Background Self-care is important at all stages of life and health status to promote well-being, prevent disease, and improve health outcomes. Currently, there is a need to better conceptualize self-care in the general adult population and provide an instrument to measure self-care in this group. Therefore, the aim of this study was to develop and evaluate the Self-Care Inventory (SCI), a theory-based instrument to measure self-care in the general adult population. Methods Based on the Middle Range Theory of Self-Care, the 20-item SCI was developed with three scales: Self-Care Maintenance (8 items), Self-Care Monitoring (6 items), and Self-Care Management (6 items). A cross sectional study with a US-based sample (n = 294) was conducted to test the SCI. Internal validity was assessed with Confirmatory Factor Analysis. Internal consistency reliability was assessed with Cronbach alpha for unidimensional scales or composite reliability and the global reliability index for multidimensional scales. Construct validity was investigated with Pearson correlation to test the relationship between general self-efficacy, positivity, stress, and self-care scores. Results The Self-Care Maintenance and Management scales were multidimensional and the Self-Care Monitoring scale was unidimensional. The global reliability index for multidimensional scales was 0.85 (self-care maintenance) and 0.88 (self-care management). Cronbach alpha coefficient of the self-care monitoring scale was 0.88. Test-retest reliability was 0.81 (self-care maintenance), 0.91 (self-care monitoring), and 0.76 (self-care management). The General Self-Efficacy Scale was positively related to all three self-care scale scores: self-care maintenance r = 0.46, p < 0. 001, self-care monitoring r = 0.31, p < 0. 001, and self-care management r = 0.32, p < 0. 001. The positivity score was positively related to self-care maintenance (r = 0.42, p < 0. 001), self-care monitoring (r = 0.29, p < 0. 001), and self-care management (r = 0.34, p < 0. 001) scores. The perceived stress was positively related to the self-care management (r = 0.20, p < 0. 001) score. Conclusions The SCI is a theoretically based instrument designed to measure self-care in the general adult population. Preliminary evidence of validity and reliability supports its use in the general adult population.

Background: Sleep disturbance is one of the most common symptoms among heart failure patients. Sleep disturbance reduces quality of life and leads to higher rates of mortality. It may affect the ability of patients to perform adequate self-care. Although some research has evaluated the association between sleep quality and heart failure self-care, a synthesis of the most recent available evidence is lacking. Aims: This systematic review aimed to assess the association between sleep quality and self-care in adults with heart failure. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses methodology was used. Medline, CINAHL, PsycINFO and SCOPUS were searched. Observational, case-control and cohort studies were considered. The quality of the studies was evaluated with the Joanna Briggs Institute’s Critical Appraisal Tools. Results: Six articles were included. Association between sleep quality and self-care was reported by three studies. One of these did not find an association between sleep disturbance and heart failure self-care, while the other two studies did. An association between sleep quality and medication adherence was reported by three studies. All three of these studies found associations between these two variables. Studies have measured similar but different constructs. Two studies assessed sleep quality, while four other studies measured excessive daytime sleepiness. Half of the studies examined self-care, while the other half measured medication adherence. Conclusions: Although the evidence should be strengthened, sleep quality seems to affect self-care in heart failure patients. The mechanism underlying the effect of sleep quality on heart failure self-care remains unclear. Future longitudinal interaction analyses could be useful to clarify this mechanism.

Purpose Anxiety, depression, poor sleep quality and lower quality of life (QOL) are associated with worse outcomes in heart failure (HF) patients. Motivational interview (MI) has been effective in different patient populations to promote self-care. However, its effect on anxiety, depression, sleep quality and QOL in HF patients is unknown. The aim of this study was to evaluate the effect of MI on anxiety, depression, sleep quality and QOL over 12 months from the intervention. Methods This was a planned, secondary outcome analysis of the MOTIVATE-HF study, a three-arm randomized controlled trial (1:1:1) evaluating the effect of MI in improving self-care in HF patients. In Arm 1, the patient received MI, while in Arm 2, the patient and the caregiver received MI. Arm 3, the control group, received standard treatment. Endpoints were evaluated with the Hospital Anxiety and Depression Scale (HADS), the Pittsburgh Sleep Quality Index (PSQI), the 12-Item Short-Form Health Survey (SF-12) and the Kansas City Cardiomyopathy Questionnaire (KCCQ) every three months for one year. Results We enrolled and randomized 510 HF patient and caregiver dyads (155 dyads in Arm 1, 177 dyads in Arm 2, and 178 dyads in Arm 3). A total of 238 HF patients and 235 caregivers completed the 12-month trial. No significant changes were seen in anxiety, depression and sleep quality over time among the three study arms, but disease-specific QOL improved in the intervention groups, especially in Arm 2. Conclusion Clinicians may want to include both patients and caregivers when providing MI interventions. Further research is needed to investigate the required intensity of MI to be effective on sleep quality, anxiety and depression (ClinicalTrials.gov Identifier: NCT02894502).

Background The COVID-19 pandemic has spread widely among healthcare workers. Recently, new effective vaccines against COVID-19 have begun to be administered to healthcare workers in several countries, including Italy. Purpose Our aim was to evaluate the intentions to be vaccinated against COVID-19 in a population of nursing students, identifying factors associated with the intentions. Method We conducted an anonymous online survey among 728 nursing students. The questionnaire collected data on demographic and academic characteristics, health status, vaccine attitudes, and specific reasons regarding the intention to get or not get the COVID-19 vaccination. Results A total of 422 nursing students completed the survey. Almost 81% of participants wanted to take the vaccine against coronavirus. The intention to adhere to the vaccination program was associated with male gender, a previous flu vaccine uptake, and high school education. The main reason in favor of taking the vaccine was to protect family and friends. The main reason for opposition was the fear of adverse events. Conclusion It is fundamental to consider vaccine hesitancy in healthcare students and face it properly, since these are the healthcare workers of the future who will have to provide recommendations to patients and promote adherence to vaccination programs.

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