RAZAVI INTERNATIONAL JOURNAL OF MEDICINE
Year:2023 | Volume:11 | Issue:3|Papers Count:8

Background: Over the last few decades, several theoretical frameworks have been proposed to evaluate electronic health records (EHRs). These frameworks provide a theoretical basis for assessing the impact and outcomes of technology adoption in healthcare settings. This can help identify areas for improvement and ensure that EHRs effectively support healthcare delivery and patient care. Objectives: The purpose of this study is to present a comprehensive review of the use of validation methods in Electronic health records. Methods: Out of a total of 62 EHR evaluation frameworks in our previous literature review, at the final stage, 34 relevant articles were included for analysis. Variables such as participants and study setting, analysis software, data gathering methods, missing data, and outlier handling, theoretical basis models to develop the EHR evaluation model, the relationship between variables of the EHR evaluation models with evaluation items, sampling technique and sample size reliability assessment methods and values, and statistical validation methods and criteria values were extracted. Results: Among the 34 papers that disclosed the validation methods utilized, the most widely used technique was Structural Equation Modeling (SEM), employed in 26. 5% of the studies. Other methods utilized were Confirmatory Factor Analysis (CFA), and Exploratory Factor Analysis (EFA). A reliability assessment was performed in 82% of the articles. Cronbach's alpha and composite reliability (CR) were popular reliability (internal validation) methods on identified papers. Conclusion: It is our belief that the results of this study can assist researchers in examining and modifying EHR evaluation frameworks to suit their specific needs. Additionally, we believe that our findings serve as a solid foundation for the creation of new EHR evaluation frameworks. Furthermore, we recommend that researchers utilize the findings presented in this article to enhance the implementation and utilization of SEM, CFA, and EFA methods in EHR evaluation models.

Background: Therapeutic abortion is a complicated issue in Islamic Countries Therapeutic abortion is a complicated issue in Islamic countries. The new population growth policies in Iran introduced updated indications for therapeutic abortion in recent years. Objectives: This study was performed to evaluate the causes of therapeutic abortion in the Khorasan Razavi Department of Forensic Medicine from 2012-2019. Methods: This longitudinal study was performed on all recorded documents of permitted therapeutic abortions from 2012-2019 using a researcher-made checklist. Results: A total of 2, 729 therapeutic abortion permits were issued during the study period. The mean maternal and gestational age scores at the time of abortion were 30. 30±, 6. 78 years and 16 weeks, respectively. The main sources for referral were obstetrics and gynecologist (76. 2%). Fetal causes were the most common causes of therapeutic abortion (96. 4%). The most common fetal and maternal causes were trisomy 21 and cardiac disorders, respectively. Conclusion: The most common cause of therapeutic abortion was fetal causes. Among the maternal causes, maternal cardiac disorders should be identified and prevented by better pregnancy care.

Background: One of the most challenging occupations in the world is teaching. Objectives: This considers points to assess the adequacy of emotion-focused cognitive-behavioral treatment intercession to decrease the anxiety and stress of teachers of intellectually disabled students. Methods: We adopted a quasi-experimental pretest-posttest control group design in this study. The statistical population included all female teachers working in schools for children with special needs in Yazd, Iran, from 2021-2022. In this study, 30 eligible teachers were selected via the purposive sampling method. The participants were then assigned to two experimental groups (n=15) and a control group (n=15). The experimental groups received emotion-focused cognitive-behavioral therapy (ECBT) in 10 90-minute sessions once a week, while the control group received no training. In this study, the Teachers' Stress Inventory and Beck's Anxiety Inventory were developed. The data were analyzed in SPSS software (version 20) using Multivariate analysis of covariance (MANCOVA). Results: According to the results, both the intervention and control groups experienced a clear change in stress and anxiety levels before and after the intervention. Moreover, the most significant effect was observed when it comes to feeling anxious (0. 74), signifying that the independent variable was responsible for 74% of differences in anxiety between the experimental and control groups. Conclusion: As evidenced by the obtained results, ECBT effectively reduced stress and anxiety among teachers of students with intellectual disabilities.

Background: MuLBSTA is a scale designed for easy clinical assessment of the mortality risk of viral pneumonia patients. Objectives: The overall purpose of conducting this research is to investigate the effectiveness of MuLBSTA in estimating the mortality risk of COVID-19 patients. Methods: A cross-sectional study was performed on 99 COVID-19 patients from December 2020 to February 2021. The MuLBSTA scores of patients were calculated, and their survival and risk rates were estimated by the Kaplan-Meier method. The ROC diagram was used for the logistic model assessment to determine the best mortality prediction cut-off point. Data were analyzed in SPSS version 21 at the 0. 05 significance level. Results: Of the 99 monitored patients, 69 (69. 69%) recovered, and 30 (30. 31%) died during the study period. The mean MuLBSTA scores of patients who recovered and died were 10. 51±, 3. 99 and 16. 53±, 3. 02, respectively. A statistically significant positive relationship was found between MuLBSTA scores and mortality (p<0. 001). The area under the ROC curve (AUC) of MuLBSTA in predicting mortality during hospitalization was calculated to be 0. 88 (95%CI=0. 82-0. 95, SE=1. 55). Conclusion: MuLBSTA scores are highly correlated with the severity of COVID-19. Therefore, MuLBSTA can serve as a tool for rapid situation assessment and swift decision-making about the treatment approach and the allocation of hospital resources to COVID-19 patients.

Background: Cardiac protection strategies in different methods are challenging and crucial, affecting postoperative morbidity and mortality. Objectives: We compared the cardio-protective effect of two cardioplegia solutions based on coronary sinus lactate levels. Methods: This randomized, double-blinded clinical trial study was performed on 46 candidates for mitral valve replacement between June 2020 and January 2021. The patients were categorized via block randomization method: 1) St. Thomas I cardioplegia (n=23) and St. Thomas Ⅱ,cardioplegia (n=23). The coronary sinus lactate levels at different times were measured. In addition, some intra-operative and clinical characteristics after cardiac surgery were recorded. Data were analyzed in SPSS software (version 26. 0) using paired and independent t-tests, repeated measure ANOVA, and Pearson correlation test at a significance level of P < 0. 05. Results: In the time trend, the lactate levels in patients with St. Thomas Ⅱ,cardioplegia solution had a significantly lower rate than in St. Thomas I (P=0. 001). The two groups displayed no statistical difference between the aortic cross-clamp time (P=0. 069) and the CPB time (P=0. 091). Furthermore, the weaning from mechanical ventilation (P=0. 078) and ICU stay (P=0. 061) demonstrated no statistical difference between the study groups. Conclusion: Based on significantly lower measures of the coronary sinus lactate, the St. Thomas Ⅱ,cardioplegia solution showed a better cardio-protective effect in patients undergoing mitral valve surgery.

Background: Several studies have linked emotion regulation difficulties to Internet addiction. Objectives: The present study aimed to develop an educational model of emotional regulation based on Gross emotional regulation (ERT), Emotional Schema Therapy (EST), and Emotional Transformation Therapy (ETT) and assess its effectiveness in internet addiction with different roles of brain/behavioral systems. Methods: The current study employed the pretest-posttest control group quasi-experimental design with a three-month follow-up. The target population for this study consisted of all secondary school students in Islamshahr, Iran, who used the Internet in the second half of 2021. The sample size consisted of 100 subjects who were randomly selected by purposive sampling and placed in three experimental and control groups (Activation System (BAS), Inhibition System (BIS), and Fight-Fight-Freeze System (FFFS) groups). The data collection instruments included a revised questionnaire from Jackson's (2009), Reinforcement Sensitivity Theory (r-RST), and Young's Internet Addiction Test (2007). Univariate covariance analysis was performed using SPSS software (version 26). Results: As evidenced by the obtained results, emotion regulation training reduced the Internet addiction score in the experimental group (P=0. 001,F=71. 262). In addition, the effect size of emotional regulation training on internet addiction was 0. 811%. In addition, by controlling the pretest score, emotion regulation training reduced the internet addiction score in the experimental group (P=0. 001,F=71. 141). Conclusion: Emotion regulation training for students leads to increased awareness of emotional understanding and acceptance, identification of anxiety-provoking situations, change of emotional response, and less tendency for Internet addiction.

Background: Nowadays, the work performance of human resources is an important and key competitive advantage that can be affected by several factors. Objectives: The present study aimed to predict work performance based on job characteristics and organizational trust with the mediation of work alienation. Methods: The correlation research method was based on structural equation modeling. The statistical population of the research entailed 240 people in different fields of health and medical workers in the Northwestern oil industry of Iran. The sample size was calculated at 145 cases based on the Table of Krejcie and Morgan with proportion stratified random sampling. Four questionnaires were used to measure all variables. The psychometric properties of the questionnaires are valid and reliable. PLS software was used for data analysis. Results: The results of the structural equation modeling demonstrated that the ability to predict the work performance of employees based on organizational trust and job characteristics with the mediation of work alienation was at a high level (R2 = 0. 94), and the ability to predict work alienation based on organizational trust and job characteristics was at an average level (R2 = 0. 85). Organizational trust and job characteristics showed a significant positive relationship with work performance. There was a significant inverse relationship between job characteristics and work alienation (P<0. 001). Conclusion: Human resource management programs that can promote organizational trust and job characteristics and reduce work alienation will improve the work performance of health workers.

Background: The important identity-preceding structure is the self, a personality structure formed out of interpersonal interactions. The self is formed in infancy and early childhood out of the internalized and 'metabolized' interactions between the child and significant others. Objectives: The present study aimed to determine children's behavioral problems based on object relations with the mediating role of five personality factors. Methods: The present study was conducted based on a structural equation correlation design. The statistical population included all children and their parents living in the 1st and 2nd districts of Tehran in 2020-2021, who were selected via convenience sampling method. Data collection tools were Bell Object Relations Inventory (BORI), The Child Behavior Checklist/4-18, and NEO Personality Inventory (Short Form). The data were analyzed in SPSS (version 27) and Smart PLS 3 software packages with the structural equation model method. A p-value of 0. 05 was considered statistically significant. Results: Based on the drawn model, the mediator variable in the model was significant, and the value of the path coefficient increased due to the mediator variable. Moreover, in the Sobel test, the mediating effect of a variable was significant at a 95% confidence level. The Z-value for fathers' personality traits was equal to 6. 52. Conclusion: As evidenced by the obtained results, it is recommended that more emphasis be placed on parenting in clinical practice and the development of parenting interventions for parents of children with emotional and behavioral problems based on object relations.