dc.contributor.author | Ogwel, Billy | |
dc.contributor.author | Otieno, George Odhiambo | |
dc.contributor.author | Otieno, Gabriel | |
dc.contributor.author | Abila, James | |
dc.date.accessioned | 2021-05-26T06:59:08Z | |
dc.date.available | 2021-05-26T06:59:08Z | |
dc.date.issued | 2021-12-22 | |
dc.identifier.uri | http://repository.rongovarsity.ac.ke/handle/123456789/2324 | |
dc.description.abstract | Introduction: Healthcare delivery systems across the world have been shown to fall
short of the ideals of being cost-effective and meeting pre-established standards of
quality but the problem is more pronounced in Africa. Cloud computing emerges as a
platform healthcare institutions could leverage to address these shortfalls. The aim of
this study was to establish the extent of cloud computing adoption and its influence
on health service delivery by public health facilities in Kisumu County.
Methods: The study employed a cross-sectional study design in one-time data collection among facility in-charges and health records officers from 57 public health facilities. The target population was 114 healthcare personnel and the sample size
(n = 88) was computed using Yamane formula and drawn using stratified random
sampling. Poisson regression was used to determine the influence of cloud computing adoption on the number of realized benefits to health service delivery.
Results: Among 80 respondents, Cloud computing had been adopted by 42 (53%)
while Software-as-a-Service, Platform-as-a-Service and Infrastructure-as-a-Service
implementations were at 100%, 0% and 5% among adopters, respectively. Overall,
those who had adopted cloud computing realized a significantly higher number of
benefits to health service delivery compared to those who had not (Incident-rate
ratio (IRR) =1.93, 95% confidence interval (95% CI) [1.36-2.72]). A significantly
higher number of benefits was realized by those who had implemented
Infrastructure-as-a-Service alongside Software-as-a-Service (IRR = 2.22, 95% CI
[1.15-4.29]) and those who had implemented Software-as-a-Service only (IRR = 1.89,
95% CI [1.33-2.70]) compared to non-adopters. We observed similar results in the
stratified analysis looking at economic, operational, and functional benefits to health
service delivery.
Conclusion: Cloud computing resulted in improved health service delivery with these
benefits still being realized irrespective of the service implementation model
deployed. The findings buttress the need for healthcare institutions to adopt cloud computing and integrate it in their operations in order to improve health service
delivery. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Learning Health Systems | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
dc.subject | benefits, cloud computing, health facilities, health service delivery, Kenya | en_US |
dc.title | Leveraging cloud computing for improved health service delivery: Findings from public health facilities in Kisumu County, Western Kenya-2019 | en_US |
dc.type | Article | en_US |