Factors Affecting State and Trait Anxiety of Relatives of Hospitalized Patients.
Alexandra FriligouMaria SidiropoulouAnna KavgaGeorgia GerogianniMichael KourakosGeorgios VasilopoulosMaria PolikandriotiPublished in: Journal of caring sciences (2021)
Introduction: Hospitalization is a stressful event for both patients and relatives. The aim of the study was to explorefactors affecting state and trait anxiety of relatives of hospitalized patients. Methods: In this cross-sectional study, was enrolled a convenience sample of 222 relatives of hospitalized patients in a public hospital in Athens, Greece. Data were collected by the completion of State-Trait Anxiety Inventory (STAI) which also included participants' characteristics. Data were analyzed using SPSS version 25, while the statistical significance level was P < 0.05. Results: Of the 222 relatives, 72 were men and 150 women. The average state and trait anxiety score was 45.6 and 42, respectively, within the possible range of scores (20-80) thus indicating moderate levels of anxiety. Moreover, state and trait anxiety was statistically significantly associated with gender, degree of information of patient's health, whether they had readjusted family responsibilities, whether they had financial worries, whether they experienced uncertainty about future and finally whether they were anxious about their ability to respond to patients care. Conclusion: Factors associated with relatives' anxiety were gender, information regarding patient's health, family responsibilities, financial worries, uncertainty and anxiety to respond to patients' care. These factors need to be evaluated when planning psychological intervention to alleviate this emotional burden.
Keyphrases
- healthcare
- sleep quality
- end stage renal disease
- ejection fraction
- newly diagnosed
- mental health
- genome wide
- randomized controlled trial
- peritoneal dialysis
- public health
- prognostic factors
- health information
- gene expression
- emergency department
- dna methylation
- high intensity
- risk assessment
- risk factors
- quality improvement
- social media
- psychometric properties
- artificial intelligence
- adverse drug