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伊朗北部戈勒斯坦省基于小波尺度图模型的健康结构指标分类

Classification of health structural indicators using scalogram model in golestan province, northern iran.

作者信息

Bahadori M, Shams L, Sadeghifar J, Hamouzadeh P, Nejati M

机构信息

Health Management Research Centre, Baqiyatallah University of Medical Sciences, Tehran, Iran.

出版信息

Iran J Public Health. 2012;41(5):58-65. Epub 2012 May 31.

PMID:23113178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3468978/
Abstract

BACKGROUND

One of the main and basic pillars of health system promotion is the equitable distribution of health facilities in order to ensure fair access of people in the community to the health services. The goal of this study was to classify the health structural indicators in Golestan Province using Scalogram analysis model.

METHOD

A descriptive study was conducted in 2010. Data related to indicators in 3 categories of institutional, human resources and rural health and their indicators were collected using statistical yearbook. Data analysis was done using SPSS software and scalogram analysis model.

RESULTS

There is large gap between health structural indicators in cities of Golestan Province. Aq Qala City with 97 score and Azad Shahr City with 41 score were the most and lowest scores respectively from enjoyment of health structural indicators. Generally, 18% of cities were in less developed level and only 27% of cities were developed level.

CONCLUSION

To achieve a fair and balanced healthcare status in different provinces based on their state of development, plans should be arranged in order to reduce the gap in the access to healthcare facilities.

摘要

背景

卫生系统促进的主要和基本支柱之一是卫生设施的公平分配,以确保社区居民能够公平获得卫生服务。本研究的目的是使用尺度图分析模型对戈勒斯坦省的卫生结构指标进行分类。

方法

2010年进行了一项描述性研究。使用统计年鉴收集了机构、人力资源和农村卫生3类指标及其相关数据。使用SPSS软件和尺度图分析模型进行数据分析。

结果

戈勒斯坦省各城市的卫生结构指标存在较大差距。在卫生结构指标享有程度方面,阿格卡拉市得分97分,阿扎德沙赫尔市得分41分,分别为最高和最低。总体而言,18%的城市处于欠发达水平,只有27%的城市处于发达水平。

结论

为了根据不同省份的发展状况实现公平和平衡的医疗保健状况,应制定计划以缩小获得医疗设施方面的差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/232a/3468978/c728bb16ab5d/ijph-41-58f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/232a/3468978/c728bb16ab5d/ijph-41-58f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/232a/3468978/c728bb16ab5d/ijph-41-58f1.jpg

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