37 research outputs found
Trends and variability of implicit rationing of care across time and shifts in an acute care hospital : a longitudinal study
The proposed study was funded for 2 years (2018‐2020) by the Medical Practice Plan, Faculty of Medicine, American University of Beirut, Lebanon.Background Implicit rationing of nursing care is associated with work environment factors. Yet a deeper understanding of trends and variability is needed. Aims To explore the trends and variability of rationing of care per shift between individual nurses, services over time, and its relationship with work environment factors. Methods Longitudinal study including 1,329 responses from 90 nurses. Intraclass correlation coefficients (ICC) were computed to examine variability of rationing per shift between individual nurses, services, and data collection time; generalized linear mixed models were used to explore the relationship with work environment factors. Results Percentage of rationing of nursing activities exceeded 10% during day and night shifts. Significant variability in rationing items was observed between nurses, with ICCs ranging between 0.20 and 0.59 in day shifts, and between 0.35 and 0.85 in night shifts. Rationing of care was positively associated with nurses’ self‐perceived workload in both shifts, but not with patient‐to‐nurse ratios. Conclusion Most variability in rationing over time was explained by the individual.PostprintPeer reviewe
Experiences and Health Outcomes of Emerging Adults with Type 1 Diabetes: A Mixed Methods Study
Background Emerging adults with type 1 diabetes are at risk of poorer diabetes-related health outcomes than other age groups. Several factors affecting the health and experiences of the emerging adults are culture and healthcare specific.Objectives The aim of this study was to explore the experience of emerging adults living with type 1 diabetes in Lebanon, describe their diabetes self-care and diabetes-related health outcomes (HbA1c and diabetes distress), and identify the predictors of these outcomes.Methods A convergent mixed methods design was used with 90 participants aged 18-29 years. Sociodemographic, clinical data, and measures of diabetes distress, social support, and self-care were collected. Fifteen emerging adults participated in individual semi-structured interviews. Multiple linear regression was used to determine predictors of diabetes outcomes. Thematic analysis was used to analyze qualitative data. Data integration was used to present the mixed methods findings.Results The study sample had a mean HbA1c of 7.7% (SD = 1.36) and 81.1 % reported moderate to severe diabetes distress levels. The participants had good levels of diabetes self-care and high levels of social support. HbA1c was predicted by insulin treatment type, age at diagnosis, and diabetes self-care; while diabetes distress was predicted by diabetes knowledge, blood glucose monitoring approach, and diabetes self-care. “Living with type 1 diabetes during emerging adulthood: the complex balance of a chemical reaction” was the overarching theme of the qualitative data, with three underlying themes: “Breaking of bonds: changes and taking ownership of their diabetes”, “The reactants: factors affecting the diabetes experience”, and “Aiming for equilibrium”. The integrated mixed methods results revealed one divergence between the qualitative and quantitative findings related to the complexity of the effect of received social support.Discussion The suboptimal health of the emerging adults despite good self-care highlights the importance of addressing cultural and healthcare specific factors such as diabetes knowledge and public awareness, social support, and availability of technology to improve diabetes health. Findings of this study can guide future research, practice, and policy development
Pain in elderly people with severe dementia: A systematic review of behavioural pain assessment tools
BACKGROUND: Pain is a common and major problem among nursing home residents. The prevalence of pain in elderly nursing home people is 40–80%, showing that they are at great risk of experiencing pain. Since assessment of pain is an important step towards the treatment of pain, there is a need for manageable, valid and reliable tools to assess pain in elderly people with dementia. METHODS: This systematic review identifies pain assessment scales for elderly people with severe dementia and evaluates the psychometric properties and clinical utility of these instruments. Relevant publications in English, German, French or Dutch, from 1988 to 2005, were identified by means of an extensive search strategy in Medline, Psychinfo and CINAHL, supplemented by screening citations and references. Quality judgement criteria were formulated and used to evaluate the psychometric aspects of the scales. RESULTS: Twenty-nine publications reporting on behavioural pain assessment instruments were selected for this review. Twelve observational pain assessment scales (DOLOPLUS2; ECPA; ECS; Observational Pain Behavior Tool; CNPI; PACSLAC; PAINAD; PADE; RaPID; Abbey Pain Scale; NOPPAIN; Pain assessment scale for use with cognitively impaired adults) were identified. Findings indicate that most observational scales are under development and show moderate psychometric qualities. CONCLUSION: Based on the psychometric qualities and criteria regarding sensitivity and clinical utility, we conclude that PACSLAC and DOLOPLUS2 are the most appropriate scales currently available. Further research should focus on improving these scales by further testing their validity, reliability and clinical utility