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Introduction: Implementation science methods and a theory-driven approach can enhance the understanding of whether, how, and why integrated care for frail older adults is successful in practice. In this study, we aimed to perform a contextual analysis, develop a logic model, and select preliminary implementation strategies for an integrated care model in newly created information and advice centers for older adults in Canton Basel-Landschaft, Switzerland. Methods: We conducted a contextual analysis to determine factors which may influence the integrated care model and implementation strategies needed. A logic model depicting the overall program theory, including inputs, core components, outputs and outcomes, was designed using a deductive approach, and included stakeholders’ feedback and preliminary implementation strategies. Results: Contextual factors were identified (e.g., lack of integrated care regulations, existing community services, and a care pathway needed). Core components of the care model include screening, referral, assessment, care plan creation and coordination, and follow-up. Outcomes included person-centred coordinated care experiences, hospitalization rate and symptom burden, among others. Implementation strategies (e.g., nurse training and co-developing educational materials) were proposed to facilitate care model adoption. Conclusion: Contextual understanding and a clear logic model should enhance the potential for successful implementation of the integrated care model.

PURPOSE Allogeneic stem cell transplantation would benefit from re-engineering care towards an integrated eHealth-facilitated care model. With this paper we aim to: (1) describe the development of an integrated care model (ICM) in allogeneic SteM-cell-transplantatIon faciLitated by eHealth (SMILe) by combining implementation, behavioral, and computer science methods (e.g., contextual analysis, Behavior Change Wheel, and user-centered design combined with agile software development); and (2) describe that model's characteristics and its application in clinical practice. METHODS The SMILe intervention's development consisted of four steps, with implementation science methods informing each: (1) planning its set-up within a theoretical foundation; (2) using behavioral science methods to develop the content; (3) choosing and developing its delivery method (human/technology) using behavioral and computer science methods; and (4) describing its characteristics and application in clinical practice. RESULTS The SMILe intervention is embedded within the eHealth enhanced Chronic Care Model, entailing four self-management intervention modules, targeting monitoring and follow-up of important medical and symptom-related parameters, infection prevention, medication adherence, and physical activity. Interventions are delivered partly face-to-face by a care coordinator embedded within the transplant team, and partly via the SMILeApp that connects patients to the transplant team, who can monitor and rapidly respond to any relevant changes within 1 year post-transplant. CONCLUSION This paper provides stepwise guidance on how implementation, behavioral, and computer science methods can be used to develop interventions aiming to improve care for stem cell transplant patients in real-world clinical settings. This new care model is currently being tested in a hybrid I effectiveness-implementation trial.

BACKGROUND Living donor renal transplantation is widely performed in Switzerland with a superior long-term outcome and lower waiting time compared with deceased renal transplantation. However the chances of receiving a living donor kidney transplant are not the same for all transplant candidates. The current study aimed to identify psychosocial and demographic characteristics that predict lower access to living kidney donation in Switzerland. METHODS The study was a nationwide multicentre study nested within the Swiss Transplant Cohort Study. Pre-transplant demographic, psychosocial and health characteristics of 1126 deceased and 859 living renal transplant recipients were compared using logistic regression analysis. RESULTS Transplant candidates with higher age (odds ratio [OR] per 10 years 0.67, 95% confidence interval [CI] 0.60–0.74), lower education (OR 0.46, 95% CI 0.36–0.59), a work capacity of less than 50% (OR 0.48, 95% CI 0.35–0.66), single or formerly married (OR 0.38, 95% CI 0.26–0.53 / OR 0.37, 95% CI 0.26–0.53) or with a higher hospital depression score (OR per 5 points 0.61, 95% CI 0.50–0.74) were less likely to receive an allograft from a living donor. In some regions of Switzerland candidates were more likely to undergo living transplantation than in other regions. No association was found with gender or income. CONCLUSIONS Interventions to increase access to kidney transplantation from living donors should target transplant candidates of older age, lower education, lower working capacity and not living in a committed relationship. The observed regional differences suggest that additional determinants of living donation may play a role such as population and health professional attitudes toward living donation.

PURPOSE The Swiss Transplant Cohort Study (STCS) is a prospective multicentre cohort study which started to actively enrol study participants in May 2008. It takes advantage of combining data from all transplant programmes in one unique system to perform comprehensive nationwide reporting and to promote translational and clinical post-transplant outcome research in the framework of Swiss transplantation medicine. PARTICIPANTS Over 5500 solid organ transplant recipients have been enrolled in all six Swiss transplant centres by end of 2019, around three-quarter of them for kidney and liver transplants. Ninety-three per cent of all transplanted recipients have consented to study participation, almost all of them (99%) contributed to bio-sampling. The STCS genomic data set includes around 3000 patients. FINDINGS TO DATE Detailed clinical and laboratory data in high granularity as well as patient-reported outcomes from transplant recipients and activities in Switzerland are available in the last decade. Interdisciplinary contributions in diverse fields of transplantation medicine such as infectious diseases, genomics, oncology, immunology and psychosocial science have resulted in approximately 70 scientific papers getting published in peer-review journals so far. FUTURE PLANS The STCS will deepen its efforts in personalised medicine and digital epidemiology, and will also focus on allocation research and the use of causal inference methods to make complex matters in transplant medicine more understandable and transparent.

This study aimed to investigate the levels of burnout and work engagement among home care workers in Switzerland and to test their association with job demands and job resources. We conducted a multi-centre, cross-sectional survey in the German-speaking part of Switzerland with a convenience sample of seven home care agencies. Data were collected between September 2017 and January 2018. We assessed burnout with the Maslach Burnout Inventory (MBI) and work engagement with the Utrecht Work Engagement Scale (UWES) as well as job demands (overtime, work-family conflicts, experienced aggression and work stressors) and job resources (predictability, staffing, teamwork, leadership, collaboration, social support, sense of community, feedback). To investigate the levels of burnout and work engagement, we applied descriptive statistics. Based on Bakker and colleagues' Job Demands-Resources model, we used a path analysis to test the associations of job demands and job resources with burnout and work engagement. We analysed data from 448 home care workers (response rate 61.8%, mean age 44 years (SD 13.2), 96% female). The frequency of burnout in our sample was low, while that of work engagement was high. Job demands correlated positively with emotional exhaustion (β = .54, p < .001) and negatively with work engagement (β = -.25, p < .001). Job resources correlated negatively with emotional exhaustion (β = -.28, p < .001) and positively with work engagement (β = .41, p < .001). Work-family conflicts and work stressors correlated strongest with emotional exhaustion, whereas social support and feedback were found to correlate strongest with work engagement. Improvements to the home care work environment might enhance work engagement and reduce burnout. Corrective interventions could focus on reducing specific aspects of job demands, such as work-family conflicts and work stressors, as well as on increasing aspects of job resources, especially social support and feedback.