Exploring the Digital Divide: Age and Race Disparities in Use of an Inpatient Portal

A Preliminary Examination of a Novel Telepractice Screening Protocol for Poststroke Aphasia

BACKGROUND

The delivery of telepractice interventions for people with poststroke aphasia has been found effective and feasible compared to traditional, in-person interventions; however, telepractice assessments, particularly screening protocols, which may foster convenient access to aphasia diagnostic services, have received limited examination within the aphasia literature. Therefore, the purpose of this study was to examine a novel telepractice screening protocol for people with poststroke aphasia that assesses both language and extralinguistic cognitive abilities via both performance-based and patient-reported measures.

METHOD

Twenty-one participants with previously diagnosed poststroke aphasia completed the telepractice administration of the Frenchay Aphasia Screening Test (FAST), the Aphasia Impact Questionnaire-21 (AIQ-21), the Oxford Cognitive Screen (OCS), and the Cognitive-Communication Checklist for Acquired Brain Injury (CCCABI). Care partners of the participants completed the Communicative Effectiveness Index (CETI). After the telepractice session, each participant completed a feasibility questionnaire to rate their overall experience.

RESULTS

All participants screened as having aphasia. Pearson correlation analyses yielded a strong positive relationship between OCS and FAST scores (r = .74), a strong relationship between OCS and CCCABI scores (r = -.71), and a moderate relationship between FAST and AIQ-21 scores (r = -.35). Moderate relationships were noted between the performance-based measures and the CETI (r = .30). The overall feasibility of telepractice administration was rated positively by each participant. No significant relationships were found between the feasibility responses and participant characteristics.

CONCLUSIONS

Overall, the telepractice screening protocol yielded an effective and feasible way to identify poststroke aphasia. Similar to in-person administration of screening measures, it was more difficult to identify milder levels of aphasia severity. Future research should examine whether this telescreening protocol can identify poststroke aphasia within the broader stroke population.

Evaluating the Efficacy of a Digital Therapeutic (CT-152) as an Adjunct to Antidepressant Treatment in Adults With Major Depressive Disorder: Protocol for the MIRAI Remote Study

BACKGROUND

Major depressive disorder (MDD) is common worldwide and can be highly disabling. People with MDD face many barriers to treatment and may not experience full symptom relief even when treated. Therefore, new treatment modalities are needed for MDD. Digital therapeutics (DTx) may provide people with MDD an additional treatment option.

OBJECTIVE

This study aimed to describe a phase 3 remote, multicenter, randomized, masked, sham-controlled trial evaluating the efficacy of a smartphone app-based DTx (CT-152) in adult participants diagnosed with MDD, used as an adjunct to antidepressant therapy (ADT).

METHODS

Participants aged 22-64 years with a current primary diagnosis of MDD and an inadequate response to ADT were included. Participants were randomized 1:1 to CT-152 or a sham DTx. CT-152 is a smartphone app-based DTx that delivers a cognitive-emotional and behavioral therapeutic intervention. The core components of CT-152 are the Emotional Faces Memory Task exercises, brief lessons to learn and apply key therapeutic skills, and SMS text messaging to reinforce lessons and encourage engagement with the app. The sham DTx is a digital working memory exercise with emotionally neutral stimuli designed to match CT-152 for time and attention. Participants took part in the trial for up to 13 weeks. The trial included a screening period of up to 3 weeks, a treatment period of 6 weeks, and an extension period of 4 weeks to assess the durability of the effect. Sites and participants had the option of an in-person or remote screening visit; the remaining trial visits were remote. Efficacy was evaluated using the Montgomery-Åsberg Depression Rating Scale, the Generalized Anxiety Disorder-7, Clinical Global Impression-Severity scale, the Patient Health Questionnaire-9, and the World Health Organization Disability Assessment Schedule 2.0. The durability of the effect was evaluated with the Montgomery-Åsberg Depression Rating Scale and Generalized Anxiety Disorder-7 scale. Adverse events were also assessed. Satisfaction, measured by the Participant and Healthcare Professional Satisfaction Scales, and health status, measured by the EQ-5D-5L, were summarized using descriptive statistics.

RESULTS

This study was initiated in February 2021 and had a primary completion date in October 2022.

CONCLUSIONS

This represents the methodological design for the first evaluation of CT-152 as an adjunct to ADT. This study protocol is methodologically robust and incorporates many aspects of conventional pivotal pharmaceutical phase 3 trial design, such as randomization and safety end points. Novel considerations included the use of a sham comparator, masking considerations for visible app content, and outcome measures relevant to DTx. The rigor of this methodology will provide a more comprehensive understanding of the effectiveness of CT-152.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04770285; https://clinicaltrials.gov/study/NCT04770285.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR1-10.2196/56960.

Sociodemographic Factors Associated With Using eHealth for Information Seeking in the United States: Cross-Sectional Population-Based Study With 3 Time Points Using Health Information National Trends Survey Data

BACKGROUND

Despite the potential benefits of using eHealth, sociodemographic disparities exist in eHealth use, which threatens to further widen health equity gaps. The literature has consistently shown age and education to be associated with eHealth use, while the findings for racial and ethnic disparities are mixed. However, previous disparities may have narrowed as health care interactions shifted to web-based modalities for everyone because of the COVID-19 pandemic.

OBJECTIVE

This study aims to provide an updated examination of sociodemographic disparities that contribute to the health equity gap related to using eHealth for information seeking using 3 time points.

METHODS

Data for this study came from the nationally representative 2018 (n=3504), 2020 (n=3865), and 2022 (n=6252) time points of the Health Information National Trends Survey. Logistic regression was used to regress the use of eHealth for information seeking on race and ethnicity, sex, age, education, income, health status, and year of survey. Given the consistent association of age with the dependent variable, analyses were stratified by age cohort (millennials, Generation X, baby boomers, and silent generation) to compare individuals of similar age.

RESULTS

For millennials, being female, attaining some college or a college degree, and reporting an annual income of US $50,000-$74,999 or >US $75,000 were associated with the use of eHealth for information seeking. For Generation X, being female, having attained some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, better self-reported health, and completing the survey in 2022 (vs 2018; odds ratio [OR] 1.80, 95% CI 1.11-2.91) were associated with the use of eHealth for information seeking. For baby boomers, being female, being older, attaining a high school degree, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2020 (OR 1.56, 95% CI 1.15-2.12) and 2022 (OR 4.04, 95% CI 2.77-5.87) were associated with the use of eHealth for information seeking. Among the silent generation, being older, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2022 (OR 5.76, 95% CI 3.05-10.89) were associated with the use of eHealth for information seeking.

CONCLUSIONS

Baby boomers may have made the most gains in using eHealth for information seeking over time. The race and ethnicity findings, or lack thereof, may indicate a reduction in racial and ethnic disparities. Disparities based on sex, education, and income remained consistent across all age groups. This aligns with health disparities literature focused on individuals with lower socioeconomic status, and more recently on men who are less likely to seek health care compared to women.

Telemedicine Use Before and During the COVID-19 Pandemic in People with Alzheimer's Disease, Multiple Sclerosis, or Parkinson's Disease: A Cross-Sectional Study Using US Commercial Claims Data

Background

During the COVID-19 pandemic, use of telemedicine (TM) increased dramatically, but it is unclear how use varies by characteristics of people with Alzheimer's disease (AD), multiple sclerosis (MS), or Parkinson's disease (PD).

Methods

This cross-sectional study used US PharMetrics Plus commercial claims data from January 1, 2019, to December 31, 2021. TM use (≥1 Current Procedural Terminology code) was assessed in each study year (2019, 2020, and 2021) among people with ≥1 inpatient or ≥2 outpatient diagnosis codes ≥30 days apart for AD, MS, or PD. Any TM use and disease-related visits (AD, MS, or PD diagnosis code within TM claim) were summarized, and characteristics of TM users versus nonusers during the pandemic (2020 and 2021) were described.

Results

Among people with AD, MS, or PD, 0.9% used TM in 2019 versus 58.0% in 2020 and 42.5% in 2021. Among TM users in 2020 and 2021, the majority had TM visits related to their neurological disorder (73.2% and 64.6%, respectively). During the pandemic, approximately 25% of total TM visits (n = 296,434) were provided by a neurologist. Mean (SD) age of TM users was similar to nonusers (60.5 [15.1] and 61.5 [15.3] years), but TM users were more likely to be female (62% vs 60%), enrolled in Medicare (33% vs 30%), and reside in western (64.2% vs 35.8%) or eastern (61.0% vs 39.0%) regions versus nonusers.

Conclusions

Although results indicate expanded use of and access to TM among people with AD, MS, or PD, differences in patient and health care provider characteristics for TM use were notable.

Digital health technologies and inequalities: A scoping review of potential impacts and policy recommendations

Digital health technologies hold promises for reducing health care costs, enhancing access to care, and addressing labor shortages. However, they risk exacerbating inequalities by disproportionately benefitting a subset of the population. Use of digital technologies accelerated during the Covid-19 pandemic. Our scoping review aimed to describe how inequalities related to their use were conceptually assessed during and after the pandemic and understand how digital strategies and policies might support digital equity. We used the PRISMA Extension for scoping reviews, identifying 2055 papers through an initial search of 3 databases in 2021 and complementary search in 2022, of which 41 were retained. Analysis was guided by the eHealth equity framework. Results showed that digital inequalities were reported in the U.S. and other high-income countries and were mainly assessed through differences in access and use according to individual sociodemographic characteristics. Health disparities related to technology use and the interaction between context and technology implementation were more rarely documented. Policy recommendations stressed the adoption of an equity lens in strategy development and multilayered and intersectoral collaboration to align interventions with the needs of specific subgroups. Finally, findings suggested that evaluations of health and wellbeing distribution related to the use of digital technologies should inform digital strategies and health policies.

Use of a Smartphone Application to Promote Adherence to Oral Medications in Patients With Breast Cancer

PURPOSE

Medication nonadherence is common among patients with breast cancer (BC) and increases BC mortality and complications from comorbidities. There is growing interest in mobile health interventions such as smartphone applications (apps) to promote adherence.

METHODS

Use of Medisafe, a medication reminder and tracking app, was tested over 12 weeks among patients on BC treatment and at least one oral medication. Study participants were instructed to generate adherence reports every 4 weeks through Medisafe and were deemed to have completed the intervention if >50% of reports were generated. The primary end point was feasibility of the intervention, defined as a completion rate of ≥75% of consented patients. Secondary end points included changes in self-reported nonadherence from baseline to 12 weeks and patient-reported outcomes including reasons for nonadherence and satisfaction with Medisafe. We conducted univariable and multivariable analyses to evaluate demographic and clinical factors associated with intervention completion.

RESULTS

Among 100 patients enrolled, 78 (78.0%) completed the intervention. Age, race, ethnicity, clinical stage, and type of medication were not associated with odds of intervention completion. Self-reported nonadherence rates did not improve from baseline to postintervention in the overall study population. However, among patients with self-reported nonadherence at baseline, 26.3% reported adherence postintervention; these patients frequently reported logistical barriers to adherence. Study participants reported high levels of satisfaction with Medisafe, noting that the app was highly functional and provided high-quality information.

CONCLUSION

Smartphone apps such as Medisafe are feasible and associated with high patient satisfaction. They may improve adherence in nonadherent patients and those who face logistical challenges interfering with medication-taking. Future trials of mobile health interventions should target patients at high risk for medication nonadherence.

Interpretation of immediately released health information: Informing patient medical education in breast oncology

BACKGROUND

The Cures Act mandated immediately released health information. In this study, we investigated patient comprehension of mammography reports and the utility of online resources to aid report interpretation.

METHODS

Patients who received a normal mammogram from February to April 2022 were invited to complete semi-structured interviews paired with health literacy questionnaires to assess patient's report comprehension before and after internet search.

RESULTS

Thirteen selected patients via purposeful sampling completed interviews. Most patients described their initial understanding of the mammography report as "good" and improved to between "good" and "very good" after an internet search. Patients suggested "a little column on the side" for medical terminology, "an extra prompt" for making an appointment, or a recommendation for "good sites" to improve mammography reports.

CONCLUSION

Patients varied in their ability to independently interpret medical reports and seek additional resources. While online resources marginally improved patient understanding, actionable and clear resources are needed.

Telemedicine and Disparities in Mental Health Service Use Among Community-Dwelling Older Adults With Alzheimer Disease and Related Dementias

OBJECTIVE

To examine disparities in mental health (MH) service utilization, via in-person and telemedicine (ie, tele-MH), by individuals' race, ethnicity, and community socioeconomic status, among community-dwelling older adults with Alzheimer disease and related dementias (ADRD) before and after the expansion of the Centers for Medicare and Medicaid Services' (CMS's) telemedicine policy.

DESIGN

Observational study.

SETTING AND PARTICIPANTS

A total of 3,003,571 community-dwelling Medicare beneficiaries with ADRD between 2019 and 2021 were included in the study.

METHODS

Multiple national data were linked. The unit of analysis was individual-quarter. Three outcomes were defined: any MH visits (in-person or tele-MH), in-person MH visits, and tele-MH visits per quarter. Key independent variables included individual race and ethnicity, the socioeconomic status of the community, and an indicator for the implementation of the telemedicine policy. Regression analyses with individual random effects were used.

RESULTS

In general, Black and Hispanic older adults with ADRD and those in socioeconomically deprived communities were less likely to have MH visits than white adults and those from less-deprived communities. In-person and tele-MH visits varied throughout the pandemic and across subpopulations. For instance, at the beginning of the pandemic, white, Black, and Hispanic older adults experienced 5.05, 3.03, and 2.87 percentage point reductions in in-person MH visits, and 3.53, 1.26, and 0.32 percentage point increases in tele-MH visits (with P < .01 for racial/ethnic differences), respectively. During the pandemic, the increasing trend in in-person MH visits and the decreasing trend in tele-MH visits varied across different subgroups. Overall, racial and ethnic differences in any MH visits were reduced, but the gap in any MH visits between deprived and less-deprived communities doubled during the pandemic (P < .01).

CONCLUSIONS AND IMPLICATIONS

Telemedicine may have provided an opportunity to improve access to MH services among underserved populations. However, although some disparities in MH care were reduced, others widened, underscoring the importance of equitable health care access strategies to address the unique needs of different populations.

Access to Otolaryngologic Telemedicine Care Across the COVID-19 Pandemic at an Urban Tertiary Hospital System

Objective: To describe associations between patients' demographic characteristics and access to telemedicine services in an urban tertiary academic medical system across the COVID-19 pandemic, and to identify potential barriers to access. Methods: This was a retrospective cohort study conducted at a single-center tertiary academic medical center. The study included adult patients undergoing outpatient otolaryngologic care in person or via telemedicine during 8 week timeframes: before the pandemic, at the onset of the pandemic, and during later parts of the pandemic. Patients were characterized by age, sex, race, insurance type, primary language, portal activation status, income estimate, and visit type. Where appropriate, chi-squared tests, Wilcoxon signed-rank tests, and logistic regression were used to compare demographic factors between the cohorts. Results: A total of 14,240 unique patients [median age, 58 years (range, 18-107 years); 56.5% were female] resulting in a total of 29,457 visits (94.8% in-person and 5.2% telemedicine) were analyzed. Patients seen in person were older than those using telemedicine. Telemedicine visits included a higher proportion of patients with private insurance, and fewer patients with government or no insurance compared to in-person visits. Race, income, and English as primary language were not found to have a significant effect on telemedicine use. Conclusion: In an urban tertiary medical center, we found significant differences in sociodemographic characteristics between patients who accessed otolaryngologic care in person versus via telemedicine through different phases of the COVID pandemic, reflecting possible barriers to care associated with telemedicine. Further studies are needed to develop interventions to improve access.

Impact of COVID-19 on Infants followed after Discharge from the Neonatal Intensive Care Unit Using a Telemedicine Model

OBJECTIVE

Coronavirus disease 2019 (COVID-19) continues to have a profound impact on infant health care and health outcomes. In this study, we aimed to characterize the social impact of the first COVID-19 lockdown on families in a neonatal follow-up program (NFP). Given the ongoing increased use of telehealth across the medicine, we also evaluated for patient-level differences in virtual visit rates to identify patients at risk of follow-up challenges.

STUDY DESIGN

To assess the impact of virtual health care utilization, we conducted a retrospective cohort study to describe challenges associated with telemedicine use in this vulnerable patient population during our telemedicine epoch (March 13, 2020-July 31, 2020). We also looked for patient-level factors associated with attending NFP visits as scheduled. Finally, we summarized caregiver responses to a COVID-19 Obstacles Assessment Survey and assessed for racial disparities in these responses.

RESULTS

When comparing patients who completed their virtual visit to those who did not, we found no differences by infants' sex, birth weight, gestational age at birth, or caregiver self-reported race and ethnicity. However, infants whose visits did not occur were more often discharged with equipment or covered by public insurance. Nine percent of families reported food insecurity.

CONCLUSION

During the initial COVID-19 lockdown, families with infants discharged from a neonatal intensive care unit (NICU) faced significant obstacles caring for their infants and attending scheduled follow-up visits. Infants in families with lower socioeconomic status or with increased medical complexity faced increased challenges in attending virtual follow-up visits during this epoch. Given the ongoing reliance on telemedicine in health care and the need to better prepare for future epidemics/pandemics, this study offers critical information that can assist neonatal teams in bolstering transitions to home and creating stronger safety nets for their patients after discharge.

KEY POINTS

· Telemedicine works well for high-risk neonatal populations.. · Infant medical complexity may be a risk factor for challenges attending neonatal follow-up visits.. · NICUs should work to prevent food insecurity postdischarge..

Attitudes toward telemedicine among urban and rural residents

INTRODUCTION

Adoption of telemedicine by healthcare facilities has dramatically increased since the start of coronavirus pandemic; yet, major differences exist in universal acceptance of telemedicine across different population groups. The goal of this study was to examine population-based factors associated with current and/or future use of telemedicine in Alabama.

METHODS

A cross-sectional survey was administered to 532 participants online or by phone, in four urban and eight rural counties in Alabama. Data were collected on: demographics, health insurance coverage, medical history, access to technology, and its use in accessing healthcare services. Generalized logit regression models were used to estimate the odds of choosing "virtual visit" and "phone communication" compared to "in-person visit" for the preferred choice of visit with the healthcare provider; as well as odds for willingness to participate in "virtual visit" in the future.

RESULTS

Our study sample had a mean age of 43 (±15) years, 72.9% women, 45.9% Black or African American; 59.4% population living in an urban county. The odds of "phone communication" were higher compared to the odds of "in-person visit", with a unit increase in age (odds ratio: 1.02, 95% confidence interval: 1.00-1.03), after adjusting for other covariates. Among participants with past experience of virtual communications, the odds for choosing "virtual visit" were significantly higher compared to choice of in-person visit (odds ratio for virtual visit: 3.23, 95% confidence interval: 2.01-5.18), adjusted for other covariates. Further, people with college or more education were 71% less likely to choose "No" compared to those with high school or lower general education development education for future virtual visit [odds ratio for college or more: 0.29, 95% confodence interval: 0.10-0.87). Likewise, participants residing in rural counties were 57% less likely to choose "No" compared to urban counties for future virtual visit (odds ratio for rural participants: 0.43, 95% confidence interval:0.19-0.97).

DISCUSSION

Our study found notable differences in age, education, and rurality for use and/or preference for telemedicine. Medical institutions and healthcare providers will need to account for these differences to ensure that the implementation of telemedicine does not exacerbate existing health disparities.

Associations between digital literacy, health literacy, and digital health behaviors among rural residents: evidence from Zhejiang, China

OBJECTIVE

Within the digital society, the limited proficiency in digital health behaviors among rural residents has emerged as a significant factor intensifying health disparities between urban and rural areas. Addressing this issue, enhancing the digital literacy and health literacy of rural residents stands out as a crucial strategy. This study aims to investigate the relationship between digital literacy, health literacy, and the digital health behaviors of rural residents.

METHODS

Initially, we developed measurement instruments aimed at assessing the levels of digital literacy and health literacy among rural residents. Subsequently, leveraging micro survey data, we conducted assessments on the digital literacy and health literacy of 968 residents in five administrative villages in Zhejiang Province, China. Building upon this foundation, we employed Probit and Poisson models to empirically scrutinize the influence of digital literacy, health literacy, and their interaction on the manifestation of digital health behaviors within the rural population. This analysis was conducted from a dual perspective, evaluating the participation of digital health behaviors among rural residents and the diversity to which they participate in such behaviors.

RESULTS

Digital literacy exhibited a notably positive influence on both the participation and diversity of digital health behaviors among rural residents. While health literacy did not emerge as a predictor for the occurrence of digital health behavior, it exerted a substantial positive impact on the diversity of digital health behaviors in the rural population. There were significant interaction effects between digital literacy and health literacy concerning the participation and diversity of digital health behaviors among rural residents. These findings remained robust even after implementing the instrumental variable method to address endogeneity issues. Furthermore, the outcomes of robust analysis and heterogeneity analysis further fortify the steadfastness of the aforementioned conclusions.

CONCLUSION

The findings suggest that policymakers should implement targeted measures aimed at enhancing digital literacy and health literacy among rural residents. This approach is crucial for improving rural residents' access to digital health services, thereby mitigating urban-rural health inequality.

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.

Evaluating the Quality of Virtual Urgent Care: Barriers, Motivations, and Implementation of Quality Measures

BACKGROUND

Experts estimate virtual urgent care programs could replace approximately 20% of current emergency department visits. In the absence of widespread quality guidance to programs or quality reporting from these programs, little is known about the state of virtual urgent care quality monitoring initiatives.

OBJECTIVE

We sought to characterize ongoing quality monitoring initiatives among virtual urgent care programs.

APPROACH

Semi-structured interviews of virtual health and health system leaders were conducted using a pilot-tested interview guide to assess quality metrics captured related to care effectiveness and equity as well as programs' motivations for and barriers to quality measurement. We classified quality metrics according to the National Quality Forum Telehealth Measurement Framework. We developed a codebook from interview transcripts for qualitative analysis to classify motivations for and barriers to quality measurement.

KEY RESULTS

We contacted 13 individuals, and ultimately interviewed eight (response rate, 61.5%), representing eight unique virtual urgent care programs at primarily academic (6/8) and urban institutions (5/8). Most programs used quality metrics related to clinical and operational effectiveness (7/8). Only one program reported measuring a metric related to equity. Limited resources were most commonly cited by participants (6/8) as a barrier to quality monitoring.

CONCLUSIONS

We identified variation in quality measurement use and content by virtual urgent care programs. With the rapid growth in this approach to care delivery, more work is needed to identify optimal quality metrics. A standardized approach to quality measurement will be key to identifying variation in care and help focus quality improvement by virtual urgent care programs.

Attending physicians' annual service volume and use of virtual end-of-life care: A population-based cohort study in Ontario, Canada

IMPORTANCE

Physicians and their practice behaviors influence access to healthcare and may represent potentially modifiable targets for practice-changing interventions. Use of virtual care at the end-of-life significantly increased during the COVID-19 pandemic, but its association with physician practice behaviors, (e.g., annual service volume) is unknown.

OBJECTIVE

Measure the association of physicians' annual service volume with their use of virtual end-of-life care (EOLC) and the magnitude of physician-attributable variation in its use, before and during the pandemic.

DESIGN, SETTING AND PARTICIPANTS

Population-based cohort study using administrative data of all physicians in Ontario, Canada who cared for adults in the last 90 days of life between 01/25/2018-12/31/2021. Multivariable modified Poisson regression models measured the association between attending physicians' use of virtual EOLC and their annual service volume. We calculated the variance partition coefficients for each regression and stratified by time period before and during the pandemic.

EXPOSURE

Annual service volume of a person's attending physician in the preceding year.

MAIN OUTCOMES AND MEASURES

Delivery of ≥1 virtual EOLC visit by a person's attending physician and the proportion of variation in its use attributable to physicians.

RESULTS

Among the 35,825 unique attending physicians caring for 315,494 adults, use of virtual EOLC was associated with receiving care from a high compared to low service volume attending physician; the magnitude of this association diminished during the pandemic (adjusted RR 1.25 [95% CI 1.14, 1.37] pre-pandemic;1.10 (95% CI 1.08, 1.12) during the pandemic). Physicians accounted for 36% of the variation in virtual EOLC use pre-pandemic and 12% of this variation during the pandemic.

CONCLUSIONS AND RELEVANCE

Physicians' annual service volume was associated with use of virtual EOLC and physicians accounted for a substantial proportion of the variation in its use. Physicians may be appropriate and potentially modifiable targets for interventions to modulate use of EOLC delivery.

Developing user personas to capture intersecting dimensions of disadvantage in older patients who are marginalised: a qualitative study

BACKGROUND

Remote and digital services must be equitable, but some patients have difficulty using these services. Designing measures to overcome digital disparities can be challenging for practices. Personas (fictional cases) are a potentially useful tool in this regard.

AIM

To develop and test a set of personas to reflect the lived experiences and challenges that older people who are disadvantaged face when navigating remote and digital primary care services.

DESIGN AND SETTING

Qualitative study of digital disparities in NHS community health services offering video appointments.

METHOD

Following familiarisation visits and interviews with service providers, 17 older people with multiple markers of disadvantage (limited English, health conditions, and poverty) were recruited and interviewed using narrative prompts. Data were analysed using an intersectionality lens, underpinned by sociological theory. Combining data across all participant interviews, we produced personas and refined these following focus groups involving health professionals, patients, and advocates (n = 12).

RESULTS

Digital services create significant challenges for older patients with limited economic, social, and linguistic resources and low digital, health, or system literacy. Four contrasting personas were produced, capturing the variety and complexity of how dimensions of disadvantage intersected and influenced identity and actions. The personas illustrate important themes including experience of racism and discrimination, disorientation, discontinuity, limited presence, weak relationships, loss of agency, and mistrust of services and providers.

CONCLUSION

Personas can illuminate the multiple and intersecting dimensions of disadvantage in patient populations who are marginalised and may prove useful when designing or redesigning digital primary care services. Adopting an intersectional lens may help practices address digital disparities.

Care Partner Engagement in Secure Messaging Between Patients With Diabetes and Their Clinicians: Cohort Study

BACKGROUND

Patient engagement with secure messaging (SM) via digital patient portals has been associated with improved diabetes outcomes, including increased patient satisfaction and better glycemic control. Yet, disparities in SM uptake exist among older patients and racial and ethnic underserved groups. Care partners (family members or friends) may provide a means for mitigating these disparities; however, it remains unclear whether and to what extent care partners might enhance SM use.

OBJECTIVE

We aim to examine whether SM use differs among older patients with diabetes based on the involvement of care partner proxies.

METHODS

This is a substudy of the ECLIPPSE (Employing Computational Linguistics to Improve Patient-Provider Secure Emails) project, a cohort study taking place in a large, fully integrated health care delivery system with an established digital patient portal serving over 4 million patients. Participants included patients with type 2 diabetes aged ≥50 years, newly registered on the patient portal, who sent ≥1 English-language message to their clinician between July 1, 2006, and December 31, 2015. Proxy SM was identified by having a registered proxy. To identify nonregistered proxies, a computational linguistics algorithm was applied to detect words and phrases more likely to appear in proxy messages compared to patient-authored messages. The primary outcome was the annual volume of secure messages (sent or received); secondary outcomes were the length of time to the first SM sent by patient or proxy and the number of annual SM exchanges (unique message topics generating ≥1 reply).

RESULTS

The mean age of the cohort (N=7659) at this study's start was 61 (SD 7.16) years; 75% (n=5573) were married, 15% (n=1089) identified as Black, 10% (n=747) Chinese, 12% (n=905) Filipino, 13% (n=999) Latino, and 30% (n=2225) White. Further, 49% (n=3782) of patients used a proxy to some extent. Compared to nonproxy users, proxy users were older (P<.001), had lower educational attainment (P<.001), and had more comorbidities (P<.001). Adjusting for patient sociodemographic and clinical characteristics, proxy users had greater annual SM volume (20.7, 95% CI 20.2-21.2 vs 10.9, 95% CI 10.7-11.2; P<.001), shorter time to SM initiation (hazard ratio vs nonusers: 1.30, 95% CI 1.24-1.37; P<.001), and more annual SM exchanges (6.0, 95% CI 5.8-6.1 vs 2.9, 95% CI 2.9-3.0, P<.001). Differences in SM engagement by proxy status were similar across patient levels of education, and racial and ethnic groups.

CONCLUSIONS

Among a cohort of older patients with diabetes, proxy SM involvement was independently associated with earlier initiation and increased intensity of messaging, although it did not appear to mitigate existing disparities in SM. These findings suggest care partners can enhance patient-clinician telecommunication in diabetes care. Future studies should examine the effect of care partners' SM involvement on diabetes-related quality of care and clinical outcomes.

Development of a Hereditary Breast and Ovarian Cancer and Genetics Curriculum for Community Health Workers: KEEP IT (Keeping Each other Engaged Program via IT) Community Health Worker Training

We developed a curriculum for community health workers (CHWs) using an innovative, community-engaged focus group and Delphi process approach. Equipping CHWs with knowledge of hereditary breast and ovarian cancer syndrome (HBOC) and genetics could help enhance identification of women at risk for HBOC, referral, and navigation through genetic services. We conducted focus groups with five CHWs and a three-round Delphi process with eight experts. In the first round of the Delphi process, participants rated and commented on draft curriculum modules. The second round involved live video discussion to highlight points of confusion and concern in the modules. The curriculum was revised and refined based on quantitative and qualitative data and reassessed by the experts in Round 3. Ultimately, agreement was achieved on eight of 10 modules when assessing for clarity of learning objectives, seven out of 10 when assessing for adult learning theory, and nine out of 10 when assessing for participants' ability to learn desired knowledge. We plan to virtually deliver this curriculum to CHWs to enhance their HBOC and genomic competencies. By equipping CHWs to understand and participate in genomics education, we can enable more equitable participation in genomics-informed clinical care and research. Beyond this curriculum, the Delphi methodology can further be used to design content for new CHW curriculums.

Patient factors related to patient engagement technology (PET) usage in thoracic surgery

BACKGROUND

We evaluated using Patient Engagement Technology (PET) to capture Patient Reported Outcomes (PROs) in thoracic surgery patients. METHODSY: atients using a PET received surveys including the Patient-Reported Outcomes Measurement Information System Global-10 (PROMIS-10) and a health literacy (HL) screen. The relationship of patient-level factors with survey completion was assessed through univariate and logistic regression analyses.

RESULTS

703 patients enrolled in a PET. 52 ​% were female and 83 ​% were white with a median age of 63.72 ​% had adequate HL. 81 ​% completed the PROMIS-10 survey. Univariate analysis found lower rates of PROMIS-10 completion in male patients and those with inadequate HL. Logistic regression analysis showed adequate HL (OR 1.76) and white race (OR 1.72) were associated with PROMIS-10 survey completion, while male gender (OR 0.65) had the opposite effect.

CONCLUSIONS

PETs are an effective means of collecting PROs, but use is affected by gender, race, and health literacy.

Sociodemographic factors and health digital divide among urban residents: Evidence from a population-based survey in China

Background

The deep integration of digital technology and healthcare services has propelled the healthcare system into the era of digital health. However, vulnerable populations in the field of information technology, they face challenges in benefiting from the digital dividends brought by digital health, leading to the emerging phenomenon of the "health digital divide."

Methods

This study utilized the sample of 3547 urban from the 2021 Chinese Social Survey data for analysis. Models were constructed with digital access divide, digital usage divide, and digital outcome divide for urban residents, and structural equation modeling was implemented for analysis.

Results

The impact β coefficients (95% CI) of urban residents' digital access on the frequency of digital use, internet healthcare utilization, and patient experience were (β = 0.737, P < 0.001), (β = 0.047, P < 0.05), and (β = 0.079, P < 0.001), respectively. Urban elderly groups were at a disadvantage in digital access and usage (β = -0.007, β = -0.024, and β = -0.004), as well as those with lower educational levels (β = 0.109, β = 0.162, and β = 0.045). However, these two factors did not have a significant direct impact on the patient experience in urban areas.

Conclusions

The health digital divide of urban residents exhibits a cascading effect, primarily manifested in the digital access and usage divide. To bridge health digital divide among urban residents, efforts must be made to improve digital access and usage among the elderly and those with lower educational levels.

Psychometric validation of the Chinese digital health literacy instrument among Chinese older adults who have internet use experience

INTRODUCTION

In this digital age, the Internet has become a major source of health information, and electronic health (eHealth) literacy becomes increasingly important for older individuals to properly use the extensive eHealth resources for self-care. A valid and reliable tool for assessing older people's eHealth literacy would help healthcare workers identify those disadvantaged groups in digital health and provide relevant health education.

OBJECTIVES

This study aimed to evaluate the psychometric properties of the Chinese version of DHLI in assessing eHealth literacy among older adults in China.

METHODS

A web-based, cross-sectional study was conducted among 277 Chinese older adults from September to November 2021. Two weeks after the first completion, 62 of them answered the C-DHLI again. The reliability (e.g. internal consistency and test-retest reliability), factorial structure and validity (i.e. content validity and convergent validity) of the C-DHLI were evaluated based on the survey data.

RESULTS

The results demonstrated good internal consistency (Cronbach's alpha: 0.94) and test-retest reliability (total intraclass correlation coefficient [ICC]: 0.94) of the C-DHLI. Principal component analysis revealed that the 18 items of C-DHLI loaded on three factors, accounting for 74.69% of the total variance; CFA supported its three-factor structure with good model fits. Convergent validity was examined by the significant associations between C-DHLI and C-eHEALS (r = 0.61), health literacy (r = 0.56), and whether having used the Internet for health information (ρ = 0.43) (ps <.001). A cut-off score of 45 was recommended for determining higher and lower literacy using the C-DHLI, with the area under curve of 0.82 (95% CI = 0.77-0.88).

CONCLUSIONS AND IMPLICATIONS FOR PRACTICE

The C-DHLI showed good psychometric performance in assessing eHealth literacy among Chinese older adults. The findings can support healthcare professionals to effectively measure eHealth literacy among older adults and conduct tailored eHealth interventions or training.

Telebehavioral Health: Workforce, Access, and Future Implications

Even before the COVID-19 pandemic, telebehavioral health (TBH) was proving itself to be a valuable, effective tool for service delivery. The widespread adoption of its use over the past 2 years for continuity of care should be considered one of the silver linings of the pandemic. It has the potential to be a particularly powerful tool for providing more equitable access to care for those in rural communities if barriers to broadband access can be addressed. In addition to providing an attractive, flexible method of service delivery for patients and families, TBH holds appeal to the workforce as well.

Utilization of cancer survivorship services during the COVID-19 pandemic in a tertiary referral center

BACKGROUND

All Commission on Cancer-accredited comprehensive cancer centers offer survivorship programs (SPs) to women upon completion of treatment. These SPs can include clinical and non-clinical programming such as physical rehabilitation, emotional and psychosocial support, nutrition, and exercise programming. Concern about the availability and access to these programs during the COVID-19 pandemic has been described in recent literature. We sought to identify the impact of the COVID-19 pandemic on participation in these supportive services for breast cancer patients within a single institution.

METHODS

The Ohio State University tertiary care center offers clinical and non-clinical breast cancer support services. Descriptive statistics were utilized to summarize referral and patient participation data from January 2019 through July 2021. Data from calendar year 2019 was used as a normative comparison for pre-COVID-19. In-person and telehealth use was tracked longitudinally.

RESULTS

During the lockdown due to the COVID-19 pandemic (March through May 2020), provider referrals to SPs declined by 10%, while the overall total for the calendar year modestly increased from 1195 in 2019 to 1210 in 2020, representing a 1.3% increase. Psycho-oncology referrals increased from 280 to 318 (13.5%). The most significant change of participation rates in non-clinical SPs during the pandemic was utilization of exercise content, which increased by 220% from 2019 to 2020. The total proportion of breast cancer participants choosing an exercise program increased from 16.8% in 2019 to 42.2% in 2021, making it the most selected program area overall. Previously, nutrition was the most selected program area as it comprised 42.5% of overall utilization in 2019.

CONCLUSION

The pandemic's potential to place barriers to participation in SPs is a legitimate concern. We found a modest decline in provider referrals to clinical services during the lockdown period, while patient-directed participation increased with more survivors engaging in exercise-based programs. Transitioning to virtual platforms served to maintain access for patients.

IMPLICATIONS FOR CANCER SURVIVORS

As we grapple with the COVID-19 pandemic, patients with cancer deserve increased attention due to the expected stressors associated with the diagnosis. Those in the survivorship stage utilize services for psychosocial support, and the observed increase in utilization of SPs suggests an elevated need for connectivity. To meet this need, telehealth platforms have been expanded to allow for continued participation. It remains to be seen whether this will be sustained post-COVID-19 or whether reduced human contact will create new needs for programming.

Racial Differences in Patient-Reported Access to Telehealth: An Important and Unmeasured Social Determinant of Health

PURPOSE

The COVID-19 pandemic expanded opportunities for remote oncology telehealth visits. However, reliable internet connectivity, digital literacy, and patient comfort with virtual medical visits may differ among patients, especially socially disadvantaged groups. The primary aim of this study was to identify barriers that might limit access to telehealth video services.

METHODS

First, retrospective analysis was performed of composite administrative data of all patient visits to a large regional cancer center during the pandemic (March 2020 to April 2022). Second, a prospective, cross-sectional study was conducted of patients with known or suspected malignancy over a 6-month period (November 2021 to April 2022). A survey regarding video telehealth accessibility was verbally administered to patients at their clinic visit.

RESULTS

Administrative data demonstrated that although Black patients comprised 43% (n = 9,021) of all patient visits (n = 20,953), the proportion of telehealth visits conducted among Black patients was significantly lower compared with White patients (29% v 71%; P < .0001). Of the prospective, cross-sectional study cohort (n = 148), 51.4% of patients (n = 76) were Black, 38.5% (n = 57) resided in a rural county, and 8.1% (n = 12) were Medicaid-insured. Black participants were more likely to self-report lack of internet access (73.7% v 90.4%; P < .01) and were less likely to report having access to or actively using a patient portal (29.0% v 47.2%; P < .001) compared with White patients. The independent association of race and internet access (P < .05) and patient portal use (P = .001) persisted after multivariable analysis.

CONCLUSION

Black patients disproportionately underparticipated in telehealth visits, suggesting underlying structural disparities in access to digital care. A greater proportion of Black participants self-reported lack of internet access and access to a patient portal compared with White patients. Ensuring equal internet access and digital literacy will be critical to reduce disparities in cancer care among racial minorities.

Exploring Disparities in Healthcare Wearable Use among Cardiovascular Patients: Findings from a National Survey

Background

Use of healthcare wearable devices holds significant potential for improving the prevention and management of cardiovascular diseases (CVD). However, we have limited knowledge on the actual use of wearable devices by CVD patients and the key factors associated with their use. This study aims to assess wearable device use and willingness to share health data among CVD patients, while identifying socio-demographic, health, and technology-related factors associated with wearable technology use.

Methods

Using a national survey of 933 CVD patients, we assess use of wearable healthcare devices (use, frequency of use and willingness to share health data from wearable with a provider), and a set of socio-demographic factors (age, gender, race, education and household income), health-related variables (general health, presence of comorbid conditions: diabetes and high blood pressure, attitude towards exercise) and technology self-efficacy using logistic regression.

Results

Of the 933 CVD patients, 18.34% reported using a healthcare wearable device in the prior 12 months. Of those, 41.92% indicated using it every day and another 19.76% indicated using it 'almost every day'. 83.54% of wearable users indicated their willingness to share health data with their healthcare providers. Female CVD patients are more likely to use wearables compared to men (odds ratio (OR) = 1.65, 95% confidence interval (CI) = 1.04-2.63). The odds decrease with age, and are significantly high in patients with higher income levels. In comparison with non-Hispanic White, Hispanic (OR = 0.14, 95% CI = 0.03-0.70) and African Americans (OR = 0.17, 95% CI = 0.04-0.86) are less likely to use healthcare wearables. CVD patients who perceive their general health to be better (OR = 1.45, 95% CI = 1.11-1.89) and those who enjoy exercising (OR = 1.76, 95% CI = 1.22-2.55) are more likely to use wearables. CVD patients who use the internet for searching for medical information (OR = 2.10, 95% CI = 1.17-3.77) and those who use electronic means to make appointments with their providers (OR = 2.35, 95% CI = 1.48-3.74) are more inclined to use wearables.

Conclusions

Addressing low wearable device usage among CVD patients requires targeted policy interventions to ensure equitable access. Variations in gender, age, race/ethnicity, and income levels emphasize the need for tailored strategies. Technological self-efficacy, positive health perceptions, and exercise enjoyment play significant roles in promoting wearable use. These insights should guide healthcare leaders in designing effective strategies for integrating wearables into cardiovascular care.

Patient-reported Primary Care Video and Telephone Telemedicine Preference Shifts During the COVID-19 Pandemic

BACKGROUND

Patient perceptions of primary care telephone and video telemedicine and whether COVID-19 pandemic-related telemedicine exposure shifted patients' visit preference is unknown.

OBJECTIVES

We examined patient surveys to understand the health care experience of patients seeking primary care through telemedicine and how patients expected their preferences to shift as a result of the COVID-19 pandemic.

RESEARCH DESIGN/SUBJECTS

In an integrated delivery system that shifted to a "telemedicine-first" health care model during the COVID-19 pandemic, we sampled monthly and collected 1000 surveys from adults with primary care telemedicine visits scheduled through the online patient portal between 3/16/2020 and 10/31/2020.

MEASURES

Participants reported their preferred primary care visit modality (telephone, video, or in-person visits) across 3 time points: before, during and (hypothetically) after the COVID-19 pandemic, and reported their general assessment of primary care visits during the pandemic.

RESULTS

The majority of participants preferred in-person visits before (69%) and after the COVID-19 pandemic (57%). However, most participants reported a preference for telemedicine visits during the pandemic and continue to prefer telemedicine visits at a 12% higher rate post-pandemic. Many participants (63%) expressed interest in using telemedicine at least some of the time. Among participants reporting a recent telemedicine visit, 85% agreed that the visit addressed their health needs.

CONCLUSION

As primary care visit modality preferences continue to evolve, patients anticipate that they will continue to prefer telemedicine visits, both video and telephone, at an increased rate than before the COVID-19 pandemic.

Use of the Veterans Health Administration online patient portal among Veterans with spinal cord injuries and disorders

CONTEXT/OBJECTIVE

Online patient portals like the Veteran Health Administration's (VA) My HealtheVet (MHV) may be particularly useful for Veterans with spinal cord injuries/disorders (SCI/D), many of whom experience barriers to care. The objective of this analysis was to examine MHV use among Veterans with SCI/D.

DESIGN

Retrospective database analysis.

SETTING

VA SCI/D System of Care.

PARTICIPANTS

Veterans with SCI/D who utilize VA care.

INTERVENTIONS

N/A.

OUTCOME MEASURES

MHV registration and use of key portal features among Veterans who newly registered for MHV. Veteran characteristics associated with registration and use of portal features using multiple logistic regression.

RESULTS

14.6% of Veterans with SCI/D in our sample registered to use MHV. 48.7% used the medication refill feature, 28.7% used the appointment view feature, 25.0% sent or read at least one secure message and 10.8% used the Blue Button feature. Adjusted analyses indicate that having a C5-8 (OR: 1.36, CI95%: 1.06-1.76, P < 0.05) or T1-S5 (OR: 1.41, CI95%: 1.13-1.78, P < 0.01) (vs. C1-C4), having (vs. not having) neurogenic bladder (OR: 1.45, CI95%: 1.18-1.77, P < 0.01), being married (vs. not married) (OR: 2.00, CI95%: 1.67-2.39, P < 0.01), and increased healthcare utilization in the third (OR: 1.71, CI95%: 1.31-2.24, P < 0.01) and fourth (OR: 1.73, CI95%: 1.27-2.34, P < 0.01) quartiles (vs. first quartile) were associated with increased odds of MHV registration. We also identified factors associated with use of key MHV features.

CONCLUSIONS

Our results suggest that MHV registration and use of key portal features was limited among Veterans with SCI/D. Effort to increase portal use in this population are warranted.

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.

Patient portal use: Persistent disparities from pre- to post-onset of the COVID-19 pandemic

INTRODUCTION

The primary objective of this study was to examine patient portal usage from pre- to post-onset of the COVID-19 pandemic to determine what impact the pandemic had on portal usage by patient sub-populations. The second study objective was to assess differences in portal usage by chronic disorders from pre- to post-onset of the pandemic.

METHODS

Patient portal data were extracted and analyzed from a non-profit healthcare system in the Mid-Atlantic region. A total of 153,628 unique patients with patient portal account were included in this study. We assessed patient portal usage from pre-onset (March 2019-February 2020) to post-onset of the COVID-19 pandemic (March 2020-February 2021). We examined usage by patient sub-populations (age, sex, race, ethnicity), comorbid conditions, and health insurance type.

RESULTS

Differences were seen in specific patient portal actions. Increases were seen in immunization views (0.43, 95% CI: 0.39, 0.46) and health record views (0.43, 95% CI: 0.40, 0.46) from post-onset compared to pre-onset. A decrease was noted in prescription renewal (medication) views (-0.07, 95% CI -0.09, -0.05) from pre- to post-onset There was a decrease in both immunization views and health record views among Black patients (-0.07, 95% CI: -0.11, -0.03) in comparison to White patients, but an increase in prescription renewal (medication) views (0.07, 95%CI 0.04, 0.09) amongst Black patients compared to White patients.

CONCLUSIONS

Patient portals are integral to patient care, allowing patients to actively engage in their care and communicate with their healthcare team about ongoing health needs. However, prior disparities in patient portal access have been exacerbated by the COVID-19 pandemic and solutions to address these disparities are urgently needed.

Towards Understanding Disparities in Using Technology to Access Health Care Information: African American Veterans' Sociocultural Perspectives on Using My HealtheVet for Diabetes Management

The digital divide, a racial disparity in computer and internet use, persists among Veterans. This study examined African American Veterans' experiences with and attitudes about using My HealtheVet (MHV), the online patient portal used in the Department of Veterans Affairs (VA) health care system. Semi-structured interviews were conducted with 35 non-Hispanic African American Veterans about preferences for health information, use of web-enabled devices, and experiences with and preferences for using MHV. Twenty-nine men and 6 women, ranging 35 to 73 years old, participated in this study. About 75% (n = 26) had completed some college or more, and about 75% (n = 26) considered their families financially comfortable. Ninety-one percent (n = 32) of participants were aware of MHV, and 78% (n = 25) of those who were aware reported having enrolled for an account. Data revealed participants valued that MHV provided realistic solutions to cumbersome aspects (e.g., phone call hold-times) of receiving care at the VA. However, participants admitted to not using the patient portal at all or to its full potential for two reasons: a) preference for their pre-MHV routine, b) distrust in the institutional, technological, and organizational aspects surrounding MHV. By highlighting the sociocultural aspects of patient portal use, this study provides a meaningful explanation for barriers and facilitators of health information technology adoption, particularly for MHV among African American Veterans, and ways practitioners may influence uptake.

Telehealth Use During the COVID-19 Pandemic Among Veterans and Nonveterans: Web-Based Survey Study

BACKGROUND

In the first year of the COVID-19 pandemic, studies reported delays in health care usage due to safety concerns. Delays in care may result in increased morbidity and mortality from otherwise treatable conditions. Telehealth provides a safe alternative for patients to receive care when other circumstances make in-person care unavailable or unsafe, but information on patient experiences is limited. Understanding which people are more or less likely to use telehealth and their experiences can help tailor outreach efforts to maximize the impact of telehealth.

OBJECTIVE

This study aims to examine the characteristics of telehealth users and nonusers and their reported experiences among veteran and nonveteran respondents.

METHODS

A nationwide web-based survey of current behaviors and health care experiences was conducted in December 2020-March 2021. The survey consisted of 3 waves, and the first wave is assessed here. Respondents included US adults participating in Qualtrics web-based panels. Primary outcomes were self-reported telehealth use and number of telehealth visits. The analysis used a 2-part regression model examining the association between telehealth use and the number of visits with respondent characteristics.

RESULTS

There were 2085 participants in the first wave, and 898 (43.1%) reported using telehealth since the pandemic began. Most veterans who used telehealth reported much or somewhat preferring an in-person visit (336/474, 70.9%), while slightly less than half of nonveterans (189/424, 44.6%) reported this preference. While there was no significant difference between veteran and nonveteran likelihood of using telehealth (odds ratio [OR] 1.33, 95% CI 0.97-1.82), veterans were likely to have more visits when they did use it (incidence rate ratio [IRR] 1.49, 95% CI 1.07-2.07). Individuals were less likely to use telehealth and reported fewer visits if they were 55 years and older (OR 0.39, 95% CI 0.25-0.62 for ages 55-64 years; IRR 0.43, 95% CI 0.28-0.66) or lived in a small city (OR 0.63, 95% CI 0.43-0.92; IRR 0.71, 95% CI 0.51-0.99). Receiving health care partly or primarily at the Veterans Health Administration (VA) was associated with telehealth use (primarily VA: OR 3.25, 95% CI 2.20-4.81; equal mix: OR 2.18, 95% CI 1.40-3.39) and more telehealth visits (primarily VA: IRR 1.5, 95% CI 1.10-2.04; equal mix: IRR 1.57, 95% CI 1.11-2.24).

CONCLUSIONS

Telehealth will likely continue to be an important source of health care for patients, especially following situations like the COVID-19 pandemic. Some groups who may benefit from telehealth are still underserved. Telehealth services and outreach should be improved to provide accessible care for all.

Engaging and informing patients: Health information technology use in community health centers

OBJECTIVE

This paper aims to address the relationship between the community health center (CHC) patient mix and the level of patient engagement health information technology (HIT) comprehensiveness.

PARTICIPANTS

The study was conducted on sample CHCs (n = 3,592 CHC-years) active between 2016 and 2018.

METHODS

Patient engagement HIT comprehensiveness was measured based on a framework of patient engagement through HIT that includes a two-part dichotomy of patient engagement and patient informing. Univariate analysis was used to describe CHC characteristics and multivariable ordered logistic regression analysis was used to test hypothesized relationships.

RESULTS

The study identified four levels of patient engagement HIT comprehensiveness: 1) to neither engage nor inform, 2) to primarily inform, 3) to primarily engage, and 4) to engage and inform. It was found that CHCs serving disproportionate shares of patients with disadvantageous socioeconomic characteristics are less likely to incorporate more comprehensive patient engagement HIT.

CONCLUSION

The results highlight the different levels of patient engagement HIT use among CHCs and a negative association between CHC's higher proportion of patients with a disadvantageous sociodemographic background and patient engagement HIT comprehensiveness.

A patient education intervention improved rates of successful video visits during rapid implementation of telehealth

INTRODUCTION

The need to rapidly implement telehealth at large scale during the COVID-19 pandemic led to many patients using telehealth for the first time. We assessed the effect of structured pre-visit preparatory telephone calls on success of telehealth visits and examined risk factors for unsuccessful visits.

METHODS

A retrospective cohort study was carried out of 45,803 adult patients scheduled for a total of 64,447 telehealth appointments between March and July 2020 at an academic medical center. A subset of patients received a structured pre-visit phone call. Demographic factors and inclusion of a pre-visit call were analysed by logistic regression. Primary outcomes were non-completion of any visit and completion of phone-only versus audio-visual telehealth visits.

RESULTS

A pre-visit telephone call to a subset of patients significantly increased the likelihood of a successful telehealth visit (OR 0.54; 95% CI: 0.48-0.60). Patients aged 18-30 years, those with non-commercial insurance or those of Black race were more likely to have incomplete visits. Compared to age 18-30, increasing age increased likelihood of a failed video visit: 31-50 years (OR 1.31; 95% CI: 1.13-1.51), 51-70 years (OR 2.98; 2.60-3.42) and >70 years (OR 4.16; 3.58-4.82). Those with non-commercial insurance and those of Black race (OR 1.8; 95% CI 1.67-1.92) were more likely to have a failed video visit.

DISCUSSION

A structured pre-call to patients improved the likelihood of a successful video visit during widespread adoption of telehealth. Structured pre-calls to patients may be an important tool to help reduce gaps in utilization among groups.

A New Framework for Co-Creating Telehealth for Cancer Care with the Patient Community

The increased use of telehealth in cancer care during the coronavirus disease 2019 pandemic has added to our knowledge and experience of the modality with benefits in terms of efficacy, cost, and patient and healthcare professional experience reported. However, telehealth has also been found not to be universally available to all patients with cancer, nor to be appropriate for every healthcare interaction; additionally, not all patients prefer it. Now that coronavirus disease restrictions have essentially ended and an opportunity to re-assess telehealth provision in cancer care presents, we offer a framework that aims to ensure that the needs and preferences of the patient community are included in the development of telehealth provision. Stakeholders in this process include patients, patient advocates, healthcare providers, healthcare services commissioners, managers, and policy makers. The framework outlines how patient advocates can work with other stakeholders as equal partners at all stages of telehealth service development. The patient advocate community has a unique understanding of the patient perspective as well as expertise in healthcare design and delivery. This enables advocates to contribute to shaping telehealth provision, from policy and guideline formulation to patient navigation. Appropriate resources, education and training may be needed for all stakeholders to support the development of an effective telehealth system. Together with other stakeholders, patient advocates can make an important contribution to optimizing appropriate patient-centred telehealth provision in cancer care.

The Intersectional Impact of Race/Ethnicity and Sex on Access to Technology Among Older Adults

BACKGROUND AND OBJECTIVES

Research on technological access and usage has revealed a digital divide based on several sociodemographic factors, including race/ethnicity, sex, income, and education. While several studies have examined these factors separately, few studies have considered how multiple vulnerable identities may combine to influence access to technology. Using the theory of intersectionality, this study assesses the combined impact of race/ethnicity and sex on access to a working cellphone and a working laptop/computer among U.S. older adults.

RESEARCH DESIGN AND METHODS

Data were derived from the 2018 National Health and Aging Trends Study. Chi-square tests were used to test group differences, and four multivariable logistic regression models were used to examine the association between the intersection of race/ethnicity and sex, and access to a working cellphone and a working laptop/computer.

RESULTS

After accounting for other explanatory variables, White female participants, Black male participants, Black female participants, Hispanic male participants, and Hispanic female participants were all less likely to have a working cellphone or a working laptop/computer compared to White male participants.

DISCUSSION AND IMPLICATIONS

The results of this study point to a significant disparity in access to technology based on intersectional identities, with Black and Hispanic female participants having the least access to technology. Interventions aiming to improve access to technology should target these two groups, with a focus on reducing the cost of purchasing technological equipment and the provision of training programs that improve technological skills.

Exploring the Use of a Digital Platform for Cancer Patients to Report Their Demographics, Disease and Therapy Characteristics, Age, and Educational Disparities: An Early-Stage Feasibility Study

INTRODUCTION

The increasing burden of cancer, the development of novel therapies, and the COVID-19 pandemic have made cancer care more complex. Digital innovation was then pushed toward developing platforms to facilitate access to cancer care. Age, education, and other disparities were, however, shown to limit the use of the digital health innovation. The aim of this early-stage feasibility study was to assess whether Greek cancer patients would register at CureCancer and self-report their demographics, disease and therapy characteristics, and socioeconomic issues. The study was organized by the Hellenic Society of Medical Oncology.

METHODS

Patients from nine cancer centers were invited to register on the CureCancer platform and complete an anonymous questionnaire on demographics, disease and therapy characteristics, and socioeconomic issues. Patients were also encouraged to upload, in a secure area for them, their medical files and share them with their physicians. They were then asked to comment on their experience of registration and how easy it was to upload their medical files.

RESULTS

Of the 159 patients enrolled, 144 (90.56%) registered, and 114 of those (79.16%) completed the questionnaire, suggesting that the study is feasible. Users' median age was 54.5 years, and 86.8% of them were university and high school graduates. Most patients (79.8%) reported their specific type of cancer diagnosis, and all reported their therapy characteristics. Breast and lung cancers were the most common. A total of 87 patients (76.3%) reported being on active cancer therapy, 46 (40.4%) had metastatic disease, and 51 (44.7%) received supportive care medications. Eighty-one (71.05%) patients received prior cancer therapies, and twenty-seven recalled prior supportive care medications. All patients reported visiting non-oncology Health Care Professionals during the study. Nineteen of 72 (26.39%) patients who worked prior to cancer diagnosis changed work status; 49 (42.98) patients had children under 24 years; and 16 (14%) patients lived alone. Nine (7.9%) patients were members of patient associations. Registration was "much/very much" easy for 98 (86.0%) patients, while 67 (58.8%) had difficulties uploading their files. Patients commented on the well-organized data access, improved communication, feeling safe, medication adherence, interventions from a distance, and saving time and money. Over 80% of patients "preferred the digital way".

DISCUSSION

A total of 114 patients succeeded in registering on the digital platform and reporting their demographics, disease and therapy characteristics, and socioeconomic issues. Age and educational disparities were disclosed and highlighted the need for educational programs to help older people and people of lower education use digital innovation. Health care policy measures would support patients' financial burden associated with work changes, living alone, and children under 24 years old at school or college. Policy actions would motivate patients to increase their participation in patient associations. According to the evidence DEFINED framework, the number of patients, and the focus on enrollment, engagement, and user experience, the study fulfills actionability level criterion 1.

Information Technology and Telemedicine Services in Community Oncology Practices

PURPOSE

We described information technology support and use of telemedicine for cancer care and research purposes at community oncology practices within the National Cancer Institute Community Oncology Research Program (NCORP).

METHODS

We used data from the NCORP 2017 and 2022 Landscape Assessments. Separate logistic regression models were used to assess factors associated with the use of telemedicine for delivery of cancer care in 2017 and for research purposes in 2022 (cancer care delivery not assessed in 2022).

RESULTS

Information was available from 210 and 259 practice groups excluding pediatric-only groups in 2017 and 2022, respectively. In 2017, 30% of practice groups used telemedicine for delivery of cancer care; half of these (15% overall) could use telemedicine for research purposes. In 2022, telemedicine was used for research purposes in 73% of practice groups. In multivariable models, self-identifying as a safety-net hospital was associated with a lower odd of telemedicine use for delivery of cancer care (adjusted odds ratio [AOR], 0.39; 95% CI, 0.17 to 0.93), whereas affiliation with a designated critical access hospital was associated with a higher odd of telemedicine use for delivery of cancer care (AOR, 2.29; 95% CI, 1.10 to 4.76). Having a general survivorship clinic (AOR, 1.92; 95% CI, 1.04 to 3.54) and number of oncology providers (increase per 10 providers; AOR, 1.32; 95% CI, 1.05 to 1.65) were associated with telemedicine use for research purposes.

CONCLUSION

Almost one third of NCORP practice groups used telemedicine for cancer care delivery in 2017. In 2022, there is high capacity among NCORP practices (almost three-quarters) to use telemedicine for research purposes, especially among practices with a general survivorship clinic and a greater provider number.

Patient Portal Privacy: Perspectives of Adolescents and Emerging Adults Living with HIV and the Parental/Guardian Role in Supporting Their Care

BACKGROUND

Increasing the percentage of people living with human immunodeficiency virus (HIV), including youth, who are virally suppressed to 95% is an overall goal of the ending the HIV epidemic initiative. While patient portals have become ubiquitous, questions remain about how best to operationalize parental/guardian access to youth's patient portals in alignment with optimizing HIV care outcomes and patient preferences. This qualitative study focuses on understanding perspectives among youth with HIV (YHIV) about parental access to patient portals.

METHODS

Eligible participants were YHIV aged 13 to 25 years receiving care at an urban academic hospital. Semistructured individual/paired interviews were conducted between May 2022 and March 2023. Participants were asked to discuss thoughts on parental access to patient portals, and roles parents/guardians have in supporting their HIV care. Semistructured interviews were conducted with adolescent and emerging adult health care workers (HCWs) to gain perspectives on YHIV emergent themes. Audio-recorded interviews were transcribed verbatim, and we conducted thematic analysis using an inductive approach to identify codes and themes.

RESULTS

Sixteen YHIV and four HCWs participated in interviews. Parental roles in coordinating HIV care ranged from supporting YHIV needs for transportation, acquiring, and taking medications, to not having any role at all. Participants shared heterogeneous perspectives about their openness to share patient portal access with their parents/guardians. Perspectives were not strictly congruent along lines of participant age or parental roles in helping youth to manage HIV care. Sharing passwords emerged both as a pathway that YHIV grant access to their accounts and a source of confusion for clinicians when parents/guardians send messages using their child's account.

CONCLUSION

Findings suggest HCWs should initiate conversations with YHIV patients to determine preferences for parental/guardian access to their patient portal, educate on proxy access, and explain the extent of medical information that is shared with proxy accounts, regardless of age and perceived parental involvement in HIV care.

Predicting Internet Use and Digital Competence Among Older Adults Using Performance Tests of Visual, Physical, and Cognitive Functioning: Longitudinal Population-Based Study

BACKGROUND

The rapidly increasing role of the internet in obtaining basic services poses challenges, especially for older adults' capabilities of getting the services they need. Research on the predictors of older adults' internet use and digital competence is especially relevant given that people are living longer than before, and the age profile of many societies is changing rapidly.

OBJECTIVE

We aimed to examine the associations of objective measures of physical and cognitive impairment with the nonuse of the internet for services and low digital competence among older adults.

METHODS

A longitudinal population-based design was used that combined data from performance tests and self-rated questionnaires. Data were gathered in 2017 and 2020 among 1426 older adults aged between 70 and 100 years in Finland. Logistic regression analyses were used to examine the associations.

RESULTS

Those who had poor near (odds ratio [OR] 1.90, 95% CI 1.36-2.66) or distant vision (OR 1.81, 95% CI 1.21-2.71), restricted or failed abduction of upper arms (OR 1.81, 95% CI 1.28-2.85), and poor results from the word list memory (OR 3.77, 95% CI 2.65-5.36) or word list delayed recall (OR 2.12, 95% CI 1.48-3.02) tests had greater odds for nonuse of the internet for services than their counterparts. Moreover, those who had poor near (OR 2.18, 95% CI 1.57-3.02) or distant vision (OR 2.14, 95% CI 1.43-3.19), poor results from the chair stand test (OR 1.57, 95% CI 1.06-2.31), restricted or failed abduction of upper arms (OR 1.74, 95% CI 1.10-2.76), and poor results from the word list memory (OR 3.41, 95% CI 2.32-5.03) or word list delayed recall (OR 2.05, 95% CI 1.39-3.04) tests had greater odds of low digital competence than their counterparts.

CONCLUSIONS

According to our results, older adults' impaired physical and cognitive functioning may hamper their possibilities of accessing internet services such as digital health care services. Our results should be considered when planning digital health care services intended to be used by older adults; that is, digital solutions should also be suitable for older adults with impairments. Furthermore, face-to-face services should be provided for those who cannot use digital services, even if they are assisted properly.

Disparities in Telemedicine Use Among Louisiana Medicaid Beneficiaries During the COVID-19 Pandemic

BACKGROUND

The COVID-19 pandemic led to an increased reliance on telemedicine. Whether this exacerbated existing disparities within vulnerable populations is not yet known.

OBJECTIVES

Characterize changes in outpatient telemedicine evaluation and management (E&M) services for Louisiana Medicaid beneficiaries by race, ethnicity, and rurality during the COVID-19 pandemic.

RESEARCH DESIGN

Interrupted time series regression models estimated pre-COVID-19 trends and changes in E&M service use at the April and July 2020 peaks in COVID-19 infections in Louisiana and in December 2020 after those peaks had subsided.

SUBJECTS

Louisiana Medicaid beneficiaries continuously enrolled between January 2018 and December 2020 who were not also enrolled in Medicare.

MEASURES

Monthly outpatient E&M claims per 1000 beneficiaries.

RESULTS

Prepandemic differences in service use between non-Hispanic White and non-Hispanic Black beneficiaries narrowed by 34% through December 2020 (95% CI: 17.6%-50.6%), while differences between non-Hispanic White and Hispanic beneficiaries increased by 10.5% (95% CI: 0.1%-20.7%). Non-Hispanic White beneficiaries used telemedicine at higher rates than non-Hispanic Black (difference=24.9 claims per 1000 beneficiaries, 95% CI: 22.3-27.4) and Hispanic beneficiaries (difference=42.3 claims per 1000 beneficiaries, 95% CI: 39.1-45.5) during the first wave of COVID-19 infections in Louisiana. Telemedicine use increased slightly for rural beneficiaries compared with urban beneficiaries (difference=5.3 claims per 1000 beneficiaries, 95% CI: 4.0-6.6).

CONCLUSIONS

The COVID-19 pandemic narrowed gaps in outpatient E&M service use between non-Hispanic White and non-Hispanic Black Louisiana Medicaid beneficiaries, though gaps in telemedicine use emerged. Hispanic beneficiaries experienced large reductions in service use and relatively small increases in telemedicine use.

Association of Home-Based Cardiac Rehabilitation With Lower Mortality in Patients With Cardiovascular Disease: Results From the Veterans Health Administration Healthy Heart Program

Background Home-based cardiac rehabilitation (HBCR) and traditional facility-based cardiac rehabilitation (CR) programs have similar effects on mortality in clinical trials and meta-analyses. However, the effect of HBCR on mortality in clinical practice settings is less clear. Therefore, we sought to compare mortality rates in HBCR participants versus nonparticipants. Methods and Results We evaluated all patients who were referred to and eligible for outpatient CR between 2013 and 2018 at the San Francisco Veterans Health Administration. Patients who chose to attend facility-based CR and those who died within 30 days of hospitalization were excluded. Patients who chose to participate in HBCR received up to 9 telephonic coaching and motivational interviewing sessions over 12 weeks. All patients were followed through June 30, 2021. We used Cox proportional hazards regression models with inverse probability treatment weighting to compare mortality in HBCR participants versus nonparticipants. Of the 1120 patients (mean age 68, 98% male, 76% White) who were referred and eligible, 490 (44%) participated in HBCR. During a median follow-up of 4.2 years, 185 patients (17%) died. Mortality was lower among the 490 HBCR participants versus the 630 nonparticipants (12% versus 20%; P<0.01). In an inverse probability weighted Cox regression analysis adjusted for patient demographics and comorbid conditions, the hazard of mortality remained 36% lower among HBCR participants versus nonparticipants (hazard ratio, 0.64 [95% CI, 0.45-0.90], P=0.01). Conclusions Among patients eligible for CR, participation in HBCR was associated with 36% lower hazard of mortality. Although unmeasured confounding can never be eliminated in an observational study, our findings suggest that HBCR may benefit patients who cannot attend traditional CR programs.

Perceptions of Mobile Health Technology in Elective Surgery: A Qualitative Study of North American Surgeons

OBJECTIVES

To explore the surgeon-perceived added value of mobile health technologies (mHealth), and determine facilitators of and barriers to implementing mHealth.

BACKGROUND

Despite the growing popularity of mHealth and evidence of meaningful use of patient-generated health data in surgery, implementation remains limited.

METHODS

This was an exploratory qualitative study following the Consolidated Criteria for Reporting Qualitative Research. Purposive sampling was used to identify surgeons across the United States and Canada. The Consolidated Framework for Implementation Research informed development of a semistructured interview guide. Video-based interviews were conducted (September-November 2020) and interview transcripts were thematically analyzed.

RESULTS

Thirty surgeons from 8 specialties and 6 North American regions were interviewed. Surgeons identified opportunities to integrate mHealth data pre- operatively (eg, expectation-setting, decision-making) and during recovery (eg, remote monitoring, earlier detection of adverse events) among higher risk patients. Perceived advantages of mHealth data compared with surgical and patient-reported outcomes included easier data collection, higher interpretability and objectivity of mHealth data, and the potential to develop more patientcentered and functional measures of health. Surgeons identified a variety of implementation facilitators and barriers around surgeon- and patient buy-in, integration with electronic medical records, regulatory/reimbursement concerns, and personnel responsible for mHealth data. Surgeons described similar considerations regarding perceptions of mHealth among patients, including the potential to address or worsen existing disparities in surgical care.

CONCLUSIONS

These findings have the potential to inform the effective and equitable implementation of mHealth for the purposes of supporting patients and surgical care teams throughout the delivery of surgical care.

Comparison of eHealth Literacy Scale (eHEALS) and Digital Health Literacy Instrument (DHLI) in Assessing Electronic Health Literacy in Chinese Older Adults: A Mixed-Methods Approach

This study compared the reliability, construct validity, and respondents' preference of the Chinese version of 8-item eHEALS (C-eHEALS) and 21-item DHLI (C-DHLI) in assessing older adults' electronic health (eHealth) literacy using a mixed-methods approach. A web-based, cross-sectional survey was conducted among 277 Chinese older adults from September to October 2021, and 15 respondents were subsequently interviewed to understand their preference of scale to use in practice. Results showed that the internal consistency and test-retest reliability of both scales were satisfactory. For the construct validity, the C-DHLI score showed stronger positive correlations with having Internet use for health information and higher educational attainments, occupational skill levels, self-rated Internet skills, and health literacy than the C-eHEALS score. In addition, younger age, higher household income, urban residence, and longer Internet use history were only positively correlated with C-DHLI score. Qualitative data suggested that most interviewees perceived the C-DHLI as more readable than C-eHEALS for its clear structure, specific description, short sentence length, and less semantic complexity. Findings revealed that both scales are reliable tools to measure eHealth literacy among Chinese older adults, and the C-DHLI seemed to be a more valid and favored instrument for the general Chinese older population based on the quantitative and qualitative results.

Factors Associated with Telehealth Utilization among Older African Americans in South Los Angeles during the COVID-19 Pandemic

BACKGROUND

The COVID-19 pandemic transformed healthcare delivery with the expansive use of telemedicine. However, health disparities may result from lower adoption of telehealth among African Americans. This study examined how under-resourced, older African Americans with chronic illnesses use telehealth, including related sociodemographic and COVID-19 factors.

METHODS

Using a cross-sectional design, 150 middle-aged and older African Americans were recruited from faith-based centers from March 2021 to August 2022. Data collected included sociodemographics, comorbidities, technological device ownership, internet usage, and attitudes toward COVID-19 disease and vaccination. Descriptive statistics and multivariable regression models were conducted to identify factors associated with telehealth use.

RESULTS

Of the 150 participants, 32% had not used telehealth since the COVID-19 pandemic, with 75% reporting no home internet access and 38% having no cellular/internet network on their mobile device. Age, access to a cellular network on a mobile device, and wireless internet at home were significantly associated with the utilization of telehealth care. Higher anxiety and stress with an increased perceived threat of COVID-19 and positive attitudes toward COVID-19 vaccination were associated with telehealth utilization.

DISCUSSION

Access and integration of telehealth services were highlighted as challenges for this population of African Americans. To reduce disparities, expansion of subsidized wireless internet access in marginalized communities is necessitated. Education outreach and training by healthcare systems and community health workers to improve uptake of telehealth currently and post-COVID-19 should be considered.

Gauging the Changing Landscape: Telehealth Perceptions among Hispanic Females with Breast Cancer

During the COVID-19 pandemic, telehealth use rapidly grew while its uptake steadily increased in cancer care. Prior research has reported existing racial and ethnic disparities in telehealth, with Hispanics reporting lower rates of use compared to other major racial/ethnic groups. Our study examined the perceived benefits and challenges/disadvantages faced by Hispanic females diagnosed with breast cancer in San Diego County, California. In-depth interviews were conducted with 27 participants, who were mostly Spanish speaking. The recordings of the interviews were transcribed and translated from Spanish to English. Reflexive thematic analyses revealed both potential benefits and challenges of telehealth. The perceived benefits included logistic and financial aspects (such as convenience and time/financial savings), faster access and longer duration spent with clinicians, the availability of family members, and the minimization of COVID-19 risk. The reported challenges/disadvantages of telehealth and the suggested strategies to address them focused on limitations in clinical care, diminished engagement with clinicians, difficulty accessing interpreter services, and technological access and challenges. The COVID-19 pandemic has greatly affected the landscape of how care is provided, with a greater shift to telehealth services. More research is needed to further examine the challenges of telehealth, particularly for groups that are disproportionately affected, to avoid the disruption of patients' cancer care and to promote a better patient healthcare experience.

Disparities in Perioperative Use of Patient Engagement Technologies - Not All Use is Equal

OBJECTIVE

To determine the association of patient-level characteristics on the use of a patient engagement technology during the perioperative period.

SUMMARY OF BACKGROUND DATA

As implementation of patient engagement technologies continues to grow, it remains unclear who uses, and not uses, these technologies. Existing literature suggests significant disparities in usage of other technologies by patient age, race, sex, and geographic location, however, have yet to characterize patient usage of patient engagement technologies.

METHODS

This is a retrospective cohort study of patients undergoing elective surgery by a colorectal surgeon between January 2018 and March 2020 who enrolled in a patient engagement technology at a single institution. Patients enrolled received educational content, healthcare reminders, patient reported outcome (PRO) surveys, and health checks preoperatively, in-hospital, and for 30-days postdischarge. The primary outcome was patient activation of the patient engagement technology. Secondary outcomes were completion of at least 1 PRO survey, 1 in-hospital health check, and 1 postdischarge health check.

RESULTS

Of 549 patients who enrolled in the patient engagement technology, 473 (86.2%) activated. On multivariable stepwise regression, female patients [odds ratio (OR) 2.4, confidence interval (CI) 1.4-4.0, P = 0.001] and privately insured patients (OR 2.0, CI 1.1-3.8, P = 0.03) were more likely to activate. Black patients were less likely to activate (OR 0.5, CI 0.3-0.9, P = 0.02). Once activated, privately insured patients were more likely to complete PRO surveys (OR 2.3, CI 1.2-4.3, P = 0.01), in-hospital health checks (OR 2.4, CI 1.4-4.1, P = 0.002), and postdischarge health checks (OR 1.9, CI 1.1 -3.3, P < 0.001) than uninsured patients. Black patients were less likely to complete PRO surveys (OR 0.4, CI 0.3-0.7, P = 0.001) and in-hospital health checks (OR 0.6, CI 0.4-0.9, P = 0.03) than White patients.

CONCLUSIONS

Use of a patient engagement technology in the perioperative period differs significantly by sex, race/ethnicity, and insurance status. These technologies may not be used equally by all patients, which should be considered during implementation of interventions to improve surgical outcomes.

A knowledge-driven decision support system for remote medical management

Residential medical digital technology is an emerging discipline combining computer network technology and medical research. Based on the idea of knowledge discovery, this study was designed to construct a decision support system for remote medical management, analyze the need for utilization rate calculations and obtain relevant modeling elements for system design. Specifically, the model constructs a design method for a decision support system for the healthcare management of elderly residents through the use of a utilization rate modeling method based on digital information extraction. In the simulation process, the utilization rate modeling and system design intent analysis are combined to obtain the relevant functions and morphological characteristics that are essential to the system. Using regular usage slices, a higher-precision non-uniform rational B-spline (NURBS) usage rate can be fitted and a surface model with better continuity can be constructed. The experimental results show that the deviation of the NURBS usage rate generated by the boundary division from the original data model can reach test accuracies of 83, 87 and 89%, respectively. It is shown that the method can effectively reduce the modeling error caused by the irregular feature model in the process of modeling the utilization rate of digital information, and that it can ensure the accuracy of the model.

Desperately Seeking Intersectionality in Digital Health Disparity Research: Narrative Review to Inform a Richer Theorization of Multiple Disadvantage

BACKGROUND

Digital consultations between patients and clinicians increased markedly during the COVID-19 pandemic, raising questions about equity.

OBJECTIVE

This study aimed to review the literature on how multiple disadvantage-specifically, older age, lower socioeconomic status, and limited English proficiency-has been conceptualized, theorized, and studied empirically in relation to digital consultations. We focused mainly on video consultations as they have wider disparities than telephone consultations and relevant data on e-consultations are sparse.

METHODS

Using keyword and snowball searching, we identified relevant papers published between 2012 and 2022 using Ovid MEDLINE, Web of Science, Google Scholar, and PubMed. The first search was completed in July 2022. Papers meeting the inclusion criteria were analyzed thematically and summarized, and their key findings were tabulated using the Grading of Recommendations Assessment, Development, and Evaluation Confidence in the Evidence from Reviews of Qualitative Research criteria. Explanations for digital disparities were critically examined, and a search was undertaken in October 2022 to identify theoretical lenses on multiple disadvantage.

RESULTS

Of 663 articles from the initial search, 27 (4.1%) met our inclusion criteria. In total, 37% (10/27) were commentaries, and 63% (17/27) were peer-reviewed empirical studies (11/27, 41% quantitative; 5/27, 19% qualitative; 1/27, 4% mixed methods; 1/27, 4% systematic reviews; and 1/27, 4% narrative reviews). Empirical studies were mostly small, rapidly conducted, and briefly reported. Most studies (25/27, 93%) identified marked digital disparities but lacked a strong theoretical lens. Proposed solutions focused on identifying and removing barriers, but the authors generally overlooked the pervasive impact of multiple layers of disadvantage. The data set included no theoretically informed studies that examined how different dimensions of disadvantage combined to affect digital health disparities. In our subsequent search, we identified 3 theoretical approaches that might help account for these digital disparities. Fundamental cause theory by Link and Phelan addresses why the association between socioeconomic status and health is pervasive and persists over time. Digital capital theory by Ragnedda and Ruiu explains how people mobilize resources to participate in digitally mediated activities and services. Intersectionality theory by Crenshaw states that systems of oppression are inherently bound together, creating singular social experiences for people who bear the force of multiple adverse social structures.

CONCLUSIONS

A limitation of our initial sample was the sparse and undertheorized nature of the primary literature. The lack of attention to how digital health disparities emerge and play out both within and across categories of disadvantage means that solutions proposed to date may be oversimplistic and insufficient. Theories of multiple disadvantage have bearing on digital health, and there may be others of relevance besides those discussed in this paper. We call for greater interdisciplinary dialogue between theoretical research on multiple disadvantage and empirical studies on digital health disparities.

Age, race, insurance type, and digital divide index are associated with video visit completion for patients seen for oncologic care in a large hospital system during the COVID-19 pandemic

INTRODUCTION

The COVID-19 pandemic drove rapid adoption of telehealth across oncologic specialties. This revealed barriers to telehealth access and telehealth-related disparities. We explored disparities in telehealth access in patients with cancer accessing oncologic care.

MATERIALS/METHODS

Data for all unique patient visits at a large academic medical center were acquired pre- and intra-pandemic (7/1/2019-12/31/2020), including visit type (in-person, video, audio only), age, race, ethnicity, rural/urban (per zip code by Federal Office of Rural Health Policy), distance from medical facility, insurance, and Digital Divide Index (DDI; incorporates technology/internet access, age, disability, and educational attainment metrics by geographic area). Pandemic phases were identified based on visit dynamics. Multivariable logistic regression models were used to examine associations of these variables with successful video visit completion.

RESULTS

Data were available for 2,398,633 visits for 516,428 patients across all specialties. Among these, there were 253,880 visits from 62,172 patients seen in any oncology clinic. Dramatic increases in telehealth usage were seen during the pandemic (after 3/16/2020). In multivariable analyses, patient age [OR: 0.964, (95% CI 0.961, 0.966) P<0.0001], rural zip code [OR: 0.814 (95% CI 0.733, 0.904) P = 0.0001], Medicaid enrollment [OR: 0.464 (95% CI 0.410, 0.525) P<0.0001], Medicare enrollment [OR: 0.822 (95% CI 0.761, 0.888) P = 0.0053], higher DDI [OR: 0.903 (95% CI 0.877, 0.930) P<0.0001], distance from the facility [OR: 1.028 (95% CI 1.021, 1.035) P<0.0001], black race [OR: 0.663 (95% CI 0.584, 0.753) P<0.0001], and Asian race [OR: 1.229 (95% CI 1.022, 1.479) P<0.0001] were associated with video visit completion early in the pandemic. Factors related to video visit completion later in the pandemic and within sub-specialties of oncology were also explored.

CONCLUSIONS

Patients from older age groups, those with minority backgrounds, and individuals from areas with less access to technology (high DDI) as well as those with Medicare or Medicaid insurance were less likely to use video visits. With greater experience through the pandemic, disparities were not mitigated. Further efforts are required to optimize telehealth to benefit all patients and avoid increasing disparities in care delivery.

Intersecting epidemics: the impact of coronavirus disease 2019 on the HIV prevention and care continua in the United States

OBJECTIVE

To summarize the broad impact of the coronavirus disease 2019 (COVID-19) pandemic on HIV prevention and care in the United States with a focus on the status-neutral HIV care continuum.

DESIGN

We conducted an editorial review of peer-reviewed literature on the topics of HIV-risk behaviors, sexually transmitted illness (STI) and HIV prevalence, HIV prevention and treatment trends, and evolving practices during the COVID-19 pandemic.

METHODS

For relevant literature, we reviewed, summarized, and categorized into themes that span the HIV prevention and care continua, including sexual risk behaviors, mental health, and substance use.

RESULTS

We identified important changes within each component of the HIV care continuum across the United States during the COVID-19 pandemic. Shifts in prevention practices, engagement with care, care provision, medication adherence, testing, and prevalence rates were observed during the pandemic.

CONCLUSION

Although heightened disparities for people at risk for, and living with, HIV were seen during the COVID-19 pandemic, many health systems and clinics have achieved and maintained engagement in HIV prevention and care. This review highlights barriers and innovative solutions that can support durable and accessible health systems through future public health crises.