Background

Working in respiratory intensive care unit (RICU) is multidimensional that requires nurses with special attributes to involve with the accountability of the critically ill patients.

Objectives

The aim of this study was to explore the appropriate nursing care strategy in the RICU in order to unify and coordinate the nursing care in special atmosphere of the RICU.

Materials and methods

This conventional content analysis study was conducted on 23 health care providers working in the RICU of Sina and Shariati hospitals affiliated to Tehran university of medical sciences and the RICU of Baqiyatallah university of medical sciences from August 2012 to the end of July 2013. In addition to in-depth semistructured interviews, uninterrupted observations, field notes, logs, patient's reports and documents were used. Information saturation was determined as an interview termination criterion.

Results

Intelligence care emerged as a main theme, has a broad spectrum of categories and subcategories with bridges and barriers, including equality of bridges and barriers (contingency care, forced oriented task); bridges are more than barriers (human-center care, innovative care, cultural care, participatory care, feedback of nursing services, therapeutic-professional communication, specialized and independent care, and independent nurse practice), and barriers are higher than bridges (personalized care, neglecting to provide proper care, ineffectiveness of supportive caring wards, futility care, nurse burnout, and nonethical-nonprofessional communications).

Conclusions

Intelligence care is a comprehensive strategy that in addition to recognizing barriers and bridges of nursing care, with predisposing and precipitating forces it can convert barriers to bridges.

The crisis of the COVID-19 prevalence in Iran, as well as the world, caused mental disorders and anxiety syndrome. The COVID-19 anxiety syndrome scale (C-19ASS) assesses conceptually and psychometrically the nature of the COVID-19 threat experience instead of a response to the threat, fear, and COVID-19 anxiety. Therefore, the aim of this study is to evaluate the psychometric properties of the Persian version of the anxiety syndrome scale of COVID-19 in the population of Iran. The Persian version of C-19ASS was sent to Iranian adults via online social networking applications and finally, 932 adults responded to the questionnaire. The results of exploratory factor analysis revealed two-factor structures for C-19ASS, which explained 48.70% of the total variance. Given the confirmatory factor analysis findings, all goodness of fit indices confirmed the model fit. All coefficients of internal consistency were estimated as acceptable reliability. The results showed that the C-19ASS has good psychometric properties, and can be used by researchers, psychologists, and healthcare providers to assess the anxiety syndrome of the Iranian population during the COVID-19 pandemic.