National Healthcare Quality and Disparities Report
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Topics
- Ambulatory Care and Surgery (1)
- Blood Pressure (1)
- Cardiovascular Conditions (1)
- Chronic Conditions (3)
- (-) Diabetes (7)
- Electronic Health Records (EHRs) (1)
- Health Information Technology (HIT) (1)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 7 of 7 Research Studies DisplayedMagnan EM, Bolt DM, Greenlee RT
Stratifying patients with diabetes into clinically relevant groups by combination of chronic conditions to identify gaps in quality of care.
The purpose of this paper was to find clinically relevant combinations of chronic conditions among patients with diabetes and to examine their relationships with six diabetes quality metrics. The researchers analyzed 12 conditions that were concordant with diabetes care to define five mutually exclusive combinations of conditions based on condition co-occurrence. They found the following condition classes: severe cardiac, cardiac, noncardiac vascular, risk factors, and no concordant comorbidities. They concluded that patients had distinct quality metric achievement by condition class, and those in less severe classes were less likely to achieve diabetes metrics.
AHRQ-funded; HS021899; HS018368.
Citation: Magnan EM, Bolt DM, Greenlee RT .
Stratifying patients with diabetes into clinically relevant groups by combination of chronic conditions to identify gaps in quality of care.
Health Serv Res 2018 Feb;53(1):450-68. doi: 10.1111/1475-6773.12607.
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Keywords: Cardiovascular Conditions, Chronic Conditions, Diabetes, Quality of Care, Quality Measures
Smith JJ, Johnston JM, Hiratsuka VY
Medical home implementation and trends in diabetes quality measures for AN/AI primary care patients.
The researchers investigated changes in trend for type 2 diabetes mellitus (DM-II) quality indicators after patient-centered medical home (PCMH) implementation at Southcentral Foundation, a tribal health organization in Alaska. They found that rates of new DM-II diagnoses were stable prior to but increased after implementation. DM-II rates of HbA1c screening increased, though not significantly before and remained stable after implementation.
AHRQ-funded; HS019154.
Citation: Smith JJ, Johnston JM, Hiratsuka VY .
Medical home implementation and trends in diabetes quality measures for AN/AI primary care patients.
Prim Care Diabetes 2015 Apr;9(2):120-6. doi: 10.1016/j.pcd.2014.06.005..
Keywords: Diabetes, Patient-Centered Healthcare, Primary Care, Quality Measures, Racial and Ethnic Minorities
Schmittdiel JA, Nichols GA, Dyer W
Health care system-level factors associated with performance on Medicare STAR adherence metrics in a large, integrated delivery system.
The researchers examined the association of Medicare STAR adherence metrics with system-wide factors for patients with diabetes. They found that the strongest predictor of achieving STAR-defined medication adherence for patients with diabetes was a greater days’ supply of medications. Other important factors were use of a mail order pharmacy, lower copayments and lower annual individual out-of-pocket maximums.
AHRQ-funded; HS019859
Citation: Schmittdiel JA, Nichols GA, Dyer W .
Health care system-level factors associated with performance on Medicare STAR adherence metrics in a large, integrated delivery system.
Med Care. 2015 Apr;53(4):332-7. doi: 10.1097/mlr.0000000000000328..
Keywords: Medicare, Diabetes, Patient Adherence/Compliance, Quality Measures
Magnan EM, Palta M, Johnson HM
The impact of a patient's concordant and discordant chronic conditions on diabetes care quality measures.
The researchers sought to determine the impact of the number of concordant and discordant chronic conditions on diabetes care quality. Their findings suggest that the patients most at risk for suboptimal diabetes care are the patients with the fewest comorbidities, especially the fewest concordant comorbidities.
AHRQ-funded; HS018368; HS021899.
Citation: Magnan EM, Palta M, Johnson HM .
The impact of a patient's concordant and discordant chronic conditions on diabetes care quality measures.
J Diabetes Complications 2015 Mar;29(2):288-94. doi: 10.1016/j.jdiacomp.2014.10.003..
Keywords: Quality Measures, Diabetes, Chronic Conditions
Schmittdiel J, Raebel M, Dyer W
Medicare Star excludes diabetes patients with poor CVD risk factor control.
This study is designed to improve understanding of novel CMS quality measures (adherence to antihypertensives, antihyperlipidemics, and oral antihyperglycemics) by assessing the proportion of Medicare patients with diabetes who are excluded from the Medicare Star medication adherence metrics due to early nonadherence and insulin use. Medicare’s STAR measures are used to evaluate the performance of Medicare Advantage plans.
AHRQ-funded; HS019859
Citation: Schmittdiel J, Raebel M, Dyer W .
Medicare Star excludes diabetes patients with poor CVD risk factor control.
Am J Manag Care. 2014 Dec; 20(12):e573-81..
Keywords: Medicare, Diabetes, Quality Measures, Patient Adherence/Compliance
Hirsch AG, Scheck McAlearney A
Measuring diabetes care performance using electronic health record data: the impact of diabetes definitions on performance measure outcomes.
The authors examined the use of electronic health record (EHR) data for diabetes performance measurement. They found that diabetes performance measures are influenced by the data elements used to identify patients. They recommended that as EHR data are used increasingly to measure performance, continuing to improve our understanding of how EHR data are collected and used will be critical.
AHRQ-funded; HS020165.
Citation: Hirsch AG, Scheck McAlearney A .
Measuring diabetes care performance using electronic health record data: the impact of diabetes definitions on performance measure outcomes.
Am J Med Qual 2014 Jul-Aug;29(4):292-9. doi: 10.1177/1062860613500808.
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Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Measures
Navar-Boggan AM, Fanaroff A, Swaminathan A
The impact of a measurement and feedback intervention on blood pressure control in ambulatory cardiology practice.
This study evaluated the impact of a targeted provider feedback intervention on rates of blood pressure control. Providers received quarterly provider-specific reports over a period of one year for a group of 300 patients treated in outpatient cardiology clinic practices. These reports as a stand-alone intervention did not affect overall BP control rates in cardiology clinics.
AHRQ-funded; HS021092
Citation: Navar-Boggan AM, Fanaroff A, Swaminathan A .
The impact of a measurement and feedback intervention on blood pressure control in ambulatory cardiology practice.
Am Heart J. 2014 Apr;167(4):466-71. doi: 10.1016/j.ahj.2013.12.015..
Keywords: Blood Pressure, Ambulatory Care and Surgery, Diabetes, Chronic Conditions, Quality Measures, Quality of Care