IntroductionIn order to avoid unnecessary hospital admission and associated complications, there is an urgent need to improve the early detection of infection in nursing home residents. Monitoring signs and symptoms with checklists or aids called decision support tools may help nursing home staff to detect infection in residents, particularly during the current COVID-19 pandemic.We plan to conduct a survey exploring views and experiences of how infections are detected and managed in practice by nurses, care workers and managers in nursing homes in England and Sweden.Methods and analysisAn international cross-sectional descriptive survey, using a pretested questionnaire, will be used to explore nurses, care workers and managers views and experiences of how infections are detected and managed in practice in nursing homes. Data will be analysed descriptively and univariate associations between personal and organisational factors explored. This will help identify important factors related to awareness, knowledge, attitudes, belief and skills likely to affect future implementation of a decision support tool for the early detection of infection in nursing home residents.Ethics and disseminationThis study was approved using the self-certification process at the University of Surrey and Linköping University ethics committee (Approval 2018/514-32) in 2018. Study findings will be disseminated through community/stakeholder/service user engagement events in each country, publication in academic peer-reviewed journals and conference presentations. A LAY summary will be provided to participants who indicate they would like to receive this information.This is the first stage of a plan of work to revise and evaluate the Early Detection of Infection Scale (EDIS) tool and its effect on managing infections and reducing unplanned hospital admissions in nursing home residents. Implementation of the EDIS tool may have important implications for the healthcare economy; this will be explored in cost–benefit analyses as the work progresses.
Background Positive and professional attitude of health professionals toward the palliative care issues of patients is crucial and challenging for fresh graduates. This study aimed to explore the perspectives of health science graduates about providing care for dying patients and their families. Methods In this cross-sectional study, graduates of the College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Saudi Arabia ( n = 113) have participated. The FATCOD -B scale was used to measure the attitude of health science graduates toward the care of patients and their families on a 5-point Likert scale. Data was collected through survey research forms. Results Significant associations of graduates’ attitude toward care of the dying patient with age, department, religious beliefs, education and experience ( p = .05) were found. On the scale of caring for the dying patients’ families, religious beliefs and education ( p = .05) were significant. Furthermore, multiple linear regression confirmed the predictive relationship of religious beliefs, education, and experience (R2 = .342, F = 11.021, p = .000) with graduates’ attitudes toward patient care. In comparison, education (R2 = .068, F = 1.541, p = .183) was the predictor of participants’ attitudes towards care of the patients’ families. Conclusion There is a dire need to focus on palliative care in the formal curriculum for all the health sciences disciplines. It is highly recommended to utilize case scenarios and simulation practice skills during the academic year to prepare students before the internship year. On-job counselling sessions can be helpful to increase the positive attitude of young Health graduates while working with dying patients and their families.
IntroductionMany noninfectious pulmonary complications occur immediately within the first few weeks after allogeneic hematopoietic stem cell transplantation (allo-HSCT). This study aimed to evaluate the efficacy of chest physical therapy (CPT) performed during the pre-transplant period on spirometric values and respiratory muscle strength (RMS) in patients waiting for allo-HSCT.Material and methodsFifty patients aged 40 to 55 years who were scheduled for allo-HSCT were randomly allocated into two equal-sized groups, a CPT group and a control group. The CPT group (n = 25) received CPT in addition to routine medical treatment, while the control group (n = 25) received routine medical treatment only. Patients in both groups received standard physical therapy during the inpatient waiting period. Interventions were conducted daily for three weeks before allo-HSCT. Pulmonary function (FEV1, FVC, and FEV1/FVC) was measured by spirometry, and RMS was measured by a respiratory pressure meter. A baseline assessment was done three weeks before allo-HSCT (T0), then at the end of treatment immediately before allo-HSCT (T1) and the last assessment at three weeks after allo-HSCT (T2) for all measured variables.ResultsIn comparing the two groups at T1 and T2, the mean spirometric values and RMS; maximal inspiratory pressure, and maximal expiratory pressure were all improved significantly in the CPT group in comparison with the control group (p < 0.05).ConclusionsAdding a 3-week CPT intervention to the pre-transplant rehabilitation program seems to be effective and safe for allo-HSCT recipients, as it improves pulmonary function and respiratory muscle strength pre-transplant and prevents their decrease post-transplant.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.