<?xml version="1.0" encoding="UTF-8"?>
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<title>COHRED Students Publications</title>
<link href="http://localhost/xmlui/handle/123456789/5456" rel="alternate"/>
<subtitle>Publications by  students of COHRED</subtitle>
<id>http://localhost/xmlui/handle/123456789/5456</id>
<updated>2026-05-17T09:30:30Z</updated>
<dc:date>2026-05-17T09:30:30Z</dc:date>
<entry>
<title>Green Occupational Health, Safety and Performance of Devolved Healthcare Services in Kenya</title>
<link href="http://localhost/xmlui/handle/123456789/6952" rel="alternate"/>
<author>
<name>Bogonko, Nelson Momanyi</name>
</author>
<id>http://localhost/xmlui/handle/123456789/6952</id>
<updated>2026-05-11T12:40:49Z</updated>
<published>2026-05-11T00:00:00Z</published>
<summary type="text">Green Occupational Health, Safety and Performance of Devolved Healthcare Services in Kenya
Bogonko, Nelson Momanyi
Green human resource management is the adoption of policies and practices to attain sustainable use of a firm's resources while &#13;
enhancing environmental sustainability, which also boosts employee morale and satisfaction with firm performance. Level Five &#13;
hospitals in Kenya are increasingly expected by law to implement environmentally sustainable practices. This study aimed to &#13;
determine the effect of green occupational safety and health on the performance of devolved healthcare services in Kenya. A mixed&#13;
methods research design was used, whereby the researchers combined the elements of quantitative and qualitative approaches. The &#13;
study targeted 5,960 employees working in 12 Level Five hospitals in Kenya. This study applied multi-stage random sampling, &#13;
which refers to dividing the population into units or smaller and smaller groups and selecting the sample). In the first stage, simple &#13;
random sampling was used to select four of the 12 Level Five hospitals with an accessible population of 1310. In the second stage, &#13;
purposive sampling was used to select a sample of 131 respondents, representing 10% of the accessible population. Data collection &#13;
tools were questionnaires, interviews, and document analysis. The study applied descriptive and inferential statistics to analyze &#13;
data. The findings revealed a strong positive and significant relationship between green occupational safety, health and the &#13;
performance of devolved healthcare services in Kenya. The study concluded that green occupational safety and health had a &#13;
significant effect on the performance of devolved healthcare services. The study recommended that devolved healthcare services &#13;
should improve if they continuously used green occupational safety and health management systems that reduce accidents and &#13;
injuries; utilized paperless offices so as to create a clean and safe work environment; applied eco-friendly medical waste disposal &#13;
methods such as waste minimization, segregation, and recycling; used eco-friendly safety gadgets; and conducted regular safety &#13;
and health audits. &#13;
Keywords: Devolved Healthcare Services, Green Human Resource Management, Green Occupational Safety and Health, Human &#13;
Resource Management, Human Resource
PhD Research Publication
</summary>
<dc:date>2026-05-11T00:00:00Z</dc:date>
</entry>
<entry>
<title>The Effect of Informed Consent in Communicating with PLHIV in Siaya, Kenya</title>
<link href="http://localhost/xmlui/handle/123456789/6840" rel="alternate"/>
<author>
<name>Marimba, Benson Kairichi</name>
</author>
<id>http://localhost/xmlui/handle/123456789/6840</id>
<updated>2025-11-28T16:31:05Z</updated>
<published>2025-11-28T00:00:00Z</published>
<summary type="text">The Effect of Informed Consent in Communicating with PLHIV in Siaya, Kenya
Marimba, Benson Kairichi
Purpose: The purpose was to establish the effect of &#13;
informed consent in communicating with Person’s Living &#13;
with HIV (PLHIV) in Siaya, Kenya. &#13;
Methodology: This was both a descriptive research and &#13;
inferential design. Data was collected using a field survey &#13;
involving two sets of questionnaires for key informant and &#13;
PLHIV interviews. Spearman’s rho correlations and &#13;
simple linear regression models were used to estimate the &#13;
relationship between the independent variable (informed &#13;
consent) and the dependent variable (communication), and &#13;
ANOVA test was done to test the hypothesis.  &#13;
Findings: The calculated proportionate sample size was &#13;
374. However, the respondents rose to 396 which &#13;
represented 96.18% of those who agreed to be &#13;
interviewed, with 17 rejections which were removed from &#13;
analysis leaving a sample of 376. Normality Test was &#13;
conducted to determine the study sample was drawn from &#13;
normal population. Under null hypothesis, there was no &#13;
difference between the sample and the population from &#13;
which the sample was drawn and therefore there was &#13;
significant evidence to reject the null hypothesis and &#13;
accept &#13;
the alternative hypothesis (p-value=0.000 &#13;
CI=95%). Further, findings show that 82.30% enrolled &#13;
onto the Text for Adherence (T4A) mobile app voluntarily &#13;
and 70.71% signed the consent form and 6.07% stated that &#13;
consent was implied. &#13;
Unique Contribution to Theory, Practice and Policy: &#13;
The Technology Readiness (TR), Technology Acceptance &#13;
Model (TAM) and Diffusion of Innovations (DOI were &#13;
used to anchor future studies. This study has concluded &#13;
that it was important for individuals enrolling into mhealth &#13;
communication interventions to consent and this &#13;
responsibility is for system supporters in mhealth space. &#13;
The findings further established that enrolment onto &#13;
mhealth apps improves health status of patients suffering &#13;
from chronic illnesses. This has implications for policy &#13;
changes or improvements in mhealth generally in Kenya &#13;
and globally. A positive intervention such as Text for &#13;
Adherence (T4A) should prompt the government to scale &#13;
up enrolment by supporting system supporters or taking &#13;
over the enrolment entirely as a matter of public health &#13;
promotion. &#13;
Keywords: Informed Consent, Persons Living With HIV &#13;
(PLHIV), Text for Adherence (T4A).  &#13;
©2023 by the Authors. This Article is an open access &#13;
article distributed under the terms and conditions of the &#13;
Creative Commons Attribution (CC BY) license &#13;
(http://creativecommons.org/licenses/by/4.0/)
PhD Research Publication
</summary>
<dc:date>2025-11-28T00:00:00Z</dc:date>
</entry>
<entry>
<title>Determining the Effect of Voluntary Participation in Communicating with PLHIV in  Siaya County, Kenya</title>
<link href="http://localhost/xmlui/handle/123456789/6839" rel="alternate"/>
<author>
<name>Marimba, Benson Kairichi</name>
</author>
<id>http://localhost/xmlui/handle/123456789/6839</id>
<updated>2025-11-28T16:26:56Z</updated>
<published>2025-11-28T00:00:00Z</published>
<summary type="text">Determining the Effect of Voluntary Participation in Communicating with PLHIV in  Siaya County, Kenya
Marimba, Benson Kairichi
Purpose: This research aimed to determine 1the effect &#13;
of voluntary participation 1in communicating with &#13;
PLHIV 1in 1Siaya, 1Kenya. &#13;
Methodology: This study utilized a 1descriptive &#13;
research approach and 1inferential 1design through a &#13;
1&#13;
 field survey, employing two distinct 1sets of &#13;
questionnaires. One was administered 1to the key &#13;
informant and the other to Persons Living with HIV &#13;
(PLHIV).1Spearman’s 1rho 1correlations 1and simple &#13;
linear1regression1models were also applied to assess &#13;
the association between voluntary engagement as 1the &#13;
independent variable and communication as the &#13;
1dependent 1variable. ANOVA 1test 1was also &#13;
performed 1to test the hypothesis 1and results were &#13;
1presented 1in 1tables.  &#13;
Findings: The study comprised a sample size of 376 &#13;
individuals, &#13;
constituting &#13;
96.18% of willing &#13;
respondents who agreed to participate in 1interviews. &#13;
Seventeen unresponsive records were excluded from &#13;
the analysis. A Normality 1Test was conducted to &#13;
assess whether the study sample was drawn from a &#13;
population with a normal distribution. Under the 1null &#13;
1hypothesis, no significant difference was found &#13;
between the sample and the population it represented. &#13;
Consequently, there was substantial evidence to reject &#13;
the 1null 1hypothesis and accept the 1alternative &#13;
hypothesis (p-value=0.000 CI=95%). Moreover, the &#13;
findings revealed that 82.30% voluntarily enrolled in &#13;
the 1Text 1for 1Adherence (T4A) 1mobile 1app, 70.71% &#13;
signed the consent form, and 6.07% indicated that &#13;
1consent was implied. &#13;
Unique Contribution to Theory, Practice and &#13;
Policy: This study extends 1Technology readiness &#13;
theory studies to mhealth field where it is beginning to &#13;
gain traction. It also indicates the significance of &#13;
individuals willingly participating in mHealth &#13;
interventions upon enrollment. Voluntary participation &#13;
is an imperative condition of any research undertaking. &#13;
This study's results additionally confirmed that &#13;
mHealth interventions enhance the well-being of &#13;
individuals managing chronic illnesses. This study is &#13;
likely to inform policy changes and or amendments in &#13;
the &#13;
mhealth space in many jurisdictions. An &#13;
intervention 1such 1as 1Text for1Adherence (1T4A) may &#13;
encourage 1the 1government 1to support system &#13;
developers. It can also take over the project as a public &#13;
health investment instead of leaving it to private sector &#13;
or non-governmental organizations. Study further &#13;
extends the body of knowledge in use of mhealth &#13;
interventions. &#13;
Keywords: Voluntary Participation,1Persons 1Living &#13;
with 1HIV (PLHIV), 1Text 1for Adherence (1T4A).  &#13;
©2023 by the Authors. This Article is an open access &#13;
article distributed under the terms and conditions of &#13;
the Creative Commons Attribution (CC BY) license &#13;
(http://creativecommons.org/licenses/by/4.0/
PhD Research Publication
</summary>
<dc:date>2025-11-28T00:00:00Z</dc:date>
</entry>
<entry>
<title>Contribution of Climate Variability and Land Use  Change to Streamflow Variations in Thika Dam  Watershed</title>
<link href="http://localhost/xmlui/handle/123456789/6836" rel="alternate"/>
<author>
<name>Njoroge, James M.</name>
</author>
<id>http://localhost/xmlui/handle/123456789/6836</id>
<updated>2025-11-28T11:56:36Z</updated>
<published>2025-11-28T00:00:00Z</published>
<summary type="text">Contribution of Climate Variability and Land Use  Change to Streamflow Variations in Thika Dam  Watershed
Njoroge, James M.
Climate variability and human activities are the main causes of change in streamflow. Decoupling the respective &#13;
contribution of climate variability and human activities in changes in streamflow is an important activity of watershed &#13;
management. It helps in designing appropriate mitigation measures against the change in streamflow.  The main objective of &#13;
this study was to assess and quantify the change in streamflow respectively caused by climate variability and land use change &#13;
in Thika River watershed, Kenya. Mann-Kendall analysis was used to assess streamflow data trend while sequential Mann&#13;
Kendall analysis was used to establish the breakpoint. The Wang-Tang model was applied to separate the effects of human&#13;
induced land use changes and climate variations on the streamflow. Drought analysis was done to investigate the intra-annual &#13;
effect and transition of these changes to streamflow change. Standard Precipitation-Evapotranspiration Index (SPEI), &#13;
representing Meteorological Drought (MD), and the Standardized Runoff Index (SRI), representing the Hydrological Drought &#13;
(HD), were used to study climate and streamflow variability respectively. It was found that average annual Thika River &#13;
streamflow had decreased significantly in the last 50 years, with a breakpoint in 2003. Climate variability was identified as &#13;
responsible for 46% of this streamflow change, while the remaining 54% was attributed to land use changes. Furthermore, &#13;
drought analysis indicated a post-2003 increase in both types of droughts, affirming reduced rainfall and streamflow. However, &#13;
HDs outnumbered MDs, highlighting the compounding impact of land use change alongside climate variability on streamflow &#13;
reduction. This comprehensive approach combining the Budyko methodology with drought analysis offers valuable insights &#13;
into the intra-annual dynamics and transitions of climate variability and land use change effects on streamflow. The study &#13;
recommends the integration of interventions targeting proper land use and climate-resilient water management for informed &#13;
decision-making in watershed planning and management, underscoring their importance in addressing evolving hydrological &#13;
challenges.
MSc Research Publication
</summary>
<dc:date>2025-11-28T00:00:00Z</dc:date>
</entry>
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