Aim: Pre-hospital Emergency Medical Services (EMS) is a vital part of the health system, which given the emergency nature of its services, is an information-sensitive area. But most information systems have challenges in providing this information. This study examines the challenges of a pre-hospital emergency information system (EMSIS) with a systematic approach. Methods: In this descriptive applied study, the challenges of the EMSIS of Hormozgan EMS Management Center were investigated and extracted using a checklist (14 questions) from a systematic approach, namely, considering the type of information system in terms of mechanization, type of data, data processing method, hardware and software, involved people as well as various types of reports and information. Data were analyzed manually. Results: The main challenge of current system was the lack of an electronic information system and the manual managing of information. Also, the problem with collecting and recording all types of audio, video and text data and the lack of up-to-date hardware and software for electronic exchange of emergency information were another challenge. Conclusion: In terms of systematic approach, the studied information system did not utilize from the capabilities of an electronic system, which, due to the positive outcomes of this type of systems and to increase the pre-hospital emergency capabilities, should be planned to implement electronic systems in studied EMS.

Background The triglyceride glucose (TyG) and triglyceride-to-high-density lipoprotein cholesterol ratio (TG/HDL-c) are the indices that can predict the progression of pre-diabetes to type 2 diabetes mellitus (T2DM). This study aimed to examine the relationship between TyG and TG/HDL-c indices with the incidence of T2DM in pre-diabetes patients. Methods A total of 758 pre-diabetic patients aged 35–70 years who were enrolled in a prospective Fasa Persian Adult Cohort were followed up for 60 months. TyG and TG/HDL-C indices were obtained at baseline data and divided into quartiles. The 5-year cumulative incidence of T2DM was analyzed by Cox proportional hazards regression analysis while controlling for baseline covariates. Results During 5 years of follow-up, there were 95 incident cases of T2DM, with an overall incidence rate of 12.53%. After adjusting for age, sex, smoking, marital status, socioeconomic status, body mass index, waist circumference, hip circumference, hypertension, total cholesterol, and dyslipidemia, the multivariate-adjusted hazard ratios (HRs) demonstrated that patients with the highest TyG and TG/HDL-C indices quartile were at higher risk of T2DM (HR = 4.42, 95%CI 1.75–11.21) and (HR = 2.15, 95%CI 1.04–4.47), respectively, compared to participants in the lowest quartile. As the quantiles of these indices increase, the HR value shows a significant increment (P < 0.05). Conclusion The results of our study showed that the TyG and TG/HDL-C indices can be important independent predictors for the progression of pre-diabetes to T2DM. Therefore, controlling the components of these indicators in pre-diabetes patients can prevent developing T2DM or delay its occurrence.

Introduction and Objectives: National Transplant Network leads to integration of transplant activities chain amongst participating centers. Co-ordinate and timely information exchange among those centers is a key requirement of integration which is made possible by information system. The present research studied US and England National Transplant Network Information System.

Introduction: Given that the evolution of various mental aspects, includes. Therefore, screening for the developmental status of children can prevent significant complications and disorders. Therefore, we decided to examine the developmental status of children in Hormozgan province based on the Ages and Stages Questionnaire (ASQ). Methods: This descriptive-analytical study was performed by cross-sectional method in December 1997 in health units of Hormozgan province. Based on cluster random sampling, the names of 2260 children aged 60 months (3 to 5 years) were extracted through the integrated health system. Data collection tool was ASQ questionnaire which was used to assess the development of children in the five areas of communication, large movements, fine movements, problem solving and social personality. The collected data were analyzed using SPSS software version 22 and statistical tests, analysis of variance, chi-square, mean indices, standard deviation and frequency percentage.(p<0.05) Results: The mean age of the children in the study was 3.14 ± 2.3 Out of 2260 children, 1036 (45.8%) were girls and 1224 (54.2%) were boys. In terms of communication 1.5%, fine movements 2%, 4.5% large movements, 3% problem solving and social personality 4% were abnormal. Conclusion: The results showed that despite the normal development in most children, a number of children had developmental disorders in at least one area. Therefore, the need for programs to deal with related risk factors and continuous follow-up in terms of the development of these areas is essential to prevent future complications.

Background: Over the past decades, electronic cigarette (e-cigarette) has entered into the tobacco industry as a safe alternative to combustible cigarettes. The aim of the current study was to investigate the effects of e-cigarette on smoking cessation. Materials and Methods: Related studies were extracted by specific keywords from PubMed, ScienceDirect, and Scopus. The inclusion criterion was the relevance of the studies to the aim of the study from 2010 to 2022. Finally, the contents were summarized by content analysis. Results: Due to the non-combustible property of tobacco, many people consider it less harmful. Other features such as different flavors, availability, and modern appearance make it user-friendly. Nevertheless, numerous studies declared the harmful effects of e-cigarettes on the lungs, platelets, and vascular tissue because of the formation of new suspected toxic compounds. Moreover, it has been reported that the use of e-cigarettes not only does not contribute to smoking cessation but also increases people’s desire to conventional smoking, especially in e-liquids containing nicotine. Conclusion: The potential of e-cigarette as a safe tool for smoking cessation remains debatable. In addition, due to the greater attraction of young adults, countries should enact laws regarding the distribution, access, and prohibitions.

IntroductionNurses account for the majority of human resources in hospitals, as such that 62% of the workforce and 36% of hospital expenditures are related to nurses. Considering its vital role in offering round-the-clock emergency healthcare services, an Emergency Department (ED) requires adequate nurses. Therefore, this study was conducted to optimize the number of nurses in ED.MethodsThis was an applied study conducted using a Linear Programming (LP) model in 2015. The study population were selected by census who were all ED nurses (n=84) and patients referred to ED (n=3342). To obtain the statistics related to the number of patients and nurses, the hospital information system and human resources database were employed respectively. To determine the optimum number of nurses per shift, LP model was created via literature review and expert advice, and it was executed in WinQSB software.ResultsBefore implementing the model, the number of nurses required for ED morning shift, evening shift, and night shift (2 shifts) was 26, 24 and 34 respectively. The optimum number of nurses who worked in ED after running the model was 62 nurses, 17 in the morning shift, 17 in the evening shift and 28 in the night shift (2 shifts). This reduced to 60 nurses after conducting sensitivity analysis.ConclusionThe estimated number of nurses using LP was less than the number of nurses working in ED. This discrepancy can be reduced by scientific understanding of factors affecting allocation and distribution of nurses in ED and flexible organization, to reach the optimal point.

Background and Aims: About one-fifth of patients with COVID-19 need to be hospitalized. Predicting factors affecting the hospital length of stay (LOS) can be effective in prioritizing patients, planning for services, and preventing the increase in LOS and death of patients. The present study aimed to identify the factors that predict LOS and mortality in COVID-19 patients in a retrospective cohort study. Methods: A total of 27,859 patients were admitted to 22 hospitals from February 20, 2020 to June 21, 2021. The data collected from 12,454 patients were screened according to the inclusion and exclusion criteria. The data were captured from the MCMC (Medical Care Monitoring Center) database. The study tracked patients until their hospital discharge or death. Hospital LOS and mortality were assessed as the study outcomes.Results: As the results revealed, 50.8% of patients were male and 49.2% were female. The mean hospital LOS of the discharged patients was 4.94. Yet, 9.1% of the patients (n = 1133) died. Among the predictors of mortality and long hospital LOS were the age above 60, admission to the ICU, coughs, respiratory distress, intubation, oxygen level less than 93%, cigarette and drug abuse, and a history of chronic diseases. Masculinity, gastrointestinal symptoms, and cancer were the effective variables in mortality, and positive CT was a factor significantly affecting the hospital LOS. Conclusion:Paying special attention to high-risk patients and modifiable risk factors such as heart disease, liver disease, and other chronic diseases can diminish the complications and mortality rate of COVID-19. Providing training, especially for those who care for patients experiencing respiratory distress such as nurses and operating room personnel can improve the qualifications and skills of medical staff. Also, ensuring the availability of sufficient supply of medical equipment is strongly recommended.

Background: In the data-rich and data-sensitive environment, health information systems (HIS) have been used for decision-making by providing reliable data. The current study aims to have a holistic view on the logistic role of IS in health sector. Methods: PubMed, Scopus, and Science Direct were searched by keywords including "information system AND health AND data", "health information system AND challenges AND network", health information system OR clinical information system AND quality of services". 547 scientific studies from 2010 onwards were selected. At first, based on papers' relevance to the aim of this study, titles and abstracts of publications were studied. 259 studies were filtered out. Then, through analyzing the full texts based on inclusion criteria, authors selected 106 papers. Finally, contents were extracted and categorized. Results: Due to the impact of IS on quality, effectiveness, and efficiency of services, as well as patients' safety, various types of ISs are used at different levels of the health system. They are classified based on different criteria including generality, level of the health system, managerial level, complexity, and integrity. According to IS components, non-standardized data, weak human resources capacity, incompatibility with work procedures, fragmentation of subsystems, cyber security threats, and insufficient informatics infrastructure were the main challenges. Conclusion: IS in health play a logistic role in systematic data management and circulation of reliable information. A systematic and integrated view is needed to conquer the organizational and systemic challenges.