The retention duration of digital images in picture archiving and communication systems.

Introduction: Every year, a large number of medical images such as MRIs, CT scans, and radiographs are prepared in hospitals, and a lot of money is spent on their preparation. Picture archiving and communication system (PACS) is an integrated image management system for maintaining and storing digital images. The objective of this study was to determine the storage duration of digital images in PACS. Methods: This was a scoping review study in which we searched the PubMed and Embase databases using a combination of terms related to radiography, storage, and duration. The reference lists of included articles were checked to identify other relevant articles. Moreover, we searched Google to retrieve relevant gray literature and other information sources including guidelines. The selection process was carried out in three stages and was reported based on the PRISMA flowchart and the data were extracted using the data collection form. Results: Based on the database search 2867 articles were identified, of which 13 articles were eligible for inclusion. Searching for gray literature identified 7 relevant sources. The results showed that based on the institutions' plans and regulations, different countries have different storage policies. In general, to store images between 6 and 240 months for short-term storage and between 0 and 240 months for long-term storage were considered. Conclusion: Due to financial constraints and storage space requirements, healthcare organizations can provide a solution by drafting guidelines on the appropriate storage duration for medical images. The findings of this study can assist healthcare authorities and healthcare centers in employing PACS systems to manage and minimize storage space for medical images, thereby reducing storage costs.

Identifying and prioritizing the key performance indicators for hospital management dashboard at a national level: Viewpoint of hospital managers.

Participation of main users in identifying key performance indicators (KPIs) for management dashboards contributes to their success. The aim of this study was to identify and prioritize the KPIs of hospital management dashboards from the viewpoint of hospital managers. This study was conducted on managers of public hospitals at a national level in Iran in 2020. Data were collected using a self-administrated questionnaire. The KPIs were classified into five categories, namely financial, operational, human resources, safety and quality of care, services provided to patients. A total of 234 hospital managers participated in this study. Totally, 25 KPIs were determined for the hospital management dashboard, including the patient falls rate, waiting time for patients in the emergency department, patient satisfaction, total hospital revenue, financial balance, bed occupancy rate, patients' discharge with own agreement, average length of stay, and personnel satisfaction. For designing hospital management dashboards, the domains of services provided to patients, safety and quality of care, financial resources, human resources, and operational are important from the hospital managers' viewpoint, respectively. The results of this study can be helpful for developers of business intelligence tools, such as hospital management dashboards, to visualize the most important indicators for managers.

Usability evaluation of emergency information systems in educational hospitals in Kerman, Iran.

BACKGROUND: Smart and practical health information systems and applications with fewer errors are crucial for healthcare facilities. One method that ensures the proper design of health information systems (HIS) and applications is usability evaluation. OBJECTIVE: This study aimed to evaluate the usability of the emergency information systems used at the emergency departments of four educational hospitals in Kerman, Iran. METHOD: This study was conducted in two phases. In the first phase, the information systems' errors and shortages were identified using a semi-structured questionnaire by users (nurses and the IT staff). In the second phase, based on the results of the first phase, two questionnaires were designed for each group of users to their opinions about the usability of the emergency information systems. RESULTS: The average score of "reducing and facilitating user's daily activities" was significantly different among hospitals (p = 0.03). Shahid Beheshti Hospital obtained the lowest usability score (17.5), and Afzalipour Hospital received the highest usability score (21.75). Moreover, the average score in "use of the HIS" for nurses and IT staff was 2.93 and 3.54 on a scale of 5, respectively. CONCLUSION: Usability evaluation of health information systems is essential to ensure that these systems provide sufficient and accurate information and requirements for users and health care providers. Also, modifying health information systems based on the user views and expectations improves the quality of the system and user-system Interaction.

The effect of electronic error-reporting forms on nurse's stress and the rate of error-reporting.

OBJECTIVES: The patient safety culture includes a systematic approach that promotes safe care for patients and the leadership that supports it. Medical errors threaten patient safety. A significant portion of medical errors is committed by nurses. Although error-reporting provides valuable information to prevent errors, most nurses do not report their errors due to their high level of stress. This study was to investigate the effect of electronic error-reporting forms on nurses' stress and the rate of error-reporting. METHODS: The nurses' level of stress was compared when using paper error-reporting and 6 months after using electronic forms. A revised version of the Coudron questionnaire was completed by 186 nurses. Data were analyzed by SPSS 23 using Wilcoxon test. The number of reported errors in paper and electronic media was compared over the same period. RESULTS: Implementation of the electronic error-reporting form reduced the job stress of nurses by 22.22 points (p=.00) and increased the error-reporting rate by 12.86% (p<.05). CONCLUSIONS: Although nurse's stress significantly decreases after implementing electronic error-reporting forms, their level of stress is still high and they are still at risk for physical and mental problems. Using methods like modifying the error-reporting form will increase the error-reporting rate.

The preferred IT sources and tools of Iranian people for accessing health information.

INTRODUCTION: People need health information to maintain their health. Despite the variety of sources and tools for providing health information, there is little evidence about Iranian people's preferences in using these sources and tools. The objective of this study was to identify the preferred health information sources, tools, and methods for presenting health information in these tools. METHODS: This national survey was conducted among a sample of 4000 Iranian people between April and September 2021. The data was collected using a valid and reliable questionnaire (α = 0.86) consisting of four sections: participants' demographic information, current sources of obtaining health information, preferred information technology (IT) tools for accessing health information, and the method of presenting this information. Linear regression was used to investigate the relationship between demographic factors and other questions. RESULTS: The participants received health information mostly from the "Internet" (3.62), "family or friends" (3.43), "social networks" (3.41), "specific websites" (3.41), and "mobile apps" (3.27). "Social networks" (3.67), Internet "websites" (3.56), and "mobile apps" (3.50) were the most suitable tools for receiving health information. The participants preferred the presentation of health information in the form of "Images" (3.85), "educational videos" (3.69), and "texts" (3.53). Age, education, and marital status had a significant relationship with most of the preferred information sources, tools, and information presentation methods (p < 0.05). CONCLUSION: The results of this study showed that Iranian people are more active information seekers than passive ones compared to a decade ago. The preferred sources and tools identified in this research can be used by healthcare planners and policy-makers in Iran and other developing countries to design and develop IT interventions that meet people's needs. Improving access to the Internet, social networks, and mobile apps and providing health information via images, educational videos, and texts on these platforms enhance access to the information people need.

Extracting cancer concepts from clinical notes using natural language processing: a systematic review.

BACKGROUND: Extracting information from free texts using natural language processing (NLP) can save time and reduce the hassle of manually extracting large quantities of data from incredibly complex clinical notes of cancer patients. This study aimed to systematically review studies that used NLP methods to identify cancer concepts from clinical notes automatically. METHODS: PubMed, Scopus, Web of Science, and Embase were searched for English language papers using a combination of the terms concerning "Cancer", "NLP", "Coding", and "Registries" until June 29, 2021. Two reviewers independently assessed the eligibility of papers for inclusion in the review. RESULTS: Most of the software programs used for concept extraction reported were developed by the researchers (n = 7). Rule-based algorithms were the most frequently used algorithms for developing these programs. In most articles, the criteria of accuracy (n = 14) and sensitivity (n = 12) were used to evaluate the algorithms. In addition, Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) and Unified Medical Language System (UMLS) were the most commonly used terminologies to identify concepts. Most studies focused on breast cancer (n = 4, 19%) and lung cancer (n = 4, 19%). CONCLUSION: The use of NLP for extracting the concepts and symptoms of cancer has increased in recent years. The rule-based algorithms are well-liked algorithms by developers. Due to these algorithms' high accuracy and sensitivity in identifying and extracting cancer concepts, we suggested that future studies use these algorithms to extract the concepts of other diseases as well.

A systematic review of data elements of computerized physician order entry (CPOE): mapping the data to FHIR.

OBJECTIVE: Medication errors are the third leading cause of death. There are several methods to prevent prescription errors, one of which is to use a Computerized Physician Order Entry system (CPOE). In a CPOE system, necessary data needs to be collected so that making decisions about prescribing medications and treatment plans could be made. Although many CPOE systems have been developed worldwide, studies have yet to identify the necessary data and data elements of CPOE systems. This study aims to identify data elements of CPOE and standardize these data with Fast Healthcare Interoperability Resources (FHIR) to facilitate data sharing and integration with the electronic health record (EHR) system and reduce data diversity. METHODS: PubMed, Web of Science, Embase, and Scopus databases for studies up to October 2019 were searched. Two reviewers independently assessed original articles to determine eligibility for inclusion in this review. All articles describing data elements of a COPE system were included. Data elements were obtained from the included articles' text, tables, and figures.Classification of the extracted data elements and mapping them to FHIR was done to facilitate data sharing and integration with the electronic health record (EHR) system and reduce data diversity. The final data elements of CPOE were categorized into five main categories of FHIR (foundation, base, clinical, financial, and specialized) and 146 resources, where possible. One of the researchers did mapping and checked and verified by the second researcher. If a data element could not be mapped to any FHIR resources, this data element was considered an extension to the most relevant resource. RESULTS: We retrieved 5162 articles through database searches. After the full-text assessment, 21 articles were included. In total, 270 data elements were identified and mapped to the FHIR standard. These elements have been reported in 26 FHIR resources of 146 ones (18%). In total, 71 data elements were considered an extension. CONCLUSIONS: The results of this study showed that the same data elements were not used in the CPOE systems, and the degree of homogeneity of these systems is limited. The mapping of extracted data with data elements used in the FHIR standard shows the extent to which these systems comply with existing standards. Considering the standards in these systems' design helps developers design more coherent systems that can share data with other systems.

Designing a minimum data set of laboratory data for the electronic summary sheet of pediatric ward in Iran: A cross-sectional study.

Background and Aim: Iranian hospitals are provided with hospital information systems (HISs) from different vendors, which make it hardly possible to summarize laboratory data in an consistent manner. Therefore, there is a need to design a minimum data set of laboratory data that will define standard criteria and reduce potential medical errors. The purpose of this study was to design a minimum data set (MDS) of laboratory data for an electronic summary sheet to be used in the pediatric ward of Iranian hospitals. Methods: This study consists of three phases. In the first phase, out of 3997 medical records from the pediatric ward, 604 summary sheets were chosen as sample. The laboratory data of these sheets were examined and the recorded tests were categorized. In the second phase, based on the types of diagnosis we developed a list of tests. Then we asked the physicians of the ward to select which ones should be documented for each patient's diagnosis. In the third phase, the tests that were reported in 21%-80% of the records, and were verified by the same percentage of physicians, were evaluated by the experts' panel. Results: In the first phase, 10,224 laboratory data were extracted. Of these, 144 data elements reported in more than 80% of the records, and more than 80% of experts approved them to be included in the MDS for patients' summary sheet. After data elements were investigated in the experts' panel, 292 items were chosen for the final list of the data set. Conclusions: This MDS was designed such that, if implemented in hospital information systems, it could automatically enable registering data in the summary sheet when patient's diagnosis is registered.

Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms.

Background: The severity of coronavirus (COVID-19) in patients with chronic comorbidities is much higher than in other patients, which can lead to their death. Machine learning (ML) algorithms as a potential solution for rapid and early clinical evaluation of the severity of the disease can help in allocating and prioritizing resources to reduce mortality. Objective: The objective of this study was to predict the mortality risk and length of stay (LoS) of patients with COVID-19 and history of chronic comorbidities using ML algorithms. Methods: This retrospective study was conducted by reviewing the medical records of COVID-19 patients with a history of chronic comorbidities from March 2020 to January 2021 in Afzalipour Hospital in Kerman, Iran. The outcome of patients, hospitalization was recorded as discharge or death. The filtering technique used to score the features and well-known ML algorithms were applied to predict the risk of mortality and LoS of patients. Ensemble Learning methods is also used. To evaluate the performance of the models, different measures including F1, precision, recall, and accuracy were calculated. The TRIPOD guideline assessed transparent reporting. Results: This study was performed on 1291 patients, including 900 alive and 391 dead patients. Shortness of breath (53.6%), fever (30.1%), and cough (25.3%) were the three most common symptoms in patients. Diabetes mellitus(DM) (31.3%), hypertension (HTN) (27.3%), and ischemic heart disease (IHD) (14.2%) were the three most common chronic comorbidities of patients. Twenty-six important factors were extracted from each patient's record. Gradient boosting model with 84.15% accuracy was the best model for predicting mortality risk and multilayer perceptron (MLP) with rectified linear unit function (MSE = 38.96) was the best model for predicting the LoS. The most common chronic comorbidities among these patients were DM (31.3%), HTN (27.3%), and IHD (14.2%). The most important factors in predicting the risk of mortality were hyperlipidemia, diabetes, asthma, and cancer, and in predicting LoS was shortness of breath. Conclusion: The results of this study showed that the use of ML algorithms can be a good tool to predict the risk of mortality and LoS of patients with COVID-19 and chronic comorbidities based on physiological conditions, symptoms, and demographic information of patients. The Gradient boosting and MLP algorithms can quickly identify patients at risk of death or long-term hospitalization and notify physicians to do appropriate interventions.

Developing a minimum data set for cardiovascular Computerized Physician Order Entry (CPOE) and mapping the data set to FHIR: A multi-method approach.

Many medical errors occur in the process of treating cardiovascular patients, and most of these errors are related to prescription errors. There are several, one of the methods to prevent prescription errors is the use of a computerized physician order entry (CPOE) system. One of the obstacles of implementing this system is improper design and non-compliance with user needs. one of the issues that should be considered in designing information systems is having a standard minimum data set (MDS). Although many computerized physicians order entry (CPOE) systems have been developed in the world, no study has identified the necessary data and minimum data set (MDS) of CPOE system, and published the process of creating this MDS. This study aimed to develop an MDS for cardiovascular CPOE and standardize it with Fast Healthcare Interoperability Resources (FHIR). A multi-method approach including systematic review for identifying data elements of CPOE, reviewing the content of medical records, validation of the data elements using the expert panel and, determination of the necessary data elements using a survey was conducted. Classification of the data elements and mapping them to FHIR were done to facilitate data sharing and integration with the electronic health record (EHR) system as well as to reduce data diversity. The final data elements of MDS were categorized into 5 main categories of FHIR (foundation, base, clinical, financial, and specialized) and 146 resources, where possible. Mapping was done by one of the researchers and checked and verified by the second researcher. Non-mapped data elements were added to relevant resources as extensions of existing FHIR resources. In total, 270 data elements were identified from the systematic review. After reviewing the content of 20 patients' medical records, 28 data elements were identified. After combination of data elements of two previous phases and removing duplication, 282 data elements remained. Data elements that were considered necessary to be included in CPOE by conducting a survey among cardiovascular physicians were 109 elements. From 146 resources of FHIR, the data elements of this MDS are covered by 5 resources. This study introduced an MDS for cardiovascular CPOE by combining suggested data elements of previous research, and the practical and local requirements identified in patients' medical records. To facilitate data sharing and integration with EHR, reduce data diversity, and also to categorize data, this MDS was standardized with FHIR. The steps we used to develop this MDS could be a model for creating MDS in other CPOEs and health information systems. This is the first time that the process of developing an MDS for cardiovascular CPOE has been presented in the literature.

The role of e-health on the public knowledge and behavior in preventing COVID-19.

Background: Electronic health (e-health) technologies play an important role in improving public knowledge and behavior to control the COVID-19 pandemic. The present study aimed to investigate the role of e-health on the public knowledge and behavior in preventing COVID-19 in Kerman, a city in Iran. Methods: The present descriptive cross-sectional study used an online survey in Kerman in November 2021. The research instrument was a tripartite questionnaire that included demographic information, the level of respondents' knowledge about COVID-19, the extent of change in respondents' behavior influenced by e-health. Negative binomial regression analysis was run to test the relationship between individual characteristics and the research variables with knowledge and behavior. Spearman correlation test was used to measure the correlation between the two main parts of the survey. Results: As the negative binomial regression analysis results showed, the relationship between no demographic variable and the public knowledge and behavior was statistically significant (p < 0.001). The mean knowledge and behavior scores were 5.84 ± 2.55 and 11.95 ± 5.09, respectively, showing that people who used e-health had a high level of knowledge, and taking preventive measures was at a high level. The Spearman correlation coefficient test results showed a positive association between knowledge and behavior (r = 0.71). Conclusion: E-health played a decisive role in increasing knowledge and improving behavior in preventing COVID-19. The results of our research can encourage the use of e-health to improve the public knowledge and behavior in pandemics such as COVID-19.

Evaluating the usability of a cancer registry system using Cognitive Walkthrough, and assessing user agreement with its problems.

OBJECTIVE/AIM: Good design of cancer registry systems makes them easy to use, while poor design of their user interfaces leads to user dissatisfaction and resistance. The objective of this study was to evaluate the usability of a cancer registry system using Cognitive Walkthrough (CW) and to assess users' agreement with its usability problems. METHODS: CW was used to evaluate the registry system. We developed a checklist to help evaluators speed up the evaluation process, a problems form to collect the usability issues identified by the evaluators, and a problems severity form to determine the severity of problems by the evaluators. The problems were classified into two categories according to the CW questions and the system tasks. The agreement of the users with the system problems was examined by an online questionnaire. Users' agreement with the problems was then analyzed using the Interclass Correlation Coefficient in the SPSS 22 (Statistical Package for Social Science). RESULTS: In this study, 114 problems were identified. In the categorization of problems based on the CW questions, 41% (n = 47) of the problems concerned the issue of "users do not know what to do at each stage of working with the system", 24% (n = 27) were classified as "users cannot link what they intend to do with system controls", and 22% (n = 25) were related to "user's lack of understanding of the system processes". Based on user tasks, about 36% (n = 41) of the problems were related to "removing patient duplication" and 33% (n = 38) were related to "registration of patient identification information". User agreement with the problems was high (CI 95% = 0.9 (0.96, 0.98)). CONCLUSION: System problems often originate from user ignorance about what to do at each stage of using the system. Also, half of the system problems concern a mismatch between what users want to do and the system controls, or a lack of understanding about what the system does at different stages. Therefore, to avoid user confusion, designers should use clues and guides on the screen for users, design controls consistent with the user model of thinking, and provide appropriate feedback after each user action to help users understand what the system is doing. The high agreement of users with the problems showed that in the absence of users system designers can use CW to identify the problems that users face in the real environment.

Evaluating and rating HIV/AIDS mobile apps using the feature-based application rating method and mobile app rating scale.

BACKGROUND: The purpose of this study was to evaluate HIV/AIDS mobile applications using the Mobile App Rating Scale (MARS) and rate the features of these applications using the new tool called the Feature-based Application Rating Method (FARM). METHODS: In this study, all available HIV/AIDS apps in Iran from Cafe Bazaar and Google Play Store due to inclusion criteria were studied. The evaluation of the quality of applications was done using the MARS tool and the FARM tool. The FARM, which was developed in this study, was applied to rank the features of the applications. RESULTS: In this study, 79 applications were included. The mean score of all apps using both tools was 3.58 (SD = 0.95) out of 5. The overall mean quality score based on the MARS was 3.14 (SD = 0.84), and the mean score of features based on FARM was 3.81 (SD = 1.23). This study showed a higher than moderate correlation between the scores assigned to apps based on the MARS and FARM tools (r > 0.4). CONCLUSIONS: The HIV/AIDS mobile applications available in Iran had the "acceptable" ranking. Also, our study results showed that to evaluate mobile apps, using a single tool may not provide good insight to evaluators about the assessed apps. However, using more than one tool may provide more details about the evaluated apps. To improve the quality of mobile health apps and help users select the most desirable app, we suggested using tools like FARM for ranking apps based on the features of each app in the app stores.

Investigating the role of health information technology in the control and management of Systemic Lupus Erythematosus (SLE): a systematic review.

BACKGROUND: Despite the use of health information technology (HIT) for controlling and managing lupus, its effectiveness has not been well studied. The objective of this study was to investigate the role of HIT in controlling and managing lupus. METHODS: We searched Scopus, PubMed, Web of Science, and Embase, using "self-management", "self-care" and "Systemic Lupus Erythematosus" keywords. Two researchers selected relevant papers and extracted data using a data collection form. Disagreements were resolved in consultation with the third and fourth researchers. After extraction, the data were analyzed. RESULTS: Totally, 23 papers met the inclusion criteria. About 75% of the studies used web and telephone-based technologies. Most services provided with health technologies were 'Training' and 'consulting'. The 'lifestyle" and 'Consultation and education' axes were the most widely used HIT services to control and manage lupus. While, 'Better management and control of the disease', 'Increasing knowledge and awareness of people about lupus' and 'Improving behaviors and attitudes toward self-management and self-care' were also the most important outcomes. 'Collectiing patient data and information', 'Providing education and consultation services to patients', 'Measuring patient-reported outcomes', and 'Increasing patients' knowledge and awareness of their disease' were the most important advantages of various technologies. 'Slow internet speed' and 'Challenges and problems related to appearance and usability' and 'Patient concerns about privacy and misuse of their data' were three disadvantages of technologies. CONCLUSION: The findings showed that HIT can improve the management and control of lupus and facilitate self-efficacy, self-care, and self-management in patients. The axes and data elements identified in this study can be the basis for developing and implementing efficient HIT-based systems to improve, control, and manage lupus.

Evaluating the Quality of a Clinical Mobile App for Physicians' CT Scan Ordering Using the MARS Rating Scale.

Given the lack of literature on the contributing factors to adopt mobile applications (apps) among physicians and the crucial role of the quality of the apps in their widespread use, the aim of this study is using the Mobile App Rating Scale (MARS) to evaluate the quality of the head CT scan appropriateness criteria app(HAC app). It was developed to assist medical interns and residents in ordering head CT scans. MARS is internationally recognized as an app rating tool and consists of four objective and subjective quality subscales quality subscale. Although the overall quality score of the HAC app was favorable (82 out of 100), it had low quality scores in the "information" (73.37 out of 100) and the "engagement" (73.48 out of 100) subscales. The HAC app appears to be functional to the physicians; however, it needs to improve its quality in terms of interactivity and effectiveness.

Determining the Effect of the Picture Archiving and Communication System (PACS) on Different Dimensions of Users' Work.

The impact of the picture archiving and communication system (PACS) on healthcare costs, information access, image quality, and user workflow has been well studied. However, there is insufficient evidence on the effect of this system on different dimensions of the users' work. The objective of this study was to evaluate the impact of the PACS on different dimensions of users' work (external communication, service quality, user intention to use the PACS, daily routine, and complaints on users) and to compare the opinions of different groups of users about the PACS. This study was performed on the PACS users (n = 72) at Kerman University of Medical Sciences, including radiologists, radiology staff, ward heads, and physicians. Data were collected using a questionnaire consisting of two parts: demographic information of the participants and 5-point Likert scale questions concerning the five dimensions of users' work. Data were analyzed using descriptive statistics, ANOVA, and Pearson's correlation coefficient statistical tests. The mean of scores given by the PACS users was 4.31 ± 0.86 for external communication, 4.18 ± 0.96 for user intention to use the PACS, 3.91 ± 0.7 for service quality, 3.16 ± 0.56 for daily routine, and 3.08 ± 1.05 for complaints on users. Radiologists and radiology staff had a more positive opinion about the PACS than other clinicians such as physicians (P < 0.01, CI = 95%). Factors such as user age (P < 0.01, CI = 95%), job (P < 0.001, CI = 95%), work experience (P < 0.001, CI = 95%), and PACS training method (P=0.037, CI = 95%) were related to the impact of the PACS on different dimensions of users' work. This study showed that the PACS has a positive effect on different dimensions of users' work, especially on external communication, user intention to use the system, and service quality. It is recommended to implement PACSs in medical centers to support users' work and to maintain and strengthen the capabilities and functions of radiology departments.

The impact of the emergency medical services (EMS) automation system on patient care process and user workflow.

BACKGROUND: One of the important components of the health system is the emergency medical services (EMS) system. The EMS system was implemented at Kerman University of Medical Sciences teaching hospitals to communicate the situation of patients being transferred to the hospital by EMS and to provide facilities tailored to the patient's condition. The objective of this study was to investigate the impact of the EMS system on the patient care process and the workflow of users. METHODS: The hospital information system (HIS) report was used to investigate the impact of the EMS system on the patient care process and a questionnaire was distributed among 244 participants to determine its impact on the workflow of the users. Mann-Whitney U was used to analyze HIS reports, and Chi-square was used to analyze the data collected by questionnaires. RESULTS: The EMS system reduced the patient's stay in hospital by an average of 3 h and 45 min. It also increased the number of patients' discharge from the emergency room to 2.2% and reduced the death rate by 1.3% (p < 0.001). Besides, 78% of physicians, 75% of nurses and 83% of technicians stated that this system has positively influenced their workflow. CONCLUSIONS: The EMS system reduced the patient's stay in hospital and mortality, and increased the speed of patient service, readiness of users to provide patient care and the number of discharged patients. However, problems such as inappropriate technical infrastructure of the EMS system should be solved to improve patients' recovery, reduce mortality and improve user satisfaction.

Assessing parents' awareness about children's "first thousand days of life": a descriptive and analytical study.

BACKGROUND: Many adulthood illnesses are rooted in childhood, especially in the "first thousand days of life". Despite parents' role in children's development, no study has examined parental awareness concerning this period. This study aimed to examine the awareness of parents concerning the "first thousand days of life" and the relationship between parents' demographics and their awareness. METHODS: This study was conducted on 135 parents in Kerman, Iran, using a valid and reliable questionnaire developed by researchers based on the opinion of experts and relevant references. The relationship between participants' demographics and their awareness was examined by multiple regression. The relationship between homogeneity of couples' education degree and awareness was analyzed using ANOVA. Chi-square was used to examine the relationship between information sources and parents' familiarity and to compare parents' preferred sources. RESULTS: The average parental awareness was 41.96 ± 11.90. Eighty-three percent of the parents have not heard about the "first thousand days of life". The source of information for 57% of the parents was friends and relatives (p < 0.0001). Overall, 87% of the parents desired to know about this period, and 47% liked using mobile applications for information (p < 0.0001). CONCLUSIONS: Parents' awareness about the "first thousand days of life" is lower than the average. Since the source of information concerning this period for most parents is friends and relatives and most parents are very interested in obtaining information, it is recommended that policy-makers use the capacity of other sources to increase parents' awareness. Given the greater tendency of parents to obtain information through mobile applications, we suggest investing more in this source.

Evaluation of HIV/AIDS-related mobile health applications content using an evidence-based content rating tool.

BACKGROUND: Despite the increasing number of mobile health applications, the validity of their content is understudied. The objective of this study was to rate the content of HIV/AIDS-related mobile applications and to determine the extent to which evidence-based medicine is being incorporated into their content using a new tool called the Evidence-based content rating tool of mobile health applications (EBCRT-mHealth). METHODS: All available HIV/AIDS-related applications in Iran from Cafe Bazaar and Google Play Store were evaluated. This study was first conducted in 2018, then after almost two years in 2021 was done again. In this study, researchers developed the EBCRT-mHealth tool to rate the content of applications based on the evidence-based medicine pyramid. Its reliability was calculated (α = 0.78), and five specialists confirmed its validity. Two reviewers independently reviewed all HIV/AIDS applications directly downloaded and installed from the Google Play Store and Cafe Bazaar. RESULTS: Out of 980 retrieved applications, in 2018, 85, and in 2021, 78 applications were included in the study. Only in 17 (28%) out of the 60 in 2018, and 25 (51%) in 2021 Google Play store applications the source of content information was mentioned. All Cafe Bazaar mobile applications mentioned the source of information. The mean rating of all application content in 2018 was 2.38 (SD = 0.74), and in 2021 was 2.90 (SD = 1.35) out of 5. The mean rating of the content of Cafe Bazaar applications in 2018 was 2.10 (SD = 0.49), and in 2021 was 1.94 (SD = 0.29). The mean content rating of Google Play store applications in 2018 was 2.50 (SD = 0.80) and in 2021 was 3.86 (SD = 1.18). CONCLUSION: After two years, the rating of the content of HIV/AIDS-related applications available in Iran that existed in Cafe Bazaar decreased from "poor" to "inappropriate". Also, the content score of the Google Play Store applications increased from "poor" to "good". It is critical to ensure the credibility of the sources used in developing their content and removing applications with inappropriate and unreliable content from the App Stores. Also, mobile health application developers should use the highest quality information in their applications.

Evaluating physicians' perspectives on the efficiency and effectiveness of the electronic prescribing system.

BACKGROUND: The implementation of the electronic prescribing system follows certain objectives, and users' perspectives can contribute to understanding the efficiency and effectiveness of this system. This study aimed to evaluate physicians' perspectives on the efficiency and effectiveness of the electronic prescribing system. METHODS: This study was conducted on all physicians using the electronic prescribing system in clinics and hospitals affiliated with the treatment deputy of the Social Security Organization (SSO) in Sistan and Baluchistan Province in Iran. Data were collected using a self-administered questionnaire containing three sections: (i) Six items related to demographic data and clinical experience, (ii) Specific questions based on a five-point Likert scale-related physicians' perspectives about efficiency (19 questions) and effectiveness (13 questions), and (iii) Open-ended questions about the positive and negative aspects of using the electronic prescribing system. RESULTS: The mean and standard deviation of the efficiency and effectiveness of the electronic prescribing system were 3.68 ± 0.67 and 3.84 ± 0.65, respectively. Patient safety had the highest mean score among all dimensions (4.0 ± 0.64). Most participants (n = 55, 79%) considered the efficiency and effectiveness of this system high. More than 90 percent of the physicians (n = 63) believed that the electronic prescribing system enables a better medication prescription by providing alerts and access to patients' medication history. CONCLUSION: The findings showed that most physicians believed that the electronic prescribing system of Iran's SSO has high efficiency and effectiveness. In particular, physicians believed that using this system improves patient safety and reduces costs.