Telemedicine applications were between 1999 and 2017, the ICT application area most frequently studied using the TAM, implying that acceptance of this technology was a major challenge when exploiting ICT to develop health service organizations during this period. A majority of the reviewed articles reported extensions of the original TAM, suggesting that no optimal TAM version for use in health services has been established. Although the review results indicate a continuous progress, there are still areas that can be expanded and improved to increase the predictive performance of the TAM.

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.

The number of citations that a research paper receives can be used as a measure of its scientific impact. The objective of this study was to identify and to examine the characteristics of top 100 cited articles in the field of Medical Informatics based on data acquired from the Thomson Reuters' Web of Science (WOS) in October, 2016. The data was collected using two procedures: first we included articles published in the 24 journals listed in the "Medical Informatics" category; second, we retrieved articles using the key words: "informatics", "medical informatics", "biomedical informatics", "clinical informatics" and "health informatics". After removing duplicate records, articles were ranked by the number of citations they received. When the 100 top cited articles had been identified, we collected the following information for each record: all WOS database citations, year of publication, journal, author names, authors' affiliation, country of origin and topics indexed for each record. Citations for the top 100 articles ranged from 346 to 7875, and citations per year ranged from 11.12 to 525. The majority of articles were published in the 2000s (n=43) and 1990s (n=38). Articles were published across 10 journals, most commonly Statistics in medicine (n=71) and Medical decision making (n=28). The articles had an average of 2.47 authors. Statistics and biostatistics modeling was the most common topic (n=71), followed by artificial intelligence (n=12), and medical errors (n=3), other topics included data mining, diagnosis, bioinformatics, information retrieval, and medical imaging. Our bibliometric analysis illustrated a historical perspective on the progress of scientific research on Medical Informatics. Moreover, the findings of the current study provide an insight on the frequency of citations for top cited articles published in Medical Informatics as well as quality of the works, journals, and the trends steering Medical Informatics.

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).

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Background: The aim of this paper was the comparison of ergonomic risk assessment results (final score and action levels) for the entire body as determined using Quick Exposure Check (QEC) and Rapid Entire Body Assessment (REBA). Materials and Methods: This was a cross-sectional study in which all 82 workers engaged in various processes with different activities in an anodizing and aluminum profiles producing industry in Tehran, Iran, were studied. The REBA and QEC ergonomic risk assessment techniques and Nordic Musculoskeletal Questionnaire (NMQ) were used in order to assess the correlation between results of the two methods and evaluate the correlation between the prevalence of musculoskeletal disorders and the results of these two methods. Results: Studied postures, using QEC and REBA assessment methods, acquired the risk levels, respectively, of low risk = 10.9%, moderate risk = 25.5%, and high/very high risk = 63.6% in QEC. They obtained the risk levels of low risk = 56.3%, moderate risk = 40%, and high/very high risk = 12.7%, respectively, in REBA. The kappa (0.12) and gamma scores (0.51) showed no agreement between the outputs of the two tools. No significant correlation (P > 0.05) was found between final scores of these two methods and prevalence of musculoskeletal disorders. Conclusions:These results indicate that the risk assessment outcomes of these two ergonomic assessment tools for the entire body do not agree. Thus, there is no possibility of applying them interchangeably for postural risk assessment, at least not in this industry.

Background: Non-specific pain of low back and neck has direct impact on quality of life, active days at work, and health care costs. The purpose of this study was to determine the pain intensity and disability index for low back and neck among dentists. Materials and Methods: This cross-sectional study was conducted among 80 dentists (44.6% female and 55.4% male). Dentists pain intensity and low back and neck disability index were evaluated with the self-administered visual analog scale and Oswestry questionnaire, respectively. Statistical data analysis was done using SPSS. Results: Disability index of low back and neck has been reported equal to 26.6 ± 10.7 and 22.0 ± 8.8, respectively. Also the data showed the average pain intensity of low back and neck to be 75.5 ± 24 and 49.6 ± 19.7. The result showed significant relationship between pain intensity and disability index for low back and neck with body mass index (BMI) and exercise (P < 0.05). Conclusions: According to results, dentists have a high pain prevalence and moderate disability index of low back and neck. Also based on the relationship between the pain and disability index values with BMI and exercise, we recommend practice of relaxation and stretching exercises during breaks in the dentists work schedules to minimize the risk of work-related musculoskeletal disorders among dentists.

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