Patient Portal Use Research Articles

Determinants of Telehealth Technologies in a Rural Population.

Background: Telehealth's applicability may be limited for vulnerable populations including rural communities. While broadband access is a known barrier to telehealth use, other factors may influence a person's ability or preference to use telehealth. Objective/Purpose: To compare characteristics of telehealth users versus nontelehealth users in a rural health care network. Methods: We surveyed a stratified random sample of 500 adult patients in August 2021 about telehealth use. We used descriptive statistics to compare characteristics of telehealth users with nontelehealth users. Telehealth was defined in three different ways as follows: (1) phone or video visit, (2) video visit, and (3) patient portal use. Results: Mean age of the 206 respondents was 60 years, 60.7% were female, 60.4% had some college education; 84.9% had home internet, and 73.3% used the internet independently. Video telehealth use was independently associated with younger age (<65), having some college education, being married/partnered, and being enrolled in Medicaid. When telehealth included a phone option, disability was positively associated with telehealth use, and living in a rural town versus metropolitan/micropolitan area was negatively associated with telehealth use. Being younger, married/partnered, and having some college education were significantly associated with patient portal use. Conclusion: Videoconferencing and patient portal use pose barriers to those who are older and have less education. However, these barriers disappear when telehealth is available through telephone.

Patient-reported outcomes for oral oncolytic therapy: A pilot study utilizing an electronic patient portal in a community cancer center.

A pilot project was initiated to determine the feasibility of using an electronic patient portal, MyChart, for documentation of patient-reported outcomes for those receiving treatment with an oral oncolytic. Documentation of patient-reported outcomes within the electronic medical record before and after implementing questionnaires through the use of MyChart was compared. Additional outcomes that were assessed included patient confidence and satisfaction, adherence rate, side effects, and documentation of provider interventions. Our findings indicate that the use of an electronic patient portal significantly increased the number of encounters documented within the electronic medical record from 1.8% (N = 19 patients; 1 out of 55 potential encounters; retrospective analysis) to 27.5% (N = 15 patients; 14 out of 51 potential encounters; prospective analysis) for those who utilized an electronic patient portal (p < 0.001). Patient confidence and satisfaction were high, the adherence rate was 100% at 4 months, and side effects were generally mild. Provider follow-up was documented in the electronic medical record in 6 out of 8 patients when a flagged response was identified. This pilot study indicates that the use of an electronic patient portal, MyChart, was feasible and improved documentation of patient-reported outcomes within the electronic medical record. Several information technologies and patient barriers were encountered throughout. Careful selection of patients who will embrace this technology is important.

Using Machine Learning Algorithms to Predict Patient Portal Use Among Emergency Department Patients With Diabetes Mellitus.

Different machine learning (ML) technologies have been applied in healthcare systems with diverse applications. We aimed to determine the model feasibility and accuracy of predicting patient portal use among diabetic patients by using six different ML algorithms. In addition, we also compared model performance accuracy with the use of only essential variables. This was a single-center retrospective observational study. From March 1, 2019 to February 28, 2020, we included all diabetic patients from the study emergency department (ED). The primary outcome was the status of patient portal use. A total of 18 variables consisting of patient sociodemographic characteristics, ED and clinic information, and patient medical conditions were included to predict patient portal use. Six ML algorithms (logistic regression, random forest (RF), deep forest, decision tree, multilayer perception, and support vector machine) were used for such predictions. During the initial step, ML predictions were performed with all variables. Then, the essential variables were chosen via feature selection. Patient portal use predictions were repeated with only essential variables. The performance accuracies (overall accuracy, sensitivity, specificity, and area under receiver operating characteristic curve (AUC)) of patient portal predictions were compared. A total of 77,977 unique patients were placed in our final analysis. Among them, 23.4% (18,223) patients were diabetic mellitus (DM). Patient portal use was found in 26.9% of DM patients. Overall, the accuracy of predicting patient portal use was above 80% among five out of six ML algorithms. The RF outperformed the others when all variables were used for patient portal predictions (accuracy 0.9876, sensitivity 0.9454, specificity 0.9969, and AUC 0.9712). When only eight essential variables were chosen, RF still outperformed the others (accuracy 0.9876, sensitivity 0.9374, specificity 0.9932, and AUC 0.9769). It is possible to predict patient portal use outcomes when different ML algorithms are used with fair performance accuracy. However, with similar prediction accuracies, the use of feature selection techniques can improve the interpretability of the model by addressing the most relevant features.

Desires for Individual- and Interpersonal-Level Patient Portal Use for HIV Prevention Among Urban Sexual Minority Men: Cross-sectional Study.

Gay, bisexual, and other sexual minority men have expressed the acceptability of patient portals as tools for supporting HIV prevention behaviors, including facilitating disclosure of HIV and other sexually transmitted infection (STI/HIV) laboratory test results to sex partners. However, these studies, in which Black or African American sexual minority men were undersampled, failed to determine the relationship of reported history of discussing HIV results with sex partners and anticipated willingness to disclose web-based STI/HIV test results using a patient portal. Among a sample of predominantly Black sexual minority men, this study aimed to (1) determine preferences for patient portal use for HIV prevention and (2) test the associations between reported history of discussing HIV results and anticipated willingness to disclose web-based STI/HIV test results with most recent main and nonmain partners using patient portals. Data come from audio-computer self-assisted interview survey data collected during the 3-month visit of a longitudinal cohort study. Univariate analysis assessed patient portal preferences by measuring the valuation rankings of several portal features. Multiple Poisson regression models with robust error variance determined the associations between history of discussing HIV results and willingness to disclose those results using web-based portals by partner type, and to examine criterion validity of the enhancing dyadic communication (EDC) scale to anticipated willingness. Of the 245 participants, 71% (n=174) were Black and 22% (n=53) were White. Most participants indicated a willingness to share web-based STI/HIV test results with their most recent main partner. Slightly fewer, nonetheless a majority, indicated a willingness to share web-based test results with their most recent nonmain partner. All but 2 patient portal features were valued as high or moderately high priority by >80% of participants. Specifically, tools to help manage HIV (n=183, 75%) and information about pre- and postexposure prophylaxis (both 71%, n=173 and n=175, respectively) were the top-valuated features to include in patient portals for HIV prevention. Discussing HIV test results was significantly associated with increased prevalence of willingness to disclose web-based test results with main (adjusted prevalence ratio [aPR] 1.46, 95% CI 1.21-1.75) and nonmain partners (aPR 1.54, 95% CI 1.23-1.93). Our findings indicate what features Black sexual minority men envision may be included in the patient portal's design to optimize HIV prevention, further supporting the criterion validity of the EDC scale. Efforts should be made to support Black sexual minority men's willingness to disclose STI/HIV testing history and status with partners overall as it is associated significantly with a willingness to disclose testing results digitally via patient portals. Future studies should consider discussion behaviors regarding past HIV test results with partners when tailoring interventions that leverage patient portals in disclosure events.

15. Association Between Adolescent Patient Portal Use for Secure Messaging and Access to Sexual and Reproductive Health Services in a Health System

15. Association Between Adolescent Patient Portal Use for Secure Messaging and Access to Sexual and Reproductive Health Services in a Health System

Digital healthcare equity in primary care: implementing an integrated digital health navigator.

The 21st Century Cures Act and the rise of telemedicine led to renewed focus on patient portals. However, portal use disparities persist and are in part driven by limited digital literacy. To address digital disparities in primary care, we implemented an integrated digital health navigator program supporting portal use among patients with type II diabetes. During our pilot, we were able to enroll 121 (30.9%) patients onto the portal. Of newly enrolled or trained patients, 75 (62.0%) were Black, 13 (10.7%) were White, 23 (19.0%) were Hispanic/Latinx, 4 (3.3%) were Asian, 3 (2.5%) were of another race or ethnicity, and 3 (2.5%) had missing data. Our overall portal enrollment for clinic patients with type II diabetes increased for Hispanic/Latinx patients from 30% to 42% and Black patients from 49% to 61%. We used the Consolidated Framework for Implementation Research to understand key implementation components. Using our approach, other clinics can implement an integrated digital health navigator to support patient portal use.

Views on patient portal use for adolescents in mental health care - a qualitative study

BackgroundDigitalization of health care has opened up for new ways to involve and engage patients. With this, increased attention has been put on digital patient portals. There exists some research on patient portals for adolescent patients in general and for adults in mental health care. However, no studies on patient portals for adolescents in mental health care have been identified in a recent review. The aim was therefore to explore the views on using patient portals for adolescents in mental health care among persons involved in and/or being affected by the introduction of a patient portal.MethodsA qualitative study was conducted using individual semi-structured interviews with 14 persons who were healthcare providers in child and adolescent mental health care, young representatives from the user panel, or persons affiliated with an EHR-project introducing a patient portal. The main questions addressed their views on introducing patient portals for adolescents in mental health care and how patient portals and access to clinical notes can affect them and their treatment.ResultsThe findings were categorised into four main themes; “Does access to a patient portal help or harm adolescents?”, “Who decides access?”, “Mostly a political goal” and “Need for support and competency”. Informants mentioned situations in which both adolescents’ and parents’ access to a patient portal could help adolescents in mental health care, but also where it could potentially harm their treatment and threaten confidentiality. Most informants thought that healthcare providers should have the autonomy to determine which information should be shared with whom, but also requested guidelines to ensure equal practice and support in difficult situations. Some perceived patient portals as the result of a political decision, rather than healthcare providers´ wishes, while others described it as a necessary development towards democratization.ConclusionThe informants’ views varied from thinking that a patient portal could support adolescents in mental health care, to worrying that it could be detrimental to the treatment. Informants emphasized that the management should facilitate training and support for healthcare providers in using patient portals and telehealth.

The status of patient portal use among Emergency Department patients experiencing houselessness: A large-scale single-center observational study

ObjectivePatient portal (PP) use has rapidly increased in recent years. However, the PP use status among houseless patients is largely unknown. We aim to determine 1) the PP use status among Emergency Department (ED) patients experiencing houselessness, and 2) whether PP use is linked to the increase in patient clinic visits. MethodsThis is a single-center retrospective observational study. From March 1, 2019, to February 28, 2021, houseless patients who presented at ED were included. Their PP use status, including passive PP use (log-on only PP) and effective PP use (use PP of functions) was compared between houseless and non-houseless patients. The number of clinic visits was also compared between these two groups. Lastly, a multivariate logistic regression was analyzed to determine the association between houseless status and PP use. ResultsWe included a total of 236,684 patients, 13% of whom (30,956) were houseless at time of their encounter. Fewer houseless patients had effective PP use in comparison to non-houseless patients (7.3% versus 11.6%, p < 0.001). In addition, a higher number of clinic visits were found among houseless patients who had effective PP use than those without (18 versus 3, p < 0.001). The adjusted odds ratio of houseless status associated with PP use was 0.48 (95% CI 0.46–0.49, p < 0.001). ConclusionsHouselessness is a potential risk factor preventing patient portal use. In addition, using patient portals could potentially increase clinic visits among the houseless patient population.

EHealth Literacy and Patient Portal Use and Attitudes: Cross-sectional Observational Study.

Throughout the COVID-19 pandemic, patient portals have become more widely used tools of patient care delivery. However, not all individuals have equivalent access or ability to use patient portals. The aim of this study is to evaluate the relationships between eHealth literacy (eHL) and patient portal awareness, use, and attitudes among hospitalized patients. Inpatients completed patient portal surveys; eHL was assessed (eHealth Literacy Scale). Multivariable logistic regression analyses adjusted for age, self-reported race, gender, and educational attainment were completed with significance at P<.006 (Bonferroni correction). Among 274 participants, most identified as Black (n=166, 61%) and female (n=140, 51%), mean age was 56.5 (SD 16.7) years, and 178 (65%) reported some college or higher educational attainment. One-quarter (n=79, 28%) had low eHL (mean 27, SD 9.5), which was associated with lower odds of portal access awareness (odds ratio 0.11, 95% CI 0.05-0.23; P<.001), having ever used portals (odds ratio 0.19, 95% CI 0.10-0.36; P<.001), less perceived usefulness of portals (odds ratio 0.20, 95% CI 0.10-0.38; P=.001), and lower likelihood of planning to use portals in the coming years (odds ratio 0.12, 95% CI 0.06-0.25; P<.001). As time through the COVID-19 pandemic passed, there was a trend toward increased perceived usefulness of patient portals (53% vs 62%, P=.08), but average eHL did not increase through time (P=.81). Low eHL was associated with less awareness, use, and perceived usefulness of portals. Perceived usefulness of portals likely increased through the COVID-19 pandemic, but patients' eHL did not. Interventions tailored for patients with low eHL could ensure greater equity in health care delivery through the COVID-19 pandemic.

A Multi-Level Analysis of Individual and Neighborhood Factors Associated with Patient Portal Use among Adult Emergency Department Patients with Multimorbidity.

Patient portals tethered to electronic health records (EHR) have become vital to patient engagement and better disease management, specifically among adults with multimorbidity. We determined individual and neighborhood factors associated with patient portal use (MyChart) among adult patients with multimorbidity seen in an Emergency Department (ED). This study adopted a cross-sectional study design and used a linked database of EHR from a single ED site to patients' neighborhood characteristics (i.e., zip code level) from the American Community Survey. The study population included all adults (age &gt; 18 years), with at least one visit to an ED and multimorbidity between 1 January 2019 to 31 December 2020 (N = 40,544). Patient and neighborhood characteristics were compared among patients with and without MyChart use. Random-intercept multi-level logistic regressions were used to analyze the associations of patient and neighborhood factors with MyChart use. Only 19% (N = 7757) of adults with multimorbidity used the patient portal. In the fully adjusted multi-level model, at the patient level, having a primary care physician (AOR = 5.55, 95% CI 5.07-6.07, p &lt; 0.001) and health insurance coverage (AOR = 2.41, 95% CI 2.23-2.61, p &lt; 0.001) were associated with MyChart use. At the neighborhood level, 4.73% of the variation in MyChart use was due to differences in neighborhood factors. However, significant heterogeneity existed in patient portal use when neighborhood characteristics were included in the model. Among ED patients with multimorbidity, one in five adults used patient portals. Patient-level factors, such as having primary care physicians and insurance, may promote patient portal use.

Patient Engagement in Patient Portals in Appalachia v. Surrounding U.S. Census Regions: An Analysis of HINTS (Health Information National Trends Survey) Data, 2017-2020.

Those living in the Appalachian Region face a greater number of significant health disparities than residents of other areas of the U.S. Patient portals can decrease disparities, increase health literacy, and improve health outcomes. This study explores if those living in the Appalachian Region are offered access to and use their patient portals differently than those in the surrounding U.S. Census regions. Additionally, the study aims to determine if there was a difference in reported reasons for the non-use of patient portals. A secondary analysis was completed using data from the National Cancer Institute's Health Information National Trends Survey (HINTS) (2017-2020), a nationally representative survey. Descriptive statistics and chi-square tests were used to determine differences in patient portal use between regions. There was no statistically significant difference between the Appalachian and surrounding U.S. Census regions in being offered access to patient portals. However, there was a statistically significant difference (non-weighted) between regions in the use of patient portals. Common reasons for the non-use of patient portals were a preference to speak directly to the provider and the lack of perceived need to use the portal. Providers in the Appalachian Region should be aware of the non-use of patient portals. Moreover, understanding the reported reasons for non-use may help providers tailor educational materials to increase patient portal use.

The association between information technology sophistication and patient portal use: A cross sectional study in Eastern North Carolina.

Even with the extolled benefits of patient portals, there has been some challenges to ensuring patient portal use. This study examines if a patient's level of information technology (IT) sophistication, defined as the degree of use of diverse information technologies by an individual, is associated with their use of a patient portal. Patients previous experience and exposure to other similar technologies like desktop computer, laptop, internet, smart phone, or social media explains their willingness to use information technology for their health. Data on a cross-sectional survey of 565 individuals in Eastern NC was available for analysis. Multinomial regression analyses revealed that IT sophistication is important in determining whether patients will use a patient portal. It specifies that patients with low IT sophistication compared to those with high IT sophistication were more likely to have never activated their patient portals (RRR = 2.2155, p < 0.009), or to have activated but never used a patient portal (RRR = 3.5869, p < 0.010). The findings of this study should aid healthcare leaders as they strive to improve patient engagement. They should continue to promote the benefits of the patient portal and consider offering personalized support programs for patients with low IT sophistication.

Trends in telehealth use among a cohort of rural patients during the COVID-19 pandemic.

Rural populations faced unique challenges to healthcare access during the COVID-19 pandemic. This analysis assesses trends in digital health technology use at the onset of the pandemic and describes digital health behaviors among a cohort of patients within a rural integrated healthcare network throughout the first 3 years of the pandemic. We used data from both the electronic health record (EHR) and a patient survey. EHR data was used to longitudinally assess change over time in patient portal use and telehealth visits. Survey responses were used to provide additional context. Telehealth appointments peaked in the first quarter of 2020 at 28% of all office visits, before leveling off to 8-10% in 2022. Women and those younger than 65 were more likely to have participated in telehealth appointments. Active patient portal users increased from 34.1% in January 2019 to 63.7% in January 2022. There were no differences noted in portal use trends based on rurality. Our findings corroborate previous research, as well as add context regarding digital health technology use throughout the COVID pandemic in a rural patient population. Future research must focus on understanding constraints to digital health expansion in order to continue providing safe, equitable care.

Use of provider-sponsored patient portals among older adults and their family caregivers.

Millions of older adults co-manage or delegate health responsibilities to one or more family caregivers. Patient portals facilitate health care management tasks, but little is known about portal use arrangements (i.e., individual or joint use) among older adults and their caregivers. We sought to characterize individual and joint use of the patient portal and to identify how using arrangements varies by individual-, interpersonal-, and community-level factors. We used linked 2017 National Health and Aging Trends Study, National Study on Caregiving, and American Community Survey data for a nationally representative sample of older adults (n=1417; weighted n=7.4 million) and their caregivers (n=2232; weighted n=20.6 million). Patient portals used by older adults and caregiver(s) were assessed via self-reports. We described portal use arrangements and tested for between-group differences using weighted Wald tests. Caregiver's likelihood of accessing the portal was modeled using weighted, multivariable logistic regression. One in ten (10%) community-living older adults were sole portal users, 3% were joint users with one or more caregivers, 14% solely relied on one or more caregivers as portal users, and 74% reported no portal use. Older adults whose portal was only used by caregiver(s) were more likely to be Medicaid-enrolled (20% vs. 1%; p < 0.001), have dementia (43% vs. 5%; p < 0.001), and be homebound (65% vs. 27%; p < 0.001). Caregivers were more likely to use the portal if they were college-educated adjusted odds ratio (aOR): 1.68; p < 0.01) and reported caregiving-related emotional difficulty (aOR: 1.92; p < 0.001) and doing more than their "fair share" (aOR: 1.48; p=0.03), and were less likely if Black (versus White) (aOR: 0.61; p=0.01). Patient portals could be a valuable platform for identifying and supporting caregivers of high-need older adults, but existing disparities in portal access must be closed to ensure equitable support.

The Role of Access Type and Age Group in the Breadth of Use of Patient Portals: Observational Study

Health care delivery and patient satisfaction are improved when patients engage with their medical information through patient portals. Despite their wide availability and multiple functionalities, patient portals and their functionalities are still underused. We seek to understand factors that lead to patient engagement through multiple portal functionalities. We provide recommendations that could lead to higher patients' usage of their portals. Using data from the Health Information National Trends Survey 5, Cycle 3 (N=2093), we performed descriptive statistics and used a chi-square test to analyze the association between the demographic variables and the use of mobile health apps for accessing medical records. We further fitted a generalized linear model to examine the association between access type and the use of portal functionalities. We further examined the moderation effects of age groups on the impact of access type on portal usage. Our results show that accessing personal health records using a mobile health app is positively associated with greater patient usage of access capabilities (β=.52; P<.001), patient-provider interaction capabilities (β=.24, P=.006), and patient-personal health information interaction capabilities (β=.23, P=.009). Patients are more likely to interact with their records and their providers when accessing their electronic medical records using a mobile health app. The impacts of mobile health app usage fade with age for tasks consisting of viewing, downloading, and transmitting medical results to a third party (β=-.43, P=.005), but not for those involving patient-provider interaction (β=.05, P=.76) or patient-personal health information interaction (β=-.15, P=.19). These findings provide insights on how to increase engagement with diverse portal functionalities for different age groups and thus improve health care delivery and patient satisfaction.

Remote Care Adoption in Underserved Congenital Heart Disease Patients During the COVID-19 Era.

The COVID-19 pandemic restricted in-person appointments and prompted an increase in remote healthcare delivery. Our goal was to assess access to remote care for complex pediatric cardiology patients. We performed a retrospective chart review of Texas Children's Hospital (TCH) pediatric cardiology outpatient appointments from March 2020 to December 2020 for established congenital heart disease (CHD) patients 1 to 17 yo. Primary outcome variables were remote care use of telemedicine and patient portal activation. Primary predictor variables were age, sex, insurance, race/ethnicity, language, and location. Descriptive statistics were used to analyze patient demographics. Multivariate logistic regression determined associations with remote care use (p < 0.05). We identified 5,410 established patients with clinic appointments during the identified timeframe. Adopters of telemedicine included 13% of patients (n = 691). Of the prior non patient portal users, 4.5% activated their accounts. On multivariate analysis, older age (10-17 yo) was associated with increased telemedicine (OR 2.04, 95%CI 1.71, 2.43) and patient portal use (OR 1.70, 95%CI 1.33, 2.17). Public insurance (OR 1.66, 95%CI 1.25, 2.20) and Spanish speaking were associated with increased patient portal adoption. Race/ethnicity was not significantly associated with telemedicine use or patient portal adoption. Telehealth adoption among older children may be indicative of their ability to aid in the use of these technologies. Higher participation in patient portal activation among publicly insured and Spanish speaking patients is encouraging and demonstrates ability to navigate some degree of remote patient care. Adoption of remote patient care may assist in reducing access to care disparities.

MEET THE END-OF-LIFE CARE EXPERTS: INSIGHTS FROM FORMER CAREGIVERS OF OLDER ADULTS LIVING WITH SERIOUS ILLNESS

Abstract High-quality end-of-life care relies on the collective efforts of professional care providers and family caregivers; however, care practice development is rarely guided by experiential perspectives of former family caregivers (i.e., those whose care recipient has died). Former family caregivers typically carry rich, untapped insight into what works well, and what still does not, in end-of-life care. While current caregivers sometimes describe being over-burdened and unable to engage meaningfully in research, former caregivers express the desire to share insights and lessons learned to improve the experiences of future caregivers. Grounded in research methodologies which leverage insights from participants (e.g., qualitative analysis, community-based participatory research), this symposium draws on perspectives of former caregivers of seriously ill older adults to enhance end-of-life care practices, improve intervention designs, and enrich research agendas. First, Dr. Emily Mroz will describe the pathways by which recent caregiving experiences for parents living with dementia shape former caregivers’ perspectives on, and engagement in, their own end-of-life care planning. Next, Emika Miller will characterize the advance care planning perspectives of former family caregivers of African Americans who lived with dementia, highlighting areas for improvement in culturally-tailored interventions. Lastly, Jennifer Dickman Portz will present on caregivers’ use of patient portals near their care recipient’s end-of-life. Our discussant, Karen Moss, will lead us in conversation by outlining the unique value added to end-of-life care research when incorporating perspectives of former caregivers from diverse backgrounds. She will also describe future directions in caregiver-informed end-of-life interventions, practices, and policies to improve end-of-life care outcomes.

HOW CAN PATIENT PORTALS SUPPORT CAREGIVERS PROVIDING END-OF-LIFE CARE?: A MIXED-METHODS STUDY

Abstract Patient portal design is rarely centered around patient caregivers—family members, friends and other designated persons who may access these digital tools for the patient’s health needs. This study examines: (a) portal features used by caregivers during their loved-one’s end-of-life; and (b) caregiver perceptions regarding the use of patient portals for caregiving near the end-of-life.Using sequential mixed-methods, we conducted a retrospective cohort analysis of caregiver proxy (N=137) use from 2016-2019 during their loved-ones’ (N=5,284) last 12 months of life and interviews with (N=31) 16-former and 15-current caregiver proxies. Caregiver proxy portal use in this population was lower than expected; however, caregivers who used the portal as proxies found value in tools for caregiving near the end-of-life. To leverage the patient portal to better support caregivers, future strategies should target caregiver portal adoption, awareness of beneficial portal tools, and the addition of caregiver specific resources and education.

1976. Using a Patient Portal as a Recruitment Tool to Diversify the Pool of Participants in COVID-19 Vaccine Clinical Trials

Abstract Background Because the COVID-19 pandemic disproportionately affected racial/ethnic minorities in the US, there was a push to ensure diversity in COVID-19 vaccine clinical trials. Historically, minority groups have been underrepresented in research. We assessed the feasibility of recruiting racial/ethnic minorities through an electronic health record (EHR) patient portal. Methods The UPenn Health System EHR was used to identify individuals ages 40 and older, living in zip codes with high rates of SARS-CoV-2 test positivity, with a risk factor associated with severe COVID-19 disease. Eligible individuals with an activated patient portal account were sent a message inviting them to participate in the COVID-19 vaccine clinical trial. A follow-up phone call was made to those who did not respond or declined, and reasons for or against participation were coded to extract themes. Results In August 2020, a total of 13,779 patients fit the inclusion criteria, of which 5,614 (40.7%) had an activated patient portal account and were invited to participate. The majority, 5,426 (96.7%), identified as black, and 73 (1.3%) identified as Hispanic/Latinx. Only 301 (5.4%) of messaged individuals responded. Among respondents, 55 of 206 (26.7%) blacks, 5 of 7 (71.4%) Hispanic/Latinx, and 50 of 76 (65.8%) whites expressed interest. Among the 115 respondents who expressed interest, 24 agreed to a screening visit, and 9 were ultimately enrolled in the trial, which consisted of 6 black, 3 white, and 1 Hispanic/Latinx individual. During phone outreach to those who did not respond and those who declined, common reasons for declining included underlying health conditions, fears of an unproven vaccine, not wanting to be experimented upon, the rapid speed of vaccine development, and the lack of time to participate in a trial. Patient portal response rates by race/ethnicity Conclusion Because of low rates of patient portal account activation and use, compounded with vaccine hesitancy, recruitment of racial/ethnic minorities into COVID-19 vaccine clinical trials through patient portal messaging yielded a small number of participants. Strategies to increase use of the patient portal combined with approaches to address concerns of trial participation should be considered to increase enrollment of racially/ethnically diverse groups into vaccine clinical trials. Disclosures All Authors: No reported disclosures.

Reduction of No-Show Rate for New Patients in a Pediatric Neurology Clinic.

The rate of patients not keeping their appointments at our children's hospital outpatient pediatric neurology clinic (no-shows) was high. We conducted a quality improvement project to reduce no-show rates and improve operational efficiency. Specifically, we aimed to decrease the new patient no-show mean rate from 7% to 4% at the main campus and from 17% to 12% at the south campus. After reviewing the previous literature on this topic and institutional data, we used the simplified failure mode and effects analysis (sFMEA) to identify the key drivers. Of the patients at the main campus who failed to keep their appointment, 84% had not confirmed their appointment. Errors in inpatient/family contact information, limited use of the electronic patient portal, and miscommunication were other key drivers identified. Three Plan-Do-Study-Act (PDSA) cycles were completed over seven months. The key interventions we implemented were bidirectional text triage, telephone reminders, and promoting the use of the electronic patient portal. A run chart was used to assess the results of these interventions. A statistically significant shift was noted in the run chart for the median rate of no-shows, which declined from 7% to 4% at the main campus and 17% to 10% at the south campus. We were able to successfully reduce no-shows among new patients in the neurology clinic. The limitations of our study include unknown external factors, the potential impact of COVID-19, and the brief length of the study.