Quality Improvement with Outcome Data in Integrated Obstetric Care Networks: Evaluating Collaboration and Learning Across Organizational Boundaries with an Action Research Approach

Introduction: Patient-reported outcome and experience measures (PROM and PREM) are used to guide individual care and quality improvement (QI). QI with patient-reported data is preferably organized around patients, which is challenging across organisations. We aimed to investigate network-broad learning for QI with outcome data. Methods: In three obstetric care networks using individual-level PROM/PREM, a learning strategy for cyclic QI based on aggregated outcome data was developed, implemented and evaluated. The strategy included clinical, patient-reported, and professional-reported data; together translated into cases for interprofessional discussion. This study’s data generation (including focus groups, surveys, observations) and analysis were guided by a theoretical model for network collaboration. Results: The learning sessions identified opportunities and actions to improve quality and continuity of perinatal care. Professionals valued the data (especially patient-reported) combined with in-dept interprofessional discussion. Main challenges were professionals’ time constraints, data infrastructure, and embedding improvement actions. Network-readiness for QI depended on trustful collaboration through connectivity and consensual leadership. Joint QI required information exchange and support including time and resources. Conclusions: Current fragmented healthcare organization poses barriers for network-broad QI with outcome data, but also offers opportunities for learning strategies. Furthermore, joint learning could improve collaboration to catalyse the journey towards integrated, value-based care

Neurobiological correlates of antisociality across adolescence and young adulthood: a multi-sample, multi-method study

Pathways through Adolescenc

Neurobiological correlates of antisociality across adolescence and young adulthood: a multi-sample, multi-method study

Background Antisociality across adolescence and young adulthood puts individuals at high risk of developing a variety of problems. Prior research has linked antisociality to autonomic nervous system and endocrinological functioning. However, there is large heterogeneity in antisocial behaviors, and these neurobiological measures are rarely studied conjointly, limited to small specific studies with narrow age ranges, and yield mixed findings due to the type of behavior examined. Methods We harmonized data from 1489 participants (9-27 years, 67% male), from six heterogeneous samples. In the resulting dataset, we tested relations between distinct dimensions of antisociality and heart rate, pre-ejection period (PEP), respiratory sinus arrhythmia, respiration rate, skin conductance levels, testosterone, basal cortisol, and the cortisol awakening response (CAR), and test the role of age throughout adolescence and young adulthood. Results Three dimensions of antisociality were uncovered: 'callous-unemotional (CU)/manipulative traits', 'intentional aggression/conduct', and 'reactivity/impulsivity/irritability'. Shorter PEPs and higher testosterone were related to CU/manipulative traits, and a higher CAR is related to both CU/manipulative traits and intentional aggression/conduct. These effects were stable across age. Conclusions Across a heterogeneous sample and consistent across development, the CAR may be a valuable measure to link to CU/manipulative traits and intentional aggression, while sympathetic arousal and testosterone are additionally valuable to understand CU/manipulative traits. Together, these findings deepen our understanding of the fundamental mechanisms underlying different components of antisociality. Finally, we illustrate the potential of using current statistical techniques for combining multiple datasets to draw robust conclusions about biobehavioral associations

The public health workforce: An assessment in the Netherlands

The public health workforce is a key resource of population health. How many people work in public health in the Netherlands, what are their characteristics and who does what? Remarkably, such information about the size and composition of the public health workforce in the Netherlands is lacking. A standardized system to collect these data is also unavailable. This thesis introduces a new methodology to enumerate the public health workforce. By applying it to environmental public health and preventive youth health care, our insight in the quantity and quality of the current and future public health workforce in the Netherlands has increased. The studies described in this thesis are among the first scientific studies into public health workforce enumeration in the Netherlands and the results contribute to an empirical base for public health workforce planning and development

[Health professionals for the climate]

More than 230 medical journals have called for worldwide action against global warming and for nature restoration. They call on health professionals to actively contribute to increasing support for the radical measures necessary to maintain the health and well-being of life on our planet. This call concerns not only making one's own living and working environment greener, but above all the use of medical knowledge, expertise and authority for measures that matter worldwide. This starts with concrete advice to patients to prevent damage from climate change at an individual level. Health workers must stand up for prevention and care outside the consultation room and across national borders. After all, medical doctors have historically been in a position to speak out about these threats and to remind political leaders of their responsibility.Health professionals can lead by example by realizing greener and more sustainable care themselves