TY - JOUR
T1 - Geospatial Analysis of Dental Access and Workforce Distribution in Kenya
AU - Okumu, Brenda A.
AU - Tennant, Marc
AU - Kruger, Estie
AU - Kemoli, Arthur M.
AU - Roberts, Frank A.
AU - Seminario, Ana L.
N1 - Funding Information:
The authors would like to acknowledge the following for their contribution towards this study: The Kenya Medical Practitioners and Dentists Council and the Ministry of Health for providing the dental workforce data for the study; the Australian government through Australia Awards Scholarship for funding my studies and travel to and from Kenya at the time this research was conducted; and Mink Lee, Lynly Beard, Janella Bermudez, Pooja Rajanbabu, Elizabeth Bedford and Joseph Zunt, all of University of Washington for their assistance and guidance in writing and editing this manuscript.
Funding Information:
The first author was under a full Australia Awards Scholarship at the time of conducting this study. In addition, support for publishing this manuscript was provided by the University of Washington Global Innovation Fund 2021.
Publisher Copyright:
© 2022, Ubiquity Press. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Background and Objective: One of the major factors affecting access to quality oral healthcare in low-and middle-income countries is the under-supply of the dental workforce. The aim of this study was to use Geographical Information System (GIS) to analyse the distribution and accessibility of the dental workforce and facilities across the Kenyan counties. Methods: This was a cross-sectional study targeting dental professionals and their practices in Kenya in 2013. Using QGIS 3.16, these data were overlaid with data on population size and urbanization levels. For access measurement, buffers were drawn around each clinic at distances of 2.5, 5, 10 and 20 km, and the population within each determined. Findings: Nine hundred six dental professionals in 337 dental clinic locations were included in the study. Dentists, community oral health officers (equivalent to dental therapists) and dental technologists comprised 72%, 15% and 12%, respectively. Nairobi county with 100% urbanization and >4000 people/km2 had 43% of the workforce and a dentist to population ratio of 1:9,018. Wajir with an urbanization level of 15% and 12 people/km2 had no dental facility. Overall, 11%, 19%, 35% and 58% of the Kenyan population were within 2.5, 5, 10 and 20 km radius of a dental clinic respectively. Conclusion: Maldistribution of dental workforce in Kenya persists, particularly in less urbanized and sparsely populated areas. GIS map production give health planners a better visual picture of areas that are most in need of health care services based on population profiles.
AB - Background and Objective: One of the major factors affecting access to quality oral healthcare in low-and middle-income countries is the under-supply of the dental workforce. The aim of this study was to use Geographical Information System (GIS) to analyse the distribution and accessibility of the dental workforce and facilities across the Kenyan counties. Methods: This was a cross-sectional study targeting dental professionals and their practices in Kenya in 2013. Using QGIS 3.16, these data were overlaid with data on population size and urbanization levels. For access measurement, buffers were drawn around each clinic at distances of 2.5, 5, 10 and 20 km, and the population within each determined. Findings: Nine hundred six dental professionals in 337 dental clinic locations were included in the study. Dentists, community oral health officers (equivalent to dental therapists) and dental technologists comprised 72%, 15% and 12%, respectively. Nairobi county with 100% urbanization and >4000 people/km2 had 43% of the workforce and a dentist to population ratio of 1:9,018. Wajir with an urbanization level of 15% and 12 people/km2 had no dental facility. Overall, 11%, 19%, 35% and 58% of the Kenyan population were within 2.5, 5, 10 and 20 km radius of a dental clinic respectively. Conclusion: Maldistribution of dental workforce in Kenya persists, particularly in less urbanized and sparsely populated areas. GIS map production give health planners a better visual picture of areas that are most in need of health care services based on population profiles.
KW - dental access
KW - dental workforce distribution
KW - dentists
KW - Geographical Information System
KW - Kenya
KW - population size
KW - urbanization
UR - http://www.scopus.com/inward/record.url?scp=85142219605&partnerID=8YFLogxK
U2 - 10.5334/aogh.3903
DO - 10.5334/aogh.3903
M3 - Article
C2 - 36474897
AN - SCOPUS:85142219605
SN - 2214-9996
VL - 88
JO - Annals of Global Health
JF - Annals of Global Health
IS - 1
ER -