Introduction: Anxiety disorders are impactful mental health conditions for which evidence-based treatments are available, notably cognitive-behavioral therapies (CBTs). Even when CBTs are available, demand-side factors limit their access, and actors in a position to perform demand management activities lack a framework to identify context-appropriate actions.
Methods: We conducted a constructivist grounded theory study in Quebec, Canada, to model demand management targets to improve access to CBTs for anxiety disorders. We recruited key informants with diverse experiences using purposeful, then theoretical sampling. We analyzed data from 18 semi-directed interviews and 20 documents through an iterative coding process centered around constant comparison.
Results: The resulting model illustrates how actors can target clinical-administrative processes fulfilling the demand management functions of detection, evaluation, preparation, and referral to help patients progress on the path of access to CBTs.
Discussion: Modeling clinical-administrative processes is a promising approach to facilitate leveraging the competency of actors involved in demand management at the local level to benefit public mental health.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10808741 | PMC |
http://dx.doi.org/10.3389/frhs.2023.1266987 | DOI Listing |
JMIR Diabetes
January 2025
Research Institute, BC Children's Hospital, Vancouver, BC, Canada.
Background: Beyond physical health, managing type 1 diabetes (T1D) also encompasses a psychological component, including diabetes distress, that is, the worries, fears, and frustrations associated with meeting self-care demands over the lifetime. While digital health solutions have been increasingly used to address emotional health in diabetes, these technologies may not uniformly meet the unique concerns and technological savvy across all age groups.
Objective: This study aimed to explore the mental health needs of adolescents with T1D, determine their preferred modalities for app-based mental health support, and identify desirable design features for peer-delivered mental health support modeled on an app designed for adults with T1D.
Health Care Manag Sci
January 2025
Healthcare, Topicus, Singel 25, Deventer, Overijssel, 7411 HW, The Netherlands.
Ambulances must be strategically placed to ensure timely patient care and save lives. The allocation problem considered in the current paper optimally distributes a fixed number of ambulances over predetermined bases with limited capacity. Ambulance allocation problems are usually solved through historical demand.
View Article and Find Full Text PDFJ Clin Nurs
January 2025
School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Aims: To explore the complete decision-making process and action logic of nurses making autonomous decisions that result in missed nursing care.
Background: The complex characteristics of patients in Intensive Care Units place higher demands on the allocation of nursing resources, as well as on the professional skills, resilience and ethics of nursing staff. Preventing missed nursing care is particularly crucial in Intensive Care Units.
This study extends the Job Demands-Resources (JD-R) model by incorporating regulatory focus (promotion vs. prevention) as a moderator, examining its impact on job engagement among public sector employees ( = 306). The results show that employees with a promotion focus are more likely to experience increased engagement when facing challenge stressors, as they perceive such stressors as growth opportunities.
View Article and Find Full Text PDFInt J Nurs Sci
September 2024
School of Nursing, Yasuda Women's University, Hiroshima, Japan.
Objectives: Newly graduated nurses commence night shifts during a phase of heightened vulnerability to reality shock, exacerbating the challenges faced by these graduates. Therefore, this study aimed to identify the challenges experienced by newly graduated nurses when undertaking night shifts in order to help identify a strategy for supporting their adaptation to these shifts.
Methods: Semi-structured personal interviews were used to collect data.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!