The identified tools do not demonstrate predictive values as high as needed for identifying older inpatients at risk for falls. For this reason, no tool can be recommended for fall detection. More research is needed to evaluate fall risk screening tools for older inpatients.

The complexity of chronic obstructive pulmonary disease (COPD) can negatively impact the lives of people with the condition and compromise their capacity to take care of their needs. Unmet needs can then lead to significant morbidity, unpleasant emotional experiences and a poor quality of life; thus this systematic review aimed to identify, evaluate and synthesise the qualitative literature on the unmet needs of people with COPD. A qualitative meta-synthesis was performed according to the Joanna Briggs Institute method. A systematic search of five databases was conducted, searching for articles published from January 1995 to May 2017. Eight papers were identified. Two researchers extracted the data and independently assessed their quality. The total sample of people with COPD included was 108. Nine categories were derived from 49 findings, and aggregated into three synthesised findings: (1) people with COPD have unmet needs regarding information about the disease; (2) people with COPD have unmet physical, emotional and social needs, due to the disease symptoms and treatments; and (3) people with COPD have unmet care needs. This review showed qualitative evidence regarding the dimensions in which people with COPD express their unmet needs. The needs that are mainly unsatisfied include physical, psychosocial, informational and practical aspects, as well as the need for healthcare professional care. A global approach, which includes the areas identified by our findings, could lead to an improvement in the care of people with COPD and could improve the self-care management of those individuals who do not correctly identify their needs.

This meta-synthesis provides evidence on the self-care behaviours and strategies that people with COPD perform to prevent, control and manage the physical, psychological and social consequences of the disease. The findings of this meta-synthesis could help healthcare professionals to tailor self-care educational programmes to the experiences, preferences and priorities of people with COPD.

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This study developed two instruments, the Self-Care in Chronic Obstructive Pulmonary Disease (COPD) Inventory (SC-COPDI) and the COPD-Self-Care Self-Efficacy Scale (SCES), and tested their psychometric properties on a convenience sample of 498 patients from Northern, Central, and Southern Italy. First, the domains and the items of the SC-SCOPDI were generated based on the middle-range theory of self-care of chronic illness, comprising the dimensions of self-care maintenance, self-care monitoring, and self-care management, and the SCES-COPD was developed accordingly. Second, we assessed the content validity of each scale. Third, we conducted a multicenter cross-sectional study to test their structural validity, convergent and discriminative validity, internal consistency, and test–retest reliability. The theoretical dimensions of the two instruments were confirmed through confirmatory factor analysis. Convergent validity was demonstrated by the correlation among the three self-care scales and the Self-Efficacy Scale, and discriminative validity by higher self-care scale scores in individuals with greater COPD severity and poorer health status. The global reliability index ranged from .78 to .92 for all scales. The intraclass correlation coefficients were higher than .70. Further studies are needed to confirm the psychometric properties of the two instruments in different COPD populations and countries to extend their use in clinical practice.

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Aim: To explore predictors of perceived nursing workload in relation to patients, nurses and workflow.Background: Nursing workload is important to health care organisations. It determines nurses' well-being and quality of care. Nevertheless, its predictors are barely studied.Methods: A cross-sectional prospective design based on the complex adaptive systems theory was used. An online survey asked nurses to describe perceived workload at the end of every shift. Data were gathered from five medical-surgical wards over three consecutive weeks. We received 205 completed surveys and tested multivariate regression models.Results: Patient acuity, staffing resources, patient transfers, documentation, patient isolation, unscheduled activities and patient specialties were significant in predicting perceived workload. Nurse-to-patient ratio proved not to be a predictor of workload.Conclusions: This study significantly contributed to literature by identifying some workload predictors. Complexity of patient care, staffing adequacy and some workflow aspects were prominent in determining the shift workload among nurses.Implications for nursing management: Our findings provide valuable information for top and middle hospital management, as well as for policymakers. Identification of predictors and measurement of workload are essential for optimizing staff resources, workflow processes and work environment. Future research should focus on the appraisal of more determinants.

Introduction: Work contexts can affect nurses’ work and work outcomes. Work context factors of nurses, patients, or workflow can modulate nurses’ organization of work and determine increased workloads. Aim: The aim of this research was to analyze relationships between factors regarding the patient, the nurse, workflow, and nurses’ work organization, to investigate whether work organization is related to physical, mental, and emotional workloads, and to explore whether one dimension of workload influences the other dimensions. Methods: We used a cross-sectional design based on the Job Demand-Resources theory. We asked registered nurses, working in nine medical-surgical wards across three hospitals in Italy, to self-report on work organization and workloads regarding randomized shifts over three consecutive weeks. Four scales from the QEEW 2.0 questionnaire were used on an online survey for data collection. multivariable linear regressions with structural equation modelling were tested. The study was approved by the three local Ethics Committees. Results: We received 334 questionnaires regarding 125 shifts worked. Patient complexity (β = 0.347), patient specialties (β = 0.127), adequacy of staffing (β = −0.204), collaboration with colleagues (β = −0.155), unscheduled activities (β = 0.213), supply search (β = 0.141), and documentation (β = 0.221) significantly influenced nurses’ work organization. Nurses’ work organization was significantly related to physical, mental, and emotional nursing workloads. Conclusions: the patient, the nurse, and workflow aspects influence nurses’ work organization and workloads. Healthcare organizations, managers, and nurses should explore work settings to identify work turbulences early and implement strategies to improve nursing work conditions and workloads.