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This study was intended to evaluate the knowledge and attitudes regarding infant's oral health care among graduating medical students from Kulasekaram, Tamil Nadu.
A cross-sectional survey research design was employed in this study. Self-administered questionnaire of the validated "Graduating medical students' Knowledge and Attitudes Survey Regarding Infant's oral health care" were utilized to ascertain the baseline levels of knowledge and attitudes of graduating medical students' in Kulasekaram hospital. In this regard, a preliminary study with a convenience sample of 100 medical students was conducted so as to assess the knowledge of infant oral health care among graduating medical students in Kulasekaram. This study, while limited in sample size, benefits the general practitioners as target readers to assess the abnormalities in children at early stages of life.
The results of the study revealed that the mean percentage score overall was 65.7%. Only 3.2% of participants obtained a passing score of 80 oral health care and possibly improve practices.
Prenatal care refers to proper and principled implementation aimed at maintaining a healthy pregnancy in terms of physical health and favorable psychological outcomes for the mother, infant, and family. The adequacy of prenatal care is an important indicator in predicting infant and maternal mortality. Mental health components such as hope and happiness can influence the quality of prenatal care. The aim of this study was to determine the relationship between hope and happiness with prenatal care.
This is a cross-sectional study that was performed on 200 pregnant mothers referred to Isfahan, Iran, comprehensive health centers in 2018 using an available sampling method. The research instrument was a questionnaire of hope, happiness, and quality of prenatal care that was completed by qualified people. The data were analyzed by descriptive and analytical statistical methods (Pearson correlation).
The results of this study showed that there is a significant relationship between the adequacy of care and overing pregnant women in terms of these two issues, thereby improving the health of themselves and their children, and ultimately, community health.
The Internet has drastically affected human behavior, and it has positive and negative effects; however, its excessive usage exposes users to internet addiction. The diagnosis of students' mental dysfunction is vital to monitor their academic progress and success by preventing this technology through proper handling of the usage addiction.
This descriptive-analytical study selected 447 students (232 females and 215 males) of the first and second semesters enrolled at Kermanshah University of Medical Sciences, Iran, in 2018 by using Cochrane's sample size formula and stratified random sampling. The study applied Young's Internet Addiction Test and Goldberg General Health Questionnaire 28 for data collection. The study screened the data received and analyzed valid data set through the
-test and Pearson's correlation coefficient by incorporating SPSS Statistics software version 23.0.
The results of the current study specified that the total mean score of the students for internet addiction and mental heaessions on how to use the Internet adequately is useful.
Unusual impacts of disasters on normal living conditions pose challenges to the health system. Nurses who take care of disaster victims may face situations that make decision-making difficult; hereon, the use of new technologies can be a useful solution. The study aimed to identify the telenursing care during incidents and disasters.
The study was conducted at a medical science university in Iran from 2018 to 2019. This was a semi-structured interview-based qualitative study using content analysis. Eighteen nurses, nursing teachers, and emergency medical technicians were included in the study. Data analysis was performed using inductive content analysis and coding with MAXQDA (2010) software. The Lincoln and Guba (1985) trustworthiness criteria were used for the reliability and validity of the data.
Telenursing in critical and supportive care was the main theme identified from data analysis. This theme included six main categories (1) management of trauma, (2) technical skills, (3) care and decision-making in stressful situations, (4) management of patients with special needs, (5) life-saving intervention, and (6) psychological and emotional supports.
Telenursing in disasters is the turning point of the care management of victims. In order to achieve this goal, nurses should acquire the relevant knowledge, skills, and abilities.
Telenursing in disasters is the turning point of the care management of victims. In order to achieve this goal, nurses should acquire the relevant knowledge, skills, and abilities.
The 2019 coronavirus disease (COVID-19) is a major global health concern. Joint efforts for effective surveillance of COVID-19 require immediate transmission of reliable data. In this regard, a standardized and interoperable reporting framework is essential in a consistent and timely manner. Thus, this research aimed at to determine data requirements towards interoperability.
In this cross-sectional and descriptive study, a combination of literature study and expert consensus approach was used to design COVID-19 Minimum Data Set (MDS). A MDS checklist was extracted and validated. The definitive data elements of the MDS were determined by applying the Delphi technique. Then, the existing messaging and data standard templates (Health Level Seven-Clinical Document Architecture [HL7-CDA] and SNOMED-CT) were used to design the surveillance interoperable framework.
The proposed MDS was divided into administrative and clinical sections with three and eight data classes and 29 and 40 data fields, respectively. Then, for each data field, structured data values along with SNOMED-CT codes were defined and structured according HL7-CDA standard.
The absence of effective and integrated system for COVID-19 surveillance can delay critical public health measures, leading to increased disease prevalence and mortality. The heterogeneity of reporting templates and lack of uniform data sets hamper the optimal information exchange among multiple systems. Thus, developing a unified and interoperable reporting framework is more effective to prompt reaction to the COVID-19 outbreak.
The absence of effective and integrated system for COVID-19 surveillance can delay critical public health measures, leading to increased disease prevalence and mortality. The heterogeneity of reporting templates and lack of uniform data sets hamper the optimal information exchange among multiple systems. Thus, developing a unified and interoperable reporting framework is more effective to prompt reaction to the COVID-19 outbreak.
Today's Bachelor in Medicine, Bachelor in Surgery (MBBS) students will become Indian Medical Graduates in future. Emotional intelligence (EI) is an essential component in the making of an Indian Medical Graduate. There is increasing stress during medical training. The study was conducted to compare the association of EI score and perceived stress scale (PSS) among average and excellent undergraduate medical students. The secondary objective was to find the predictors of excellent academic performance.
This descriptive cross-sectional study was conducted after institutional ethics committee approval. All 522 consented students studying in 2
, 4
, 7
, and 9
semesters filled up established pre-validated questionnaires ; Schutteself report EI test and Cohen's perceived stress scale. Sociodemographic details of the respondents were collected. Average attendance and marks of previous semester examinations of all included students were collected from academic cell of the institution. All students were groupis study bestows higher EI and lower perceived stress to better academic performance.
Our study provides predictors of excellent academic performances among Indian medical undergraduates. This study suggests introduction of extracurricular activities in ongoing undergraduate curricular syllabus. It imparts awareness among students about the importance of attending classes. This study bestows higher EI and lower perceived stress to better academic performance.
The Internet of Things is a revolution in health care both in the field of patient treatment and health information management. Lomeguatrib This technology can improve the status of patients, providing them with healthcare, collecting, sharing, storing and analyzing their medical information.
Since the use of the IOT will create a wonderful future in the field of electronic health and the telecommunications industry, hospitals, health centers and policymakers in the health sector in the country should not neglect to get advantage of this technology. Therefore, this study aims to collect the necessary indicators for entering this technology and also measuring its preparation to use it.
This is a practical research and in terms of information gathering, a descriptive survey type that describes and evaluates the preparation of IOT technology implementation in hospitals affiliated to Isfahan University of Medical Sciences. In order to measure the preparation for implementation of such technology in the treatment centers, a model based on the opinion of the experts in this area should be designed. According to which the model of this assessment in 5 different sections in the treatment centers that require this technology are also significant and Effective changes will be reviewed to assess their preparation.
According to the standard coefficients obtained as a result of reviewing the opinions of the experts in this field, the most effective factor is "training of specialist staff in the university" and the least effective factor is "purchasing technical knowledge from universities and affiliated centers".
The results show that current hospitals are not prepared to move to this area and the universities should be able to enter the field quickly.
The results show that current hospitals are not prepared to move to this area and the universities should be able to enter the field quickly.
Happiness is among the factors that promote mental health in mothers with unplanned pregnancy. The present study aimed to determine the impact of attachment skills training on happiness among women with unplanned pregnancy.
This clinical trial was conducted on 84 women with unplanned pregnancy referred to three prenatal clinics in Shiraz in 2018. The participants were randomly divided into an intervention group and a control group using permutation block. At first, the participants were requested to sign written informed consent form, demographic information form, and mental health questionnaire. Then, they were asked to complete Oxford Happiness Questionnaire and Cranley's Maternal-Fetal Attachment Scale. The intervention group received attachment training through six 90-min sessions, while the control group underwent the hospital's routine care. The two groups were required to fill out the study questionnaires once more after 4 weeks after the intervention. After all, the data were analyzed using Chi-square test, Fisher's exact test, independent
-test, and ANOVA.
