects of MS reflecting the broader consequences of the disease.
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Affiliation(s)
- Andrius Kavaliunas
- Department of Clinical Neuroscience Karolinska Institutet Stockholm Sweden
| | - Virginija Danylaite Karrenbauer
- Department of Clinical Neuroscience Karolinska Institutet Stockholm Sweden
- Neurology Medical Unit Karolinska University Hospital Stockholm Sweden
| | - Jan Hillert
- Department of Clinical Neuroscience Karolinska Institutet Stockholm Sweden
- Neurology Medical Unit Karolinska University Hospital Stockholm Sweden
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Víctor-Carvalho P, Thome R, Rapôso C. Can tetracyclines ensure help in multiple sclerosis immunotherapy? J Clin Transl Res 2021; 7:22-33. [PMID: 34104806 PMCID: PMC8177043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 04/15/2020] [Accepted: 10/27/2020] [Indexed: 10/31/2022] Open
Abstract
BACKGROUND Multiple sclerosis (MS) is a disease of the central nervous system where an autoimmune response leads to chronic inflammation. It represents the second leading cause of non-traumatic disability in the world, affecting mainly young adults and with high female to male incidence. At present, the causative agent in MS is unknown, preventing the development of prophylaxis policies and the understanding of how the human system copes with this complex inflammation. Tetracyclines (Tet) have attracted great attention due to their anti-inflammatory effects. Minocycline and doxycycline represent the second-generation Tet that have been largely used to treat acne and to suppress inflammation. In addition, they are safer and cheaper than other drugs currently used to treat MS. AIM This study aims to review recent data involving the Tet minocycline and doxycycline and their therapeutic potential in MS. RELEVANCE FOR PATIENTS Many of the drugs used to treat MS have severe side effects and are costly. Tet, on the other hand, are a safe and inexpensive class of drugs that can modulate the immune response in MS patients.
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Affiliation(s)
- Pedro Víctor-Carvalho
- Department of Structural and Functional Biology, Institute of Biology, University of Campinas, Campinas, SP, Brazil
- Laboratory of Drug Development, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, SP, Brazil
| | - Rodolfo Thome
- Department of Neurology, Thomas Jefferson University, Philadelphia-PA, USA
| | - Catarina Rapôso
- Laboratory of Drug Development, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, SP, Brazil
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Abstract
PURPOSE OF REVIEW To outline recent applications of e-health data and digital tools for improving the care and management of healthcare for people with multiple sclerosis. RECENT FINDINGS The digitization of most clinical data, along with developments in communication technologies, miniaturization of sensors and computational advances are enabling aggregation and clinically meaningful analyses of real-world data from patient registries, digital patient-reported outcomes and electronic health records (EHR). These data are allowing more confident descriptions of prognoses for multiple sclerosis patients and the long-term relative benefits and safety of disease-modifying treatments (DMT). Registries allow detailed, multiple sclerosis-specific data to be shared between clinicians more easily, provide data needed to improve the impact of DMT and, with EHR, characterize clinically relevant interactions between multiple sclerosis and other diseases. Wearable sensors provide continuous, long-term measures of performance dynamics in relevant ecological settings. In conjunction with telemedicine and online apps, they promise a major expansion of the scope for patients to manage aspects of their own care. Advances in disease understanding, decision support and self-management using these Big Data are being accelerated by machine learning and artificial intelligence. SUMMARY Both health professionals and patients can employ e-health approaches and tools for development of a more patient-centred learning health system.
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Ronne-Engström E, Alexanderson K, Friberg E. Sickness absence, disability pension and economic situation after a spontaneous subarachnoid haemorrhage among people of working age: a Swedish longitudinal nationwide cohort study. BMJ Open 2021; 11:e040941. [PMID: 33495252 PMCID: PMC7839850 DOI: 10.1136/bmjopen-2020-040941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVES The aim was to describe the course of sickness absence (SA), disability pension (DP) and work-related economic situation defined as earnings (EA) and disposable income (DI), after spontaneous subarachnoid haemorrhage (SAH). Associations of SA, DP, EA and DI with demographic factors were also studied. DESIGN A longitudinal cohort study of all 1932 people in Sweden who in January 2005 to December 2010 had a first time SAH when aged 17 to 64 years and survived during the 3-year follow-up. Microdata from four nationwide administrative registers were used. MAIN OUTCOME MEASURES Primary outcome was the presence of SA and DP and how this changed during the study period of 5 years (the year before, the year of SAH and the following 3 years). The secondary outcome was the development of the income variables EA and DI. Demographic factors analysed were sex, age, source of bleeding, country of birth, family situation, educational level and type of living area. RESULTS The year before the SAH, 7.9% of women and 4.6% of men had some SA registered (p<0.004). A model consisting of female sex, higher education and living single predicted having SA that year. At the end of the follow-up, 39.2% of women and 28.3% of men had SA and/or DP (p<0.0001). A model consisting of female sex, living in a village/ rural area and having a defined bleeding source for the SAH was predicting having SA and/or DP at end of follow-up. The levels of EA decreased, while DI increased during follow-up and were at the end of follow-up associated with age, sex, type of living area, country of birth, educational level and family situation. The women's EA was lower than the men's during all years. CONCLUSIONS SAH influenced future SA, DP, as well as EA. Both SA, DP and the economic variables studied were predicted by models including sex.
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Affiliation(s)
| | - Kristina Alexanderson
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institute, SE-171 77 Stockholm, Sweden
| | - Emilie Friberg
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institute, SE-171 77 Stockholm, Sweden
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Murley C, Tinghög P, Karampampa K, Hillert J, Alexanderson K, Friberg E. Types of working-life sequences among people recently diagnosed with multiple sclerosis in Sweden: a nationwide register-based cohort study. BMJ Open 2020; 10:e039228. [PMID: 33376161 PMCID: PMC7778766 DOI: 10.1136/bmjopen-2020-039228] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVES To explore sequences of annual states of activity and sickness absence (SA) or disability pension (DP) (SA/DP) among working-aged people with multiple sclerosis (PwMS) as well as characteristics associated with the identified types of working-life sequences. DESIGN Nationwide Swedish register-based cohort study from 1 year prior to 5 years after the year of multiple sclerosis (MS) diagnosis. SETTING Sweden. PARTICIPANTS PwMS diagnosed in 2008-2011 when aged 20-55 (n=2652, 69.9% women). PRIMARY AND SECONDARY OUTCOME MEASURES Individual-level sequences spanning 7 years were constructed with annual states regarding activity (income from paid work, student allowances, parental leave or unemployment compensation) and/or SA/DP. Types of working-life sequences were identified among the individuals' sequences using hierarchical cluster analysis with optimal matching dissimilarity measures. RESULTS Six types of working-life sequences were identified. The largest cluster, Stable High Activity, represented 48.4% of the cohort. Other types were: Stable High SA/DP (14.5%); Other (4.5%); and three types with mixed activity and varying SA/DP regarding the number of days/year and timing (32.6%). Characteristics of the different identified types of sequences were subsequently investigated. All types of sequences had lower odds for university education (OR range: 0.18-0.72) compared with Stable High Activity. Increasingly higher odds of having anxiety/depression compared with Stable High Activity were observed across the types of sequences, by increasing proportions of SA/DP. Stable High SA/DP sequences were less likely than Stable High Activity to be prescribed MS drugs in the MS diagnosis year (OR 0.61; 95% CI 0.47 to 0.78). All types of sequences had higher disposable income in the final study year than the first, except for Stable High SA/DP sequences (Swedish Krona 4669, 95% CI -1892 to 11 230). CONCLUSIONS Diversity in working life was influenced by sociodemographic and clinical characteristics resulting in different activity and SA/DP patterns across the six identified types of working-life sequences.
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Affiliation(s)
- Chantelle Murley
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171-77 Stockholm, Sweden
| | - Petter Tinghög
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171-77 Stockholm, Sweden
- Department of Health Sciences, Swedish Red Cross University College, 141-21 Huddinge, Sweden
| | - Korinna Karampampa
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171-77 Stockholm, Sweden
| | - Jan Hillert
- Division of Neurology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, 171-77 Sweden
| | - Kristina Alexanderson
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171-77 Stockholm, Sweden
| | - Emilie Friberg
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171-77 Stockholm, Sweden
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Employment status of people with multiple sclerosis in relation to 10-year changes in functioning and perceived impact of the disease. Mult Scler Relat Disord 2020; 46:102519. [PMID: 32977076 DOI: 10.1016/j.msard.2020.102519] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 08/19/2020] [Accepted: 09/15/2020] [Indexed: 11/21/2022]
Abstract
BACKGROUND Although it is well known that people with multiple sclerosis (PwMS) retire from work early, little is known about how long-term changes in functioning and perceived impact of multiple sclerosis (MS) interact with sustainability of employment. OBJECTIVE To explore changes in functioning and in perceived impact of MS over 10 years, in relation to employment status of PwMS. METHODS In order to measure functioning, data on activities (walking ability, fine hand use, personal activities in daily living); participation in activities of everyday life (domestic, outdoor and leisure activities); body functions (cognitive function, fatigue, depressive symptoms); and perceived impact of MS were collected in 116 PwMS at baseline and at a 10-year follow-up. Ten-year changes were explored with the participants divided into four subgroups based on employment status at the follow-up: 1) full-time work at the 10-year follow-up; 2) part-time work at the 10-year follow-up; 3) declined from working at baseline to not working at the 10-year follow-up; and 4) not working at baseline nor at the 10-year follow-up. RESULTS Patterns of change in functioning for PwMS who worked showed a more apparent deterioration over 10 years among those working part-time with regard to walking ability, fatigue and depressive symptoms. Members of the subgroups who declined from working at baseline to not working at the 10-year follow-up or who were working neither at baseline nor at the follow-up deteriorated the most in functioning. The subgroup whose employment status declined from baseline to follow-up showed a significant decrease in cognitive function and an increase in perceived physical impact of the disease. All subgroups experienced a deterioration in walking ability over the 10-year span, and in all subgroups a majority had limited fine hand use over the span of the study period. CONCLUSION The deterioration in functioning was most apparent in those PwMS whose employment status declined from working at baseline to not working at the 10-year follow-up. Close monitoring of work situation and frequency of activities and participation in everyday activities, as well as recurrent training of functioning, are suggested for maintaining a high level of functioning and work status, or for supporting transition to an appropriate number of working hours.
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Wiberg M, Murley C, Tinghög P, Alexanderson K, Palmer E, Hillert J, Stenbeck M, Friberg E. Earnings among people with multiple sclerosis compared to references, in total and by educational level and type of occupation: a population-based cohort study at different points in time. BMJ Open 2019; 9:e024836. [PMID: 31300492 PMCID: PMC6629418 DOI: 10.1136/bmjopen-2018-024836] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVES To investigate earnings among people with multiple sclerosis (PwMS) before and after MS diagnosis compared with people without MS, and if identified differences were associated with educational levels and types of occupations. Furthermore, to assess the proportions on sickness absence (SA) and disability pension (DP) in both groups. DESIGN Population-based longitudinal cohort study, 10 years before until 5 years after MS diagnosis. SETTING Working-age population using microdata linked from nationwide Swedish registers. PARTICIPANTS Residents in Sweden in 2004 aged 30-54 years with MS diagnosed in 2003-2006 (n=2553), and references without MS (n=7584) randomly selected by stratified matching. OUTCOME MEASURES Quartiles of earnings were calculated for each study year prior to and following the MS diagnosis. Mean earnings, by educational level and type of occupation, before and after diagnosis were compared using t-tests. Tobit regressions investigated the associations of earnings with individual characteristics. The proportions on SA and/or DP, by educational level and type of occupation, for the diagnosis year and 5 years later were compared. RESULTS Differences in earnings between PwMS and references were observed beginning 1 year before diagnosis, and increased thereafter. PwMS had lower mean earnings for the diagnosis year (difference=SEK 28 000, p<0.05), and 5 years after diagnosis, this difference had more than doubled (p<0.05). These differences remained after including educational level and type of occupation. Overall, the earnings of PwMS with university education and/or more qualified occupations were most like their reference peers. The proportions on SA and DP were higher among PwMS than the references. CONCLUSIONS The results suggest that the PwMS' earnings are lower than the references' beginning shortly before MS diagnosis, with this gap increasing thereafter. Besides SA and DP, the results indicate that educational level and type of occupation are influential determinants of the large heterogeneity of PwMS' earnings.
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Affiliation(s)
- Michael Wiberg
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Analysis and Forecast, Swedish Social Insurance Agency, Stockholm, Sweden
| | - Chantelle Murley
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Petter Tinghög
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Health Sciences, Swedish Red Cross University College, Huddinge, Sweden
| | - Kristina Alexanderson
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Edward Palmer
- Uppsala Center for Labor Studies, Department of Economics, Uppsala University, Uppsala, Sweden
| | - Jan Hillert
- Division of Neurology, Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Magnus Stenbeck
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Emilie Friberg
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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Ludvigsson JF, Svedberg P, Olén O, Bruze G, Neovius M. The longitudinal integrated database for health insurance and labour market studies (LISA) and its use in medical research. Eur J Epidemiol 2019; 34:423-437. [PMID: 30929112 PMCID: PMC6451717 DOI: 10.1007/s10654-019-00511-8] [Citation(s) in RCA: 531] [Impact Index Per Article: 106.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 03/12/2019] [Indexed: 12/17/2022]
Abstract
Education, income, and occupation are factors known to affect health and disease. In this review we describe the Swedish Longitudinal Integrated Database for Health Insurance and Labour Market Studies (LISA, Longitudinell Integrationsdatabas för Sjukförsäkrings- och Arbetsmarknadsstudier). LISA covers the adult Swedish population aged ≥ 16 years registered on December 31 each year since 1990 (since 2010 individuals aged ≥ 15 years). The database was launched in response to rising levels of sick leave in the country. Participation in Swedish government-administered registers such as LISA is compulsory, and hence selection bias is minimized. The LISA database allows researchers to identify individuals who do not work because of injury, disease, or rehabilitation. It contains data on sick leave and disability pension based on calendar year. LISA also includes information on unemployment benefits, disposable income, social welfare payments, civil status, and migration. During 2000–2017, an average of 97,000 individuals immigrated to Sweden each year. This corresponds to about 1% of the Swedish population (10 million people in 2017). Data on occupation have a completeness of 95%. Income data consist primarily of income from employment, capital, and allowances, including parental allowance. In Sweden, work force participation is around 80% (2017: overall: 79.1%; men 80.3% and women 77.9%). Education data are available in > 98% of all individuals aged 25–64 years, with an estimated accuracy for highest attained level of education of 85%. Some information on civil status, income, education, and employment before 1990 can be obtained through the Population and Housing Census data (FoB, Folk- och bostadsräkningen).
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Affiliation(s)
- Jonas F Ludvigsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. .,Department of Paediatrics, Örebro University Hospital, Örebro, Sweden. .,Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, Clinical Sciences Building 2, City Hospital, Nottingham, UK. .,Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.
| | - Pia Svedberg
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Ola Olén
- Clinical Epidemiology Unit, Department of Medicine Stockholm, Karolinska Institutet, Stockholm, Sweden
| | - Gustaf Bruze
- Clinical Epidemiology Unit, Department of Medicine Stockholm, Karolinska Institutet, Stockholm, Sweden
| | - Martin Neovius
- Clinical Epidemiology Unit, Department of Medicine Stockholm, Karolinska Institutet, Stockholm, Sweden
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Murley C, Yang F, Gyllensten H, Alexanderson K, Friberg E. Disposable income trajectories of working-aged individuals with diagnosed multiple sclerosis. Acta Neurol Scand 2018; 138:490-499. [PMID: 30043392 DOI: 10.1111/ane.13001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 06/21/2018] [Accepted: 07/04/2018] [Indexed: 12/30/2022]
Abstract
OBJECTIVES The economic situation of individuals diagnosed with multiple sclerosis (MS) is under studied, with the levels and sources of incomes suggested to vary with socio-demographics. We aimed to describe the diversity of disposable income (DI) trajectories among working-aged individuals with incident MS, and investigate the associations of socio-demographic characteristics with identified trajectories. MATERIALS & METHODS A population-based cohort study of all 1528 individuals first diagnosed with MS in 2008-2009 when aged 25-59, with data linked from three nationwide Swedish registers. DI was defined as net earnings plus net income from benefits. Trajectories of mean annual DI from 7 years prior to 4 years after diagnosis were identified by group-based trajectory modelling. An individual's group membership was determined by individual model-fit estimates from a multinomial logit function. Chi-squared tests and multinomial logistic regressions estimated the associations between trajectory membership and socio-demographic (sex, age, education, birth country, type of living area and family situation) and work disability (sickness absence and disability pension) characteristics. RESULTS Seven distinct DI trajectories were identified: two consistently low (50.7% of individuals); four increasing (39.0%); and one decreasing (10.3%). Socio-demographic and work disability characteristics were associated with trajectories; the increasing trajectories had older age-profiles and higher proportions of men, while university education was less common in the consistently low trajectories. CONCLUSIONS We identified high diversity in DI development within the cohort around MS diagnosis. Socio-demographic and work disability characteristics differed between the trajectories. This broader information of the economic situation is important to convey to patients.
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Affiliation(s)
- Chantelle Murley
- Division of Insurance Medicine; Department of Clinical Neuroscience; Karolinska Institutet; SE-171 77 Stockholm Sweden
| | - Fei Yang
- Division of Insurance Medicine; Department of Clinical Neuroscience; Karolinska Institutet; SE-171 77 Stockholm Sweden
| | - Hanna Gyllensten
- Division of Insurance Medicine; Department of Clinical Neuroscience; Karolinska Institutet; SE-171 77 Stockholm Sweden
| | - Kristina Alexanderson
- Division of Insurance Medicine; Department of Clinical Neuroscience; Karolinska Institutet; SE-171 77 Stockholm Sweden
| | - Emilie Friberg
- Division of Insurance Medicine; Department of Clinical Neuroscience; Karolinska Institutet; SE-171 77 Stockholm Sweden
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