Sick leave one year after COVID-19 infection: a nationwide cohort study during the first wave in Sweden.

This study aimed to investigate the patterns of sick leave, as well as factors associated with sick leave due to COVID-19 during one year after the COVID-19 diagnosis, and sex-related aspects on sick leave. This nationwide study involved 11,902 individuals who received sickness benefits for COVID-19 during the first wave of the pandemic. Data from three Swedish registries were analyzed for sick leave that commenced between March 1 and August 31, 2020, with a follow-up period of 12 months. Sick leave due to COVID-19 was counted as the number of days with sickness benefits and required to include at least one registered COVID-19 diagnosis. The median duration of sick leave was 35 days, and 347 (2.9%) individuals continued their sick leave during the entire follow-up period. Furthermore, 1 year later, the cumulative incidence of sick leave was slightly higher in males (3.5%) compared to females (2.7%). Older age, being single with no children, diagnosed with the virus, medium income level, history of sick leave, and need for inpatient care were significantly associated with a higher duration of sick leave due to COVID-19, both in the total population and when stratified by sex. These results indicated that three out of 100 (3%) patients were still on sick leave 1 year after their COVID-19 diagnosis. Aspects regarding the importance of sick leave duration differed between males and females and comprised sociodemographic characteristics and need for inpatient care. The results indicated the complexity of sick leave due to COVID-19.

Impact of pre-pandemic sick leave diagnoses on the length of COVID-19-related sick leave: a nationwide registry-based study.

BACKGROUND: The COVID-19 pandemic has caused difficulties and changes in many aspects of people's health and lives. Although infection affected work capacity, during the first wave policies for sick leave due to COVID-19 were unclear. The aim of this study was to investigate the impact of sick leave diagnoses in the year before the COVID-19 diagnosis  on sick leave duration due to COVID-19 in a nationwide non-hospitalised population. METHODS: Data from three Swedish registries were analysed for sick leave commencing between 1 March and 31 August 2020, with a follow-up period of 4 months. Sick leave due to COVID-19 was considered the number of days that sickness benefits were used and included at least one registered COVID-19 diagnosis. Sick leave in the year before COVID-19 diagnosis were categorised into five diagnostic groups and one reference group (participants without prior sick leave). RESULTS: The study comprised 8935 individuals who received sickness benefits due to COVID-19 in Sweden during the first pandemic wave (mean age 46.7 years, 67% females, and 24% had diagnoses for sick leave in the year before COVID-19 diagnosis). The duration of sick leave due to COVID-19 was significantly higher in the groups with prior sick leave owing to musculoskeletal system diseases (odds ratio [OR]: 1.08, 95% confidence interval [CI]: 1.01-1.15); respiratory system diseases (OR: 1.22, 95% CI: 1.14-1.31); all other isolated diagnoses (OR: 1.08, 95% CI: 1.03-1.14); and multiple diagnoses (OR: 1.32, 95% CI: 1.21-1.43). CONCLUSIONS: The results of this nationwide registry-based study indicate that individuals with premorbid conditions are more prone to longer sick leave durations due to COVID-19. Prediction of sick leave duration during the first wave of the COVID-19 pandemic is complex and several factors played a role.

Recurrent sick leave after COVID-19: investigating the first wave of the pandemic in a comprehensive Swedish registry-based study.

BACKGROUND: Sick-leave due to COVID-19 vary in length and might lead to re-current episodes. The aim was to investigate recurrent sick leave due to COVID-19 during the first wave. METHODS: This is a registry-based cohort study. The study comprises all people with sickness benefit due to COVID-19 in Sweden in March 1-August 31, 2020. Data from the Swedish Social Insurance Agency, the Swedish National Board of Health and Welfare, and Statistics Sweden were merged. RESULTS: Within the follow-up period of 4 months, 11,955 people were subject to sickness benefit due to COVID-19, whereof 242 people (2.0%) took recurrent sick leave due to COVID-19, and of those 136 (56.2%) remained on sick leave at the end of follow-up. People with recurrent sick leave were older, more often women, and more likely to have been on sick leave prior to the COVID-19 pandemic. CONCLUSION: A group of people presented with recurrent sick leave due to COVID-19. For half of them, the second sick leave lasted throughout the follow-up. People with recurrent sick leave differ in several aspects from those with shorter sick leave. To capture long-term sick-leave patterns due to COVID-19, a longer period of follow-up is needed.

Patterns and predictors of sick leave after Covid-19 and long Covid in a national Swedish cohort.

BACKGROUND: The impact of Covid-19 and its long-term consequences is not yet fully understood. Sick leave can be seen as an indicator of health in a working age population, and the present study aimed to investigate sick-leave patterns after Covid-19, and potential factors predicting longer sick leave in hospitalised and non-hospitalised people with Covid-19. METHODS: The present study is a comprehensive national registry-based study in Sweden with a 4-month follow-up. All people who started to receive sickness benefits for Covid-19 during March 1 to August 31, 2020, were included. Predictors of sick leave ≥1 month and long Covid (≥12 weeks) were analysed with logistic regression in the total population and in separate models depending on inpatient care due to Covid-19. RESULTS: A total of 11,955 people started sick leave for Covid-19 within the inclusion period. The median sick leave was 35 days, 13.3% were on sick leave for long Covid, and 9.0% remained on sick leave for the whole follow-up period. There were 2960 people who received inpatient care due to Covid-19, which was the strongest predictor of longer sick leave. Sick leave the year prior to Covid-19 and older age also predicted longer sick leave. No clear pattern of socioeconomic factors was noted. CONCLUSIONS: A substantial number of people are on sick leave due to Covid-19. Sick leave may be protracted, and sick leave for long Covid is quite common. The severity of Covid-19 (needing inpatient care), prior sick leave, and age all seem to predict the likelihood of longer sick leave. However, no socioeconomic factor could clearly predict longer sick leave, indicating the complexity of this condition. The group needing long sick leave after Covid-19 seems to be heterogeneous, indicating a knowledge gap.

Health insurance utilisation after ischaemic stroke in Sweden: a retrospective cohort study in a system of universal healthcare and social insurance.

BACKGROUND: Stroke is one of the largest single-condition sources of the global burden of non-communicable disease in terms of disability-adjusted life-years and monetary costs, directly as well as indirectly in terms of informal care and productivity loss. The objective was to assess the population afflicted with ischaemic stroke in working age in the context of universal healthcare and social insurance; to estimate the levels of absence from work, the indirect costs related to that and to assess the associated patient characteristics. METHODS: This was a retrospective register-based study; all individuals registered with an ischaemic stroke during 2008-2011 in seven Swedish regions, covering the largest cities as well as more rural areas, were included. Individual-level data were used to compute net days of sick leave and disability pension, indirect costs due to productivity loss and to perform regression analysis on net absence from work to assess the associated factors. Costs related to productivity loss were estimated using the human capital approach. RESULTS: Women had significantly fewer net days of sick leave and disability pension than men after multivariable adjustment, and high-income groups had higher levels of sick leave than low-income groups. There were no significant differences for participants regarding educational level, region of birth or civil status. Indirect monetary costs amounted to €17 400 per stroke case during the first year, totalling approximately €169 million in Sweden. CONCLUSION: The individual's burden of stroke is heavy in terms of morbidity, and the related productivity loss for society is immense. Income-group differences point to a socioeconomic gradient in the utilisation of the Swedish social insurance.

Differences in self-perceived general health, pain, and depression 1 to 5 years post-stroke related to work status at 1 year.

Stroke is one of the most common diseases and has several potential consequences, such as psychological problems and pain. Return to work (RTW) after stroke in working-age individuals is incomplete. The present study aimed to investigate differences in self-perceived general health, pain, and depression between 1 and 5 years post-stroke related to RTW status. The study was nationwide, registry-based and the study population (n = 398) consisted of working-age people who had a stroke in 2011 and participated in 1-year and 5-year follow-up questionnaire surveys. Shift analyses with the Wilcoxon signed rank test and logistic regression were used. RTW within the first year post-stroke was associated with better self-perceived general health, less pain, and less depression both at 1 and 5 years post-stroke, compared with the no-RTW group. However, the RTW group had significant deterioration in general health and pain between 1 and 5 years, while the no-RTW group had no significant change. RTW was a significant predictor of lower odds of improvement in general health and pain between 1 and 5 years. This emphasizes the need for continued follow-up and support to ensure a balance between work and health for RTW individuals after stroke.

Different predictors after stroke depending on functional dependency at discharge: a 5-year follow up study.

BACKGROUND: Level of dependency after a stroke is important for long-term outcome in several aspects, but less is known about important predictors for outcome depending on functional dependency. The aim of the current study was to investigate self-perceived outcome and identify possible predictors of strength, participation, and emotional outcome 5 years after stroke based on functional dependency at discharge from hospital. METHODS: This observational cohort study included participants living in Gothenburg that were diagnosed with first ever stroke in 2009 and 2010. Baseline data were gathered from medical charts and the outcome was based on the Stroke Impact Scale (SIS) questionnaire mailed out 5 years post-stroke. Logistic regression identified potential predictors of better strength, participation, and emotional outcome. RESULTS: A total of 266 participants responded to the SIS. The functionally independent participants at hospital discharge reported significantly better scores in all SIS domains compared to the functionally dependent. For those who were functionally independent, only non-modifiable factors (age, sex, stroke type) were significant predictors of a better outcome. However, for the functionally dependent participants, modifiable factors such as feeling depressed, cardiovascular risk factors, and recurrent stroke were significant predictors of unfavourable outcome. CONCLUSIONS: Important factors for predicting a favourable outcome differed due to the level of functional dependency, and modifiable factors were only present in participants that were functionally dependent at discharge. Prevention, detection, and treatment of modifiable factors give an opportunity to reduce the burden of stroke for those who are most vulnerable.

Experienced pain after stroke: a cross-sectional 5-year follow-up study.

BACKGROUND: Stroke is one of the most common cause of disability worldwide. Pain is common in both stroke survivors and in the general population. Consequences of post-stroke pain (PSP) include reduced quality of life and are important to consider. The aim of the current study was to explore the experience of pain 5 years after stroke, and factors associated with the experience of pain. METHODS: Inclusion criteria were: First ever stroke, treated at Sahlgrenska University Hospital, Sweden, during an 18 months period in 2009-2010, aged 18 years or older. Furthermore, the participants had to respond to a set of questionnaires 5 years post-stroke. Baseline data were collected from medical records and follow-up data from the set of questionnaires. The primary outcome was based on the question Do you experience pain? Predictors and explanatory factors for experiencing more frequent pain were analysed with logistic regression. RESULTS: A total of 281 participants were included. Almost 40% experienced pain to some degree 5 years post-stroke (15% reported pain frequently), and 25% felt that their needs for pain treatment were not met. The participants experiencing more frequent pain reported poorer quality of life, self-perceived health status and recovery post-stroke. Functional dependency at discharge from hospital, experiencing depression at follow up and restricted mobility at follow up were all associated with more frequent pain. CONCLUSION: Pain is common 5 years post-stroke and the treatment is not perceived as optimal. The persons experiencing more frequent pain seem to rate their health and recovery worse than the persons experiencing less frequent pain. Most of the factors associated with more frequent pain were treatable and this emphasize the importance of standardised follow-up care that takes pain into consideration.

Return to work predicts perceived participation and autonomy by individuals with stroke.

Purpose: Participation in activities of everyday life is seen as main goal of rehabilitation after a stroke and return to work is an important factor to consider for the substantial number of persons having a stroke at working age. The current study aims to investigate whether returning to work would predict self-perceived participation and autonomy in everyday life after a stroke, from a long-term perspective.Materials and methods: Persons with first-ever stroke at age 18-63 years in 2009-2010, Gothenburg, were included. As 5-year follow-up, the Impact on Participation and Autonomy questionnaire was sent out, investigating self-perceived participation/autonomy in five levels, and work status was investigated from national sick-absence registers. Prediction of work on participation/autonomy was investigated with logistic regression.Results: A total of 109 participants (49%) responded to the questionnaire. The majority (69-94%) perceived very good participation/autonomy in all domains and 59% were working 5 years after stroke. Working was a significant predictor of high participation/autonomy in all domains of the questionnaire.Conclusions: Being able to return to work after a stroke seems to be important for self-perceived participation/autonomy. This emphasizes the importance of work-oriented information and rehabilitation after a stroke at working age.Implications for rehabilitationThe current study shows that the majority report high self-perceived participation and autonomy in everyday life and 59% are working 5 years after a stroke in working age.To work 5 years after a stroke was a significant predictor for self-perceived participation and autonomy in everyday life.Since stroke is becoming more common among working age persons and work seem important for perceived participation and autonomy, to optimize the return to work by for instance work-oriented information and vocational rehabilitation is important.

Return to work after stroke: A Swedish nationwide registry-based study.

OBJECTIVES: A substantial proportion of individuals with stroke are of working age. After stroke, it is important to return to work (RTW), both for the individual's satisfaction with life and economically for society. The current comprehensive, long-term study aimed at investigating in what time period the RTW continues after stroke and what factors could predict RTW. MATERIALS AND METHODS: All individuals registered in the registry Riksstroke with stroke in Sweden at ages 18-58 years during 2011 were eligible for participation. RTW was based on sickness absence data from the Social Insurance Agency covering 1 year prestroke to 5 years post-stroke. Time to RTW was analyzed with Kaplan-Meier curves. Potential predictors of RTW were analyzed with Cox regression and logistic regression. RESULTS: For RTW analyses, 1695 participants were included. Almost 50% RTW within 3 months, 70% within 1 year, and 80% within 2 years post-stroke. However, the RTW continued for several years, with a total of 85% RTW. Predictors of favorable time to RTW were male sex, ischemic stroke, and long university education compared with primary school education. Predictors of unfavorable times to RTW were higher stroke severity, defined by the level of consciousness, and older ages. Participants with self-expectations of RTW 1 year post-stroke had higher odds of RTW within 5 years. CONCLUSIONS: The RTW continues for a longer time after stroke than previously known. Both self-expectations and demographical, socioeconomic, stroke-related factors were important predictors of RTW. This knowledge could assist healthcare professionals to individualize the rehabilitation post-stroke.

Self-perceived impact of stroke: A longitudinal comparison between one and five years post-stroke.

OBJECTIVE: To investigate different aspects of self-perceived impact of stroke 1 and 5 years after stroke onset, with a focus on self-perceived participation. DESIGN: Longitudinal cohort study. PARTICIPANTS: Forty-five persons diagnosed with first-time stroke included in the Stroke Arm Longitudinal study at University of Gothenburg (SALGOT). METHODS: Participants responded to the Stroke Impact Scale, the Impact on Participation and Autonomy and the European Quality of Life 5 dimensions at 1 year and 5 years post-stroke. Wilcoxon signed-rank test was used to check for differences in changes over time between groups. RESULTS: In general, the perceived consequences of stroke were more severe after 5 years compared with at 1 year. Strength, emotion and participation were the areas most affected, along with restrictions in social life and autonomy indoors. Global disability (mRS) was moderately correlated with quality of life. CONCLUSION: The perceived impact of stroke becomes more prominent with time, even for persons with mild-to-moderate stroke. This study highlights the need for long-term support for persons with stroke.

Very early cognitive screening and return to work after stroke.

Background: Stroke is a common cause of long-term disability worldwide, and an increasing number of persons affected by stroke are of working age. In addition to physical impairments, a majority of patients reportedly suffer cognitive impairments after stroke. Reduced cognitive function may hinder poststroke return to work (RTW); however, most studies of this relationship have assessed cognitive function months after the stroke.Objectives: The current study aims to investigate the degree of post-stroke RTW, and whether very early cognitive function screening can predict RTW after a stroke.Methods: This study included 145 persons treated for stroke at 18-63 years of age at a large university hospital in Sweden between 2011 and 2016. Data were retrieved from the GOTVED database. Within 36-48 h after hospital admission, cognitive function was screened using the Montreal Cognitive Assessment (MoCA). Full and partial RTW were assessed based on the Swedish Social Insurance Agency's register. Logistic regression was performed to analyze the potential predictors of RTW at 6 months and 18 months.Results: Neither global cognitive function nor executive function at 36-48 h after stroke predicted any degree of RTW at 6 or 18 months. Male sex, lower stroke severity, and not being on sick leave prior to stroke were significant predictors of RTW.Conclusions: Screening for cognitive impairments at 36-48-h post stroke is apparently too early for predicting RTW, and thus cannot be the sole basis for discharge planning after stroke. Additional research is needed to further analyze cognitive function early after stroke and RTW.

Occupational gaps 5 years after stroke.

OBJECTIVES: To investigate the incidence and number of occupational gaps 5 years after stroke and find possible predictors and explanatory factors for increased number of experienced gaps. MATERIAL AND METHODS: The participants were diagnosed with first-time stroke in Gothenburg during 2009-2010. Medical records from their hospital stay were used to obtain baseline data. The Occupational Gaps Questionnaire and the Swedish stroke registers follow-up questionnaire were sent out. Data from the Occupational Gaps Questionnaire were used as a dependent variable and baseline data and questions from the stroke registry were used as independent variables in logistic regression. RESULTS: Five years poststroke, 49.5% experienced a higher number of occupational gaps compared to a healthy reference population. Predictors for an increased number of gaps were higher age at stroke onset and a higher degree of functional dependency. Explanatory factors for an increased number of gaps in the study population were higher age at follow-up and feelings of depression. CONCLUSIONS: Older age at the time of stroke and functional dependency can predict an increased number of occupational gaps. Older age and feelings of depression are connected to an increased number of occupational gaps. Individuals at risk should be provided with additional interventions to reduce participation restrictions.

Work-related predictors for return to work after stroke.

OBJECTIVES: Disability due to stroke imposes a large burden on individuals, and on society, in terms of impaired work ability and sick leave. The reported return to work (RTW) rate after stroke varies globally and is influenced by a range of different aspects. The aim of this study was to investigate the influence of work-related factors on time to RTW after stroke, and possible differences between the sexes. MATERIALS & METHODS: Data from 204 persons with first-time stroke in the years 2009-2010 in Gothenburg, Sweden, who were of working age and had worked prior to their stroke, were analysed. Disease-related characteristics were retrieved from medical records, and work-related- and socio-economic data were collected up to 6 years post-stroke from Statistics Sweden and the Swedish Social Insurance Agency. Cox regression was used to analyse predictors for time to RTW. RESULTS: We identified qualified occupation and large organizational size as work-related predictors for shorter time to RTW after stroke. Being male predicted a faster and higher frequency of RTW. Qualified occupation predicted shorter time to RTW in men but not in women. For women, the only predictor for RTW was physical dependency at discharge. CONCLUSION: Type of work and organizational size are work-related factors of importance for RTW after stroke. Work-related factors were important for RTW in men, but not in women. Reasons for differences between men and women in work-related factors that influence RTW need to be further investigated to better understand how to support women in the RTW process.

Working capacity after a subarachnoid haemorrhage: A six-year follow-up.

OBJECTIVE: Subarachnoid haemorrhage can lead to long-term disabilities. It is a major health issue for the patient and can affect work capacity. The aim of this study was to investigate working capacity after subarachnoid haemorrhage from a long-term perspective, using data from national sick leave records. In addition, factors associated with working capacity were analysed. DESIGN: A retrospective cohort study. SUBJECTS/PATIENTS: A consecutive total sample of 38 working-age participants with first-ever subarachnoid haemorrhage was included. Working capacity of the 30 participants not on early retirement prior to the subarachnoid haemorrhage was analysed. METHODS: Working capacity was defined as no longer being registered on sick leave or early retirement in the Social Insurance Agency and not being age retired or deceased. RESULTS: Regain of working capacity continued until 2.5 years post-subarachnoid haemorrhage and 73% of the participants were deemed to have working capacity. Functional independence at discharge from hospital, and higher responsiveness at admittance were the main factors associated with an earlier regain of working capacity. CONCLUSION: Nearly three-quarters of subjects were deemed to have working capacity within 2.5 years post-subarachnoid haemorrhage with a non-self-reported outcome. This information will help to individualize rehabilitation for affected persons.

Return to Work after a Stroke in Working Age Persons; A Six-Year Follow Up.

OBJECTIVES: Stroke is one of the most common and resource intensive diseases for society. Stroke in the working age population is increasing in different parts of the world. An incomplete return to work (RTW) after sick leave post stroke entails negative consequences for the affected person and an economical burden for society. The aim of this study was to explore the RTW rate and factors associated with RTW in a six-year follow up post stroke. METHODS: Data from 174 persons 63 years or younger, with first ever stroke in 2009-2010 in Gothenburg were analyzed. Baseline characteristics were collected through medical records and the Swedish Health Insurance Office provided information on sick leave up to 6 years post stroke. Time-to-event was presented and cox regression as well as logistic regression were used to analyze risk factors for no-RTW. RESULTS: The RTW rate was 74.7%, at the end of follow up. Participants continued to RTW until just over 3 years post stroke. Dependency at discharge (in the modified Rankin Scale) and sick leave prior to the stroke were significant risk factors for no-RTW after 1 year with odds ratio 4.595 and 3.585, respectively. The same factors were significant in time-to-event within six years post stroke with hazard ratio 2.651 and 1.929, respectively. CONCLUSIONS: RTW after a stroke is incomplete, however RTW is possible over a longer period of time than previously thought. More severe disability at discharge from hospital and sick leave prior to the stroke were shown to be risk factors for no-RTW. This knowledge can contribute to more individualized vocational rehabilitation.