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Showing 2 results for Health Centers

Alireza Heydari, Mohammad Javad Kabir, Ashrafi Babazadeh Gashti, Nahid Jafari, Mansoureh Lotfi, Mohammad Aryaei, Mohammad Reza Honarvar, Mohammad Ali Pourabasi, Maryam Iri,
Volume 2, Issue 2 (10-2014)
Abstract

Background & Objective: Job satisfaction Increases individual efficiency and commitment to the organization, ensuring the physical and mental health, life satisfaction and accelerate the learning of new skills on the job. The aim of this study was to determine the status of health professionals› satisfaction in the Golestan province. Method: In this cross- sectional study, 1,275 health workers of Health centers in the Golestan province in the year 1391 were participated using the census method. Data was collected using Herzberg job satisfaction questionnaire. The data were analyzed using SPSS software, ANOVA and t-Test at the significant level of 0.05. Results: Job satisfaction in terms of staff maintenance and support and given the potential and experience of individuals in granting liability were at dissatisfied level, In terms of corporate communications, career development, salary and benefits, challenges and job management, at relatively dissatisfied and from the aspect of social acceptance level was at relatively satisfied. Job satisfaction was significantly associated with work experience (P=0.049), ethnicity (P=0.009) and city of service location (P=0.001). Conclusion: Due to poor job satisfaction levels, effective actions should be taken to improve organizational communication, career development, salary and benefits, social acceptance, staff maintenance and support, management, Job challenges, and granting responsibilities based on the ability and experience of the individuals.
Fatemeh Bagheri, Mehdi Dehghan, Dr Majid Ziaratban,
Volume 5, Issue 2 (10-2017)
Abstract

Background & Objective: Major management decisions in organizations not only in the present but also in the future have a profound impact on different aspects of the organization. A slight mistake in making decisions may lead to the loss of resources of the organization, including financial and human resources. In the present study, we evaluated the problem of choosing the most convenient location for the construction of hospitals and health centers as one of the most important issues in the field of health. Regarding the numerous factors in decision making and the myriad of possible solutions to this problem and also disability of human in solving such problems, a genetic optimization algorithm has been used to calculate the best location for the construction of hospitals.
Methods: This study was simulated according to the actual conditions which may exist in a city. Given the existence of a city with N × N dimensions and having several hospitals and health centers in the city, the issue was raised for the construction of three hospitals. Important factors which could influence the decision making were health status, referring times and land prices. Furthermore, the most proper locations for the construction of three hospitals were calculated using the genetic algorithm.
Results: Three characteristics including the level of health, referring times and land prices were randomly assigned to all urban areas. The coordinates of available health centers in the city were also identified. Another point was the lack of proximity of hospitals in the city. Setting the threshold of 0.2 units for the minimum distance between hospitals (current and new), this restriction was applied. After performing the algorithm with the governing conditions, three optimal points were found.
Conclusion: Considering the importance of locations for the construction of hospitals and health centers in the city and the existence of various factors for selecting the most appropriate place, application of strategies and algorithms which may be helpful in finding the best solution among the myriad of solutions in inevitable. According to the fact that human beings alone or by simple mathematical methods are not capable of taking all the features together and examine the search space to find the best result, we achieved the best solution in the city by setting the parameters of the genetic algorithm and taking into account all important factors.


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