Volume 25, Issue 4 (2-2024)
yafte 2024, 25(4): 65-84 |
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Ebrahimzadeh F, Salehi Veisi M, Delfan Beyranvand S, Shojaei Shahrokhabadi M, Nouraei Motlagh S. Stratification of Urban Health Centers of Khorramabad Based on Socioeconomic Status of Households Using Factor Analysis and Cluster Analysis. yafte 2024; 25 (4) :65-84
URL: http://yafte.lums.ac.ir/article-1-3696-en.html
URL: http://yafte.lums.ac.ir/article-1-3696-en.html
Farzad Ebrahimzadeh * 
, Mohammad Salehi Veisi , Sajad Delfan Beyranvand , Mohadeseh Shojaei Shahrokhabadi , Soraya Nouraei Motlagh
, Mohammad Salehi Veisi , Sajad Delfan Beyranvand , Mohadeseh Shojaei Shahrokhabadi , Soraya Nouraei Motlagh
Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran
Abstract: (165 Views)
Background: In numerous studies in the field of medical sciences, researchers use health centers as a frame for stratified sampling. Since socioeconomic variables play a major role in health outcomes, the present study aimed to classify urban health centers of Khorramabad in terms of the socioeconomic status of households using factor and cluster analysis.
Materials and Methods: In this cross-sectional study, the statistical population included all urban areas of Khorramabad based on the population and housing census conducted by the Statistical Center of Iran. Firstly, the scatter maps of urban areas and health centers were adopted together. Thereafter, socioeconomic indexes of urban areas were calculated in seven fields, and exploratory factor analysis was used to reduce dimensions. Finally, the similar health centers in terms of factor scores were allocated to the same clusters by k-means cluster analysis using SPSS software (version 26) and were displayed on city maps using Arc GIS software.
Results: Three factors identified in factor analysis explained about 73.3% of the total variance of socioeconomic indexes. Based on cluster analysis, 11 health centers were located in cluster 1 (related to lower educational attainment, poorer housing amenities, and higher rate of homelessness and divorce), 16 centers were located in cluster 2 (related to higher studying persons rate, lower marriage rate in women, lower unemployment rate, and higher residence in apartment flats) and 10 health centers were located in cluster 3 (related to higher academic graduates, more profitable jobs, and better housing amenities).
Conclusion: The results of this research can be used in health studies in urban areas of Khorramabad as a basis for performing stratified sampling. Furthermore, it is recommended that authorities adopt more effective planning to improve deprived areas in cluster one.
Materials and Methods: In this cross-sectional study, the statistical population included all urban areas of Khorramabad based on the population and housing census conducted by the Statistical Center of Iran. Firstly, the scatter maps of urban areas and health centers were adopted together. Thereafter, socioeconomic indexes of urban areas were calculated in seven fields, and exploratory factor analysis was used to reduce dimensions. Finally, the similar health centers in terms of factor scores were allocated to the same clusters by k-means cluster analysis using SPSS software (version 26) and were displayed on city maps using Arc GIS software.
Results: Three factors identified in factor analysis explained about 73.3% of the total variance of socioeconomic indexes. Based on cluster analysis, 11 health centers were located in cluster 1 (related to lower educational attainment, poorer housing amenities, and higher rate of homelessness and divorce), 16 centers were located in cluster 2 (related to higher studying persons rate, lower marriage rate in women, lower unemployment rate, and higher residence in apartment flats) and 10 health centers were located in cluster 3 (related to higher academic graduates, more profitable jobs, and better housing amenities).
Conclusion: The results of this research can be used in health studies in urban areas of Khorramabad as a basis for performing stratified sampling. Furthermore, it is recommended that authorities adopt more effective planning to improve deprived areas in cluster one.
Keywords: Exploratory factor analysis, Khorramabad, Non-hierarchical cluster analysis, Socioeconomic status of household
Type of Study: Research |
Subject:
روانشناسی
Received: 2023/12/18 | Accepted: 2024/03/10 | Published: 2024/02/29
Received: 2023/12/18 | Accepted: 2024/03/10 | Published: 2024/02/29
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