Managers' experience of causes and prevention of sick leave among young employees with Common Mental Disorders (CMDs)-A qualitative interview study with a gender perspective.

BACKGROUND: Young adults entering the workforce have an almost 40% greater risk of work-related mental health problems than other working age groups. Common mental disorders (CMDs) constitute the majority of such mental health problems. Managers are crucial in promoting a good psychosocial work environment and preventing sick leave. The study aims to explore managers' experience of 1) causes of sick leave in the personal and work-life of young employees with CMDs, and 2) prevention of such sick leave. A gender perspective is applied to examine managers' experience of causes and prevention of sick leave in relation to male and female employees and male and female-dominated occupations. MATERIAL AND METHODS: A qualitative design was applied and 23 semi-structured interviews were conducted with Swedish managers experienced in supervising young employees with CMDs. The interviews were analysed with conventional content analysis and the managers' experience of similarities and differences between young female and male employees and occupations were explored through reflective notes. RESULTS: Four main categories and eight subcategories describe the managers' experience of the causes of sick leave due to CMD among young employees. The main categories are: 1) entering work life when already worn-out, 2) struggling with too high expectations at work, 3) having a challenging personal life, and 4) being unable to manage specific occupational challenges and demands. Gender differences were found in six subcategories regarding, e.g., work demands and problems in personal relationships. One main category and three subcategories describe how this type of sick leave might be prevented, with managers emphasizing the need to ease the transition into work life. Gender differences in the prevention of sick leave were found in one subcategory regarding communication about workers' health and problems at work. CONCLUSION: Our findings show that gender norms and the expectations of young men and women are factors of importance in managers' experience of the development and prevention of CMDs. These results can inform their preventive work and their supervision and introduction of newly-employed young adults.

A gender perspective on perceived causes of sick leave due to common mental disorders among young Swedish employees: A qualitative interview study.

OBJECTIVE: Common mental disorder (CMD) is the most common reason for sick leave among young employees in Sweden, with young women having a higher prevalence. There is a lack of studies focusing on young employees' own perceptions of sick leave. The aim was twofold: to investigate 1) perceived causes of sick leave due to CMD among young employees, and 2) differences and similarities among women and men. METHODS: Using a qualitative design with an applied gender perspective enabled us to capture young employees' gendered experiences and consider cultural and social aspects of their situations. We interviewed 13 women and 12 men (aged 20-29) with experience of being on sick leave and applied a conventional inductive content analysis. RESULTS: Six categories were identified: a) Being new to the labour market and the workplace; b) Want to prove themselves; c) To be exposed to poor working conditions; d) Relations at work; e) Being vulnerable; and f) Additional private life burdens. CONCLUSION: This study adds to the understanding of young employees' perceived causes of sick leave due to CMD, by letting them share their experiences of events prior to sick leave connected to work and private life. Similarities and differences in women's and men's experiences were revealed. Overall, both young men and women describe a more pressured work situation for young women compared to their male counterparts, that young women take more social responsibility in private life and at work whereas men on the other hand find it harder to disclose mental health problems.

Hindering and enabling factors for young employees with common mental disorder to remain at or return to work affected by the Covid-19 pandemic - a qualitative interview study with young employees and managers.

BACKGROUND: During the COVID-19 pandemic, changes in working life occurred, even in Sweden, where there was no general lockdown. The aim of this study was to examine how the COVID-19 pandemic was perceived as affecting the hindering and enabling factors among young employees with CMD to remain at or return to work, here as investigated from the perspective of young employees and managers. MATERIAL AND METHODS: A qualitative design was applied with semistructured interviews with 23 managers and 25 young employees (20-29 years old). The interviews were recorded and transcribed verbatim, and the parts of the interviews related to the aim of this article were analysed using conventional content analysis. RESULTS: The hindering factors were changed working conditions, decreased well-being when spending more time at home, and uncertainty. The enabling factors were decreased demands, increased balance, and well-functioning work processes. For managers it is important to be aware of warning signals indicating blurred boundaries between work and private life, to create and maintain well-functioning communication, and leave room for recovery. CONCLUSION: The hindering and enabling factors can be described as two sides of the same coin. Changes in the working conditions during the pandemic led to difficulties for both young employees and managers when the margins of maneuver were insufficient.

Automated data extraction tool (DET) for external applications in radiotherapy.

Oncological Information Systems (OIS) manage information in radiotherapy (RT) departments. Due to database structure limitations, stored information can rarely be directly used except for vendor-specific purposes. Our aim is to enable the use of such data in various external applications by creating a tool for automatic data extraction, cleaning and formatting. METHODS AND MATERIALS: We used OIS data from a nine-linac RT department in Sweden (70 weeks, 2015-16). Extracted data included patients' referrals and appointments with details for RT sub-tasks. The data extraction tool to prepare the data for external use was built in C# programming language. It used excel-automation queries to remove unassigned/duplicated values, substitute missing data and perform application-specific calculations. Descriptive statistics were used to verify the output with the manually prepared dataset from the corresponding time period. RESULTS: From the initial raw data, 2030 (51 %)/907 (23 %) patients had known curative and palliative treatment intent for 84 different cancer diagnoses. After removal of incomplete entries, 373 (10 %) patients had unknown treatment intents which were substituted based on the known curative/palliative ratio. Automatically- and manuallyprepared datasets differed < 1 % for Mould, Treatment planning, Quality assurance and ± 5 % for Fractions and Magnetic resonance imaging with overestimations in 80/140 (57 %) entries by the tool. CONCLUSION: We successfully implemented a software tool to prepare ready-to-use OIS datasets for external applications. Our evaluations showed overall results close to the manually-prepared dataset. The time taken to prepare the dataset using our automated strategy can reduce the time for manual preparation from weeks to seconds.

Factors affecting nurses' decision to undergo a specialist education and to choose a specialty.

AIMS: The aims of the study were to identify factors affecting nurses' decision to undergo specialist education and choose a specialty and to describe differences between specialization areas with different types of care. DESIGN: A descriptive cross-sectional design. METHODS: A survey was conducted among specialist nurse students in three nursing colleges in Sweden (n = 227). Instruments such as Big Five Inventory and RAND-36 and items earlier used by Bexelius and Olsson were included. Survey data were analysed by using descriptive and analytical statistics, and for open-ended question qualitative content analysis was used. RESULTS: Wage benefit during the education was regarded by 47% as an incentive to start studies. Most of the specialist nurse students considered an opportunity for new tasks (75%), new areas of responsibility (75%), intellectual challenges (72%) and higher wages (71%) to be of high importance when choosing a specialty. However, the students in specialization areas with transitory care-rated challenges regarding the practical skills (84%) and the occurrence of acute events (82%) higher. CONCLUSION: Although higher wages were important to make nurses feel that they will get value from the education, there were also other important aspects, such as opportunity for new tasks, new areas of responsibility and intellectual challenges that influenced nurses' willingness to undergo a specialist education. Our findings provide employers with the useful information to guide and influence nurses' decisions to enter specialist education and their choice of specialist area.

Diabetic retinopathy as a predictor for peripheral compression neuropathies, a registry-based study.

Diabetes is characterized by hyperglycaemia and entails many complications, including retinopathy and entrapment neuropathies, such as ulnar nerve entrapment (UNE) and carpal tunnel syndrome (CTS). Hyperglycaemia damages the nerves of the retina, as well as peripheral nerves. There is a correlation between entrapment neuropathies and retinopathy in patients with diabetes, but whether patients with diabetic retinopathy are more prone to develop CTS and UNE is uncertain. Hence, the aim was to investigate if retinopathy can be used as a factor predicting the development of CTS and UNE. Data from 95,437 individuals from the National Diabetes Registry were merged with data from the Skåne Healthcare Registry. The population was analysed regarding prevalence of CTS or UNE and retinopathy status. Population characteristics were analysed using the Chi2-test, Student's Independent T-test, and the Mann-Whitney U-test. Two logistic regression models were used to analyse the odds ratio (OR) for development of CTS and UNE depending on retinopathy status, adjusted for possible confounders. Both CTS and UNE were more frequent among those with retinopathy, compared to those without (CTS: 697/10,678 (6.5%) vs. 2756/83,151 (3.3%; p<0.001), (UNE: 131/10,678 (1.2%) vs. 579/83,151 (0.7%; p<0.001)). The OR for developing CTS for individuals with type 1 diabetes and retinopathy was 2.40 (95% CI 2.06-2.81; p<0.001) and of developing UNE was 1.53 (0.96-2.43; p = 0.08). The OR for developing CTS for individuals with type 2 diabetes and retinopathy was 0.93 (0.81-1.08; p = 0.34) and for UNE 1.02 (0.74-1.40; p = 0.90). Diabetic retinopathy is associated with a higher risk of developing CTS and UNE, but the association seems to be mediated by the duration of the diabetes. Higher HbA1c levels, longer diabetes duration and higher BMI are significant risk factors for developing CTS and UNE in type 1 and type 2 diabetes.

Fatigue in Patients With Head and Neck Cancer Treated With Radiation Therapy: A Prospective Study of Patient-Reported Outcomes and Their Association With Radiation Dose to the Cerebellum.

Purpose: Although fatigue is a known side effect in patients with head and neck cancer (HNC) receiving radiation therapy, knowledge regarding long-term fatigue and dose-response relationships to organs at risk is scarce. The aim of this prospective study was to analyze patient-reported fatigue in patients with HNC receiving radiation therapy and to explore any possible association with organ-at-risk doses. Methods and Materials: Patients with HNC referred for curative radiation therapy were eligible for inclusion in the study. To assess patient-reported fatigue, quality of life questionnaires (European Organization for Research and Treatment of Cancer QLQ-C30 and QLQ-FA12) were distributed before treatment and 1, 3, 6, 12, 24, and 60 months after the start of treatment. Mean dose (Dmean) and near maximum dose (D2%) of the cerebellum and brain stem were evaluated in relation to baseline-adjusted fatigue scores at 3 months. Results: One hundred twenty-six patients treated with intensity modulated radiation therapy between 2008 and 2010 were available for final analysis. Female sex and age <60 years were associated with higher fatigue at baseline, whereas patients also treated with chemotherapy had reduced physical and emotional fatigue at 6 months. Physical fatigue (QLQ-FA12 scale) increased from baseline up to 3 months (29 vs 59; P < .0001) but showed no difference compared with baseline from 1 to 5 years. Emotional fatigue was significantly lower at 5 years compared with baseline (14 vs 28; P < .0001). Patients with cerebellum Dmean > 3.5 Gy had higher mean physical fatigue scores at 3 months (38 vs 27; P = .036). Conclusions: Although there is a significant increase in fatigue scores for patients with HNC up to 1 year after radiation therapy, this study showed a return to baseline levels at 5 years. A possible association was found between physical fatigue and a higher mean dose to the cerebellum.

Autosegmentation based on different-sized training datasets of consistently-curated volumes and impact on rectal contours in prostate cancer radiation therapy.

Background and purpose: Autosegmentation techniques are emerging as time-saving means for radiation therapy (RT) contouring, but the understanding of their performance on different datasets is limited. The aim of this study was to determine agreement between rectal volumes by an existing autosegmentation algorithm and manually-delineated rectal volumes in prostate cancer RT. We also investigated contour quality by different-sized training datasets and consistently-curated volumes for retrained versions of this same algorithm. Materials and methods: Single-institutional data from 624 prostate cancer patients treated to 50-70 Gy were used. Manually-delineated clinical rectal volumes (clinical) and consistently-curated volumes recontoured to one anatomical guideline (reference) were compared to autocontoured volumes by a commercial autosegmentation tool based on deep-learning (v1; n = 891, multiple-institutional data) and retrained versions using subsets of the curated volumes (v32/64/128/256; n = 32/64/128/256). Evaluations included dose-volume histogram metrics, Dice similarity coefficients, and Hausdorff distances; differences between groups were quantified using parametric or non-parametric hypothesis testing. Results: Volumes by v1-256 (76-78 cm3) were larger than reference (75 cm3) and clinical (76 cm3). Mean doses by v1-256 (24.2-25.2 Gy) were closer to reference (24.2 Gy) than to clinical (23.8 Gy). Maximum doses were similar for all volumes (65.7-66.0 Gy). Dice for v1-256 and reference (0.87-0.89) were higher than for v1-256 and clinical (0.86-0.87) with corresponding Hausdorff comparisons including reference smaller than comparisons including clinical (5-6 mm vs. 7-8 mm). Conclusion: Using small single-institutional RT datasets with consistently-defined rectal volumes when training autosegmentation algorithms created contours of similar quality as the same algorithm trained on large multi-institutional datasets.

Insights Gained From a Re-analysis of Five Improvement Cases in Healthcare Integrating System Dynamics Into Action Research.

BACKGROUND: Healthcare is complex with multi-professional staff and a variety of patient care pathways. Time pressure and minimal margins for errors, as well as tension between hierarchical power and the power of the professions, make it challenging to implement new policies or procedures. This paper explores five improvement cases in healthcare integrating system dynamics (SD) into action research (AR), aiming to identify methodological aspects of how this integration supported multi-professional groups to discover workable solutions to work-related challenges. METHODS: This re-analysis was conducted by a multi-disciplinary research group using an iterative abductive approach applying qualitative analysis to structure and understand the empirical material. Frameworks for consultancy assignments/client projects were used to identify case project stages (workflow steps) and socio-analytical questions were used to bridge between the AR and SD perspectives. RESULTS: All studied cases began with an extensive AR-inspired inventory of problems/objectives and ended with an SD-facilitated experimental phase where mutually agreed solutions were tested in silico. Time was primarily divided between facilitated group discussions during meetings and modelling work between meetings. Work principles ensured that the voice of each participant was heard, inspired engagement, interaction, and exploratory mutual learning activities. There was an overall pattern of two major divergent and convergent phases, as each group moved towards a mutually developed point of reference for their problem/objective and solution, a case-specific multi-professional knowledge repository. CONCLUSION: By integrating SD into AR, more favourable outcomes for the client organization may be achieved than when applying either approach in isolation. We found that SD provided a platform that facilitated experiential learning in the AR process. The identified results were calibrated to local needs and circumstances, and compared to traditional top-down implementation for change processes, improved the likelihood of sustained actualisation.

Linear accelerator utilization: Concept and tool to aid the scheduling of patients for radiotherapy.

BACKGROUND AND PURPOSE: Resources in radiotherapy (RT) need to be used effectively to meet the current clinical demand. The aim of this data-driven study is to identify temporal trends in the scheduling of patients for RT and to develop a tool for a visual overview of future scheduling levels. MATERIAL AND METHODS: Scheduling data at an eight-linac modern RT department in Sweden were collected twice daily for planned and observed linac use in 2018-2020. Information was retrieved each day for the present (Day 0) and the forthcoming 100 weekdays with total linac utilization rates (LURs) calculated for two activity categories: treatment and non-treatment. An in-house tool based on the LUR concept, database queries from the oncology information system (OIS)/automatic calculations was developed and evaluated by RT managers and scheduling staff (n = 10). RESULTS: Overall median LURs were 87%/89% (planned/observed; p < 0.01) with more frequent and larger daily increase for non-treatment activities compared with treatment activities. LUR increased with shorter planning horizons and reached 100% for fully-operating linacs ≈3 weeks before Day 0. The tool was reported by 88% to ease the work and to contribute towards an even scheduling of patients (responses: 8/10). CONCLUSION: Alterations from a planned RT schedule occurs frequently. Having a tool that helps to reduce the abundance of booking information into clinically relevant overviews promise to increase the understanding of present and future scheduling levels. Our proposed concept and tool suggest that this is a feasible approach to schedule patients for RT more evenly.

Resource planning principles for the radiotherapy process using simulations applied to a longer vacation period use case.

PURPOSE: Radiotherapy (RT) resources need to be used wisely to balance workload and patient throughput. There are no known strategies on how to plan resource use around longer vacation periods to avoid patient waiting times. We created a simulation model over the RT workflow to evaluate different scenarios for this purpose. MATERIALS AND METHODS: The simulation model mimics a large modern RT department in Sweden. It was based on real data on patient referral patterns and resource use extracted from clinical systems (3666 treatment courses). Workshops with managers and staff were held to investigate nine different scenarios for the summer vacation period including one scenario to validate the model. Different capacity reductions, vacation period lengths and timing of the vacation periods between the preparatory part of the RT workflow and the treatment part were evaluated. RESULTS: For an eight-week period, resource utilization was predicted to be high both before and after the vacation period regardless of timing. However, more patients would be waiting with completed preparations with simultaneous vacation periods than when the preparatory part started one-two weeks prior to the treatment part. With shorter vacation periods, treatment would require overtime during the vacation period with higher levels of patients waiting compared to an eight-week scenario. CONCLUSIONS: Our proposed strategy aided managers to identify a preferred scenario for the summer vacation period with the preparatory part starting one-two weeks prior to the treatment part for an eight-week vacation period. This can help other RT departments to plan for similar situations.

An analytical approach to aggregate patient inflows to a simulation model over the radiotherapy process.

BACKGROUND: In meeting input data requirements for a system dynamics (SD) model simulating the radiotherapy (RT) process, the number of patient care pathways (RT workflows) needs to be kept low to simplify the model without affecting the overall performance. A large RT department can have more than 100 workflows, which results in a complex model structure if each is to be handled separately. Here we investigated effects on model performance by reducing the number of workflows for a model of the preparatory steps of the RT process. METHODS: We created a SD model sub-structure capturing the preparatory RT process. Real data for patients treated in 2015-2016 at a modern RT department in Sweden were used. RT workflow similarity was quantified by averaged pairwise utilization rate differences (%) and the size of corresponding correlation coefficients (r). Grouping of RT workflows was determined using two accepted strategies (80/20 Pareto rule; merging all data into one group) and a customized algorithm with r≥0.75:0.05:0.95 as criteria for group inclusion by two strategies (A1 and A2). Number of waiting patients for each grouping strategy were compared to the reference of all workflows handled separately. RESULTS: There were 128 RT workflows for 3209 patients during the studied period. The 80/20 Pareto rule resulted in 14/8/21 groups for curative/palliative/disregarding treatment intent. Correspondingly, A1 and A2 resulted in 7-40/≤4-36/7-82 groups depending on r cutoff. Results for the Pareto rule and A2 at r≥85 were comparable to the reference. CONCLUSIONS: The performance of a simulation model over the RT process will depend on the grouping strategy of patient input data. Either the Pareto rule or the grouping of patients by resource use can be expected to better reflect overall departmental effects to various changes than when merging all data into one group. Our proposed approach to identify groups based on similarity in resource use can potentially be used in any setting with variable incoming flows of objects which go through a multi-step process comparable to RT where the aim is to reduce the complexity of associated model structures without compromising with overall performance.

AI-aided detection of malignant lesions in mammography screening - evaluation of a program in clinical practice.

OBJECTIVES: Evaluation of the degree of concordance between an artificial intelligence (AI) program and radiologists in assessing malignant lesions in screening mammograms. METHODS: The study population consisted of all consecutive cases of screening-detected histopathologically confirmed breast cancer in females who had undergone mammography at the NU Hospital Group (Region Västra Götaland, Sweden) in 2018 to 2019. Data were retrospectively collected from the AI program (lesion risk score in percent and overall malignancy risk score ranging from 1 to 10) and from medical records (independent assessments by two radiologists). Ethical approval was obtained. RESULTS: Altogether, 120 females with screening-detected histopathologically confirmed breast cancer were included in this study. The AI program assigned the highest overall malignancy risk score 10 to 86% of the mammograms. Five cases (4%) were assigned an overall malignancy risk score ≤5. Lack of consensus between the two radiologists involved in the initial assessment was associated with lower overall malignancy risk scores (p = 0,002). CONCLUSION: The AI program detected a majority of the cancerous lesions in the mammograms. The investigated version of the program has, however, limited use as an aid for radiologists, due to the pre-calibrated risk distribution and its tendency to miss the same lesions as the radiologists. A potential future use for the program, aimed at reducing radiologists' workload, might be to preselect and exclude low-risk mammograms. Although, depending on cut-off score, a small percentage of the malignant lesions can be missed using this procedure, which thus requires a thorough risk-benefit analysis. ADVANCES IN KNOWLEDGE: This study conducts an independent evaluation of an AI program's detection capacity under screening-like conditions which has not previously been done for this program.

Personality and learning styles in relation to attitudes towards interprofessional education: a cross-sectional study on undergraduate medical students during their clinical courses.

BACKGROUND: Interprofessional Education (IPE) is now included in curricula in universities worldwide. It is known that there are differences in attitudes towards IPE among students, but less is known regarding how students' personalities and learnings styles correspond with those attitudes. The aim of this study was to investigate whether personality traits and learning styles have any impact on medical students' attitudes towards IPE. METHODS: Seventy nine medical students in their 9th term (63% females, mean age 29 years) were questioned regarding their attitudes towards IPE according to the Interdisciplinary Education Perception Scale questionnaire, the Kolb's learning style and Big Five Inventory questionnaires. For all three instruments we used the Swedish translated versions. RESULTS: When investigated with a logistic regression, adjusting for age and gender, there were no significant associations between Big Five inventory, Kolb's learning style and IEPS, except for the Reflective-Pragmatic learning style that was moderately associated with a higher IEPS score. CONCLUSION: There was no clear correlation between personality, learning style and attitude towards IPE as measured by the IEPS among medical students in our study population. Further investigations would benefit from a combination of qualitative and quantitative design.

A national perspective about the current work situation at modern radiotherapy departments.

BACKGROUND: The radiotherapy (RT) community faces great challenges to meet the growing cancer incidence, especially regarding workload and recruitment of personnel. Workflow-related issues affect involved professions differently since they have specific expertise and various roles in the workflow. To obtain an objective understanding of the current working situation and identify workflow bottle necks in RT, we conducted a national survey on this topic in 2018. MATERIALS AND METHODS: All 17 (photon-based) RT departments in Sweden were invited to participate in the study, which targeted both managers and employees in RT. Descriptive statistics were calculated for each profession and for small, medium and large departments (2/3-4/≥5 linacs). RESULTS: Altogether, 364 filled-in questionnaires were returned (32/332 managers/employees; 94% response rate). Managers reported a general need for more staff (all professions). Small departments reported no problems with waiting times (0/3); whereas 2/3 of medium and large departments did (medium: 5/8, large: 2/3). All professions had a positive attitude towards working in RT (mean = 86%, 0/100%=negative/positive attitude). Organizational issues were ranked highest among reoccurring events that were most frustrating/had most negative effect on the work environment. The most severe workflow-related problems were reported to originate at contouring. CONCLUSION: Future efforts to improve the modern RT workflow need to focus on how to make positive mechanisms at small departments useful in larger settings. Our data also reveal that strong leadership and improved routines at contouring are warranted by all RT professions to reduce frustration related to organizational issues and to increase work effectivity.

Quality of care in dysphagia patients: adaptation and validation of the Swedish SWAL-CARE questionnaire.

BACKGROUND: The aim of this study was to adapt the instrument and evaluate the psychometric properties of the Swedish version of the Swallowing Quality of Care questionnaire (S-SWAL-CARE) in patients with oropharyngeal dysphagia. METHODS: Translation and adaptation of the original SWAL-CARE into Swedish was performed according to established international guidelines. Field testing was performed using 100 patients with oropharyngeal dysphagia due to multiple reasons such as head and neck cancer and neurologic/neuromuscular disease, who had undergone swallowing evaluation within 6 months prior to the study. The patients answered the S-SWAL-CARE, the Quality from the Patient's Perspective (QPP) and the Swallowing Quality of Life (SWAL-QOL). Test-retest was performed in 20% of the participants. The reliability and validity of the S-SWAL-CARE were assessed by Pearson correlation coefficient and Cronbach's alpha as well as convergent and discriminative validity, respectively. RESULTS: The field testing of the S-SWAL-CARE resulted in sufficient reliability, with Cronbach's alpha values exceeding 0.90 for all domains. All items correlated strongly to their own domain, with weaker correlations to the other domains, indicating proper scale structure. Results also indicate sufficient convergent and discriminant validity when tested for association to the QPP domains and the SWAL-QOL Total score. The test-retest reliability of the S-SWAL-CARE demonstrated sufficient intraclass correlation coefficient (ICC) for the General advice domain (0.73) and Clinical advice domain (0.82). The ICC for the Patient satisfaction domain was lower (0.44). CONCLUSION: The S-SWAL-CARE can be considered a reliable and valid tool to assess the dysphagia-related quality of care in a mixed Swedish dysphagia patient population.

Structural Insights into AQP2 Targeting to Multivesicular Bodies.

Vasopressin-dependent trafficking of AQP2 in the renal collecting duct is crucial for the regulation of water homeostasis. This process involves the targeting of AQP2 to the apical membrane during dehydration as well as its removal when hydration levels have been restored. The latter involves AQP2 endocytosis and sorting into multivesicular bodies (MVB), from where it may be recycled, degraded in lysosomes, or released into urine via exosomes. The lysosomal trafficking regulator-interacting protein 5 (LIP5) plays a crucial role in this by coordinating the actions of the endosomal sorting complex required for transport III (ESCRT-III) and vacuolar protein sorting 4 (Vps4) ATPase, resulting in the insertion of AQP2 into MVB inner vesicles. While the interaction between LIP5 and the ESCRT-III complex and Vps4 is well characterized, very little is known about how LIP5 interacts with AQP2 or any other membrane protein cargo. Here, we use a combination of fluorescence spectroscopy and computer modeling to provide a structural model of how LIP5 interacts with human AQP2. We demonstrate that, the AQP2 tetramer binds up to two LIP5 molecules and that the interaction is similar to that seen in the complex between LIP5 and the ESCRT-III component, charged multivesicular body protein 1B (CHMP1B). These studies give the very first structural insights into how LIP5 enables membrane protein insertion into MVB inner vesicles and significantly increase our understanding of the AQP2 trafficking mechanism.

Identifying organs at risk for radiation-induced late dysphagia in head and neck cancer patients.

BACKGROUND AND PURPOSE: Dysphagia is a common, severe and dose-limiting toxicity after oncological treatment of head and neck cancer (HNC). This study aims to investigate relationships between radiation doses to structures involved in normal swallowing and patient-reported as well as clinically measured swallowing function in HNC patients after curative (chemo-) radiation therapy (RT) with focus on late effects. MATERIALS AND METHODS: Patients (n = 90) with HNC curatively treated with RT ±â€¯chemotherapy in 2007-2015 were assessed for dysphagia post-treatment by telephone interview and videofluoroscopy (VFS). A study-specific symptom score was used to determine patient-reported dysphagia. The Penetration-Aspiration Scale (PAS) was applied to determine swallowing function by VFS (PAS ≥ 4/ ≥ 6 = moderate/severe dysphagia). Thirteen anatomical structures involved in normal swallowing were individually delineated on the patients' original planning CT scans and associated dose-volume histograms (DVHs) retrieved. Relationships between structure doses and late toxicity were investigated through univariable and multivariable logistic regression analysis (UVA/MVA) accounting for effects by relevant clinical factors. RESULTS: Median assessment time was 7 months post-RT (range: 5-34 months). Mean dose to the contralateral parotid gland and supraglottic larynx as well as maximum dose to the contralateral anterior digastric muscle predicted patient-reported dysphagia (AUC = 0.64-0.67). Mean dose to the pharyngeal constrictor muscle, the larynx, the supraglottic larynx and the epiglottis, as well as maximum dose to the contralateral submandibular gland predicted moderate and severe dysphagia by VFS (AUC = 0.71-0.80). CONCLUSION: The patients in this cohort were consecutively identified pre-treatment, and were structurally approached and assessed for dysphagia after treatment at a specific time point. In addition to established dysphagia organs-at-risk (OARs), our data suggest that epiglottic and submandibular gland doses are important for swallowing function post-RT. Keeping DVH thresholds below V60 = 60% and V60 = 17%, respectively, may increase chances to reduce occurrence of severe late dysphagia. The results need to be externally validated in future studies.

Swedish doctors choice of medical speciality and associations with cultural capital and perceived status: a cross-sectional study.

BACKGROUND: Many western countries have problems recruiting and retaining medical specialists. In Sweden there is a lack of primary care doctors and psychiatrists. Despite much research on the topic the shortage remains. We therefore set out to analyse choice of medical speciality using Bourdieu's theoretical concepts; cultural capital, social background and perceived status. METHODS: A cross-sectional questionnaire-based study of 399 alumni from the Medical School at Karolinska Institutet, Stockholm was performed. The response rate was 72% (n = 286); 262 of the respondents were in training to become specialists. Specialties were categorized as primary care, psychiatry, internal medicine, and surgical and hospital service specialties. To study the associations between medical specialties and cultural capital, we used multinomial regression analyses. Variables that showed a significant association with medical specialties were included in an adjusted multivariable model. These results were presented as odds ratios: the odds that a particular speciality is chosen in comparison to a choice of surgery as a speciality, based on perceptions of high status. RESULTS: The results were analysed using Bourdieu's theoretical concepts of cultural capital, in the form of educational capital and social prestige. We found distinctive differences in perceived status for the examined speciality groups, ranging from 70% high status for surgery down to 6% high status for geriatrics and primary care. Perceived status was also associated with respondents' own speciality choice, presented as an odds ratio. Our data did not show any associations between speciality choice and educational capital. We also included sociodemographic data. CONCLUSION: The field of medicine is according to Bourdieu an arena for power struggles. Knowledge of the distinctive differences in perceived status between medical specialties can be an asset particularly in relation to recruitment and retainment of specialist doctors. Our results could be used to identify specialities where perceptions of low status may be contributing to a shortage of specialists.