Home > Research > Publications & Outputs > Approaches to Defining Health Facility Catchmen...

Links

Text available via DOI:

View graph of relations

Approaches to Defining Health Facility Catchment Areas in Sub-Saharan Africa

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

Published

Standard

Approaches to Defining Health Facility Catchment Areas in Sub-Saharan Africa. / Macharia, Peter; Odhiambo, Julius Nyerere; Mumo, Eda et al.
Health and Medical Geography in Africa: Global Perspectives on Health Geography. ed. / Y. Adewoyin. Cham: Springer, 2023.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

Harvard

Macharia, P, Odhiambo, JN, Mumo, E, Maina, A, Giorgi, E & Okiro, EA 2023, Approaches to Defining Health Facility Catchment Areas in Sub-Saharan Africa. in Y Adewoyin (ed.), Health and Medical Geography in Africa: Global Perspectives on Health Geography. Springer, Cham. https://doi.org/10.1007/978-3-031-41268-4_21

APA

Macharia, P., Odhiambo, J. N., Mumo, E., Maina, A., Giorgi, E., & Okiro, E. A. (2023). Approaches to Defining Health Facility Catchment Areas in Sub-Saharan Africa. In Y. Adewoyin (Ed.), Health and Medical Geography in Africa: Global Perspectives on Health Geography Springer. https://doi.org/10.1007/978-3-031-41268-4_21

Vancouver

Macharia P, Odhiambo JN, Mumo E, Maina A, Giorgi E, Okiro EA. Approaches to Defining Health Facility Catchment Areas in Sub-Saharan Africa. In Adewoyin Y, editor, Health and Medical Geography in Africa: Global Perspectives on Health Geography. Cham: Springer. 2023 doi: 10.1007/978-3-031-41268-4_21

Author

Macharia, Peter ; Odhiambo, Julius Nyerere ; Mumo, Eda et al. / Approaches to Defining Health Facility Catchment Areas in Sub-Saharan Africa. Health and Medical Geography in Africa: Global Perspectives on Health Geography. editor / Y. Adewoyin. Cham : Springer, 2023.

Bibtex

@inbook{58e8e558e4694c0289b01b50a9cd53ed,
title = "Approaches to Defining Health Facility Catchment Areas in Sub-Saharan Africa",
abstract = "The geographical area around a health facility characterising the population that utilizes some or all of its services – a health facility catchment area (HFCA) – forms the fundamental basis of estimating reliable population denominator for disease mapping and routine healthcare planning. Consequently, the approaches used to delineate the catchment area have a direct impact on the health of a population. To date, there is no systematic literature review documenting different approaches that have been used to define HFCAs while elucidating the implications on derived population denominators. To fill this gap, this chapter systematically reviewed literature and documented approaches that have been used to define HFCA in sub-Saharan Africa (SSA). Various approaches have been used to define catchment areas in SSA with varying degrees of complexity and limitations in the last four decades. These approaches are mainly driven by lack of geocoded data on the residential address of care seekers and their care-seeking behaviour. To generate closer-to-reality HFCA, for robust disease mapping and healthcare planning, additional data and innovative approaches balancing between model complexity and routine programmatic use are required.",
author = "Peter Macharia and Odhiambo, {Julius Nyerere} and Eda Mumo and Alex Maina and Emanuele Giorgi and Okiro, {Emelda A.}",
year = "2023",
month = oct,
day = "31",
doi = "10.1007/978-3-031-41268-4_21",
language = "English",
isbn = "9783031412677",
editor = "Y. Adewoyin",
booktitle = "Health and Medical Geography in Africa",
publisher = "Springer",

}

RIS

TY - CHAP

T1 - Approaches to Defining Health Facility Catchment Areas in Sub-Saharan Africa

AU - Macharia, Peter

AU - Odhiambo, Julius Nyerere

AU - Mumo, Eda

AU - Maina, Alex

AU - Giorgi, Emanuele

AU - Okiro, Emelda A.

PY - 2023/10/31

Y1 - 2023/10/31

N2 - The geographical area around a health facility characterising the population that utilizes some or all of its services – a health facility catchment area (HFCA) – forms the fundamental basis of estimating reliable population denominator for disease mapping and routine healthcare planning. Consequently, the approaches used to delineate the catchment area have a direct impact on the health of a population. To date, there is no systematic literature review documenting different approaches that have been used to define HFCAs while elucidating the implications on derived population denominators. To fill this gap, this chapter systematically reviewed literature and documented approaches that have been used to define HFCA in sub-Saharan Africa (SSA). Various approaches have been used to define catchment areas in SSA with varying degrees of complexity and limitations in the last four decades. These approaches are mainly driven by lack of geocoded data on the residential address of care seekers and their care-seeking behaviour. To generate closer-to-reality HFCA, for robust disease mapping and healthcare planning, additional data and innovative approaches balancing between model complexity and routine programmatic use are required.

AB - The geographical area around a health facility characterising the population that utilizes some or all of its services – a health facility catchment area (HFCA) – forms the fundamental basis of estimating reliable population denominator for disease mapping and routine healthcare planning. Consequently, the approaches used to delineate the catchment area have a direct impact on the health of a population. To date, there is no systematic literature review documenting different approaches that have been used to define HFCAs while elucidating the implications on derived population denominators. To fill this gap, this chapter systematically reviewed literature and documented approaches that have been used to define HFCA in sub-Saharan Africa (SSA). Various approaches have been used to define catchment areas in SSA with varying degrees of complexity and limitations in the last four decades. These approaches are mainly driven by lack of geocoded data on the residential address of care seekers and their care-seeking behaviour. To generate closer-to-reality HFCA, for robust disease mapping and healthcare planning, additional data and innovative approaches balancing between model complexity and routine programmatic use are required.

U2 - 10.1007/978-3-031-41268-4_21

DO - 10.1007/978-3-031-41268-4_21

M3 - Chapter (peer-reviewed)

SN - 9783031412677

BT - Health and Medical Geography in Africa

A2 - Adewoyin, Y.

PB - Springer

CY - Cham

ER -