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.

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.

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.

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.

Digital Health in Children's Oral and Dental Health: An Overview and a Bibliometric Analysis.

Digital health technologies can widely increase access to oral health solutions and can make them easier to use and more accessible at all primary, secondary, and tertiary levels. This study aims to present a bibliometric analysis of published literature to identify the content, trends, and context of digital health technology use in children's oral and dental health. After finalising the research question, the Scopus database was used to search systematically for related keywords from 1997 to 2022. The PRISMA methodology applied for systematic reviews was adopted to refine search results. VOS viewer software was applied to illustrate the topics and trends of digital health technology involved in children's oral and dental health. An increase in use of the digital technologies was appeared in the index keywords after 2005. Computer-assisted therapy/surgery, computer simulation, computer program, image processing, nuclear magnetic resonance (NMR) imaging, and audio-visual equipment were more used index keywords in children's dental care re-search from 2005-2015. Telemedicine, mobile application, virtual reality, and medical information were reported with the index keywords of dental caries, dental procedures, and dental anxiety after 2015. The study also identified a gap in the published literature in applying newer digital technologies, such as the Internet of Things (IoT) and gamification, in oral and dental health research and practice. There is a growing tendency to use digital technologies in children's oral and dental health in recent years. Although the types and categorisations of the technology are typically diverse during the timeframe and by the area of dental services and oral health, identifying and categorizing these technologies based on oral health services could familiarise oral health policymakers with the application of the technology and help them design technology-based interventions to improve children's oral health.

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.

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.

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.

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.

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 (t7, 38= 2.16, p = 0.03), performance expectancy (t7, 70= 3.18, p = 0.01), facilitating conditions (t10, 61= 4.17, p < 0.001), and attitude to use (t7, 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 (t10, 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.

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.

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).

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.