2011
DOI: 10.1007/s11606-011-1749-y
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Use of an Electronic Patient Portal Among Disadvantaged Populations

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Cited by 319 publications
(274 citation statements)
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“…Covariates for adjustment were chosen according to clinical significance and possible effect on portal adoption (1,(3)(4)(5)(6)(7)(8)10,11,(13)(14)(15)29,31,33,34,36,(54)(55)(56)(57)(58)(59)(60)(61)(62)(63). Sociodemographic variables were age, sex, race, marital status, insurance status, neighborhood median household income, tobacco use, and follow-up duration.…”
Section: Statistical Analysesmentioning
confidence: 99%
See 1 more Smart Citation
“…Covariates for adjustment were chosen according to clinical significance and possible effect on portal adoption (1,(3)(4)(5)(6)(7)(8)10,11,(13)(14)(15)29,31,33,34,36,(54)(55)(56)(57)(58)(59)(60)(61)(62)(63). Sociodemographic variables were age, sex, race, marital status, insurance status, neighborhood median household income, tobacco use, and follow-up duration.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…We sought to address this gap by examining portal use, including secular trends, in universityaffiliated general nephrology clinics. Given previous literature indicating that underserved groups are less likely to use EHR portals (32)(33)(34)(35)(36), we hypothesized that race, neighborhood median household income, and insurance status would be associated with portal use and of particular concern in view of documented CKD disparities in these groups (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11). In addition, we believed that BP control, a key modifiable outcome that affects CKD progression, would depend on patient adherence, self-monitoring, and patient-provider communication.…”
Section: Introductionmentioning
confidence: 99%
“…[6][7][8] One study suggested that patient use of an online portal with refill function increased adherence to statin medications for those with diabetes receiving care in an integrated health system. 9,10 Studies also report that low education, income, and Internet access are associated with lower online use of an SMR, though socioeconomic status (SES) alone does not account for lower SMR use by racial-ethnic minorities. 11 African Americans and Latinos are less likely to use an online SMR system that has options to request medication refills.…”
Section: Introductionmentioning
confidence: 99%
“…4 In this issue of JGIM, two studies contribute to the growing evidence base around disparities in the use of health information technology. 5,6 Goel et al studied a single group practice affiliated with an academic medical center, and analyzed use of a patient portal that is directly integrated within a commercial electronic health record. In this setting, providers offer enrollment to their patients, and these offers were tracked via the placement of electronic orders.…”
mentioning
confidence: 99%
“…These investigators found racial disparities across the entire spectrum of engaging patients in effective use of the portal, with lower rates of offering enrollment among blacks compared to whites, as well as lower rates of subsequent registration and usage of the patient portal. 6 These studies raise several important issues as we consider the role of health information technology in addressing racial disparities in quality of care. It is vital to develop an evidence base regarding the impact of differential access to health information technology on quality of care and outcomes for minority patients.…”
mentioning
confidence: 99%