2013
DOI: 10.1111/1475-6773.12078
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Geographic Variation in Ambulatory Electronic Health Record Adoption: Implications for Underserved Communities

Abstract: Objective. To describe small area variation in ambulatory electronic health record (EHR) adoption and assess evidence of a "digital divide" in whether adoption is lagging in traditionally underserved communities. Data Sources. Survey data on U.S. ambulatory health care sites (261,973 sites representing 716,160 providers) collected by SK&A Information Services in 2011. Study Design. We examined cross-sectional variation in two measures of local area EHR adoption: share of providers at sites using an EHR with e-… Show more

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Cited by 38 publications
(41 citation statements)
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References 36 publications
(63 reference statements)
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“…Due to the nature of cross-sectional data and the inability to determine causality, endogeneity among some of the variables is a potential issue, and in the absence of an instrumental variable and longitudinal data, endogeneity becomes a limitation of our study. Since the SK&A data are self-reported by practices, there may be errors in reporting and data entry (King, Furukawa, & Buntin, 2013; Lynch et al, 2014). Individual practices that are solely associated with NPs and without physicians (e.g., nurse-managed health centers and retail clinics) are not represented.…”
Section: Discussionmentioning
confidence: 99%
“…Due to the nature of cross-sectional data and the inability to determine causality, endogeneity among some of the variables is a potential issue, and in the absence of an instrumental variable and longitudinal data, endogeneity becomes a limitation of our study. Since the SK&A data are self-reported by practices, there may be errors in reporting and data entry (King, Furukawa, & Buntin, 2013; Lynch et al, 2014). Individual practices that are solely associated with NPs and without physicians (e.g., nurse-managed health centers and retail clinics) are not represented.…”
Section: Discussionmentioning
confidence: 99%
“…21 Policies should focus interventions to assist health centers in high poverty areas and in states with relatively low EHR adoption rates. In addition, participation in initiatives such as the Health Center Controlled Network program should be encouraged to help health centers make the work-flow changes necessary to use health IT to improve clinical care.…”
mentioning
confidence: 99%
“…Research has shown there is variation in EHR adoption nationally [37,38]. Different rates of EHR system adoption among both inpatient and ambulatory healthcare organizations may be impacting the PHM use.…”
Section: Health-related Factorsmentioning
confidence: 99%