Browsing by Author "Serwadda, David M"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Alcohol use during pregnancy in Rakai, Uganda
    (Public Library of Science (PLoS), 2021-08-26) Wynn, Adriane; Nabukalu, Dorean; Lutalo, Tom; Wawer, Maria; Chang, Larry W; Kiene, Susan M; Serwadda, David M; Sewankambo, Nelson; Nalugoda, Fred; Kigozi, Godfrey; Wagman, Jennifer A
    IntroductionAntenatal alcohol use is linked to adverse maternal and neonatal outcomes. Uganda has one of the highest rates of alcohol use in sub-Saharan Africa, but the prevalence of antenatal alcohol use has not been reported in the Rakai region.MethodsWe used cross-sectional data from pregnant women in the Rakai Community Cohort Study between March 2017 and September 2018. Using bivariate and multivariable analyses, we assessed associations between self-reported antenatal alcohol use and sociodemographic characteristics, intimate partner violence (IPV), and HIV status.ResultsAmong 960 pregnant women, the median age was 26 years, 35% experienced IPV in the past 12 months, 13% were living with HIV, and 33% reported alcohol use during their current pregnancy. After adjusting for marital status, education, smoking, and HIV status; Catholic religion (AOR: 3.54; 95% CI: 1.89-6.64; compared to other), bar/restaurant work (AOR: 2.40; 95% CI: 1.17-4.92; compared to agriculture), >one sex partner in past year (AOR: 1.92; 95% CI: 1.17-3.16), a partner that drank before sex in past year (AOR: 2.01; 95% CI: 1.48-2.74), and past year IPV (AOR: 1.55; 95% CI: 1.14-2.11) were associated with antenatal alcohol use.ConclusionWe found that alcohol use during pregnancy was common and associated with religion, occupation, higher numbers of past year sex partners, having a partner who drank before sex in the past 12 months, and IPV experience. More research is needed to understand the quantity, frequency, and timing of antenatal alcohol use; and potential impacts on neonates; and to identify services that are acceptable and effective among pregnant women.
  • Thumbnail Image
    Item
    Using publicly available, interactive epidemiological dashboards: an innovative approach to sharing data from the Rakai Community Cohort Study
    (Oxford University Press, 2024-10) Footer, Kevin; Lake, Camille M; Porter, Joshua R; Ha, Grace K; Ahmed, Tanvir; Glogowski, Alex; Ndyanabo, Anthony; Grabowski, M Kate; Chang, Larry W; Ssekasanvu, Joseph; Kagaayi, Joseph; Serwadda, David M; Mckina, Jackie; Whalen, Christopher; Ssentongo, Lloyd; Nsimbi, Ivan; Kakeeto, Benedicto; Kigozi, Godfrey; Ssekubugu, Robert; Lutalo, Tom; Wawer, Maria J; Gray, Ronald H; Reynolds, Steven J; Rosenthal, Alex; Quinn, Thomas C; Tartakovsky, Michael
    Public sharing of de-identified biomedical data promotes collaboration between researchers and accelerates the development of disease prevention and treatment strategies. However, open-access data sharing presents challenges to researchers who need to protect the privacy of study participants, ensure that data are used appropriately, and acknowledge the inputs of all involved researchers. This article presents an approach to data sharing which addresses the above challenges by using a publicly available dashboard with de-identified, aggregated participant data from a large HIV surveillance cohort.ObjectivesPublic sharing of de-identified biomedical data promotes collaboration between researchers and accelerates the development of disease prevention and treatment strategies. However, open-access data sharing presents challenges to researchers who need to protect the privacy of study participants, ensure that data are used appropriately, and acknowledge the inputs of all involved researchers. This article presents an approach to data sharing which addresses the above challenges by using a publicly available dashboard with de-identified, aggregated participant data from a large HIV surveillance cohort.Data in this study originated from the Rakai Community Cohort Study (RCCS), which was integrated into a centralized data mart as part of a larger data management strategy for the Rakai Health Sciences Program in Uganda. These data were used to build a publicly available, protected health information (PHI)-secured visualization dashboard for general research use.Materials and MethodsData in this study originated from the Rakai Community Cohort Study (RCCS), which was integrated into a centralized data mart as part of a larger data management strategy for the Rakai Health Sciences Program in Uganda. These data were used to build a publicly available, protected health information (PHI)-secured visualization dashboard for general research use.Using two unique case studies, we demonstrate the capability of the dashboard to generate the following hypotheses: firstly, that HIV prevention strategies ART and circumcision have differing levels of impact depending on the marital status of investigated communities; secondly, that ART is very successful in comparison to circumcision as an interventional strategy in certain communities.ResultsUsing two unique case studies, we demonstrate the capability of the dashboard to generate the following hypotheses: firstly, that HIV prevention strategies ART and circumcision have differing levels of impact depending on the marital status of investigated communities; secondly, that ART is very successful in comparison to circumcision as an interventional strategy in certain communities.The democratization of large-scale anonymized epidemiological data using public-facing dashboards has multiple benefits, including facilitated exploration of research data and increased reproducibility of research findings.DiscussionThe democratization of large-scale anonymized epidemiological data using public-facing dashboards has multiple benefits, including facilitated exploration of research data and increased reproducibility of research findings.By allowing the public to explore data in depth and form new hypotheses, public-facing dashboard platforms have significant potential to generate new relationships and collaborations and further scientific discovery and reproducibility.ConclusionBy allowing the public to explore data in depth and form new hypotheses, public-facing dashboard platforms have significant potential to generate new relationships and collaborations and further scientific discovery and reproducibility. MEDLINE - Academic