TY - JOUR
T1 - The Impact of Market Factors on Meaningful Use of Electronic Health Records among Primary Care Providers
T2 - Evidence from Florida Using Resource Dependence Theory and Information Uncertainty Perspective
AU - Alexandre, Pierre K.
AU - Monestime, Judith P.
AU - Alexandre, Kessie
N1 - Publisher Copyright:
© 2024 Lippincott Williams and Wilkins. All rights reserved.
PY - 2024/4/1
Y1 - 2024/4/1
N2 - Background: Using federal funds from the 2009 Health Information Technology for Economic and Clinical Health Act, the Centers for Medicare and Medicaid Services funded the 2011-2021 Medicaid electronic health record (EHR) incentive programs throughout the country. Objective: Identify the market factors associated with Meaningful Use (MU) of EHRs after primary care providers (PCPs) enrolled in the Florida - EHR incentives program through Adopting, Improving, or Upgrading (AIU) an EHR technology. Research Design: Retrospective cohort study using 2011-2018 program records for 8464 Medicaid providers. Main Outcome: MU achievement after first-year incentives. Independent Variables: The resource dependence theory and the information uncertainty perspective were used to generate key-independent variables, including the county's rurality, educational attainment, poverty, health maintenance organization penetration, and number of PCPs per capita. Analytical Approach: All the county rates were converted into 3 dichotomous measures corresponding to high, medium, and low terciles. Descriptive and bivariate statistics were calculated. A generalized hierarchical linear model was used because MU data were clustered at the county level (level 2) and measured at the practice level (level 1). Results: Overall, 41.9% of Florida Medicaid providers achieved MU after receiving first-year incentives. Rurality was positively associated with MU (P<0.001). Significant differences in MU achievements were obtained when we compared the "high" terciles with the "low" terciles for poverty rates (P=0.002), health maintenance organization penetration rates (P=0.02), and number of PCPs per capita (P=0.01). These relationships were negative. Conclusions: Policy makers and health care managers should not ignore the contribution of market factors in EHR adoption.
AB - Background: Using federal funds from the 2009 Health Information Technology for Economic and Clinical Health Act, the Centers for Medicare and Medicaid Services funded the 2011-2021 Medicaid electronic health record (EHR) incentive programs throughout the country. Objective: Identify the market factors associated with Meaningful Use (MU) of EHRs after primary care providers (PCPs) enrolled in the Florida - EHR incentives program through Adopting, Improving, or Upgrading (AIU) an EHR technology. Research Design: Retrospective cohort study using 2011-2018 program records for 8464 Medicaid providers. Main Outcome: MU achievement after first-year incentives. Independent Variables: The resource dependence theory and the information uncertainty perspective were used to generate key-independent variables, including the county's rurality, educational attainment, poverty, health maintenance organization penetration, and number of PCPs per capita. Analytical Approach: All the county rates were converted into 3 dichotomous measures corresponding to high, medium, and low terciles. Descriptive and bivariate statistics were calculated. A generalized hierarchical linear model was used because MU data were clustered at the county level (level 2) and measured at the practice level (level 1). Results: Overall, 41.9% of Florida Medicaid providers achieved MU after receiving first-year incentives. Rurality was positively associated with MU (P<0.001). Significant differences in MU achievements were obtained when we compared the "high" terciles with the "low" terciles for poverty rates (P=0.002), health maintenance organization penetration rates (P=0.02), and number of PCPs per capita (P=0.01). These relationships were negative. Conclusions: Policy makers and health care managers should not ignore the contribution of market factors in EHR adoption.
KW - digital divide
KW - electronic health Records
KW - health information technology
KW - hitech act
KW - information uncertainty perspective
KW - meaningful use
KW - resource dependence theory
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U2 - 10.1097/MLR.0000000000001980
DO - 10.1097/MLR.0000000000001980
M3 - Article
C2 - 38447010
AN - SCOPUS:85187544891
SN - 0025-7079
VL - 62
SP - 256
EP - 262
JO - Medical care
JF - Medical care
IS - 4
ER -