The effect of Camellia sinensis ointment on perineal pain and episiotomy wound healing in primiparous women: A triple-blind randomized clinical trial.

Background And Objective: Episiotomy is one of the most commonly performed procedures in obstetrics. complications of episiotomy are pain, bleeding, infection, pain in the sitting position, and difficulty in taking care of the baby. This study aimed to investigate the effect of Camellia sinensis ointment on perineal pain and episiotomy wound healing in primiparous women.

Mental health status of pregnant women during COVID-19 in healthcare centers of Iran: A cross-sectional study.

Background And Objective: The COVID-19 pandemic impacted every single aspect of life. In addition to being a public health emergency, the COVID-19 outbreak impacted the mental health of individuals, especially pregnant women. This study aimed to examine the mental health status of pregnant women and also the effect of sociodemographic factors on their mental health status during COVID-19 in healthcare centers of Iran.

The effect of self-care training based on e-learning and teach-back methods on the performance of patients with type 2 diabetes.

Introduction: Due to the chronic nature of the diabetes, patients who suffer from this disease need education to take care of themselves and increase self-care. Therefore, the present study was conducted with the aim of comparing the effect of e-learning and teach-back methods on the performance of diabetic patients.

Methods: In this study, 144 patients with type 2 diabetes were selected based on purposive sampling.

The effects of normal vaginal birth simulation training on the clinical skills of midwifery students: a quasi-experiment study.

Background: Vaginal birth management is vital to midwifery education and practice in which midwives are most likely to be directly involved. This situation requires strong cognitive, technical, communicational, and teamwork skills. Therefore, the present study was conducted to evaluate the effect of normal vaginal birth simulation training before formal clinical education on the clinical skills of midwifery students compared with routine clinical education.

The Nurses' Second Victim Syndrome and Moral Distress.

Background: The increasing prevalence of moral distress in the stressful environment of the intensive care unit (ICU) provides grounds for nursing error and endangers patients' health, safety, and even life. One of the most important reasons for this distress is the treatment team's second victim syndrome (SVS), especially nurses, following errors in the treatment system.

Objectives: The present study aimed to determine the relationship between moral distress and SVS in ICUs.

Investigating the relationship between spiritual well-being, resilience, and depression: a cross-sectional study of the elderly.

Background: Mental health of the elderly is one of the health problems in most societies. This study aimed to investigate the relationship between spiritual well-being (SWB), resilience, and depression among the elderly.

Methods: This descriptive-correlational study was conducted on 384 elderly selected by convenience-sampling method.

Machine learning approach for automated predicting of COVID-19 severity based on clinical and paraclinical characteristics: Serum levels of zinc, calcium, and vitamin D.

Background & Aims: Considering that no standard therapy has yet been found for the novel coronavirus disease (COVID-19), identifying severe cases as early as possible, and such that treatment procedures can be escalated seems necessary. Hence, the present study aimed to develop a machine learning (ML) approach for automated severity assessment of COVID-19 based on clinical and paraclinical characteristics like serum levels of zinc, calcium, and vitamin D.

Methods: In this analytical cross-sectional study which was conducted from May 2020 to May 2021, clinical and paraclinical data sets of COVID-19-positive patients with known outcomes were investigated by combining statistical comparison and correlation methods with ML algorithms, including Decision Tree (DT), Random Forest (RF), and Support Vector Machine (SVM).

Follow-up the severity of abnormalities diagnosed in chest CT imaging of COVID-19 patients: A cross-sectional study.

Background And Aims: This study aimed to evaluate the severity of diagnosed lung abnormalities of coronavirus disease 2019 (COVID-19) patients based on the pre-and postrecovery follow-up chest computed tomography (CT) scan findings done at regular intervals.

Methods: This cross-sectional study was performed in three phases. The severity of lung abnormalities was recorded and compared based on the initial and follow-up chest CT findings carried out pre-and at regular intervals (3 and 6 months) of postrecovery of COVID-19 patients.

Mental Workload and Job Satisfaction in Healthcare Workers: The Moderating Role of Job Control.

The aim of this study was to investigate the moderating role of job control in relation to mental workload and job satisfaction of healthcare workers. This cross-sectional study was carried out on 480 nurses, midwives, and administrative workers in four educational hospitals of Ardabil, Iran. Research tools were included demographic information questionnaire, NASA-TLX questionnaire, job description index (JDI) questionnaire and job control inquiry.

Serum vitamin D, calcium, and zinc levels in patients with COVID-19.

Background And Aim: COVID-19 is a global public health concern. As no standard treatment has been found for it yet, several minerals and vitamins with antioxidants, immunomodulators, and antimicrobials roles can be sufficient for the immune response against the disease. The present study evaluates the serum vitamin D, calcium, and Zinc levels in patients with COVID-19.