Responsible coordination of municipal health and care services for individuals with serious mental illness: a participatory qualitative study with service users and professionals.

Background: Care coordination is crucial to ensure the health of individuals with serious mental illness. The aim of this study was to describe and analyze an inclusive innovation process for coordinating municipal health and care services for individuals with serious mental illness.

Methods: We conducted café dialogues with professionals and service users with serious mental illness.

Mechanistic Modeling of In Vitro Biopharmaceutic Data for a Weak Acid Drug: A Pathway Towards Deriving Fundamental Parameters for Physiologically Based Biopharmaceutic Modeling.

Mechanistic modeling of in vitro experiments using metabolic enzyme systems enables the extrapolation of metabolic clearance for in vitro-in vivo predictions. This is particularly important for successful clearance predictions using physiologically based pharmacokinetic (PBPK) modeling. The concept of mechanistic modeling can also be extended to biopharmaceutics, where in vitro data is used to predict the in vivo pharmacokinetic profile of the drug.

Perspectives on Coordinating Health Services for Individuals with Serious Mental Illness - A Qualitative Study.

Purpose: Individuals with serious mental illness (SMI) might require coordinated health services to meet their healthcare needs. The overall aim of this study was to describe the perspectives of professionals (registered nurses, medical doctors, social educators, and social workers) on care coordination and measures to ensure proper and coordinated follow-up of the healthcare needs of individuals with SMI. More specifically, we investigated which measures are taken by employees in municipal health and care services to prevent the deterioration of health conditions and which measures are taken in cases where deterioration occurs despite preventive efforts.

Employees' Work-Related Well-Being during COVID-19 Pandemic: An Integrated Perspective of Technology Acceptance Model and JD-R Theory.

Employees' work-related well-being has become one of the most significant interests of researchers and organizations due to the COVID-19 pandemic. This study examines how job characteristics such as mental load and team support, and technology-related factors such as perceived ease of use, perceived usefulness, and technology acceptance, impact employees' work engagement as a dimension of work well-being. Data were collected through a sample of 610 academic employees from three Norwegian universities after COVID-19 restrictions were implemented.

A Home-Based eHealth Intervention for an Older Adult Population With Food Insecurity: Feasibility and Acceptability Study.

Background: Food insecurity is a global public health challenge, affecting predominately the most vulnerable people in society, including older adults. For this population, eHealth interventions represent an opportunity for promoting healthy lifestyle habits, thus mitigating the consequences of food insecurity. However, before their widespread dissemination, it is essential to evaluate the feasibility and acceptability of these interventions among end users.