44 research outputs found

    Comparing static and outreach immunization strategies and associated factors in Uganda, Nov-Dec 2016

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    Introduction: the government of Uganda aims at reducing childhood morbidity through provision of immunization services. We compared the proportion of children 12-33 months reached using either static or outreach immunization strategies and factors affecting utilization of routine vaccination services in order to inform policy updates. Methods: we adopted the 2015 vaccination coverage cluster survey technique. The sample selection was based on a stratified three-stage sample design. Using the Fleiss formula, a sample of 50 enumeration areas was sufficient to generate immunization coverages at each region. A total of 200 enumeration areas were selected for the survey. Thirty households were selected per enumeration area. Epi-Info software was used to calculate weighted coverage estimates. Results: among the 2231 vaccinated children aged 12-23 months who participated in the survey, 68.1% received immunization services from a health unit and 10.6% from outreaches. The factors that affected utilization of routine vaccination services were; accessibility, where 78.2% resided within 5km from a health facility. 29.7% missed vaccination due to lack of vaccines at the health facility. Other reasons were lack of supplies at 39.2% and because the caretaker had other things to do, 26.4%. The survey showed 1.8% (40/2271) respondents had not vaccinated their children. Among these, 70% said they had not vaccinated their child because they were busy doing other things and 27.5% had not done so because of lack of motivation. Conclusion: almost 7 in 10 children aged 12-23 months access vaccination at health facilities. There is evidence of parental apathy as well as misconceptions about vaccination

    The genesis and evolution of the African Field Epidemiology Network

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    In an effort to contain the frequently devastating epidemics in sub-Saharan Africa, the World Health Organization (WHO) Regional Office for Africa launched the Integrated Disease Surveillance and Response (IDSR) strategy in an effort to strengthen surveillance and response. However, 36 sub-Saharan African countries have been described as experiencing a human resource crisis by the WHO. Given this human resource situation, the challenge remains for these countries to achieve, among others, the health-related Millennium Development Goals (MDGs). This paper describes the process through which the African Field Epidemiology Network (AFENET) was developed, as well as how AFENET has contributed to addressing the public health workforce crisis, and the development of human resource capacity to implement IDSR in Africa. AFENET was established between 2005 and 2006 as a network of Field Epidemiology Training Programs (FETPs) and Field Epidemiology and Laboratory Training Programs (FELTPs) in Africa. This resulted from an expressed need to develop a network that would advocate for the unique needs of African FETPs and FELTPs, provide service to its membership, and through which programs could develop joint projects to address the public health needs of their countries. A total of eight new programs have been developed in sub-Saharan Africa since 2006. Programs established after 2006 represent over 70% of current FETP and FELTP enrolment in Africa. In addition to growth in membership and programs, AFENET has recorded significant growth in external partnerships. Beginning with USAID, CDC and WHO in 2004-2006, a total of at least 26 partners have been added by 2011. Drawing from lessons learnt, AFENET is now a resource that can be relied upon to expand public health capacity in Africa in an efficient and practical manner. National, regional and global health actors can leverage it to meet health-related targets at all levels. The AFENET story is one that continues to be driven by a clearly recognized need within Africa to develop a network that would serve public health systems development, looking beyond the founders, and using the existing capacity of the founders and partners to help other countries build capacity for IDSR and the International Health Regulations (IHR, 2005).Pan Afr Med J. 2011; 10(Supp 1):

    Factors Associated with Virological Non-suppression among HIV-Positive Patients on Antiretroviral Therapy in Uganda, August 2014-July 2015.

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    BACKGROUND: Despite the growing number of people on antiretroviral therapy (ART), there is limited information about virological non-suppression and its determinants among HIV-positive (HIV+) individuals enrolled in HIV care in many resource-limited settings. We estimated the proportion of virologically non-suppressed patients, and identified the factors associated with virological non-suppression. METHODS: We conducted a descriptive cross-sectional study using routinely collected program data from viral load (VL) samples collected across the country for testing at the Central Public Health Laboratories (CPHL) in Uganda. Data were generated between August 2014 and July 2015. We extracted data on socio-demographic, clinical and VL testing results. We defined virological non-suppression as having ≥1000 copies of viral RNA/ml of blood for plasma or ≥5000 copies of viral RNA/ml of blood for dry blood spots. We used logistic regression to identify factors associated with virological non-suppression. RESULTS: The study was composed of 100,678 patients; of these, 94,766(94%) were for routine monitoring, 3492(4%) were suspected treatment failures while 1436(1%) were repeat testers after suspected failure. The overall proportion of non-suppression was 11%. Patients on routine monitoring registered the lowest (10%) proportion of non-suppressed patients. Virological non-suppression was higher among suspected treatment failures (29%) and repeat testers after suspected failure (50%). Repeat testers after suspected failure were six times more likely to have virological non-suppression (ORadj = 6.3, 95%CI = 5.5-7.2) when compared with suspected treatment failures (ORadj = 3.3, 95%CI = 3.0-3.6). The odds of virological non-suppression decreased with increasing age, with children aged 0-4 years (ORadj = 5.3, 95%CI = 4.6-6.1) and young adolescents (ORadj = 4.1, 95%CI = 3.7-4.6) registering the highest odds. Poor adherence (ORadj = 3.4, 95%CI = 2.9-3.9) and having active TB (ORadj = 1.9, 95%CI = 1.6-2.4) increased the odds of virological non-suppression. However, being on second/third line regimens (ORadj = 0.86, 95%CI = 0.78-0.95) protected patients against virological non-suppression. CONCLUSION: Young age, poor adherence and having active TB increased the odds of virological non-suppression while second/third line ART regimens were protective against non-suppression. We recommend close follow up and intensified targeted adherence support for repeat testers after suspected failure, children and adolescents
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