Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data.

This study integrates geographical information systems (GIS) with a mathematical optimization technique to enhance emergency medical services (EMS) coverage in a county in the northeast of Iran. EMS demand locations were determined through one-year EMS call data analysis. We formulated a maximal covering location problem (MCLP) as a mixed-integer linear programming model with a capacity threshold for vehicles using the CPLEX optimizer, an optimization software package from IBM. To ensure applicability to the EMS setting, we incorporated a constraint that maintains an acceptable level of service for all EMS calls. Specifically, we implemented two scenarios: a relocation model for existing ambulances and an allocation model for new ambulances, both using a list of candidate locations. The relocation model increased the proportion of calls within the 5-minute coverage standard from 69% to 75%. With the allocation model, we found that the coverage proportion could rise to 84% of total calls by adding ten vehicles and eight new stations. The incorporation of GIS techniques into optimization modelling holds promise for the efficient management of scarce healthcare resources, particularly in situations where time is of the essence.

Development an extended-information success system model (ISSM) based on nurses' point of view for hospital EHRs: a combined framework and questionnaire.

BACKGROUND: Understanding the hospital EHR success rate has great benefits for hospitals. The present study aimed to 1-Propose an extended-ISSM framework and a questionnaire in a systematic manner for EHR evaluation based on nurses' perspectives, 2-Determine the EHR success rate, and 3-Explore the effective factors contributing to EHR success. METHODS: The proposed framework was developed using ISSM, TAM3, TTF, HOT-FIT, and literature review in seven steps. A self-administrated structured 65-items questionnaire was developed with CVI: 90.27% and CVR: 94.34%. Construct validity was conducted using EFA and CFA. Eleven factors were identified, collectively accounting for 71.4% of the total variance. In the EFA step, 15 questions and two questions in EFA were excluded. Finally, 48 items remained in the framework including dimensions of technology, human, organization, ease of use, usefulness, and net benefits. The overall Cronbach's alpha value was 93.4%. In addition, the hospital EHR success rate was determined and categorized. In addition, effective factors on EHR success were explored. RESULTS: In total, 86 nurses participated in the study. On average, the "total hospital EHR success rate" was moderate. The total EHR success rates was ranging from 47.09 to 74.96%. The results of the Kruskal-Wallis test showed that there was a significant relationship between "gender" and "self-efficacy" (p-value: 0.042). A reverse relation between "years of experience using computers" and "training" (p-value: 0.012) was observed. "Years of experience using EHR" as well as "education level" (p-value: 0.001) and "ease of use" had a reverse relationship (p-value: 0.034). CONCLUSIONS: Our findings underscore the EHR success based on nurses' viewpoint in a developing country. Our results provide an instrument for comparison of EHR success rates in various hospitals.

One-year spatiotemporal database of Emergency Medical Service (EMS) calls in Mashhad, Iran: data on 224,355 EMS calls.

OBJECTIVES: Emergency Medical Services (EMS) is the first point of service for the people who are in critical condition and in need of urgent health care. In Iran, as in other countries, people in need of emergency services often die or are left with a permanent injury due to the poor EMS-related infrastructure. It has been shown that a detailed examination of the response times and the spatiotemporal pattern of EMS calls for service can lead to improvements in time-sensitive patient outcomes. We performed a spatiotemporal study in city of Mashhad, the second-most populous city of Iran, to investigate the pattern of the EMS calls and now wish to release a comprehensive dataset resulting from this study. DATA DESCRIPTION: The data include three data files plus a data dictionary file. Data file 1 contains the characteristics of EMS requests including sex, age group, date of call, different time periods of each EMS missions, the census tracts' ID of callers, the chief complaint, and the EMS mission result. Two spatial data files include the boundaries of the census tracts in Mashhad and the point location of all EMS stations, respectively. A data dictionary file defines all fields and values across the data files.

Sixteen years of eHealth experiences in Iran: a qualitative content analysis of national policies.

INTRODUCTION: As a building block of all health systems and a multi-sectoral domain, eHealth has a critical role to accelerate the achievement of sustainable development goals (SDGs), particularly universal health coverage (UHC). Our objective was to provide a better understanding of the recent experiences on eHealth policy, particularly in framing process of the policies and strategies, in an attempt to develop evidence-based recommendations that can inform future eHealth policy formulation, implementation, and development in Iran. METHODS: We undertook an exploratory, descriptive, comparative, retrospective and longitudinal analysis of eHealth policies by using content analysis of upstream and other key national policy documents, guided by criteria for reporting qualitative research (COREQ). A systematic and purposive search was conducted to identify publicly-accessible documents related to eHealth policies in Iran, followed by in-depth, semi-structured, open-ended interviews with purposefully identified national key informants in the field of eHealth. MAXQDA® 12 was used to assist with qualitative data analysis. FINDINGS: We retrieved and included 13 national policy documents demonstrating 16 years experiences of recorded eHealth policy in Iran, from 2004-2020. Our analysis revealed seven main categories as challenges of eHealth policies in Iran: (1) lack of comprehensive and big picture of all eHealth components; (2) lack of long-term and strategic plans on eHealth; (3) poor consistency among national policy documents; (4) unrealistic and non-operational timing of policy documents; (5) inappropriate identification and lack of involvement of key actors in development and implementation of eHealth policies; (6) low priority of eHealth in the national health system, and (7) unconventional focus and attention to Electronic Health Record (EHR). CONCLUSION: The findings reveal almost two decades history of eHealth initiatives at the national and upstream policy level in Iran, with noticeable gaps between desired policies and achieved expectations. The inclusion of eHealth solutions in the policy documents has been controversial and challenging. eHealth seems to have not been meaningfully established in the minds and views of policy makers and senior manager, which might have led to the development of incomplete and contradictory policies. The health system in Iran needs, we advocate, the design of an evidence-informed eHealth roadmap, as well as continuous, systematic, and reasonably time-bounded strategic plans to establish eHealth as the building block of health system along the pathway towards sustainable health development.

Spatio-temporal epidemiology of emergency medical requests in a large urban area. A scan-statistic approach.

Pre-hospital care is provided by emergency medical services (EMS) staff, the initial health care providers at the scene of disaster. This study aimed to describe the characteristics of EMS callers and space-time distribution of emergency requests in a large urban area. Descriptive thematic maps of EMS requests were created using an empirical Bayesian smoothing approach. Spatial, temporal and spatio-temporal clustering techniques were applied to EMS data based on Kulldorff scan statistics technique. Almost 225,000 calls were registered in the EMS dispatch centre during the study period. Approximately two-thirds of these calls were associated with an altered level of patient consciousness, and the median response time for rural and urban EMS dispatches was 12.2 and 10.1 minutes, respectively. Spatio-temporal clusters of EMS requests were mostly located in central parts of the city, particularly near the downtown area. However, high-response time clustered areas had a low overlap with these general, spatial clusters. This low convergence shows that some unknown factors, other than EMS requests, influence the high-response times. The findings of this study can help policymakers to better allocate EMS resources and implement tailored interventions to enhance EMS system in urban areas.

Play and Learn for Surgeons: A Serious Game to Educate Medical Residents in Uterine Artery Ligation Surgery.

Objective: Postpartum hemorrhage (PPH) is a leading cause of maternal mortality. Surgical interventions, such as uterine artery ligation and utero-ovarian arteries ligation (UAL and UOAL), are considered as effective methods to control PPH. Owing to PPH's severe outcomes, various educational tools have been developed to train surgical residents. A potential educational medium for this purpose could be serious digital games. In this pilot study, we assessed the usability and effectiveness of a serious game to promote the surgical skills of UAL/UOAL among obstetrics and gynecology (OB/GYN) residents. Methods: We designed and developed the Play and Learn for Surgeons (PLS) game to train OB/GYN residents. We assessed and compared the usability challenges of PLS before and after revising the game. To assess the effectiveness of PLS, residents were allocated randomly in control and intervention groups. Surgical skills of the residents were assessed pre- and post-test using the Objective Structured Assessment of Technical Skills checklist. Setting: This pilot study took place at the OB/GYN wards of Omolbanin Hospital (Mashhad University of Medical Sciences) and Imam Ali Hospital (Zahedan University of Medical Sciences) in Iran. Participants: Thirteen subject matter experts (nine OB/GYN experts and four senior clinical assistants) participated in the user interface design and usability assessment of PLS. Total of 46 OB/GYN residents participated in the educational effectiveness analysis of PLS. All participants were female with mean ages of 40.6, 29.9 and 28.0 years for OB/GYN experts, assistants, and residents, accordingly. Results: All participants completed the study. PLS significantly improved the skills of residents for UAL (P-value = 0.018) and UOAL (P-value <0.001) procedures. Conclusion: Serious games can be an effective and affordable approach in training OB/GYN residents for UAL and UOAL procedures. Approval number: (# IR.MUMS.fm.REC.1396.345) Trial registration number: (# IRCT2017092436366N1).

Deep Learning for Acute Myeloid Leukemia Diagnosis.

By changing the lifestyle and increasing the cancer incidence, accurate diagnosis becomes a significant medical action. Today, DNA microarray is widely used in cancer diagnosis and screening since it is able to measure gene expression levels. Analyzing them by using common statistical methods is not suitable because of the high gene expression data dimensions. So, this study aims to use new techniques to diagnose acute myeloid leukemia. In this study, the leukemia microarray gene data, contenting 22283 genes, was extracted from the Gene Expression Omnibus repository. Initial preprocessing was applied by using a normalization test and principal component analysis in Python. Then DNNs neural network designed and implemented to the data and finally results cross-validated by classifiers. The normalization test was significant (P>0.05) and the results show the PCA gene segregation potential and independence of cancer and healthy cells. The results accuracy for single-layer neural network and DNNs deep learning network with three hidden layers are 63.33 and 96.67, respectively. Using new methods such as deep learning can improve diagnosis accuracy and performance compared to the old methods. It is recommended to use these methods in cancer diagnosis and effective gene selection in various types of cancer.

Understanding key factors affecting on hospital electronic health record (EHR) adoption.

INTRODUCTION: This study investigated the factors affecting the acceptance of hospital electronic health record (EHR) adoption by users based on Technology Acceptance Model3 (TAM3). METHODS: The self-administered TAM3 questionnaire was used for data gathering. Content validity and reliability of the TAM3 questionnaire were measured. The relation between dependent, independent, and mediator variables was analyzed using multiple regression analysis. RESULTS: The results from 224 users indicated that subjective norm, job relevance, output quality, voluntariness, computer experience have significant impacts on perceived usefulness. Also, perceptions of external control and computer anxiety were identified as having significant impacts on perceived ease of use. Perceived usefulness did not have a mediator role between result demonstrability and behavioral intention. Perceived ease of use was not found to be a mediating factor in the relationship between computer self- efficacy and behavioral intention, as well as perceived enjoyment. CONCLUSIONS: The findings of the current study, provide valuable scientific evidence for key affecting factors on hospital EHR in Iran as a developing country. Our results showed the main constructs and relationships depicted in the TAM3 were found to be applicable to assess the adoption of hospital EHR.

Health Education Serious Games Targeting Health Care Providers, Patients, and Public Health Users: Scoping Review.

BACKGROUND: Serious educational games have shown effectiveness in improving various health outcomes. Previous reviews of health education games have focused on specific diseases, certain medical subjects, fixed target groups, or limited outcomes of interest. Given the recent surge in health game studies, a scoping review of health education games is needed to provide an updated overview of various aspects of such serious games. OBJECTIVE: This study aimed to conduct a scoping review of the design and evaluation of serious educational games for health targeting health care providers, patients, and public (health) users. METHODS: We identified 2313 studies using a unique combination of keywords in the PubMed and ScienceDirect databases. A total of 161 studies were included in this review after removing duplicates (n=55) and excluding studies not meeting our inclusion criteria (1917 based on title and abstract and 180 after reviewing the full text). The results were stratified based on games targeting health care providers, patients, and public users. RESULTS: Most health education games were developed and evaluated in America (82/161, 50.9%) and Europe (64/161, 39.8%), with a considerable number of studies published after 2012. We discovered 58.4% (94/161) of studies aiming to improve knowledge learning and 41.6% (67/161) to enhance skill development. The studies targeted various categories of end users: health care providers (42/161, 26.1%), patients (38/161, 23.6%), public users (75/161, 46.6%), and a mix of users (6/161, 3.7%). Among games targeting patients, only 13% (6/44) targeted a specific disease, whereas a growing majority targeted lifestyle behaviors, social interactions, cognition, and generic health issues (eg, safety and nutrition). Among 101 studies reporting gameplay specifications, the most common gameplay duration was 30 to 45 min. Of the 61 studies reporting game repetition, only 14% (9/61) of the games allowed the users to play the game with unlimited repetitions. From 32 studies that measured follow-up duration after the game intervention, only 1 study reported a 2-year postintervention follow-up. More than 57.7% (93/161) of the games did not have a multidisciplinary team to design, develop, or assess the game. CONCLUSIONS: Serious games are increasingly used for health education targeting a variety of end users. This study offers an updated scoping review of the studies assessing the value of serious games in improving health education. The results showed a promising trend in diversifying the application of health education games that go beyond a specific medical condition. However, our findings indicate the need for health education game development and adoption in developing countries and the need to focus on multidisciplinary teamwork in designing effective health education games. Furthermore, future health games should expand the duration and repetition of games and increase the length of the follow-up assessments to provide evidence on long-term effectiveness.

An age-integrated approach to improve measurement of potential spatial accessibility to emergency medical services for urban areas.

OBJECTIVE: This study aimed to develop an age-included approach to measure the potential accessibility to Emergency medical services (EMS) across urban and suburban areas of Mashhad city in Iran. METHODS: We used an improved version of two-step floating catchment area (2SFCA) and enhanced 2SFCA (E2SFCA) methods to measure the potential accessibility to EMS services with inclusion of age factor. This enabled us to better model accessibility of the older population to the EMS. We used 22 800 records of EMS enquiries from July to September 2018 to evaluate and assess the potential improvement in access to the EMS with incorporating age in the model. RESULTS: Suburb areas had less potential accessibility compared with central urban due to the high density of EMS stations in the city center areas. Our model showed slight improvement in potential accessibility measurement as a result of the proposed age-integrated method. CONCLUSION: An age-integrated index of accessibility method takes into account the age distribution of the population in service area is highly associated with actual measures of accessibility to EMS services. Identifying areas with poor access to EMS will help policymakers to design better policy planning to allocate resources and improve provision of EMS services.

Determining the Hospital Information System (HIS) Success Rate: Development of a New Instrument and Case Study.

BACKGROUND: Hospital Information System (HIS) is a type of health information system which is widely used in clinical settings. Determining the success rate of HISs is an ongoing area of research since its implications are of interest for researchers, physicians and managers. AIM: In the present study, we develop a novel instrument to measure HIS success rate based on users' viewpoints in a teaching hospital. METHODS: The study was conducted in Ebnesina and Dr Hejazi Psychiatric Hospital and education centre in Mashhad, Iran. The instrument for data collection was a self-administered structured questionnaire based on ISSM, covering seven dimensions, which includes system quality, information quality, service quality, system use, usefulness, satisfaction, and net benefits. The verification of content validity was carried out by an expert panel. The internal consistency of dimensions was measured by Cronbach's alpha. Pearson's correlation coefficient was calculated to evaluate the significance of associations between dimensions. The HIS success rate on users' viewpoints was determined. RESULTS: A total of 125 users participated in the study. The instrument was validated by an expert panel with the Content Validity Index (CVI): 0.85 and Content Validity Ratio (CVR): 0.86. The overall Cronbach's alpha value of the instrument was 0.93. The Pearson correlation coefficient showed significant positive relationships among the investigated dimensions. On average, HIS success rate in the hospital under study was 65% (CI: 64%, 67%). The dimensions of "usefulness", "system quality", and "net benefits" showed the highest rates of success, respectively. CONCLUSION: The instrument used in this study can be adopted for HIS evaluation in future studies. In the current study, a method was developed to determine the HIS success rate based on users' viewpoints. This method allows for the comparison of HIS success rates in various hospitals. As well, our findings underscore the viewpoints of HIS users in a developing country.'

Comprehensive overview of computer-based health information tailoring: a systematic scoping review.

OBJECTIVES: To explore the scope of the published literature on computer-tailoring, considering both the development and the evaluation aspects, with the aim of identifying and categorising main approaches and detecting research gaps, tendencies and trends. SETTING: Original researches from any country and healthcare setting. PARTICIPANTS: Patients or health consumers with any health condition regardless of their specific characteristics. METHOD: A systematic scoping review was undertaken based on the York's five-stage framework outlined by Arksey and O'Malley. Five leading databases were searched: PubMed, Scopus, Science Direct, EBSCO and IEEE for articles published between 1990 and 2017. Tailoring concept was investigated for three aspects: system design, information delivery and evaluation. Both quantitative (ie, frequencies) and qualitative (ie, theme analysis) methods have been used to synthesis the data. RESULTS: After reviewing 1320 studies, 360 articles were identified for inclusion. Two main routes were identified in tailoring literature including public health research (64%) and computer science research (17%). The most common facets used for tailoring were sociodemographic (73 %), target behaviour status (59%) and psycho-behavioural determinants (56%), respectively. The analysis showed that only 13% of the studies described the tailoring algorithm they used, from which two approaches revealed: information retrieval (12%) and natural language generation (1%). The systematic mapping of the delivery channel indicated that nearly half of the articles used the web (57%) to deliver the tailored information; printout (19%) and email (10%) came next. Analysis of the evaluation approaches showed that nearly half of the articles (53%) used an outcome-based approach, 44% used process evaluation and 3% assessed cost-effectiveness. CONCLUSIONS: This scoping review can inform researchers to identify the methodological approaches of computer tailoring. Improvements in reporting and conduct are imperative. Further research on tailoring methodology is warranted, and in particular, there is a need for a guideline to standardise reporting.

Quantitative Evaluation of Diabetic Medical Record Documentation.

BACKGROUND: The documentation of medical records of diabetic patients is very important for the treatment of diabetes. The purpose of this study was to conduct quantitative evaluations of the Diabetic Medical Record (DMR) and Documentation Completeness Rate (DCR). METHODS: In this retrospective study, we evaluated the DCR of DMRs in the Comprehensive Diabetes Center of Imam Reza Hospital (CDRIRH). A checklist was prepared to evaluate the DCR. The overall assessment of the DCR was represented according to the following rating: 95-100% as strong, 75-94% as moderate, and less than 75% as weak. The free texts that physicians recorded in the DMRs were extracted to identify the data elements that physicians must record. In addition, the clinical importance of the data elements of the DMRs from the perspective of the endocrinologists was determined and then compared with the DCR. RESULTS: In this study, 1,200 DMRs and DCRs for 50 data elements in eight major categories were evaluated. The total DCR average was 30% and data elements in the laboratory test results category demonstrated the highest DCR (50.5%), whereas the least percentage was demonstrated in the internal visits category. The DCR for the other main categories was: demographic information = 48.5%; patient referral information = 14.2%; diagnosis = 5%; anti-hyperglycemic medications = 25.5%; diabetic complications = 17.7%; and results of specialty and subspecialty consultation = 41.7%. The evaluation of the free text data element in the DMRs indicated that physicians documented free text data elements in three categories. CONCLUSION: Our results demonstrated a weak level of documentation in the DMRs. The physicians had written many data elements in the margins of the DMRs. Therefore, it indicates the necessity to modify and change the structure of the DMR.

Usability Evaluation of an Admission, Discharge, and Transfer Information System: A Heuristic Evaluation.

BACKGROUND: Admission, discharge and, transfer (ADT) process is one of the most important hospital workflows. ADT system is a part of a hospital information system (HIS). AIM: The objective of this study was to evaluate the usability of the ADT system. METHODS: The study performed at Mashhad University of Medical Sciences (MUMS) hospitals. Data collection instrument was a validated checklist of Pierotti heuristic evaluation. To determine the severity of usability problems, a hybrid of Nielson and Tampere unit for computer-human interaction (TAUCHI) severity scaling algorithm was used. Usability problems were divided into five categories (major, severe, minor, cosmetic, and technical). Six experts evaluated the ADT system independently. According to TAUCHI severity scale, if a feature has not yet been implemented in the ADT system, evaluators considered it a technical usability problem. Therefore, usability problems due to non-design feature in the ADT system were identified. Finally, the mean severity of each usability problems was calculated. RESULTS: A total of 186 usability problems were identified. The frequency of major, sever, minor and cosmetic usability problems were 2, 65, 69 and 50, respectively. A total of 55 usability problems by the evaluators were recognised as technical problems. The highest mismatch with usability principles was related to the "recognition rather than recall". The range of the mean severity of usability problems was between 0-2.31. CONCLUSIONS: Our result showed that although implementation of IHIS on a large scale, it still suffered from unresolved usability problems. Identification of usability problems and evaluation of their level of severity, which was simultaneously performed in this study, can be used as a guide to evaluate the usability of other HISs.

Design and validity of a questionnaire to assess national eHealth architecture (NEHA): a study protocol.

INTRODUCTION: eHealth is critically important to build strong health systems, and accelerate the achievement of sustainable development goals, particularly universal health coverage. To support and strengthen the health system, the eHealth architecture needs to be formulated and established prior to the implementation and development of any national eHealth applications and services. The aim of this study is to design and validate a standard questionnaire to assess the current status of national eHealth architecture (NEHA) components. METHODS AND ANALYSIS: This study will use a mixed-methods design consisting of four phases: (1) item generation through review of evidences and experts' opinions, (2) face and content validity of the questionnaire, (3) determination of a range of possible scenarios for each item included in the questionnaire and (4) evaluation of reliability. This questionnaire is expected to generate critical and important information about the status of NEHA components that will be useful for monitoring, formulating, developing, implementing and evaluating NEHA. Our paper will contribute, we envisage, to establishment of a socio-technical basis on which governments and other relevant sectors can compare the policy interventions that boost the availability and utilisation of eHealth services within their settings. ETHICS AND DISSEMINATION: The Ethics Committee for Research at the Tehran University of Medical Sciences approved the study protocol. We will obtain informed consent from each participant and collect data anonymously to maintain confidentiality. The translation of the findings into future policy planning will include the production of a series of peer-reviewed articles, presentation of the findings at relevant eHealth conferences and preparation of policy reports to the international organisations aiming to strengthen national capacity for better-informed eHealth architecture.

Comparing potential spatial access with self-reported travel times and cost analysis to haemodialysis facilities in North-eastern Iran.

End-stage renal disease patients regularly need haemodialysis three times a week. Their poor access to haemodialysis facilities is significantly associated with a high mortality rate. The present cross-sectional study aimed to measure the potential spatial access to dialysis services at a small area level (census tract level) in North Khorasan Province, Iran. The patients were interviewed to obtain their travel information. The two-step floating catchment area (2SFCA) method was used to measure the spatial accessibility of patients to the dialysis centres. The capacity of the dialysis centre was defined as the number of active dialysis facilities in each centre and the haemodialysis patients in each area were considered as the users of dialysis services. The travel cost from each patient's residence to the haemodialysis facilities was visualized by the Kriging interpolation algorithm in the study area. Spatial accessibility to the dialysis centre was poor in the northern part of the study area. Fortunately, there were not many haemodialysis patients in that area. Patients' travel costs were high in the northern areas compared to the rest of study area. We observed a statistically significant reverse correlation between the self-reported travel time and computed spatial accessibility (-0.570, P value <0.01, two-tailed spearman test). This study supports the notion that the 2SFCA method could be associated with revealed access time to dialysis facilities, especially in low traffic and in flat areas such as northern Khorasan. The mapping of patients' distribution and interpolated travel cost to the haemodialysis facilities could help policymakers to allocate health resources to the areas where the need is greater.

Access to dialysis services: A systematic mapping review based on geographical information systems.

Equitable access to healthcare services constitutes one of the leading priorities of healthcare provision and access to dialysis services (ADS) has an essential impact on patients depending on renal dialysis. The many existing GIS-based ADS evaluations include various spatial and non-spatial factors affecting ADS. We systematically mapped and reviewed the available literature with reference to this area identifying gaps in current GIS-based ADS measurements and developing recommendations for future studies. A threestep, systematic mapping review of the available GIS-related evidence in PubMed, Embase, Web of science, Scopus, Science Direct and IEEE Xplore was performed in May 2016 and the information collected updated October 2017 by two independent selection processes. The quality of the studies was assessed using an informal, mixed-approach scoring system. Out of 1119 literature references identified, 36 were identified and used for final review after removal of duplicates, study screenings and applying inclusion/exclusion criteria. Given the contents of the selected studies, three study groups were identified and 41 factors with potential effects on ADS determined. These studies mainly addressed the potential and/or spatial aspects of ADS. Our systematic mapping review of the evidence revealed that current GIS-based measures of ADS tend to calculate potential ADS instead of a realized one. It was also noted that listed factors affecting ADS were mainly nonspatial bringing forth the hypothesis that designing an integrated ADS index could possibly produce better ADS score than those currently advocated. Some primary and secondary research suggestions are made and a list of recommendations offered.

Revealed access to haemodialysis facilities in northeastern Iran: Factors that matter in rural and urban areas.

Poor access to haemodialysis facilities is associated with high mortality and morbidity rates. This study investigated factors affecting revealed access to the haemodialysis facilities considering patients living in rural and urban areas without any haemodialysis facility (Group A) and those living urban areas with haemodialysis facilities (Group B). This study is based on selfreported Actual Access Time (AAT) to referred haemodialysis facilities and other information regarding travel to haemodialysis facilities from patients. All significant variables on univariate analysis were entered into a univariate general linear model in order to identify factors associated with AAT. Both spatial (driving time and distance) and non-spatial factors (sex, income level, caregivers, transportation mode, education level, ethnicity and personal vehicle ownership) influenced the revealed access identified in Group A. The non-spatial factors for Group B patients were the same as for Group A, but no spatial factor was identified in Group B. It was found that accessibility is strongly underestimated when driving time is chosen as accessibility measure to haemodialysis facilities. Analysis of revealed access determinants provides policymakers with an appropriate decision base for making appropriate decisions and finding solutions to decrease the access time for patients under haemodialysis therapy. Driving time alone is not a good proxy for measuring access to haemodialysis facilities as there are many other potential obstacles, such as women's special travel problems, poor other transportation possibilities, ethnicity disparities, low education levels, low caregiver status and low-income.

A Data Model for Teleconsultation in Managing High-Risk Pregnancies: Design and Preliminary Evaluation.

BACKGROUND: Teleconsultation is a guarantor for virtual supervision of clinical professors on clinical decisions made by medical residents in teaching hospitals. Type, format, volume, and quality of exchanged information have a great influence on the quality of remote clinical decisions or tele-decisions. Thus, it is necessary to develop a reliable and standard model for these clinical relationships. OBJECTIVE: The goal of this study was to design and evaluate a data model for teleconsultation in the management of high-risk pregnancies. METHODS: This study was implemented in three phases. In the first phase, a systematic review, a qualitative study, and a Delphi approach were done in selected teaching hospitals. Systematic extraction and localization of diagnostic items to develop the tele-decision clinical archetypes were performed as the second phase. Finally, the developed model was evaluated using predefined consultation scenarios. RESULTS: Our review study has shown that present medical consultations have no specific structure or template for patient information exchange. Furthermore, there are many challenges in the remote medical decision-making process, and some of them are related to the lack of the mentioned structure. The evaluation phase of our research has shown that data quality (P<.001), adequacy (P<.001), organization (P<.001), confidence (P<.001), and convenience (P<.001) had more scores in archetype-based consultation scenarios compared with routine-based ones. CONCLUSIONS: Our archetype-based model could acquire better and higher scores in the data quality, adequacy, organization, confidence, and convenience dimensions than ones with routine scenarios. It is probable that the suggested archetype-based teleconsultation model may improve the quality of physician-physician remote medical consultations.

Comprehensive overview of computer-based health information tailoring: a scoping review protocol.

INTRODUCTION: Tailoring health information to the needs of individuals has become an important part of modern health communications. Tailoring has been addressed by researchers from different disciplines leading to the emergence of a wide range of approaches, making the newcomers confused. In order to address this, a comprehensive overview of the field with the indications of research gaps, tendencies and trends will be helpful. As a result, a systematic protocol was outlined to conduct a scoping review within the field of computer-based health information tailoring. METHODS AND ANALYSIS: This protocol is based on the York's five-stage framework outlined by Arksey and O'Malley. A field-specific structure was defined as a basis for undertaking each stage. The structure comprised three main aspects: system design, information communication and evaluation. Five leading databases were searched: PubMed, Scopus, Science Direct, EBSCO and IEEE and a broad search strategy was used with less strict inclusion criteria to cover the breadth of evidence. Theoretical frameworks were used to develop the data extraction form and a rigorous approach was introduced to identify the categories from data. Several explanatory-descriptive methods were considered to analyse the data, from which some were proposed to be employed for the first time in scoping studies. ETHICS AND DISSEMINATION: This study investigates the breadth and depth of existing literature on computer-tailoring and as a secondary analysis, does not require ethics approval. We anticipate that the results will identify research gaps and novel ideas for future studies and provide direction to combine methods from different disciplines. The research findings will be submitted for publication to relevant peer-reviewed journals and conferences targeting health promotion and patient education.