Maximila N. Wanzala, J. A Oloo, Gordon Nguka and Vincent Were. Application of Principal Component Analysis to Assess Health Systems Capacity Using Cross Sectional Data in Rural Western Kenya.
. 2019; 7(1):27-32. doi: 10.12691/AJPHR-7-1-5
principal component analysis, health systems, devolution
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[1] | De Savigny D, Adam T. Systems thinking for health systems strengthening. World Health Organization; 2009. |
|
[2] | Williamson T, Mulaki A. Devolution of Kenya’s health system, the role of HPP. RTI International. 2015. |
|
[3] | Wambua KC, Kiruthu Z. Decentralization of Government Operations and Service Delivery Performance by County Governments in Kenya. Master's Thesis, University of Nairobi, School of Business, Nairobi, Kenya. 2014. |
|
[4] | Government of Kenya G. Kenya Service Availability and Readiness Assessment Mapping (SARAM). Nairobi Ministry of Health; 2014. |
|
[5] | Tsofa B, Molyneux S, Gilson L, Goodman C. How does decentralisation affect health sector planning and financial management? a case study of early effects of devolution in Kilifi County, Kenya. International journal for equity in health. 2017; 16(1): 151. |
|
[6] | Govenment of Kenya G. Health Survey 2014: key indicators. Kenya National Bureau of Statistics (KNBS) and ICF Macro. 2014. |
|
[7] | Kolenikov S, Angeles G. The use of discrete data in PCA: theory, simulations, and applications to socioeconomic indices. Chapel Hill: Carolina Population Center, University of North Carolina. 2004:1-59. |
|
[8] | Kolenikov S, Angeles G. The use of discrete data in principal component analysis for socio-economic status evaluation. University of North Carolina at Chapel Hill, Carolina, NC. [Online] February. 2005. |
|
[9] | Vyas S, Kumaranayake L. Constructing socio-economic status indices: how to use principal components analysis. Health policy and planning. 2006; 21(6): 459-468. |
|
[10] | World_Health_Organization. (WHO). Handbook on health inequality monitoring with a special focus on low-and middle-income countries. WHO; 2013. |
|
[11] | Jackson EF, Siddiqui A, Gutierrez H, Kanté AM, Austin J, Phillips JF. Estimation of indices of health service readiness with a principal component analysis of the Tanzania Service Provision Assessment Survey. BMC health services research. 2015; 15(1): 536. |
|
[12] | Health Mo. Kenya Health Policy 2014-2030. Ministry of Health Nairobi, Kenya; 2014. |
|
[13] | Kenya_Ministry_of_Health_(MOH). Kenya Health Policy 2014-2030-Towards attaining the highest standard of health. In: health Mo, ed. Nairobi, Kenya: Kenya Ministry of Health; 2014. |
|
[14] | O'Neill K, Takane M, Sheffel A, Abou-Zahr C, Boerma T. Monitoring service delivery for universal health coverage: the Service Availability and Readiness Assessment. Bulletin of the World Health Organization. 2013; 91: 923-931. |
|
[15] | Scharadin BP. Principal component analysis of state level food system Indicators. 2012. |
|
[16] | Kimani L, Namusonge GS. FACTORS INSTRUMENTAL TO SUSTAINABILITY OF PROJECTS IN KENYA: A CASE STUDY OF OPARANYA MOTHER CARE KAKAMEGA COUNTY. Strategic Journal of Business & Change Management. 2016; 3(4). |
|
[17] | HPP. HEALTH POLICY PROJECT/KENYA Building capacity for improved health policy,advocacy, governance, and finance. 2014. |
|
[18] | Koikai JS. An Evaluation of the Effects of Devolution on Healthcare Delivery in Nakuru County 2015. |
|
[19] | AWINO OE. RESPONSE STRATEGIES ADOPTED BY THE MINISTRY OF HEALTH TO CHALLENGES OF DEVOLVED HEALTHCARE SERVICES IN KENYA, SCHOOL OF BUSINESS, UNIVERSITY OF NAIROBI; 2016. |
|
[20] | Miriti AK, Keiyoro P. Influence of devolution of government service delivery on provision of healthcare: A case of level five hospital in Meru County, Kenya. International Academic Journal of Information Sciences and Project Management. 2017; 2(1):316-334. |
|
[21] | Amek N, Vounatsou P, Obonyo B, et al. Using health and demographic surveillance system (HDSS) data to analyze geographical distribution of socio-economic status; an experience from KEMRI/CDC HDSS. Acta tropica. 2015; 144: 24-30. |
|
[22] | Were V, Buff AM, Desai M, et al. Socioeconomic health inequality in malaria indicators in rural western Kenya: evidence from a household malaria survey on burden and care-seeking behaviour. Malaria journal. 2018; 17(1): 166. |
|