Aim To report an analysis of the concept of community empowerment. Design Concept analysis. Data Sources Literature published in the CINAHL, PubMed, Scopus and Medline electronic databases from 2016 to 2022 were systematically searched from 30 July to 1 October 2022. Method The amended guideline from Walker and Avant's approach (2011) to concept analysis was performed in nine stages: choosing a concept, determining the purpose of analysis, identifying definitions of the concept, defining attributes, identifying a model case, identifying antecedents, identifying consequences, defining empirical referents and applying the concept to nursing practice. Results Community empowerment is a fundamental idea in health promotion that may assist communities in defining priorities, making choices, developing strategies and executing them to improve health and minimize inequalities in health. Community empowerment is an effective tool that advanced practice nurses (APNs) may employ to eliminate health inequities and promote community health. Conclusion This concept analysis is one step towards broadening nurses' understanding of one of the ideas of health promotion. Additionally, the concept of community empowerment represents an opportunity for additional research in nursing that is applicable to communities. Impact Community empowerment has served as a guiding paradigm for both theory and practice in health promotion. Also, it is recognized that social, economic and environmental elements have a direct effect on health status. However, community empowerment research in advanced nursing practices is limited. This paper will guide future nursing research on community empowerment that goes beyond involvement and engagement, for this is an effective strategy APNs can use to address health disparities and improve community health.
Introduction: Recent literature has documented a high prevalence of cardiovascular disease (CVD) risk factors among Middle Eastern (ME) population. Yet, literature is sparse regarding the association of social determinants of health (SDoH) and CVD risk factors among ME immigrants. The objective of this study was to examine the associations between SDoH and hypertension and diabetes among ME immigrants in the U.S. Methods: A cross-sectional analysis was conducted using data from the 2010-2018 National Health Interview Survey (NHIS). SDoH were defined as income, education, employment, and health insurance. Hypertension and diabetes diagnoses were self-reported. Generalized linear models using Poisson distribution were fitted to examine the associations between the SDoH and hypertension and diabetes, separately. Results: We included 3,271 ME immigrants, 45% female, with mean age 46 years, 85.3% were insured, 44% had at least a college education, and 21% lived below poverty level. Almost 3% had diabetes and 8% had hypertension. Participants with higher income had lower odds (Adjusted Odds Ratio(aOR): 0.35, 95% CI): 0.18-0.69), while those who had health insurance had higher odds (aOR: 5.77, 95% CI: 1.37–24.32) of diabetes diagnosis. There were no significant associations between SDoH and hypertension diagnosis. Conclusion: Our analysis yielded significant associations of SDoH and diabetes among ME immigrants. Future investigations should focus on addressing health inequities to establish SDoH-informed care targeting CVD risk factors.
Multi-site research studies redefine cohort studies by simultaneously providing a cross-sectional snapshot of patients and monitoring them over time, to evaluate outcomes. However, careful design is crucial to minimize potential biases, such as seasonal variations, that may arise during the study period. Addressing snapshot study challenges requires strategic solutions: implementing multi-stage sampling for representativeness, providing rigorous data collection training, using translation techniques and content validation for cultural and linguistic appropriateness, streamlining ethical approval processes, and applying comprehensive data management for follow-up and missing data. These strategies can optimize the efficacy and ethicality of snapshot studies.
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