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Research Studies is a monthly compilation of research articles funded by AHRQ or authored by AHRQ researchers and recently published in journals or newsletters.
Results1 to 3 of 3 Research Studies Displayed
Khatibzadeh S, Saheb Kashaf M, Micha R
A global database of food and nutrient consumption.
The authors conducted an empirical assessment of dietary intakes in order for evidence-based policy-making to address global health challenges. They derived The Global Dietary Database, which combines broad global coverage with estimates of food and nutrient consumption by age, sex and time. They believe that these data provide an empirical basis for global dietary surveillance, policy-making and priority setting to address diet-related burdens of disease.
Citation: Khatibzadeh S, Saheb Kashaf M, Micha R . A global database of food and nutrient consumption. Bull World Health Organ 2016 Dec;94(12):931-34. doi: 10.2471/blt.15.156323.
Keywords: Data, Evidence-Based Practice, Nutrition, Policy, Public Health
Riehle-Colarusso TJ, Bergersen L, Broberg CS
AHRQ Author: Gray DT
Databases for congenital heart defect public health studies across the lifespan.
Key experts and stakeholders have identified public health knowledge gaps about congenital heart defects (CHDs). These gaps, and strategies to address them, formed the basis of a CHD public health science agenda. The strategies included leveraging information in existing databases to examine the epidemiology, health outcomes, and health service utilization of the CHD population. The authors discuss this complex constellation of databases, their relative characteristics and possible linkages.
Citation: Riehle-Colarusso TJ, Bergersen L, Broberg CS . Databases for congenital heart defect public health studies across the lifespan. J Am Heart Assoc 2016 Oct 26;5(11). doi: 10.1161/jaha.116.004148.
Keywords: Cardiovascular Conditions, Public Health, Data
Roosan D, Del Fiol G, Butler J
Feasibility of population health analytics and data visualization for decision support in the infectious diseases domain: a pilot study.
The objectives of this study were: 1) to explore the feasibility of extracting and displaying population-based information from an actual clinical population's database records, 2) to explore specific design features for improving population display, 3) to explore perceptions of population information displays, and 4) to explore the impact of population information display on cognitive outcomes. It concluded that a population database has great potential for reducing complexity and uncertainty in medicine to improve clinical care.
Citation: Roosan D, Del Fiol G, Butler J . Feasibility of population health analytics and data visualization for decision support in the infectious diseases domain: a pilot study. Appl Clin Inform 2016 Jun 29;7(2):604-23. doi: 10.4338/aci-2015-12-ra-0182.
Keywords: Clinical Decision Support (CDS), Data, Decision Making, Infectious Diseases, Public Health