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<title>School of Public Health</title>
<link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/47</link>
<description/>
<pubDate>Mon, 20 Apr 2026 14:45:45 GMT</pubDate>
<dc:date>2026-04-20T14:45:45Z</dc:date>
<item>
<title>Patient delay and associated factors among patients diagnosed with TB in Kajiado County</title>
<link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10060</link>
<description>Patient delay and associated factors among patients diagnosed with TB in Kajiado County
Supeyo, Moses Melita
Background: TB is among the leading causes of death from a single infectious agent&#13;
worldwide. Globally, TB cases increased to 10.6 million in 2022, from 10.0 million in&#13;
2020. Africa had 2.5 million TB infections in 2016, making it the continent with the&#13;
highest new cases globally. There was a 16.7 percent rise in DSTB cases in 2021.&#13;
Kajiado was among nine counties that had reported high rise in case notification in&#13;
2022.&#13;
Objective: Determine patient delay and associated factors among patients diagnosed&#13;
with TB in Kajiado County.&#13;
Methods: A cross-sectional research was carried out at five hospitals within Kajiado&#13;
County from May to August 2021 on 354 TB patients who were 15 years of age or&#13;
older. Data was collected using a pre-tested, semi-structured questionnaire that was&#13;
entered into an Excel database. We cleaned the data in MS Excel and ran the analyses&#13;
in Epi Info. Data were summarised for discrete variables using basic proportions and&#13;
percentages, and for continuous variables using mean and standard deviations. We&#13;
used the median time as our cut-off for patient delay calculations. A patient is&#13;
considered to have delayed if they seek medical attention at a health facility 28 days&#13;
(median time) or more after the onset of tuberculosis symptoms. Patients' delay was&#13;
determined using logistic regression. Adjusted odds ratios were calculated with a 95%&#13;
confidence interval, and we considered factors statistically significant in multivariate&#13;
when p-values were less than or equal to 0.05.&#13;
Results: A total of 354 (100%) patients with Tuberculosis participated in the study.&#13;
The median time of the patient delay was 28 (+20) days. 46.3% of the study&#13;
participants delayed to seek diagnosis. Lack of knowledge and lack of accessibility&#13;
were the factors significantly associated with patient delay.&#13;
Conclusion: The findings suggest that delay in seeking Tuberculosis diagnosis&#13;
remains a challenge as a significant proportion of patients delayed in seeking&#13;
diagnosis. Lack of knowledge and lack of accessibility to diagnostic sites were&#13;
significantly associated with Tuberculosis patient delay. These factors for delay can&#13;
be the subject of future interventions to reduce delay in diagnosis among patients with&#13;
tuberculosis.&#13;
Recommendations: The findings highlight the importance of relevant stakeholders to&#13;
emphasize health education through community sensitization to ensure everyone is&#13;
reached. The County Department of Health should strengthen referral and linkages&#13;
between the community and health facilities. Enhance access through mobile outreach&#13;
services. Further interventions that will improve knowledge and accessibility to TB&#13;
care.
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.mu.ac.ke:8080/jspui/handle/123456789/10060</guid>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>Prevalence and factors associated with iron deficiency and inadequate dietary zinc intake among children aged 6 – 59 months at Moi Teaching and Referral Hospital, Eldoret- Kenya  Edwin Gudu</title>
<link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10059</link>
<description>Prevalence and factors associated with iron deficiency and inadequate dietary zinc intake among children aged 6 – 59 months at Moi Teaching and Referral Hospital, Eldoret- Kenya  Edwin Gudu
Gudu, Edwin
Background: Micronutrients are chemical elements required in small quantities that&#13;
are vital for normal growth and development. Micronutrient deficiency affects at least&#13;
2 billion people globally. In Kenya, Zinc (83%) and Iron deficiencies (35%) are most&#13;
prevalent. Pregnant, lactating women and children less than 5 years of age are most&#13;
affected.&#13;
Objectives: This study aims to estimate prevalence and determine factors associated&#13;
with zinc deficiency, inadequate dietary zinc intake, iron deficiency, and iron&#13;
deficiency anaemia among children 6 – 59 months treated at Moi Teaching and&#13;
Referral Hospital (MTRH). It also describes the infant and young child feeding&#13;
practices associated with these deficiencies.&#13;
Methods: This was a cross sectional study with a sample size of 354 participants&#13;
recruited using systematic random sampling. Sociodemographic, clinical, laboratory&#13;
and anthropometric data was collected. The laboratory tests included: serum iron,&#13;
ferritin, total iron binding capacity and complete blood counts. We used 24-hour&#13;
dietary recall to assess for adequacy of dietary zinc intake. Dietary diversity scores&#13;
were assessed using the WHO food groups. Levels of stunting were used as a&#13;
population indicator for zinc deficiency. Odds ratios were calculated at 95%&#13;
confidence interval and p values &lt; 0.05 were considered statistically significant.&#13;
Univariate, bivariate and multivariate analyses were carried out on the categorical&#13;
variables.&#13;
Results: The median age of the study participants was 31 months (IQR 15, 46) with a&#13;
male majority (61%). The prevalence of inadequate zinc intake was 60% with a&#13;
median age of 20 months (IQR 11, 48). Fifty percent (50%) of the study participants&#13;
did not meet the minimum dietary diversity (MDD) score of at least four WHO food&#13;
groups. Inadequate MDD was associated with inadequate dietary zinc intake (OR 3.1;&#13;
CI 2.0 – 4.8; p&lt;0.001). Twenty-six percent (26%) of the participants were stunted.&#13;
Factors associated with increased odds of stunting included: Inadequate zinc intake&#13;
(OR 1.5; CI 0.9 -2.6; p=0.09), Pre-term children (OR 3.1; CI 1.1 – 8.5; p=0.02), no&#13;
prior deworming (OR 3.7; CI 2.2 – 6.1; p&lt;0.001). There prevalence of iron deficiency&#13;
was 77% (based on transferrin saturation levels) and 63% (based on serum ferritin&#13;
levels). The factors associated with decreased the odds of iron deficiency (ID)&#13;
included: Adequate MDD (OR 0.9; CI 0.6 – 1.9; p = 0.83) and deworming (OR 0.2;&#13;
CI 0.1 – 0.5; p&lt;0.001), exclusive breastfeeding for 6 months (OR 0.6; CI 0.1 – 2.7; p=&#13;
0.47). Factors associated with increased odds of iron deficiency included: pre-term&#13;
birth (OR 3.7; CI 0.5 – 28.7; p=0.18), hypochromia (OR 3.8; CI 2.1 – 6.8; p&lt;0.001),&#13;
microcytosis (OR 1.4; CI 0.8 – 2.3; p = 0.23). The median age for iron deficiency&#13;
anaemia (IDA) was 23 months (IQR 11, 43). Microcytosis (OR 2.5; CI 1.6 – 4.0;&#13;
p&lt;0.001) and hypochromia (OR 2.8; CI 1.5 – 5.5; p = 0.001) were associated with&#13;
IDA.&#13;
Conclusions: Inadequate dietary zinc intake is still common. Iron deficiency and iron&#13;
deficiency anaemia are still highly prevalent diseases of public health importance.&#13;
Concurrent iron and zinc deficiency are common. Adequate minimum dietary&#13;
diversity is necessary for prevention of iron and zinc deficiency.
</description>
<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.mu.ac.ke:8080/jspui/handle/123456789/10059</guid>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>Patient delay and associated factors among patients diagnosed with TB in Kajiado County</title>
<link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10044</link>
<description>Patient delay and associated factors among patients diagnosed with TB in Kajiado County
Supeyo, Moses Melita
Background: TB is among the leading causes of death from a single infectious agent&#13;
worldwide. Globally, TB cases increased to 10.6 million in 2022, from 10.0 million in&#13;
2020. Africa had 2.5 million TB infections in 2016, making it the continent with the&#13;
highest new cases globally. There was a 16.7 percent rise in DSTB cases in 2021.&#13;
Kajiado was among nine counties that had reported high rise in case notification in&#13;
2022.&#13;
Objective: Determine patient delay and associated factors among patients diagnosed&#13;
with TB in Kajiado County.&#13;
Methods: A cross-sectional research was carried out at five hospitals within Kajiado&#13;
County from May to August 2021 on 354 TB patients who were 15 years of age or&#13;
older. Data was collected using a pre-tested, semi-structured questionnaire that was&#13;
entered into an Excel database. We cleaned the data in MS Excel and ran the analyses&#13;
in Epi Info. Data were summarised for discrete variables using basic proportions and&#13;
percentages, and for continuous variables using mean and standard deviations. We&#13;
used the median time as our cut-off for patient delay calculations. A patient is&#13;
considered to have delayed if they seek medical attention at a health facility 28 days&#13;
(median time) or more after the onset of tuberculosis symptoms. Patients' delay was&#13;
determined using logistic regression. Adjusted odds ratios were calculated with a 95%&#13;
confidence interval, and we considered factors statistically significant in multivariate&#13;
when p-values were less than or equal to 0.05.&#13;
Results: A total of 354 (100%) patients with Tuberculosis participated in the study.&#13;
The median time of the patient delay was 28 (+20) days. 46.3% of the study&#13;
participants delayed to seek diagnosis. Lack of knowledge and lack of accessibility&#13;
were the factors significantly associated with patient delay.&#13;
Conclusion: The findings suggest that delay in seeking Tuberculosis diagnosis&#13;
remains a challenge as a significant proportion of patients delayed in seeking&#13;
diagnosis. Lack of knowledge and lack of accessibility to diagnostic sites were&#13;
significantly associated with Tuberculosis patient delay. These factors for delay can&#13;
be the subject of future interventions to reduce delay in diagnosis among patients with&#13;
tuberculosis.&#13;
Recommendations: The findings highlight the importance of relevant stakeholders to&#13;
emphasize health education through community sensitization to ensure everyone is&#13;
reached. The County Department of Health should strengthen referral and linkages&#13;
between the community and health facilities. Enhance access through mobile outreach&#13;
services. Further interventions that will improve knowledge and accessibility to TB&#13;
care.
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.mu.ac.ke:8080/jspui/handle/123456789/10044</guid>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>Prevalence and factors associated with iron deficiency and inadequate dietary zinc intake among children aged 6 – 59 months at Moi Teaching and Referral Hospital, Eldoret- Kenya</title>
<link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10043</link>
<description>Prevalence and factors associated with iron deficiency and inadequate dietary zinc intake among children aged 6 – 59 months at Moi Teaching and Referral Hospital, Eldoret- Kenya
Gudu, Edwin
Background: Micronutrients are chemical elements required in small quantities that&#13;
are vital for normal growth and development. Micronutrient deficiency affects at least&#13;
2 billion people globally. In Kenya, Zinc (83%) and Iron deficiencies (35%) are most&#13;
prevalent. Pregnant, lactating women and children less than 5 years of age are most&#13;
affected.&#13;
Objectives: This study aims to estimate prevalence and determine factors associated&#13;
with zinc deficiency, inadequate dietary zinc intake, iron deficiency, and iron&#13;
deficiency anaemia among children 6 – 59 months treated at Moi Teaching and&#13;
Referral Hospital (MTRH). It also describes the infant and young child feeding&#13;
practices associated with these deficiencies.&#13;
Methods: This was a cross sectional study with a sample size of 354 participants&#13;
recruited using systematic random sampling. Sociodemographic, clinical, laboratory&#13;
and anthropometric data was collected. The laboratory tests included: serum iron,&#13;
ferritin, total iron binding capacity and complete blood counts. We used 24-hour&#13;
dietary recall to assess for adequacy of dietary zinc intake. Dietary diversity scores&#13;
were assessed using the WHO food groups. Levels of stunting were used as a&#13;
population indicator for zinc deficiency. Odds ratios were calculated at 95%&#13;
confidence interval and p values &lt; 0.05 were considered statistically significant.&#13;
Univariate, bivariate and multivariate analyses were carried out on the categorical&#13;
variables.&#13;
Results: The median age of the study participants was 31 months (IQR 15, 46) with a&#13;
male majority (61%). The prevalence of inadequate zinc intake was 60% with a&#13;
median age of 20 months (IQR 11, 48). Fifty percent (50%) of the study participants&#13;
did not meet the minimum dietary diversity (MDD) score of at least four WHO food&#13;
groups. Inadequate MDD was associated with inadequate dietary zinc intake (OR 3.1;&#13;
CI 2.0 – 4.8; p&lt;0.001). Twenty-six percent (26%) of the participants were stunted.&#13;
Factors associated with increased odds of stunting included: Inadequate zinc intake&#13;
(OR 1.5; CI 0.9 -2.6; p=0.09), Pre-term children (OR 3.1; CI 1.1 – 8.5; p=0.02), no&#13;
prior deworming (OR 3.7; CI 2.2 – 6.1; p&lt;0.001). There prevalence of iron deficiency&#13;
was 77% (based on transferrin saturation levels) and 63% (based on serum ferritin&#13;
levels). The factors associated with decreased the odds of iron deficiency (ID)&#13;
included: Adequate MDD (OR 0.9; CI 0.6 – 1.9; p = 0.83) and deworming (OR 0.2;&#13;
CI 0.1 – 0.5; p&lt;0.001), exclusive breastfeeding for 6 months (OR 0.6; CI 0.1 – 2.7; p=&#13;
0.47). Factors associated with increased odds of iron deficiency included: pre-term&#13;
birth (OR 3.7; CI 0.5 – 28.7; p=0.18), hypochromia (OR 3.8; CI 2.1 – 6.8; p&lt;0.001),&#13;
microcytosis (OR 1.4; CI 0.8 – 2.3; p = 0.23). The median age for iron deficiency&#13;
anaemia (IDA) was 23 months (IQR 11, 43). Microcytosis (OR 2.5; CI 1.6 – 4.0;&#13;
p&lt;0.001) and hypochromia (OR 2.8; CI 1.5 – 5.5; p = 0.001) were associated with&#13;
IDA.&#13;
Conclusions: Inadequate dietary zinc intake is still common. Iron deficiency and iron&#13;
deficiency anaemia are still highly prevalent diseases of public health importance.&#13;
Concurrent iron and zinc deficiency are common. Adequate minimum dietary&#13;
diversity is necessary for prevention of iron and zinc deficiency
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.mu.ac.ke:8080/jspui/handle/123456789/10043</guid>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</item>
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