Evidence map›Paper›PMID 42362781›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2026

Development and validation of solomon's socioeconomic status index (SESI): a multidimensional household classification tool for South Asia.

Sheikh Mohd Saleem, Shah Sumaya Jan

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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Sheikh Mohd SaleemPublic Health Expert, Jammu, Kashmir, India. saleem.900@gmail.com.ORCID http://orcid.org/0000-0001-8575-0713
Shah Sumaya JanDepartment of Anatomy, Kashmir Medical College, Srinagar, Jammu and Kashmir, India.

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6 · The paper itself

Abstract

backgroundExisting socioeconomic status (SES) scales in India are limited by outdated income categories, urban-centric assumptions, and unidimensional frameworks that inadequately capture contemporary socioeconomic realities. This study aimed to develop and validate a theoretically grounded, multidimensional SES assessment tool suitable for Indian settings with potential relevance for South Asia.

methodsA cross-sectional study was conducted to design and validate Solomon's Socioeconomic Status Index (SESI). Scale development was informed by literature review, expert consultation, and focus group discussions. SESI comprises nine weighted dimensions: education (15%), occupation (15%), housing quality (20%), land ownership (10%), vehicle ownership (10%), business ownership (10%), durable assets (10%), locality type (5%), and digital access (5%). The tool was administered to 1,247 households across diverse geographic regions of India. Reliability was assessed using Cronbach's alpha and split-half methods, while validity was evaluated using exploratory and confirmatory factor analyses and correlations with established SES scales.

resultsSESI demonstrated strong internal consistency (Cronbach's α = 0.84) and high test-retest reliability (r = 0.89, p < 0.001). Exploratory factor analysis identified a three-factor structure explaining 68.3% of variance, supported by confirmatory factor analysis (CFI = 0.94, RMSEA = 0.051). SESI showed significant correlations with the Modified Kuppuswamy Scale (r = 0.72) and BG Prasad Scale (r = 0.68), indicating good convergent validity.

conclusionSESI provides a reliable and theoretically informed multidimensional measure of socioeconomic status that captures both traditional and emerging determinants, including digital access. It offers improved precision for socioeconomic classification in health research and policy, with potential applicability to South Asian contexts subject to further validation.

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Health equityIndiaPsychometric validationScale developmentSocioeconomic statusSouth Asia

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