Patient flow in emergency departments: a comprehensive umbrella review of solutions and challenges across the health system

BACKGROUND

Globally, emergency departments (EDs) are overcrowded and unable to meet an ever-increasing demand for care. The aim of this study is to comprehensively review and synthesise literature on potential solutions and challenges throughout the entire health system, focusing on ED patient flow.

METHODS

An umbrella review was conducted to comprehensively summarise and synthesise the available evidence from multiple research syntheses. A comprehensive search strategy was employed in four databases alongside government or organisational websites in March 2023. Gray literature and reports were also searched. Quality was assessed using the JBI critical appraisal checklist for systematic reviews and research syntheses. We summarised and classified findings using qualitative synthesis, the Population-Capacity-Process (PCP) model, and the input/throughput/output (I/T/O) model of ED patient flow and synthesised intervention outcomes based on the Quadruple Aim framework.

RESULTS

The search strategy yielded 1263 articles, of which 39 were included in the umbrella review. Patient flow interventions were categorised into human factors, management-organisation interventions, and infrastructure and mapped to the relevant component of the patient journey from pre-ED to post-ED interventions. Most interventions had mixed or quadruple nonsignificant outcomes. The majority of interventions for enhancing ED patient flow were primarily related to the 'within-ED' phase of the patient journey. Fewer interventions were identified for the 'post-ED' phase (acute inpatient transfer, subacute inpatient transfer, hospital at home, discharge home, or residential care) and the 'pre-ED' phase. The intervention outcomes were aligned with the aim (QAIM), which aims to improve patient care experience, enhance population health, optimise efficiency, and enhance staff satisfaction.

CONCLUSIONS

This study found that there was a wide range of interventions used to address patient flow, but the effectiveness of these interventions varied, and most interventions were focused on the ED. Interventions for the remainder of the patient journey were largely neglected. The metrics reported were mainly focused on efficiency measures rather than addressing all quadrants of the quadruple aim. Further research is needed to investigate and enhance the effectiveness of interventions outside the ED in improving ED patient flow. It is essential to develop interventions that relate to all three phases of patient flow: pre-ED, within-ED, and post-ED.

Digital Health for Myocardial Infarction: Research Topics and Trends

We aimed to map the topics and trends of research on digital health for myocardial infarction over the past ten years. This can inform future research directions and newly emerging topics for myocardial infarction care, diagnosis and monitoring. The Web of Science database was searched for papers related to digital health for myocardial infarction. 1,344 retrieved records were used for visualisation through bibliometrics and co-occurrence network analysis of keywords. Our mapping revealed several emerging topics in recent years, including artificial intelligence and deep learning. Higher emphasis on automated and artificially intelligent digital health systems in recent years can inform future clinical practice and research directions for myocardial infarction.

Bibliometric analysis of COVID-19 publications shows the importance of telemedicine and equitable access to the internet during the pandemic and beyond

BACKGROUND

Pandemics highlight the increasing role of information and communications technology for improving access to health care. This study aimed to present a bibliometric analysis of the concept of digital divide reported in the published articles concerning the coronavirus disease 2019 (COVID-19) pandemic.

METHODS

To conduct this bibliometric analysis of research topics and trends, we used VOSviewer software. We developed a search strategy to retrieve peer-reviewed publications related to 'digital divide in the COVID-19 era' from the Scopus database.

RESULTS

In total, 241 publications on the topic of digital divide and COVID-19 were retrieved from Scopus database between 2020 and 2021. The analysis of keywords co-occurrence of research topics revealed four main clusters including: 'telemedicine', 'Internet access and Internet use', 'e-learning' and 'epidemiology'. Seven characteristic categories were examined in these research topics, including: sociodemographic, economic, social, cultural, personal, material and motivational.

CONCLUSION

'Telemedicine' and 'Internet access and Internet use' as the largest clusters are connected to topics addressing inequalities in online health care access. Thus, policymakers should develop or modify policies in more egalitarian Internet access for all community members not only during a pandemic like the COVID-19 but also at regular times.

Mobile health interventions for cancer patient education: A scoping review

INTRODUCTION

Mobile health (mHealth) is using mobile devices and applications to deliver health information and services. mHealth has been increasingly applied in cancer care to support patients in various aspects of their disease journey. This scoping review aimed to explore the current evidence on the use of mHealth interventions for cancer patient education.

METHODS

This scoping review followed the Joanna Briggs Institute (JBI) methodology for scoping reviews. We searched four electronic databases (PubMed, Web of Science, CINAHL, and Cochrane) using a combination of keywords related to mHealth, cancer, and education. After finding articles at the initial search the screening has been done based on the inclusion and exclusion criteria. We included only original research articles and excluded all other types of publications, such as review papers, reports, editorials, letters to the editor, book reviews, short communications, conference proceedings, graduate dissertations, protocols, and commentaries. We extracted data on the characteristics and outcomes of the included studies using a standardized form. We conducted a narrative synthesis and inductive content analysis to summarize and categorize the evidence.

RESULTS

Out of 2131 records found in the initial search, 28 full-text articles reported on the use of mHealth educational interventions for cancer patients. The majority of the studies focused on breast cancer patients (n = 21, 75%). The most common type of mHealth intervention was exercise-based education delivered through various media such as text messages, videos, audio, images, and social networks. The main objectives of mHealth educational interventions were to enhance self-management skills, improve psychological well-being, and promote healthy lifestyle behaviors among cancer patients. The reported outcomes of mHealth interventions included reduced chemotherapy-related side effects, improved mental health, improved quality of life and lifestyle, and better pain management.

CONCLUSION

This scoping review showed that mHealth is a promising and feasible modality for delivering educational interventions to cancer patients. However, more rigorous and diverse studies are needed to evaluate the effectiveness and cost-effectiveness of mHealth interventions for different types of cancers, stages, and settings.

Medication supply chain resilience during disasters: exploration of causes, strategies, and consequences applying Strauss and Corbin's approach to the grounded theory

BACKGROUND

Due to the importance of procurement of medicines and medical supplies during disasters and the significance of an existing resilient supply chain, the present study aimed to explore the causes, strategies, and consequences of the medication supply chain resilience during the Kermanshah, Iran, earthquake experience in 2018.

METHODS

This was a qualitative study based on the grounded theory method. The suggested approach by Strauss and Corbin was used. Thirty-two in-depth and semi-structured interviews were conducted via theoretical sampling, and data were saturated. Open-ended and probing questions were used, and all the interviews were recorded with the prior permission of the participants. Field notes and memoing were also used along with the interviews. Transcribed data were analyzed in three levels of open coding, selective, and axial coding by two researchers with sufficient reflexivity without any conflict of interest.

RESULTS

The results led to the identification of eight main categories, including "Disaster Management Structure", "Information Management", "Supply Chain Monitoring", "Socio-Cultural Factors", "Planning", "Resource Management", "Medical Service Coverage", and "Waste of time and resources". According to Strauss and Corbin's model, socio-cultural factors and inappropriate structures and planning related to the health system during disasters may waste time and resources.

CONCLUSIONS

"Waste of time and resources" during disasters can be considered the main determinant that can damage the resilience of the medication supply chain. Policymakers need to seek applied strategies for decreasing waste. Socio-cultural interventions, preparedness of information infrastructures and coordination among the stewards and the community during disasters can help the supply chain preserve its resilience and act more effectively.

Determining the readiness of patients with renal failure to use health information technology

INTRODUCTION

Using information technology (IT) for purposes such as patient education and disease prevention and management is effective when patients are ready to use it. The objective of this study was to determine the readiness of patients with renal failure to use health IT.

METHODS

This study was performed on all dialysis patients in South Khorasan province (n = 263) using a 28-item questionnaire. The questionnaire consisted of (1) demographic information of participants and (2) questions concerning eight main factors including the need for information, desire to receive information, ability to use computers and the Internet, computers and the Internet anxiety, communication with physicians, using mobile phones and concerns about security and confidentiality of information. Descriptive statistics and Mann-Whitney and Kruskal-Wallis statistical tests were used to analyze the data.

RESULTS

About 15% of the participants stated that they do not want to receive information from the Internet. Anxiety and concern about Internet security and confidentiality were higher in women, married people, people over 60, villagers, and illiterate people (p < 0.05). Married people and people over 60 years had a higher desire to get information (p < 0.05). The rate of computer anxiety and Internet privacy concern was higher than average (p < 0.001). Most patients (34.2%) could only send text messages using mobile phones.

CONCLUSION

Despite the need of most patients to online health information, they do not use this information due to a lack of skills and experience to use IT. Therefore, the ability of users should be considered when developing IT-based interventions. Due to patients' concerns about Internet privacy, it is required to teach patients how to protect their privacy while using the Internet.

Dentistry website analysis: An overview of the content of formulated questions and answers

Aim

This study aimed to analyze the content of questions and answers posted on dentistry websites.

Subject and methods

A mixed-method study was conducted in 2020. A total of 1354 related questions were included, of which 1182 were answered by dentists. The data was analyzed quantitatively according to the classification of the questions, main complaints of the subjects and length of the questions and answers using Excel₂₀₁₃. A qualitative content analysis was carried out also for data robustness and triangulation.

Results

Of the 1354 questions, 866 of them were categorized into 11 categories according to the main sub-classes of the International Classification of Diseases to Dentistry and Stomatology. Furthermore, the inquiries were allocated to 3 communication styles to present the users' main complaints that included contextual (52.33%), emotional (6.79%) and focal (40.89%) strategies. Results of the qualitative content analysis have led to 6 main themes: seeking the related recommendations of any actions, treatment seeking, information seeking, seeking for causes and reasons, seeking for oral and dental health recommendations and seeking for the dentists' diagnosis or comments.

Conclusions

The present study can be used for designing specific customized websites of dentistry and help the website managers for better optimization of the websites. All these interventions can pave the way for developing teleconsulting in dentistry for middle-income countries.

Assessing the online search behavior for COVID-19 outbreak: Evidence from Iran

Introduction

Google Trends (GT) is an important free tool for online search behavior analysis, which provides access to Internet search patterns in Google. In recent decades, this database has been used for predicting the outbreak of epidemics and pandemics in different regions of the world. The present study aimed to evaluate Iranian users’ COVID-19-related online search behavior.

Methods

This longitudinal study was conducted in 2021. The data of Iranian users’ COVID-19-related online search behavior (trend) were collected from the GT website, and the epidemiological data of the COVID-19 outbreak in Iran from 16 February 2020 to 2 January 2021 were sourced from the Iranian ministry of health and medical education, as well as the World Health Organization. The data were analyzed in SPSS using descriptive and inferential statistics.

Results

All the COVID-19-related search terms in Iran gained their highest popularity value (relative search volume = 100) in the first 8 weeks of the pandemic, and then this value assumed a decreasing trend over time. Based on factor analysis, relative search volume (RSV) of factor 1 terms (related to corona [in Persian] and corona) have a low significance relationship with COVID-19 epidemiological data in one-, two-, and three-week time lags. Although, RSV of factor 2 terms (related to COVID [in Persian], COVID-19, and coronavirus) correlated with the total weekly number of COVID-19 cases in mentioned time lags.

Conclusion

COVID-19-related search terms were popular among Iranian users at the beginning of the pandemic. The online search queries and the key terms searched by Iranian users varied during the COVID-19 pandemic. This study provides evidence in favor of the adoption of GT as an epidemiological surveillance tool but, it is necessary to consider that mass media and other confounders can significantly influence RSVs.

The Applications of Machine Learning Algorithms in Multiple Sclerosis: A Systematic Review

Multiple Sclerosis (MS) is a common chronic disease that affects society, especially young people. In recent years, data sciences have been used extensively to deal with the disease. Machine learning is one of the main data sciences types which has been used to deal with chronic diseases such as MS. This study aimed to identify the applications of machine learning algorithms in MS disease. This study is a systematic review that conducted in 2020. The searches were done in PubMed, Scopus, ISI Web of Sciences, Ovid, Science Direct, Embase, and Proquest scientific databases, by combining related keywords. Data extraction was done by using a data extraction form to follow the trends of this field of study. The results of the study showed that diagnosis of MS was the main application of machine learning in MS (33.3 %); also, assessment (24.24%) and prediction (18.18 %) of the disease were other main applications. The most used data type was medical images such as MRI and CT scans (55.17 %). The most used machine learning algorithm type was Support Vector Machine (SVM) (30 %) as a classification algorithm. The most optimized algorithm for the diagnosis and prediction of MS was KNN. It’s suggested to use machine learning algorithms to diagnose, assess, predict lesion classification, treatment, and severity determining of MS disease. Although the most common form of data used for MS is medical images, it is suggested that other types of data are generated to be used in machine learning algorithms. Considering the optimization rate of the algorithms used, it is suggested to pay more attention to the type of data and study objectives in data analysis using machine learning.

Developing a Multifaceted Evaluation Tool for Electronic Prescribing System: A Study from a Developing Country

: Evaluation of electronic prescribing systems (EPS) can contribute to their quality assurance, and motivate users and policy-makers to implement these systems, directly influencing the health of society. An appropriate evaluation tool plays a determining role in the identification of proper EPS. The present study aimed to develop a multifaceted evaluation tool for assessing the EPS. This study was conducted in two main steps in 2018. In the first step, we conducted a literature review to find the main features and capabilities of the prosperous EPS. In the second step, a Delphi method was used for determining the final criteria for evaluating EPS. After preparing a primary questionnaire based on the first step results, 27 expert stakeholders from related fields participated in this 3-phase Delphi study. The narrative content analysis and descriptive statistics were used for data analysis. The final evaluation tool consists of 61 questions in 10 main dimensions, including practical capabilities of the process/user and patient safety, data storage and transfer, prescription control and renewal, technical functions, user interfaces, security and privacy, reporting, portability, hardware and infrastructure, and system failure/recovery. The evaluation tool developed in this study can be used for the critical appraisal of features of EPS. It is recommended that this multifaceted evaluation tool be employed to help buyers compare different systems and assist EPS software vendors in prioritizing their activities regarding the system development. By using this tool, healthcare organizations can also choose a system that improves many aspects of health care.

How COVID-19 affects the use of evidence informed policymaking among iranian health policymakers and managers

BACKGROUND

The COVID-19 pandemic increased the need for new valid scientific evidence to support urgent clinical and policy decision making; as well as improved processes for the rapid synthesis, uptake and application of that evidence. Evidence informed policymaking (EIPM) can be considered as a way to access and use the results of evidence in practice. This study aimed to determine what effects COVID-19 had on the way Iranian health managers and policymakers use evidence in their decisions.

METHODS

This study was conducted in 2021 applying a qualitative research design. Data was collected through semi-structured interviews. Thirty health care managers, policy makers and medical university faculty members were recruited as the study participants, initially via a purposive sample, followed by snowballing. A conventional content analysis presented by Hsieh and Shannon (2005) was applied for data analysis.

RESULTS

Ten main themes emerged from the data including: 1) roles and duties of knowledge brokers (KBs); 2-5) the roles, benefits, barriers and necessities of applying Knowledge Translation Exchange (KTE) tools; 6-8) the facilitators, benefits and barriers to the application of evidence during COVID-19; 9) challenges of rapid evidence production evidence during COVID-19 and 10) consequences of not applying evidence during COVID-19. According to the present conceptual framework, KBs act as an intermediator between the large amounts of knowledge produced and decision makers. KTE tools should be applied to enhance EIPM during COVID-19. Attention should be paid to the facilitators, barriers, benefits and necessities of evidence application during COVID-19 to avoid negative consequences for the health system.

CONCLUSIONS

Results of this study show that developing KTE tools and activating KBs can be among the main strategies to produce applied actionable messages for policymakers to move toward EIPM; and that this applies even when rapid decision making is required, such as during the COVID-19 pandemic. It is strongly recommended to reinforce the local capacities through supporting scientific networks and relationships between research centers and local and national policymakers. At the same time, attention to local barriers to and facilitators of the application of evidence while facing a pandemic can pave the way to better identification of health system`s problems and rapid responses.

Factors influencing access and utilization of health services among older people during the COVID - 19 pandemic: a scoping review

Background

Access to healthcare and service utilization are both considered essential factors for improving the general health and wellbeing of older people, especially at the time of COVID-19 pandemic. The aim of the study is to explore factors affecting healthcare access and health service utilization for older people during the pandemic.

Methods

PubMed, Web of Science, Scopus and Embase were systematically searched for relevant articles. Access, utilization, health, elderly and COVID-19 were used as keywords in the search strategy. A total of 4308 articles were identified through the initial database search; 50 articles were included in the review as passing the eligibility criteria. The searches were conducted up to August 2021. Data extraction was performed, and evidence was descriptively illustrated. Thematic analysis was used to explore factors influencing the elderly’s access and utilization of healthcare services, using Max QDA₁₀, a qualitative analysis software.

Results

Among articles included in the review (n = 50), a majority of the studies were from the United States (36%), followed by India (8%). According to the main healthcare services, a large number of articles (18%) were related to mental health services, followed by digital health services (16%). Factors were identified at an individual, provider and systems level. Seven main themes emerged from the thematic analysis, as determinants of elderly’s access and utilization of healthcare services during COVID-19 pandemic. These included: access to non-COVID related services, access to COVID-related services, literacy and education, accommodation challenges, perceived attitudes of aging, and policies and structures, and social determinants.

Conclusion

Mental health and digital health services were identified as major issues influencing or contributing to or influencing older people’s health during the COVID-19 pandemic. We also argue on the importance of a rounded view, as attention to a range of factors is vital for policy decisions towards sustainable care and equitable interventions for improving the health of older people.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13690-021-00719-9.

The impact on health outcomes of implementing electronic health records to support the care of older people in residential aged care: A scoping review

AIM

The implementation of electronic health records (EHRs) in the aged care sector has been shown to improve efficiency and quality of care, administrative and funding processes. The aim of this study was to examine whether implementing EHRs and/or interventions leveraging EHRs in residential aged care facilities has any impact on health outcomes for residents and to review and summarise any published evidence.

METHODS

Using the Joanna Briggs Institute guidelines for conducting scoping reviews, we searched PubMed, CINAHL, Embase, Cochrane and Scopus databases for articles describing the impact of EHRs and/or EHR-based interventions on health outcomes for residents in residential aged care. We included journal articles published in English between 2009 and 2019. After identifying articles meeting the inclusion criteria, we extracted individual findings and produced a narrative summary.

RESULTS

Out of 6576 articles identified through database searches, seven met our inclusion criteria. The articles varied in study design, experimental methods, sample sizes and health outcomes assessed but there were no randomised controlled trials: four articles employed quantitative methods and three employed both quantitative and qualitative methods. The implementation of EHR-based interventions had positive impact on outcomes related to excessive weight loss, malnutrition, mobility, weighing of residents and use of antipsychotic medicines but had mixed impact (i.e., positive impact in some studies but non-significant or negative impact in others) on pressure ulcers, activities of daily living, behavioural symptoms, use of physical restraints and signs of depression. We also found that these interventions had no statistically significant impact on medication discrepancies, adverse drug events, falls or mortality.

CONCLUSION

In conclusion, research in this area is not yet comprehensive enough to reach a definitive conclusion on the impact of EHR-based interventions on health outcomes in residential aged care. As provider organisations increasingly implement EHRs, more research is needed to study their impact on resident health outcomes and examine how this impact eventuates.

Factors Affecting the Acceptance of Mobile Health by Medical Sciences Students: A Cross-Sectional Study

Background:

The use of mobile health has a pivotal role in the prevention and treatment of many diseases. This study aimed at determining the affecting factors in acceptance of mobile health by using a modified acceptance model, among medical sciences students in the south-west of Iran.

Materials and Methods:

This cross-sectional, analytical study was conducted in 2017. The research population included all the students of Lorestan University of Medical Sciences (LUMS). The 352 of students selected as the samples of study through a stratified sampling method. Data gathering was done through a valid and reliable questionnaire. The data was analyzed using Linear Structural Relations (LISREL) and Statistical Package for the Social Sciences (SPSS) software.

Results:

The findings showed that perceived usefulness (t_{7, 38}= 2.16, p = 0.03), performance expectancy (t_{7, 70}= 3.18, p = 0.01), facilitating conditions (t_{10, 61}= 4.17, p < 0.001), and attitude to use (t_{7, 14}= 5.49, p < 0.001) were effective in the behavior intention of mobile health. Moreover, the results showed that the behavior intention of mobile health applications (t_{10, 77}= 8.10, p < 0.001) is effective on its user behavior.

Conclusions:

The results of our study showed that perceived usefulness, performance expectancy, facilitating conditions, and attitude to use of technology were the affecting factors in the acceptance of mobile health by the students. It is suggested that the policymakers and authorities comprehensively consider these important factors when introducing new technologies.

COVID-19 on Instagram: A content analysis of selected accounts

OBJECTIVE

This study aimed to characterize the representation of public health information related to COVID-19 posted on Instagram in 2020.

METHODS

This qualitative content analysis study was conducted in Iran as one of the countries with the highest number of confirmed cases of COVID-19. Data were collected from the contents published from February 19 to April 3, 2020, on Instagram. The search feature of the Instagram app was used to find the posts related to Coronavirus or COVID-19. Overall, 1612 posts from 92 accounts were retrieved and analyzed using thematic analysis.

RESULTS

A total of 23 themes emerged from the analysis of the retrieved posts. These themes include epidemiology and statistics, training and caring, general prevention guidelines, hygiene, healthy diet and lifestyle, patients, diagnosis and treatment, personal protective equipment, traditional medicine, psychology, children, cultural aspects, socio-cultural impacts, religious, misinformation, and wrong behaviors, animals, satire, condition of the healthcare system, politics, quarantine, operations of the Iranian National Disaster Management Organization (NDMO), economic impacts, and world news.

CONCLUSION

The contents analysis of Instagram posts during a public health crisis can provide new and realistic insights into the crisis and identify the topics of interest or concern of the public. Furthermore, the information collected in this way can help policymakers identify the most critical issues from the public perspective and utilize the gained knowledge to manage the ongoing and future pandemics.

What is Digital Health? Review of Definitions

Digital technologies are transforming the health sector all over the world, however various aspects of this emerging field of science is yet to be properly understood. Ambiguity in the definition of digital health is a hurdle for research, policy, and practice in this field. With the aim of achieving a consensus in the definition of digital health, we undertook a quantitative analysis and term mapping of the published definitions of digital health. After inspecting 1527 records, we analyzed 95 unique definitions of digital health, from both scholar and general sources. The findings showed that digital health, as has been used in the literature, is more concerned about the provision of healthcare rather than the use of technology. Wellbeing of people, both at population and individual levels, have been more emphasized than the care of patients suffering from diseases. Also, the use of data and information for the care of patients was highlighted. A dominant concept in digital health appeared to be mobile health (mHealth), which is related to other concepts such as telehealth, eHealth, and artificial intelligence in healthcare.

Education and Training on Electronic Medical Records (EMRs) for health care professionals and students: A Scoping Review

BACKGROUND AND OBJECTIVES

The ability of health care providers and students to use EMRs efficiently can lead to achieving improved clinical outcomes. Training policies and strategies play a major role in successful technology implementation and ongoing use of the EMR systems. To provide evidence-based guidance for developing and implementing educational interventions and training, we reviewed and summarized the current literature on EMR training targeting both healthcare professionals (HCP) and students.

METHODS

We used the Joanna Briggs Institute (JBI) approach for scoping reviews and the PRISMA extension of scoping reviews (PRISMA-ScR) checklist for reporting our review. 46 full-text articles that met the eligibility criteria were selected for the review. Narrative synthesis was performed to summarize the evidence using numerical and descriptive analysis. We used inductive content analysis for categorizing the training methods. Also, the modified version of the Kirkpatrick's levels model was used for abstracting the training outcome.

RESULTS

Five types of training methods were identified: one-on-one training, peer-coach training, classroom training (CRT), computer-based training (CBT), and blended training. A variety of CBT platforms were used, including a prototype academic electronic medical record system (AEMR), AEMR/simulated EMR (Sim-EMR), mobile based AEMR, eLearning, and electronic educational materials. Each training intervention could have resulted in several outcomes. Most outcomes were related to levels 1-3 of the Kirkpatrick model that involves learners (n = 108), followed by level 4a that involves organizations (n = 7), and lastly level 4b that involves patients (n = 1). The outcomes related to participants' knowledge (level 2b) was the most often measured training outcome (n = 44).

CONCLUSIONS

This review presents a comprehensive synthesis of the evidence on EMR training. A variety of training methods, participants, locations, strategies, and outcomes were described in the studies. Training should be aligned with the particular training needs, training objectives, EMR system utilized, and organizational environment. A training plan should include an overall goal and SMART (Specific, Measurable, Achievable, Realistic, Tangible) training objectives, that would allow a more rigorous evaluation of the training outcomes.

Main Elements of National Model of Electronic Prescription System from Physicians' Point of View: A Case Study in a Developing Country

Identifying the factors and components of an electronic prescription system is of utmost importance in effective designing and implementation of this system. In this regard, the current study was conducted to determine the main factors affecting the national model of electronic prescription from the physicians' point of view. This is a cross-sectional, descriptive-analytical research carried out in 2015. Based on the census sampling method, 104 members of the board of directors of the Iranian general practitioners' associations, general practitioners' alumni association of Iran, and physicians owner of a website or weblog were selected as samples for this study. Data were collected using a valid and reliable questionnaire. After analyzing the data with SPSS software (v.16), a model was proposed using a regression algorithm. The findings indicated that accessing the current medication data and medication history of patients during prescription, and also creating the electronic patient medication record (ePMR) are the most important selective components for physicians with frequency percent of 92.1%. Moreover, from the physicians' viewpoint, the method of "transmission of prescriptions to the central national database and retrieving prescriptions information from the selected pharmacy of the patient" had the highest priority (weight coefficient) in the model of the national electronic prescription system. Therefore, the Iranian prescription system is required to be developed based on the centralized architecture and national electronic prescription database.

Effective Factors in Adoption of Mobile Health Applications between Medical Sciences Students Using the UTAUT Model

BACKGROUND

 Students with complex health care services process face constant challenges with regard to health education. The mobile devices are an important tool that can install various applications for using information such as clinical guidelines, drug resources, clinical calculations, and the latest scientific evidence without any time and place limitations. And this happens only when students accept and use it.

OBJECTIVE

 The purpose of this article is to identify the factors influencing students in their intention to use mobile health (mHealth) by using Unified Theory of Acceptance and Use of Technology (UTAUT) model.

METHODS

 A standard questionnaire was used to collect the data from nearly 302 Lorestan University of medical science students including nutrition and public health, paramedicine, nursing and midwifery, pharmacy, dentistry, and medical schools. The data were processed using LISREL (Scientific Software International, Inc., Lincolnwood, Illinois) and SPSS (IBM Corp., Armonk, New York) softwares and the statistical analysis technique was based on structural equation modeling (SEM).

RESULT

 A total of 300 questionnaires including valid responses were used in this study. The results showed that mediator of age did not affect the predictors of intention to use mHealth, and the level of education and gender directly affected the intention to use. In addition, effort expectancy, facilitating condition, and behavioral intention directly and indirectly have effect on use, whereas the result revealed no significant relationship between two important processes of performance expectancy and social influence with students' behavioral intention to use the mHealth.

CONCLUSIONS

 The present study provides valuable information on mobile health acceptance factors for widespread use of this device among students of universities of medical sciences as a base infrastructure for a variety of information about health services and learning. Review and comparison of results with other studies showed that mHealth acceptance factors were different from other end users (elderly, patients, and health professionals).

Components Affecting Pharmaceutical Strategic Purchasing: A Scoping Review

Pharmaceutical strategic purchasing is considered as a key to improve access to medicines especially for developing countries. The aim of this scoping review is to determine the most important components affecting pharmaceutical strategic purchasing. Here, we employed a comprehensive search strategy across PubMed, ProQuest, EBSCO, ISI Web of Science, Scopus, ScienceDirect, and Google Scholar for the terms related to medicines strategic purchasing. Among 13 included studies, 7 (53.85%) and 6 (46.15%) studies belonged to the developing and developed countries, respectively. Six main variables were emphasized as the effective variables on medicines strategic purchasing, including purchasing interventions, target group and service users, providers and suppliers of interventions, methods and motivations, price, and finally structure and organization. It seems that the insurance organizations of developing countries can achieve strategic purchasing only through the modification of the pharmaceutical pricing system and payment systems. Furthermore, they should pay attention to the real needs of target groups (demand) and modify the structure and organization as well as purchasing the most effective medicines from the best pharmaceutical providers.

E- Mail Communication Applications in Patient Physician Communication: A Systematized Review

Introduction: Email is a beneficial way in order to increase interaction between patients and physicians. Since using this technology, patients and different physicians are able to increase patients’ health level and the amount of physicians’ duties. This study was done to identify the applications of email in communications between patients and physicians.Materials and Methods: The current study is a systematized review conducted in 2019. The literature search done by the relevant keywords to the subject in databases:  Web of Science, Scopus, PubMed, Science Direct and Cochran. After applying inclusion and exclusion criteria 34 articles were included. Based on the study’s aim, results were summarized and reported by Content Analysis Technique.Results: The results showed that 15 articles (44%) using email technology to investigate laboratory’s resources. Utilizing email in 9 articles (26%) showed that it caused an improvement in healthcare quality.  Conclusion: Results showed that use of email’s capabilities has a key role in improving healthcare quality as well as time saving. So, we suggest that the authorities deploy certain and codified mechanism in order to utilizing email communication between patients and physicians. 

Formulating Telemedicine Strategies in Isfahan University of Medical Sciences

INTRODUCTION

The use of telemedicine technology can lead to an equitable distribution of specialized care. There are numerous influencing factors which should be identified for successful implementation and efficacy of telemedicine. The aim of this study was to evaluate current situation and internal and external environment of Isfahan University of Medical Sciences (IUMS) and prepare telemedicine development strategies for IUMS.

METHODS

This study was an applied cross-sectional mixed method study which was conducted between July 2014 to November 2016 and in five phases in IUMS. a) Evaluating Internal and external factors (IFE & EFE); b) Formulating goals; c) Identifying and prioritizing strategic problems; d) Setting objectives; and e) formulating the strategies to develop telemedicine in IUMS. The research sample included 147 of IUMS inner customers and stakeholders in the first phase (census) and 14 in the second phase (Purposive sampling based on more work experience). In the first phase, to analyze obtained data of two researcher-made questionnaires, measures of central tendency and dispersion (frequency, percent and mean) were calculated using SPSS. To evaluate internal and external factors and formulating strategies was used TOWS matrix. And finally, to select optimal strategies for telemedicine developing quantitative strategic planning matrix was used.

RESULTS

The final score of internal and external factors evaluation was 2.67 and 2.68, respectively. According to the strategic position and action evaluation (SPACE), telemedicine strategic planning in IUMS was in aggressive posture. Because the numbers were closer to 2.5 can be concluded that based on internal factors the organization was in moderate to strong and based on external factors was in a moderate level and neither have a serious positive feature for use the opportunities outside the organization and suffered a serious threat from the outside of organization. Finally, we formulated 14 strategies to develop telemedicine in IUMS as followings: 5 SO, 2 ST, 5 WO, and 2 WT strategies.

CONCLUSION

Telemedicine development in IUMS is located in poor aggressive posture. Therefore, IUMS can develop telemedicine and subsequently, in this study, strategies were developed to preserve and retain healthcare workers, practical studies, data confidentiality and security programs, and other issues.

The Applications of Virtual Reality Technology in Medical Groups Teaching

INTRODUCTION

Virtual reality is a new method for training different medical groups. Based on this technology, professionals and students of various medical sciences can determine their level of competence for medical treatment before any performance on the patient. Therefore, the aim of this study was to identify the applications of virtual reality technology for training the medical groups.

METHODS

This is a scoping review study conducted in 2016. Articles were retrieved through the search of related keywords in databases such as Pub Med, Scopus, Web of Sciences, Springer, and Google scholar. Then, after applying the entry criteria, 21 papers were selected from a total of 1343. Data extraction was done by a data collection form. The collected data were summarized and reported using content analysis technique according to the study purpose.

RESULTS

The findings of the study indicated that 11 cases (48%) have used virtual education technology for laparoscopic surgery training. Using virtual reality has improved learning in 17 (74%) studies. A higher accuracy in medical practice by people trained through VR has been reported in 20 (87%) studies.

CONCLUSION

The results indicate that the application of virtual reality capabilities plays an important role in improving the performance of different medical groups. According to the results, it can be suggested that virtual reality capabilities should be used to train different medical groups based on their individual and collective needs.

Qualitative analysis of national documents on health care services and pharmaceuticals` purchasing challenges: evidence from Iran

Background

Iranian health sector encountered many challenges in resource allocation and health service purchasing during the past decades, the aim of this study was to determine the main challenges of the present process of health service purchasing for national policymakers and other developing countries with the same setting.

Methods

It was a qualitative study carried out via the complete content analysis of all relevant national documents from 2007 to 2014. In order to retrieve the related documents, we searched the official websites related to the Ministry of Health and Medical Education, four main Iranian insurance organizations, the Health Committee of the Parliament Profile, strategic vice president’s site and Supreme Insurance Council. After recognition of documents, their credibility and authenticity were evaluated in terms of their publication or adjustment. For the analysis of documents, the four step-Scott method was used applying MAXQDA version 10.

Results

Findings illustrated that health service purchase challenges in the country can be classified in 6 main themes of policy-making, executive, intersectional, natural, legal and informational challenges with 26 subthemes. Furthermore, 5 themes of Basic Benefit Package, Reimbursement,Decision making, Technology and Contract are considered as the main Challenges in pharmaceutical purchasing area containing 13 relevant subthemes.

Conclusions

It seems that according to documents, Iran has faced many structural and procedural problems with the purchase of the best health interventions. So it is highly recommended to consider consequences derived from the present challenges and try to use these evidences in their policy making process to decrease the existed problems and move to better procurement of health interventions.

Factors Affecting Acceptance of Hospital Information Systems Based on Extended Technology Acceptance Model: A Case Study in Three Paraclinical Departments

OBJECTIVE

Regardless of the acceptance of users, information and communication systems can be considered as a health intervention designed to improve the care delivered to patients. This study aimed to determine the adoption and use of the extended Technology Acceptance Model (TAM2) by the users of hospital information system (HIS) in paraclinical departments including laboratory, radiology, and nutrition and to investigate the key factors of adoption and use of these systems.

MATERIALS AND METHODS

A standard questionnaire was used to collect the data from nearly 253 users of these systems in paraclinical departments of eight university hospitals in two different cities of Iran. A total of 202 questionnaires including valid responses were used in this study (105 in Urmia and 97 in Khorramabad). The data were processed using LISREL and SPSS software and statistical analysis technique was based on the structural equation modeling (SEM).

RESULTS

It was found that the original TAM constructs had a significant impact on the staffs' behavioral intention to adopt HIS in paraclinical departments. The results of this study indicated that cognitive instrumental processes (job relevance, output quality, result demonstrability, and perceived ease of use), except for result demonstrability, were significant predictors of intention to use, whereas the result revealed no significant relationship between social influence processes (subjective norm, voluntariness, and image) and the users' behavioral intention to use the system.

CONCLUSION

The results confirmed that several factors in the TAM2 that were important in previous studies were not significant in paraclinical departments and in government-owned hospitals. The users' behavior factors are essential for successful usage of the system and should be considered. It provides valuable information for hospital system providers and policy makers in understanding the adoption challenges as well as practical guidance for the successful implementation of information systems in paraclinical departments.

Acceptance of Health Information Technologies, Acceptance of Mobile Health: A Review Article

BACKGROUND

Mobile health is one of the new technologies for the utilization of health information. For its successful implementation as well as any other system, we must primarily measure the adoption and use of its factors. The purpose of this study was to systematically investigate published articles about the factors affecting the adoption of mobile health and categorizing the factors affecting the adoption of this system.

METHODS

This study is a comprehensive review done by searching major databases such as Google Scholar, Emerald, Science Direct, Iran Medex, SID, Magiran, Pub med, etc. In addition, we use Mobile, mobile Health + adoption, mobile Health + TAM, Health + TAM keywords in the range of 2004 to 2015.

RESULTS

Among the studies that use information technology theories to survey the factors affecting the adoption of mobile health, TAM model was used more than other models. Factors such as perceived ease of use, perceived usefulness and facilitating condition form TUATU are the most effective in the adoption of mobile health.

CONCLUSION

Results showed that by considering factors such as perceived ease of use, perceived usefulness and facilitating condition can increase the adoption of mobile health system. Consequently, these factors are recommended to be considered in planning to run systems.

Information Processing in Nursing Information Systems: An Evaluation Study from a Developing Country

Background:

In recent years, information technology has been introduced in the nursing departments of many hospitals to support their daily tasks. Nurses are the largest end user group in Hospital Information Systems (HISs). This study was designed to evaluate data processing in the Nursing Information Systems (NISs) utilized in many university hospitals in Iran.

Methods and Materials:

This was a cross-sectional study. The population comprised all nurse managers and NIS users of the five training hospitals in Khorramabad city (N = 71). The nursing subset of HIS-Monitor questionnaire was used to collect the data. Data were analyzed by the descriptive-analytical method and the inductive content analysis.

Results:

The results indicated that the nurses participating in the study did not take a desirable advantage of paper (2.02) and computerized (2.34) information processing tools to perform nursing tasks. Moreover, the less work experience nurses have, the further they utilize computer tools for processing patient discharge information. The “readability of patient information” and “repetitive and time-consuming documentation” were stated as the most important expectations and problems regarding the HIS by the participating nurses, respectively.

Conclusions:

The nurses participating in the present study used to utilize paper and computerized information processing tools together to perform nursing practices. Therefore, it is recommended that the nursing process redesign coincides with NIS implementation in the health care centers.

Developing a national formulary based on a unified payment system in Iran

Introduction

The national formulary plays an important role in increasing access to medicine and correct drug information based on national considerations. However, this study aimed to provide a model for development of national formulary based on a unified payment system in Iran.

Methods

This study used a combination of descriptive, comparative, and qualitative methods. It was an applied developmental study in 2016. The data were collected using a form based on the World Health Organization’s (WHO) standard model for national formulary. Using census method, all national formulary of countries available on the WHO website (n=14) were selected for study. The similarities and differences of national formulary of these countries and Iran were compared with the WHO’s standard model. Then, Iran’s national formulary content was determined using comparative study results and opinions of an expert panel consisting of 12 faculty members and assistants of the medicine economy.

Results

Results showed that the content of national formulary in studied countries is consistent with the WHO model. They consisted of four parts: introductory information, medicine information and monograph, appendices, and alphabetical index. In the introductory, which was out of elements of the WHO, the drug selection and advice to patients’ criteria in the preliminary information part of used dose and its side effects in drug monograph and information had the highest frequency. The lowest frequency was for medicine pharmacology and pharmacokinetics in the medicine monograph section. The most common data element in the appendix was related to drug interactions, and the lowest frequency was related to hepatic impairment and renal impairment. All data elements were confirmed by an expert panel. They stated that, after the component of common brand name, the drug cost effectiveness and drug code are necessary for each drug in the drug monograph section.

Conclusion

This study provided an updated model and structure for developing national formulary of Iran based on a unified reimbursement system, WHO model, comparative study of national formulary of selected countries, and the opinion of an expert panel in the field of medicine economy. This model may provide reliable information for health employees and managers and improve the effective and safe use of medicines. Also, the creation of drug formulary based on this model and using it may facilitate the selection of standard and high-quality medicines from among different companies and brands, comparing them with each other, prescribing high-quality medicine with lower price, and avoiding the impact from advertisements.

A Copmarative Review of Electronic Prescription Systems: Lessons Learned from Developed Countries

This review study aimed to compare the electronic prescription systems in five selected countries (Denmark, Finland, Sweden, England, and the United States). Compared developed countries were selected by the identified selection process from the countries that have electronic prescription systems. Required data were collected by searching the valid databases, most widely used search engines, and visiting websites related to the national electronic prescription system of each country and also sending E-mails to the related organizations using specifically designed data collection forms. The findings showed that the electronic prescription system was used at the national, state, local, and area levels in the studied countries and covered the whole prescription process or part of it. There were capabilities of creating electronic prescription, decision support, electronically transmitting prescriptions from prescriber systems to the pharmacies, retrieving the electronic prescription at the pharmacy, electronic refilling prescriptions in all studied countries. The patient, prescriber, and dispenser were main human actors, as well as the prescribing and dispensing providers were main system actors of the Electronic Prescription Service. The selected countries have accurate, regular, and systematic plans to use electronic prescription system, and health ministry of these countries was responsible for coordinating and leading the electronic health. It is suggested to use experiences and programs of the leading countries to design and develop the electronic prescription systems.

The performance implications of pharmacy information system at the university teaching hospitals of Shiraz, Iran: Cluster approach

Pharmacy information system (PIS) is becoming vital in assisting pharmacists to do their responsibilities. The aim of this study was to identify the current PIS implications in teaching hospitals affiliated with Shiraz University of Medical Science. This cross-sectional study was conducted in teaching hospitals affiliated with Shiraz University of Medical Science over the year 2016. Data were collected by observing the PIS as well as interviewing its users based on the researcher-made checklist. The checklist was prepared based on reviewing the Persian and English literature and its content validity was approved by the experts. To determine the reliability of the checklist, inter-rater reliability was used. Data were analyzed using SPSS₁₆, and hospitals were clustered using SK-means method. In this study, the least conformity to the standards was shown in smart clinical features (4.54%), pharmaceutical companies' relationship (32.6%), and optimization of drug therapy (34.6%). In contrast, the highest conformity to the standards was shown in reporting capabilities (77.3%) and entry information and input (70.4%). Medication stock checking and optimization of drug therapy were effective features that have made a distinction between hospitals and lead to 95% variance between clusters. Based on the results, the current PIS design pays less attention to clinical features. Besides, clinical information for pharmacists and outside organization relationship were not provided by the current system. Thus, emphasis should be placed on the implementation of corrective actions to eliminate the current system's deficiencies.

Components that affect the Implementation of Health Services' Strategic Purchasing: A Comprehensive Review of the Literature

Introduction

Strategic purchasing is one of the mechanisms that can increase access, equity, and efficiency as well as the correct management of health resources. The aim of this study was to extract important and influential factors as necessary infrastructures to implement this method.

Methods

In this comprehensive literature review, 13 databases and search engines were searched from 2000 to 2015 by applying appropriate keywords. From a total of 1403 titles and after ensuring the validity of the study by the Clinical Appraisal Skills Program (CASP) tool, 18 articles that contained title, abstract, and associated text were used in the study, and their related information was analyzed and extracted using an extraction form and LitAssist software.

Results

The findings showed six categories of intervention have been effective in the strategic purchasing of all health interventions in different countries. These six categories were “The target group of users of the service” (demand side), “purchased interventions,” “providers and suppliers of interventions” (the supply side), “Methods and incentives” (payment method), “price,” and “Structure and organization.”

Conclusion

Although the necessity of performing strategic purchasing in the health sector or developing countries is an indisputable fact, it is of great importance to use the experiences of developed countries while considering the factors extracted from the study for implementing this method. In this regard, it is suggested that studies be performed that can lead to assessing the feasibility of strategic purchasing for health services in developing countries and also in Iran to help health policy makers in these countries.

Requirements and Incentives for Implementation of Pharmaceutical Strategic Purchasing in Iranian Health System: A Qualitative Study

PURPOSE: According to the importance of strategic purchasing as a prerequisite for overall access and universal health coverage, this study was conducted to explore requirements and incentives for implementation of pharmaceutical strategic purchasing in the Iranian health system.METHODS: This was a qualitative study conducted through content analysis with an inductive approach applying a five-stage framework analysis. Data analysis was started right after transcribing each interview applying MAXQDA10. Data was saturated after 32 semi-structured interviews with experts. These key informants were selected purposefully and through snowball sampling.RESULTS: The findings are categorized under three main themes: “Payment Mechanisms to Service Providers”, “Insurance Reimbursement Mechanisms” and “Rules and Regulations”, and eight related subthemes.CONCLUSIONS: According to the importance of incentive interventions in pharmaceutical strategic purchasing, it is necessary to pay close attention to pharmaceutical price, realistic and fair premiums and appropriate contracts with suppliers, along with estimation a reasonable profit margin for pharmaceutical suppliers and the appropriate reimbursement mechanisms as the most significant incentives for increasing access to pharmaceuticals and implementing strategic purchasing.

Quality of Public Hospitals Websites: A Cross-Sectional Analytical Study in Iran

Introduction:

Nowadays, hospitals have turned increasingly towards the Internet and develop their own web presence. Hospital Websites could be operating as effective web resources of information and interactive communication mediums to enhance hospital services to the public.

Aim:

Therefore, the aim of this study was to assess the quality of websites in Tehran’s public hospitals.

Material and methods:

This cross-sectional analysis involved all public hospitals in Iran’s capital city, Tehran, with a working website or subsites between April and June, 2014 (N=59). The websites were evaluated using three validated instruments: a localized checklist, Google page rank, and the Alexa traffic ranking. The mentioned checklist consisted of 112 items divided into five sections: technical characteristics, hospital information and facilities, medical services, interactive on-line services and external activities. Data were analyzed using descriptive and analytical statistics.

Results:

The mean website evaluation score was 45.7 out of 224 for selected public hospitals. All the studied websites were in the weak category based on the earned quality scores. There was no statistically significant association between the website evaluation score with Google page rank (P=0.092), Alexa global traffic rank and Alexa traffic rank in Iran (P>0.05). The hospital websites had a lower quality score in the interactive online services and external activities criteria in comparing to other criteria. Due to the low quality level of the studied websites and the importance of hospital portals in providing information and services on the Internet, the authorities should do precise planning for the appreciable improvement in the quality of hospital websites.

Applications of Information Technology in Nursing During 2005-15: Evidence from Iran

In this ever-changing health care environment, nurses employ technologies and information systems to accomplish the intentions of the practice of nursing. Information technology supports the basic and advanced nursing practices in all settings. This review provides evidence about applications of information technology in Iranian nursing. We systematically searched all papers about applications of information technology in nursing in Iran that were indexed in SID, Magiran, Iran medex, PubMed and scopus databases. This study indicated that 12 (%52) studies used information technologies in the nursing education domain. Also, in 6 (%26) studies telenursing was used for patient care. 3 (13%) of the articles were related to the impact of the use of computer-based information system on nursing practice. In 2 (%9) papers the researchers developed computerized software for nursing processes. The results of this study indicate the use of information technology in nearly every aspect of nursing in Iran.

Managing the security of nursing data in the electronic health record

Background:

The Electronic Health Record (EHR) is a patient care information resource for clinicians and nursing documentation is an essential part of comprehensive patient care. Ensuring privacy and the security of health information is a key component to building the trust required to realize the potential benefits of electronic health information exchange. This study was aimed to manage nursing data security in the EHR and also discover the viewpoints of hospital information system vendors (computer companies) and hospital information technology specialists about nursing data security.

Methods:

This research is a cross sectional analytic-descriptive study. The study populations were IT experts at the academic hospitals and computer companies of Tehran city in Iran. Data was collected by a self-developed questionnaire whose validity and reliability were confirmed using the experts’ opinions and Cronbach’s alpha coefficient respectively. Data was analyzed through Spss Version 18 and by descriptive and analytic statistics.

Results:

The findings of the study revealed that user name and password were the most important methods to authenticate the nurses, with mean percent of 95% and 80%, respectively, and also the most significant level of information security protection were assigned to administrative and logical controls. There was no significant difference between opinions of both groups studied about the levels of information security protection and security requirements (p>0.05). Moreover the access to servers by authorized people, periodic security update, and the application of authentication and authorization were defined as the most basic security requirements from the viewpoint of more than 88 percent of recently-mentioned participants.

Conclusions:

Computer companies as system designers and hospitals information technology specialists as systems users and stakeholders present many important views about security requirements for EHR systems and nursing electronic documentation systems. Prioritizing of these requirements helps policy makers to decide what to do when planning for EHR implementation. Therefore, to make appropriate security decisions and to achieve the expected level of protection of the electronic nursing information, it is suggested to consider the priorities of both groups of experts about security principles and also discuss the issues seem to be different between two groups of participants in the research.

Health information on internet: quality, importance, and popularity of persian health websites

Background:

The Internet has provided great opportunities for disseminating both accurate and inaccurate health information. Therefore, the quality of information is considered as a widespread concern affecting the human life. Despite the increasingly substantial growth in the number of users, Persian health websites and the proportion of internet-using patients, little is known about the quality of Persian medical and health websites.

Objectives:

The current study aimed to first assess the quality, popularity and importance of websites providing Persian health-related information, and second to evaluate the correlation of the popularity and importance ranking with quality score on the Internet.

Materials and Methods:

The sample websites were identified by entering the health-related keywords into four most popular search engines of Iranian users based on the Alexa ranking at the time of study. Each selected website was assessed using three qualified tools including the Bomba and Land Index, Google PageRank and the Alexa ranking.

Results:

The evaluated sites characteristics (ownership structure, database, scope and objective) really did not have an effect on the Alexa traffic global rank, Alexa traffic rank in Iran, Google PageRank and Bomba total score. Most websites (78.9 percent, n = 56) were in the moderate category (8 ≤ x ≤ 11.99) based on their quality levels. There was no statistically significant association between Google PageRank with Bomba index variables and Alexa traffic global rank (P > 0.05).

Conclusions:

The Persian health websites had better Bomba quality scores in availability and usability guidelines as compared to other guidelines. The Google PageRank did not properly reflect the real quality of evaluated websites and Internet users seeking online health information should not merely rely on it for any kind of prejudgment regarding Persian health websites. However, they can use Iran Alexa rank as a primary filtering tool of these websites. Therefore, designing search engines dedicated to explore accredited Persian health-related Web sites can be an effective method to access high-quality Persian health websites.

Modeling of outpatient prescribing process in iran: a gateway toward electronic prescribing system

Implementation of electronic prescribing system can overcome many problems of the paper prescribing system, and provide numerous opportunities of more effective and advantageous prescribing. Successful implementation of such a system requires complete and deep understanding of work content, human force, and workflow of paper prescribing. The current study was designed in order to model the current business process of outpatient prescribing in Iran and clarify different actions during this process. In order to describe the prescribing process and the system features in Iran, the methodology of business process modeling and analysis was used in the present study. The results of the process documentation were analyzed using a conceptual model of workflow elements and the technique of modeling "As-Is" business processes. Analysis of the current (as-is) prescribing process demonstrated that Iran stood at the first levels of sophistication in graduated levels of electronic prescribing, namely electronic prescription reference, and that there were problematic areas including bottlenecks, redundant and duplicated work, concentration of decision nodes, and communicative weaknesses among stakeholders of the process. Using information technology in some activities of medication prescription in Iran has not eliminated the dependence of the stakeholders on paper-based documents and prescriptions. Therefore, it is necessary to implement proper system programming in order to support change management and solve the problems in the existing prescribing process. To this end, a suitable basis should be provided for reorganization and improvement of the prescribing process for the future electronic systems.

A theoretical approach to electronic prescription system: lesson learned from literature review

CONTEXT

The tendency to use advanced technology in healthcare and the governmental policies have put forward electronic prescription. Electronic prescription is considered as the main solution to overcome the major drawbacks of the paper-based medication prescription, such as transcription errors. This study aims to provide practical information concerning electronic prescription system to a variety of stakeholders.

EVIDENCE ACQUISITION

In this review study, PubMed, ISI Web of Science, Scopus, EMBASE databases, Iranian National Library Of Medicine (INLM) portal, Google Scholar, Google and Yahoo were searched for relevant English publications concerning the problems of paper-based prescription, and concept, features, levels, benefits, stakeholders and standards of electronic prescription system.

RESULTS

There are many problems with the paper prescription system which, according to studies have jeopardized patients' safety and negatively affected the outcomes of medication therapy. All of these problems are remedied through the implementation of e-prescriptions.

CONCLUSIONS

The sophistication of electronic prescription and integration with EHR will become a reality, if all its stakeholders collaborate in developing fast and secure electronic prescription systems. It is plausible that the required infrastructure should be provided for implementation of the national integrated electronic prescription systems in countries without the system. Given the barriers to the implementation and use, policymakers should consider multiple strategies and offer incentives to encourage e-prescription initiatives. This will result in widespread adoption of the system.