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Aug 2025 DOI 10.14302/issn.3070-1937.ijbt-25-5540
The rising need for structured and efficient blood transfusion services in low-resource settings has driven the adoption of collaborative blood transfusion management systems (CBTMS). This study explores the functionality and impact of the Cornerstone University Blood Management System version 1.0 (CUBMS vs 1.0) in Cameroon. This study was an exploratory research design which used a system interface analysis, comparative case reviews from four countries, and literature synthesis, to reveal that CUBMS improves accessibility, data management, inventory control, emergency responsiveness, and community engagement. Despite infrastructural challenges in rural regions, the system can enhance efficiency, transparency, and safety in blood services. The success of CBTMS in Cameroon is linked to digital infrastructure, training, and culturally relevant community engagement. The Ministry of Public Health of Cameroon should prioritize the nationwide implementation of CBTMS, ensuring consistency in digital health tools.
Oct 2020 DOI 10.14302/issn.2641-4538.jphi-19-3115
Africa Region has the highest burden of malaria with an estimated of 3.5 million more malaria cases in 2017 compared 212 million cases in reported in 2016. Data collected from 2015 to 2017, shown no global progress in reducing malaria cases. In Mainland Tanzania, malaria control interventions have significantly led to the reduction in malaria prevalence from 18.1% in 2008 to 7.3% in 2017. Despite of these achievements, malaria burden is still highly heterogonous with some regions including urban peripheral areas of Dar es Salaam, presenting persistent malaria transmission ranging from 2 to 57%. Material and Methods A cross- sectional population based survey was carried out in Ilala Municipality in Dar es Salaam; data was collected from 2nd to 31 April, 2019. Multistage cluster sampling was used to select the households where individual member were conveniently selected to participate in the study. Structured questionnaire were administered by the trained researcher assistants to assess individual risk factors for malaria. Rapid Malaria diagnostic test (mRDT) was used to identify individual exposed to malaria infection. Measure of association used was prevalence odds ratio (POR). Multivariate regression model used to determine prevalence odds ratio, variable with p- value < 0.05 were considered as independent risk factor for persistent malaria transmission. Results A total of 830 participants were recruited in the study, mean age was 24yrs ±20.4SD. Majority 489 (58.9%) were female, 459 (55.3%) were >18 yrs old, primary or no education were 687 (82.8%), farmer or unemployed were 639 (77%). Msongola ward contributed 406 (48.9%). Overall malaria prevalence in the study areas was (4.5%). Nets ownership was 141 (16.9%), usage was 121 (85.8%).Low proportion of net ownerships (POR: 7.67, 95% CI: 4.23, 24.6), residing in the households surrounded by mosquito breeding sites POR: 20.07, 95% CI: 7.03, 57.29) and residing in houses with unscreened windows (POR: 1.21, 95% CI: 1.26, 3.40) were independently associated with malaria infection. Conclusion Low nets ownership, residing in the households surrounded by mosquito breeding sites and in households with unscreened windows was independent factors associated with risk of malaria in the areas. Promotion of ITNs coverage, application of biolarvicides through community engagement and house screening was recommended to reduce the risk of malaria infection in the areas.
Feb 2018 DOI 10.14302/issn.2379-7835.ijn-17-1872
Objective: To elaborate on the procedures undertaken to establish blood draws and cold chain for nutrition assessments. Setting: A total of 5,044 birth cohort households were enrolled and assessed using household questionnaires, anthropometry, and blood sampling to assess nutritional issues and exposures to environmental contaminants. The challenge was to obtain, transport, process, store, and analyze tens of thousands of serum samples obtained in sites that were often difficult to reach. Approach: Before enrollment began, 24 healthcare facilities in the North and Southwest of Uganda were assessed for suitability as local nodes for processing and storage. Equipment needs included functional centrifuges, refrigeration, ice machines, and -20oC freezers. Other important physical infrastructure included the presence of backup power (generator or solar generated) in the event of electricity failure. Once samples were obtained, they were transported within 5 hours to the facility laboratories, where serum was separated and aliquoted into properly labelled storage tubes and then frozen. Relevant Changes: At community level, our team visited households or small group of household members close to their homes to reduce on travel time hence contributed to high retention rates. Our immediate testing for anemia and malaria results benefited enrollees and enhanced community acceptance. By using Village Health Teams (VHTs), we could accommodate household preferences for the timing of sample collection. Our engagement with phlebotomists transformed their role from a simple service into active team members. Lessons Learned: Our first lesson was that in our setting, the success of this nutrition biological sampling system required community engagement and acceptance. By combining an immediately actionable set of tests (for anemia and malaria), and visiting cohort households, we greatly enhanced the success of the system.