Effect of training after discharge on re-admission and re-hospitalization of patients with heart failure (randomized single-blind clinical trial)

    Discharge is the process of transferring a patient from hospital which involves a transfer of responsibility from inpatient service providers or hospitalist to the patient and primary care physicians. Inappropriate follow up after discharge will increase the risk of re-admission and re-hospitalization which leads to the poor performance of the health system. The aim of this study was to determine the effect of physician's caring after discharge on re-admission and referral to doctors.This study was conducted as a clinical trial on patients with early intervention for educational instruction. The clinical trial was conducted at a later stage on 120 patients with heart failure who were hospitalized in Taleghani Hospital, Tehran. For a period of five months after discharge, using block randomization, the subjects were divided into two groups, including intervention and control groups. At the time of discharge, the patients in the intervention group received instructions and were trained by physicians, while no intervention was applied for the subjects in the control group. In addition to demographic questions, the patients were asked about two main outcomes, i.e. "re-admission" and "referral to doctors".  To collect the required data, the subjects in both groups were contacted via telephone calls (nine times) every week in the first month after discharge and two times per week in the following two months. Generalized linear mixed effects model method was used for evaluating the effect of physicians caring after discharge on re-admission and re-hospitalization.The results of this study showed that with the passage of time (weekly) after discharge, there was a significant increase in the rate of re-admission in the control group, while there was no significant increase in re-hospitalization. There was no statistical evidence showing a significant difference between the rates of re-admission along with the time in the treatment intervals. In other words, the patients in the control group experienced a significant increase in the odds ratio of re-admission over the time. 

The Accuracy of GAP and MGAP Scoring Systems in Predicting Mortality in Trauma; a Diagnostic Accuracy Study

Introduction: Trauma scoring systems help physicians and nurses to be informed of injuries to a patient and assist their decision making in the cases of trauma and importantly prediction of their outcome and prognosis. Objective: This study aimed to compare the accuracy of GAP and MGAP scoring systems as predictors of mortality in trauma patients. Methods: This diagnostic accuracy study was conducted amongst 1861 trauma patients admitted to Rajaee Hospital in Shiraz, Iran, during 2017. The data on demographic features were extracted from the patients’ records. Then, trauma scoring systems including injury severity score (ISS), GAP, MGAP, and Glasgow coma scale (GCS) were compared to evaluate their accuracy in predicting mortality. Area under the receiver operating characteristic (ROC) curve was used to evaluate the accuracy of different trauma scoring systems and detect the sensitivity and specificity in order to predict status of discharge after 24 hours. Results: Based on the results, the area under the ROC curve was 0.8 for GCS. Moreover, Area Under Curve (AUC) of GAP was 0.91 and amongst different values, GAP value of ≤18 was selected as the cut-off point, since it exhibited the best sensitivity and specificity (72.99 and 95.52, respectively). In addition, the area under the ROC curve was 0.9 for MGAP, and value of ≤23 was selected as the cut-off point because it showed the best sensitivity and specificity (81.04 and 87.70, respectively). Additionally, AUC of ISS was 0.88. Conclusion: Both GAP and MGAP methods were able to appropriately predict mortality and were not significantly different; hence, both can be used for the right triage of patients and to predict the severity of injuries and subsequent mortality. Moreover, GAP and ISS had the best specificity and sensitivity, respectively

The Accuracy of GAP and MGAP Scoring Systems in Predicting Mortality in Trauma; a Diagnostic Accuracy Study

Introduction: Trauma scoring systems help physicians and nurses to be informed of injuries to a patient and assist their decision making in the cases of trauma and importantly prediction of their outcome and prognosis. Objective: This study aimed to compare the accuracy of GAP and MGAP scoring systems as predictors of mortality in trauma patients. Methods: This diagnostic accuracy study was conducted amongst 1861 trauma patients admitted to Rajaee Hospital in Shiraz, Iran, during 2017. The data on demographic features were extracted from the patients’ records. Then, trauma scoring systems including injury severity score (ISS), GAP, MGAP, and Glasgow coma scale (GCS) were compared to evaluate their accuracy in predicting mortality. Area under the receiver operating characteristic (ROC) curve was used to evaluate the accuracy of different trauma scoring systems and detect the sensitivity and specificity in order to predict status of discharge after 24 hours. Results: Based on the results, the area under the ROC curve was 0.8 for GCS. Moreover, Area Under Curve (AUC) of GAP was 0.91 and amongst different values, GAP value of ≤18 was selected as the cut-off point, since it exhibited the best sensitivity and specificity (72.99 and 95.52, respectively). In addition, the area under the ROC curve was 0.9 for MGAP, and value of ≤23 was selected as the cut-off point because it showed the best sensitivity and specificity (81.04 and 87.70, respectively). Additionally, AUC of ISS was 0.88. Conclusion: Both GAP and MGAP methods were able to appropriately predict mortality and were not significantly different; hence, both can be used for the right triage of patients and to predict the severity of injuries and subsequent mortality. Moreover, GAP and ISS had the best specificity and sensitivity, respectively

Prediction of low birth weight using Random Forest: A comparison with Logistic Regression

Low birth weight (neonate weighing less than 2500 g) is associated with several maternal and fetal factors, all interrelated with each other [1]. This study is aimed to survey maternal risk factors associated with low birth weight neonates using data mining (Random Forest) to account for interactions between them. We also intended to compare Random Forest with traditional Logistic regression. The dataset used in the present study consisted of 600 volunteer pregnant women.  This cross-sectional study was carried out in Milad hospital, Tehran, during 2005-2009. Ten potential risk factors that are commonly associated with low birth weight were selected by using Random Forest technique. Several criteria such as the area under ROC curve were considered in comparing Random Forest with Logistic Regression.According to both criteria, four top rank variables identified by Random Forest were pregnancy age, body mass index during the third three months of pregnancy, mother’s age and body mass index during the first three months of pregnancy, respectively. In addition, in terms of different criteria the Random Forest technique outperformed the Logistic regression (area under ROC curve: 93% ; Total Accuracy:95% ; Kappa Coefficient: 66%).The results of the present study showed that using Random Forest improved the prediction of low birth weight compared with Logistic Regression. This is because of the fact that the former accounts for all interactions between covariates. Therefore, this approach is a promising classifier for predicting low birth weight

Burden of Drug and Alcohol Use Disorders in Iran: Findings from the Global Burden of Disease Study 2010

Background: Due to its specific socio-cultural and geographical situation, Iran has a major public health problem in terms of drug and alcohol use. The aim of this study is to report and critique the burden of drug and alcohol use disorders in Iran, and to compare these measurements with similar findings. Methods: This study used data for Iran for the years 1990, 2005, and 2010 derived from the Global Burden of Disease study conducted by the Institute for Health Metrics and Evaluation (IHME) in 2010. The burden of drug and alcohol use disorders was evaluated in terms of disability adjusted life years (DALYs), years of life lost to premature mortality (YLLs), and years lived with disability (YLDs). Results: All rates were reported per 100,000 individuals. Death rates attributed to drug and alcohol use disorders were 7.7 and 0.16 for men, and 0.62 and 0.02 for women, respectively. YLL rates regarding drug use disorders were 351.8 and 24.8 for men and women, while these figures were 5.8 and 1.0 for alcohol use disorders for men and women, respectively. YLD rates of drug use disorders were 452.6 for men and 202.1 for women, and 105.8 for men and 23.7 for women for alcohol use disorders. DALY rates attributed to drug use disorders were 804.5 for men and 227 for women, while these rates were 111.7 for men and 24.7 for women, related to alcohol use disorders. Conclusions: Similar to the cases in many other countries, the burden of both drug and alcohol use disorders is higher for men than women in Iran. Although prevention policies and programs for drug and alcohol use are required for both genders, the need for drug and alcohol use intervention seems more urgent for men in Iran

Geographical and socioeconomic inequalities in female breast cancer incidence and mortality in Iran: A Bayesian spatial analysis of registry data

Background In Iran, trends in breast cancer incidence and mortality have generally been monitored at national level. The purpose of this study is to examine province-level disparities in age-standardised breast cancer incidence versus mortality from 2000 to 2010 and their association with socioeconomic status. Methods In this study, data from Iran’s national cancer and death registry systems, and covariates from census and household expenditure surveys were used. We estimated the age-standardised incidence and mortality rates in women aged more than 30 years for all 31 provinces in the consecutive time intervals 2000–2003, 2004–2007 and 2008–2010 using a Bayesian spatial model. Results Mean age-standardised breast cancer incidence across provinces increased over time from 15.0 per 100,000 people (95% credible interval 12.0,18.3) in 2000–2003 to 39.6 (34.5,45.1) in 2008–2010. The mean breast cancer mortality rate declined from 10.9 (8.3,13.8) to 9.9 (7.5,12.5) deaths per 100,000 people in the same period. When grouped by wealth index quintiles, provinces in the highest quintile had higher levels of incidence and mortality. In the wealthiest quintile, reductions in mortality over time were larger than those observed among provinces in the poorest quintile. Relative breast cancer mortality decreased by 16.7% in the highest quintile compared to 10.8% in the lowest quintile. Conclusions Breast cancer incidence has increased over time, with lower incidence in the poorest provinces likely driven by underdiagnoses or late-stage diagnosis. Although the reported mortality rate is still higher in wealthier provinces, the larger decline over time in these provinces indicates a possible future reversal, with the most deprived provinces having higher mortality rates. Ongoing analysis of incidence and mortality at sub-national level is crucial in addressing inequalities in healthcare systems and public health both in Iran and elsewhere

Insight into blood pressure targets for universal coverage of hypertension services in Iran: the 2017 ACC/AHA versus JNC 8 hypertension guidelines

BACKGROUND: We compared the prevalence, awareness, treatment, and control of hypertension in Iran based on two hypertension guidelines; the 2017 ACC/AHA -with an aggressive blood pressure target of 130/80 mmHg- and the commonly used JNC8 guideline cut-off of 140/90 mmHg. We shed light on the implications of the 2017 ACC/AHA for population subgroups and high-risk individuals who were eligible for non-pharmacologic and pharmacologic therapies. METHODS: Data was obtained from the Iran national STEPS 2016 study. Participants included 27,738 adults aged ≥25 years as a representative sample of Iranians. Regression models of survey design were used to examine the determinants of prevalence, awareness, treatment, and control of hypertension. RESULTS: The prevalence of hypertension based on JNC8 was 29.9% (95% CI: 29.2-30.6), which soared to 53.7% (52.9-54.4) based on the 2017 ACC/AHA. The percentage of awareness, treatment, and control were 59.2% (58.0-60.3), 80.2% (78.9-81.4), and 39.1% (37.4-40.7) based on JNC8, which dropped to 37.1% (36.2-38.0), 71.3% (69.9-72.7), and 19.6% (18.3-21.0), respectively, by applying the 2017 ACC/AHA. Based on the new guideline, adults aged 25-34 years had the largest increase in prevalence (from 7.3 to 30.7%). They also had the lowest awareness and treatment rate, contrary to the highest control rate (36.5%) between age groups. Compared with JNC8, based on the 2017 ACC/AHA, 24, 15, 17, and 11% more individuals with dyslipidaemia, high triglycerides, diabetes, and cardiovascular disease events, respectively, fell into the hypertensive category. Yet, based on the 2017 ACC/AHA, 68.2% of individuals falling into the hypertensive category were eligible for receiving pharmacologic therapy (versus 95.7% in JNC8). LDL cholesterol< 130 mg/dL, sufficient physical activity (Metabolic Equivalents≥600/week), and Body Mass Index were found to change blood pressure by - 3.56(- 4.38, - 2.74), - 2.04(- 2.58, - 1.50), and 0.48(0.42, 0.53) mmHg, respectively. CONCLUSIONS: Switching from JNC8 to 2017 ACC/AHA sharply increased the prevalence and drastically decreased the awareness, treatment, and control in Iran. Based on the 2017 ACC/AHA, more young adults and those with chronic comorbidities fell into the hypertensive category; these individuals might benefit from earlier interventions such as lifestyle modifications. The low control rate among individuals receiving treatment warrants a critical review of hypertension services

Hospitalization due to traffic accidents among the elderly, Shiraz, 2018; mortality, severity, and injury pattern

Background: Aging results in declined function, which leads to loss of capacity and respond to injury. Hence, the duration of treatment after traffic accident increases in these patients. The present study aimed to identify the factors affecting the elderly hospitalization. Study Design: This was a cross-sectional study. Materials and Methods: This cross-sectional study was conducted on 768 trauma patients aged 65 years and more due to traffic injuries, referred to Rajaee (Emtiaz) hospital trauma referral center, Shiraz, Iran, in 2018. Data were collected through the hospital's health information system, as well as readings and encoding patient's clinical records. Poisson regression was performed to evaluate the partial effects of each covariate on geriatric trauma patients. Results: The mean age of injured patients was 73.27 ± 6.88 years, of which 7.29 expired. Extremities and externals (58.20) and head and neck (18.36) were the most commonly injured regions of the body. Each year after 65 led to 0.03 times increase in the length of hospitalization. The male's hospital stay was 1.15 times more than females. Conclusion: According to the results, length of hospitalization had a direct correlation with aging among elderly trauma patients. Since the elderly population is on the rise, it is necessary for the policymakers to come up with preventive measures to reduce the number of accidents and casualties

Association of alcohol related disorders with alcohol consumption in logistic regression models: Results from the National Surveillance of Non-Communicable Diseases Survey (STEPs).

Association of alcohol related disorders with alcohol consumption in logistic regression models: Results from the National Surveillance of Non-Communicable Diseases Survey (STEPs).</p

The alcohol drinking status and demographic characteristics in Iran, 2016 (National Level).

The alcohol drinking status and demographic characteristics in Iran, 2016 (National Level).</p