The Impact of Market Factors on Meaningful Use of Electronic Health Records Among Primary Care Providers Evidence From Florida Using Resource Dependence Theory and Information Uncertainty Perspective

被引:1
作者
Alexandre, Pierre K. [1 ,3 ]
Monestime, Judith P. [1 ]
Alexandre, Kessie [2 ]
机构
[1] Florida Atlantic Univ, Coll Business, Dept Management, Hlth Adm Program, Boca Raton, FL USA
[2] Univ Washington, Dept Geog, Seattle, WA USA
[3] Florida Atlantic Univ, Coll Business, Dept Management, 777 Glades Rd, Boca Raton, FL 33431 USA
基金
美国国家卫生研究院;
关键词
electronic health Records; meaningful use; digital divide; hitech act; resource dependence theory; information uncertainty perspective; health information technology; MANAGED CARE; ADOPTION; TECHNOLOGY; PHYSICIANS; DETERMINANTS; HOSPITALS; BENEFITS;
D O I
10.1097/MLR.0000000000001980
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
收藏
页码:256 / 262
页数:7
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