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    <title>DSpace Collection:</title>
    <link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/47</link>
    <description />
    <pubDate>Tue, 07 Apr 2026 20:04:18 GMT</pubDate>
    <dc:date>2026-04-07T20:04:18Z</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>Title: Patient delay and associated factors among patients diagnosed with TB in Kajiado County
Authors: Supeyo, Moses Melita
Abstract: Background: TB is among the leading causes of death from a single infectious agent&#xD;
worldwide. Globally, TB cases increased to 10.6 million in 2022, from 10.0 million in&#xD;
2020. Africa had 2.5 million TB infections in 2016, making it the continent with the&#xD;
highest new cases globally. There was a 16.7 percent rise in DSTB cases in 2021.&#xD;
Kajiado was among nine counties that had reported high rise in case notification in&#xD;
2022.&#xD;
Objective: Determine patient delay and associated factors among patients diagnosed&#xD;
with TB in Kajiado County.&#xD;
Methods: A cross-sectional research was carried out at five hospitals within Kajiado&#xD;
County from May to August 2021 on 354 TB patients who were 15 years of age or&#xD;
older. Data was collected using a pre-tested, semi-structured questionnaire that was&#xD;
entered into an Excel database. We cleaned the data in MS Excel and ran the analyses&#xD;
in Epi Info. Data were summarised for discrete variables using basic proportions and&#xD;
percentages, and for continuous variables using mean and standard deviations. We&#xD;
used the median time as our cut-off for patient delay calculations. A patient is&#xD;
considered to have delayed if they seek medical attention at a health facility 28 days&#xD;
(median time) or more after the onset of tuberculosis symptoms. Patients' delay was&#xD;
determined using logistic regression. Adjusted odds ratios were calculated with a 95%&#xD;
confidence interval, and we considered factors statistically significant in multivariate&#xD;
when p-values were less than or equal to 0.05.&#xD;
Results: A total of 354 (100%) patients with Tuberculosis participated in the study.&#xD;
The median time of the patient delay was 28 (+20) days. 46.3% of the study&#xD;
participants delayed to seek diagnosis. Lack of knowledge and lack of accessibility&#xD;
were the factors significantly associated with patient delay.&#xD;
Conclusion: The findings suggest that delay in seeking Tuberculosis diagnosis&#xD;
remains a challenge as a significant proportion of patients delayed in seeking&#xD;
diagnosis. Lack of knowledge and lack of accessibility to diagnostic sites were&#xD;
significantly associated with Tuberculosis patient delay. These factors for delay can&#xD;
be the subject of future interventions to reduce delay in diagnosis among patients with&#xD;
tuberculosis.&#xD;
Recommendations: The findings highlight the importance of relevant stakeholders to&#xD;
emphasize health education through community sensitization to ensure everyone is&#xD;
reached. The County Department of Health should strengthen referral and linkages&#xD;
between the community and health facilities. Enhance access through mobile outreach&#xD;
services. Further interventions that will improve knowledge and accessibility to TB&#xD;
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>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
Authors: Gudu, Edwin
Abstract: Background: Micronutrients are chemical elements required in small quantities that&#xD;
are vital for normal growth and development. Micronutrient deficiency affects at least&#xD;
2 billion people globally. In Kenya, Zinc (83%) and Iron deficiencies (35%) are most&#xD;
prevalent. Pregnant, lactating women and children less than 5 years of age are most&#xD;
affected.&#xD;
Objectives: This study aims to estimate prevalence and determine factors associated&#xD;
with zinc deficiency, inadequate dietary zinc intake, iron deficiency, and iron&#xD;
deficiency anaemia among children 6 – 59 months treated at Moi Teaching and&#xD;
Referral Hospital (MTRH). It also describes the infant and young child feeding&#xD;
practices associated with these deficiencies.&#xD;
Methods: This was a cross sectional study with a sample size of 354 participants&#xD;
recruited using systematic random sampling. Sociodemographic, clinical, laboratory&#xD;
and anthropometric data was collected. The laboratory tests included: serum iron,&#xD;
ferritin, total iron binding capacity and complete blood counts. We used 24-hour&#xD;
dietary recall to assess for adequacy of dietary zinc intake. Dietary diversity scores&#xD;
were assessed using the WHO food groups. Levels of stunting were used as a&#xD;
population indicator for zinc deficiency. Odds ratios were calculated at 95%&#xD;
confidence interval and p values &lt; 0.05 were considered statistically significant.&#xD;
Univariate, bivariate and multivariate analyses were carried out on the categorical&#xD;
variables.&#xD;
Results: The median age of the study participants was 31 months (IQR 15, 46) with a&#xD;
male majority (61%). The prevalence of inadequate zinc intake was 60% with a&#xD;
median age of 20 months (IQR 11, 48). Fifty percent (50%) of the study participants&#xD;
did not meet the minimum dietary diversity (MDD) score of at least four WHO food&#xD;
groups. Inadequate MDD was associated with inadequate dietary zinc intake (OR 3.1;&#xD;
CI 2.0 – 4.8; p&lt;0.001). Twenty-six percent (26%) of the participants were stunted.&#xD;
Factors associated with increased odds of stunting included: Inadequate zinc intake&#xD;
(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&#xD;
prior deworming (OR 3.7; CI 2.2 – 6.1; p&lt;0.001). There prevalence of iron deficiency&#xD;
was 77% (based on transferrin saturation levels) and 63% (based on serum ferritin&#xD;
levels). The factors associated with decreased the odds of iron deficiency (ID)&#xD;
included: Adequate MDD (OR 0.9; CI 0.6 – 1.9; p = 0.83) and deworming (OR 0.2;&#xD;
CI 0.1 – 0.5; p&lt;0.001), exclusive breastfeeding for 6 months (OR 0.6; CI 0.1 – 2.7; p=&#xD;
0.47). Factors associated with increased odds of iron deficiency included: pre-term&#xD;
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),&#xD;
microcytosis (OR 1.4; CI 0.8 – 2.3; p = 0.23). The median age for iron deficiency&#xD;
anaemia (IDA) was 23 months (IQR 11, 43). Microcytosis (OR 2.5; CI 1.6 – 4.0;&#xD;
p&lt;0.001) and hypochromia (OR 2.8; CI 1.5 – 5.5; p = 0.001) were associated with&#xD;
IDA.&#xD;
Conclusions: Inadequate dietary zinc intake is still common. Iron deficiency and iron&#xD;
deficiency anaemia are still highly prevalent diseases of public health importance.&#xD;
Concurrent iron and zinc deficiency are common. Adequate minimum dietary&#xD;
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>Title: Patient delay and associated factors among patients diagnosed with TB in Kajiado County
Authors: Supeyo, Moses Melita
Abstract: Background: TB is among the leading causes of death from a single infectious agent&#xD;
worldwide. Globally, TB cases increased to 10.6 million in 2022, from 10.0 million in&#xD;
2020. Africa had 2.5 million TB infections in 2016, making it the continent with the&#xD;
highest new cases globally. There was a 16.7 percent rise in DSTB cases in 2021.&#xD;
Kajiado was among nine counties that had reported high rise in case notification in&#xD;
2022.&#xD;
Objective: Determine patient delay and associated factors among patients diagnosed&#xD;
with TB in Kajiado County.&#xD;
Methods: A cross-sectional research was carried out at five hospitals within Kajiado&#xD;
County from May to August 2021 on 354 TB patients who were 15 years of age or&#xD;
older. Data was collected using a pre-tested, semi-structured questionnaire that was&#xD;
entered into an Excel database. We cleaned the data in MS Excel and ran the analyses&#xD;
in Epi Info. Data were summarised for discrete variables using basic proportions and&#xD;
percentages, and for continuous variables using mean and standard deviations. We&#xD;
used the median time as our cut-off for patient delay calculations. A patient is&#xD;
considered to have delayed if they seek medical attention at a health facility 28 days&#xD;
(median time) or more after the onset of tuberculosis symptoms. Patients' delay was&#xD;
determined using logistic regression. Adjusted odds ratios were calculated with a 95%&#xD;
confidence interval, and we considered factors statistically significant in multivariate&#xD;
when p-values were less than or equal to 0.05.&#xD;
Results: A total of 354 (100%) patients with Tuberculosis participated in the study.&#xD;
The median time of the patient delay was 28 (+20) days. 46.3% of the study&#xD;
participants delayed to seek diagnosis. Lack of knowledge and lack of accessibility&#xD;
were the factors significantly associated with patient delay.&#xD;
Conclusion: The findings suggest that delay in seeking Tuberculosis diagnosis&#xD;
remains a challenge as a significant proportion of patients delayed in seeking&#xD;
diagnosis. Lack of knowledge and lack of accessibility to diagnostic sites were&#xD;
significantly associated with Tuberculosis patient delay. These factors for delay can&#xD;
be the subject of future interventions to reduce delay in diagnosis among patients with&#xD;
tuberculosis.&#xD;
Recommendations: The findings highlight the importance of relevant stakeholders to&#xD;
emphasize health education through community sensitization to ensure everyone is&#xD;
reached. The County Department of Health should strengthen referral and linkages&#xD;
between the community and health facilities. Enhance access through mobile outreach&#xD;
services. Further interventions that will improve knowledge and accessibility to TB&#xD;
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>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
Authors: Gudu, Edwin
Abstract: Background: Micronutrients are chemical elements required in small quantities that&#xD;
are vital for normal growth and development. Micronutrient deficiency affects at least&#xD;
2 billion people globally. In Kenya, Zinc (83%) and Iron deficiencies (35%) are most&#xD;
prevalent. Pregnant, lactating women and children less than 5 years of age are most&#xD;
affected.&#xD;
Objectives: This study aims to estimate prevalence and determine factors associated&#xD;
with zinc deficiency, inadequate dietary zinc intake, iron deficiency, and iron&#xD;
deficiency anaemia among children 6 – 59 months treated at Moi Teaching and&#xD;
Referral Hospital (MTRH). It also describes the infant and young child feeding&#xD;
practices associated with these deficiencies.&#xD;
Methods: This was a cross sectional study with a sample size of 354 participants&#xD;
recruited using systematic random sampling. Sociodemographic, clinical, laboratory&#xD;
and anthropometric data was collected. The laboratory tests included: serum iron,&#xD;
ferritin, total iron binding capacity and complete blood counts. We used 24-hour&#xD;
dietary recall to assess for adequacy of dietary zinc intake. Dietary diversity scores&#xD;
were assessed using the WHO food groups. Levels of stunting were used as a&#xD;
population indicator for zinc deficiency. Odds ratios were calculated at 95%&#xD;
confidence interval and p values &lt; 0.05 were considered statistically significant.&#xD;
Univariate, bivariate and multivariate analyses were carried out on the categorical&#xD;
variables.&#xD;
Results: The median age of the study participants was 31 months (IQR 15, 46) with a&#xD;
male majority (61%). The prevalence of inadequate zinc intake was 60% with a&#xD;
median age of 20 months (IQR 11, 48). Fifty percent (50%) of the study participants&#xD;
did not meet the minimum dietary diversity (MDD) score of at least four WHO food&#xD;
groups. Inadequate MDD was associated with inadequate dietary zinc intake (OR 3.1;&#xD;
CI 2.0 – 4.8; p&lt;0.001). Twenty-six percent (26%) of the participants were stunted.&#xD;
Factors associated with increased odds of stunting included: Inadequate zinc intake&#xD;
(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&#xD;
prior deworming (OR 3.7; CI 2.2 – 6.1; p&lt;0.001). There prevalence of iron deficiency&#xD;
was 77% (based on transferrin saturation levels) and 63% (based on serum ferritin&#xD;
levels). The factors associated with decreased the odds of iron deficiency (ID)&#xD;
included: Adequate MDD (OR 0.9; CI 0.6 – 1.9; p = 0.83) and deworming (OR 0.2;&#xD;
CI 0.1 – 0.5; p&lt;0.001), exclusive breastfeeding for 6 months (OR 0.6; CI 0.1 – 2.7; p=&#xD;
0.47). Factors associated with increased odds of iron deficiency included: pre-term&#xD;
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),&#xD;
microcytosis (OR 1.4; CI 0.8 – 2.3; p = 0.23). The median age for iron deficiency&#xD;
anaemia (IDA) was 23 months (IQR 11, 43). Microcytosis (OR 2.5; CI 1.6 – 4.0;&#xD;
p&lt;0.001) and hypochromia (OR 2.8; CI 1.5 – 5.5; p = 0.001) were associated with&#xD;
IDA.&#xD;
Conclusions: Inadequate dietary zinc intake is still common. Iron deficiency and iron&#xD;
deficiency anaemia are still highly prevalent diseases of public health importance.&#xD;
Concurrent iron and zinc deficiency are common. Adequate minimum dietary&#xD;
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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