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Showing 4 results for Javanmard
Application of Virtual Reality in Hospitals: A Systematic Review
Fatemeh Ameri, Fatemeh Haghparast, Zahra Akhondi, Seyedeh Zahra Mirdoosti Dozein , Zohreh Javanmard,
Volume 9, Issue 4 (3-2023)
Abstract
Introduction: Due to the increasing use of virtual reality (VR) technology in the healthcare field, the present study was conducted to systematically investigate the use of VR in hospitals.
Method: To access related articles, the keywords "Virtual Reality" and "Hospital" and their synonyms were searched in databases of Web of Science, PubMed, Scopus, and Google Scholar without a time limit until August 15, 2022. The original articles that were published in English and dealt with "the application of virtual reality in the hospital" were included in the study, and their characteristics were analyzed.
Results: Eleven articles were included in the present study, in which various applications for VR in the hospital environment have been reported. The most common uses of VR in hospitals are as follows: managing behavioral symptoms, creating relaxation and inducing positive emotions in patients, providing treatment and physical, mental, and emotional rehabilitation in patients, providing training for care providers in different hospital departments, virtual presence at home for hospitalized children and teenagers; VR can also work as a supplement to the procedure for the children's lives and an adaptive substitute for experiences in the real environment for the medical residents..
Conclusion: Considering the positive impact of using VR in hospitals, using this technology as an auxiliary tool to improve education, treatment, and prevention in the healthcare system is suggested.

Investigating the Role of Clinical Decision Support Systems in Reducing Medical Errors
Faezeh Hajieslam, Zohreh Javanmard,
Volume 10, Issue 1 (6-2023)
Abstract
Introduction: This study aimed to investigate the role of clinical decision support systems in reducing medical errors from the perspective of physicians and nurses in the teaching and therapeutic hospitals.
Method: This descriptive cross-sectional study was conducted in 2021-2022 in two teaching and therapeutic hospitals in Ferdows City, Iran. Physicians and nurses have participated in the research. In this study, the census method was used, and the research community was considered the research sample. The questionnaire of Ariyai et al. was used as a data collection tool. After collecting the questionnaires, the data were analyzed using descriptive statistics methods.
Results: 42 medical staff were included in the study. From a physician’s point of view, decision support systems can be helpful by reducing the risk of severe allergic reactions and drug interactions (60%), quick access to patient records (50%), and computerized order registries (30%). From nurses' point of view, eliminating problems related to doctors' handwriting (25%), avoiding  disremember of repeating tests or imaging (18.8%), quick access to updated information during work (12.5%), and reducing the risk of embolism (9.4%) are the advantages of clinical decision support systems.
Conclusion: due to the importance of developing a decision support system in hospitals and measuring the readiness of medical staff to adopt it, it is suggested that the necessary trainings be provided.
 


Mental Health Mobile Applications Used During the COVID-19 Pandemic: A systematic review
Zohreh Javanmard, Fatemeh Ameri, Sara Golmakani, Maede Heidary, Naghmeh Nasrolahi, Erfan Rajabi,
Volume 10, Issue 1 (6-2023)
Abstract
Introduction: During the COVID-19 pandemic, the use of mobile applications increased among people coping with mental health problems. This study aimed to review mobile applications developed or used during the COVID-19 pandemic.
Method: In order to retrieve related articles, the keywords "COVID-19", "Mental health", and "Mobile application" were searched in Web of Science, PubMed, and Scopus databases without a time limit until April 12, 2022. After selecting the articles according to the entry criteria, the features of the introduced applications were checked.
Results: Finally, 25 articles were included in the study, of which 20 applications were developed during the pandemic and five practical programs were already designed. Four applications were designed for medical staff, and 16 were designed for the general public, for each of students, children aged 3-9, COVID-19 patients, cancer patients, and both medical staff and patients with stress disorders one app was designed. The reviewed applications presented educational tips for overcoming negative and destructive thoughts, and getting information about a healthy lifestyle. Also, eight applications provided contractions between users and psychologists. 
Conclusion: The results of this study can be used as a comprehensive source to examine the features and capabilities of mental health applications during the Coronavirus pandemic. It is suggested that by identifying the strengths and weaknesses of such applications, measures should be taken to develop more comprehensive applications that meet users' needs.

Determining the Minimum Data Set for Electronic Health Records of Tuberculosis Patients
Fatemeh Bahador, Zohreh Javanmard, Azam Sabahi, Fatemeh Salehi, Shirin Shahabi, Reza Fateh Bahari,
Volume 10, Issue 4 (3-2024)
Abstract
Introduction: The minimum data set is considered an important tool in the registration systems and monitoring programs, which provides the possibility of collecting and transferring data at the country level. Considering the importance of tuberculosis in Iran and especially the high incidence of this disease in the marginal provinces of the country, the present study was designed and implemented to determine the minimum data set for the electronic health records of tuberculosis patients.
Method: This descriptive study was conducted in two phases. In the first phase, a comprehensive review was conducted in PubMed, Science Direct, SID, and Magiran databases to identify data elements. The data were collected using the data extraction form and polled using the Delphi method. Descriptive statistics and SPSS version 16 were used for data analysis.
Results: The minimum data set of tuberculosis was divided into two categories: administrative data with five classes and 35 data elements, and clinical data with five classes and 43 data elements.
Conclusion: The minimum data set of tuberculosis is an effective tool for managing and recording the information of patients suffering from this disease. The results of this study can help researchers and developers in the process of designing and implementing an integrated information system for registering the information of patients with tuberculosis.

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