Health Management and Informatics publications (MU)
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Items in this collection are the scholarly output of the Department of Health Management and Informatics faculty, staff, and students, either alone or as co-authors, and which may or may not have been published in an alternate format. Items may contain more than one file type.
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Item Patterns and recent trends in mastectomy and breast conserving surgery for women with early-stage breast tumors in Missouri : an update and further investigation(2018) Schmaltz, C. L.; Jackson-Thompson, J.; Du, J.; Francis, B.1. Background: Most females age 18–64 diagnosed with an early-stage breast tumor in Missouri, 2008–2015, were surgically treated with either total (simple) mastectomy (TM), modified radical mastectomy (MRM), or breast conserving surgery (BCS). Last year, the Missouri Cancer Registry examined demographic differences between females receiving these treatments and noted a slight decrease in the % of cases getting BCS since 2008 with an increase in TM (& TM+MRM). 2. Purpose: To continue monitoring trends in the surgical treatment of early-stage breast cancer in Missouri and describe the patterns by demographics & tumor characteristics.Item Web-based applications for prioritizing health : a case study of 27 capital cities in Brazil 2006-2012 [Abstract](2015) Simoes, Eduardo J.; International Conference on Health Informatics and Technology (2nd : 2015 : Valencia, Spain)Abstract of a paper presented at the 2nd Health International Conference on Health Informatics and Technology, 2015: Introduction: Because public health funds are limited, programs need to be prioritized. We developed two indices to prioritize public health based on chronic disease risk factors (CDRF-PHI) and diseases (DZ-PHI). Conclusions: Identified public health priorities varied across the 27 Brazilian capital cities. PHIs summarize and harmonize data from multiple indicators, health conditions and factors.Item Obesity prevention and control strategies in Latin American and United States Latino populations [Abstract](2012) Simoes, Eduardo J.; International Conference and Exhibition on Obesity & Weight Management (2012 : Philadelphia, Pa.)Abstract of a paper presented at the International Conference and Exhibition on Obesity & Weight Management, 2012: Latinos are the largest and fastest growing ethnically diverse group in the U.S.; they are also the most overweight. Mexico is now second to the U.S. in suffering the worst epidemic of obesity in the world. Objectives of this study were to: 1) Conduct a systematic review of obesity-related interventions targeting Latinos living in the U.S. and Latin America; and 2) Develop evidence-based recommendations to inform culturally relevant strategies targeting obesity. Obesity-related interventions, published between 1965-2010, were identified through searches of major electronic databases. Selection criterion included: evaluation of obesity-related measures, intervention conducted in a community setting, with a sample of at least 50% Latino/Latin American participants, or with stratified results by race/ethnicity. Body of evidence was based on number of available studies, study design, execution, and effect size. Of 19,786 articles, 105 interventions met final inclusion criteria. Interventions promoting physical activity and/or healthy eating had strong or sufficient evidence for recommending: (1) school-based interventions in the U.S. and (2) Latin America; (3) interventions for overweight or obese children in the healthcare context in Latin America; (4) individual-based interventions for overweight or obese adults in the U.S.; (5) individual-based interventions for adults in Latin America; and (6) healthcare-based interventions for overweight or obese adults in Latin America.Item Effect of information technology and informatics on the treatment and control of type 2 diabetes [Abstract](2017) Simoes, Eduardo J.; Global Diabetes Conference & Medicare Expo (16th : 2017 : Rome, Italy)Abstract of a paper presented at the 16th Global Diabetes Conference & Medicare Expo, 2017: Diabetes is the fourth cause of death in the United States. Both IT and HI have been applied in the management of diabetes but their effect have been inconsistent. We used meta-analysis to identify a common effect of HI and IT across multiple studies on estimated average glucose (eAG). We found 370 articles based on search of randomized trials only. We excluded 328 articles, with 23 based on title and 305 based on abstract. We reviewed the full text of 42 articles that fit criteria for inclusion. After discarding 23 studies with incomplete information, we analyzed 19 articles. We estimated an IT and HI combined measure of reduction in eAG per mmol/L across 26 point estimates in 19 studies. We estimated a Hedges’ g effect size across the 26 point estimates. IT- and HI-based strategies for patient engagement or clinical decision support included mobile, computer-based, e-mail and internet approaches. We found reductions in eAG per mmol/L due to combined IT and HI across all 19 studies. Reductions in eAG levels were statistically significant (p-value≤0.05) in 15 out of 26 estimates. The combined HI or IT eAG reductions per mmol/L averaged -0.716 (-0,928, -0.503) with values ranging from -0.08 to a -2.02. This average reduction in eAG values is equivalent to a 1.7% in A1c. We found a standardized effect size (Hedges’ g) of 0.625 (0.434, 0.816) across all studies and estimates. Findings indicated both statistically and clinically significant effects of either IT or HI on diabetes prevention and control.Item Development and utility of the online priority health index [Abstract](2016) Simoes, Eduardo J.; International Conference on Medical Informatics & Telehealth (4th : 2016 : London, UK)Abstract of a paper presented at the 4th International Conference on Medical Informatics & Telehealth, 2016: Because public health funds are limited we created the priority health Indices (PHIs) for diseases (PHI-DZ) and risk factors (PHI-RF) to prioritize health issues for a specific geographical area or population. Use of PHIs precludes the need to draw indicator comparisons between local and other geographical areas or populations. PHI-DZ for a local area requires calculation of 20 measures and 12 indicators across 51 diseases groups. PHI-RF for a local area requires calculation of 10 measures and 6 indicators across 12 risk factors. PHIs are a weighted measure which harmonizes information from multiple indicators across many diseases or risk factors in two steps. First, we standardize and re-scale indicators to generate dimensionless and positive scores. Second, we used scores to generate PHIs in three ways: the sum of the priority ranked values of original indicators; the product and the sum of squares. PHI-RF has been used to prioritize health issues in Brazil (2015) and Italy (2010). A simplified version of both PHIs has been used in Missouri since 2002. Conducting PHI offline has limited use of the local public health practice. We used PHP and MySQL database to further develop two PHIs web applications. In the applications, we integrated R software for statistical analysis required to generate PHIs. PHIs Applications allow users to upload surveillance data and prioritize health issues locally. It also allows for simultaneous computing PHIs for multiple local areas. We use data from 27 Brazilian capital cities in 2000-2012 to demonstrate PHIs utility as a web-based application.