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Showing 3 results for Emergency
M Lesaei, Akram Ghanbari, Rahim Akrami, Zahra Estaji, Volume 4, Issue 3 (10-2019)
Abstract
Background : The number of elderly people admitted through the emergency department is rapidly increasing, which has a significant and serious impact on emergency care and costs. In order to identify correctly and preventively the elderly who are at greater risk of being readmitted to the emergency wards, we examined the validity of the ISAR tool in this area.
Methods: In this correlational study, 264 elderly men and women 60 years and older who were discharged from the Emergency wards of “Vasei”, “Emdad” and “Heshmatieh” Hospitals were studied. They were selected by random sampling in 1397 and were included in the study and followed for 3 months. Data were collected using demographic questionnaire and ISAR tool and analyzed by SPSS v.19 software to evaluate the validity of the tool.
Results: The mean age of the sample group was approximately 72 years. The ISAR tool for predicting elderly re-admission one month after emergency discharge had 31% sensitivity and 88% specificity (PPV = 42%, NPV = 82%, AUC = 59%), two months after had 36% sensitivity and 85% specificity (PPV = 43%, NPV = 81%, AUC = 0.60) and three months after had 58% sensitivity and 77% specificity (PPV = 52%, NPV = 81%, AUC = 0.67).
Conclusion: Our study showed that the ISAR tool lacked validity to predict elderly re-admission in the short-term after discharge from emergency wards (1to3months).
H Asadi , Aghil Habibi Sola, Mahnaz Davari, Volume 5, Issue 2 (5-2020)
Abstract
Introduction: Most older people suffer from chronic illnesses and disabilities and receive health care. Healthcare providers have different attitudes toward the elderly. such an attitude can impact providing effective services to them. This study investigated the attitudes of nurses working in educational hospitals ardabil University of Medical Sciences toward the elderly in 2019.
Methods:This was a descriptive cross-sectional study conducted in 2019 in ardabil educational hospitals on 164 nurses selected. The sampling method was performed by census. The research instrument used in this study was a demographic information questionnaire and Kogan attitude questionnaire for the elderly. Data were analyzed using descriptive statistics, t-test and analysis of variance in Spss software version 22.
Results:In this study, 138 nurses (84/15%) had positive attitudes toward the elderly. According to the findings, the highest percentage of positive attitude was in the age range of 31-40 and the lowest was in the age range of ≥41years. men were more likely to have a positive attitude toward the elderly than women and there was a correlation betweenmen and positive attitudes toward the elderly
Conclusion:The attitude of nurses working in the emergency department towards the elderly is positive. however, because of their high contacts with old people, this attitude score is not enough. the obtained results can be used as a basis for developing programs of attitude promotion towards the elderly in future studies.
Hosein Asadi, Aghil Habibi Soola, Sohrab Iranpour, Volume 6, Issue 2 (8-2021)
Abstract
Introduction: Frailty is a prevalent aging syndrome that causes adverse health outcomes in the elderly. Socioeconomic status and chronic illness may increase the risk of frailty syndrome. The aim of this study was to Prevalence of Frailty and Related Factors in the Elderly Referred to the Emergency Department of Ardabil Medical Education Centers in 2020.
Methods: In this descriptive cross-sectional study, 505 elderly people referred to the emergency department were selected by the available sampling method. frailty syndrome was assessed using the five criteria of Fried Which included: 1) unintentional weight loss, 2) exhaustion, 3) slow walking, 4) physical activity, and 5) weakness. Chronic diseases were assessed self-report. Polypharmacy considered the use of 5 or more drugs. Data were analyzed using descriptive statistics including mean, standard deviation, and inferential including analysis of variance, independent t-test, chi-square and linear regression using SPSS 22 statistical software.
Results: The mean age of participants was 70/91±7/49. 255 (50.5%) were male, 318 (63%) were married and 271 (53.7%) were illiterate. 204 (40.4%) of the elderly who referred to the emergency department were frailty and 161 (78.9) elderly people with frailty had hypertension. The variables of age, education, family composition, heart disease, hypertension, hospitalization, and fall were predictors of frailty syndrome in the elderly referred to the emergency department.
Conclusions: By identification of frailty syndrome and appropriate intervention based on predictive factors such as age, education, family composition, heart disease, hypertension, hospitalization, polypharmacy and fall can reduce the adverse health outcome of frailty syndrome
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