Venugopal Vinayagamoorthy, Dongre Amol R, Ponnusamy Poomathy
Department of Community Medicine, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, India.
Department of Extension Programme, Pramukhswami Medical College (PSMC), Karamsad, Gujarat, India.
Indian J Community Med. 2021 Jul-Sep;46(3):494-498. doi: 10.4103/ijcm.IJCM_925_20. Epub 2021 Oct 13.
Socioeconomic status (SES) is a key determinant of health. However, ascertaining the SES in developing countries is really challenging. Hence, we decided to develop an asset-based simple and rational SES tool for urban population of Puducherry and compare it with Modified Kuppuswamy's (MK) scale.
Sequential mixed methods design was used. The list of local household assets to determine SES was created based on group interviews with stakeholders and review of literature. Then, survey was carried out among 500 urban households by trained medical interns after obtaining informed consent. EpiCollect-5, mobile-based software, was used to capture data. Principal component analysis (PCA) was carried out to construct a wealth index using SPSS version 24. The assets included in the final PCA were ranked based on their contribution to the index by linear regression.
The eigenvalue for the first principal component was 6.7 accounting for 33.6% of the variance in the original data. Finally, reduced 10-item-based SES scale was created and scoring system was formulated based on regression coefficient. The weighted kappa statistics and correlation coefficient measure of reliability between household quintiles on 20-item and 10-item reduced SES tool were 0.77 and 0.95, respectively. There was a moderate correlation between SES obtained from MK scale and newly constructed scale.
The newly devised SES scale is context specific, reliable, easy to administer, and quick to ascertain the SES and thus can be used for a similar context in future health research.
社会经济地位（SES）是健康的关键决定因素。然而，在发展中国家确定SES极具挑战性。因此，我们决定为本地治里市的城市人口开发一种基于资产的简单合理的SES工具，并将其与改良的库普苏瓦米（MK）量表进行比较。
采用序贯混合方法设计。通过与利益相关者的小组访谈和文献回顾，创建了用于确定SES的当地家庭资产清单。然后，在获得知情同意后，由训练有素的医学实习生对500户城市家庭进行调查。使用基于手机的软件EpiCollect-5来收集数据。使用SPSS 24版进行主成分分析（PCA）以构建财富指数。根据最终PCA中包含的资产对指数的贡献，通过线性回归对其进行排序。
第一主成分的特征值为6.7，占原始数据方差的33.6%。最后，创建了基于10个项目的简化SES量表，并根据回归系数制定了评分系统。20项和10项简化SES工具在家庭五分位数之间的加权kappa统计量和可靠性相关系数分别为0.77和0.95。从MK量表获得的SES与新构建的量表之间存在中等相关性。
新设计的SES量表是针对特定情况的，可靠、易于实施且能快速确定SES，因此可用于未来健康研究中的类似情况。
