Background: Due to the critical importance of post-surgical care for pilonidal sinus wounds, particularly in managing edema, infection, and related complications, it is essential to promote rapid wound healing.
Objectives: This study aimed to evaluate the effect of Teucrium polium extract ointment as a wound repair agent for open pilonidal sinus surgery.
Methods: This randomized double-blind clinical trial was conducted from April 2021 to March 2022. A total of 132 participants admitted to public hospitals in Yasuj with pilonidal sinus disease were randomized into three groups: T. polium ointment, serum, and placebo. The primary outcomes were changes in wound size and wound recovery time after surgery, while secondary outcomes included changes in wound edema and wound exudate.
Results: The results indicated that the mean changes in wound size were statistically significant across all three groups over time (P <0.001). Between-group comparisons showed that from weeks 4 to 8, differences between the three groups were statistically significant (P< 0.001). Wound recovery time demonstrated a significant difference between the ointment and serum groups (P = 0.006) and between the ointment and placebo groups (P < 0.001). Wound edema and exudate improved over time for all three groups (P < 0.001), but follow-up results revealed a significant difference among the groups (P < 0.001).
Conclusions: Based on the findings of this study and the comparison of the effects of T. polium ointment, it can be concluded that this ointment positively impacts wound healing following pilonidal sinus surgery, enhancing the healing process in both short-term and longterm care.

Background: This study aimed to investigate the effectiveness of motivational psychotherapy on the social emotional competencies of students with type 1 diabetes.
Methods: The research employed a mixed-method approach. The first phase involved qualitative and deductive content analysis. During a multi-step process, an educational package was developed and validated by the researchers using written sources and guidance from psychology experts and knowledgeable professors. The quantitative phase utilized a quasi-experimental pre-test and post-test design with a control group. The study population included all secondary school students in Gonabad during 2022 - 2023. Fifty male students were randomly selected and divided into two groups of 25 (experimental and control groups). The research instrument used was the Social-Emotional Competence questionnaire by Zuo and Ji (2012). The experimental group participated in eight 90-minute sessions of motivational psychotherapy, held twice a week, while the control group received no intervention. Data analysis was performed using SPSS- 24 software and multivariate analysis of variance.
Results: The findings revealed that the motivational psychotherapy program significantly increased the social-emotional competencies of the experimental group compared to the control group (P < 0.01). These results indicate that the educational package of motivational
psychotherapy is an effective method for enhancing the social-emotional competencies of secondary school students with type 1 diabetes.
Conclusions: This study highlights the effectiveness of motivational psychotherapy in improving social-emotional competencies in students with type 1 diabetes. The findings underscore the importance of targeted interventions in fostering emotional and social skills among this demographic.

findings:

The findings showed that the mentioned program has significantly increased the social-emotional competencies of the experimental group compared to the control group (P<0.01).

Results:

Based on the results, the educational package of  motivational psychotherapy was an effective method for increasing emotional-social competencies of primary school students with type 1 diabetes.

Background and Objectives: Nowadays, efficiency in the utilization of hospital beds is one of the key priorities of healthcare systems. Utilizing the capacity of medical tourism can be an important strategy in this field. Therefore, the purpose of this study was to assess the readiness of hospitals which located in Ilam city to attract medical tourists.

Materials and Methods: This is a descriptive cross-sectional study that was conducted among educational and private hospitals in the center of Ilam province in 2023. Data collection was done through a standard checklist for evaluating the International Patient Department (IPD), consisting of 69 questions in 5 domains. The checklist was completed through observation, interview, and review of available documents. Data analysis was performed using the frequency and percentage distribution tables, means, and standard deviations with the Excel software.

Results: The highest score of hospital readiness to obtain a license for establishing an International Patients Department was related to Kowsar Private Hospital with a score of 198. The lowest score was related to public Razi Hospital with a score of 119. Overall, none of the hospitals under study achieved the cutoff score of 227 (65%).

Conclusion: According to the results, all the hospitals under study are in an unacceptable state in terms of readiness to attract medical tourists in the current conditions. Establishing an International Patients department should be an essential priority for improving the efficiency of hospitals.

Parkinson’s disease (PD) is a neurodegenerative disorder that progressively worsens with age, particularly affecting the elderly. Symptoms of PD include visual hallucinations, depression, autonomic dysfunction, and motor difficulties. Conventional diagnostic methods often rely on subjective interpretations of movement, which can be subtle and challenging to assess accurately, potentially leading to misdiagnoses. However, recent studies indicate that over 90% of individuals with PD exhibit vocal abnormalities at the onset of the disease. Machine learning (ML) techniques have shown promise in addressing these diagnostic challenges due to their higher efficiency and reduced error rates in analyzing complex, high-dimensional datasets, particularly those derived from speech signals.
This study investigates 12 machine learning models—logistic regression (LR), support vector machine (SVM, linear/RBF), K-nearest neighbor (KNN), Naïve bayes (NB), decision tree (DT), random forest (RF), extra trees (ET), gradient boosting (GbBoost), extreme gradient boosting (XgBoost), adaboost, and multi-layer perceptron (MLP)—to develop a robust ML model capable of reliably identifying PD cases. The analysis utilized a PD voice dataset comprising 756 acoustic samples from 252 participants, including 188 individuals with PD and 64 healthy controls. The dataset included 130 male and 122 female subjects, with age ranges of 33 - 87 years and 41 - 82 years, respectively.
To enhance model performance, the GridSearchCV method was employed for hyperparameter tuning, alongside recursive feature elimination (RFE) and minimum redundancy maximum relevance (mRMR) feature selection techniques. Among the 12 ML models evaluated, the RF model with the RFE-generated feature subset (RFE-50) emerged as the top performer. It achieved an accuracy of 96.46%, a recall of 0.96, a precision of 0.97, an F1-score of 0.96, and an AUC score of 0.998, marking the highest performance metrics reported for this
dataset in recent studies.

Background: The prevalence of type 2 diabetes represents a significant public health challenge, and effective disease management is essential for improving patient outcomes. Perceived social support and self-care are critical factors in the health of individuals with type 2 diabetes.
Objectives: This study aimed to explore the relationship between social support, perceived stress, and self-care behaviors in patients with type 2 diabetes in Rasht.
Methods: In this cross-sectional descriptive study, 384 participants were selected from a population of 40,000 people with type 2 diabetes in Rasht city, using the Karjesi and Morgan table. Tobert’s self-care questionnaires, the Perceived Social Support Scale by Zimmet, Dalhem, Zimmet, and Farley, and the Perceived Stress Scale by Cohen, Kamark, and Mermelstein were utilized for data collection. The data obtained from field investigations were analyzed using descriptive and analytical statistical tests, including Pearson correlation and linear regression, at a significance level of 0.01 and a confidence interval of 0.99, in SPSS software version 16.
Results: The results of the study revealed a positive correlation between perceived social support and self-care (r = 0.35), family support and self-care (r = 0.25), friends’ support and self-care (r = 0.33), and support from significant individuals and self-care (r = 0.37). Conversely, a negative relationship was observed between perceived stress and self-care (r = -0.22).
Conclusions: These findings can assist healthcare providers in expanding existing knowledge and designing diabetes self-care management education programs tailored to the psychosocial and cultural needs of adults in the study region.

Objective: Health is the basic and definite right of the human being so we aimed to outline a concern about patient rights of gynecologists.

Results and conclusion: Considering the above mentioned facts, “stewardship” function of the health system requires the immediate legislation and strict monitoring to remove this stigma of malfunctioning responsiveness. Policymakers and planning authorities of the health system should pay particular attention to the legitimate and rightful demands of the patients. Considering the mere patients’ satisfaction percentage is not enough. By addressing the various dimensions of responsiveness, they must seek to improve the quality of the care provided. One of the first steps can be inhibiting “group visit”, especially in disciplines such as gynecology and women's urology.

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