فهرست مطالب

  • Volume:8 Issue: 2, 2020
  • تاریخ انتشار: 1399/02/15
  • تعداد عناوین: 6
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  • Prediction of risky behaviors in high school students based on psychosocial development ‎and perceived parenting practices
    Poran Sorati * Pages 1-10
    Background and Objectives
    The aim of this study was prediction of risky behaviors based on psychosocial development and perceived parenting practices of parents in high school students.
    Method
    The study design was descriptive correlational type and the statistical population included of all high school students of Astara city that through them 200 subjects were selected by randomized and targeted sampling. For data collection, the participants responded the questionnaires of psychosocial development, parenting styles and risk behaviors in Persian adolescents. Hierarchical regression was used to analyze the data.
    Results
    Results of study showed that among the aspects of psychosocial development trust/mistrust (β=-0.205, P<0.05), industry/inferiority (β=-0.204, P<0.05) and identity/confusion (β=-0.215, P<0.05) dimensions and among the practices of parenting permissive (β=0.164, P<0.05), authoritative style (β=-0.147, P<0.05) and authoritarian style (β=-0.185, P<0.01) predict risky behaviors.
    Conclusion
    So, it can be concluded psychosocial development and parenting practices of parents are an important individual and environmental factors in risky behaviors in adolescents.
    Keywords: Parenting practices, psychosocial development, Risky behaviors
  • Investigating the Role of the Identity Status, Parent-Child Relationship and Religiosity on ‎Mental Health of Students
    Mohammad Ghasemi Pirbalouti, Faramarz Sohrabi *, Hassan Pasha Sharifi, Farhad Jomehri Pages 11-20
    Background and Objectives
    This study was conducted to determine the role of the Identity Status, the quality of parent-child relationship and religiosity on mental health of the first and second grades of high school students in Shahrekord city.
    Methods
    The research method was descriptive correlational design. The statistical population of the first and second grade in high school students of Shahrekord, were 475 students (247 first high school students and 228 secondary school students) which, were selected by multi-stage cluster sampling. Data were analyzed by SPSS-23 software using descriptive statistics and multiple regression analysis using a simultaneous statistical method.
    Results
    The results showed that the identity status, the quality of the relationship between parents and children and religiosity affected mainly on the students' mental health. The contribution of the variables of the identity achievement (0.14), the identity of Moratorium (0.18), the relationship between father and child (0.12), mother-child relationship (0.11) and religiosity (0.22) in explaining mental health were obtained.
    Conclusion
      According to the results of this study there was a need for attention to the relationship between parents and children, identity, religiosity and mental health in adolescents and students. It can be especially applicable in high school.
    Keywords: Parent-Child Relationship, Identity, religiousness, mental health
  • A Stochastic Mixed Integer Programming Model for Outpatient ‎Appointment Scheduling considering late cancellation and physician ‎lateness
    Seyed Shayan Zolfaghari, Yasaman Asadi *, Mohammad Ali Yaghoobi Pages 21-40
    Background
    Objective
    Nowadays, the essentiality to provide services to outpatients has been grown in medical centers in developed and particularly developing cities. Outpatients are a kind of patients who register their appointment by requesting a specific website, telephone call or app before entering the medical centers and referring them to be visited within the prescribed time. To achieve optimal outpatient care, health centers must design and implement systems and policies that not only improve outpatient satisfaction but also minimize the costs of medical centers.
    Methods
    This paper develops a model that considers increasing the number of patients admitted, physician lateness and cancelation of outpatient appointments due to extreme delays. It formulates a stochastic mixed-integer programming model that decreases the costs by reducing outpatient waiting time, physician overtime, and physician idle time.  It uses the sample average approximation that defines scenarios based on the model conditions. Moreover, it considers that outpatients may register their appointments but do not go to the medical center.  It also formulates another essential factor, unpunctuality of outpatients (both earliness and lateness conditions).
    Results
    This paper defines some tests for the sensitivity analysis of the proposed model and then compares it with a model in the literature. These analyses were carried out using GAMS software which shows the results of the proposed model.
    Conclusion
    Finally, this article shows reviews and evaluations to prove its optimality and utility of the proposed model for using it in the real world.
    Keywords: Outpatient Scheduling, Cancellation, Appointment Systems, Stochastic mixed integer programming
  • Assessment of Patient safety culture among Operating Room staff at ‎Educational centers in Mazandaran University of Medical Sciences
    Fatemeh Zahra ‎ Bagheri, Solale Ramzani, Ali Pahnabi ‎ *, Hasan Siamian Pages 41-43
    Background and objective

    The safety culture of the patient is one of the main components of the services, which means preventing any injuries and wounds to the patient while delivering health care. The studies show that safe behavior cannot be used only by setting the rules and regulations. Creating an effective culture of patient safety prevents many accidents and helps the organization to improve services. Therefore, it is necessary to assess the patient’s safety culture. The present study aimed to evaluate the current status of Patient safety culture in operating room staff of educational centers in Mazandaran University of Medical Sciences

    Methods

    The present cross - sectional and analytical descriptive type study was performed in hospitals of Mazandaran University of Medical Sciences.136 employees of operation room were selected through stratified random sampling. The data collection tool was a two-part questionnaire including demographic information and the standard questionnaire including 42 questions of Hospital Survey on Patient Safety Culture (HSOPS).Answers of the questions were designed on a 5-point Likert scale. Data were analyzed by Mann-Whitney and Kruskal-Wallis statistical tests using SPSS software version 16.

    Results

    The results of this study show that the highest mean scores between the two dimensions of overall perception of patient safety and non-punitive response in case of an error were 15.16 and 14.96 , respectively and the lowest mean score for teamwork between units and the staffing issues of employee were 8.32, and 8.82 respectively. The overall safety culture of the patient was not significantly related to gender, education, and marital status. However, a positive relationship was observed between the work history and the patient's general culture score.

    Conclusion

    By measuring the safety culture of health care organizations, we can identify the strengths and weaknesses of these organizations in terms of patient safety and plan for proper safety development in the hospital. Based on the results of the present study, providing sufficient personnel and job standards for personnel and allocating sufficient resources to improve the quality and care and improving team work between units by managers may help to promote the safety culture in health care centers.Along with the main mission of hospitals which is providing the effective and safe services, concentration on patient safety culture should be as a priority in management plans to provide a basis for enhancing patient safety

    Keywords: Patient Safety Culture, operation room, staff
  • Impact of the sanctions on the procurement of capital medical equipment in the Iranian health system : a systematic review
    Saeidreza Azami, Seyed Mojtaba Hosseini *, Khalil Alimohammadzadeh, Mehrnoosh Jafari, Mohammad Karim Bahodori Pages 44-57
    Background and Objective
    Today, medical equipment has become an integral part of all sections of healthcare systems and a significant portion of the costs in healthcare is allocated to this sector. Optimal utilization of equipment requires them to be kept operational and safe in most of their life. Therefore, providing appropriate medical equipment is of utmost importance.
    Method
    This study reviewed the existing literature and extracted the relevant articles using the appropriate keywords in the national and international databases.
    Results
    The international sanctions is one of the critical factors affecting the procurement of medical equipment as a result of which the people of the sanctioned countries suffer the most. According to this review, the sanctions have led to increased health costs and tariffs and increased share of direct payment by people for the healthcare expenses. The money transfer problems have caused import of medicine and medical equipment to be very long. These factors have led to a negative impact on the availability and price of these items and consequently the healthcare in Iran.
    Conclusion
    Since Iran needs to import many health-related raw materials and services and on the other hand, the import of these goods, declines under the economic sanctions conditions. Therefore, actions should be taken through the required policies such as motivational policies, maximum utilization of domestic capacities, foreign joint ventures and trade agreements with other countries in order to produce a part of the necessary capital and intermediary goods within the country, considering the available capabilities, so that the country’s production capacity does not suffer.
    Keywords: Sanctions, Procurement of equipment, Capital medical equipment, Iran
  • Ranking the Value prepositions in business models of IOT mobile application in health using Shannon Entropy approach
    Seyed Ehsan Malihi *, Aida Rezaei, Yasaman Asadi Pages 58-70
    Background Objective

    The significant growth of the IOT market in various fields leads to ask a question whether conventional business model frameworks can continue to Design business models for IOT applications. To answer the question, the aim of this paper is to identify the importance and ranking of "value proposition" in business models of IOT applications in healthcare.

    Method

    In this paper, the application of design factors of value proposition of 30 IOT mobile application in healthcare is determined based on Canvas Business Model Framework and expert opinions. First, we
    Identify 30 successful and widely used IoT application based on the data available in the Appstore and Google play platform, and determine selectable factors in designing the value preposition section Business Model of IOT health application. To examine which of the selected factors were used in each of  30 IOT health applications, 15 experts are selected. Seven experts were academic researchers who had research papers or reports in this fields. other experts have been involved in the development of IoT applications in health for at least 5 years. Finally, we use Shanon Entropy approach to determine weight and rank of design factors of value preposition in the business model of IOT applications in health.

    Results

    An analysis of the number of factors used in the top thirty IOT applications shows that the most commonly used design factors in the value proposition were acknowledged, Newness, Customization. The identification of these three factors illustrates the importance of the IOT in health Innovation. Due to all three factors are related to the concept of innovation, and unlike most business models, the price is ranked 21st out of 31 design factors in the value proposition.

    Conclusion

    The results of this study can be used as a starting point for IOT developers to focus on the most commonly used design factors for business models, reducing trial and error costs and software development timely.

    Keywords: Internet of Things (IoT), Health care, Business Model, Ranking, Shannon Entropy