Skip to main content
Top
Published in: International Journal for Equity in Health 1/2021

Open Access 01-12-2021 | Care | Research

Exploring country-wide equitable government health care facility access in Uganda

Author: Nicholas Dowhaniuk

Published in: International Journal for Equity in Health | Issue 1/2021

Login to get access

Abstract

Background

Rural access to health care remains a challenge in Sub-Saharan Africa due to urban bias, social determinants of health, and transportation-related barriers. Health systems in Sub-Saharan Africa often lack equity, leaving disproportionately less health center access for the poorest residents with the highest health care needs. Lack of health care equity in Sub-Saharan Africa has become of increasing concern as countries enter a period of simultaneous high infectious and non-communicable disease burdens, the second of which requires a robust primary care network due to a long continuum of care. Bicycle ownership has been proposed and promoted as one tool to reduce travel-related barriers to health-services among the poor.

Methods

An accessibility analysis was conducted to identify the proportion of Ugandans within one-hour travel time to government health centers using walking, bicycling, and driving scenarios. Statistically significant clusters of high and low travel time to health centers were calculated using spatial statistics. Random Forest analysis was used to explore the relationship between poverty, population density, health center access in minutes, and time saved in travel to health centers using a bicycle instead of walking. Linear Mixed-Effects Models were then used to validate the performance of the random forest models.

Results

The percentage of Ugandans within a one-hour walking distance of the nearest health center II is 71.73%, increasing to 90.57% through bicycles. Bicycles increased one-hour access to the nearest health center III from 53.05 to 80.57%, increasing access to the tiered integrated national laboratory system by 27.52 percentage points. Significant clusters of low health center access were associated with areas of high poverty and urbanicity. A strong direct relationship between travel time to health center and poverty exists at all health center levels. Strong disparities between urban and rural populations exist, with rural poor residents facing disproportionately long travel time to health center compared to wealthier urban residents.

Conclusions

The results of this study highlight how the most vulnerable Ugandans, who are the least likely to afford transportation, experience the highest prohibitive travel distances to health centers. Bicycles appear to be a “pro-poor” tool to increase health access equity.
Appendix
Available only for authorised users
Literature
1.
go back to reference Oloyede O. Rural-urban disparities in health and health Care in Africa: cultural competence, lay-beliefs in narratives of diabetes among the rural poor in the eastern Cape Province of South Africa. Afr Sociol Rev Rev Afr Sociol. 2017;21(2):36–57. Oloyede O. Rural-urban disparities in health and health Care in Africa: cultural competence, lay-beliefs in narratives of diabetes among the rural poor in the eastern Cape Province of South Africa. Afr Sociol Rev Rev Afr Sociol. 2017;21(2):36–57.
2.
go back to reference Strasser R, Kam SM, Regalado SM. Rural health care access and policy in developing countries. Annu Rev Public Health. 2016;3s7(1):395–412.CrossRef Strasser R, Kam SM, Regalado SM. Rural health care access and policy in developing countries. Annu Rev Public Health. 2016;3s7(1):395–412.CrossRef
4.
go back to reference McCord GC, Liu A, Singh P. Deployment of community health workers across rural sub-Saharan Africa: financial considerations and operational assumptions. Bull World Health Organ. 2013;91(4):244–253B.PubMedPubMedCentralCrossRef McCord GC, Liu A, Singh P. Deployment of community health workers across rural sub-Saharan Africa: financial considerations and operational assumptions. Bull World Health Organ. 2013;91(4):244–253B.PubMedPubMedCentralCrossRef
5.
go back to reference Bygbjerg IC. Double burden of noncommunicable and infectious diseases in developing countries. Science. 2012 Sep 21;337(6101):1499–501.PubMedCrossRef Bygbjerg IC. Double burden of noncommunicable and infectious diseases in developing countries. Science. 2012 Sep 21;337(6101):1499–501.PubMedCrossRef
6.
go back to reference Glasgow S, Schrecker T. The double burden of neoliberalism? Noncommunicable disease policies and the global political economy of risk. Health Place. 2016;39:204–11.PubMedCrossRef Glasgow S, Schrecker T. The double burden of neoliberalism? Noncommunicable disease policies and the global political economy of risk. Health Place. 2016;39:204–11.PubMedCrossRef
7.
go back to reference Dagadu HE, Patterson EJ. Placing a health equity Lens on non-communicable diseases in sub-Saharan Africa. J Health Care Poor Underserved. 2015 Aug 27;26(3):967–89.PubMedCrossRef Dagadu HE, Patterson EJ. Placing a health equity Lens on non-communicable diseases in sub-Saharan Africa. J Health Care Poor Underserved. 2015 Aug 27;26(3):967–89.PubMedCrossRef
9.
go back to reference O’Donnell O. Access to health care in developing countries: breaking down demand side barriers. Cad Saúde Pública. 2007 Dec;23(12):2820–34.PubMedCrossRef O’Donnell O. Access to health care in developing countries: breaking down demand side barriers. Cad Saúde Pública. 2007 Dec;23(12):2820–34.PubMedCrossRef
10.
go back to reference Lankowski AJ, Siedner MJ, Bangsberg DR, Tsai AC. Impact of geographic and transportation-related barriers on HIV outcomes in sub-Saharan Africa: a systematic review. AIDS Behav. 2014 Jul 1;18(7):1199–223.PubMedPubMedCentralCrossRef Lankowski AJ, Siedner MJ, Bangsberg DR, Tsai AC. Impact of geographic and transportation-related barriers on HIV outcomes in sub-Saharan Africa: a systematic review. AIDS Behav. 2014 Jul 1;18(7):1199–223.PubMedPubMedCentralCrossRef
11.
go back to reference Yao J, Murray AT, Agadjanian V. A geographical perspective on access to sexual and reproductive health care for women in rural Africa. Soc Sci Med. 2013 Nov 1;96:60–8.PubMedPubMedCentralCrossRef Yao J, Murray AT, Agadjanian V. A geographical perspective on access to sexual and reproductive health care for women in rural Africa. Soc Sci Med. 2013 Nov 1;96:60–8.PubMedPubMedCentralCrossRef
12.
go back to reference Ruktanonchai CW, Ruktanonchai NW, Nove A, Lopes S, Pezzulo C, Bosco C, et al. Equality in maternal and newborn health: Modelling geographic disparities in utilisation of Care in Five East African Countries. PLoS One. 2016 Aug 25;11(8):e0162006.PubMedPubMedCentralCrossRef Ruktanonchai CW, Ruktanonchai NW, Nove A, Lopes S, Pezzulo C, Bosco C, et al. Equality in maternal and newborn health: Modelling geographic disparities in utilisation of Care in Five East African Countries. PLoS One. 2016 Aug 25;11(8):e0162006.PubMedPubMedCentralCrossRef
13.
go back to reference Zikusooka C, Kyomuhang R, Orem J, Tumwine M. Is health care financing in Uganda equitable? Afr Health Sci. 2009;9(Suppl 2):S52–8.PubMedPubMedCentral Zikusooka C, Kyomuhang R, Orem J, Tumwine M. Is health care financing in Uganda equitable? Afr Health Sci. 2009;9(Suppl 2):S52–8.PubMedPubMedCentral
14.
go back to reference Kwesiga B, Ataguba JE, Abewe C, Kizza P, Zikusooka CM. Who pays for and who benefits from health care services in Uganda? BMC Health Serv Res. 2015 Feb 1;15(1):44.PubMedPubMedCentralCrossRef Kwesiga B, Ataguba JE, Abewe C, Kizza P, Zikusooka CM. Who pays for and who benefits from health care services in Uganda? BMC Health Serv Res. 2015 Feb 1;15(1):44.PubMedPubMedCentralCrossRef
16.
go back to reference Kiguli J, Ekirapa-Kiracho E, Okui O, Mutebi A, MacGregor H, Pariyo GW. Increasing access to quality health care for the poor: community perceptions on quality care in Uganda. Patient Prefer Adherence. 2009 Nov 3;3:77–85.PubMedPubMedCentral Kiguli J, Ekirapa-Kiracho E, Okui O, Mutebi A, MacGregor H, Pariyo GW. Increasing access to quality health care for the poor: community perceptions on quality care in Uganda. Patient Prefer Adherence. 2009 Nov 3;3:77–85.PubMedPubMedCentral
18.
go back to reference Chang H, Hawley NL, Kalyesubula R, Siddharthan T, Checkley W, Knauf F, et al. Challenges to hypertension and diabetes management in rural Uganda: a qualitative study with patients, village health team members, and health care professionals. Int J Equity Health [Internet]. 2019 Feb 28 [cited 2020 Jul 15];18. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394065/. Chang H, Hawley NL, Kalyesubula R, Siddharthan T, Checkley W, Knauf F, et al. Challenges to hypertension and diabetes management in rural Uganda: a qualitative study with patients, village health team members, and health care professionals. Int J Equity Health [Internet]. 2019 Feb 28 [cited 2020 Jul 15];18. Available from: https://​www.​ncbi.​nlm.​nih.​gov/​pmc/​articles/​PMC6394065/​.
19.
go back to reference Allen EP, Muhwezi WW, Henriksson DK, Mbonye AK. Health facility management and access: a qualitative analysis of challenges to seeking healthcare for children under five in Uganda. Health Policy Plan. 2017 Sep 1;32(7):934–42.PubMedPubMedCentralCrossRef Allen EP, Muhwezi WW, Henriksson DK, Mbonye AK. Health facility management and access: a qualitative analysis of challenges to seeking healthcare for children under five in Uganda. Health Policy Plan. 2017 Sep 1;32(7):934–42.PubMedPubMedCentralCrossRef
20.
go back to reference Wandera SO, Kwagala B, Ntozi J. Determinants of access to healthcare by older persons in Uganda: a cross-sectional study. Int J Equity Health. 2015 Mar 7;14(1):26.PubMedPubMedCentralCrossRef Wandera SO, Kwagala B, Ntozi J. Determinants of access to healthcare by older persons in Uganda: a cross-sectional study. Int J Equity Health. 2015 Mar 7;14(1):26.PubMedPubMedCentralCrossRef
21.
go back to reference Tanou M, Kamiya Y. Assessing the impact of geographical access to health facilities on maternal healthcare utilization: evidence from the Burkina Faso demographic and health survey 2010. BMC Public Health. 2019 Jun 27;19(1):838.PubMedPubMedCentralCrossRef Tanou M, Kamiya Y. Assessing the impact of geographical access to health facilities on maternal healthcare utilization: evidence from the Burkina Faso demographic and health survey 2010. BMC Public Health. 2019 Jun 27;19(1):838.PubMedPubMedCentralCrossRef
22.
go back to reference Maina J, Ouma PO, Macharia PM, Alegana VA, Mitto B, Fall IS, et al. A spatial database of health facilities managed by the public health sector in sub Saharan Africa. Sci Data. 2019 Jul 25;6(1):1–8.CrossRef Maina J, Ouma PO, Macharia PM, Alegana VA, Mitto B, Fall IS, et al. A spatial database of health facilities managed by the public health sector in sub Saharan Africa. Sci Data. 2019 Jul 25;6(1):1–8.CrossRef
23.
go back to reference Tanser F. Methodology for optimising location of new primary health care facilities in rural communities: a case study in KwaZulu-Natal, South Africa. J Epidemiol Community Health. 2006;60(10):846–50.PubMedPubMedCentralCrossRef Tanser F. Methodology for optimising location of new primary health care facilities in rural communities: a case study in KwaZulu-Natal, South Africa. J Epidemiol Community Health. 2006;60(10):846–50.PubMedPubMedCentralCrossRef
24.
go back to reference UBOS. National Population and Housing Census 2014. Kampala: Uganda Bureau of Statistics; 2014. UBOS. National Population and Housing Census 2014. Kampala: Uganda Bureau of Statistics; 2014.
25.
go back to reference UBOS. National Service Delivery Survey 2015. Kampala: Uganda Bureau of Statistics; 2015. UBOS. National Service Delivery Survey 2015. Kampala: Uganda Bureau of Statistics; 2015.
27.
go back to reference Ministry of Health. Health Sector Development Plan 2015/16–2019/20. Kampala: Republic of Uganda Ministry of Health; 2015. Ministry of Health. Health Sector Development Plan 2015/16–2019/20. Kampala: Republic of Uganda Ministry of Health; 2015.
30.
go back to reference Nabyonga J, Desmet M, Karamagi H, Kadama P, Omaswa F, Walker O. Abolition of cost-sharing is pro-poor: evidence from Uganda. Health Policy Plan. 2005 Mar 1;20(2):100–8.PubMedCrossRef Nabyonga J, Desmet M, Karamagi H, Kadama P, Omaswa F, Walker O. Abolition of cost-sharing is pro-poor: evidence from Uganda. Health Policy Plan. 2005 Mar 1;20(2):100–8.PubMedCrossRef
31.
go back to reference Deininger K, Mpuga P. Economic and welfare impact of the abolition of health user fees: evidence from Uganda. J Afr Econ. 2005;14(1):55–91.CrossRef Deininger K, Mpuga P. Economic and welfare impact of the abolition of health user fees: evidence from Uganda. J Afr Econ. 2005;14(1):55–91.CrossRef
33.
go back to reference UBOS and ICF. Uganda Demographic and Health Survey 2016. Kampala and Rockville, Maryland: Uganda Bureau of Statistics; 2018. UBOS and ICF. Uganda Demographic and Health Survey 2016. Kampala and Rockville, Maryland: Uganda Bureau of Statistics; 2018.
34.
go back to reference Farr TG, Rosen PA, Caro E, Crippen R, Duren R, Hensley S, et al. The shuttle radar topography mission. Rev Geophys. 2007;45:2.CrossRef Farr TG, Rosen PA, Caro E, Crippen R, Duren R, Hensley S, et al. The shuttle radar topography mission. Rev Geophys. 2007;45:2.CrossRef
35.
go back to reference Center for International Earth Science Information Network. Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC);. Center for International Earth Science Information Network. Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC);.
36.
go back to reference HOTOSM Uganda Roads. Humanitarian Open Street Map Team; 2020. HOTOSM Uganda Roads. Humanitarian Open Street Map Team; 2020.
38.
go back to reference Uganda Ministry of Health. Uganda Health Facility Locations. 2020. Uganda Ministry of Health. Uganda Health Facility Locations. 2020.
39.
go back to reference UNEP-WCMC and IUCN. Protected Planet: The World Database on Protected Areas (WDPA. Camb UK). 2020;. UNEP-WCMC and IUCN. Protected Planet: The World Database on Protected Areas (WDPA. Camb UK). 2020;.
40.
42.
go back to reference Ouma PO, Maina J, Thuranira PN, Macharia PM, Alegana VA, English M, et al. Access to emergency hospital care provided by the public sector in sub-Saharan Africa in 2015: a geocoded inventory and spatial analysis. Lancet Glob Health. 2018 Mar 1;6(3):e342–50.PubMedPubMedCentralCrossRef Ouma PO, Maina J, Thuranira PN, Macharia PM, Alegana VA, English M, et al. Access to emergency hospital care provided by the public sector in sub-Saharan Africa in 2015: a geocoded inventory and spatial analysis. Lancet Glob Health. 2018 Mar 1;6(3):e342–50.PubMedPubMedCentralCrossRef
44.
go back to reference Anselin L, McCann M. OpenGeoDa, open source software for the exploration and visualization of geospatial data. In: GIS ‘09: Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems [Internet]. 2009. p. 550–1. Available from: https://doi.org/10.1145/1653771.1653871. Anselin L, McCann M. OpenGeoDa, open source software for the exploration and visualization of geospatial data. In: GIS ‘09: Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems [Internet]. 2009. p. 550–1. Available from: https://​doi.​org/​10.​1145/​1653771.​1653871.
45.
go back to reference Getis A, Ord JK. The analysis of spatial association by use of distance statistics. Geogr Anal. 1992;24:189–206.CrossRef Getis A, Ord JK. The analysis of spatial association by use of distance statistics. Geogr Anal. 1992;24:189–206.CrossRef
46.
go back to reference Getis A, Morrison AC, Gray K, Scott TW. Characteristics of the spatial pattern of the dengue vector, Aedes aegypti, in Iquitos. Peru Am J Trop Med Hyg. 2003;69(5):494–505.PubMedCrossRef Getis A, Morrison AC, Gray K, Scott TW. Characteristics of the spatial pattern of the dengue vector, Aedes aegypti, in Iquitos. Peru Am J Trop Med Hyg. 2003;69(5):494–505.PubMedCrossRef
49.
go back to reference Santos ME, Alkire S. Training material for producing national human development reports: the multidimensional poverty index MPI. MPI: Construction & Analysis; 2011. Santos ME, Alkire S. Training material for producing national human development reports: the multidimensional poverty index MPI. MPI: Construction & Analysis; 2011.
50.
go back to reference Center for International Earth Science Information Network - CIESIN - Columbia University. Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision UN WPP Country Totals, Revision 11 [Internet]. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC); 2018. Available from: https://doi.org/10.7927/H4F47M65. Center for International Earth Science Information Network - CIESIN - Columbia University. Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision UN WPP Country Totals, Revision 11 [Internet]. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC); 2018. Available from: https://​doi.​org/​10.​7927/​H4F47M65.
51.
go back to reference Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate data analysis: with readings. Englewood Cliffs: Prentice-Hall; 1995. Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate data analysis: with readings. Englewood Cliffs: Prentice-Hall; 1995.
52.
go back to reference Hothorn T, Hornik K, Zeileis A. Unbiased recursive partitioning: a conditional inference framework. J Comput Graph Stat. 2006 Sep;15(3):651–74.CrossRef Hothorn T, Hornik K, Zeileis A. Unbiased recursive partitioning: a conditional inference framework. J Comput Graph Stat. 2006 Sep;15(3):651–74.CrossRef
55.
56.
go back to reference Greenwell BM. Pdp: an R package for constructing partial dependence plots. R J. 2017;9(1):421–36.CrossRef Greenwell BM. Pdp: an R package for constructing partial dependence plots. R J. 2017;9(1):421–36.CrossRef
58.
go back to reference West BT, Welch KB, Galecki AT. Linear mixed models: a practical guide using statistical software. Taylor & Francis Group: Boca Raton, FL; 2007. West BT, Welch KB, Galecki AT. Linear mixed models: a practical guide using statistical software. Taylor & Francis Group: Boca Raton, FL; 2007.
60.
go back to reference Zhang L, Ma Z, Guo L. An evaluation of spatial autocorrelation and heterogeneity in the residuals of six regression models. For Sci. 2009;55(6):533–48. Zhang L, Ma Z, Guo L. An evaluation of spatial autocorrelation and heterogeneity in the residuals of six regression models. For Sci. 2009;55(6):533–48.
61.
go back to reference Tukey JW. Exploratory Data Analysis. Reading, MA.: Addison-Wesley; 1977. Tukey JW. Exploratory Data Analysis. Reading, MA.: Addison-Wesley; 1977.
62.
go back to reference Bakeera SK, Wamala SP, Galea S, State A, Peterson S, Pariyo GW. Community perceptions and factors influencing utilization of health services in Uganda. Int J Equity Health. 2009 Jul 14;8(1):25.PubMedPubMedCentralCrossRef Bakeera SK, Wamala SP, Galea S, State A, Peterson S, Pariyo GW. Community perceptions and factors influencing utilization of health services in Uganda. Int J Equity Health. 2009 Jul 14;8(1):25.PubMedPubMedCentralCrossRef
63.
go back to reference Odaga J, Cattaneo A. Health inequity in Uganda: the role of financial and non-financial barriers. Health Policy Dev. 2004;2(3):192–208. Odaga J, Cattaneo A. Health inequity in Uganda: the role of financial and non-financial barriers. Health Policy Dev. 2004;2(3):192–208.
65.
go back to reference Kiyaga C, Sendagire H, Joseph E, McConnell I, Grosz J, Narayan V, et al. Uganda’s New National Laboratory Sample Transport System: A Successful Model for Improving Access to Diagnostic Services for Early Infant HIV Diagnosis and Other Programs. PLoS ONE [Internet]. 2013 Nov 13 [cited 2020 Jul 16];8(11). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3827263/. Kiyaga C, Sendagire H, Joseph E, McConnell I, Grosz J, Narayan V, et al. Uganda’s New National Laboratory Sample Transport System: A Successful Model for Improving Access to Diagnostic Services for Early Infant HIV Diagnosis and Other Programs. PLoS ONE [Internet]. 2013 Nov 13 [cited 2020 Jul 16];8(11). Available from: https://​www.​ncbi.​nlm.​nih.​gov/​pmc/​articles/​PMC3827263/​.
66.
go back to reference Kiwanuka SN, Ekirapa EK, Peterson S, Okui O, Rahman MH, Peters D, et al. Access to and utilisation of health services for the poor in Uganda: a systematic review of available evidence. Trans R Soc Trop Med Hyg. 2008 Nov;102(11):1067–74.PubMedCrossRef Kiwanuka SN, Ekirapa EK, Peterson S, Okui O, Rahman MH, Peters D, et al. Access to and utilisation of health services for the poor in Uganda: a systematic review of available evidence. Trans R Soc Trop Med Hyg. 2008 Nov;102(11):1067–74.PubMedCrossRef
68.
go back to reference MOHU. Annual Health Sector Performance Report: Financial Year 2019/20. Kampala: Ministry of Health Uganda; 2020. MOHU. Annual Health Sector Performance Report: Financial Year 2019/20. Kampala: Ministry of Health Uganda; 2020.
69.
go back to reference MOHU. Human resources for health bi-annual report: Improving HRH Evidence for Decision Making October 2014/March 2015. Kampala: Ministry of Health Uganda; 2015. MOHU. Human resources for health bi-annual report: Improving HRH Evidence for Decision Making October 2014/March 2015. Kampala: Ministry of Health Uganda; 2015.
Metadata
Title
Exploring country-wide equitable government health care facility access in Uganda
Author
Nicholas Dowhaniuk
Publication date
01-12-2021
Publisher
BioMed Central
Keyword
Care
Published in
International Journal for Equity in Health / Issue 1/2021
Electronic ISSN: 1475-9276
DOI
https://doi.org/10.1186/s12939-020-01371-5

Other articles of this Issue 1/2021

International Journal for Equity in Health 1/2021 Go to the issue