چکیده:
Problem Statement: Health and hygiene are among the universal human rights and are emphasized by most countries in the field of providing social welfare. In this regard, primary health care (PHC) services possess special priority and necessity, attracting special attention from planners due to their impact on the general health level of society. The disproportionate and uncoordinated distribution of these services causes inequality in access, which is either due to the improper spatial distribution of these service centers or due to a shortage of service personnel relative to the demand for these services. Method: Considering both aforementioned roots, this article addresses the optimization of access to primary health care services using the p-median model and its implementation and execution for District 10 of Isfahan Municipality as a case study. Findings: In the proposed location-allocation model, various scenarios are created based on the available budget level and are analyzed and compared. Results: The results of this article can be used in decision-making regarding how to provide the space for primary health care services for urban health development and as a decision support system to examine the effects and characteristics of each option from various dimensions and perspectives before the implementation of projects to construct relevant facilities, and to make decisions according to existing conditions, such as budget. It is natural that choosing among different scenarios depends heavily on the spatial conditions of the city and especially the budget, and one cannot suggest one of the scenarios as an absolutely superior scenario regardless of limitations and needs.
خلاصه ماشینی:
Spatial Inequality in Access to Community Health Care Services for Urban Health Development through the naidem-p Model in Isfahan City Mohammad Hossein Sharifzadegan{o*o}, Amir Reza Mamdouhi{o**o}, Maryam Lavi{o***o} Problem Statement: {IBHealth and hygiene are among the universal human rights and are emphasized by most countries in the field of providing social welfare.
Results: The results of this article can be used in decision-making regarding how to provide the spatial distribution of community health care services for urban health development and as a decision support system to examine the effects and characteristics of each option from various dimensions and perspectives before the execution and implementation of relevant facility construction projects, and to make decisions considering existing conditions such as budget.
In this study, the spatial aspect of access {o2o} is considered, which from this perspective, requires the optimal location and efficiency of centers providing community health care services.
The simultaneous attention to the spatial efficiency resulting from mathematical modeling and the number of medical personnel in each health center as two factors in determining inequality in access to health services is the distinguishing point of the present study.
The data required for accessibility analysis, including existing medical centers and their personnel numbers, regional road network information, and demographic information of the statistical areas, were collected by referring to the relevant departments and organizations, and a summary of them is presented in Table (1).
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