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Vaccination is a critical public health measure for preventing infectious diseases, but its acceptance varies globally, influenced by factors like vaccine hesitancy. This study examines attitudes and vaccination literacy among Kazakh students, providing insights into global immunization strategies. A cross-sectional survey was conducted with 3142 students from various Kazakh universities. The HLS19-VAC instrument assessed vaccination literacy, while additional questions evaluated beliefs and attitudes toward vaccines. Data were analyzed to determine associations between vaccine-related beliefs and literacy. The mean vaccination literacy score was 84.74. Most students agreed on the importance (83.4%), safety (79.1%), effectiveness (80.9%), and religious compatibility (77.8%) of vaccines. Positive beliefs significantly correlated with higher literacy scores. Past vaccination behavior, age, gender, and location showed varied associations, with past vaccination status and higher age showing a positive correlation. Positive beliefs about vaccinations were strongly associated with higher vaccination literacy among Kazakh students. Educational interventions that reinforce positive beliefs may improve vaccination literacy and increase vaccination rates. This study underscores the importance of understanding vaccination attitudes to enhance public health strategies in middle-income countries. [ABSTRACT FROM AUTHOR]

Background: Although cardiometabolic diseases are leading causes of morbidity and mortality in the United States, computerized tools for risk assessment of cardiometabolic disease are rarely integral components of primary care practice. Embedding cardiometabolic disease staging systems (CMDS) into computerized clinical decision support systems (CDSS) may assist with identifying and treating patients at greatest risk for developing cardiometabolic disease. Objective: This study aimed to explore the current approach to medical management of obesity and the need for CMDS designed to aid medical management of people living with obesity, at risk of being obese, or diabetic at the point of care. Methods: Using a general inductive approach, this qualitative research study was guided by an interpretive epistemology. The method included semistructured, in-depth interviews with primary care providers (PCPs) from university-based community health clinics. The literature informed the interview protocol and included questions on PCPs' experiences and the need for a tool to improve their ability to manage and prevent complications from overweight and obesity. Results: PCPs (N=10) described their current approaches and emphasized behavioral treatments consisting of combined diet, physical activity, and behavior therapy as the first line of treatment for people who were overweight or obese. Results suggest that beneficial features of CDSS include (1) clinically relevant and customizable support, (2) provision of a comprehensive medical summary with trends, (3) availability of patient education materials and community resources, and (4) simplicity and ease of navigation. Conclusions: Implementation of a CMDS via a CDSS could enable PCPs to conduct comprehensive cardiometabolic disease risk assessments, supporting clinical management of overweight, obesity, and diabetes. Results from this study provide unique insights to developers and researchers by identifying areas for design optimization, improved end user experience, and successful adoption of the CDSS. [ABSTRACT FROM AUTHOR]

Goal: The goal of this study was to describe the prevalence and pattern of population health partnerships by hospitals and examine whether these partnerships were associated with different types of payment model programs. Methods: We conducted a cross-sectional analysis of 3,012 U.S. hospitals using data from the American Hospital Association's Annual Survey, the Area Health Resources File, and the County Health Rankings & Roadmaps data. We ran a multivariable Poisson regression model to examine the relationship between value-based payment designs and the number of population health partnerships. Binary logistic regression models were used to assess whether participation in value-based payment design programs was associated with specific types of population health partnerships. Principal Findings: We found that two thirds or more of hospitals used more informal collaborative partnerships with local or state government, faith-based organizations, and local businesses; formal alliances were most common with health insurance companies and other healthcare providers. Accountable care organizations and bundled payment program participation were associated with greater numbers of population health partnerships, whereas hospital ownership of a health plan was not associated with significantly greater numbers of population health partnerships. Applications to Practice: Hospitals were engaged in an intermediate number of partnerships (mean = 3.5, out of 8.0 possible), with opportunities for more partnerships with specific types of organizations (faith-based organizations, health insurance companies). Our findings also suggest that certain types of payment models, particularly those that are less capital intensive and entail less extensive organizational transformation on the part of hospitals, may support hospital engagement in population health partnerships. Hospital leaders need to monitor these partnerships continually to determine if they can capitalize on opportunities to play a more prominent role in population health management in local communities. [ABSTRACT FROM AUTHOR]