Purpose: As the COVID-19 pandemic recedes, the importance of population health has come into sharp focus, prompting many health systems to explore leveraging population health data (PHD) for operational planning. This approach requires that healthcare leaders embrace the dual priorities of maintaining excellence in patient care while promoting the overall health of populations. However, many leaders are new to population-based thinking, posing a threat to successful operationalization if mental models are not aligned.
Patients And Methods: This qualitative case study explored the alignment of mental models among 13 senior leaders at Trillium Health Partners (THP), one of Canada's largest community hospitals, as they embark on embedding PHD within operational workflows.
Results: All leaders recognized the necessity of adopting a population health approach amid resource constraints and growing pressures. When discussing the operationalization of PHD, two distinct mental models emerged among leaders: one focused on patient care and the other on population health. While executive leaders demonstrated a fluidity in their thinking between the two, programmatic leaders favoured one over the other. For example, some viewed the organization's focus on PHD as competing with their patient care responsibilities, while others saw the use of PHD as a solution to the organization's operational pressures. Despite these divergences, leaders unanimously stressed the importance of increasing the organization's risk tolerance and devolving decision-making as a necessary precursor to realizing the transformation to a PHD-driven approach.
Conclusion: These divergent mental models highlight a need to clarify the shared vision for the use of PHD along with its impact on leadership roles and accountabilities. These findings illustrate the current state from which THP aims to evolve and underscore the importance of aligning leaders' mental models as a critical step to facilitating successful integration of PHD and advancing a collective vision for healthcare transformation.
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http://dx.doi.org/10.2147/JHL.S475322 | DOI Listing |
The current study aims to determine how the interactions between practice (distributed/focused) and mental capacity (high/low) in the cloud-computing environment (CCE) affect the development of reproductive health skills and cognitive absorption. The study employed an experimental design, and it included a categorical variable for mental capacity (low/high) and an independent variable with two types of activities (distributed/focused). The research sample consisted of 240 students from the College of Science and College of Applied Medical Sciences at the University of Hail's.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Instituto de Estudios de Género, Universidad Carlos III de Madrid, Calle Madrid, 126, 28903 Getafe, Spain.
Emotion recognition through artificial intelligence and smart sensing of physical and physiological signals (affective computing) is achieving very interesting results in terms of accuracy, inference times, and user-independent models. In this sense, there are applications related to the safety and well-being of people (sexual assaults, gender-based violence, children and elderly abuse, mental health, etc.) that require even more improvements.
View Article and Find Full Text PDFNutrients
December 2024
School of Psychology, Laval University, 2325 Rue des Bibliothèques, Quebec City, QC G1V 0A6, Canada.
: Binge eating (BE) is associated with physical and psychological consequences, such as obesity and reduced quality of life. The relationship between binge eating and childhood experiences of interpersonal trauma has been explored, yet few studies focus on the processes that may explain this association. In this regard, some personality traits and maladaptive cognitive-emotional regulation may help explain this relationship, as they have been associated, respectively, with BE and childhood interpersonal trauma.
View Article and Find Full Text PDFNutrients
December 2024
Institute for Advancing Health Through Agriculture, Texas A&M University, College Station, TX 77840, USA.
Background/objectives: Multilevel interventions have demonstrated efficacy in improving obesity and other related health outcomes. However, heterogeneity in individual responses indicates the need to identify the factors associated with responses and non-responses to multilevel interventions. The objective of this report is to identify the potential sources of heterogeneity through the exploration of the moderation effects of participant characteristics (sociodemographic and baseline physical/mental health) in the Strong Hearts, Healthy Communities-2.
View Article and Find Full Text PDFNutrients
December 2024
School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Background: Dietary intake of polyunsaturated fatty acids (PUFA) plays a significant role in the onset and progression of neurodegenerative diseases. Since the neuroprotective effects of n-3 PUFA have been widely validated, the role of n-6 PUFA remains debated, with their underlying mechanisms still not fully understood.
Methods: In this study, 169,295 participants from the UK Biobank were included to analyze the associations between dietary n-6 PUFA intake and neurodegenerative diseases using Cox regression models with full adjustments for potential confounders.
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