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Although the incidence of suicide attempts continues to increase among youth in Saudi Arabia, no risk assessment tool has been established for suicide attempt repetition in the country's youth population. The objective of the study was to develop risk assessment of suicide attempt repetition among youth in Saudi Arabia. This is a retrospective study of youth (10-24 years) with intentional suicide attempt(s) who presented to the emergency departments (ED) at King Abdullah Specialist Children's Hospital (KASCH) and King Abdulaziz Medical City-Riyadh (KAMC-R), Saudi Arabia between 1 January 2015 and 31 December 2017. We excluded youth having unintentional suicide attempts. Data were retrieved for the 157 eligible as having attempted suicide. Forty-one of 157 (26.1%) had repeated suicide attempts (95% confidence limits: 19.433.7%). Four independent factors were identified that were associated with an increased risk of repeated suicide attempts: age (adjusted odds ratio [aOR] = 1.147, 95% confidence interval (CI) = 11.015-1.297, P=0.028), family problems (aOR = 4.218, 95% CI = 1.690-10.528, P=0.002), psychiatric disorders (aOR = 3.497, 95% CI = 1.519-8.051, P=0.003), and hospitalization (aOR = 5.143, 95% CI = 1.421-18.610, P=0.013). This risk model showed adequate utility with an area under the receiver operating characteristic (ROC) curve (AUC): 77.9%, 95% CI: 69.486.3% with optimism-corrected AUC = 71.8%. Youden index defined a probability of ≥0.38 to predict a high risk of repeated suicide attempts. The risk of repeated suicide attempts among Saudi youth was high, compatible with what has been reported among youth in England and in France. Age, family problems, psychiatric disorders, and hospitalization are risk factors for repeated suicide attempts. A prevention program for suicide attempts in youth may take into account family problems, screening for psychiatric disorders, and suicidal behavior.

Background During the month of Ramadan, Muslims abstain from daytime consumption of fluids and foods, although some high-risk individuals are exempt. Because fasting's effects on the risk of acute kidney injury (AKI) have not been established, this study assesses the relationship between fasting and risk of AKI and identifies patients at high risk. Methods A single-center, retrospective, propensity-score matched, cohort study was conducted with data collected from adult patients admitted to the emergency room during Ramadan and the following month over two consecutive years (2016 and 2017). AKI was diagnosed based on the 2012 definition from the Kidney Disease: Improving Global Outcomes clinical practice guideline. Multivariable logistic regression analyses were used to examine the correlation and measure the effect of fasting on the incidence of AKI, and assess the effect of different variables on the incidence of AKI between the matching cohorts. Results A total of 1199 patients were included; after matching, each cohort had 499 patients. In the fasting cohort, the incidence of AKI and the risk of developing AKI were significantly lower (adjusted odds ratio (AOR) 0.65;95% confidence interval (CI) 0.44–0.98). The most indicative risk factors for AKI were hypertension (AOR 2.17; 95% CI 1.48–3.18), history of AKI (AOR 5.05; 95% CI 3.46–7.39), and liver cirrhosis (AOR 3.01; 95% CI 1.04–8.70). Patients with these factors or most other comorbidities in the fasting cohort had a lower risk of AKI as compared with their nonfasting counterparts. Conclusion The data show a strong reduction in the risk of developing AKI as a benefit of fasting, particularly in patients with comorbid conditions. Therefore, most patients with comorbid conditions are not harmed from fasting during Ramadan. However, larger prospective studies are needed to investigate the benefit of fasting in reducing the risk of developing AKI.

This study aimed to determine the rate of telemedicine (TM) use and the levels of awareness, knowledge, attitude, and skills of TM among primary healthcare (PHC) providers. In a cross-sectional study, 104 PHC providers were subjected to a validated AKAS scale via Survey Monkey. The tool consists of 4 parameters that users can respond to using a 4-point Likert scale to assess their awareness (12 statements), knowledge (11 statements), attitude (11 statements), and skills (13 statements) on TM. Total and percentage mean scores (PMS) were calculated for each parameter. Participants were categorized in each parameter into three categories: low (≤ 49% score), average (50-70% score), and high (≥ 71% score) levels. The association of AKAS levels with personal characteristics and TM use was investigated. The significance was set at p<0.05. One-half of participants (51%) reported current use of TM, and two-thirds (63.5%) reported a high level of AKAS, with a PMS of 72.9±14.7, 95% CI: 70.1-75.7. There were significant associations between the following: years of experience and levels of knowledge (Χ = 6.77, p= 0.009) and skills (Χ = 4.85, p = 0.028), respectively; and total household income and levels of skills (Χ = 6.91, p= 0.009). The rate of TM use was significantly associated with awareness levels (Χ = 6.14, p = 0.013). Lack of training ranked as the first barrier (45.5%), followed by connection problems and tools' unavailability (35.1% each). The participants recommended providing TM training (41.1%) and stabilization of connection and networking signals (30.1%). Despite their high level of TM awareness, the rate of TM use by PHC providers is less than satisfactory. Establishing standardized TM training and supporting the network signals are recommended. A large-scale study on the impact of TM integration with PHC services is necessary.

Background Research evidence exists that poor prognosis is common in Middle East respiratory syndrome coronavirus (MERS‐CoV) patients. Objectives This study estimates recovery delay intervals and identifies associated factors in a sample of Saudi Arabian patients admitted for suspected MERS‐CoV and diagnosed by rRT‐PCR assay. Methods A multicenter retrospective study was conducted on 829 patients admitted between September 2012 and June 2016 and diagnosed by rRT‐PCR procedures to have MERS‐CoV and non‐MERS‐CoV infection in which 396 achieved recovery. Detailed medical charts were reviewed for each patient who achieved recovery. Time intervals in days were calculated from presentation to the initial rRT‐PCR diagnosis (diagnosis delay) and from the initial rRT‐PCR diagnosis to recovery (recovery delay). Results The median recovery delay in our sample was 5 days. According to the multivariate negative binomial model, elderly (age ≥ 65), MERS‐CoV infection, ICU admission, and abnormal radiology findings were associated with longer recovery delay (adjusted relative risk (aRR): 1.741, 2.138, 2.048, and 1.473, respectively). Camel contact and the presence of respiratory symptoms at presentation were associated with a shorter recovery delay (expedited recovery) (aRR: 0.267 and 0.537, respectively). Diagnosis delay is a positive predictor for recovery delay (r = .421; P = .001). Conclusions The study evidence supports that longer recovery delay was seen in patients of older age, MERS‐CoV infection, ICU admission, and abnormal radiology findings. Shorter recovery delay was found in patients who had camel contact and respiratory symptoms at presentation. These findings may help us understand clinical decision making on directing hospital resources toward prompt screening, monitoring, and implementing clinical recovery and treatment strategies.

In the medical field, patient safety is a major concern. Healthcare professionals are expected to improve patient-centered care quality and reduce unintentional patient harm in order to improve patient safety.The aim of the study: to investigate healthcare providers' understanding of the patient safety culture. And factor influencing it.Method: A cross-sectional quantitative design was used in this investigation. It took place in a Saudi Arabian. In this investigation, a random sample strategy was used. There were 467 participants in the study. Target population was the all healthcare providers including; general practitioner; anesthetist, technical anesthesia; nurses in inpatient, outpatient and operating room too. Healthcare professionals working in the three hospital (clinical and non-clinical) were eligible to participate, and participants had to be at least 20 years old and have a diploma or higher in education. Healthcare professionals who do not work in the three hospital, participants under the age of 20, and participants with less than a diploma were among the exclusion criteria.To get the necessary information, a genuine and trustworthy questionnaire was employed. ANOVA and the T-tests. Regression was also applied.Result: According to the report, healthcare providers have a moderate understanding of patient safety culture. Additionally, the results showed that the \"31–40\" age group had statistically different awareness levels than the \"over 50 years old group\" (p = 0.012). Furthermore, this study discovered that while position and work location have little bearing on healthcare professionals' understanding of patient safety culture, gender and education have a substantial impact. Faster reaction plans should be created by managers in healthcare facilities and included into the patient safety culture.Conclusion: Patient safety should be given more consideration by nursing schools that offer undergraduate and graduate degrees. To enhance the patient safety culture, the public and private healthcare sectors should provide ongoing training to healthcare professionals on patient safety protocols. To prevent them in the future, healthcare professionals should be urged to report mistakes occurring during diagnosis or treatment.

Background: This study aimed to determine the rate of telemedicine (TM) use and the levels of awareness, knowledge, attitude, and skills of TM among primary healthcare (PHC) providers. Methods: In a cross-sectional study, 104 PHC providers were subjected to a validated AKAS scale via Survey Monkey. The tool consists of 4 parameters that users can respond to using a 4-point Likert scale to assess their awareness (12 statements), knowledge (11 statements), attitude (11 statements), and skills (13 statements) on TM. Total and percentage mean scores (PMS) were calculated for each parameter. Participants were categorized in each parameter into three categories: low ([less than or equal to] 49% score), average (50-70% score), and high ([greater than or equal to] 71% score) levels. The association of AKAS levels with personal characteristics and TM use was investigated. The significance was set at p<0.05. Results: One-half of participants (51%) reported current use of TM, and two-thirds (63.5%) reported a high level of AKAS, with a PMS of 72.9[+ or -]14.7, 95% CI: 70.1-75.7. There were significant associations between the following: years of experience and levels of knowledge ([X.sup.2.sub.LT] = 6.77, p= 0.009) and skills ([X.sup.2.sub.LT] = 4.85, p = 0.028), respectively; and total household income and levels of skills ([X.sup.2.sub.LT] = 6.91, p= 0.009). The rate of TM use was significantly associated with awareness levels ([X.sup.2.sub.LT] = 6.14, p = 0.013). Lack of training ranked as the first barrier (45.5%), followed by connection problems and tools' unavailability (35.1% each). The participants recommended providing TM training (41.1%) and stabilization of connection and networking signals (30.1%). Conclusion: Despite their high level of TM awareness, the rate of TM use by PHC providers is less than satisfactory. Establishing standardized TM training and supporting the network signals are recommended. A large-scale study on the impact of TM integration with PHC services is necessary. Keywords: telehealth, telecommunication, e-medicine, e-health integration, universal health coverage, Saudi, PHCs