Barriers to Patient Portal Access and Use: Evidence from the Health Information National Trends Survey

Discussions of Cannabis Over Patient Portal Secure Messaging: Content Analysis

BACKGROUND

Patient portal secure messaging allows patients to describe health-related behaviors in ways that may not be sufficiently captured in standard electronic health record (EHR) documentation, but little is known about how cannabis is discussed on this platform.

OBJECTIVE

This study aimed to identify patient and provider secure messages that discussed cannabis and contextualize these discussions over periods before and after its legalization for medical purposes in Pennsylvania.

METHODS

We examined 382,982 secure messages sent by 15,340 patients and 6101 providers from an integrated health delivery system in Pennsylvania, United States, from January 2012 to June 2022. We used an unsupervised natural language processing approach to construct a lexicon that identified messages explicitly discussing cannabis. We then conducted a qualitative content analysis on a random sample of identified messages to understand the medical reasons behind patients' use, the primary purposes of the cannabis-related discussions, and changes in these purposes over time.

RESULTS

We identified 1782 messages sent by 1098 patients (7.2% of total patients in the study) and 800 messages sent by 430 providers (7% of total providers in the study) as explicitly discussing cannabis. The most common medical reasons for use stated by patients in 190 sampled messages included pain or a pain-related condition (50.5% of messages), anxiety (13.7% of messages), and sleep (11.1% of messages). We coded 56 different purposes behind the mentions of cannabis in patient messages and 33 purposes in 100 sampled provider messages. In years before the legalization (2012-2016), patient and provider messages (n=20 for both) were primarily driven by discussions about cannabis screening results (38.9% and 76.5% of messages, respectively). In the years following legalization (2017-2022), patient messages (n=170) primarily involved seeking assistance to facilitate medical use (35.2% of messages) and reporting current use (25.3% of messages). Provider messages (n=80) were driven by giving assistance with medical marijuana access (27.5% of messages) and stating that they were unable to refer, prescribe or recommend medical marijuana (26.3% of messages).

CONCLUSIONS

Patients showed a willingness to discuss cannabis use over patient portal secure messages and expressed interest in use after the legalization of medical marijuana. Some providers responded to patient inquiries with assistance in obtaining access to medical marijuana, while others cautioned patients on the risks of use. Insight into cannabis-related discussions through secure messages can help health systems determine opportunities to improve care processes around patients' cannabis use, and providers should be supported to communicate accurate and consistent information.

Digital Health Tools and Behavioral Strategies to Increase Engagement With Diabetes Self-Management Education and Support: Design and Feasibility of DM-BOOST

PURPOSE

The purpose of the study was to describe the development and feasibility of implementing the DM-BOOST program in support of an established diabetes self-management education and support (DSMES) program.

METHODS

A patient panel of 4 adults with type 2 diabetes (T2DM) codesigned DM-BOOST. DM-BOOST is a patient-focused program that includes peer-written text messages about diabetes self-management behaviors and digital health training to improve patient portal use and initiate goal setting prior to a scheduled DSMES appointment. Adults with T2DM and A1C ≥8.0% participated in a 6-month feasibility pilot. Participants were randomly assigned (1:1) to receive either DM-BOOST or usual care. Outcomes included DSMES engagement (scheduled and attended DSMES appointments) and changes in diabetes self-efficacy and treatment satisfaction.

RESULTS

Pilot participants (n = 60) were 60.0% female with mean age 45.5 years (SD 8.3) and A1C 10.1% (SD 1.8%). All DM-BOOST participants (30/30, 100%) had DSMES appointments scheduled compared to 86.7% of usual care (26/30). DM-BOOST participants had fewer DSMES appointment no-shows/cancellations (3/30, 10%) compared to usual care (10/26, 35%). There was greater improvement in diabetes self-efficacy in the DM-BOOST group compared to usual care and no difference in treatment satisfaction.

CONCLUSIONS

DM-BOOST, leveraging peer-written text messaging and digital health training, increased DSMES engagement. Implementation of DM-BOOST was determined to be feasible, with several system-level barriers identified, including obtaining provider referrals and scheduling appointments. An effectiveness trial of DM-BOOST is needed to evaluate the impact on clinical outcomes.

Factors Guiding Clinical Decision-Making in Genitourinary Oncology

INTRODUCTION

Clinical decision-making in oncology is a complex process, with the primary goal of identifying the most effective treatment tailored to individual cancer patients. Many factors influence the treatment decision: disease- and patient-specific criteria, the increasingly complex treatment landscape, market authorization and drug availability, financial aspects, and personal treatment expertise. In the domain of genitourinary cancers, particularly prostate cancer, decision-making is challenging. Despite the prevalence of this malignancy, there are few in-depth explorations of these factors within real-world scenarios. Understanding and refining this intricate decision-making process is essential for future successful clinical decisions and the integration of computerized decision support into clinicians' workflows.

AIM

The objective of this study is to improve the current knowledge base and evidence of the factors that influence treatment decision-making for patients with genitourinary cancers.

METHODS

Assessment of how routine treatment decisions are made for genitourinary cancers was performed by a mixed-methods study, encompassing field observations and focus group discussions.

RESULTS

In total, we identified 59 factors that influence clinical decision-making in oncology, specifically for genitourinary and prostate cancer. Of these, 23 criteria can be classified as decision-maker-related criteria encompassing personal, cognitive, and emotional attributes and factors of both, healthcare professionals and patients. Moreover, 20 decision-specific criteria have been identified that refer to clinical and disease-related factors, followed by 16 contextual decision factors that describe the relevant criteria introduced by the specific circumstances and environment in which the treatment decision is made.

CONCLUSION

By presenting an exhaustive set of decision factors and providing specific examples for genitourinary cancers, this observational study establishes a possible framework for a better understanding of decision-making. Moreover, we specify and expand the set of decision factors, while emphasizing the importance of cognitive, emotional, and human factors, as well as the quality and accessibility of decision-relevant information.

Nurse-led telehealth and mobile health care models for type 2 diabetes and hypertension in low-income US populations: A scoping review

BACKGROUND

Increasing numbers of underserved people with chronic diseases and decreasing providers in rural areas have contributed to the care shortage in the United States. Nurse-led telehealth/mobile care models have potential benefits for this population. However, there is a substantial gap in the literature regarding this topic.

PURPOSE

To examine the available literature on nurse-led telehealth/mobile health care models with a particular focus on care model settings, nursing roles, care components, achieved outcomes, and the identification of both facilitative factors and encountered challenges. The ultimate goal is to offer recommendations based on these findings, thereby aiding the development or refinement of evidence-based care models that meet to the unique needs of low-income populations.

METHODOLOGY

Literature published from 2010 to 2023 was searched in six electronic databases (Cumulative Index to Nursing and Allied Health Literature, Communication and Mass Media Complete, Medline, APA PsycINFO, Social Sciences Index, and Web of Science databases).

RESULTS

Commonalities identified among included studies with significant improvements were the provision of home monitors and education to participants, multiple engagements, and extensive community and/or family involvement.

CONCLUSIONS

Nurse-led telehealth/mobile health care models for chronic diseases are an emerging approach. Nurse educators must ensure that future nurses are adept in diverse telehealth modes, collaborating across disciplines. Leveraging advanced practice registered nurses and interdisciplinary teams provides holistic care.

IMPLICATIONS

Our review outlined recent research findings that suggest enhanced patient outcomes through technology, communication, and community support. In addition, we offered suggestions for future research and practice, emphasizing the importance of exploring the requirements of diverse and underserved communities.

Relationship of Rurality and Confidence in Video Skills With Persistent Nonuse of Video Appointments for Health Care

INTRODUCTION

Limited research has examined how technology and digital literacy may affect patients' use of video visits. This study explored the relationship of demographic factors and patient-reported confidence in digital literacy skills to access to video visits among patients who never used them during the COVID-19 pandemic.

METHODS

Using existing survey data, the current study examined data from respondents who did not engage in video appointments but instead attended face-to-face appointments between April and December 2020 for nonemergent health concerns. A multivariable logistic regression model was used to investigate whether demographic and social determinants of health factors, context of care (primary care or psychiatry/psychology), and digital literacy confidence were associated with video visit engagement. Collinearity was assessed using the variance inflation factor.

RESULTS

This study found that living in rural areas and having a self-reported lack of confidence in logging video appointments using the Mayo Clinic patient portal were associated with persistent nonuse of video appointments in a cohort of patients who did not use video visits at this institution during the early part of the COVID-19 pandemic.

DISCUSSION

The research findings reported herein reveal that individuals living in rural areas and those who lack confidence in logging into patient portals to access video visits tend to persistently avoid using video appointments. More investment is needed at the federal and corporate levels to improve digital connectivity. Digital navigators and community involvement can promote digital adoption.

CONCLUSION

To encourage digital competency in rural communities, it is important to implement support strategies through community stakeholders and other resources.

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.

Patterns of digital health access and use among US adults: A latent class analysis

Background

Digital technologies allow users to engage in health-related behaviors associated with positive outcomes. We aimed to identify classes of US adults with distinct digital technologies access and health use patterns and characterize class composition. Data came from Health Information National Trends Survey Wave 5 Cycles 1-4, a nationally representative cross-sectional survey of US adults (N=13,993). We used latent class analysis to identify digital technologies access and health use patterns based on 32 ternary variables of behaviors and access to requisite technologies and platforms, including the internet, internet-enabled devices, health monitors, and electronic health records (EHRs). We ran a multinomial logistic regression to identify sociodemographic and health correlates of class membership (n=10,734).

Results

Ten classes captured patterns of digital technology access and health use among US adults. This included a digitally isolated, a mobile-dependent, and a super user class, which made up 8.9%, 7.8%, and 13.6% of US adults, respectively, and captured access patterns from only basic cellphones and health monitors to near complete access to web-, mobile-, and EHR-based platforms. Half of US adults belonged to classes that lacked access to EHRs and relied on alternative web-based tools typical of patient portals. The proportion of class members who used digital technologies for health purposes varied from small to large. Older and less educated adults had lower odds of belonging to classes characterized by access or engagement in health behaviors. Hispanic and Asian adults had higher odds of belonging to the mobile-dependent class. Individuals without a regular healthcare provider and those who had not visited a provider in the past year were more likely to belong to classes with limited digital technologies access or health use.

Discussion

Only one third of US adults belonged to classes that had near complete access to digital technologies and whose members engaged in almost all health behaviors examined. Sex, age, and education were associated with membership in classes that lacked access to 1+ digital technologies or exhibited none to limited health uses of such technologies. Results can guide efforts to improve access and health use of digital technologies to maximize associated health benefits and minimize disparities.

Patient factors associated with telehealth quality and experience among adults with chronic conditions

Objective

To evaluate patient-reported experiences of telehealth and disparities in access, use, and satisfaction with telehealth during the COVID-19 pandemic.

Materials and methods

We examined data from the fifth wave of the COVID-19 & Chronic Conditions (C3) study conducted between December 2020 and March 2021.

Results

Of the 718 participants, 342 (47.6%) reported having a telehealth visit within the past 4 months. Participants who had a recent telehealth visit were younger, reported worse overall health and chronic illness burden, and living below poverty level. Among participants who had a telehealth visit, 66.7% reported telephone visits and most participants (57.6%) rated telehealth quality as better-or-equal-to in-person visits. Inadequate health literacy was associated with lower likelihood of reporting telehealth quality and usefulness. In multivariable analyses, lower patient activation (adjusted odds ratio (AOR) 0.19, 95% CI, 0.05-0.59) and limited English proficiency (AOR 0.12, 95% CI, 0.03-0.47) were less likely to report telehealth as being better than in-person visits; lower patient activation (AOR 0.06, 95% CI, 0.003-0.41) and income below poverty level (AOR 0.36, 95% CI, 0.13-0.98) were associated with difficulty remembering telehealth visit information.

Discussion

Most participants reported usefulness and ease of navigating telehealth. Lower socioeconomic status, limited English proficiency, inadequate health literacy, lower educational attainment, and low patient activation are risks for poorer quality telehealth.

Conclusion

The COVID pandemic has accelerated the adoption of telehealth, however, disparities in access and self-reported visit quality persist. Since telemedicine is here to stay, we identify vulnerable populations and discuss potential solutions to reduce healthcare disparities in telehealth use.

Differences by Race in Outcomes of an In-Person Training Intervention on Use of an Inpatient Portal: A Secondary Analysis of a Randomized Clinical Trial

Importance

Differences in patient use of health information technologies by race can adversely impact equitable access to health care services. While this digital divide is well documented, there is limited evidence of how health care systems have used interventions to narrow the gap.

Objective

To compare differences in the effectiveness of patient training and portal functionality interventions implemented to increase portal use among racial groups.

Design, Setting, and Participants

This secondary analysis used data from a randomized clinical trial conducted from December 15, 2016, to August 31, 2019. Data were from a single health care system and included 6 noncancer hospitals. Participants were patients who were at least 18 years of age, identified English as their preferred language, were not involuntarily confined or detained, and agreed to be provided a tablet to access the inpatient portal during their stay. Data were analyzed from September 1, 2022, to October 31, 2023.

Interventions

A 2 × 2 factorial design was used to compare the inpatient portal training intervention (touch, in-person [high] vs built-in video tutorial [low]) and the portal functionality intervention (technology, full functionality [full] vs a limited subset of functions [lite]).

Main Outcomes and Measures

Primary outcomes were inpatient portal use, measured by frequency and comprehensiveness of use, and use of specific portal functions. A logistic regression model was used to test the association of the estimators with the comprehensiveness use measure. Outcomes are reported as incidence rate ratios (IRRs) for the frequency outcomes or odds ratios (ORs) for the comprehensiveness outcomes with corresponding 95% CIs.

Results

Of 2892 participants, 550 (19.0%) were Black individuals, 2221 (76.8%) were White individuals, and 121 (4.2%) were categorized as other race (including African, American Indian or Alaska Native, Asian or Asian American, multiple races or ethnicities, and unknown race or ethnicity). Black participants had a significantly lower frequency (IRR, 0.80 [95% CI, 0.72-0.89]) of inpatient portal use compared with White participants. Interaction effects were not observed between technology, touch, and race. Among participants who received the full technology intervention, Black participants had lower odds of being comprehensive users (OR, 0.76 [95% CI, 0.62-0.91), but interaction effects were not observed between touch and race.

Conclusions and Relevance

In this study, providing in-person training or robust portal functionality did not narrow the divide between Black participants and White participants with respect to their inpatient portal use. Health systems looking to narrow the digital divide may need to consider intentional interventions that address underlying issues contributing to this inequity.

Trial Registration

ClinicalTrials.gov Identifier: NCT02943109.

Disparities in Patient Portal Use Among Adults With Chronic Conditions

Importance

Disparities in patient access and use of health care portals have been documented. Limited research has evaluated disparities in portal use during and after the COVID-19 pandemic.

Objective

To assess prevalence of health care portal use before, during, and after the most restrictive phase of the pandemic (2019-2022) among the COVID-19 & Chronic Conditions (C3) cohort and to investigate any disparities in use by sociodemographic factors.

Design, Setting, and Participants

This cohort study uses data from the C3 study, an ongoing, longitudinal, telephone-based survey of participants with multiple chronic conditions. Participants were middle aged and older-adult primary care patients who had an active portal account, recruited from a single academic medical center in Chicago, Illinois, between 2019 and 2022. Data were analyzed between March and June 2022.

Main Outcomes and Measures

Outcomes of portal use (ie, number of days of portal login by year) were recorded for all study participants by the electronic data warehouse. All parent studies had uniform sociodemographic data and measures of social support, self-efficacy, health literacy, and health activation.

Results

Of 536 participants (mean [SD] age, 66.7 [12.0] years; 336 [62.7%] female), 44 (8.2%) were Hispanic or Latinx, 142 (26.5%) were non-Hispanic Black, 322 (60.1%) were non-Hispanic White, and 20 individuals (3.7%) identified as other race, including Asian, Native American or Alaskan Native, and self-reported other race. In multivariable analyses, portal login activity was higher during the 3 years of the COVID-19 pandemic compared with the 2019 baseline. Higher portal login activity was associated with adequate health literacy (incidence rate ratio [IRR], 1.51; 95% CI, 1.18-1.94) and multimorbidity (IRR, 1.38; 95% CI, 1.17-1.64). Lower portal activity was associated with older age (≥70 years: IRR, 0.69; 95% CI, 0.55-0.85) and female sex (IRR, 0.77; 95% CI, 0.66-0.91). Compared with non-Hispanic White patients, lower portal activity was observed among Hispanic or Latinx patients (IRR, 0.66; 95% CI, 0.49-0.89), non-Hispanic Black patients (IRR, 0.68; 95% CI, 0.56-0.83), and patients who identified as other race (IRR, 0.42; 95% CI, 0.28-0.64).

Conclusions and Relevance

This cohort study using data from the C3 study identified changes in portal use over time and highlighted populations that had lower access to health information. The COVID-19 pandemic was associated with an increase in portal use. Sociodemographic disparities by sex and age were reduced, although disparities by health literacy widened. A brief validated health literacy measure may serve as a useful digital literacy screening tool to identify patients who need further support.

Patterns of digital health access and use among US adults: A latent class analysis

Background Digital technologies allow users to engage in health-related behaviors associated with positive outcomes. We aimed to identify classes of US adults with distinct digital technologies access and health use patterns and characterize class composition. Data came from Health Information National Trends Survey Wave 5 Cycles 1-4, a nationally representative cross-sectional survey of US adults ( N  = 13,993). We used latent class analysis to identify digital technologies access and health use patterns based on 32 behaviors and access to requisite technologies and platforms that include the internet, internet-enabled devices, health monitors, and electronic health records (EHRs). We ran a multinomial logistic regression to identify sociodemographic and health correlates of class membership ( n  = 10,734). Results Ten classes captured patterns of digital technology access and health use among US adults. This included a digitally isolated, a mobile-dependent, and a super user class, which made up 8.9%, 7.8%, and 13.6% of US adults, respectively, and captured access patterns from only basic cellphones and health monitors to near complete access to web-, mobile-, and EHR-based platforms. Half of US adults belonged to classes that lacked access to EHRs and relied on alternative web-based tools typical of patient portals. The proportion of class members who used digital technologies for health purposes varied from small to large. Older and less educated adults had lower odds of belonging to classes characterized by access or engagement in health behaviors. Hispanic and Asian adults had higher odds of belonging to the mobile-dependent class. Individuals without a regular healthcare provider and those who had not visited a provider in the past year were more likely to belong to classes with limited digital technologies access or health use. Discussion Only one third of US adults belonged to classes that had near complete access to digital technologies and whose members engaged in almost all health behaviors examined. Sex, age, and education were associated with membership in classes that lacked access to 1 + digital technologies or exhibited none to limited health uses of such technologies. Results can guide efforts to improve access and health use of digital technologies to maximize associated health benefits and minimize disparities.

Social Determinants of Health and Patients' Technology Acceptance of Telehealth During the COVID-19 Pandemic: Pilot Survey

BACKGROUND

Telehealth has been widely adopted by patients during the COVID-19 pandemic. Many social determinants of health influence the adoption.

OBJECTIVE

This pilot study aimed to understand the social determinants of patients' adoption of telehealth in the context of the pandemic.

METHODS

A survey methodology was used to capture data from 215 participants using Amazon Mechanical Turk. The study was guided by the technology acceptance model and the social determinants of health framework. The questionnaire included technology acceptance model variables (eg, perceived usefulness [PU] and perceived ease of use [PEOU]), social determinants (eg, access to health care, socioeconomic status, education, and health literacy), and demographic information (eg, age, sex, race, and ethnicity). A series of ordinary least squares regressions were conducted to analyze the data using SPSS Statistics (IBM Corp).

RESULTS

The results showed that social determinant factors-safe neighborhood and built environment (P=.01) and economic stability (P=.05)-are predictors of the PEOU of telehealth adoption at a statistically significant or marginally statistically significant level. Furthermore, a moderated mediation model (PROCESS model 85) was used to analyze the effects of COVID-19 on the neighborhood, built environment, and economic stability. PEOU and PU significantly positively affected users' intention to use technology for both variables.

CONCLUSIONS

This study draws attention to 2 research frameworks that address unequal access to health technologies. It also adds empirical evidence to telehealth research on the adoption of patient technology. Finally, regarding practical implications, this study will provide government agencies, health care organizations, and health care companies with a better perspective of patients' digital health use. This will further guide them in designing better technology by considering factors such as social determinants of health.

Language-Specific Challenges and Solutions for Equitable Telemedicine Implementation in the Primary Care Safety Net During COVID-19

PURPOSE

Telemedicine care dramatically expanded during the COVID-19 pandemic. We characterized facilitators and barriers to telemedicine implementation among safety-net primary care clinics serving patients with limited English proficiency (LEP).

METHODS

We collected data on telemedicine volume and patient demographics among safety-net clinics participating in a telemedicine learning collaborative. Data on various metrics were reported to the collaborative from February 2019 through August 2021. We conducted semi-structured interviews with clinical and quality leaders, purposively sampling clinics serving high proportions of patients with LEP. We analyzed interviews with a mixed inductive-deductive approach applying the Consolidated Framework for Implementation Research.

RESULTS

By September 2020, the 23 sites served 121,589 unique patients with in-person and 120,338 with telephone visits; 47% of these patients had LEP. Of 10,897 unique patients served by video visits, 38% had LEP. As a proportion of total visits, telemedicine (telephone and video) visits increased from 0-17% in October 2019-March 2020 to 10-98% in March-August 2020. We conducted 14 interviews at 11 sites. Themes included (1) existing telemedicine platforms and interpreter services were not optimized to support patients with LEP; (2) clinics invested significant labor iterating workflows; (3) sites with technological infrastructure and language-concordant staff were best suited to serve patients; (4) patients speaking less-represented languages or experiencing intersecting literacy barriers were underserved with telemedicine. Interviewees recommended innovations in telemedicine platforms and community-based access.

CONCLUSIONS

Safety-net sites relied on existing resources to accommodate patients with LEP, but struggled providing access for the most marginalized. Proactive, data-driven strategies to address patient and community barriers as well as optimize clinical workflows with high-quality, certified medical interpreters are needed to ensure equitable access.

Cross-sectional analyses of online appointment booking and repeat prescription ordering user characteristics in general practices of England in the years 2018-2020

OBJECTIVES

To explore the characteristics of the General Practice Patient Survey (GPPS) respondents using the different functionalities of the online services in the context of England's National Health Service General Practices. We hypothesised that respondents who are older, with lower socioeconomic status and non-white ethnicity would be less likely to use online services, while long-term conditions might increase their usage.

DESIGN

Cross-sectional study using respondent-level data from the GPPS in England of the years 2018, 2019 and 2020. We assessed the association between online services use and respondent characteristics using two-level mixed-effects logistic regression.

PARTICIPANTS

Survey respondents of the GPPS 2018-2020.

PRIMARY OUTCOME MEASURES

Online appointment booking and online repeat prescription ordering.

RESULTS

1 807 049 survey respondents were included in this study. 15% (n=263 938) used online appointment booking in the previous 12 months, and 19% (n=339 449) had ordered a repeat prescription in the previous 12 months. Respondents with a long-term condition, on regular multiple medications, who have deafness or hearing loss and who are from the lowest deprivation quintile were more likely to have used online services. Male respondents (compared with females) and respondents with black and other ethnicity compared with white ethnicity were less likely to use online services. Respondents over 85 years old were less likely to use online appointment booking and online repeat prescription ordering compared with the younger age groups.

CONCLUSIONS

Specific groups of respondents were more likely to use online services such as patients with long-term conditions or those with deafness or hearing loss. While online services could provide efficiency to patients and practices it is essential that alternatives continue to be provided to those that cannot use or choose not to use online services. Understanding the different patients' needs could inform solutions to increase the uptake and use of the services.

Impact of Telemedicine on Delivery of Pediatric Inflammatory Bowel Disease Care

OBJECTIVES

Outpatient inflammatory bowel disease (IBD) care shifted from office visits (OVs) to a model with integrated telemedicine during the 2020 COVID-19 pandemic. We describe the impact of this shift on delivery of pediatric IBD care.

METHODS

We collected electronic medical record data from office and telemedicine visits for pediatric patients with IBD at a single center from April 2019 to December 2020. We compared visit volume, duration, and test ordering between 2019 and 2020, and between OV and telemedicine, and assessed for differences in telemedicine adoption by sociodemographic factors.

RESULTS

Visit volume was maintained between 2019 and 2020. Median overall appointment time was shorter for telemedicine versus OV [46 (interquartile range, IQR 35-72) vs 62 (IQR 51-80) minutes; P < 0.001] with no significant difference in time spent with provider [28 (IQR 21-41) vs OV 30 (IQR 24-39) minutes; P = 0.08]. Accounting for drive time, telemedicine visits were 2.6 times shorter than office visits in 2020 ( P < 0.001). In univariate analyses, there was no difference in telemedicine utilization by race or gender. Variables significantly associated with telemedicine were older age, English as primary language, being non-Hispanic, commercial insurance, living in an area of very high opportunity, and having a longer drive time to the office ( P < 0.05 for all comparisons). In multivariate analyses, visits among patients with commercial insurance were significantly more likely to be conducted via telemedicine ( P = 0.02). Among those with a telemedicine visit, multivariate analyses demonstrated multiracial patients were significantly more likely to have video visits (vs audio-only; P = 0.02), while patients with public insurance, no or missing insurance, and whose primary language was Arabic were significantly less likely to have video visits ( P < 0.05 for all comparisons).

CONCLUSIONS

Integrated telemedicine allowed for continued delivery of pediatric IBD care and significantly decreased appointment time. While telemedicine may improve access for those who live further from the office, concerns remain about the introduction of disparities.

Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality

BACKGROUND

Mobile apps facilitate patients' access to portals and interaction with their healthcare providers. The COVID-19 pandemic accelerated this trend globally, but little evidence exists on patient portal usage in the Middle East, where internet access and digital literacy are limited. Our study aimed to explore how users utilize a patient portal through its related mobile app (MyChart by EPIC).

METHODS

We conducted a cross-sectional survey of MyChart users, recruited from a tertiary care center in Lebanon. We collected MyChart usage patterns, perceived outcomes, and app quality, based on the Mobile Application Rating Scale (user version, uMARS), and sociodemographic factors. We examined associations between app usage, app quality, and sociodemographic factors using Pearson's correlations, Chi-square, ANOVA, and t-tests.

RESULTS

428 users completed the survey; they were primarily female (63%), aged 41.3 ± 15.6 years, with a higher education level (87%) and a relatively high crowding index of 1.4 ± 0.6. Most of the sample was in good and very good health (78%) and had no chronic illnesses (67%), and accessed the portal through MyChart once a month or less (76%). The most frequently used features were accessing health records (98%), scheduling appointments (67%), and messaging physicians (56%). According to uMARS completers (n = 200), the objective quality score was 3.8 ± 0.5, and the subjective quality was 3.6 ± 0.7. No significant association was found between overall app usage and the mobile app quality measured via uMARS. Moreover, app use frequency was negatively associated with education, socioeconomic status, and perceived health status. On the other hand, app use was positively related to having chronic conditions, the number of physician visits and subjective app quality.

CONCLUSION

The patient portal usage was not associated with app quality but with some of the participants' demographic factors. The app offers a user-friendly, good-quality interface to patient health records and physicians, appreciated chiefly by users with relatively low socioeconomic status and education. While this is encouraging, more research is needed to capture the usage patterns and perceptions of male patients and those with even lower education and socioeconomic status, to make patient portals more inclusive.

Racial and ethnic disparities in telehealth use before and after California's stay-at-home order

Introduction

Telehealth can potentially improve the quality of healthcare through increased access to primary care. While telehealth use increased during the COVID-19 pandemic, racial/ethnic disparities in the use of telemedicine persisted during this period. Little is known about the relationship between health coverage and patient race/ethnicity after the onset of the COVID-19 pandemic.

Objective

This study examines how differences in patient race/ethnicity and health coverage are associated with the number of in-person vs. telehealth visits among patients with chronic conditions before and after California's stay-at-home order (SAHO) was issued on 19 March 2020.

Methods

We used weekly patient visit data (in-person (N = 63, 491) and telehealth visits (N = 55, 472)) from seven primary care sites of an integrated, multi-specialty medical group in Los Angeles County that served a diverse patient population between January 2020 and December 2020 to examine differences in telehealth visits reported for Latino and non-Latino Asian, Black, and white patients with chronic conditions (type 2 diabetes, pre-diabetes, and hypertension). After adjusting for age and sex, we estimate differences by race/ethnicity and the type of insurance using an interrupted time series with a multivariate logistic regression model to study telehealth use by race/ethnicity and type of health coverage before and after the SAHO. A limitation of our research is the analysis of aggregated patient data, which limited the number of individual-level confounders in the regression analyses.

Results

Our descriptive analysis shows that telehealth visits increased immediately after the SAHO for all race/ethnicity groups. Our adjusted analysis shows that the likelihood of having a telehealth visit was lower among uninsured patients and those with Medicaid or Medicare coverage compared to patients with private insurance. Latino and Asian patients had a lower probability of telehealth use compared with white patients.

Discussion

To address access to chronic care management through telehealth, we suggest targeting efforts on uninsured adults and those with Medicare or Medicaid coverage, who may benefit from increased telehealth use to manage their chronic care.

The State-of-the-Art of Patient Portals: Adapting to External Factors, Addressing Barriers, and Innovating

BACKGROUND AND OBJECTIVE

Recent external factors-the 21st Century Cures Act and the coronavirus disease 2019 (COVID-19) pandemic-have stimulated major changes in the patient portal landscape. The objective of this state-of-the-art review is to describe recent developments in the patient portal literature and to identify recommendations and future directions for the design, implementation, and evaluation of portals.

METHODS

To focus this review on salient contemporary issues, we elected to center it on four topics: (1) 21st Century Cures Act's impact on patient portals (e.g., Open Notes); (2) COVID-19's pandemic impact on portals; (3) proxy access to portals; and (4) disparities in portal adoption and use. We conducted targeted PubMed searches to identify recent empirical studies addressing these topics, used a two-part screening process to determine relevance, and conducted thematic analyses.

RESULTS

Our search identified 174 unique papers, 74 were relevant empirical studies and included in this review. Among these papers, we identified 10 themes within our four a priori topics, including preparing for and understanding the consequences of increased patient access to their electronic health information (Cures Act); developing, deploying, and evaluating new virtual care processes (COVID-19); understanding current barriers to formal proxy use (proxy access); and addressing disparities in portal adoption and use (disparities).

CONCLUSION

Our results suggest that the recent trends toward understanding the implications of immediate access to most test results, exploring ways to close gaps in portal adoption and use among different sub-populations, and finding ways to leverage portals to improve health and health care are the next steps in the maturation of patient portals and are key areas that require more research. It is important that health care organizations share their innovative portal efforts, so that successful measures can be tested in other contexts, and progress can continue.

Rudin R, Sulca Flores J, Goolkasian G, Sousa J, Rodriguez J, Lipsitz S, Foer D, K. Dalal A. Assessing Equitable Recruitment in a Digital Health Trial for Asthma

OBJECTIVE

This study aimed to assess a multipronged strategy using primarily digital methods to equitably recruit asthma patients into a clinical trial of a digital health intervention.

METHODS

We approached eligible patients using at least one of eight recruitment strategies. We recorded approach dates and the strategy that led to completion of a web-based eligibility questionnaire that was reported during the verbal consent phone call. Study team members conducted monthly sessions using a structured guide to identify recruitment barriers and facilitators. The proportion of participants who reported being recruited by a portal or nonportal strategy was measured as our outcomes. We used Fisher's exact test to compare outcomes by equity variable, and multivariable logistic regression to control for each covariate and adjust effect size estimates. Using grounded theory, we coded and extracted themes regarding recruitment barriers and facilitators.

RESULTS

The majority (84.4%) of patients who met study inclusion criteria were patient portal enrollees. Of 6,366 eligible patients who were approached, 627 completed the eligibility questionnaire and were less frequently Hispanic, less frequently Spanish-speaking, and more frequently patient portal enrollees. Of 445 patients who consented to participate, 241 (54.2%) reported completing the eligibility questionnaire after being contacted by a patient portal message. In adjusted analysis, only race (odds ratio [OR]: 0.46, 95% confidence interval [CI]: 0.28-0.77, p = 0.003) and college education (OR: 0.60, 95% CI: 0.39-0.91, p = 0.016) remained significant. Key recruitment barriers included technology issues (e.g., lack of email access) and facilitators included bilingual study staff, Spanish-language recruitment materials, targeted phone calls, and clinician-initiated "1-click" referrals.

CONCLUSION

A primarily digital strategy to recruit patients into a digital health trial is unlikely to achieve equitable participation, even in a population overrepresented by patient portal enrollees. Nondigital recruitment methods that address racial and educational disparities and less active portal enrollees are necessary to ensure equity in clinical trial enrollment.

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

Introduction

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.

Purpose

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.

Methods

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.

Results

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.

Implications

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.

Bridging the Digital Health Divide: Characterizing Patient Portal Users and Nonusers in the U.S

OBJECTIVE

The objectives of this study were to (1) examine demographic differences between patient portal users and nonusers; and (2) examine health literacy, patient self-efficacy, and technology usage and attitudes between patient portal users and nonusers.

METHODS

Data were collected from Amazon Mechanical Turk (MTurk) workers from December 2021 to January 2022. MTurk workers completed an online survey, which asked about their health, access to technology, health literacy, patient self-efficacy, media and technology attitudes, and patient portal use for those with an account. A total of 489 MTurk workers completed the survey. Data were analyzed using latent class analysis (LCA) and multivariate logistic regression models.

RESULTS

Latent class analysis models revealed some qualitative differences between users and nonusers of patient portals in relation to neighborhood type, education, income, disability status, comorbidity of any type, insurance type, and the presence or absence of primary care providers. These results were partially confirmed by logistic regression models, which showed that participants with insurance, a primary care provider, or a disability or comorbid condition were more likely to have a patient portal account.

CONCLUSIONS

Our study findings suggest that access to health care, along with ongoing patient health needs, influence the usage of patient portal platforms. Patients with health insurance have the opportunity to access health care services, including establishing a relationship with a primary care provider. This relationship can be critical to a patient ever creating a patient portal account and actively engaging in their care, including communicating with their care team.

Remote Provision of Medication Abortion and Contraception Through Telemedicine

This Narrative Review describes the remote provision of family planning services, including medication abortion and contraception, through telemedicine. The coronavirus disease 2019 (COVID-19) pandemic was a catalyst to shift toward telemedicine to maintain and expand access to crucial reproductive health services when public health measures necessitated social distancing. There are legal and political considerations when providing medication abortion through telemedicine, along with unique challenges, even more so after the Dobbs decision starkly limited options for much of the country. This review includes the literature describing the logistics of telemedicine and modes of delivery for medication abortion and details special considerations for contraceptive counseling. Health care professionals should feel empowered to adopt telemedicine practices to provide family planning services to their patients.

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.

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

Background: 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). Methods: 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 > 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. Results: 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 < 0.001) and health insurance coverage (AOR = 2.41, 95% CI 2.23−2.61, p < 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. Conclusions: 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.

Disparities in patient portal access by US adults before and during the COVID-19 pandemic

OBJECTIVE

Online patient portals become important during disruptions to in-person health care, like when cases of coronavirus disease 2019 (COVID-19) and other respiratory viruses rise, yet underlying structural inequalities associated with race, socio-economic status, and other socio-demographic characteristics may affect their use. We analyzed a population-based survey to identify disparities within the United States in access to online portals during the early period of COVID-19 in 2020.

MATERIALS AND METHODS

The National Cancer Institute fielded the 2020 Health and Information National Trends Survey from February to June 2020. We conducted multivariable analysis to identify socio-demographic characteristics of US patients who were offered and accessed online portals, and reasons for nonuse.

RESULTS

Less than half of insured adult patients reported accessing an online portal in the prior 12 months, and this was less common among patients who are male, are Hispanic, have less than a college degree, have Medicaid insurance, have no regular provider, or have no internet. Reasons for nonuse include: wanting to speak directly to a provider, not having an online record, concerns about privacy, and discomfort with technology.

DISCUSSION

Despite the rapid expansion of digital health technologies due to COVID-19, we found persistent socio-demographic disparities in access to patient portals. Ensuring that digital health tools are secure, private, and trustworthy would address some patient concerns that are barriers to portal access.

CONCLUSION

Expanding the use of online portals requires explicitly addressing fundamental inequities to prevent exacerbating existing disparities, particularly during surges in cases of COVID-19 and other respiratory viruses that tax health care resources.

Patient Identification of Diagnostic Safety Blindspots and Participation in "Good Catches" Through Shared Visit Notes

Policy Points Patients and families can identify clinically relevant errors, including "blindspots"-safety hazards that are difficult for clinicians or organizations to see. Health information transparency, including patient access to electronic visit notes, now federally mandated in the US and the subject of policy debate worldwide, creates a new opportunity to engage patients in diagnostic safety. However, not all patients access notes. Patient identification of blindspots in their notes underscores the need to systematically and equitably engage willing patients in safety, promote patient "good catches," and establish routine systems for patient feedback to help avoid preventable diagnostic errors and delays.

CONTEXT

Policy shifts toward health information transparency provide a new opportunity for patients to contribute to diagnostic safety. We investigated whether sharing clinical notes with patients can support identification of "diagnostic safety blindspots"-potentially consequential breakdowns in the diagnostic process that may be difficult for clinical staff to observe.

METHOD

We used mixed methods to analyze patient-reported ambulatory documentation errors among 22,889 patients at three US health care centers who read ≥ 1 visit note(s). We identified blindspots by tailoring a previously established taxonomy. We used multiple regression analysis to identify factors associated with blindspot identification.

FINDINGS

774 patients reported a total of 962 blindspots in 4 categories: (1) diagnostic misalignments (n = 421, 43.8%), including inaccurate symptoms or histories and failures or delay in diagnosis; (2) errors of omission (38.1%) including missed main concerns or next steps, and failure to listen to patients; (3) problems occurring outside visits (14.3%) such as tests, referrals, or appointment access; and (4) multiple low-level problems (3.7%) cascading into diagnostic breakdowns. Many patients acted on the blindspots they identified, resulting in "good catches" that may prevent potential negative consequences. Older, female, sicker, unemployed or disabled patients, or those who work in health care were more likely to identify a blindspot. Individuals reporting less formal education; those self-identifying as Black, Asian, other, or multiple races; and participants who deferred decision-making to providers were less likely to report a blindspot.

CONCLUSION

Patients who read notes have unique insight about potential errors in their medical records that could impact diagnostic reasoning but may not be known to clinicians-underscoring a critical role for patients in diagnostic safety and organizational learning. From a policy standpoint, organizations should encourage patient review of visit notes, build systems to track patient-reported blindspots, and promote equity in note access and blindspot reporting.

Real-Time Patient Portal Use Among Emergency Department Patients: An Open Results Study

OBJECTIVES

We characterized real-time patient portal test result viewing among emergency department (ED) patients and described patient characteristics overall and among those not enrolled in the portal at ED arrival.

METHODS

Our observational study at an academic ED used portal log data to trend the proportion of adult patients who viewed results during their visit from May 04, 2021 to April 04, 2022. Correlation was assessed visually and with Kendall's τ. Covariate analysis using binary logistic regression assessed result(s) viewed as a function of time accounting for age, sex, ethnicity, race, language, insurance status, disposition, and social vulnerability index (SVI). A second model only included patients not enrolled in the portal at arrival. We used random forest imputation to account for missingness and Huber-White heteroskedasticity-robust standard errors for patients with multiple encounters (α = 0.05).

RESULTS

There were 60,314 ED encounters (31,164 unique patients). In 7,377 (12.2%) encounters, patients viewed results while still in the ED. Patients were not enrolled for portal use at arrival in 21,158 (35.2%) encounters, and 927 (4.4% of not enrolled, 1.5% overall) subsequently enrolled and viewed results in the ED. Visual inspection suggests an increasing proportion of patients who viewed results from roughly 5 to 15% over the study (Kendall's τ = 0.61 [p <0.0001]). Overall and not-enrolled models yielded concordance indices (C) of 0.68 and 0.72, respectively, with significant overall likelihood ratio χ 2 (p <0.0001). Time was independently associated with viewing results in both models after adjustment. Models revealed disparate use between age, race, ethnicity, SVI, sex, insurance status, and disposition groups.

CONCLUSION

We observed increased portal-based test result viewing among ED patients over the year since the 21st Century Cures act went into effect, even among those not enrolled at arrival. We observed disparities in those who viewed results.

Factors Enhancing Trust in Electronic Communication Among Patients from an Internal Medicine Clinic: Qualitative Results of the RECEPT Study

BACKGROUND

Electronic health records are now the norm in US healthcare. Bidirectional patient portals allow frequent communication between patients and their healthcare team. Many studies have examined the importance of patient engagement and trust between patients and their healthcare team, typically in the context of face-to-face interactions. Little is known about how patient trust and engagement are built or enhanced through electronic communications. COVID-19 provided a unique time in history for this novel exploration.

OBJECTIVE

Our objective was to learn how patients experience trust formation through electronic communication (patient messaging and video visits) with their healthcare team.

DESIGN

Our research was guided by grounded theory methodology. Qualitative interviews were conducted between February and December 2020 with patients or their caregivers from an internal medicine clinic in Colorado.

PARTICIPANTS

Fifty-one participants were recruited by age group and gender to represent the clinic's adult ambulatory care demographics. Seven were patients' caregivers who were purposefully recruited. Average age was 53 with an educated, middle class, and largely white predominance in our eventual sample.

APPROACH

Thirty-minute semi-structured interviews were conducted using an interview guide informed by a validated physician-patient trust scale. Interviews were conducted by telephone, recorded via Zoom, and transcribed. Results were analyzed and coded in ATLAS.ti utilizing the constant comparative method, with two coders.

KEY RESULTS

Patients experienced enhanced trust in their healthcare team through electronic communications. Interpersonal and system factors contributed to trust formation. Promptness of reply was the most salient factor in trust formation with a majority desiring same day response.

CONCLUSIONS

Patients now rely on electronic communication with their healthcare team. Opportunities exist to leverage this to improve health outcomes. Important research in expanded demographic groups, along with ambulatory healthcare redesign, will be necessary to optimize benefits of electronic communication with patients and meet patient expectations.

Non-English Language Preference Associated With Decreased Rheumatology Telehealth Use During the COVID-19 Pandemic

OBJECTIVE

The study objective was to assess sociodemographic disparities in telehealth use among patients in an urban adult rheumatology clinic during the coronavirus disease 2019 (COVID-19) pandemic.

METHODS

In this retrospective cohort study, patient-level sociodemographic data associated with all rheumatology visits in the following two periods were reviewed: pre-COVID-19 (March 1, 2019 to February 28, 2020) and COVID-19 (April 1, 2020 to March 31, 2021). Data were extracted from the electronic health record. Multivariable logistic regression analyses were performed to determine sociodemographic factors associated with video visits during the COVID-19 period.

RESULTS

In the pre-COVID-19 period, 1503 patients completed 3837 visits (100% in person). In the COVID-19 period, 1442 patients completed 3406 visits: 41% in person, 30% video, and 29% telephone only. Several factors were associated with decreased video use: preference for Spanish language (adjusted odds ratio [aOR] 0.27, 95% confidence interval [CI] 0.15-0.47) or other non-English languages (aOR 0.34, 95% CI 0.21-0.55), Black or African American race/ethnicity (aOR 0.50, 95% CI 0.35-0.73), Medicaid payer, and increasing age.

CONCLUSION

Decreased video visit use among rheumatology patients was associated with non-English language preference, minority race/ethnicity, increasing age, and indicators of low income. Rapid deployment and expansion of telehealth during the COVID-19 pandemic likely has improved access for some but widened preexisting disparities for others. As medical care evolves toward ongoing digital care delivery, clarifying and addressing causes of telehealth disparities is essential for delivering equitable health care.

Novel Quality Measure Set: Closing the Completion Loop on Radiology Follow-up Recommendations for Noncritical Actionable Incidental Findings

BACKGROUND

Care gaps occur when radiology follow-up recommendations are poorly communicated or not completed, resulting in missed or delayed diagnosis potentially leading to worse patient outcomes. This ACR-led initiative assembled a technical expert panel (TEP) to advise development of quality measures intended to improve communication and drive increased completion rates for radiology follow-up recommendations.

MATERIALS AND METHODS

A multistakeholder TEP was assembled to advise the development of quality measures. The project scope, limited to noncritical actionable incidental findings (AIFs), encourages practices to develop and implement systems ensuring appropriate communication and follow-up to completion.

RESULTS

A suite of nine measures were developed: four outcome measures include closing the loop on completion of radiology follow-up recommendations for nonemergent AIFs (with pulmonary nodule and abdominal aortic aneurysm use cases) and overall cancer diagnoses. Five process measures address communication and tracking of AIFs: inclusion of available evidence or guidelines informing the recommendation, communication of AIFs to the practice managing ongoing care, identifying when AIFs have been communicated to the patient, and employing tracking and reminder systems for AIFs.

CONCLUSION

This ACR-led initiative developed a measure set intended to improve patient outcomes by ensuring that AIFs are appropriately communicated and followed up. The intent of these measures is to focus improvement on specific areas in which gaps in communication and AIF follow-up may occur, prompting systems to devote resources that will identify and implement solutions to improve patient care.

Socioeconomic deprivation, age and language are barriers to accessing personal health records: a cross-sectional study of a large hospital-based personal health record system

OBJECTIVES

To investigate barriers to accessing a hospital-based personal health record (PHR) system.

DESIGN

Retrospective cross-sectional study.

SETTING

This study was conducted in a large secondary and tertiary acute care trust in Birmingham, UK.

PARTICIPANTS

Data were collected from 28 637 patients who attended liver medicine, diabetes, renal medicine or endocrinology specialist outpatient clinics from 1 June 2017 to 31 May 2018.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome measure was sign up to and activation of the PHR. The secondary outcomes were the use of the PHR, defined as the number of logons and frequency of access of specific PHR functions.

RESULTS

8070 patients (28.2%) were signed up to the PHR and 4286 patients (53.1% of those signed up) went on to activate their PHR account. Patients aged 75 years and older were significantly less likely to be signed up (adjusted OR, aOR 0.40, 95% CI 0.36 to 0.44) or to activate (aOR 0.39, 0.32 to 0.47) their PHR than patients aged 35-54. Patients who did not need an interpreter were more likely to be signed up (aOR 1.63, 95% CI 1.33 to 1.99) and to activate (aOR 3.16, 95% CI 1.96 to 5.09) their PHR. Patients living in the least deprived areas were more than twice as likely to be signed up (aOR 2.31, 95% CI 2.04 to 2.63), and were three times more likely to activate their PHR (aOR 2.99, 95% CI 2.40 to 3.71), than those in the most deprived.

CONCLUSION

Socioeconomic deprivation, older age and non-English language were significant barriers to accessing a hospital-based PHR. Strategies are needed to account for these factors to ensure that PHRs do not widen health inequalities.

Outpatient portal use in prenatal care: differential use by race, risk, and area social determinants of health

To report the relationship of outpatient portal (OPP) use with clinical risk, area social determinants of health (SDoH), and race/ethnicity among pregnant women. Regression models predicting overall and individual portal feature use (main effects and interactions) based on key variables were specified using log files and clinical data. Overall OPP use among non-Hispanic Black women or patients who lived in lower SDoH neighborhoods were significantly less. High-risk pregnancy patients were likely to use the OPP more than those with normal-risk pregnancy. We found similar associations with individual OPP features, like Visit (scheduling) and My Record (test results). We also found significant interactive associations between race/ethnicity, clinical risk, and SDoH. Non-Hispanic Black women and those living in lower SDoH areas used OPP less than non-Hispanic White women from similar or affluent areas. More research must be conducted to learn of OPP use implications for pregnant women with specific clinical diagnoses.

Examining How Internet Users Trust and Access Electronic Health Record Patient Portals: Survey Study

Background

Electronic health record (EHR) patient portals are designed to provide medical health records to patients. Using an EHR portal is expected to contribute to positive health outcomes and facilitate patient-provider communication.

Objective

Our objective was to examine how portal users report using their portals and the factors associated with obtaining health information from the internet. We also examined the desired portal features, factors impacting users’ trust in portals, and barriers to using portals.

Methods

An internet-based survey study was conducted using Amazon Mechanical Turk. All the participants were adults in the United States who used patient portals. The survey included questions about how the participants used their portals, what factors acted as barriers to using their portals, and how they used and how much they trusted other web-based health information sources as well as their portals. A logistic regression model was used to examine the factors influencing the participants’ trust in their portals. Additionally, the desired features and design characteristics were identified to support the design of future portals.

Results

A total of 394 participants completed the survey. Most of the participants were less than 35 years old (212/394, 53.8%), with 36.3% (143/394) aged between 35 and 55 years, and 9.9% (39/394) aged above 55 years. Women accounted for 48.5% (191/394) of the survey participants. More than 78% (307/394) of the participants reported using portals at least monthly. The most common portal features used were viewing lab results, making appointments, and paying bills. Participants reported some barriers to portal use including data security and limited access to the internet. The results of a logistic regression model used to predict the trust in their portals suggest that those comfortable using their portals (odds ratio [OR] 7.97, 95% CI 1.11-57.32) thought that their portals were easy to use (OR 7.4, 95% CI 1.12-48.84), and frequent internet users (OR 43.72, 95% CI 1.83-1046.43) were more likely to trust their portals. Participants reporting that the portals were important in managing their health (OR 28.13, 95% CI 5.31-148.85) and that their portals were a valuable part of their health care (OR 6.75, 95% CI 1.51-30.11) were also more likely to trust their portals.

Conclusions

There are several factors that impact the trust of EHR patient portal users in their portals. Designing easily usable portals and considering these factors may be the most effective approach to improving trust in patient portals. The desired features and usability of portals are critical factors that contribute to users’ trust in EHR portals.

Patient Portals: Useful for Whom and for What? A Cross-Sectional Analysis of National Survey Data

BACKGROUND

Patients who use patient portals may be more engaged and empowered in their care; however, differences in who accesses patient portals remain. The characteristics of who uses patient portals more frequently and who perceives them as useful may also differ, as well as which functions people use.

OBJECTIVE

We assessed the characteristics of patient portal users to examine who uses them more frequently and who perceives them as useful. In addition, we wanted to see if those who use them more frequently or perceive them to be more useful use different functions or more functions of patient portals.

METHODS

Pooled cross-sectional data from 2017 to 2018 Health Information National Trends Survey (HINTS) were used. Ordinal regression models were developed to assess frequency of use and perceived usefulness by demographics, and multivariable logistic regression models were used to examine the association between the use of 10 patient portal functions and frequency of use and perceived usefulness of patient portals.

RESULTS

The odds of using patient portals more frequently were higher among those with Bachelor's degrees, incomes between $35,000 and $75,000, and those with two or more chronic conditions. Respondents with three or more chronic conditions had higher odds of rating patient portals as useful. Those who used their patient portal 10 or more times in the past year had higher odds of using all functions except for viewing test results compared with those who used their patient portal one to two times per year. Those who rated patient portals as "very useful" had higher odds of using seven of the functions compared with those who rated them "not very"/"not at all useful."

CONCLUSION

It is important to continue to assess usefulness, frequency of use, and overall patient portal function use to identify opportunities to increase patient engagement with patient portals.

Association between Patient Portal use and Office Visits

Extant research on the relationship between portal use and office visits is mixed. Some researchers have stated that there is no correlation between the two events, others have found a positive correlation, and still others have found a negative correlation between portal use and office visits. Through the use of system-generated data from two different portal systems, we demonstrate the correlation between portal visits and office visits. We also demonstrate how this correlation differs between two institutions and across three demographic attributes. We performed a retrospective bivariate correlation analysis between portal visits and office visits. The correlation analysis was followed by an application of Fisher's z transformation of the correlation coefficients to determine significant differences in correlation across ethnicity, gender, and age. We found a positive and statistically significant correlation between portal visits and office visits among both hospital patients (n = 2,594, r = .239, p < .000) and university health service patients (n = 1,233, r = .596, p < .000). This correlation varies significantly across the dimensions of ethnicity, gender, and age. Our findings support the importance of portal use in the care continuum. Future research should aim to better understand the nuance of personal characteristics on the relationship between portal visits and office visits. Knowing these nuances can assist practitioners with further promoting patient self-engagement through portal use.