Electronic Health Record Portal Adoption: a cross country analysis.
Ontology highlight
ABSTRACT: Background
This study's goal is to understand the factors that drive individuals to adopt Electronic Health Record (EHR) portals and to estimate if there are differences between countries with different healthcare models.Methods
We applied a new adoption model using as a starting point the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) by incorporating the Concern for Information Privacy (CFIP) framework. To evaluate the research model we used the partial least squares (PLS) - structural equation modelling (SEM) approach. An online questionnaire was administrated in the United States (US) and Europe (Portugal). We collected 597 valid responses.Results
The statistically significant factors of behavioural intention are performance expectancy ([Formula: see text] total?=?0.285; P?total?=?0.160; P?total?=?0.198; P?total?=?-0.141; P?total?=?0.152; P?total?=?0.255; P?total?=?0.145; P?total?=?0.480; P?ConclusionsOur study identified critical factors for the adoption of EHR portals and significant differences between the countries. Confidentiality issues do not seem to influence acceptance. The EHR portals usage patterns are significantly higher in US compared to Portugal.
SUBMITTER: Tavares J
PROVIDER: S-EPMC5499062 | biostudies-literature | 2017 Jul
REPOSITORIES: biostudies-literature
Publications
Electronic Health Record Portal Adoption: a cross country analysis.
Tavares Jorge J Oliveira Tiago T
BMC medical informatics and decision making 20170705 1
<h4>Background</h4>This study's goal is to understand the factors that drive individuals to adopt Electronic Health Record (EHR) portals and to estimate if there are differences between countries with different healthcare models.<h4>Methods</h4>We applied a new adoption model using as a starting point the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) by incorporating the Concern for Information Privacy (CFIP) framework. To evaluate the research model we used the partial le ...[more]
Similar Datasets
Project description:BACKGROUND:The future of health care delivery is becoming more patient-focused, and electronic health record (EHR) portals are gaining more attention from worldwide governments that consider this technology as a valuable asset for the future sustainability of the national health care systems. Overall, this makes the adoption of EHR portals an important field to study. OBJECTIVE:The aim of this study is to understand the factors that drive individuals to adopt EHR portals. METHODS:We applied a new adoption model that combines 3 different theories, namely, extended unified theory of acceptance and use of technology, health belief model, and the diffusion of innovation; all the 3 theories provided relevant contributions for the understanding of EHR portals. To test the research model, we used the partial least squares causal modeling approach. We executed a national survey based on randomly generated mobile phone numbers. We collected 139 questionnaires. RESULTS:Performance expectancy (beta=.203; t=2.699), compatibility (beta=.530; t=6.189), and habit (beta=.251; t=2.660) have a statistically significant impact on behavior intention (R2=76.0%). Habit (beta=.378; t=3.821), self-perception (beta=.233; t=2.971), and behavior intention (beta=.263; t=2.379) have a statistically significant impact on use behavior (R2=61.8%). In addition, behavior intention (beta=.747; t=10.737) has a statistically significant impact on intention to recommend (R2=69.0%), results demonstrability (beta=.403; t=2.888) and compatibility (beta=.337; t=2.243) have a statistically significant impact on effort expectancy (R2=48.3%), and compatibility (beta=.594; t=6.141) has a statistically significant impact on performance expectancy (R2=42.7%). CONCLUSIONS:Our research model yields very good results, with relevant R2 in the most important dependent variables that help explain the adoption of EHR portals, behavior intention, and use behavior.
| S-EPMC6318146 | biostudies-literature
Project description:BackgroundElectronic health record (EHR) systems have been shown to be associated with improvements in care processes, quality of care, and patient outcomes. EHR also has a crucial role in the delivery of substance use disorder (SUD) treatment and is considered important for addressing SUD crises, including the opioid epidemic. However, little is known about the adoption of EHR in SUD treatment programs or the organizational-level factors associated with the adoption of EHR in SUD treatment.ObjectiveWe examined the adoption of EHR in SUD programs, with a focus on changes in adoption from 2014 to 2017, and identified organizational-level factors associated with EHR adoption.MethodsWe used data from the 2014 and 2017 National Drug Abuse Treatment System Surveys. Our analysis included 1027 SUD programs (531 in 2014 and 496 in 2017). We used chi-square and Mann-Whitney U tests for categorical and continuous variables, respectively, to assess changes in EHR adoption, technology use, program, and client characteristics. We also investigated differences in characteristics and barriers to adoption by EHR adoption status (adopted EHR vs had not adopted or were planning to adopt EHR). We then conducted multivariate logistic regressions to examine internal and external factors associated with EHR adoption.ResultsThe adoption of EHR increased significantly from 57.6% (306/531) in 2014 to 69.2% (343/496) in 2017 (P<.001), showing that nearly one-third (153/496, 30.8%) of SUD programs had not yet adopted an EHR system by 2017. We identified a significant increase in technology use and ownership by a parent company (P=.01 and P<.001) and a decrease in the percentage of uninsured patients in 2017 (P<.001), compared to 2014. Our analysis further showed significant differences by adoption status for three major barriers to adoption: (1) start-up costs, (2) ongoing financial costs, and (3) privacy or security concerns (P<.001). Programs that used computerized scheduling (adjusted odds ratio [AOR] 3.02, 95% CI 2.23-4.09) and billing systems (AOR 2.29, 95% CI 1.62-3.25) were more likely to adopt EHR. Similarly, ownership type, such as private nonprofit (AOR 1.86, 95% CI 1.31-2.65) and public (AOR 2.14, 95% CI 1.27-3.67), or interest in participating in a patient-centered medical home (AOR 1.93, 95% CI 1.29-2.92), were associated with an increased likelihood to adopt EHR. Overall, SUD programs were more likely to adopt an EHR system in 2017 compared to 2014 (AOR 1.44, 95% CI 1.07-1.94).ConclusionsOur findings highlighted that SUD programs may be on track to achieve widespread EHR adoption. However, there is a need for focused strategies, resources, and policies explicitly designed to systematically address barriers and tackle obstacles to expanding the adoption of EHR systems. These efforts must be holistic and address factors at multiple organizational levels.
| S-EPMC10755658 | biostudies-literature
Project description:BACKGROUND:The Public Private Interface-Electronic Patient Record (PPI-ePR) system was implemented as a new electronic platform to facilitate collaboration between the public and private sectors in Hong Kong. However, its barriers to participate and benefits have not been comprehensively assessed. OBJECTIVE:This study aimed to evaluate the awareness, acceptance, perceived benefits, and obstacles to participation among private doctors and the general public. METHODS:From December 2012 to January 2013, 2435 telephone interviews were performed by trained interviewers to survey randomly selected patients who were enrolled or not enrolled in the PPI-ePR system. In addition, self-administered surveys were sent by postal mail to 4229 registered doctors in Hong Kong. The questionnaires for both patients and doctors contained questions on subjects' awareness, acceptance, and perceptions of the PPI-ePR, perceived benefits and obstacles of participating in the program, reasons for not using the system after enrolling, and perceived areas for service improvement of the system. RESULTS:More than 53.1% (266/501) of enrolled patients believed that the PPI-ePR system would improve health care quality by reducing duplicate tests and treatments, while more than 76.8% (314/409) of enrolled doctors emphasized timely access to patients' medical records as the biggest benefit of their enrollment. Among nonenrolled patients, unawareness of the project was the most popular obstacle to enrolling in the PPI-ePR system (483/1200, 40.3%). Regarding nonenrolled doctors, the complicated registration process hindered them from participating in the program the most (95/198, 48.0%). Television, newspaper, and magazine advertisements and medical profession newsletters or journals were suggested as the most effective means to encourage participation in the program among surveyed patients (1297/1701, 76.2%) and doctors (428/610, 70.2%), respectively. Lack of clinical indication requiring data extraction from other hospitals was the main reason for low level of PPI-ePR use. CONCLUSIONS:This study comprehensively assessed the popularity, perceived benefits, and hindering factors of enrolling in the PPI-ePR system in Hong Kong. Low levels of awareness, few privacy concerns, and inactive use of the PPI-ePR system were among the key features for patients and physicians. Public promotions, simplified logistics, and a user-friendly online interface were suggested to improve the coverage and effectiveness of health information exchange between private and public health care sectors.
| S-EPMC7171565 | biostudies-literature
Project description:Electronic health record (EHR) patient portals allow individuals to access their medical information with the intent of patient empowerment. However, little is known about portal use in nephrology patients. We addressed this gap by characterizing adoption of an EHR portal, assessing secular trends, and examining the association of portal adoption and BP control (<140/90 mmHg).Patients seen between January 1, 2010, and December 31, 2012, at any of four university-affiliated nephrology offices who had at least one additional nephrology follow-up visit before June 30, 2013, were included. Sociodemographic characteristics, comorbidities, clinical measurements, and office visits were abstracted from the EHR. Neighborhood median household income was obtained from the American Community Survey 2012.Of 2803 patients, 1098 (39%) accessed the portal. Over 87% of users reviewed laboratory results, 85% reviewed their medical information (e.g., medical history), 85% reviewed or altered appointments, 77% reviewed medications, 65% requested medication refills, and 31% requested medical advice from their renal provider. In adjusted models, older age, African-American race (odds ratio [OR], 0.50; 95% confidence interval [95% CI], 0.39 to 0.64), Medicaid status (OR, 0.53; 95% CI, 0.36 to 0.77), and lower neighborhood median household income were associated with not accessing the portal. Portal adoption increased over time (2011 versus 2010: OR, 1.38 [95% CI, 1.09 to 1.75]; 2012 versus 2010: OR, 1.95 [95% CI, 1.44 to 2.64]). Portal adoption was correlated with BP control in patients with a diagnosis of hypertension; however, in the fully adjusted model this was somewhat attenuated and no longer statistically significant (OR, 1.11; 95% CI, 0.99 to 1.24).While portal adoption appears to be increasing, greater attention is needed to understand why vulnerable populations do not access it. Future research should examine barriers to the use of e-health technologies in underserved patients with CKD, interventions to address them, and their potential to improve outcomes.
| S-EPMC4633780 | biostudies-literature
Project description: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-prescribing functionality; and predicted probability of EHR adoption for the average site. Local areas were defined as Public Use Microdata Areas (n = 2,068). Using multivariate regression, we examined the association between adoption and three area characteristics: high concentration of minority population; high concentration of low-income population; and metropolitan status. PRINCIPAL FINDINGS: EHR adoption varied significantly across local areas, ranging from 8 to 88 percent with a median of 41 percent. Adoption was lower in large metropolitan areas; areas with high concentration of minority population in the Northeast and West; and areas with high concentration of low-income population in the Midwest. CONCLUSIONS: Our 2011 estimates suggest there was substantial room for increased EHR adoption across the United States, including some underserved areas with relatively low EHR adoption rates. Further research should monitor policy initiatives in these areas and examine sources of heterogeneity in low- and high-adoption communities.
| S-EPMC3876400 | biostudies-other
Project description:ObjectiveTo assess how medical staffing mix changed over time in association with the adoption of electronic health records (EHRs) in community health centers (CHCs).Study settingCommunity health centers within the 50 states and Washington, DC.Study designEstimated how the change in the share of total medical staff full-time equivalents (FTE) by provider category between 2007 and 2013 was associated with EHR adoption using fractional multinomial logit.Data collection2007-2013 Uniform Data System, an administrative data set of Section 330 federal grant recipients; and Readiness for Meaningful Use and HIT and Patient Centered Medical Home Recognition Survey responses collected from Section 330 recipients between December 2010 and February 2011.Principal findingsHaving an EHR system did significantly shift the share of workers over time between physicians and each of the other categories of health care workers. While an EHR system significantly shifted the share of physician and other medical staff, this effect did not significantly vary over time. CHCs with EHRs by the end of the study period had a relatively greater proportion of other medical staff compared to the proportion of physicians.ConclusionsElectronic health records appeared to influence staffing allocation in CHCs such that other medical staff may be used to support adoption of EHRs as well as be leveraged as an important care provider.
| S-EPMC5269546 | biostudies-literature
Project description:Rationale & objectiveElectronic health record portals are increasingly emphasized in chronic kidney disease (CKD). However, associations of portal use with clinical and patient-centered outcomes remain unknown.Study designCross-sectional survey (April 2015 to March 2018).Setting & participantsNondialysis patients with CKD from nephrology clinics within 1 academic medical center.ExposuresPatient demographics (age, sex, race, ethnicity, education, and income), kidney function.OutcomesAssociation between portal use as an outcome and exposures. Additionally, associations of portal use and patient demographics with 4 patient-centered outcomes (CKD-specific knowledge, stress, and 2 self-ratings of health).Analytic approachLogistic regression to examine associations between patient portal use, demographics, and kidney function. Linear regression to examine associations between portal use and patient-centered outcomes.ResultsOf 245 participants, mean age was 60 ± 17 (SD) years, 182 (77%) were White, 121 (49%) were women, 230 (96%) had a high school education or higher, and 96 (45%) had <$50,000 annual income. Examining portal use, 159 (65%) used the portal as follows: checking laboratory test results, 157 (99%); managing appointments, 133 (84%); messaging providers, 131 (82%); viewing medical history, 127 (80%); reviewing educational resources, 113 (71%); and renewing prescriptions, 98 (62%). African Americans (OR, 0.34; 95% CI, 0.16-0.72 vs White patients), patients with less formal education (OR, 0.06; 95% CI, 0.01-0.36), and those with lower income (OR, 0.28; 95% CI, 0.13-0.60; and OR, 0.26; 95% CI, 0.12-0.54 comparing income < $25,000 and $25,000-$50,000, respectively, with ≥$50,000) had lower odds of using the portal. In adjusted analysis, only lower income predicted lower portal use. Examining patient-centered outcomes in univariable analysis, portal users had higher knowledge (β = 4.89; P = 0.02), higher ratings of current health (β = 0.28; P = 0.03), and lower CKD-related stress (β = -0.18; P = 0.05). In adjusted analysis, only patient demographics and/or kidney function remained independent predictors of patient-centered outcomes.LimitationsCross-sectional study design, cannot determine causality.ConclusionsInterventions are needed to ensure that all patients have access to portals to mitigate disparities in care.
| S-EPMC8039427 | biostudies-literature
Project description:BackgroundPatient portals provide patients and their caregivers online access to limited health results. Health care employees with electronic health record (EHR) access may be able to view their health information not available in the patient portal by looking in the EHR.ObjectiveIn this study, we examine how employees use the patient portal when they also have access to the tethered EHR.MethodsWe obtained patient portal and EHR usage logs corresponding to all employees who viewed their health data at our institution between January 1, 2013 and November 1, 2017. We formed three cohorts based on the systems that employees used to view their health data: employees who used the patient portal only, employees who viewed health data in the EHR only, and employees who used both systems. We compared system accesses and usage patterns for each employee cohort.ResultsDuring the study period, 35,172 employees accessed the EHR as part of patients' treatment and 28,631 employees accessed their health data: 25,193 of them used the patient portal and 13,318 accessed their clinical data in EHR. All employees who accessed their records in the EHR viewed their clinical notes at least once. Among EHR accesses, clinical note accesses comprised more than 42% of all EHR accesses. Provider messaging and appointment scheduling were the most commonly used functions in the patient portal. Employees who had access to their health data in both systems were more likely to engage with providers through portal messages.ConclusionEmployees at a large medical center accessed clinical notes in the EHR to obtain information about their health. Employees also viewed other health data not readily available in the patient portal.
| S-EPMC7299683 | biostudies-literature
Project description:ObjectiveTo determine rates of electronic health record (EHR) adoption and health information exchange (HIE) among New York State (NYS) nursing homes.Data sources/study settingPrimary data collected from a novel survey administered between November 2011 and March 2012 to all NYS nursing homes.Study designWe used a cross-sectional study design to assess level of EHR implementation, automation of key functionalities, participation in HIE, and barriers to adoption.Data collection/extraction methodsWe used descriptive statistics to characterize rates of EHR adoption and participation in HIE and logistic regression to identify nursing home characteristics associated with EHR adoption and HIE.Principal findingsWe received responses from 375 of 632 nursing homes (59.3 percent). Of respondents, almost one in five (n=66, 18.0 percent) reported having a fully implemented and operational EHR and a majority (n=192, 54.4 percent) reported electronically exchanging information. Nursing homes with 100-159 beds were significantly less likely than other facilities to have implemented or be in the process of implementing an EHR (p=.011).ConclusionsOur findings present an important systematic look at EHR adoption and HIE by NYS nursing homes. Although the nursing home sector has been reported to lag in health information technology adoption, our results are encouraging. However, they suggest much room for growth and highlight the need for targeted initiatives to achieve more widespread adoption in this important health care sector.
| S-EPMC3925407 | biostudies-literature
Project description:BackgroundFederal initiatives are underway that provide physicians with financial incentives for meaningful use (MU) of electronic health records (EHRs) and assistance to purchase and implement EHRs.ObjectiveWe sought to examine readiness and interest in MU among primary care physicians and specialists, and identify factors that may affect their readiness to obtain MU incentives.Design/participantsWe analyzed 4 years of data (2008-2011) from the National Ambulatory Medical Care Survey (NAMCS) Electronic Medical Record (EMR) Supplement, an annual cross-sectional nationally representative survey of non-federally employed office-based physicians.Main measuresSurvey-weighted EHR adoption rates, potential to meet selected MU criteria, and self-reported intention to apply for MU incentives. We also examined the association between physician and practice characteristics and readiness for MU.Key resultsThe overall sample consisted of 10,889 respondents, with weighted response rates of 62 % (2008); 74 % (2009); 66 % (2010); and 61 % (2011). Primary care physicians' adoption of EHRs with the potential to meet MU nearly doubled from 2009 to 2011 (18 % to 38 %, p<0.01), and was significantly higher than specialists (19 %) in 2011 (p<0.01). In 2011, half of physicians (52 %) expressed their intention to apply for MU incentives; this did not vary by specialty. Multivariate analyses report that EHR adoption was significantly higher in both 2010 and 2011 compared to 2009, and primary care physicians and physicians working in larger or multi-specialty practices or for HMOs were more likely to adopt EHRs with the potential to meet MU.ConclusionsPhysician EHR adoption rates increased in advance of MU incentive payments. Although interest in MU incentives did not vary by specialty, primary care physicians had significantly higher rates of adopting EHRs with the potential to meet MU. Addressing barriers to EHR adoption, which may vary by specialty, will be important to enhancing coordination of care.
| S-EPMC3682025 | biostudies-literature