Jakobsenkrogsgaard7799

The feedback given to students plays an important role in their efficiency related to learning practical skills. In the present study, diverse feedback modalities have been investigated. Our hypothesis is that individualized and unsupervised video feedback can produce a similar learning experience as performing practical skills in an oral and maxillofacial surgery setting with conventional direct expert feedback (control group).

This prospective, randomized, controlled, and blinded study compared direct expert feedback (DEF), individualized video feedback (IVF) and unsupervised video feedback (UVF). The participants were fourth-year dental students from University Goethe in Frankfurt. The students were assigned to one of the three feedback methods (n= 20 per group) using simple randomization. All participants watched an instruction video for an interdental ('Ernst') ligature and periphery venous catheterization. Next, the students were video recorded performing the tasks by themselves (pre-test). Followino be the most effective method of feedback and therefore preferable in teaching.

This study showed that IVF and UVF can be considered an alternative or adjunct to conventional methods (i.e. DEF) when learning procedural skills in oral and maxillofacial surgery. However, DEF showed to be the most effective method of feedback and therefore preferable in teaching.

While evidence has shown an association between place of birth and birth outcomes, factors contributing to the choice of home birth have not been adequately investigated in Tanzania while more than 30% of deliveries occur outside of health care facilities, and more than 95% of those deliveries are assisted by non-medical providers who are often unskilled. The use of unskilled birth attendants has been cited as a factor contributing to the high maternal and neonatal mortalities in low-resources countries. This study aimed to identify determinants of choice for home birth over health care facility birth in Tanzania.

This study used the 2015-16 Tanzania Demographic and Health Survey and Malaria Indicator Survey (2015-16 TDHS-MIS) dataset. A total of 2286 women of reproductive age (15-49years) who gave birth within one year preceding the survey were included in the analysis. Both univariate and multivariable regression analyses were used to determine predictors for the choice of home-based childbirth over hea or friends attend most of them. Predictors for home-based childbirth included lack of formal education, poor access to telecommunication, poor uptake of antenatal visits, low socio-economic status, and geographical zone. Innovative strategies targeting these groups are needed to increase the use of health care facilities for childbirth, thereby reducing maternal and neonatal mortality in Tanzania.

A large proportion of women birth at home. Unskilled providers such as traditional birth attendants (TBAs), relatives or friends attend most of them. Predictors for home-based childbirth included lack of formal education, poor access to telecommunication, poor uptake of antenatal visits, low socio-economic status, and geographical zone. Innovative strategies targeting these groups are needed to increase the use of health care facilities for childbirth, thereby reducing maternal and neonatal mortality in Tanzania.

Data on health-related quality of life (HRQOL) can be used to track health disparities, assess the impact of chronic diseases, and predict mortality. Darovasertib supplier The Centers for Disease Control and Prevention's "Healthy Days Measures" (HRQOL-4) assesses four key domains self-rated general health, physical health, mental health, and activity limitations. The domains are not easily combined to summarize overall HRQOL, and some evidence suggests that self-rated general health may be an adequate proxy indicator for overall HRQOL. This study compares self-rated general health as a solitary measure of HRQOL with two summary indices of the HRQOL-4 as a predictor of adverse health conditions in a representative sample of adult New York City residents.

The 2017 NYC Social Determinants of Health survey implemented by the New York City Department of Health and Mental Hygiene collected data from a representative sample of New Yorkers (n = 2335) via phone, mail, and web. We compared the information criteria and predictive power oalth conditions, suggesting self-rated general health is an appropriate proxy measure of overall HRQOL. Because it can be measured with a single question rather than four, it might be the most simple, efficient, and cost-effective method of summarizing HRQOL in large population-based surveys.

We found very small differences between self-rated general health and the summary indices of the HRQOL-4 in predicting health conditions, suggesting self-rated general health is an appropriate proxy measure of overall HRQOL. Because it can be measured with a single question rather than four, it might be the most simple, efficient, and cost-effective method of summarizing HRQOL in large population-based surveys.An amendment to this paper has been published and can be accessed via the original article.

Despite being caused by mutations in different genes, diseases in the same phenotypic series are clinically similar, as reported in Part I of this study. Here, in Part II, we hypothesized that the phenotypic series too might be clinically similar. Furthermore, on the assumption that gene mutations indirectly cause clinical phenotypes by directly affecting biological functions, we hypothesized that clinically similar phenotypic series might be biologically similar as well.

To test these hypotheses, we generated a clinical similarity network and a set of biological similarity networks. In both types of network, the nodes represent the phenotypic series, and the edges linking the nodes indicate the similarity of the linked phenotypic series. The weight of each edge is proportional to a similarity coefficient, which depends on the clinical phenotypes and the biological features that are shared by the linked phenotypic series, in the clinical and biological similarity networks, respectively.

After assembling and analyzing the networks, we raised the threshold for the similarity coefficient, to retain edges of progressively greater weight.