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Jamalodin Kaboutari, Behzad Shoghi , Fatemeh Mastri Farahani ,
Volume 7, Issue 6 (3-2014)
Abstract

 Background and Aim: The purpose of the present study was to assess and prioritize the factors affecting the quality of services of pharmacies in Bushehr using Kano model and TOPSIS method and to provide practical strategies for quality improvement in the current situation.

 Materials and Methods: This Study was practical and descriptive. The samples contained the pharmacies customers and visitors in 1390 and the data were obtained using questionnaires measuring the quality of service and standard (Kano). Finally, the indicators were prioritized by applying the technique of group decision-making (TOPSIS).

 Results: According to the TOPSIS prioritization, Uni-dimensional requirements (10 requirements), basic requirements (6 requirements), attractive requirements (8 requirements), and finally, requirements of indifference (3 requirements) had the greatest impact on improving the quality of services in pharmacies in Bushehr, respectively, based on the Kano model.

 Conclusion: Strong and positive correlation among the indices of the quality of services in the pharmacies and customer’s satisfaction was observed, Planning to improve the services would lead to satisfaction improvement.

 


Mohamad Reza Shahraki, Nastaran Abbasi Hasanabadi,
Volume 12, Issue 6 (3-2019)
Abstract

Background and Aim: One of the important dimensions of access to health services is uniform distribution. A survey on the distribution of health and treatment indices in different regions reveals inequalities in order to reduce inequalities. The study aims to rank the cities of Sistan and Baluchestan province from the perspective of access to healthcare services.
Materials and Methods: This is a descriptive-applied and cross-sectional study. The data were collected from the database of Statistical Center of Iran. The studied indices were weighted by Shannon entropy method, and the ranking of cities was done by TOPSIS method. The distribution of health services among the cities was shown by Spearman and Kendall correlation coefficient. Also, with the coefficient of variation, the important indices for creating imbalances were determined.
Results: The results of TOPSIS method showed a significant difference between the levels of access to health services indices. Zabol and Zahedan cities ranked first and second, and the cities of Ghasreghand, Sibsuran and Fanuj were in the last rank, respectively. Among the factors that led to a level difference, the number of PhDs, laboratory sciences doctors and rehabilitation centers caused the greatest difference between the cities. The findings show that there is little correlation between demographic rank and access to healthcare services, and health services are not distributed equitably according to the population.
Conclusion: More attention to cities that are ranked below the level of access to healthcare resources is needed. More healthcare resources should be given to this province because there are few healthcare indices relative to its population.


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