Differential utilization of the online patient portal for completion of health-related social needs screening during routine gynecologic cancer care.

BACKGROUND: Telehealth technologies offer efficient ways to deliver health-related social needs (HRSN) screening in cancer care, but these methods may not reach all populations. The authors examined patient characteristics associated with using an online patient portal (OPP) to complete HRSN screening as part of gynecologic cancer care. METHODS: From June 2021 to June 2023, patients in a gynecologic oncology clinic completed validated HRSN screening questions either (1) using the OPP (independently before the visit) or (2) in person (verbally administered by clinic staff). The authors examined the prevalence of HRSN according to activated OPP status and, in a restricted subgroup, used stepwise multivariate Poisson regression to identify associations between patient and visit characteristics and using the OPP. RESULTS: Of 1616 patients, 87.4% (n = 1413) had an activated OPP. Patients with inactive OPPs (vs. activated OPPs) more frequently reported two or more needs (10% vs 5%; p < .01). Of 986 patients in the restricted cohort, 52% used the OPP to complete screening. The final multivariable model indicated that patients were less likely to use the OPP if they were Black (vs. White; adjusted relative risk [aRR], 0.70; 95% confidence interval [CI], 0.59-0.83); not employed (vs. employed; aRR, 0.81; 95% CI, 0.68-0.97), or had low measures of OPP engagement (aRR, 0.80; 95% CI, 0.68-0.92). New versus established patients were 21% more likely to use the OPP (aRR, 1.21; 95% CI, 1.06-1.38). CONCLUSIONS: Differential use of the OPP suggested that over-reliance on digital technologies could limit the ability to reach those populations that have social factors already associated with cancer outcome disparities. Cancer centers should consider using multiple delivery methods for HRSN screening to maximize reach to all populations.

Patient-Portal Compared with Supplemental In-Office Tablet Screening for Health-Related Social Needs in Primary Care.

BACKGROUND: Screening for health-related social needs (HRSN) has become more widespread but the best method of delivering the screening tool is not yet known. OBJECTIVE: Describe HRSN screening completion rate, specifically portal-based and in-person tablet-based screening. DESIGN: Cross-sectional retrospective observational study. PARTICIPANTS: Adults age 18 or older who had a non-acute primary care visit at one of three internal medicine primary care clinics at a large, urban, academic medical center between July 2022 and July 2023. MAIN MEASURES: We identified the proportion of individuals who were screened using the HRSN questionnaire, whether screening was completed by patient-portal or tablet, as well as the degree of burden of HRSN. Using the electronic health record, we explored associations between sociodemographic characteristics and HRSN attributes. KEY RESULTS: Our study included 24,597 patients, of whom 37% completed the HRSN questionnaire. A smaller proportion of Black/African American patients and those with Medicaid insurance completed the questionnaire, yet they comprised a greater percentage of those who screened positive for unmet HRSN (p ≤ 0.001). Most patients completed the questionnaire by patient-portal (86.1%) compared with in-office tablets (14.0%). A larger proportion of those who completed screening by tablet screened positive for HRSN. Of all patients screened, 21.8% were positive for an unmet HRSN and 11.5% had more than one unmet HRSN. CONCLUSIONS: A majority of patients are not being screened for HRSN and results illustrate disparities when screening patients for HRSN through portal-based compared with supplemental in-office tablet-based screening. Prevalence of unmet HRSN varied by demographics such as race and insurance status.

More Tethered to the EHR: EHR Workload Trends Among Academic Primary Care Physicians, 2019-2023.

PURPOSE: The purpose of this study is to evaluate recent trends in primary care physician (PCP) electronic health record (EHR) workload. METHODS: This longitudinal study observed the EHR use of 141 academic PCPs over 4 years (May 2019 to March 2023). Ambulatory full-time equivalency (aFTE), visit volume, and panel size were evaluated. Electronic health record time and inbox message volume were measured per 8 hours of scheduled clinic appointments. RESULTS: From the pre-COVID-19 pandemic year (May 2019 to February 2020) to the most recent study year (April 2022 to March 2023), the average time PCPs spent in the EHR per 8 hours of scheduled clinic appointments increased (+28.4 minutes, 7.8%), as did time in orders (+23.1 minutes, 58.9%), inbox (+14.0 minutes, 24.4%), chart review (+7.2 minutes, 13.0%), notes (+2.9 minutes, 2.3%), outside scheduled hours on days with scheduled appointments (+6.4 minutes, 8.2%), and on unscheduled days (+13.6 minutes, 19.9%). Primary care physicians received more patient medical advice requests (+5.4 messages, 55.5%) and prescription messages (+2.3, 19.5%) per 8 hours of scheduled clinic appointments, but fewer patient calls (-2.8, -10.5%) and results messages (-0.3, -2.7%). While total time in the EHR continued to increase in the final study year (+7.7 minutes, 2.0%), inbox time decreased slightly from the year prior (-2.2 minutes, -3.0%). Primary care physicians' average aFTE decreased 5.2% from 0.66 to 0.63 over 4 years. CONCLUSIONS: Primary care physicians' time in the EHR continues to grow. While PCPs' inbox time may be stabilizing, it is still substantially higher than pre-pandemic levels. It is imperative health systems develop strategies to change the EHR workload trajectory to minimize PCPs' occupational stress and mitigate unnecessary reductions in effective physician workforce resulting from the increased EHR burden.

Improving Asthma Control Test completion rates across a multi-site pediatric pulmonary clinic network: a quality improvement initiative.

OBJECTIVE: Assessing asthma control is an essential part of the outpatient management of children with asthma and can be performed through validated questionnaires such as the Asthma Control Test (ACT). Systematic approaches to incorporating the ACT in outpatient visits are often lacking, contributing to inconsistent completion rates. We conducted a quality improvement initiative to increase the proportion of visits where the ACT is completed for children with asthma in our multi-site pediatric pulmonary clinic network. METHODS: We developed an intervention of sending the ACT questionnaire to patients and caregivers through the electronic patient portal to complete prior to their visits. This strategy was first piloted at one clinic beginning in July 2020 and then expanded to 5 other clinics in the network in October 2020. Our outcome measure was average monthly proportion of visits with a completed ACT, tracked using statistical process control charts. The process measure was method of ACT completion tracked using run charts. RESULTS: At the pilot clinic, average monthly completion rate rose within 3 months of the intervention from 27% to 72% and was sustained more than 22 months. Completion across all clinics increased from 57% pre-intervention to 76% post-intervention. Importantly, the intervention did not rely on clinic staff to administer the questionnaire and did not interfere with existing clinic flow. CONCLUSION: An intervention of delivering the ACT electronically to patients and caregivers for completion prior to visits led to a rapid and sustained improvement in ACT completion rates across a large, pediatric pulmonary clinic network.

Enhancing Patient Understanding of Laboratory Test Results: Systematic Review of Presentation Formats and Their Impact on Perception, Decision, Action, and Memory.

BACKGROUND: Direct access of patients to their web-based patient portal, including laboratory test results, has become increasingly common. Numeric laboratory results can be challenging to interpret for patients, which may lead to anxiety, confusion, and unnecessary doctor consultations. Laboratory results can be presented in different formats, but there is limited evidence regarding how these presentation formats impact patients' processing of the information. OBJECTIVE: This study aims to synthesize the evidence on effective formats for presenting numeric laboratory test results with a focus on outcomes related to patients' information processing, including affective perception, perceived magnitude, cognitive perception, perception of communication, decision, action, and memory. METHODS: The search was conducted in 3 databases (PubMed, Web of Science, and Embase) from inception until May 31, 2023. We included quantitative, qualitative, and mixed methods articles describing or comparing formats for presenting diagnostic laboratory test results to patients. Two reviewers independently extracted and synthesized the characteristics of the articles and presentation formats used. The quality of the included articles was assessed by 2 independent reviewers using the Mixed Methods Appraisal Tool. RESULTS: A total of 18 studies were included, which were heterogeneous in terms of study design and primary outcomes used. The quality of the articles ranged from poor to excellent. Most studies (n=16, 89%) used mock test results. The most frequently used presentation formats were numerical values with reference ranges (n=12), horizontal line bars with colored blocks (n=12), or a combination of horizontal line bars with numerical values (n=8). All studies examined perception as an outcome, while action and memory were studied in 1 and 3 articles, respectively. In general, participants' satisfaction and usability were the highest when test results were presented using horizontal line bars with colored blocks. Adding reference ranges or personalized information (eg, goal ranges) further increased participants' perception. Additionally, horizontal line bars significantly decreased participants' tendency to search for information or to contact their physician, compared with numerical values with reference ranges. CONCLUSIONS: In this review, we synthesized available evidence on effective presentation formats for laboratory test results. The use of horizontal line bars with reference ranges or personalized goal ranges increased participants' cognitive perception and perception of communication while decreasing participants' tendency to contact their physicians. Action and memory were less frequently studied, so no conclusion could be drawn about a single preferred format regarding these outcomes. Therefore, the use of horizontal line bars with reference ranges or personalized goal ranges is recommended to enhance patients' information processing of laboratory test results. Further research should focus on real-life settings and diverse presentation formats in combination with outcomes related to patients' information processing.

Sociotechnical Cross-Country Analysis of Contextual Factors That Impact Patients' Access to Electronic Health Records in 4 European Countries: Framework Evaluation Study.

BACKGROUND: The NORDeHEALTH project studies patient-accessible electronic health records (PAEHRs) in Estonia, Finland, Norway, and Sweden. Such country comparisons require an analysis of the sociotechnical context of these services. Although sociotechnical analyses of PAEHR services have been carried out in the past, a framework specifically tailored to in-depth cross-country analysis has not been developed. OBJECTIVE: This study aims to develop and evaluate a method for a sociotechnical analysis of PAEHRs that advances a framework for sociotechnical analysis of eHealth solutions first presented by Sittig and Singh. This first article in a series presents the development of the method and a cross-country comparison of the contextual factors that enable PAEHR access and use. METHODS: The dimensions of the framework for sociotechnical analysis were thoroughly discussed and extended in a series of workshops with international stakeholders, all being eHealth researchers focusing on PAEHRs. All countries were represented in the working group to make sure that important national perspectives were covered. A spreadsheet with relevant questions related to the studied services and the various dimensions of the sociotechnical framework was constructed and distributed to the 4 participating countries, and the project participants researched various national sources to provide the relevant data for the comparisons in the 10 sociotechnical dimensions. RESULTS: In total, 3 dimensions were added to the methodology of Sittig and Singh to separate clinical content from features and functions of PAEHRs and demonstrate basic characteristics of the different countries regarding national and regional steering of health care and information and communications technology developments. The final framework contained the following dimensions: metadata; hardware and software computing infrastructure; features and functions; clinical content shared with patients; human-computer interface; people; workflow and communication; the health care organization's internal policies, procedures, and culture; national rules, regulations, and incentives; system measurement and monitoring; and health care system context. The dimensions added during the study mostly concerned background information needed for cross-country comparisons in particular. Several similarities were identified among the compared countries, especially regarding hardware and software computing infrastructure. All countries had, for example, one national access point, and patients are provided a PAEHR automatically. Most of the differences could be identified in the health care system context dimension. One important difference concerned the governing of information and communications technology development, where different levels (state, region, and municipality) were responsible in different countries. CONCLUSIONS: This is the first large-scale international sociotechnical analysis of services for patients to access their electronic health records; this study compared services in Estonia, Finland, Norway, and Sweden. A methodology for such an analysis was developed and is presented to enable comparison studies in other national contexts to enable future implementations and evaluations of PAEHRs.

Equivalence of Alcohol Use Disorder Symptom Assessments in Routine Clinical Care When Completed Remotely via Online Patient Portals Versus In Clinic via Paper Questionnaires: Psychometric Evaluation.

BACKGROUND: The National Institute on Alcohol Abuse and Alcoholism (NIAAA) recommends the paper-based or computerized Alcohol Symptom Checklist to assess alcohol use disorder (AUD) symptoms in routine care when patients report high-risk drinking. However, it is unknown whether Alcohol Symptom Checklist response characteristics differ when it is administered online (eg, remotely via an online electronic health record [EHR] patient portal before an appointment) versus in clinic (eg, on paper after appointment check-in). OBJECTIVE: This study evaluated the psychometric performance of the Alcohol Symptom Checklist when completed online versus in clinic during routine clinical care. METHODS: This cross-sectional, psychometric study obtained EHR data from the Alcohol Symptom Checklist completed by adult patients from an integrated health system in Washington state. The sample included patients who had a primary care visit in 2021 at 1 of 32 primary care practices, were due for annual behavioral health screening, and reported high-risk drinking on the behavioral health screen (Alcohol Use Disorder Identification Test-Consumption score ≥7). After screening, patients with high-risk drinking were typically asked to complete the Alcohol Symptom Checklist-an 11-item questionnaire on which patients self-report whether they had experienced each of the 11 AUD criteria listed in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) over a past-year timeframe. Patients could complete the Alcohol Symptom Checklist online (eg, on a computer, smartphone, or tablet from any location) or in clinic (eg, on paper as part of the rooming process at clinical appointments). We examined sample and measurement characteristics and conducted differential item functioning analyses using item response theory to examine measurement consistency across these 2 assessment modalities. RESULTS: Among 3243 patients meeting eligibility criteria for this secondary analysis (2313/3243, 71% male; 2271/3243, 70% White; and 2014/3243, 62% non-Hispanic), 1640 (51%) completed the Alcohol Symptom Checklist online while 1603 (49%) completed it in clinic. Approximately 46% (752/1640) and 48% (764/1603) reported ≥2 AUD criteria (the threshold for AUD diagnosis) online and in clinic (P=.37), respectively. A small degree of differential item functioning was observed for 4 of 11 items. This differential item functioning produced only minimal impact on total scores used clinically to assess AUD severity, affecting total criteria count by a maximum of 0.13 criteria (on a scale ranging from 0 to 11). CONCLUSIONS: Completing the Alcohol Symptom Checklist online, typically prior to patient check-in, performed similarly to an in-clinic modality typically administered on paper by a medical assistant at the time of the appointment. Findings have implications for using online AUD symptom assessments to streamline workflows, reduce staff burden, reduce stigma, and potentially assess patients who do not receive in-person care. Whether modality of DSM-5 assessment of AUD differentially impacts treatment is unknown.

Design and implementation of a prototype radiotherapy menu in a patient portal.

PURPOSE: Radiotherapy patients often face undue anxiety due to misconceptions about radiation and their inability to visualize their upcoming treatments. Access to their personal treatment plans is one way in which pre-treatment anxiety may be reduced. But radiotherapy data are quite complex, requiring specialized software for display and necessitating personalized explanations for patients to understand them. Therefore, our goal was to design and implement a novel radiotherapy menu in a patient portal to improve patient access to and understanding of their radiotherapy treatment plans. METHODS: A prototype radiotherapy menu was developed in our institution's patient portal following a participatory stakeholder co-design methodology. Customizable page templates were designed to render key radiotherapy data in the portal's patient-facing mobile phone app. DICOM-RT data were used to provide patients with relevant treatment parameters and generate pre-treatment 3D visualizations of planned treatment beams, while the mCODE data standard was used to provide post-treatment summaries of the delivered treatments. A focus group was conducted to gather initial patient feedback on the menu. RESULTS: Pre-treatment: the radiotherapy menu provides patients with a personalized treatment plan overview, including a personalized explanation of their treatment, along with an interactive 3D rendering of their body, and treatment beams for visualization. Post-treatment: a summary of the delivered radiotherapy is provided, allowing patients to retain a concise personal record of their treatment that can easily be shared with future healthcare providers. Focus group feedback was overwhelmingly positive. Patients highlighted how the intuitive presentation of their complex radiotherapy data would better prepare them for their radiation treatments. CONCLUSIONS: We successfully designed and implemented a prototype radiotherapy menu in our institution's patient portal that improves patient access to and understanding of their radiotherapy data. We used the mCODE data standard to generate post-treatment summaries in a way that is easily shareable and interoperable.

Socioeconomic Disparities in Online Patient Portal Utilization Among Total Knee Arthroplasty Recipients.

BACKGROUND: Since 2021, the Centers for Medicare and Medicaid Services have mandated that patients have open access to their medical records. Many institutions use online portals, which allow patients to access their health information and communicate with care teams. Our research aimed to evaluate demographic patterns for online patient portal utilization in patients undergoing total knee arthroplasty (TKA). Further, we assessed if and how portal engagement contributes to perioperative outcomes. METHODS: This study retrospectively reviewed primary and elective TKA from 2017 to 2022 at a single academic institution. Patients were stratified into 2 groups based on their online portal status: activated (A) or not-activated (NA). Baseline characteristics and postoperative outcomes were collected from the electronic medical record and compared. RESULTS: In total, 10,995 patients were included: 8,330 (75.8%) were A and 2,625 (24.2%) were NA. The NA group was significantly older (P < .001); more likely to be Black (P < .001), women (P < .001), single/divorced/widowed (P < .001), non-English speaking (P < .001), and Medicare or Medicaid insured (P < .001); from zip codes with median incomes below $50,000 (P < .001), and more likely to be American Society of Anesthesiologists class III or IV (P < .001). Patient-reported outcome measure completion rates were significantly lower in the NA group (15.3 versus 47.7%, P < .001). Lengths of stay (LOS) were significantly higher in the NA group (2.7 versus 2.1 days, P < .001). The NA group was significantly more likely to be discharged to skilled nursing facilities (P < .001). Comparable rates of 90-day emergency department visits, readmissions, as well as 90-day and 2-year revisions, were observed across groups. CONCLUSIONS: There are significant disparities in online portal activation status based on patient demographics. Patients who have A portals had significantly higher Patient-reported outcome measure completion rates, shorter LOS, and higher rates of home discharge. Further research should determine which other factors may affect patient portal utilization and inform interventions to improve portal utilization among minority populations.

Factors Associated with Online Patient Portal Utilization Experience in an Arkansas Phone Survey.

Introduction: Accessing electronic health record information through a patient portal is associated with numerous benefits to both health care providers and patients. However, patient portal utilization remains low. Little is known about the factors associated with patient portal utilization following the onset of the COVID-19 pandemic. Methods: In March 2022, we conducted a random digit dial phone survey of both cell phones and landlines of adults living in Arkansas that asked numerous demographic and health-related measures, including patient portal utilization in the past 12 months. A total of 2,201 adult Arkansans completed the survey between March 1 and March 28, 2022. Weighted estimates were generated using rank ratio estimation to approximate the 2019 American Community Survey 1-year Arkansas estimates for race/ethnicity (72% White, 15% Black/African American, 7.8% Hispanic, 4.9% other race/ethnicity), age (73% 18-39, 32% 40-59, and 31% 60+), and gender (49% male, 51% female). We fit the data to a logistic regression model. Results: We found that education, employment, prior telehealth experience, having a check-up in the past 2 years, and having a primary care provider were all positively associated with patient portal utilization. We also found that non-Hispanic Black/African-American respondents were less likely to access a patient portal relative to non-Hispanic White respondents. Discussion: Patient portal utilization is related to several demographic and health-related factors among an adult population in Arkansas. Given that the documented benefits of patient portal utilization are broad, under-utilization by groups that already experience relatively worse health outcomes could reproduce or even exacerbate existing health disparities. Additional research is needed to further investigate what barriers to patient portal utilization remain for these populations.

Patient- and Provider-Level Factors Associated with Patient Portal Usage Among Medicaid Recipients.

Background: Patient portals can improve access to electronic health information and enhance patient engagement. However, disparities in patient portal utilization remain, affecting disadvantaged communities disproportionately. This study examined patient- and provider-level factors associated with portal usage among Medicaid recipients in a large federally qualified health center (FQHC) network in Texas. Methods: Deidentified electronic medical records of patients 18 years or older from a large Texas FQHC network were analyzed. The dependent variable was a binary flag indicating portal usage during the study period. Independent variables included patient- and provider-level factors. Patient-level factors included sociodemographic, geographic, and clinical characteristics. Provider characteristics included primary service line, provider type, provider language, and years in practice. Because the analysis was at the individual level, a multivariable logistic regression model focused on adjusted associations between independent variables and portal usage. Results: The analytic sample consisted of 9,271 individuals. Compared with individuals 18-39 years, patients 50 years and older had lower odds (50-64 OR: 0.60, p < 0.001; 65+ OR: 0.51, p < 0.001) of portal usage. Males were less likely to use portals (OR: 0.44, p = 0.03), and compared to Non-Hispanic Whites, Non-Hispanic Black (OR: 0.86, p = 0.02) and Hispanics (OR: 0.83, p < 0.001) were significantly less likely to use portals. Individuals with 1 or more telemedicine consults had a two-times greater odds of portal usage (OR: 1.97, p < 0.001). Compared to individuals who had clinic visits in December 2018, portal usage was significantly higher in the pandemic months (March 2020-November 2020, all p's < 0.01). Importantly, the behavioral health service line had the greatest odds (OR: 1.52, p < 0.001), whereas the dental service line had the lowest odds (OR: 0.69, p = 0.01) compared to family practice. No other provider characteristics were significant. Conclusion: Our finding of significant patient-level factors is important and can contribute to developing appropriate patient-focused health information technology approaches to ensure equitable access and maximize the potential benefits of patient portals in health care delivery.

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Objective: To investigate the application of personal health record (PHR) and chronic disease management platform established on the basis of patient portal system (PPS) in managing older adults with coronary heart disease and to examine the effect on patients' self-care ability, coping mode, and quality of life. Methods: A total of 532 elderly patients with coronary heart disease were included in the study. All the participants enrolled were admitted to a tertiary-care hospital between January 2019 and June 2021. They were randomly assigned to the study group (269 cases) and the control group (263 cases). Patients in the control group were discharged with the routine discharge procedures and received the routine follow-up care. On the other hand, patients in the study group were discharged and followed up through the PHR and chronic disease management platform established on the basis of PPS. After 6 months, 12 months, and 18 months of patient management, the Exercise of Self-Care Agency (ESCA) Scale, Medical Coping Modes Questionnaire (MCMQ) and Seattle Angina Questionnaire (SAQ) were used to evaluate the patients' self-care ability, coping mode, and quality of life, respectively. The patient management effects of the two groups were analyzed. Results: Before the management programs started, there was no statistically significant difference in the scores for the scales between the two groups of patients. After 6 months, 12 months, and 18 months of patient management, the ESCA scores of both groups were higher than those before patient management started (P<0.05). Facing scores in the MCMQ of both groups were higher than those before patient management started (P<0.05), while the scores for avoidance and yielding were lower than those before patient management started (P<0.05). The SAQ scores of both groups were higher than those before patient management started (P<0.05). After 6 months, 12 months and 18 months of patient management, the ESCA scores of the study group were always higher compared with those of the control group (P<0.05). The facing score of the study group was higher, while the scores for avoidance and yielding were lower compared with those of the control group (P<0.05). The SAQ scores of the study group were higher compared with those of the control group (P<0.05). The medication compliance rate in the study group (83.27%) was higher than that in the control group (69.96%) (P<0.05). The incidence of adverse cardiovascular events in the study group (4.09%) was lower than that in the control group (10.27%) (P<0.05). The average times of emergency treatment and readmission in the study group were lower compared with those of the control group (P<0.05). The patient satisfaction score of the study group was higher compared with that of the control group (P<0.05). Conclusion: The PHR and chronic disease management platform established on the basis of PPS can increase the convenient access to medical care among elderly patients with coronary heart disease, which is conducive to improving their self-care ability, coping mode, and quality of life. In addition, the patient management effect is good.

Understanding Patients' Preferences and Experiences During an Electronic Health Record Transition.

BACKGROUND: The Department of Veterans Affairs (VA) has embarked on the largest system-wide electronic health record (EHR) transition in history. To date, most research on EHR-to-EHR transitions has focused on employee and system transition-related needs, with limited focus on how patients experience transitions. OBJECTIVE: (1) Understand patients' preferences for information and support prior to an EHR transition, and (2) examine actual patient experiences that occurred at facilities that implemented a new EHR. DESIGN: We used a two-step approach. We had discussions with geographically diverse patient advisory groups. Discussions informed semi-structured, qualitative interviews with patients. PARTICIPANTS: Patients affected by the EHR transition. MAIN MEASURES: We met with four patient advisory groups at sites that had not transitioned their EHR. Interviews were conducted with patients who received care at one of two facilities that recently transitioned to the new EHR. KEY RESULTS: Patient advisors identified key areas important to patients during an EHR transition. 1) Use a range of communication strategies to reach diverse populations, especially older, rural patients. 2) Information about the EHR transition should be clear and reinforce trustworthiness. 3) Patients will need guidance using the new patient portal. From the patient interviews, we learned if and how these key areas mapped onto patients' experiences. Patients at the sites that had transitioned learned about the new EHR through a variety of modalities, including letters and banners on the patient portal. However, their experiences varied in terms of information quality, leading to frustrations during and between healthcare encounters. Patient portal issues exacerbated frustrations. These raised concerns about the accuracy and security of the overall EHR. CONCLUSIONS: Maintaining clear communication across patients, local leadership, and providers throughout an EHR transition is essential for successful implementation. Patient-facing communications can set expectations, and help patients receive adequate support, particularly related to the patient portal.

Continuing the quality improvement of an electronic personal health record and interactive website for people with diabetes in Scotland (My Diabetes My Way).

AIMS: eHealth applications have the potential to enable patients to take more control over managing their own health, helping to delay and prevent complications. My Diabetes My Way (MDMW) is an electronic personal health record/educational platform available to people with diabetes in Scotland. This study aims to assess user experience with respect to demographic subgroups, examine effectiveness of previous improvements made to the platform and inform its ongoing development. METHODS: All active MDMW users (22,665) were invited to take part in a questionnaire combining Likert scale and free-response items relating to system utility. Likert responses were used to generate a 'utility score'. This was used in regression analyses to determine predictors of system utility scoring. Free-response answers were analysed thematically and themes were generated. RESULTS: A total of 4713 (21%) MDMW users responded to the questionnaire. Most agreed that MDMW helps them to track changes over time, prepare for face-to-face consultations, remember information discussed in consultations and reduced the need to contact their general practitioner. Free-response answers showed that users valued earlier enhancements made to the site (e.g. linking Fitbit data), and highlighted areas needing further improvement. Evidence of the 'digital divide' was seen in respondent demographics, and some users mentioned 'lack of digital skills' as a barrier to engaging with the platform. CONCLUSIONS: User experience of MDMW was positive. Users agreed with statements that MDMW facilitates diabetes self management. Several areas of potential improvement were identified, including linking more wearable device data, and assisting/directing users to gain the digital skills required to engage fully with MDMW.

Surgical Providers' Perceptions of the Patient Portal: Before and After the 21st Century Cures Act.

INTRODUCTION: In April 2021, the Information Blocking Rule (IBR) of the 21st Century Cures Act went into effect giving patients immediate access to notes, radiology reports, lab results, and surgical pathology. We aimed to examine changes in surgical providers' perceptions of patient portal usage before and after its implementation. METHODS: We administered a 37-question survey prior to the implementation of the IBR and a 39-question follow-up survey 3 mo later. The survey was sent to all surgeons, advanced practice providers, and clinic nurses in our surgical department. RESULTS: The response rate to pre surveys and post surveys was 33.7% and 30.7%, respectively. Providers' preference for communication via the patient portal (compared to phone or in person) regarding lab, radiology, or pathology results remained similar. While there was an increase in messages received from patients, there was no difference in the self-reported time spent on the electronic health record (EHR). Prior to the implementation of the blocking rule, 75.8% of providers believed that the portal increased workload which decreased to 57.4% on our follow-up survey. About one-third of providers screened positive for burnout before (32%) which decreased slightly (27.4%). CONCLUSIONS: Although 43.9% of providers reported the Cures Act had changed their practice, there was no difference in self-reported EHR usage, preferred method of interaction with patients, overall workload, or burnout. Initial concerns regarding the IBR's effect on job satisfaction, patient anxiety, and quality of care had lessened. Further exploration into how patients having immediate access to their EHRs has changed surgical practice is needed.

Electronic Patient Portal Use After Kidney Transplant: A Single-Center Retrospective Study.

INTRODUCTION: Online patient portals have become a core component of patient-centered care. Limited research exists on such portal use in patients after kidney transplantation. The aim of this study was to examine preoperative, perioperative, and postoperative factors associated with post-transplantation portal use. METHODS: This cross-sectional study included all patients who underwent kidney transplantation from April 2016 to May 2019 at the University of Toledo Medical Center. Exclusion criteria included international travel for transplantation and those without available postoperative lab or follow-up records. Data were collected for 2 y post-transplantation. Univariable and multivariable linear regression was performed to determine associations with portal use. RESULTS: Two hundred and forty-seven kidney transplant recipients were included in the study; 35.6% (n = 88) used the portal versus 64.4% (n = 159) did not. Preoperative factors associated with increased use included income >$40,000 (odds ratio [OR], 2.95; P = 0.006) and cancer history (OR, 2.46; P = 0.007), whereas diabetes history had reduced use (OR, 0.51; P = 0.021). The Black race had the least use. Perioperatively, reduced use was associated with dialysis before transplant (OR, 0.25; P < 0.001) and hospital stay ≥4 d (OR, 0.49; P = 0.009). Postoperatively, associations with increased use included average eGFR >30 (P = 0.04) and hospital readmissions (n = 102), whereas those with ER (n = 138) visits had decreased use. Multivariable analysis revealed increased use with income >$40,000 (OR, 2.51; P = 0.033). CONCLUSIONS: There was no observed difference in clinical outcomes for portal users and nonusers undergoing kidney transplantation, although portal use may decrease the likelihood of ER visits. Socioeconomic status and ethnicity may play a role on who utilizes the patient portals.

Evaluation of behavioral economic strategies to raise influenza vaccination rates across a health system: Results from a randomized clinical trial.

Influenza vaccination rates are low. Working with a large US health system, we evaluated three health system-wide interventions using the electronic health record's patient portal to improve influenza vaccination rates. We performed a two-arm RCT with a nested factorial design within the treatment arm, randomizing patients to usual-care control (no portal interventions) or to one or more portal interventions. We included all patients within this health system during the 2020-2021 influenza vaccination season, which overlapped with the COVID-19 pandemic. Through the patient portal, we simultaneously tested: pre-commitment messages (sent September 2020, asking patients to commit to a vaccination); monthly portal reminders (October - December 2020), direct appointment scheduling (patients could self-schedule influenza vaccination at multiple sites); and pre-appointment reminder messages (sent before scheduled primary care appointments, reminding patients about influenza vaccination). The main outcome measure was receipt of influenza vaccine (10/01/2020-03/31/2021). We randomized 213,773 patients (196,070 adults ≥18 years, 17,703 children). Influenza vaccination rates overall were low (39.0%). Vaccination rates for study arms did not differ: Control (38.9%), pre-commitment vs no pre-commitment (39.2%/38.9%), direct appointment scheduling yes/no (39.1%/39.1%), pre-appointment reminders yes/no (39.1%/39.1%); p > 0.017 for all comparisons (p value cut-off adjusted for multiple comparisons). After adjusting for age, gender, insurance, race, ethnicity, and prior influenza vaccination, none of the interventions increased vaccination rates. We conclude that patient portal interventions to remind patients to receive influenza vaccine during the COVID-19 pandemic did not raise influenza immunization rates. More intensive or tailored interventions are needed beyond portal innovations to increase influenza vaccination.

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

OBJECTIVE: Patient 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. METHODS: This 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. RESULTS: We 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). CONCLUSIONS: Houselessness is a potential risk factor preventing patient portal use. In addition, using patient portals could potentially increase clinic visits among the houseless patient population.

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

OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

An Assessment of Patient Portal Messaging Use by Patients With Multiple Chronic Conditions Living in Rural Communities: Retrospective Analysis.

BACKGROUND: Patient portals can facilitate the delivery of health care services and support self-management for patients with multiple chronic conditions. Despite their benefits, the evidence of patient portal use among patients with multimorbidity in rural communities is limited. OBJECTIVE: This study aimed to explore the factors associated with portal messaging use by rural patients. METHODS: We assessed patient portal use among patients with ≥1 chronic diagnoses who sent or received messages via the Epic MyChart (Epic Systems Corporation) portal between January 1, 2015, and November 9, 2021. Patient portal use was defined as sending or receiving a message through the portal during the study period. We fit a zero-inflated negative binomial model to predict portal use based on the patient's number of chronic conditions, sex, race, age, marital status, and insurance type. County-level characteristics, based on the patient's home address, were also included in the model to assess the influence of community factors on portal use. County-level factors included educational attainment, smartphone ownership, median income, and primary care provider density. RESULTS: A total of 65,178 patients (n=38,587, 59.2% female and n=21,454, 32.92% Black) were included in the final data set, of which 38,380 (58.88%) sent at least 1 message via the portal during the 7-year study period. As the number of chronic diagnoses increased, so did portal messaging use; however, this relationship was driven primarily by younger patients. Patients with 2 chronic conditions were 1.57 times more likely to send messages via the portal than those with 1 chronic condition (P<.001). In comparison, patients with ≥7 chronic conditions were approximately 11 times more likely to send messages than patients with 1 chronic condition (P<.001). A robustness check confirmed the interaction effect of age and the number of diagnoses on portal messaging. In the model including only patients aged <65 years, there was a significant effect of increased portal messaging corresponding to the number of chronic conditions (P<.001). Conversely, this relationship was not significant for the model consisting of older patients. Other significant factors associated with increased portal use include being female; White; married; having private insurance; and living in an area with a higher average level of educational attainment, greater medical provider density, and a lower median income. CONCLUSIONS: Patients' use of the portal to send messages to providers was incrementally related to their number of diagnoses. As the number of chronic diagnoses increased, so did portal messaging use. Patients of all ages, particularly those living in rural areas, could benefit from the convenience and cost-effectiveness of portal communication. Health care systems and providers are encouraged to increase the use of patient portals by implementing educational interventions to promote the advantages of portal communication, particularly among patients with multimorbidity.