| 1. |
- Abelin, Åsa, 1953, et al.
(författare)
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What affects recognition most – wrong word stress or wrong word accent?
- 2015
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Ingår i: Proceedings of Fonetik 2015, Working papers in General Linguistics and Phonetics, Lund. - 0280-526X. ; 55, s. 7-10
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Konferensbidrag (refereegranskat)abstract
- In an attempt to find out which of the two Swedish prosodic contrasts of 1) word stress pattern and 2) tonal word accent category has the greatest communicative weight, a lexical decision experiment was conducted: in one part word stress pattern was changed from trochaic to iambic, and in the other part trochaic accent II words were changed to accent I. Native Swedish listeners were asked to decide whether the distorted words were real words or ‘non-words’. A clear tendency is that listeners preferred to give more ‘non-word’ responses when the stress pattern was shifted, compared to when word accent category was shifted. This could have implications for priority of phonological features when teaching Swedish as a second language.
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| 2. |
- Abzhandadze, Tamar, 1980, et al.
(författare)
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Sick leave one year after COVID-19 infection: a nationwide cohort study during the first wave in Sweden.
- 2024
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Ingår i: Scientific reports. - 2045-2322. ; 14:1
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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| 3. |
- Abzhandadze, Tamar, 1980, et al.
(författare)
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Transforming self-reported outcomes from a stroke register to the modified Rankin Scale: a cross-sectional, explorative study
- 2020
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Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 10:1
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Tidskriftsartikel (refereegranskat)abstract
- The aim was to create an algorithm to transform self-reported outcomes from a stroke register to the modified Rankin Scale (mRS). Two stroke registers were used: the Vaststroke, a local register in Gothenburg, Sweden, and the Riksstroke, a Swedish national register. The reference variable, mRS (from Vaststroke), was mapped with seven self-reported questions from Riksstroke. The transformation algorithm was created as a result of manual mapping performed by healthcare professionals. A supervised machine learning method-decision tree-was used to further evaluate the transformation algorithm. Of 1145 patients, 54% were male, the mean age was 71 y. The mRS grades 0, 1 and 2 could not be distinguished as a result of manual mapping or by using the decision tree analysis. Thus, these grades were merged. With manual mapping, 78% of the patients were correctly classified, and the level of agreement was almost perfect, weighted Kappa (K-w) was 0.81. With the decision tree, 80% of the patients were correctly classified, and substantial agreement was achieved, K-w=0.67. The self-reported outcomes from a stroke register can be transformed to the mRS. A mRS algorithm based on manual mapping might be useful for researchers using self-reported questionnaire data.
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| 4. |
- af Winklerfelt Hammarberg, Sandra, et al.
(författare)
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Clinical effectiveness of care managers in collaborative primary health care for patients with depression : 12-and 24-month follow-up of a pragmatic cluster randomized controlled trial
- 2022
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Ingår i: BMC Primary Care. - : Springer Nature. - 2731-4553. ; 23:1
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Tidskriftsartikel (refereegranskat)abstract
- Background In previous studies, we investigated the effects of a care manager intervention for patients with depression treated in primary health care. At 6 months, care management improved depressive symptoms, remission, return to work, and adherence to anti-depressive medication more than care as usual. The aim of this study was to compare the long-term effectiveness of care management and usual care for primary care patients with depression on depressive symptoms, remission, quality of life, self-efficacy, confidence in care, and quality of care 12 and 24 months after the start of the intervention. Methods Cluster randomized controlled trial that included 23 primary care centers (11 intervention, 12 control) in the regions of Vastra Gotaland and Dalarna, Sweden. Patients >= 18 years with newly diagnosed mild to moderate depression (n = 376: 192 intervention, 184 control) were included. Patients at intervention centers co-developed a structured depression care plan with a care manager. Via 6 to 8 telephone contacts over 12 weeks, the care manager followed up symptoms and treatment, encouraged behavioral activation, provided education, and communicated with the patient's general practitioner as needed. Patients at control centers received usual care. Adjusted mixed model repeated measure analysis was conducted on data gathered at 12 and 24 months on depressive symptoms and remission (MADRS-S); quality of life (EQ5D); and self-efficacy, confidence in care, and quality of care (study-specific questionnaire). Results The intervention group had less severe depressive symptoms than the control group at 12 (P = 0.02) but not 24 months (P = 0.83). They reported higher quality of life at 12 (P = 0.01) but not 24 months (P = 0.88). Differences in remission and self-efficacy were not significant, but patients in the intervention group were more confident that they could get information (53% vs 38%; P = 0.02) and professional emotional support (51% vs 40%; P = 0.05) from the primary care center. Conclusions Patients with depression who had a care manager maintained their 6-month improvements in symptoms at the 12- and 24-month follow-ups. Without a care manager, recovery could take up to 24 months. Patients with care managers also had significantly more confidence in primary care and belief in future support than controls.
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| 5. |
- Aghanavesi, Somayeh, 1981-, et al.
(författare)
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A multiple motion sensors index for motor state quantification in Parkinson's disease
- 2020
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Ingår i: Computer Methods and Programs in Biomedicine. - : Elsevier BV. - 0169-2607 .- 1872-7565. ; 189
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Tidskriftsartikel (refereegranskat)abstract
- Aim: To construct a Treatment Response Index from Multiple Sensors (TRIMS) for quantification of motor state in patients with Parkinson's disease (PD) during a single levodopa dose. Another aim was to compare TRIMS to sensor indexes derived from individual motor tasks. Method: Nineteen PD patients performed three motor tests including leg agility, pronation-supination movement of hands, and walking in a clinic while wearing inertial measurement unit sensors on their wrists and ankles. They performed the tests repeatedly before and after taking 150% of their individual oral levodopa-carbidopa equivalent morning dose.Three neurologists blinded to treatment status, viewed patients’ videos and rated their motor symptoms, dyskinesia, overall motor state based on selected items of Unified PD Rating Scale (UPDRS) part III, Dyskinesia scale, and Treatment Response Scale (TRS). To build TRIMS, out of initially 178 extracted features from upper- and lower-limbs data, 39 features were selected by stepwise regression method and were used as input to support vector machines to be mapped to mean reference TRS scores using 10-fold cross-validation method. Test-retest reliability, responsiveness to medication, and correlation to TRS as well as other UPDRS items were evaluated for TRIMS. Results: The correlation of TRIMS with TRS was 0.93. TRIMS had good test-retest reliability (ICC = 0.83). Responsiveness of the TRIMS to medication was good compared to TRS indicating its power in capturing the treatment effects. TRIMS was highly correlated to dyskinesia (R = 0.85), bradykinesia (R = 0.84) and gait (R = 0.79) UPDRS items. Correlation of sensor index from the upper-limb to TRS was 0.89. Conclusion: Using the fusion of upper- and lower-limbs sensor data to construct TRIMS provided accurate PD motor states estimation and responsive to treatment. In addition, quantification of upper-limb sensor data during walking test provided strong results. © 2019
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| 6. |
- Aghanavesi, Somayeh, 1981-, et al.
(författare)
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A smartphone-based system to quantify dexterity in Parkinson's disease patients
- 2017
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Ingår i: Informatics in Medicine Unlocked. - : Elsevier BV. - 2352-9148. ; 9, s. 11-17
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Tidskriftsartikel (refereegranskat)abstract
- Objectives The aim of this paper is to investigate whether a smartphone-based system can be used to quantify dexterity in Parkinson's disease (PD). More specifically, the aim was to develop data-driven methods to quantify and characterize dexterity in PD. Methods Nineteen advanced PD patients and 22 healthy controls participated in a clinical trial in Uppsala, Sweden. The subjects were asked to perform tapping and spiral drawing tests using a smartphone. Patients performed the tests before, and at pre-specified time points after they received 150% of their usual levodopa morning dose. Patients were video recorded and their motor symptoms were assessed by three movement disorder specialists using three Unified PD Rating Scale (UPDRS) motor items from part III, the dyskinesia scoring and the treatment response scale (TRS). The raw tapping and spiral data were processed and analyzed with time series analysis techniques to extract 37 spatiotemporal features. For each of the five scales, separate machine learning models were built and tested by using principal components of the features as predictors and mean ratings of the three specialists as target variables. Results There were weak to moderate correlations between smartphone-based scores and mean ratings of UPDRS item #23 (0.52; finger tapping), UPDRS #25 (0.47; rapid alternating movements of hands), UPDRS #31 (0.57; body bradykinesia and hypokinesia), sum of the three UPDRS items (0.46), dyskinesia (0.64), and TRS (0.59). When assessing the test-retest reliability of the scores it was found that, in general, the clinical scores had better test-retest reliability than the smartphone-based scores. Only the smartphone-based predicted scores on the TRS and dyskinesia scales had good repeatability with intra-class correlation coefficients of 0.51 and 0.84, respectively. Clinician-based scores had higher effect sizes than smartphone-based scores indicating a better responsiveness in detecting changes in relation to treatment interventions. However, the first principal component of the 37 features was able to capture changes throughout the levodopa cycle and had trends similar to the clinical TRS and dyskinesia scales. Smartphone-based scores differed significantly between patients and healthy controls. Conclusions Quantifying PD motor symptoms via instrumented, dexterity tests employed in a smartphone is feasible and data from such tests can also be used for measuring treatment-related changes in patients. © 2017
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| 7. |
- Ahmed, Caisha Arah, et al.
(författare)
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Defibulated immigrant women's sexual and reproductive health from the perspective of midwives and gynaecologists as primary care providers in Sweden-A phenomenographic study
- 2021
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Ingår i: Sexual & Reproductive Healthcare. - : Elsevier BV. - 1877-5756 .- 1877-5764. ; 29, s. 100644-
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To capture care providers' perceptions of defibulated immigrant women's sexual and reproductive health, illuminated by their experiences as care providers for these women. Methods: Individual interview study with 13 care providers at Swedish healthcare facilities: six gynaecologists and seven midwives caring for defibulated immigrant women, analysed with a phenomenographic method. Findings: One of the care providers' perceptions of women who had been defibulated was that they had an altered genital function, meaning a wider introitus, improved vaginal intercourse, and more ease urinating and menstruating. The care providers also perceived that women who were defibulated had to balance their wellbeing, struggling between a positive self-image and handling their emotions. Existing in-between cultural values led to a fear of being excluded while at the same time having a desire to be included in the new culture. Conclusion: Defibulation affects women's sexual and reproductive health and calls for a holistic perspective when providing services, individualized according to the woman's care needs. Support and counselling, should include information about defibulation already during the adolescent years to promote sexual and reproductive health and well-being.
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| 8. |
- Al-Dury, Nooraldeen, 1986, et al.
(författare)
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Characteristics and outcome among 14,933 adult cases of in-hospital cardiac arrest : A nationwide study with the emphasis on gender and age.
- 2017
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Ingår i: American Journal of Emergency Medicine. - : Elsevier. - 0735-6757 .- 1532-8171. ; 35:12, s. 1839-1844
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Tidskriftsartikel (refereegranskat)abstract
- AIM: To investigate characteristics and outcome among patients suffering in-hospital cardiac arrest (IHCA) with the emphasis on gender and age.METHODS: Using the Swedish Register of Cardiopulmonary Resuscitation, we analyzed associations between gender, age and co-morbidities, etiology, management, 30-day survival and cerebral function among survivors in 14,933 cases of IHCA. Age was divided into three ordered categories: young (18-49years), middle-aged (50-64years) and older (65years and above). Comparisons between men and women were age adjusted.RESULTS: The mean age was 72.7years and women were significantly older than men. Renal dysfunction was the most prevalent co-morbidity. Myocardial infarction/ischemia was the most common condition preceding IHCA, with men having 27% higher odds of having MI as the underlying etiology. A shockable rhythm was found in 31.8% of patients, with men having 52% higher odds of being found in VT/VF. After adjusting for various confounders, it was found that men had a 10% lower chance than women of surviving to 30days. Older individuals were managed less aggressively than younger patients. Increasing age was associated with lower 30-day survival but not with poorer cerebral function among survivors.CONCLUSION: When adjusting for various confounders, it was found that men had a 10% lower chance than women of surviving to 30days after in-hospital cardiac arrest. Older individuals were managed less aggressively than younger patients, despite a lower chance of survival. Higher age was, however, not associated with poorer cerebral function among survivors.
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| 9. |
- Al-Dury, Nooraldeen, 1986, et al.
(författare)
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Identifying the relative importance of predictors of survival in out of hospital cardiac arrest : a machine learning study
- 2020
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Ingår i: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine. - : BioMed Central. - 1757-7241. ; 28:1, s. 1-8
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: Studies examining the factors linked to survival after out of hospital cardiac arrest (OHCA) have either aimed to describe the characteristics and outcomes of OHCA in different parts of the world, or focused on certain factors and whether they were associated with survival. Unfortunately, this approach does not measure how strong each factor is in predicting survival after OHCA. Aim: To investigate the relative importance of 16 well-recognized factors in OHCA at the time point of ambulance arrival, and before any interventions or medications were given, by using a machine learning approach that implies building models directly from the data, and arranging those factors in order of importance in predicting survival. Methods: Using a data-driven approach with a machine learning algorithm, we studied the relative importance of 16 factors assessed during the pre-hospital phase of OHCA We examined 45,000 cases of OHCA between 2008 and 2016. Results: Overall, the top five factors to predict survival in order of importance were: initial rhythm, age, early Cardiopulmonary Resuscitation (CPR, time to CPR and CPR before arrival of EMS), time from EMS dispatch until EMS arrival, and place of cardiac arrest The largest difference in importance was noted between initial rhythm and the remaining predictors. A number of factors, including time of arrest and sex were of little importance. Conclusion: Using machine learning, we confirm that the most important predictor of survival in OHCA is initial rhythm, followed by age, time to start of CPR, EMS response time and place of OHCA. Several factors traditionally viewed as important e.g. sex, were of little importance.
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| 10. |
- Alatalo, Tarja, 1961-, et al.
(författare)
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Teachers' academic achievement: evidence from Swedish longitudinal register data
- 2024
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Ingår i: European Journal of Teacher Education. - : Informa UK Limited. - 0261-9768 .- 1469-5928. ; 47:1, s. 60-80
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Tidskriftsartikel (refereegranskat)abstract
- The difficulty recruiting competent teachers is widespread, and the status of the teaching profession is on the decline. Sweden is just one country with these problems. Using longitudinal register data for every teacher in Sweden born between 1972 and 1998, the present study investigates changes in teachers' own school grades to clarify patterns of recruitment to the teaching profession. The main methods were regression analysis and descriptive statistics. Results showed a significant decline in teachers' grade average between 1996 and 2016, with certified teachers having a higher grade average than uncertified teachers throughout this period. Grades of primary school teachers were lower compared with those of secondary school teachers. Higher grade average for secondary school teachers of natural science subjects compared with teachers of other subjects was also observed. The decline in teachers' grades is a factor characterising changed recruitment patterns and one likely to affect teacher quality.
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