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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 6 of 6 Research Studies DisplayedHuguet N, Kaufmann J, O'Malley J
Using electronic health records in longitudinal studies: estimating patient attrition.
This study’s objective was to estimate overall and among adults with diabetes or hypertension: 1) patient attrition over a 3-year period at community health centers; and 2) the likelihood that patients with Medicaid switched their primary care source. Data was collected from the retrospective cohort study of 2012-2017 claims data Accelerating Data Value Across a National Community Health Center Network (ADVANCE) Clinical Data Research Network of community health centers. This study focused on Oregon Medicaid enrollees with a total of 232,891 patients aged 19-64 with a gap of 6 months or more following a claim for a visit billed to a primary care source. The authors theorized the reason was due to patients with Medicaid permanently changing their primary care source. They found that attrition over 3 years averaged 33.5% but patients with diabetes or hypertension was lower (25% or less). Among Medicaid patients the attrition rate 12% for community health center patients compared with 39% for single-provider practice patients.
AHRQ-funded; HS025962.
Citation: Huguet N, Kaufmann J, O'Malley J .
Using electronic health records in longitudinal studies: estimating patient attrition.
Med Care 2020 Jun;58(Suppl 1):S46-S52. doi: 10.1097/mlr.0000000000001298...
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diabetes, Blood Pressure, Chronic Conditions, Primary Care, Medicaid
Marino M, Angier H, Valenzuela S
Medicaid coverage accuracy in electronic health records.
The objective of the study was to evaluate the validity of electronic health record (EHR) data for monitoring longitudinal Medicaid coverage and assess variation by patient demographics, visit types, and clinic characteristics. The researchers conducted a retrospective, observational study comparing Medicaid status agreement between Oregon community health center EHR data linked at the patient-level to Medicaid enrollment data (gold standard).
AHRQ-funded; HS024270.
Citation: Marino M, Angier H, Valenzuela S .
Medicaid coverage accuracy in electronic health records.
Prev Med Rep 2018 Sep;11:297-304. doi: 10.1016/j.pmedr.2018.07.009..
Keywords: Electronic Health Records (EHRs), Health Insurance, Health Services Research (HSR), Medicaid, Policy
Heintzman J, Marino M, Hoopes M
Supporting health insurance expansion: do electronic health records have valid insurance verification and enrollment data?
The researchers sought to validate electronic health record (EHR) insurance information for low-income pediatric patients at Oregon community health centers (CHCs), compared to reimbursement data and Medicaid coverage data. They concluded that EHR coverage data for children had a high overall correspondence with Medicaid data and reimbursement data, suggesting that in some systems EHR data could be utilized to promote insurance stability in their patients.
AHRQ-funded; HS021522.
Citation: Heintzman J, Marino M, Hoopes M .
Supporting health insurance expansion: do electronic health records have valid insurance verification and enrollment data?
J Am Med Inform Assoc 2015 Jul;22(4):909-13. doi: 10.1093/jamia/ocv033..
Keywords: Electronic Health Records (EHRs), Health Insurance, Medicaid, Low-Income, Children/Adolescents
Hoopes MJ, Angier H, Gold R
Utilization of community health centers in Medicaid expansion and nonexpansion states, 2013-2014.
Using electronic health record data, the researchers examined longitudinal changes in community health center (CHC) visit rates from 2013 through 2014 in Medicaid expansion versus nonexpansion states. Rates increased in expansion state CHCs for new patient, preventive, and limited-service visits (14 percent, 41percent, and 23 percent, respectively), whereas these rates remained unchanged in nonexpansion states.
AHRQ-funded; HS024270.
Citation: Hoopes MJ, Angier H, Gold R .
Utilization of community health centers in Medicaid expansion and nonexpansion states, 2013-2014.
J Ambul Care Manage 2016 Jan 13;39(4):290-8. doi: 10.1097/jac.0000000000000123.
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Keywords: Electronic Health Records (EHRs), Community-Based Practice, Healthcare Utilization, Medicaid, Uninsured
Miller D, Noonan K, Fiks AG
Increasing pediatrician participation in EHR incentive programs.
The authors addressed potential causes of the variability of pediatrician registration in the meaningful use (MU) program and suggested specific solutions to support effective pediatric electronic health record implementation across all states. They concluded that implementing their proposed solutions would support pediatricians’ use of electronic health records, with an ultimate goal of improving child health.
AHRQ-funded; HS022689.
Citation: Miller D, Noonan K, Fiks AG .
Increasing pediatrician participation in EHR incentive programs.
Pediatrics 2015 Jan;135(1):e1-4. doi: 10.1542/peds.2014-2438.
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Keywords: Children's Health Insurance Program (CHIP), Electronic Health Records (EHRs), Provider: Health Personnel, Medicaid, Children/Adolescents
Heintzman J, Bailey SR, Hoopes MJ
Agreement of Medicaid claims and electronic health records for assessing preventive care quality among adults.
The researchers sought to compare the agreement of electronic health records (EHR) data versus Medicaid claims data in documenting adult preventive care. For services performed in the primary care setting, EHR data compared favorably to Medicaid claims in documenting the percentage of patients with service receipt; services that were referred out were less frequently observed in the EHR.
AHRQ-funded; HS021522
Citation: Heintzman J, Bailey SR, Hoopes MJ .
Agreement of Medicaid claims and electronic health records for assessing preventive care quality among adults.
J Am Med Inform Assoc. 2014 Jul-Aug;21(4):720-4. doi: 10.1136/amiajnl-2013-002333..
Keywords: Electronic Health Records (EHRs), Health Insurance, Medicaid, Prevention, Primary Care