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Difference Between Users and Nonusers of a Patient Portal in Health Behaviors and Outcomes: Retrospective Cohort Study.

ABSTRACT: BACKGROUND:Patient portals are frequently used in modern health care systems as an engagement and communication tool. An increased focus on the potential value of these communication channels to improve health outcomes is warranted. OBJECTIVE:This paper aimed to quantify the impact of portal use on patients' preventive health behavior and chronic health outcomes. METHODS:We conducted a retrospective, observational cohort study of 10,000 patients aged 50 years or older who were treated at the University of Pennsylvania Health System (UPHS) from September 1, 2014, to October 31, 2016. The data were sourced from the UPHS electronic health records. We investigated the association between patient portal use and patients' preventive health behaviors or chronic health outcomes, controlling for confounders using a novel cardinality matching approach based on propensity scoring and a subsequent bootstrapping method to estimate the variance of association estimates. RESULTS:Patient-level characteristics differed substantially between portal users, comprising approximately 59.32% (5932/10000) of the cohort, and nonusers. On average, users were more likely to be younger (63.46 years for users vs 66.08 years for nonusers), white (72.77% [4317/5932] for users vs 52.58% [2139/4068] for nonusers), have commercial insurance (60.99% [3618/5932] for users vs 40.12% [1632/4068] for nonusers), and have higher annual incomes (US $74,172/year for users vs US $62,940/year for nonusers). Even after adjusting for these potential confounders, patient portal use had a positive and clinically meaningful impact on patients' preventive health behaviors but not on chronic health outcomes. CONCLUSIONS:This paper contributes to the understanding of the impact of patient portal use on health outcomes and is the first study to identify a meaningful subgroup of patients' health behaviors that improved with portal use. These findings may encourage providers to promote portal use to improve patients' preventive health behaviors.

SUBMITTER: Huang J

PROVIDER: S-EPMC6914108 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Difference Between Users and Nonusers of a Patient Portal in Health Behaviors and Outcomes: Retrospective Cohort Study.

Huang Jing J Chen Yong Y Landis J Richard JR Mahoney Kevin B KB

Journal of medical Internet research 20191007 10

<h4>Background</h4>Patient portals are frequently used in modern health care systems as an engagement and communication tool. An increased focus on the potential value of these communication channels to improve health outcomes is warranted.<h4>Objective</h4>This paper aimed to quantify the impact of portal use on patients' preventive health behavior and chronic health outcomes.<h4>Methods</h4>We conducted a retrospective, observational cohort study of 10,000 patients aged 50 years or older who w ...[more]

PMID: 31593546

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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.

Project description:BACKGROUND:Despite the growth of and media hype about mobile health (mHealth), there is a paucity of literature supporting the effectiveness of widespread implementation of mHealth technologies. OBJECTIVE:This study aimed to assess whether an innovative mHealth technology system with several overlapping purposes can impact (1) clinical outcomes (ie, readmission rates, revisit rates, and length of stay) and (2) patient-centered care outcomes (ie, patient engagement, patient experience, and patient satisfaction). METHODS:We compared all patients (2059 patients) of participating orthopedic surgeons using mHealth technology with all patients of nonparticipating orthopedic surgeons (2554 patients). The analyses included Wilcoxon rank-sum tests, Kruskal-Wallis tests for continuous variables, and chi-square tests for categorical variables. Logistic regression models were performed on categorical outcomes and a gamma-distributed model for continuous variables. All models were adjusted for patient demographics and comorbidities. RESULTS:The inpatient readmission rates for the nonparticipating group when compared with the participating group were higher and demonstrated higher odds ratios (ORs) for 30-day inpatient readmissions (nonparticipating group 106/2636, 4.02% and participating group 54/2048, 2.64%; OR 1.48, 95% CI 1.03 to 2.13; P=.04), 60-day inpatient readmissions (nonparticipating group 194/2636, 7.36% and participating group 85/2048, 4.15%; OR 1.79, 95% CI 1.32 to 2.39; P<.001), and 90-day inpatient readmissions (nonparticipating group 261/2636, 9.90% and participating group 115/2048, 5.62%; OR 1.81, 95% CI 1.40 to 2.34; P<.001). The length of stay for the nonparticipating cohort was longer at 1.90 days, whereas the length of stay for the participating cohort was 1.50 days (mean 1.87, SD 2 vs mean 1.50, SD 1.37; P<.001). Patients treated by participating surgeons received and read text messages using mHealth 83% of the time and read emails 84% of the time. Patients responded to 60% of the text messages and 53% of the email surveys. Patients were least responsive to digital monitoring questions when the hospital asked them to do something, and they were most engaged with emails that did not require action, including informational content. A total of 96% (558/580) of patients indicated high satisfaction with using mHealth technology to support their care. Only 0.40% (75/2059) patients opted-out of the mHealth technology program after enrollment. CONCLUSIONS:A novel, multicomponent, pathway-driven, patient-facing mHealth technology can positively impact patient outcomes and patient-reported experiences. These technologies can empower patients to play a more active and meaningful role in improving their outcomes. There is a deep need, however, for a better understanding of the interactions between patients, technology, and health care providers. Future research is needed to (1) help identify, address, and improve technology usability and effectiveness; (2) understand patient and provider attributes that support adoption, uptake, and sustainability; and (3) understand the factors that contribute to barriers of technology adoption and how best to overcome them.

Project description:BackgroundAs electronic health records and computerized workflows expand, there are unprecedented opportunities to digitally connect with patients using secure portals. To realize the value of patient portals, initial reach across populations will need to be demonstrated, as well as sustained usage over time.ObjectiveThe study aim was to identify patient factors associated with short-term and long-term portal usage after patients registered to access all portal functions.MethodsWe prospectively followed a cohort of patients at a large Department of Veterans Affairs (VA) health care facility who recently completed identity proofing to use the VA patient portal. Information collected at baseline encompassed patient factors potentially associated with portal usage, including: demographics, Internet access and use, health literacy, patient activation, and self-reported health conditions. The primary outcome was the frequency of portal log-ins during 6-month and 18-month time intervals after study enrollment.ResultsA total of 270 study participants were followed prospectively. Almost all participants (260/268, 97.0%) reported going online, typically at home (248/268, 92.5%). At 6 months, 84.1% (227/270) of participants had visited the portal, with some variation in usage across demographic and health-related subgroups. There were no significant differences in portal log-ins by age, gender, education, marital status, race/ethnicity, distance to a VA facility, or patient activation measure. Significantly higher portal usage was seen among participants using high-speed broadband at home, greater self-reported ability using the Internet, and routinely going online. By 18 months, 91% participants had logged in to the portal, and no significant associations were found between usage and demographics, health status, or patient activation. When examining portal activity between 6 and 18 months, patients who were infrequent or high portal users remained in those categories, respectively.ConclusionsShort-term and long-term portal usage was associated with having broadband at home, high self-rated ability when using the Internet, and overall online behavior. Digital inclusion, or ready access to the Internet and digital skills, appears to be a social determinant in patient exposure to portal services.

Project description:IntroductionThe use of electronic health (eHealth) tools has the potential to support the overall health, wellness, fitness status, and ability to deploy worldwide of active duty service members (SMs). Additionally, the Coronavirus Disease 2019 pandemic forced healthcare organizations to quickly convert to virtual care settings to decrease face-to-face interactions and increase access to healthcare using technology. The shift to virtual care and the push to increase use of eHealth tools heightened the need to understand how military members interact with eHealth tools. Little is known about the factors that influence SMs use of eHealth tools and if having a health condition increases or decreases use. To evaluate these factors, we completed a cross-sectional, retrospective analysis on a sample of 198,388 active duty SMs aged 18 to 68 years.Materials and methodsWe used two Military Health System (MHS) data sources-Tricare Online (TOL) Patient Portal 2018 audit logs and outpatient electronic health record data. Using eHealth behaviors identified in the audit logs, we evaluated and compared individual characteristics (i.e., "gender", "age", "race", and "marital status"), environmental factors (i.e., "rank", "military branch", and "geographic location"), and six available health conditions (i.e., congenital health defects, amputation, anxiety, sleep, traumatic brain injury, and depression). Since moderate usage of eHealth tools is linked to improved health outcomes, adherence, communication, and increased consumer satisfaction, a logistic regression model was developed to find the factors most associated with moderate (3-11 logins per year) use of the portal.ResultsElectronic health use increased by SMs with underlying health conditions or if they were managing family member health. Most SMs who used the TOL Patient Portal were of ages 25-34 years, White, and married. The mean age is 32.53 for males and 29.98 for females. Over half of the TOL Patient Portal SM users utilized the portal one to two times. Most SMs used the TOL Patient Portal in Virginia, Texas, California, Florida, North Carolina, Georgia, and Maryland. The highest use was during the months of March to May. Frequent patient portal actions include searching for appointments, viewing health information, viewing medical encounters, and refilling medications. Although SMs with congenital health defects, anxiety, sleep issues, and depression have higher patient portal use rates, SMs with depression have a negative association with using the patient portal at a "moderate" rate. Viewing family member health information and searching for appointments were strongly associated with patient portal moderate use.ConclusionsOur findings support top military initiatives to improve the overall health, wellness, and readiness of SMs while decreasing the MHS's overall cost of care while providing a foundation to compare "pre" and "post" pandemic eHealth behaviors. It is essential to note that SMs are more likely to use a patient portal to seek information or manage family member health. This key factor identifies the significance of family health promotion and readiness in the active duty SM's life. The long-term goal of our study is to build the foundation for delivering tailored health information and eHealth tools to promote health and readiness-centric patient engagement.

Project description:BackgroundPatient portals offer patients access to their medical information and tools to communicate with health care providers. It has been shown that patient portals have the potential to positively impact health outcomes and efficiency of health care. It is therefore important that health care organizations identify the patients who use or do not use the patient portal and explore the reasons in either case. The Unified Theory of Acceptance and Use of Technology (UTAUT) is a frequently used theory for explaining the use of information technology. It consists of the following constructs: performance expectancy, effort expectancy, social influence, facilitating conditions, and behavioral intention to use.ObjectiveThis study aimed to explore the prevalence of patient portal use and the characteristics of patients who use or do not use a patient portal. The main constructs of UTAUT, together with demographics and disease- and care-related characteristics, have been measured to explore the predictive factors of portal use.MethodsA cross-sectional study was conducted in the outpatient departments for adult patients of a university hospital in the Netherlands. Following outcomes were included: self-reported portal use, characteristics of users such as demographics, disease- and care-related data, eHealth literacy (modified score), and scores of UTAUT constructs. Descriptive analyses and univariate and multivariate logistic regression were also conducted.ResultsIn the analysis, 439 adult patients were included. Furthermore, 32.1% (141/439) identified as being a user of the patient portal; 31.2% (137/439) indicated as nonusers, but being aware of the existence of the portal; and 36.6% (161/439) as being nonusers not aware of the existence of the portal. In the entire study population, the factors of being chronically ill (odds ratio, OR 1.62, 95% CI 1.04-2.52) and eHealth literacy (modified score; OR 1.12, 95% CI 1.07-1.18) best predicted portal use. In users and nonusers who were aware of the portal, UTAUT constructs were added to the multivariate logistic regression, with chronically ill and modified eHealth literacy sum score. Effort expectancy (OR 13.02, 95% CI 5.68-29.87) and performance expectancy (OR 2.84, 95% CI 1.65-4.90) are shown to significantly influence portal use in this group.ConclusionsApproximately one-third of the patients of a university hospital self-reported using the patient portal; most expressed satisfaction. At first sight, being chronically ill and higher scores on the modified eHealth literacy scale explained portal use. Adding UTAUT constructs to the model revealed that effort expectancy (ease of use and knowledge and skills related to portal use) and performance expectancy (perceived usefulness) influenced portal use. Interventions to improve awareness of the portal and eHealth literacy skills of patients and further integration of the patient portal in usual face-to-face care are needed to increase use and potential subsequent patient benefits.

Dataset Information

Difference Between Users and Nonusers of a Patient Portal in Health Behaviors and Outcomes: Retrospective Cohort Study.

Publications

Difference Between Users and Nonusers of a Patient Portal in Health Behaviors and Outcomes: Retrospective Cohort Study.

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