Attitude of Academic Ambulatory Nurses toward Patient Safety Culture in Saudi Arabia

Patient safety issues in Saudi Arabia have received increasing attention. Pressures to improve patient safety within academic healthcare settings are gaining momentum daily. Health care organization providers and policy makers continually strive to promote patient safety culture. The purpose of this study was to examine the nurses’ attitude toward patient safety culture in academic ambulatory healthcare settings in Saudi Arabia. Methods: A cross-sectional correlational descriptive design, using the Safety Attitude Questionnaire Ambulatory version (SAQ-A), was carried out in year 2010. The survey was distributed to four ambulatory academic departments, which included medical, surgical, obstetrics/gynecological, and pediatric in Riyadh. All 250 available (not on vacation or deployed out of the area) ambulatory care staff nurses and nurse managers were recruited yielding 221 responses with a response rate of 88%. Results: The highest positive attitudes were toward job satisfaction and the work experience. Working conditions and the quality of the work environment and its logistical support received the second highest positive attitudes. However, the quality of collaboration between personnel and the proactive organizational commitment to safety had the lowest positive attitudes among nurses. Strong significant relationship was indicated between job satisfaction among nurses and work conditions. Statistically significant differences in mean scores were observed for registered nurse toward stress recognition and acknowledgement of the effects of stress on patient safety than nurse mangers. Recommendations: Enhancing the quality of collaboration between personnel and the proactive organizational commitment to safety may promote safety culture in academic care settings. Assessment of workplace safety culture is the first step in identifying barriers that nurses face to provide safe patient care. Improving safety culture attitudes in academic settings can take a considerable amount of effort and resources

Grandparents’ Mental Health and Lived Experiences while Raising Their Grandchildren at the Forefront of COVID-19 in Saudi Arabia

Understanding grandparents’ lived experiences and healthy aging is essential to designing efficient, effective, and safe services to support a family structure in which grandparents care for their grandchildren. However, no study to date has explored this concept in an Arab and Muslim country during a pandemic. The purpose of this study was to examine grandparents’ experiences raising their grandchildren to provide recommendations for needed mental health interventions during and after COVID-19. We used a phenomenological approach to gain a detailed and in-depth understanding of the lived experiences of 15 grandparents caring for their grandchildren. This study shows the need for support service interventions (support groups, health professional support, and respite care) for grandparents in Saudi Arabia, especially during global crises like COVID-19, that enhance social distance and social isolation. Raising grandchildren affects the physical, mental, and social wellbeing of the grandparents

A cross-sectional study of trauma certification and hospital referral region diversity: A system theory approach

Background: There are clear racial/ethnic disparities in the trauma care service delivery. However, no study has examined the relationships between structural determinants of trauma care designations (L-I through L-IV) or verification and social factors of the surrounding health region in the U.S. Objective: This study examined the relationship between U.S. community segregation in a hospital referral region (HRR) and hospitals’ attainment of trauma certification and trauma designation L-I/II. Methods: Two-year retrospective analysis of 2,348 acute hospitals that participated in the Hospital Value-Based Purchasing (HVBP) Program. Multivariate Poisson and 1:2 matching ratio using Propensity Score Matching regressions were used. Our primary variables were composite segregation scores for each county—aggregated to the HRR level (n=303)—and hospital performance on the HVBP Program. Results: Segregated HRRs are 69% and 40% less likely to have an increase in the number of hospitals with trauma care designations L-I/II and trauma certification, respectively. Our matching ratio showed that hospitals with trauma certification or hospitals with trauma care designations L-I/II were more likely to be within HRRs with lower community diversity. Conclusion: Our findings highlight that system disparities exist in trauma care. Research is needed to determine if other factors, such as resource allocation and reimbursement distribution, impact the availability of trauma facilities

The work engagement of nurses in multiple hospital sectors in Saudi Arabia: A comparative study

Aim: To examine the differences in work engagement among nurses in Saudi Arabia and its relationship with personal characteristics across different hospital affiliations. Background: Quality care requires an adequate supply of engaged nurses who are dedicated, energised and absorbed in their work. In the nursing profession, work engagement is of considerable importance, owing to the shortage of nurses and the continuing reduction in healthcare costs. Method: An analytic comparative cross-sectional design was used. Eight hospitals from three provinces and different affiliation types participated in the study. The Utrecht work engagement scale (UWES) was used to measure 980 nurses\u27 work engagement. Results: The findings indicate that nurses\u27 total engagement scores were closer to the higher end of the Likert scale. The findings indicate generally high levels of work engagement, particularly regarding the element of dedication. Furthermore, the study shows significant differences in nurses\u27 engagement among the various work settings and in nurses\u27 age and experience. Conclusions: A number of nurses\u27 personal characteristics have independent influences on their work engagement. Implications for Nursing Management: Nurse leaders should acknowledge that a statement of professional nursing scope of practice is a necessity to encourage and fulfil engagement

The financial burden of opioid-related abuse among surgical and non-surgical patients in florida: A longitudinal study

Florida is one of the eight states labeled as a high-burden opioid abuse state and is an epicenter for opioid use and misuse. The aim of our study was to measure multi-year total room charges and costs billed for opioid abuse-related events and to compare the costs of inpatient opioid abusers and non-opioid abusers for Florida hospitals from 2011 to 2017. We constructed a retrospective case-control longitudinal study design on inpatient administrative discharge data across 173 hospitals. Opioid abuse was defined using both ICD-9-CM and ICD-10-CM systems. We found a statistically significant association between opioid abuse diagnosis and total room charge. On average, opioid abuse status increased the room charges by 8.1%. We also noticed year-to-year variations in opioid abuse had a remarkable influence on hospital finances. We showed that since 2015, the differences significantly increased from 4–5% to 13–14% for both room charges and cost, which indicates the financial burden due to opioid abuse becoming more frequent. These findings are important to policymakers and hospital administrators because they provide crucial insight into Florida’s opioid crisis and its economic burden on hospitals

Billiard based optimization with deep learning driven anomaly detection in internet of things assisted sustainable smart cities

Internet of Things (IoT) technology involves a network of interconnected devices and sensors that gather and exchange information. In smart cities, IoT devices were utilized in several fields including energy, transportation, waste management, healthcare, etc., to improve the overall quality of life and sustainability of the populace. But, as the usage of IoT increases, the cybersecurity and data privacy become a concern of safety. An anomaly detection system helps to identify possible data breaches or cyber-attacks by identifying abnormal data patterns. Deep learning (DL) driven anomaly detection has emerged as an effective and powerful method for identifying abnormal behaviours or patterns in the data domain. This technique leverages the abilities of a deep neural network for automated learning of complex patterns and representations from data, which make it better for anomaly detection task where irregularities cannot be easily defined by handcrafted rules. This paper establishes a new Billiard Based Optimization with Deep Learning Driven Anomaly Detection and Classification (BBODL-ADC) technique in IoT-assisted Sustainable Smart Cities. The goal of the BBODL-ADC technique lies in the proper recognition and classification of anomalies in the IoT-assisted smart city. To obtain that, the BBODL-ADC system applies a binary pigeon optimization algorithm (BPEO) algorithm for the effectual selection of features. Besides, the BBODL-ADC technique utilizes Elman recurrent neural network (ERNN) approach for the recognition and classification of anomalies. Moreover, the BBO system can be used for better parameters chosen by the ERNN algorithm. The stimulation value of the BBODL-ADC algorithm can be executed benchmark database. The achieved outcomes demonstrate the remarkable outcome of the BBODL-ADC methodology of 95.69% and 99.21% compared to existing models under dataset-1 and dataset-2