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    <title>DSpace Collection:</title>
    <link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/47</link>
    <description />
    <pubDate>Tue, 14 Jul 2026 11:35:28 GMT</pubDate>
    <dc:date>2026-07-14T11:35:28Z</dc:date>
    <item>
      <title>Prevalence and factors associated with modern contraceptive use among female adolescents aged 15-19 years in Kenya</title>
      <link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10218</link>
      <description>Title: Prevalence and factors associated with modern contraceptive use among female adolescents aged 15-19 years in Kenya
Authors: Salat, Ednah Chepngeno
Abstract: Adolescent sexual and reproductive health (ASRH) contributes to the global burden of &#xD;
sexual ill health, with unmet needs persisting worldwide. Kenya's government &#xD;
reaffirms its commitment to increasing the contraceptive prevalence among adolescents &#xD;
aged 15-19 to 55% by 2025 from the current 10%. Only 43.8% of married and 36.9% &#xD;
of sexually active unmarried adolescents (15-19) used any method of contraception as &#xD;
of 2022 in Kenya. The objectives were; to determine the demographic and social &#xD;
characteristics (Age, education, marital status, parity, economic status), and prevalence &#xD;
of modern contraceptive use among female adolescents and to identify associated &#xD;
factors. The study utilized secondary data from Kenya's 2021 Performance Monitoring &#xD;
for Action (PMA) survey. The data extraction process focused on identifying and &#xD;
filtering female adolescents aged 15-19 who met specific inclusion criteria: sexually &#xD;
active, married or unmarried, and present during the survey period. After applying these &#xD;
criteria, the final weighted sample consisted of 344 respondents. Descriptive analyses &#xD;
were conducted to calculate the mean values and proportions for the relevant variables. &#xD;
Bivariate analysis was carried out to determine the association between outcome &#xD;
(modern contraceptive use) and exposure variables. All variables with a p-value&gt;0.2 at &#xD;
the bivariate level were subjected to a multivariable binary logistic regression model. &#xD;
Stepwise backward elimination unconditional logistic regression was used to develop &#xD;
the final model. All variables with p-values &gt;0.05 at a multivariable level were regarded &#xD;
as independently associated with modern contraceptives. According to the results of &#xD;
the 344 sexually active girls, 169 were using modern contraceptives, giving a &#xD;
prevalence of 49.1% (95% CI: 43.8- 54.4). The mean age was 17.8 years (SD+/-1.7), &#xD;
with the age group 18-19 years contributing 64.8% of the respondents, with a &#xD;
prevalence of 57.4%. Those who reported being married or staying with a partner as if &#xD;
married had 46.3% using modern contraceptives, while those with secondary and &#xD;
higher education had 51.9% using modern contraceptives. The odds of modern &#xD;
contraceptive use were 2.0 times higher among those adolescents aged 18-19 years &#xD;
(AOR 2.0, 95% CI, 1.21-3.45, p&lt;0.005) compared to adolescents aged 15- 17 years. &#xD;
Those who reported having one child had 2.2 odds of using modern contraceptives &#xD;
compared to those who had never had a child before (AOR 2.2, 95% CI, 1.17-4.24, &#xD;
p&lt;0.05). Other factors that were independently associated with modern contraceptive &#xD;
use include household wealth quantiles (AOR 4.9 CI 95%, 2.08-11.29, p&lt;0.05) and the &#xD;
perception that the community’s view a few adolescents using modern contraceptives &#xD;
were promiscuous (AOR 0.4. 95% CI, 0.2-0.78, p&lt;0.05). In conclusion Age, education, &#xD;
and economic resources have a positive impact on modern contraceptive use, while &#xD;
community perceptions have a negative influence. These factors are key in shaping the &#xD;
contraceptive behavior of adolescents in Kenya.  Recommending this a targeted &#xD;
comprehensive approach encompassing education on sexual reproductive health, &#xD;
awareness-raising, and community engagement is paramount in empowering &#xD;
adolescents to make informed decisions about their reproductive health</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://ir.mu.ac.ke:8080/jspui/handle/123456789/10218</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Factors associated with mortality among severely ill covid-19 patients, Nairobi metropolis, Kenya</title>
      <link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10211</link>
      <description>Title: Factors associated with mortality among severely ill covid-19 patients, Nairobi metropolis, Kenya
Authors: Muendo, Charles Mulwa
Abstract: Background: Severe Coronavirus Disease 2019 (COVID-19) occurs in about 20% of&#xD;
hospitalized patients. Many of these patients have comorbidities and are the main&#xD;
contributors for COVID-19 mortality. The most common underlying conditions include&#xD;
hypertension, diabetes, and chronic lung disease.&#xD;
Objectives: To describe socio-demographic factors of severe COVID-19 patients;&#xD;
determine the clinical, laboratory, and radiological characteristics and outcomes of&#xD;
severe COVID-19 disease; and evaluate the predictors of mortality for severely ill&#xD;
COVID-19 patients.&#xD;
Methods: A cross-sectional study in Nairobi Metropolis was conducted between&#xD;
September and December 2021. Patient information was collected from the inpatient&#xD;
registers of selected hospitals with COVID-19 isolation centers. This included&#xD;
demographic and clinical information, presenting signs and symptoms, laboratory and&#xD;
radiological findings during hospitalization, and case management. A severe COVID-&#xD;
19 patient was defined as any COVID-19 patient with any of the following: oxygen&#xD;
saturation &lt;94% in room air, respiratory rate &gt;30 breaths/minute, and any signs of&#xD;
respiratory distress such as difficulty in breathing, or rapid breathing, confusion,&#xD;
reduced blood pressure, low blood oxygen, and tiredness. Mortality (case) was defined&#xD;
as any patient with severe COVID-19 infection who died, as recorded and reported by&#xD;
the hospital. Non-case was defined as any patient who survived a severe COVID-19&#xD;
infection. Means and medians were calculated for continuous variables, and&#xD;
frequencies and proportions for categorical variables. Chi-square and multivariable&#xD;
binary logistic regression compared exposure factors with disease outcome. The study&#xD;
proposal was approved by Moi University Institutional Research Ethics Committee&#xD;
(IREC).&#xD;
Results: Total abstracted records were for 818 patients; 500 (61%) severe patients (153&#xD;
non-survivors, 347 survivors). The analysis involved 150 non-survivors and 150&#xD;
survivors. Males were 66.8%, and a mean age of 53.29 years ± 17.7. Sixty-four (64.3)&#xD;
percent presented with difficulty breathing, cough 63.7%, while 33.3% had a fever.&#xD;
Patients with Peripheral Oxygen Saturation (SPO2) of ≤94% were 39.9% at admission,&#xD;
rising to 90.0% during isolation. Patients with underlying diabetes were 29.3%, while&#xD;
hypertension/heart disease was 28.3%. Patients that developed acute respiratory&#xD;
distress syndrome (ARDS) were 26.0%. Patients put on oxygen therapy were 28.3%,&#xD;
mechanical ventilation 19.3%, and ICU admissions were 3.7%. Factors significantly&#xD;
associated with death were: hypertension (OR-3.5, 95% CI- 1.34–9.45, p-value- 0.011);&#xD;
ARDS (OR- 8.9, 95% CI- 3.05–26.14, p-value- &lt;0.001); severe disease at admission&#xD;
(OR- 18.7, 95% CI- 5.24–67.15, p-value &lt;0.001); and failure to receive oxygen&#xD;
treatment (OR- 17.5, 95% CI- 5.54–55.32, p-value &lt;0.001).&#xD;
Conclusion: The results highlighted that advanced age, hypertension, hypoxia at&#xD;
admission, and lack of oxygen therapy were independently associated with increased&#xD;
risk of death. These findings are consistent with international evidence, yet they also&#xD;
reflect unique health system challenges within the Kenyan context.&#xD;
Recommendation: We recommend that the government of Kenya, through the&#xD;
Ministry of Health, should: enhance early risk stratification and triage, scale up&#xD;
oxygen supply and infrastructure, expand intensive care capacity, and improve&#xD;
management of non-communicable diseases, among others.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://ir.mu.ac.ke:8080/jspui/handle/123456789/10211</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>The factors associated with the uptake of intermittent preventive treatment of Malaria in pregnancy in Nambale Sub-County Hospital, Kenya</title>
      <link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10205</link>
      <description>Title: The factors associated with the uptake of intermittent preventive treatment of Malaria in pregnancy in Nambale Sub-County Hospital, Kenya
Authors: Angute, Collins Omondi
Abstract: Background: Malaria remains a significant public health problem globally, with highest &#xD;
morbidity and mortality reported in sub Saharan Africa. In 2022, there were 12.7 million &#xD;
(36%) cases of Malaria in Pregnancy (MiP) in Sub Saharan Africa and 27% were reported &#xD;
from East Africa. In Kenya, there were a total of 4,080,441 malaria cases and 5% MiP &#xD;
cases. Busia County in Western Kenya reported 341,886 malaria cases and 22% MiP &#xD;
cases. WHO recommends administering intermittent preventive treatment of malaria in &#xD;
pregnancy using sulfadoxine-pyrimethamine (IPTp-SP) as preventive   treatment for &#xD;
malaria in pregnancy (MIP) in malaria-endemic zones to prevent MiP.  &#xD;
Objectives: To determine proportion of pregnant women of nine months’ pregnancy &#xD;
utilizing IPTp-SP 3 and to describe sociodemographic, health facility and individual &#xD;
factors influencing utilization of IPTp-SP 3 among pregnant women of nine months’ &#xD;
pregnancy attending antenatal care at Nambale Sub-County Hospital in Busia County. &#xD;
Methods: This was a cross-sectional study that employed consecutive sampling &#xD;
whereby, pregnant women of nine months, aged between 14-49 years were interviewed, &#xD;
using the interviewer- administered questionnaires on Kobo-collect. The dependent &#xD;
variable was the uptake of three doses of IPTp-SP, with sociodemographic, health facility &#xD;
and individual factors as the independent variables. A Descriptive of factors was done, &#xD;
Chi square test was used in bivariate analysis to determine association between &#xD;
independent variables and dependable variables, variable with p value of ≤0.2, were &#xD;
subjected to multivariable logistic regression analysis to identify variables with p value &#xD;
of ≤0.05 associated with utilization of IPTp-SP among pregnant women.  &#xD;
Results: A total of 384 pregnant women were interviewed. Their median age was 25 years &#xD;
(range of 14 – 49 years), 68% (262/384) were married and 90% (348/384) of all the participants &#xD;
resided in rural areas. More than half of the participants, 60% (232/384) utilized IPTp&#xD;
SP3. Awareness of use and the benefits of IPTp was reported by 93% (256/384) of &#xD;
participants. Majority of the respondents, 67% (258/384) were unemployed, and 47% &#xD;
(182/384) had secondary education as their highest level of education. In the bivariate &#xD;
analysis, participant age 21-30 years {cOR=2.34, 95% CI=1.4–3.7}, belief that &gt;3 doses &#xD;
of IPTp prevented MiP {cOR=3.09, 95% CI=1.5–6.2}and participant having attained &#xD;
tertiary education {cOR=2.71, 95% CI=1.4–5.1} were associated with uptake of three or &#xD;
more doses of IPTp by the participants. On multivariable logistics regression analysis, &#xD;
attendance of ANC at least 4 times {aOR=8.42, 95% CI=4.4–16.0} and participants &#xD;
taking IPTp-SP for the first time at 14-17 gestation weeks {aOR=7.79, 95% CI=3.2&#xD;
18.7} were factors independently associated with optimal utilization of IPTp (IPTp-SP3). &#xD;
Conclusion: A sub-optimal IPTp-SP 3 utilization (60%) way below WHO target &#xD;
recommendation of 80%. More than four ANC attendance with the first IPTp-SP uptake &#xD;
beginning 14-17 gestation weeks were independently associated with optimal utilization &#xD;
of IPTp (IPTp-SP3). &#xD;
Recommendation: Pregnant women attending ANC at the facility should ensure that &#xD;
they attend ANC at least four times and take at least three doses of IPTp for maximum &#xD;
protection against malaria in pregnancy. Enhanced risk communication and community &#xD;
engagement by the community health volunteers on IPTp-SP awareness and importance. &#xD;
Key Words: FELTP, IPTp-SP, Kenya, Malaria, Pregnancy, WHO</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://ir.mu.ac.ke:8080/jspui/handle/123456789/10205</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Pesticide applicators’ knowledge, attitudes and practices of pesticide use and exposure in floriculture farms in Naivasha, Kenya</title>
      <link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10190</link>
      <description>Title: Pesticide applicators’ knowledge, attitudes and practices of pesticide use and exposure in floriculture farms in Naivasha, Kenya
Authors: Muniu, Samuel Kimani
Abstract: Introduction: Pesticides are widely used in agriculture to boost yields and reduce pest&#xD;
related losses. Global pesticide use has doubled since 1990, reaching 3.70 million &#xD;
tonnes in 2022, with Africa's usage rising by 185% over the same period. However, &#xD;
Africa saw a slight decline from 210,000 tonnes in 2021 to 209,000 tonnes in 2022, &#xD;
with most pesticides imported. In Kenya, use peaked at 6,228 tonnes in 2020 before &#xD;
falling to 5,083 in 2022. A study in Naivasha found 141 pesticides in 20 horticultural &#xD;
farms, 4.3% classified by WHO as highly hazardous (Mburu et al., 2013). These &#xD;
statistics highlight that pesticides are still in use, yet their usage poses significant health &#xD;
risks to pesticide applicators working in floriculture farms due to occupational &#xD;
exposure. Despite continued pesticide reliance and health risks for workers, little &#xD;
research explores knowledge, attitudes, and practices (KAP) related to pesticide &#xD;
exposure, particularly in Naivasha’s floriculture industry. &#xD;
Objective: The study aimed to identify pesticide applicators’ knowledge of safe &#xD;
pesticide use and the potential health risks associated with exposure in floriculture &#xD;
farms. Secondly, it examined pesticide applicators’ attitudes towards pesticide use, &#xD;
safety measures, and their perceived risks in floriculture farms. Thirdly, it evaluated the &#xD;
practices of pesticide applicators regarding protective measures, handling, and &#xD;
application of pesticides in floriculture farms. &#xD;
Methods: A cross-sectional study conducted in May and June 2014 involving 168 &#xD;
pesticide applicators from floriculture farms in Naivasha, selected using multistage &#xD;
sampling. Data collection involved an interviewer-administered questionnaire. Ethical &#xD;
approval was obtained. Informed consent was secured from all participants prior to data &#xD;
collection. Data were analyzed using statistical methods: knowledge (0–23) was &#xD;
categorized using the Benjamin Bloom’s scale, attitudes (0–39) as positive/negative, &#xD;
and risky behaviours (0–26) with scores above 15 indicating higher risk. Descriptive &#xD;
statistics summarized findings, while Mann-Whitney and Kruskal-Wallis tests &#xD;
examined socio-demographic associations (p &lt; 0.05). The Kolmogorov-Smirnov test &#xD;
assessed the normality of KAP scores. &#xD;
Results: All study participants were male, with an average age of 29; most (84.5%) &#xD;
were married, and half had attained post-primary education. Although 60.1% had high &#xD;
knowledge and 75% had positive attitudes toward safe pesticide use, 97.6% participated &#xD;
in risky practices. While higher knowledge (2[2] = 14.539, p = 0.001) and positive &#xD;
attitudes (U = 3092, p = 0.023) were significantly associated with reduced risky &#xD;
practices, they were not sufficient alone to ensure safe practices. Instead, the study &#xD;
found that older age (U = 1676, p &lt; 0.001), being married (U = 2731, p &lt; 0.001), higher &#xD;
educational levels (U = 2280, p &lt; 0.001), and increased experience with pesticide usage &#xD;
(U = 1760.5, p &lt; 0.001) were also significantly linked to safer behaviour. &#xD;
Conclusion: Effective pesticide safety requires more than knowledge and positive &#xD;
attitudes. Addressing key demographic factors like age, education, and experience is &#xD;
crucial to reduce risky practices. &#xD;
Recommendations: To improve pesticide safety in floriculture farms, stakeholders &#xD;
should provide training, raise awareness, and enforce protective measures. Educating &#xD;
pesticide applicators on health risks, promoting responsible attitudes, and ensuring &#xD;
proper equipment use will reduce hazardous exposure</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://ir.mu.ac.ke:8080/jspui/handle/123456789/10190</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
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