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Spatial Accessibility of Primary Care in the Dual Public–Private Health System in Rural Areas, Malaysia

Author

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  • Jabrullah Ab Hamid

    (Department of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia
    Institute for Health Systems Research, National Institutes of Health, Ministry of Health Malaysia, Blok B2, Kompleks NIH, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam 40170, Selangor, Malaysia)

  • Muhamad Hanafiah Juni

    (Department of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia)

  • Rosliza Abdul Manaf

    (Department of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia)

  • Sharifah Norkhadijah Syed Ismail

    (Department of Environmental and Occupational Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia
    Research Institute on Ageing (MyAgeing), Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia)

  • Poh Ying Lim

    (Department of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia)

Abstract

Disparities in access to health services in rural areas represent a global health issue. Various external factors contribute to these disparities and each root requires specific remedial action to alleviate the issue. This study elucidates an approach to assessing the spatial accessibility of primary care, considering Malaysia’s dual public–private system specifically in rural areas, and identifies its associated ecological factors. Spatial accessibility was calculated using the Enhance 2-Step Floating Catchment Area (E2SFCA) method, modified as per local context. Data were secondary sourced from Population and Housing Census data and administrative datasets pertaining to health facilities and road network. The spatial pattern of the E2SFCA scores were depicted using Hot spot Analysis. Hierarchical multiple linear regression and geographical weight regression were performed to identify factors that affect E2SFCA scores. Hot spot areas revolved near the urban agglomeration, largely contributed by the private sector. Distance to urban areas, road density, population density dependency ratios and ethnic composition were among the associated factors. Accurate conceptualization and comprehensive assessment of accessibility are crucial for evidence-based decision making by the policymakers and health authorities in identifying areas that need attention for a more specific and localized planning and development.

Suggested Citation

  • Jabrullah Ab Hamid & Muhamad Hanafiah Juni & Rosliza Abdul Manaf & Sharifah Norkhadijah Syed Ismail & Poh Ying Lim, 2023. "Spatial Accessibility of Primary Care in the Dual Public–Private Health System in Rural Areas, Malaysia," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3147-:d:1064682
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    References listed on IDEAS

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