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Biology subjects

Odlum, M.

Publications and source records attributed to Odlum, M..

2 recordsLinked to original sources

A Comparison of Comorbidities and their Contribution to Medical Resource Utilization for Matched HIV-Infected and Uninfected Individuals: A Cross-Sectional Analysis

HIV long-term survivorship is characterized by higher rates of comorbidities compared to uninfected groups. Aging with HIV involves complex interactions of factors (e.g., Individual Characteristics, Infections) that result in a 20% increase in comorbidity risk. With over half of the 1.1 million people living with HIV in the US age 50 and over, the need exists to further understand this interplay and differences in aging-related outcomes. Electronic health record data was analyzed for HIV infected (N=208) and uninfected (N=208) adult inpatients, propensity score matched by age and gender. Diagnostic codes were extracted that comprise the factors of Individual Characteristics, High Risk Behaviors, Chronic Conditions, Mental Health Conditions and Infections. Identified codes were assessed for their contributions to medical resource utilization, based on Charlson Comorbidity scores. Significant contributors to high Charslon scores for HIV infected patients were age ({beta}=0.116; [95% CI 0.077, 0.155]) and admission frequency ({beta}=0.159; [95% CI 0.114, 0.205]) in addition to the comorbidities of acute kidney failure ({beta}=3.27; [95% CI 1.76, 4.78]), hypertension ({beta}= -1.77; [95% CI -2.99, -0.551]). Significant contributors for HIV uninfected patients were age ({beta}=0.110; [95% CI 0.087, 0.133]), length of hospital stay ({beta}=0.006; [95% CI 0.003, 0.009]), acute kidney failure ({beta}=1.556; [95% CI 0.611, 2.50]), heart failure ({beta}= 1.713; [95% CI 0.717, 2.71]), and diabetes mellitus II ({beta}= 1.385; [95% CI 0.634, 2.14]). Our findings enhance the understanding of the contributions to medical resource utilization based on HIV status and can inform intervention efficacy for improved HIV aging outcomes.

epidemiology↗

Health Information Needs and Health Seeking Behavior during the 2014-2016 Ebola Outbreak: A Twitter Content Analysis

IntroductionFor effective public communication during major disease outbreaks like the 2014-2016 Ebola epidemic, health information needs of the population must be adequately assessed. Through content analysis of social media data, like tweets, public health information needs can be effectively assessed and in turn provide appropriate health information to effectively address such needs. The aim of the current study was to assess health information needs about Ebola, at distinct epidemic time points, through longitudinal tracking.\n\nMethodsNatural language processing was applied to explore public response to Ebola over time from the beginning of the outbreak (July 2014) to six month post outbreak (March 2015). A total 155,647 tweets (unique 68,736, retweet 86,911) mentioning Ebola were analyzed and visualized with infographics.\n\nResultsPublic fear, frustration, and health information seeking regarding Ebola-related global priorities were observed across time. Our longitudinal content analysis revealed that due to ongoing health information deficiencies, resulting in fear and frustration, social media was at times an impediment and not a vehicle to support health information needs.\n\nDiscussionContent analysis of tweets effectively assessed Ebola information needs. Our study also demonstrates the use of Twitter as a method for capturing real-time data to assess ongoing information needs, fear, and frustration over time.\n\nAll authors have seen and approved the manuscript.

bioinformatics↗