The effect of solution-focused counseling on violence rate and quality of life of pregnant women at risk of domestic violence: a randomized controlled trial

Background: Domestic violence during pregnancy as one of the most common social problems and major challenges of health systems can affect the health of the mother and fetus. The study aimed to compare the two groups of intervention based on solution-focused counseling and control in terms of violence and quality of life amounts in women who had experienced domestic violence. Methods: A randomized controlled trial on 90 pregnant women was blocked into two intervention groups (n = 45) and a control (n = 45). The intervention group received six counseling sessions with a solution-focused approach. Study tool included conflict tactics scale (CTS- 2) and short form health survey (SF-36). The tools were completed once before the intervention and again 6 weeks after the end of the counseling sessions by the participants of both groups. The P-value less than 0.05 was considered statistically significant. Results: A total of 82/90 pregnant women were analyzed. The results showed that median and interquartile range (IQR) of physical, psychological and sexual violence significantly decreased in the intervention group than the control group (Ps = 0.001). Moreover, quality of life scores significantly improved in the intervention group compared to the control group (P = 0.001). Conclusion: Solution-focused counseling could be an effective approach to reduce the amount of violence and increase the quality of life in women exposed to domestic violence. Trial registration: Iranian Registry of Clinical Trials IRCT2017040628352N4. Date of registration: August 20th 2017. © 2021, The Author(s)

A Case Report of Coexistence of Cryptococcal Meningitis and COVID-19 in a Patient with Human Immunodeficiency Virus

Background and Objective: People who are infected with Human Immunodeficiency Viruses (HIV) are more prone to opportunistic fungal infections than other patients. The immune system of these patients becomes weaker when they are also infected with Coronavirus disease (COVID-19). Involvement of the central nervous system caused by fungal infections in these patients is of concern and fatal if diagnosed late. The aim of this research is to investigate a woman with COVID-19 and HIV who was diagnosed with cryptococcal meningitis. Case Report: The patient is a 53-year-old woman who complained of severe headache and nausea after infection with COVID-19. White blood cells, erythrocyte sedimentation rate, lymphocyte, creatinine, aspartate aminotransferase, alanine aminotransferase and blood urea nitrogen were increased compared to the standard level. Cerebrospinal fluid testing showed that glucose was lower and protein was higher than normal. Microscopic examination, staining and culture of cerebrospinal fluid deposits showed the presence of double wall yeasts similar to Cryptococcus. The patient was positive for COVID-19 and HIV. The level of CD4 (cluster of differentiation 4) was lower than the standard. The patient was treated with amphotericin B at a dose of 100 mg for two weeks and was discharged from the hospital after the conditions were stabilized. Conclusion: Cryptococcal meningitis can often occur in immunosuppressive conditions such as HIV. Therefore, quick follow-up, diagnosis and treatment should be considered in these patients

Cesarean section rate in Iran, multidimensional approaches for behavioral change of providers: a qualitative study

<p>Abstract</p> <p>Background</p> <p>The cesarean section rate has been steadily rising from 35% in 2000 to 40% in 2005 in Iran. The objective of this study was to identify barriers of reduce the cesarean section rate in Iran, as perceived by obstetricians and midwives as the main behavioral change target groups.</p> <p>Methods</p> <p>A qualitative study with purposive sampling was designed in which data were collected through in-depth interviews and document analyses. Hospitals were selected on the bases of being public and or private and their response to the ministry's C-section reduction interventions. The hospital director, obstetricians and midwives from each hospital were included in the study. The classification of barriers suggested by Grol and Wensing was used for the thematic analysis.</p> <p>Results</p> <p>After 26 in-depth interviews and document analyses, the barriers were identified as: financial, insurance and judicial problems at the <it>economic and political context </it>level; the type and ownership of hospitals, absence of an on call physician, absence of clear job-descriptions for obstetricians and midwives, too many interventions in the delivery process and shortage of human resources and facilities at the <it>organizational context </it>level; distrust and insufficient collaborations between obstetricians and midwives from macro to micro level at the <it>social context </it>level; attitudes toward complications of C-section, reduced capabilities of obstetricians, midwives and residents at the <it>individual professional </it>level; and finally, at the <it>innovation </it>level, vaginal delivery is time consuming, imposes high stress levels and is unpredictable.</p> <p>Conclusion</p> <p>Changing service providers' behavior is not possible through presentation of scientific evidence alone. A multi-level and multidisciplinary approach using behavior change theories is unavoidable. In future studies, the effect of the barriers should be determined to help policy makers recognize the most effective interventional package.</p

A922 Sequential measurement of 1 hour creatinine clearance (1-CRCL) in critically ill patients at risk of acute kidney injury (AKI)

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Analysis of the indices of the patients with pulmonary tuberculosis and positive smear test within the territory covered by the West Tehran Health Center during 2004-2008

Tuberculosis is one of the most important heath priorities in the world. One third of the world population is affected by this microbe. However, there is no comprehensive and updated information about the indices of the patients affected by pulmonary tuberculosis in urban centers including Tehran, capital of Iran. The data collected from the records of West Tehran Health Center during 2004 to 2008 about the patients with tuberculosis and positive Smear Test (urban regions 2, 5,6,9,18,21 and 22) were analyzed. The average of 5-year incidence of the disease in the under-study community was 2.6 per 100,000 of the covered population from which 1.5 and 1.1 per 100,000 were associated with males and females respectively. The maximum rate of having pulmonary tuberculosis is seen among the age groups over 60 (42.8) and 16-30 (27.4). In general, the findings of the present study accompanied with the results gained from similar studies can be helpful for monitoring the results of treating patients for facilitating levels. © 2010, INSInet Publication

Synthetic data generation pipeline for geometric deep learning in architecture

With the growing interest in deep learning algorithms and computational design in the architectural field, the need for large, access-ible and diverse architectural datasets increases. Due to the complexity of such 3D datasets, the most widespread techniques of 3D scanning and manual building modeling are very time-consuming, which does not allow to have a sufficiently large open-source dataset. We decided to tackle this problem by constructing a field-specific synthetic data generation pipeline that generates an arbit-rary amount of 3D data along with the associated 2D and 3D annotations. The variety of annotations, the flexibility to customize the generated building and dataset parameters make this framework suitable for multiple deep learning tasks, including geometric deep learning that requires direct 3D supervision. Creating our building data generation pipeline we leveraged the experts’ architectural knowledge in order to construct a framework that would be modular, extendable and would provide a sufficient amount of class-balanced data samples. Moreover, we purposefully involve the researcher in the dataset customization allowing the introduction of additional building components, material textures, building classes, number and type of annotations as well as the number of views per 3D model sample. In this way, the framework would satisfy different research requirements and would be adaptable to a large variety of tasks. All code and data is made publicly available: cdinstitute.github.io/Building-Dataset-Generator