Predictors of emotional intelligence among family caregivers of cancer patients: A cross-sectional study.

BACKGROUND: Family caregivers of cancer patients must have strong emotional intelligence skills essential for understanding one's and others' feelings and learning how to cope. OBJECTIVES: The present study aims to determine the predictive factors of emotional intelligence and its relationship with spiritual intelligence, coping, and knowledge and experience about pain among family caregivers of cancer patients in Iran. METHODS: A cross-sectional, descriptive study was conducted in 2020-2021. Two hundred twenty-six family caregivers of cancer patients participated in this study. The data collection tools were Wong and Law's emotional intelligence, King's spiritual intelligence, Brief Cope, and the family pain questionnaire. Following determining the variables' correlation, linear regression was carried out. RESULTS: Emotional intelligence had a significant correlation with age (r = 0.20, p = .003), academic degree (r = 0.15, p = .032), duration of care (r = 0.15, p = .032), and spiritual intelligence (r = 0.30, p < .001). The regression model accounted for 12.4% of the variance in emotional intelligence; age (ß = 0.16, p < .021) and spiritual intelligence (ß = 0.26, p < .001) were significant explanatory variables. CONCLUSIONS: Emotional intelligence is correlated with age, academic degree, duration of care, and spiritual intelligence, but only age and spiritual intelligence were found to be predictive factors for emotional intelligence in the family caregivers of cancer patients.

Analysis and evolution of health policies in Iran through policy triangle framework during the last thirty years: a systematic review of the historical period from 1994 to 2021.

Background: Health policy analysis as a multi-disciplinary approach to public policy illustrates the need for interventions that highlight and address important policy issues, improve the policy formulation and implementation process and lead to better health outcomes. Various theories and frameworks have been contributed as the foundation for the analysis of policy in various studies. This study aimed to analyze health policies during the historical period of the almost last 30 years in Iran using policy triangle framework. Method: To conduct the systematic review international databases (PubMed / Medline, Scopus, Web of Sciences, CINAHL, PsycINFO, Embase, the Cochran Library) and Iranian databases from January 1994 to January 2021 using relevant keywords. A thematic qualitative analysis approach was used for the synthesis and analysis of data. The Critical Appraisal Skills Programme for Qualitative Studies Checklist (CASP) was conducted. Results: Out of 731 articles, 25 articles were selected and analyzed. Studies used health policy triangle framework to analyze policies in the Iranian health sector has been published since 2014. All the included studies were retrospective. The main focus of most of studies for the analysis was on the context and process of polices as the elements of the policy triangle. Conclusion: The main focus of health policy analysis studies in Iran over the last thirty years was on the context and process of polices. Although range of actors within and outside the Iran government influence health policies but in many policy processes the power and the role of all actors or players involved in the policy are not recognized carefully. Also, Iran's health sector suffers from lack of a proper framework for evaluating various implemented policies.