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The knowledge of variables associated with quality of life in women with nonvertebral fractures is poor. The aim of this study was to examine the independent associations between sociodemographic and clinical factors, self-care, and quality of life in this specific population. We undertook a 3-year multicenter longitudinal study on a cohort of Italian postmenopausal osteoporotic women with three follow-ups at 1, 3, and 6 months. Nurses asked women to complete questionnaires on quality of life and self-care. The sample (n = 532) had a mean age of 74.78 years. The results showed that women taking more than two medications per day (p = .026) and those with nine or more years of education (p = .036) were more likely to exhibit better quality of life levels (p < .001) than their counterparts. Both self-care and quality of life scores improved over time in all participants. This study shows positive independent associations between quality of life and polypharmacy, education, and self-care behaviors, which were improved by educational interventions to attain a better quality of life in our participants. [ABSTRACT FROM AUTHOR]

Aim: Patients with heart failure experience multiple co-occurring symptoms that lower their quality of life and increase hospitalization and mortality rates. So far, no heart failure symptom cluster study recruited patients from community settings or focused on symptoms predicting most clinical outcomes. Considering physical and psychological symptoms together allows understanding how they burden patients in different combinations. Moreover, studies predicting symptom cluster membership using variables other than symptoms are lacking. We aimed to (a) cluster heart failure patients based on physical and psychological symptoms and (b) predict symptom cluster membership using sociodemographic/clinical variables. Design: Secondary analysis of MOTIVATE-HF trial, which recruited 510 heart failure patients from a hospital, an outpatient and a community setting in Italy. Methods: Cluster analysis was performed based on the two scores of the Hospital Anxiety-Depression scale and two scores of the Heart-Failure Somatic Perception Scale predicting most clinical outcomes. ANOVA and chi-square test were used to compare patients' characteristics among clusters. For the predictive analysis, we split the data into a training set and a test set and trained three classification models on the former to predict patients' symptom cluster membership based on 11 clinical/ sociodemographic variables. Permutation analysis investigated which variables best predicted cluster membership. Results: Four clusters were identified based on the intensity and combination of psychological and physical symptoms: mixed distress (high psychological, low physical symptoms), high distress, low distress and moderate distress. Clinical and sociodemographic differences were found among clusters. NYHA-class (New York Heart Association) and sleep quality were the most important variables in predicting symptom cluster membership. Conclusions: These results can support the development of tailored symptom management intervention and the investigation of symptom clusters' effect on patient outcomes. The promising results of the predictive analysis suggest that such benefits may be obtained even when direct access to symptoms-related data is absent. Implications: These results may be particularly useful to clinicians, patients and researchers because they highlight the importance of addressing clusters of symptoms, instead of individual symptoms, to facilitate symptom detection and management. Knowing which variables best predict symptom cluster membership can allow to obtain such benefits even when direct access to symptoms-data is absent. Impact: Four clusters of heart failure patients characterized by different intensity and combination of psychological and physical symptoms were identified. NYHA class and sleep quality appeared important variables in predicting symptom cluster membership. Reporting Method: The authors have adhered to the EQUATOR guidelines STROBE to report observational cross-sectional studies. [ABSTRACT FROM AUTHOR]

Aims and Objectives: To explore the association between patient and caregiver depression and patient self‐care and caregiver contribution to self‐care in the context of ostomy care. Background: Self‐care is essential for ostomy patients and their caregivers. The ostomy self‐care process can be considered a dyadic phenomenon in which the patient and the caregiver interact together and work as a team. The presence of depressive symptoms may limit the patient's ability to perform self‐care and caregivers' abilities to engage in caregiving tasks. Research into the dyadic influence of depression on self‐care behaviours from the perspective of ostomates and their caregivers is still in its infancy. Design: Secondary analysis of a multicentre, cross‐sectional study. The STROBE checklist was used to report the present study. Methods: Patient–caregiver dyads were recruited from eight ostomy outpatient clinics from February 2017 to May 2018. Depression was assessed with the nine‐item Patient Health Questionnaire in both patients and caregivers. Patient self‐care was evaluated with the Ostomy Self‐Care Index, and caregiver contribution to self‐care was assessed with the Caregiver Contribution to Ostomy Self‐Care Index. Both instruments measure the dimensions of maintenance, monitoring and management. The actor–partner interdependence model was performed for the dyadic analysis. Results: In total, 252 patient–caregiver dyads (patients: 69.8% male, mean age 70.05; caregivers: 80.6% female, mean age 58.7) were enrolled. Patient depression was positively associated with caregiver contribution to self‐care maintenance. Caregiver depression was negatively associated with self‐care management. Relevance to Clinical Practice: These findings add a better understanding of the reciprocal influence of dyadic depression on patient and caregiver contributions to self‐care in ostomy contexts was found. Patient and caregiver depression influence patient self‐care and caregiver contribution to self‐care. Therefore, clinicians should assess and treat depression in both members of the dyad to improve self‐care. [ABSTRACT FROM AUTHOR]

Introduction: The COVID-19 pandemic has had a considerable impact on the psychological and psychopathological status of the population and health care workers in terms of insomnia, anxiety, depression, and post-traumatic stress disorder. The primary aim of this study was to describe and evaluate the impact of the pandemic on insomnia levels of a cohort of Italian nurses, particularly those involved in the care of COVID-19 patients. The secondary aim was to identify the interaction between insomnia and hardiness, anxiety, and sleep disturbances. Materials and Methods: A descriptive–exploratory study was conducted using an online survey during the first wave of the COVID-19 pandemic (March to July 2020). The questionnaire consisted of multiple-choice, open-ended, closed, and semi-closed questions. The psychometric tools administered were the Dispositional Resilience Scale (DRS-15), the State–Trait Anxiety Inventory (STAI-Y), and the Insomnia Severity Index (ISI). Results: a cohort of 1167 nurses fully completed the questionnaire (86.2% of total respondents). The insomnia scale survey showed an increase in post-pandemic scores compared to those before the pandemic, implying that insomnia levels increased after the first pandemic wave. Insomnia scores were directly correlated with anxiety levels (r = 0.571; p ≤ 0.05) and inversely correlated with hardiness levels (r = −0.324; p < 0.001). Multivariate analysis revealed the following protective factors: not having worked in COVID-19 wards, high levels of hardiness (commitment), and the presence of high pre-pandemic insomnia disorder. The main risk factor for insomnia reported in the analysis was a high anxiety score. Discussion and Conclusion: Anxiety represented the main risk factor for insomnia severity in our sample, while hardiness was confirmed as a protective factor. Thus, it is necessary to design further studies to identify additional risk factors for poor sleep quality and to develop educational courses and strategies aimed at enhancing rest and sleep quality, especially for frontline nurses. [ABSTRACT FROM AUTHOR]

Objectives: Family is a major source of support for older chronically-ill patients and known to be associated with better self-care. Depression and self-care self-efficacy are associated with healthy behaviors and thus may serve as mechanisms by which family support influences self-care. We explored depression and self-care self-efficacy as mediators of the relationship between perceived family support and self-care. Methods: Five hundred forty-one older adults with multiple chronic illnesses were recruited from outpatients and community settings. Three structural equation models (SEM) were fit on cross-sectional data. We measured perceived family support (subscale of the Multidimensional Scale of Perceived Social Support, scores range 1-7), depression (Patient Health Questionnaire, scores range 0-27), selfcare self-efficacy (Self-Care Self Efficacy Scale, standardized scores range 0-100), and self-care maintenance, monitoring, and management (Self-care of Chronic Illness Inventory, standardized scores range 0-100). Results: Participants (mean age = 76.6±7.3 yrs) were predominantly females (55.6%). In the full sample, depression and self-care self-efficacy mediated the relationship between perceived family support and self-care; in the gender-stratified SEM, men's depression was no longer a significant mediator. Depression and self-care self-efficacy were significant mediators of the relation between perceived family support and self-care. Conclusion: In older chronically-ill patients, interventions addressing perceived family support may facilitate a rapid improvement in self-care self-efficacy and a decrease in depressive symptoms, particularly among women. [ABSTRACT FROM AUTHOR]

Background: Motivational interviewing (MI) improves heart failure (HF) self-care for most yet fails to work for some patients. Identifying patients less likely to benefit from MI would save time in identifying a more suitable treatment for these patients. Objective: The aim of this study was to identify the characteristics of adults with HF less likely to clinically improve self-care after MI. Methods: This was a secondary intervention group analysis (n = 230) of MOTIVATional intErviewing to improve self-care in Heart Failure patients (MOTIVATE-HF), a trial evaluating MI in improving HF self-care maintenance and management. Self-care was measured with the Self-care of Heart Failure Index v. 6.2 at baseline and 3 months from enrollment. Participants were dichotomized into MI nonresponder (standardized score change <8 points) or MI responder (score change ≥8 points). Logistic regression, adjusted for group differences, identified determinants of nonresponse (odds ratio [95% confidence interval]). Results: Significant risk factors for self-care maintenance nonresponse 3 months after the intervention were nonischemic HF (2.58 [1.33–5.00], P =.005) and taking fewer medications (0.83 [0.74–0.93], P =.001). These variables explained 29.6% of the variance in HF self-care maintenance. Risk factors for self-care management nonresponse were living alone (4.33 [1.25–14.95], P =.021) and higher baseline self-care management (1.06 [1.02–1.09], P <.001), explaining 35% of the variance in HF self-care management. Conclusions: Motivational interviewing may be less beneficial in patients with nonischemic HF and taking fewer medications. Patients with HF living alone with relatively better self-care management may be at risk for MI treatment failure. Identifying characteristics of nonresponders to MI in HF contributes to clinical decision making and personalized interventions. [ABSTRACT FROM AUTHOR]

Aims and objectives: To describe caregiver contribution (CC) to ostomy self‐care and identify its associated variables among caregivers of ostomy patients. Background: Self‐care is essential for ostomy patients, but it can be difficult to perform. In these cases, caregivers play a key role in promoting self‐care behaviours. So far, the CC to ostomy self‐care has not been investigated thoroughly. Design: This is a cross‐sectional and multicentre study conducted at seven outpatient clinics of two Italian regions. Methods: We recruited 252 caregivers between February 2017–May 2018. The Caregiver Contribution to Ostomy Self‐Care Index (CC‐OSCI) was used to measure CC to ostomy self‐care. Three multivariable linear regression models were fitted to identify variables associated with CC dimensions (maintenance, monitoring and management). The STROBE checklist was used to report the present study. Results: The sample (mean age = 58.73, SD = 13.98) was mostly female (80.60%), unemployed (58.70%) and resided with the patient (81.00%). Caregivers being employed and those declaring more hours of contribution per week were associated with a significantly lower contribution to self‐care maintenance. Caregivers with lower levels of education and those residing with the patient were less likely to contribute to CC to self‐care monitoring. Spousal caregivers and those with higher preparedness contributed significantly lower to CC to self‐care management. Conclusions: We found a variety of sociodemographic factors associated with CC to ostomy self‐care. Relevance to clinical practice: Sociodemographic variables associated with CC to ostomy self‐care can help clinicians develop more tailored educational interventions for caregivers who find their contribution challenging. [ABSTRACT FROM AUTHOR]

Clinicians and researchers need valid and reliable instruments to evaluate heart failure (HF) self‐care. The Self‐Care of Heart Failure Index (SCHFI) is a theoretically driven instrument developed for this purpose. The SCHFI measures self‐care with three scales: self‐care maintenance, measuring behaviors to maintain HF stability; symptom perception, measuring monitoring behaviors; and self‐care management, assessing the response to symptoms. After the theory underpinning the SCHFI was updated, the instrument was updated to version 7.2 but it was only tested in the United States. In this study we tested the psychometric characteristics (structural and construct validity, internal consistency, and test–retest reliability) of the SCHFI v.7.2 in an Italian population of HF patients. We used a cross‐sectional design to study 280 HF patients with additional data collected after 2 weeks for test–retest reliability. Adults with HF (mean age 75.6 (±10.8); 70.8% in New York Heart Association [NYHA] classes II and III) were enrolled from six centers across Italy. Confirmatory factor analysis showed supportive structural validity in the three SCHFI v.7.2 scales (CFI from 0.94 to 0.95; RMSEA from 0.05 to 0.07). Internal consistency reliability estimated with Cronbach's α and composite reliability ranged between.73 and.88; test–retest reliability ranged between 0.73 and 0.92. Construct validity was supported with significant correlations between the SCHFI v.7.2 scale scores and quality of life, brain natriuretic peptide levels and NYHA class. This study further supports the psychometric characteristics of the SCHFI v.7.2, illustrating that it can be used in clinical practice and research also in an Italian population. [ABSTRACT FROM AUTHOR]

Aims: To investigate the relationship between depression and self‐care behaviours in older individuals with multimorbidity. Design: Cross‐sectional study. Data were collected between April 2017 – June 2019. Methods: Patients were enrolled from community and outpatient settings and included if they were ≥65 years, affected by heart failure, diabetes mellitus or chronic obstructive pulmonary disease and at least another chronic condition. They were excluded if they had dementia and/or cancer. Patient Health Questionnaire‐9 was used to measure depression and Self‐Care of Chronic Illness Inventory was used to measure self‐care maintenance, monitoring, and management. The relationship between depression and self‐care was evaluated by performing two sets of univariate analyses, followed by multivariate and step‐down analyses. The second set was performed to control for the number of chronic conditions, age, and cognitive function. Results: The sample (N = 366) was mostly female (54.2%), with a mean age of 76.4 years. Most participants (65.6%) had mild to very severe depressive symptoms. Preliminary analysis indicated a significant negative association between depression and self‐care maintenance and monitoring and a significant negative association between depression and multivariate self‐care. Step‐down analysis showed that self‐care maintenance was the only dimension negatively associated with depression, even after controlling for the number of chronic conditions, age, and cognitive function. Conclusion: In multimorbid populations, depression is more likely to be associated with self‐care maintenance than the other self‐care dimensions. Therefore, self‐care maintenance behaviours (e.g., physical activity and medication adherence) should be prioritized in assessment and focused on when developing interventions targeting depressed older adults with multimorbidity. Impact: The results of this study may help guide clinical practice. In patients with depressive symptoms, self‐care maintenance behaviours should be assessed first, as a potential first indicator of poor self‐care. [ABSTRACT FROM AUTHOR]

Inpatients with hematologic cancer (HC), particularly in an aging population, often require levels of nursing care that feel very demanding. Therefore, it is important to assess nursing complexity in this care environment. The purpose of this study is to assess nursing complexity of inpatients with HC. A prospective observational study was carried out on 131 patients admitted to an adult hematologic center in northern Italy. The following variables were analyzed by means of the Index of Caring Complexity (ICA): age, sex, diagnostic category, purpose of admission, presence of transplant, Charlson Comorbidity Index, and length of stay. A total sample of 131 patients were enrolled. Patients older than 65 years, with a history of transplant, admitted for complications, and with a diagnosis of myeloma or myelodysplasia had higher ICA scores. Therefore, patients in these groups are more likely to exhibit a higher nursing complexity than other patients. The study results can help health-care professionals identify, at an early stage, patients who need higher levels of nursing care; promote a more efficient allocation of nursing staff to the patient needs based on their group; and qualify the need for higher levels of nursing care in order to improve nursing care quality and achieve higher standards of care in Italian hematologic centers. [ABSTRACT FROM AUTHOR]