Determinants of Service Delivery in the Health Sector among Selected Counties in Kenya

Simple item page
dc.contributor.authorBengat, Joseph K.
dc.contributor.authorNassiuma, Bernard. K.
dc.contributor.authorKwonyike, Joshua
dc.date.accessioned2021-06-08T06:07:48Z
dc.date.available2021-06-08T06:07:48Z
dc.date.issued2017-11
dc.description.abstractThis study investigated determinants of service delivery in the health sector in Kenya.The study examined the effect of Public-Private Partnership (PPPs), Transfer Pricing, New public management in Service Delivery. The research adapted pragmatism paradigm, Research approach utilized was mixed method approach, design. Research utilized was s descriptive survey design, target population consisted of health workers 1,740, a sample size of 314 respondents was adopted from a thesis. Analysis was employed by Structure Equation Modeling.Findings: Two null hypotheses were rejected hence Public-Private Partnership positively affects Service Delivery. Transfer Pricing model was reliable and had good fit, (NFI = 0.912); New public management posted low CFI and GFI. Ant-Image for (PPP, TP& NPM posted: ai = 0.970, = 0.980 &=0.620) respectively. Results for transfer pricing indicate that ratio index, 2.15 is less than 5, in other words the model is a good fit. The relative chi-square should be 5 or less to reflect good fit or acceptable fit. New public management indicate ratio index , 6.30 more than 5 indicating a model of not good fit its, CFI .890, NFI, 0.7 lower than threshold . Public-Private Partnership had ratio, 1.907 which is less than 5 in other words the model is a good fit. Its also indicates NFI= 0.900, and GFI = 0.911.The study concludes that new public management loaded poorly hence the variable had lower weight as a predictor compared to the two predictors. Transfer pricing strongly influences Service Delivery, but its model is not fit. All in all the three constructs: PPP and TP are good contributors to Service Delivery, New public management loaded poorly with a lower weight and weak association compared to other predictors. This research recommends that New Public Management should be further researched.en_US
dc.identifier.citationThe International Journal of Social Sciences and Humanities Invention 4(11): 4138-4143en_US
dc.identifier.issn2349-2031
dc.identifier.uriDOI: 10.18535/ijsshi/v4i11.08
dc.identifier.urihttp://repository.embuni.ac.ke/handle/embuni/3792
dc.language.isoenen_US
dc.subjectPublic-Private Partnership (PPPs)en_US
dc.subjectTransfer Pricing (TP)en_US
dc.subjectnew public management (NPM)en_US
dc.subjectStructural Equation Modeling (SEM)en_US
dc.subjectAnt Image Correlation (ai)en_US
dc.subjectConfirmatory Factor Analysis (CFA)en_US
dc.titleDeterminants of Service Delivery in the Health Sector among Selected Counties in Kenyaen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Determinants_of_Service_Delivery_in_the_Health_Sec.pdf
Size:
449.51 KB
Format:
Adobe Portable Document Format
Description:
Full text
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Articles: Department of Business