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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://ir.mu.ac.ke:8080/jspui/handle/123456789/4496" />
  <subtitle />
  <id>http://ir.mu.ac.ke:8080/jspui/handle/123456789/4496</id>
  <updated>2026-07-14T03:33:20Z</updated>
  <dc:date>2026-07-14T03:33:20Z</dc:date>
  <entry>
    <title>Burden of Cardiac Disease among Patients Undergoing Chronic Haemodialysis at Moi Teaching and Referral Hospital, Eldoret, Kenya</title>
    <link rel="alternate" href="http://ir.mu.ac.ke:8080/jspui/handle/123456789/10231" />
    <author>
      <name>Hagembe, Mildred N</name>
    </author>
    <author>
      <name>Barasa, FA</name>
    </author>
    <author>
      <name>Njiru EW1, EW</name>
    </author>
    <id>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10231</id>
    <updated>2026-06-19T10:05:41Z</updated>
    <published>2018-09-01T00:00:00Z</published>
    <summary type="text">Title: Burden of Cardiac Disease among Patients Undergoing Chronic Haemodialysis at Moi Teaching and Referral Hospital, Eldoret, Kenya
Authors: Hagembe, Mildred N; Barasa, FA; Njiru EW1, EW
Abstract: Cardiovascular Disease (CVD) is the&#xD;
leading cause of mortality in patients with End Stage&#xD;
Renal Disease (ESRD) globally. Renal replacement&#xD;
therapy improves the quality of life of these patients&#xD;
but CVD remains a threat to their survival. Whereas&#xD;
atherosclerotic coronary artery disease is the leading&#xD;
culprit in high income countries, this has not been&#xD;
characterized in Kenya.&#xD;
Objective: To determine the prevalence and spectrum&#xD;
of cardiac disease in patients with ESRD undergoing&#xD;
haemodialysis at Moi Teaching and Referral Hospital&#xD;
(MTRH), a tertiary medical centre in Western Kenya.&#xD;
Methods: This was a cross sectional study conducted&#xD;
at MTRH renal unit. Consenting consecutive adults&#xD;
with ESRD undergoing chronic heamodialysis were&#xD;
enrolled into the study after obtaining ethical approval&#xD;
from the institution’s review board. Data on socio&#xD;
demographics, medical and drug history was collected&#xD;
using a structured questionnaire followed by a focused&#xD;
cardiovascular examination. A standard trans-thoracic&#xD;
echocardiogram was done by a study dedicated&#xD;
sonographer and interpreted by a cardiologist using&#xD;
American Society of Echocardiography guidelines.&#xD;
A standard 12 lead resting ECG was also done and&#xD;
read by the same cardiologist. Outcomes of interest&#xD;
included Left Ventricular Hypertrophy (LVH), Left&#xD;
Ventricular Ejection Fraction (LVEF), pathological&#xD;
valve disease, pathological Q waves and arrhythmias.&#xD;
The prevalence estimates were reported with the&#xD;
corresponding 95% confidence intervals.&#xD;
Results: Seventy two participants were included in the&#xD;
final analysis. Their median age was 41 (29.8, 60) years&#xD;
and 51.3% were male. Majority (93%) were on two&#xD;
sessions of dialysis per week, with 97.2% being known&#xD;
hypertensives. Almost three quarters of them (72.2%)&#xD;
had some form of cardiac disease as follows; left&#xD;
ventricular hypertrophy 58%, left ventricular systolic&#xD;
dysfunction 49%, pathological valvular disease 15.3%,&#xD;
arrhythmias 9.7% and pathological Q waves 6.9%.&#xD;
Conclusion: There is a high burden of cardiac disease&#xD;
in patients with ESRD on heamodialysis at MTRH with&#xD;
the predominant lesions being LVH and left ventricular&#xD;
systolic dysfunction.</summary>
    <dc:date>2018-09-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Patient-Specific Mobile Phone-Generated Reminders and Quality of Hypertension Care in Western Kenya</title>
    <link rel="alternate" href="http://ir.mu.ac.ke:8080/jspui/handle/123456789/10230" />
    <author>
      <name>KIRUIa, Nicholas</name>
    </author>
    <author>
      <name>KAMANO, Jemimah</name>
    </author>
    <author>
      <name>SAVAI, Simon</name>
    </author>
    <author>
      <name>MISOI, Lawrence</name>
    </author>
    <author>
      <name>RONO, Steven</name>
    </author>
    <author>
      <name>WERE, Martin C.</name>
    </author>
    <id>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10230</id>
    <updated>2026-06-19T09:33:46Z</updated>
    <published>2024-01-01T00:00:00Z</published>
    <summary type="text">Title: Patient-Specific Mobile Phone-Generated Reminders and Quality of Hypertension Care in Western Kenya
Authors: KIRUIa, Nicholas; KAMANO, Jemimah; SAVAI, Simon; MISOI, Lawrence; RONO, Steven; WERE, Martin C.
Abstract: To evaluate the impact of clinician-targeted mHealth-generated care&#xD;
suggestions on compliance with hypertension care guidelines in a resource-limited&#xD;
setting. This study was conducted in 10 rural health clinics in Western Kenya that&#xD;
offered hypertension care through nurses and clinical officers. Sites were grouped&#xD;
into intervention and control groups. Intervention group clinicians had patientspecific&#xD;
care suggestions triggered and displayed on a mobile application, mUzima,&#xD;
for their action. Care suggestions were also triggered in the mHealth application for&#xD;
control arm clinicians but were not displayed. Differences in compliance with&#xD;
hypertension care guidelines were evaluated. The study involved 378 patients with&#xD;
hypertension who had care suggestions generated during visits (217 in intervention&#xD;
group and 161 in control group). There was a higher proportion of adherence to&#xD;
hypertension care guidelines in the intervention group compared to the control group&#xD;
(91.1% vs. 85.7%, p=0.014). The random effects model showed significant&#xD;
variability in compliance rates among study clinicians (variance of 0.44, 95% CI:&#xD;
0.12 -1.62). When displayed care suggestions were rejected by intervention&#xD;
providers, the most common reason given was ‘Previously ordered’ (58.8%).&#xD;
Clinicians felt that care suggestions improved awareness of hypertension care&#xD;
guidelines. The successful scaled implementation of mUzima with patient specific&#xD;
care suggestions led to higher adherence to hypertension care guidelines and&#xD;
improved quality of hypertension care. Tailormade m-Health applications in&#xD;
resource constrained settings for hypertension care and other chronic noncommunicable&#xD;
diseases has the potential to lead to better adherence to care&#xD;
guidelines and quality of care.</summary>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
  </entry>
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