TY - JOUR
T1 - Supporting health insurance expansion
T2 - Do electronic health records have valid insurance verification and enrollment data?
AU - Heintzman, John
AU - Marino, Miguel
AU - Hoopes, Megan
AU - Bailey, Steffani R.
AU - Gold, Rachel
AU - O'Malley, Jean
AU - Angier, Heather
AU - Nelson, Christine
AU - Cottrell, Erika
AU - DeVoe, Jennifer
N1 - Funding Information:
This works was funded by the Patient Centered Outcomes Research Institute, Improving Health Systems (IMPACCT Kids’ Care, 2012); the National Cancer Institute (R01CA181452); and the Agency for Healthcare Quality and Research (K08HS021522).
Publisher Copyright:
© The Author 2015.
PY - 2015/7/1
Y1 - 2015/7/1
N2 - Objective 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. Materials and Methods Subjects Children visiting any of 96 CHCs (N=69 189) from 2011 to 2012. Analysis The authors measured correspondence (whether or not the visit was covered by Medicaid) between EHR coverage data and (i) reimbursement data and (ii) coverage data from Medicaid. Results Compared to reimbursement data and Medicaid coverage data, EHR coverage data had high agreement (87% and 95%, respectively), sensitivity (0.97 and 0.96), positive predictive value (0.88 and 0.98), but lower kappa statistics (0.32 and 0.49), specificity (0.27 and 0.60), and negative predictive value (0.66 and 0.45). These varied among clinics. Discussion/Conclusions 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. Future work should attempt to replicate these analyses in other settings.
AB - Objective 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. Materials and Methods Subjects Children visiting any of 96 CHCs (N=69 189) from 2011 to 2012. Analysis The authors measured correspondence (whether or not the visit was covered by Medicaid) between EHR coverage data and (i) reimbursement data and (ii) coverage data from Medicaid. Results Compared to reimbursement data and Medicaid coverage data, EHR coverage data had high agreement (87% and 95%, respectively), sensitivity (0.97 and 0.96), positive predictive value (0.88 and 0.98), but lower kappa statistics (0.32 and 0.49), specificity (0.27 and 0.60), and negative predictive value (0.66 and 0.45). These varied among clinics. Discussion/Conclusions 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. Future work should attempt to replicate these analyses in other settings.
KW - Children
KW - Community health centers
KW - Electronic health records
KW - Health insurance
KW - Health insurance claims
KW - Medicaid expansion
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U2 - 10.1093/jamia/ocv033
DO - 10.1093/jamia/ocv033
M3 - Article
C2 - 25888586
AN - SCOPUS:84964695223
SN - 1067-5027
VL - 22
SP - 909
EP - 913
JO - Journal of the American Medical Informatics Association
JF - Journal of the American Medical Informatics Association
IS - 4
ER -