Current and Future Perspectives on the COVID-19 Vaccine: A Scientometric Review.

This study attempted to draw the present and future perspective of the COVID-19 vaccine by identifying the most important scientists and their scientific contexts, trends of research topics, and relationships between different entities. METHODS: To achieve this purpose, bibliometric and scientometric techniques were used to analyze 6288 scientific documents contributing to COVID-19 vaccines from the beginning of 2019 to 13 December 2021, indexed in the Web of Science. RESULTS: The United States (US) had the greatest impact by publishing 2104 documents and receiving 32,958 citations. The US and the UK countries had the highest level of scientific collaborations with 192 collaborative studies. The University of Oxford and the Harvard Medical School were the most active institutions, and the University of Oxford and Emory University were the most influential institutions. Pollard AJ and Lambe T had the most publications and the highest citations and h-index. T Lambe, SC Gilbert, M Voysey, and AJ Pollard from the University of Oxford had the highest number of co-authorships. More than 19% of the research was conducted in the field of immunology. The Vaccines journal had the most publications, with 425 articles. The US Department of Health & Human Services granted the most research. In 2019, studies were focused on the topics of COVID-19 virus identification and ways to deal with it; in 2020, studies focused on the topics of COVID-19 and vaccines, whereas in 2021, they focused on the topics of COVID-19 vaccines and their effects, vaccines hesitancy, the role of healthcare workers in COVID-19, as well as discussions about these vaccines in the social media. CONCLUSIONS: Recognition of the most important actors (countries, institutes, researchers, and channels for the release of COVID-19 vaccine studies), research trends, and fields of study on the COVID-19 vaccine can be useful for researchers, countries, and policy makers in the field of science and health to make decisions and better understand these vaccines.

Health information-seeking behavior and self-care in women with osteoporosis: a qualitative study.

The main findings of this study on the self-care behaviors contain "identification of knowledge gaps," "established networking for seeking information," "information from trust-to-distrust," "information-seeking inhibiting factors," "information-seeking facilitating factors," and "self-care behaviors based on required knowledge." PURPOSE: Health information-seeking behavior affects self-care and could promote quality of life and life expectancy. This study aimed at assessing health information-seeking and self-care behaviors of women with osteoporosis in Iran. METHODS: This study was conducted using a content analysis approach. Data were collected through semi-structured interviews with 15 women with osteoporosis aged above 50 years. The participants were selected by purposeful sampling. The data were analyzed by the conventional content analysis method using MAXQdata software version 10. RESULTS: From in-depth descriptions of the participants' experiences, 246 primary codes were extracted. Subsequently, constant comparison analysis was done and 35 sub-categories and 6 main categories have appeared from the data. DISCUSSION: Based on the experiences of women with osteoporosis, they received limited information from the health care providers, so they were seeking reliable information sources to meet their information needs. They obtained most of their information from other patients, family members, and network of friends. In the process of seeking information, they face various barriers such as lack of time in the health care team that affect their ability to self-care. CONCLUSION: The results can guide health policymakers, patient educators, health care providers, information specialists, and patients and their families.

Ethical considerations in the biomedical research: analysis of national biomedical research ethics guidelines in Iran.

The national guidelines for biomedical research ethics are approved by the "National Committee for Ethics in Biomedical Research" at the Iranian Ministry of Health and Medical Education as the regulatory body for biomedical research in the country. The focus of these guidelines should be on the ethical issues related to different stages of the research process, which would lead to increased research integrity and better supervision of research activities. The present study analyzed the contents of these national guidelines to clarify the ethical considerations connected to the five stages of a research process including 1) proposing, 2) approval, 3) operation, 4) documentation and 5) publishing. The findings showed that the assessed guidelines laid more emphasis on the ethical considerations related to the research operation stage rather than the proposal stage. In other words, activities such as identification of the research problem, formulation of hypotheses and questions, financial evaluation, data analysis and data interpretation did not receive adequate attention in these guidelines. Most of the guidelines presented subject categories such as the rights of participants and supervisory considerations in the "research operation stage", ethical considerations in the "evaluation and approval procedure stage", and editorial responsibilities in the "research review and publication stage". In general, despite noticeable content for guiding researchers for ethical conduction of research the national guidelines are not adequately developed to cover comprehensive and sufficient ethical considerations regarding all the activities of research.

Applying Electronic Medical Records in Health Care: Physicians' Perspective.

BACKGROUND: In order to fulfill comprehensive interoperability and recognize the electronic medical records (EMRs') benefits, physicians' attitudes toward using and applying EMR must be recognized. OBJECTIVES: The purpose of this study was to present an integrated model of applying EMRs by physicians. METHODS: This was a cross sectional study in which a sample of 330 physicians working in hospitals affiliated to the Tehran University of medical sciences (TUMS) was selected. Physicians' attitudes toward using and accepting EMR in health care have been analyzed by an integrated model of two classical theories i.e. technology acceptance model (TAM) and diffusion of innovation (DOI). The model was tested using an empirical survey. The final model was tested by structural equation modeling (SEM) and represented by Analysis of Moment Structures (AMOS). RESULTS: The results suggest that the hybrid model explains about 43 percent of the variance of using and accepting of EMRs (R2=0.43). The findings also evidenced that Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Relative Advantage, Compatibility, Complicatedness and Trainability have direct and significant effect on physicians' attitudes toward using and accepting EMRs. But concerning observeability, significant path coefficient was not reported. CONCLUSIONS: The integrated model supplies purposeful intuition for elucidates and anticipates of physicians' behaviors in EMRs adoption. The study identified six relevant factors that affect using and applying EMRs that should be subsequently the major concern of health organizations and health policy makers.

The effects of organizational contextual factors on physicians' attitude toward adoption of Electronic Medical Records.

INTRODUCTION: Physicians' adoption seems to be a significant issue when comprehensive implementation of Electronic Medical Records (EMR) is considered. This study was conducted to determine the organizational contextual factors affecting physicians' adoption of EMR. METHODS: This was a descriptive-analytical study in which a sample of 330 physicians working in hospitals affiliated to Tehran University of Medical Sciences was selected. Physicians' attitudes toward EMRs' adoption have been assessed by a conceptual path model of Technology Acceptance model (TAM) and organizational context variables. Collected data were analyzed by SPSS16 using regression analysis. The final model was tested by structural equation modeling (SEM) and represented by SPSS-AMOS, structural equation modeling software. RESULTS: The results suggest that modified proposed conceptual path model explains about 56% of the variance of EMRs' adoption. The findings also evidenced that perceived usefulness (PU), perceived ease of use (PEOU), management support; physicians' involvement, physicians' autonomy, and the doctor-patient relationship have direct and significant effect on physicians' attitudes toward EMRs' adoption. However, training showed to have no significant effect on PU and PEOU. CONCLUSION: The present study acknowledged that considerable part of physicians' attitude toward EMRs' adoption is controlled by organizational contextual factors. These factors should be subsequently the major concern of health organizations and health policy makers.