Gender-wise travel pattern and utilization of primary health centers of Karbi Anglong district, Assam

Healthcare accessibility remains a critical concern in Karbi Anglong district, where spatial distribution, gender-based travel patterns, and patient satisfaction levels reveal disparities in service utilization. This study employs a mixed-methods approach, integrating primary data from 140 patient surveys across seven Primary Health Centers (PHCs) and secondary health and demographic data. Using Geographic Information System (GIS) techniques such as overlay and buffer analysis, along with statistical methods, the research identifies spatial inequities and accessibility gaps. Findings indicate that PHCs located in peripheral areas serve most of the population, yet central regions remain underserved. Gender disparities in travel distance highlight socio-cultural and infrastructural barriers to healthcare access. While urban PHCs report higher patient satisfaction, rural centers face challenges related to transportation, infrastructure, and service availability. The study recommends improving healthcare equity through mobile healthcare units, gender-sensitive policies, enhanced public transportation, and infrastructure investments. These measures aim to optimize service delivery and ensure equitable healthcare access for all.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.17053907
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Gender-wise travel pattern and utilization of primary health centers of Karbi Anglong district, Assam

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Gender-wise travel pattern and utilization of primary health centers of Karbi Anglong district, Assam

article en

Abstract

Healthcare accessibility remains a critical concern in Karbi Anglong district, where spatial distribution, gender-based travel patterns, and patient satisfaction levels reveal disparities in service utilization. This study employs a mixed-methods approach, integrating primary data from 140 patient surveys across seven Primary Health Centers (PHCs) and secondary health and demographic data. Using Geographic Information System (GIS) techniques such as overlay and buffer analysis, along with statistical methods, the research identifies spatial inequities and accessibility gaps. Findings indicate that PHCs located in peripheral areas serve most of the population, yet central regions remain underserved. Gender disparities in travel distance highlight socio-cultural and infrastructural barriers to healthcare access. While urban PHCs report higher patient satisfaction, rural centers face challenges related to transportation, infrastructure, and service availability. The study recommends improving healthcare equity through mobile healthcare units, gender-sensitive policies, enhanced public transportation, and infrastructure investments. These measures aim to optimize service delivery and ensure equitable healthcare access for all.

Zenodo (CERN European Organization for Nuclear Research)
Madurai Kamaraj University (IN), North Eastern Hill University (IN)
Gender equality
Openalex Percentile: Top 54%
Geochemistry and Geologic Mapping
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