Health Management and Informatics publications (MU)
https://hdl.handle.net/10355/9716
The items in this collection are the scholarly output of the faculty, staff, and students of the Department of Health Management and Informatics.2024-03-29T05:47:01ZCollective impact : operationalizing a framework to coordinate community services
https://hdl.handle.net/10355/62693
Collective impact : operationalizing a framework to coordinate community services
Schlemper, Sara; Kapp, Julie M.; Campos, Sofia; Haq, Riyad; Simoes, Eduardo J.
The Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program provides comprehensive early childhood services. Federal agencies emphasize coordination of stakeholders for systems-building. Designing a well-coordinated system is complex. We reviewed MIECHV’s literature and program documents to identify community-coordination infrastructure elements. We designed visual frameworks for each model to display infrastructure, components, and connections. In the independent point of entry model, families access services directly. In the coordinated point of entry model, a centralized intake and referral structure supports system coordination. In the collective impact model, relevant community stakeholders actively and collaboratively participate in service coordination. Visual frameworks allow stakeholders to align on process and infrastructure of their programs to facilitate planning activities, use these frameworks to identify whether the model under which they operate is ideal, and then evolve their infrastructure.
2017-01-01T00:00:00ZDevelopment and utility of the online priority health index [Abstract]
https://hdl.handle.net/10355/67841
Development and utility of the online priority health index [Abstract]
Simoes, Eduardo J.
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.
Abstract.; Eduardo J Simoes, J Health Med Informat 2016, 7:5 (Suppl) http://dx.doi.org/10.4172/2157-7420.C1.011
2016-01-01T00:00:00ZEffect of information technology and informatics on the treatment and control of type 2 diabetes [Abstract]
https://hdl.handle.net/10355/67842
Effect of information technology and informatics on the treatment and control of type 2 diabetes [Abstract]
Simoes, Eduardo J.
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.
Abstract.; Eduardo J Simoes, J Diabetes Metab 2017, 8:1(Suppl) http://dx.doi.org/10.4172/2155-6156.C1.062
2017-01-01T00:00:00ZObesity prevention and control strategies in Latin American and United States Latino populations [Abstract]
https://hdl.handle.net/10355/67843
Obesity prevention and control strategies in Latin American and United States Latino populations [Abstract]
Simoes, Eduardo J.
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.
Abstract.; Eduardo J. Simoes, J Obes Wt Loss Ther 2012, 2:9 http://dx.doi.org/10.4172/2165-7904.S1.001
2012-01-01T00:00:00Z