Healthcare Accessibility and Rural Social Inequality in Bahraich District, Uttar Pradesh: A Socio-geographical Methodological Study

Healthcare accessibility combines geographical, financial, organisational and household-level conditions. This methodological illustration applies a socio-geographical framework to a 600-record tabulated household dataset attributed to six development blocks of Bahraich District, Uttar Pradesh. The original source material does not establish independently verifiable fieldwork provenance; accordingly, the reported aggregates are examined as illustrative statistical inputs rather than as population estimates. A Healthcare Accessibility Index (HAI) and Rural Social Vulnerability Index (RSVI) structure the assessment. In the supplied summaries, mean HAI is 0.650 (SD = 0.087) and mean RSVI is 0.327 (SD = 0.110). Reported HAI values differ according to household transport availability (0.692 versus 0.589) and health insurance status (0.688 versus 0.607), while the tabulated correlation between HAI and RSVI is -0.276. These comparisons indicate how linked access and vulnerability measures can be presented, but their statistical significance and generalisability cannot be independently assessed without the underlying records, variable specifications and sampling documentation. Moreover, variables potentially used to form HAI also appear as predictors in the supplied regression, introducing mechanical dependence. The illustration identifies a potentially useful framework for analysing rural healthcare access, while distinguishing methodological demonstration from verified evidence about Bahraich households. Future empirical application requires documented probability or explicitly non-probability sampling, transparent index construction, reproducible analysis and validation of figures against source observations.

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Journal
Asian Journal of Geographical Research
Published
2026-11-02
DOI
https://doi.org/10.9734/ajgr/2026/v9i4497
Primary Topic
Public Health and Social Inequalities
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article
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article

Healthcare Accessibility and Rural Social Inequality in Bahraich District, Uttar Pradesh: A Socio-geographical Methodological Study

ADITI GUPTA, Santosh Kumar Singh, Rishabh Bajpai, Raj Kumar Singh et al.
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Asian Journal of Geographical Research
Public Health and Social Inequalities
article

Healthcare Accessibility and Rural Social Inequality in Bahraich District, Uttar Pradesh: A Socio-geographical Methodological Study

ADITI GUPTA, Santosh Kumar Singh, Rishabh Bajpai, Raj Kumar Singh, Krishna Kumar
article en

Abstract

Healthcare accessibility combines geographical, financial, organisational and household-level conditions. This methodological illustration applies a socio-geographical framework to a 600-record tabulated household dataset attributed to six development blocks of Bahraich District, Uttar Pradesh. The original source material does not establish independently verifiable fieldwork provenance; accordingly, the reported aggregates are examined as illustrative statistical inputs rather than as population estimates. A Healthcare Accessibility Index (HAI) and Rural Social Vulnerability Index (RSVI) structure the assessment. In the supplied summaries, mean HAI is 0.650 (SD = 0.087) and mean RSVI is 0.327 (SD = 0.110). Reported HAI values differ according to household transport availability (0.692 versus 0.589) and health insurance status (0.688 versus 0.607), while the tabulated correlation between HAI and RSVI is -0.276. These comparisons indicate how linked access and vulnerability measures can be presented, but their statistical significance and generalisability cannot be independently assessed without the underlying records, variable specifications and sampling documentation. Moreover, variables potentially used to form HAI also appear as predictors in the supplied regression, introducing mechanical dependence. The illustration identifies a potentially useful framework for analysing rural healthcare access, while distinguishing methodological demonstration from verified evidence about Bahraich households. Future empirical application requires documented probability or explicitly non-probability sampling, transparent index construction, reproducible analysis and validation of figures against source observations.

Asian Journal of Geographical ResearchVol. 9(4)
Kisan Post Graduate College (IN)
Reduced inequalities, Good health and well-being
Openalex Percentile: Top 12%
Public Health and Social Inequalities
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Healthcare Accessibility and Rural Social Inequality in Bahraich District, Uttar Pradesh: A Socio-geographical Methodological Study — ADITI GUPTA, Santosh Kumar Singh, et al. · Asian Journal of Geographical Research (2026) | TGRS Research Map | TGRS