National Healthcare Quality and Disparities Report
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedBowen ME, Xuan L, Lingvay I
Doc, I just ate: interpreting random blood glucose values in patients with unknown glycemic status.
This study sought to improve interpretation of RBG values in non-fasting individuals without self-reported dysglycemia and characterize the relationship between RBG and time since last caloric intake. It concluded that, in a nationally representative sample of non-fasting, community-dwelling individuals, those with undiagnosed dysglycemia had significantly higher RBG values than those with normoglycemia within 9 hours of caloric intake.
AHRQ-funded; HS022418.
Citation: Bowen ME, Xuan L, Lingvay I .
Doc, I just ate: interpreting random blood glucose values in patients with unknown glycemic status.
J Gen Intern Med 2018 Feb;33(2):142-44. doi: 10.1007/s11606-017-4213-9.
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Keywords: Diabetes, Diagnostic Safety and Quality, Screening
Leung LA, Swaminathan S, Trivedi AN
Diabetes diagnosis and exercise initiation among older Americans.
The investigators sought to determine whether exercise participation increased following a new diagnosis of diabetes using a sample of U.S. individuals aged 50 and over who did not report exercise prior to diagnosis. They found that over 35% of persons with a new diagnosis of diabetes initiated moderate or vigorous exercise in the year following their diagnosis.
AHRQ-funded; HS000011.
Citation: Leung LA, Swaminathan S, Trivedi AN .
Diabetes diagnosis and exercise initiation among older Americans.
Prev Med 2014 Aug;65:128-32. doi: 10.1016/j.ypmed.2014.05.001.
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Keywords: Diabetes, Diagnostic Safety and Quality, Elderly, Lifestyle Changes, Patient Self-Management
Lawrence JM, Black MH, Zhang JL
Validation of pediatric diabetes case identification approaches for diagnosed cases by using information in the electronic health records of a large integrated managed health care organization.
The researchers explored the utility of different algorithms for diabetes case identification by using electronic health records. They found that case identification accuracy was highest in 75% of bootstrapped samples for those who had 1 or more outpatient diabetes diagnoses or 1 or more insulin prescriptions and in 25% of samples for those who had 2 or more outpatient diabetes diagnoses and 1 or more antidiabetic medications.
AHRQ-funded; HS019859.
Citation: Lawrence JM, Black MH, Zhang JL .
Validation of pediatric diabetes case identification approaches for diagnosed cases by using information in the electronic health records of a large integrated managed health care organization.
Am J Epidemiol 2014 Jan;179(1):27-38. doi: 10.1093/aje/kwt230..
Keywords: Children/Adolescents, Diabetes, Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality