Depression is a common mental illness that has a profound impact on an estimated
number of 300 million people worldwide. Depression is stigmatised in communities
and even physicians, especially, non-psychiatric physicians, which affects
depressed patients’ care. This study aims to investigate non-psychiatric
physicians’ attitudes towards depression in Riyadh, Saudi Arabia. The study
surveyed 380 participants using Revised Depression Attitude Questionnaire.
Non-psychiatric physicians in Riyadh are optimistic and have a positive
perspective towards depression. Yet, the majority preferred dealing with
physical rather than mental illness. Understanding the attitudes of medical
practitioners is important to shape service delivery and assess training
needs.
Background
The development of statistical software in research has transformed the way scientists and researchers conduct their statistical analysis. Despite these advancements, it was not clear which statistical software is mainly used for which research design thereby creating confusion and uncertainty in choosing the right statistical tools. Therefore, this study aimed to review the trend of statistical software usage and their associated study designs in articles published in health sciences research.
Methods
This bibliometric analysis study reviewed 10,596 articles published in PubMed in three 10-year intervals (1997, 2007, and 2017). The data were collected through Google sheet and were analyzed using SPSS software. This study described the trend and usage of currently available statistical tools and the different study designs that are associated with them.
Results
Of the statistical software mentioned in the retrieved articles, SPSS was the most common statistical tool used (52.1%) in the three-time periods followed by SAS (12.9%) and Stata (12.6%). WinBugs was the least used statistical software with only 40(0.6%) of the total articles. SPSS was mostly associated with observational (61.1%) and experimental (65.3%) study designs. On the other hand, Review Manager (43.7%) and Stata (38.3%) were the most statistical software associated with systematic reviews and meta-analyses.
Conclusion
In this study, SPSS was found to be the most widely used statistical software in the selected study periods. Observational studies were the most common health science research design. SPSS was associated with observational and experimental studies while Review Manager and Stata were mostly used for systematic reviews and meta-analysis.
Aim: To assess the characteristics of admissions with diabetic ketoacidosis (DKA) in a specialized children hospital in order to inform appropriate prevention and intervention strategies. Methods: This is a retrospective chart review of DKA admissions of children with T1DM at King Abdullah Specialized Children's hospital, Riyadh, Saudi Arabia (March 2015-December 2017). Results: A total of 116/562 patients with type 1 diabetes (mean age 8.97±3.08 years, Females n=81 (55.5%)) presented with DKA during the study period. The majority were between 10-14 years of age (p=<0.001). We scrutinized data from (146/311, 47%) DKA events of all inpatient admissions of children with T1D. The frequency of DKA admissions was 26% (n=146/562 of all patients with T1DM, 25% (n= 42/141) were in newly diagnosed and 24.7% (n=104/421) were in previously diagnosed patients). Missing insulin was the main precipitating cause (p=0.001) in previously diagnosed patients. Recurrent episodes (n=30, 20.5% of all episodes) occurred in 15/116 patients and was more common in children ?10 years old (P=0.024). The overall mean length of
Background: Health Informatics is an indispensable science in light of the massive reform healthcare has undertaken recently. Objective: Health Informatics is an indispensable science in light of the massive reform healthcare has undertaken recently. Methods: This descriptive multiphase study used a questionnaire to assess the need and applied a competency-based postgraduate curriculum to collect the required competencies as well as their proficiency levels. Results: Eighty percent of the respondents agreed that the current training should be advanced. 73.7% of the respondents agreed that this certificate would improve the level of knowledge, and it would impact on the delivery of healthcare positively (78.9%). For the required competencies, 10 competencies scored 1.75 and above, 22 scored between 1.5 and 1.75 and 22 scored below 1.50. The expert panel came to an agreement that the competencies with 1.5 and above should be included. Discussion: The findings emphasize the need to establish PG diploma in comply with previous studies that unveiled the need to provide education and training in Health Informatics. Only the required competencies were included as the program is one-year long. The selected competencies were validated and presented by the panel. Conclusion: A PG diploma in Health Informatics is a key element in the evolution of healthcare services, therefore, a competency-based framework was provided and validated by experts.
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