Determinants of Devolved Service Delivery in the Public Health Sector in Marsabit County, Kenya

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dc.contributor.authorHussein, Hussein Ali
dc.date.accessioned2020-02-18T13:46:51Z
dc.date.available2020-02-18T13:46:51Z
dc.date.issued2019
dc.descriptionProposal Submitted In Partial Fulfilment of Requirements for the Award of Masters Degree in Public Policy and Administration (MPPA), Kenyatta Universityen_US
dc.description.abstractIn 2010, a new constitution was promulgated in Kenya. This introduced the concept of devolution of resources and power from the national government to 47 counties formed after the March 2013 general elections. Health service delivery was devolved and is now a function of the county governments Counties are responsible for hiring staff and the assignment of healthcare workers to the counties has been concluded. This study aims at investigating the determinants of devolved service delivery in the public health sector in Marsabit County, Kenya. The specific objectives are: To determine the influence of devolved leadership on devolved service delivery in the public health sector in Marsabit County, to evaluate the influence of devolved resource distribution on devolved service delivery in the public health sector in Marsabit County, to assess the influence of devolved public participation on devolved service delivery in the public health sector in Marsabit County and to examine the influence of devolved health policy on devolved service delivery in the public health sector in Marsabit County. The study will use descriptive research design. The target population will be 185 hospital staff in Marsabit County Referral Hospital and Moyale Sub County Referral hospital. The study will adopt simple stratified sampling to select 128 respondents from Marsabit County Referral Hospital and Moyale Sub County Referral hospital. This study will use both primary data and secondary data. After quantitative data is obtained through questionnaires, it will be prepared in readiness for analysis by editing, handling blank responses, coding, categorizing and keyed into statistical package for social sciences (SPSS) computer software for analysis. The choice of SPSS version 22 to other statistical software is that it is user friendly. The statistics generated will be descriptive statistics and inferential statistics. The specific descriptive statistics will include percentages and frequencies while the inferential statistics will include a multiple linear regression model. The multiple linear regression models will be used to measure the relationship between the independent variables and the dependent variable which are explained in the model. Microsoft excel will be used to complement SPSS especially in production of diagrams and tablesen_US
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/20165
dc.language.isoenen_US
dc.publisherKenyatta Universityen_US
dc.subjectDevolved Service Deliveryen_US
dc.subjectPublic Health Sectoren_US
dc.subjectMarsabit County, Kenyaen_US
dc.titleDeterminants of Devolved Service Delivery in the Public Health Sector in Marsabit County, Kenyaen_US
dc.typeThesisen_US
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