Telehealth Use by Pregnancy Stage Among Commercially Insured Patients in the United States, 2016-2019.

Introduction: Relatively little is known about the proportion of maternal health services utilized through telehealth and whether rural-urban disparities in telehealth use exist throughout antenatal, delivery, and postpartum phases of maternal services. In this study, we describe patterns of care, including telehealth utilization, by rurality and racial/ethnic composition of the health service area during the antenatal, labor/delivery, and postpartum stages of pregnancy among commercially insured patients between 2016 and 2019. Methods: We present univariate and comparative descriptive statistics of patient and facility characteristics and site of care by the degree of rurality and racial/ethnic composition of the health service area (defined as geozips). The individual-level utilization data for 238,695 patients were aggregated to the geo-zip level (n = 404). Results: Between 2016 and 2019, 3.5% of pregnancy, delivery, and postpartum-related visits among commercially insured patients were delivered through telehealth. Telehealth use was higher in the antenatal (3.5% of claim lines) and postpartum (4.1% of claim lines) periods, compared with labor and delivery (0.7% of claim lines). We also found that the proportion of telehealth services (of total services billed) increased with the share of Black and Latinx residents at the geozip level. Discussion: Our findings highlight disparities in telehealth use, consistent with findings from studies using different data sources and time periods. Future research is needed to examine whether the relative differences in proportion of telehealth services, even if small, are associated with telehealth capacity in the hospital or community and why the proportion of telehealth services differs across community-level characteristics, specifically rurality and proportion of Black and Latinx residents.

Innovative Projects: A Unique Approach to Telehealth Education.

ABSTRACT: During the COVID-19 pandemic, telehealth utilization grew astronomically, encouraging more institutions of higher education to become innovative and proactive in preparing health care providers to deliver high-quality telehealth care. Telehealth can be creatively implemented throughout health care curricula given the appropriate guidance and tools. This article speaks to the development of student telehealth projects as part of the work of a national taskforce funded by the Health Resources and Services Administration and charged with the development of a telehealth toolkit. Proposed telehealth projects allow students to take the lead in their innovative learning and allow faculty to facilitate project-based evidence-based pedagogy.

A mixed-methods evaluation framework for electronic health records usability studies.

BACKGROUND: Poor EHR design adds further challenges, especially in the areas of order entry and information visualization, with a net effect of increased rates of incidents, accidents, and mortality in ICU settings. OBJECTIVE: The purpose of this study was to propose a novel, mixed-methods framework to understand EHR-related information overload by identifying and characterizing areas of suboptimal usability and clinician frustration within a vendor-based, provider-facing EHR interface. METHODS: A mixed-methods, live observational usability study was conducted at a single, large, tertiary academic medical center in the Southeastern US utilizing a commercial, vendor based EHR. Physicians were asked to complete usability patient cases, provide responses to three surveys, and participant in a semi-structured interview. RESULTS: Of the 25 enrolled ICU physician participants, there were 5(20%) attending physicians, 9 (36%) fellows, and 11 (44%) residents; 52% of participants were females. On average, residents were the quickest in completing the tasks while attending physician took the longest to complete the same task. Poor usability, complex interface screens, and difficulty to navigate the EHR significantly correlated with high frustration levels. Significant association were found between the occurrence of error messages and temporal demand such that more error messages resulted in longer completion time (p = .03). DISCUSSION: Physicians remain frustrated with the EHR due to difficulty in finding patient information. EHR usability remains a critical challenge in healthcare, with implications for medical errors, patient safety, and clinician burnout. There is a need for scientific findings on current information needs and ways to improve EHR-related information overload.

Assessment of Personal Health Care Management and Chronic Disease Prevalence: Comparative Analysis of Demographic, Socioeconomic, and Health-Related Variables.

BACKGROUND: The use of personal health care management (PHM) is increasing rapidly within the United States because of implementation of health technology across the health care continuum and increased regulatory requirements for health care providers and organizations promoting the use of PHM, particularly the use of text messaging (short message service), Web-based scheduling, and Web-based requests for prescription renewals. Limited research has been conducted comparing PHM use across groups based on chronic conditions. OBJECTIVE: This study aimed to describe the overall utilization of PHM and compare individual characteristics associated with PHM in groups with no reported chronic conditions, with 1 chronic condition, and with 2 or more such conditions. METHODS: Datasets drawn from the National Health Interview Survey were analyzed using multiple logistic regression to determine the level of PHM use in relation to demographic, socioeconomic, or health-related factors. Data from 47,814 individuals were analyzed using logistic regression. RESULTS: Approximately 12.19% (5737/47,814) of respondents reported using PHM, but higher rates of use were reported by individuals with higher levels of education and income. The overall rate of PHM remained stable between 2009 and 2014, despite increased focus on the promotion of patient engagement initiatives. Demographic factors predictive of PHM use included people who were younger, non-Hispanic, and who lived in the western region of the United States. There were also differences in PHM use based on socioeconomic factors. Respondents with college-level education were over 2.5 times more likely to use PHM than respondents without college-level education. Health-related factors were also predictive of PHM use. Individuals with health insurance and a usual place for health care were more likely to use PHM than individuals with no health insurance and no usual place for health care. Individuals reporting a single chronic condition or multiple chronic conditions reported slightly higher levels of PHM use than individuals reporting no chronic conditions. Individuals with no chronic conditions who did not experience barriers to accessing health care were more likely to use PHM than individuals with 1 or more chronic conditions. CONCLUSIONS: The findings of this study illustrated the disparities in PHM use based on the number of chronic conditions and that multiple factors influence the use of PHM, including economics and education. These findings provide evidence of the challenge associated with engaging patients using electronic health information as the health care industry continues to evolve.

Mind over bladder: Women, aging, and bladder health.

The purpose of this study was to explore the efficacy and acceptability of an innovative, electronically delivered self-management intervention for urinary incontinence (UI) that included daily mindfulness practice, completion of sequential bladder diaries, and bladder health education to improve UI in older women living independently in a retirement community. A mixed methods pilot study was conducted over ten weeks using a custom website or CD. Ten women were recruited and 8 completed the study; 5 of those (71%) experienced fewer daily UI episodes post intervention (p = 0.055). The women also reported a statistically significant decrease in the impact UI had on their everyday life (p = 0.04). Seventy-one percent (N = 5) reported subjective improvement in UI, and high acceptability scores also were achieved. The intervention was both effective in helping older women self-manage UI and acceptable to the population group. Further research is needed with a larger and diverse population of older women.

Factors Affecting Family Caregivers' Satisfaction During Virtual Care Visits.

There are 18 million caregivers in the US who are essential in the care process for patients to facilitate scheduling appointments, administer medication, and assist with care coordination. The objective of this study was to examine the facilitators and barriers to a positive virtual care experience for caregivers. examined the satisfaction levels among caregivers using a virtual care service at a Southeastern Medical Center in the U.S. We analyzed 231 virtual care visits completed by caregivers. We found that insurance status and medication prescription played a significant role in caregivers' ratings of their virtual care experience. Caregivers reported that virtual care can improve their quality of life, while mixed opinions were reported with regard to the use of virtual care, and the quality of care provided.

Patient Characteristics Associated With Phone and Video Visits at a Tele-Urgent Care Center During the Initial COVID-19 Response: Cross-Sectional Study.

BACKGROUND: Health systems rapidly adopted telemedicine as an alternative health care delivery modality in response to the COVID-19 pandemic. Demographic factors, such as age and gender, may play a role in patients' choice of a phone or video visit. However, it is unknown whether there are differences in utilization between phone and video visits. OBJECTIVE: This study aimed to investigate patients' characteristics, patient utilization, and service characteristics of a tele-urgent care clinic during the initial response to the pandemic. METHODS: We conducted a cross-sectional study of urgent care patients using a statewide, on-demand telemedicine clinic with board-certified physicians during the initial phases of the pandemic. The study data were collected from March 3, 2020, through May 3, 2020. RESULTS: Of 1803 telemedicine visits, 1278 (70.9%) patients were women, 730 (40.5%) were aged 18 to 34 years, and 1423 (78.9%) were uninsured. There were significant differences between telemedicine modalities and gender (P<.001), age (P<.001), insurance status (P<.001), prescriptions given (P<.001), and wait times (P<.001). Phone visits provided significantly more access to rural areas than video visits (P<.001). CONCLUSIONS: Our findings suggest that offering patients a combination of phone and video options provided additional flexibility for various patient subgroups, particularly patients living in rural regions with limited internet bandwidth. Differences in utilization were significant based on patient gender, age, and insurance status. We also found differences in prescription administration between phone and video visits that require additional investigation.

The evolution of health system planning and implementation of maternal telehealth services during the COVID-19 Pandemic.

Background: Differential access to healthcare is associated with disparities in maternal outcomes. Telehealth is one approach for improving access to maternal services. However, little is known regarding how health systems leverage telehealth to close the access gap. Objective: This study examines how health systems have approached decisions about using telehealth for maternal services before and during the COVID-19 public health emergency and what factors were considered. Methods: We conducted semi-structured interviews with 15 health system leaders between July and October 2021 and June and August 2022. We used a rapid analysis followed by a content analysis approach. Results: Five health systems did not provide maternal telehealth services before the PHE due to a lack of reimbursement. Two health systems provided limited services as research endeavors, and one had integrated telehealth into routine maternity care. During the PHE, all transitioned to telehealth, with the primary consideration being patient and staff safety. At the time of the interview, key considerations shifted to patient access, patient preferences, patient complexity, return on investment, and staff burnout. However, several barriers impacted telehealth use, including coverage of portable devices and connectivity. These issues were reported to be common among underinsured, low-income, and rural patients. Health systems with particularly advanced capabilities worked on approaches to fill access gaps for these patients. Conclusion: Some health systems prioritized telehealth to improve access to high-quality maternal services for patients at the highest risk of adverse outcomes. However, policy and patient-level barriers to equitable implementation of these services persist.

Usability, Acceptability, and Implementation of Artificial Intelligence (AI) and Machine Learning (ML) Techniques in Surgical Coaching and Training: A Scoping Review.

OBJECTIVE: To define the current state of peer-reviewed literature demonstrating the usability, acceptability, and implementation of artificial intelligence (AI) and machine learning (ML) techniques in surgical coaching and training. DESIGN: We conducted a literature search with defined inclusion and exclusion criteria. We searched five scholarly databases: MEDLINE via PubMed, Embase via Elsevier, Scopus via Elsevier, Cochrane Central Register of Controlled Trials, and the Healthcare Administration Database via ProQuest. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. RESULTS: Only 4 articles met the inclusion criteria and used standardized methods for performance evaluation with expert observation. We found no literature examining the impact on performance, user acceptance, or implementation of AI/ML techniques used for surgical coaching and training. We highlight the need for qualitative and quantitative research demonstrating these techniques' effectiveness before broad implementation. CONCLUSION AND RELEVANCE: We emphasize the need for research to specifically evaluate performance, impact, user acceptance, and implementation of AI/ML techniques. Incorporating these facets of research when developing AI/ML techniques for surgical training is crucial to ensure emerging technology meets user needs without increasing cognitive burden or frustrating users.

Disparities in Maternal Health Visits Between Rural and Urban Communities in the United States, 2016-2018.

OBJECTIVE: The objective was to estimate the rural-urban differences in the receipt of prepregnancy, prenatal, and postpartum services. METHODS: The authors conducted a cross-sectional data analysis using data from the Pregnancy Risk Assessment and Monitoring System from 2016 to 2018 to analyze rural-urban differences in the receipt of medical visits and care content delivery during the prepregnancy year, as well as the prenatal and postpartum periods among birthing people in the US, using survey-weighted multivariable logistic regression models. RESULTS: Rural-dwelling birthing people were significantly less likely to attend a medical visit in the prepregnancy year or postpartum period, even when controlled for sociodemographic and clinical characteristics. Compared to their urban counterparts, they were also less likely to receive comprehensive screening and counseling in the prepregnancy and postpartum maternity phases. CONCLUSION: Efforts to ameliorate rural-urban differences in maternal care access and quality should explicitly adopt multilevel, systemic approaches to policy and program implementation and evaluation. Policymakers and practitioners should consider telehealth as a potential complementary tool to minimize gaps in quality of care which disproportionately impact rural-dwelling birthing people.

Factors Associated with Incomplete Telemedicine Visits at an Virtual Urgent Care Center.

Virtual care utilization has exponentially grown since the onset of the pandemic. However, unknown are the factors associated with incomplete virtual care visits. The purpose of this study is to investigate the factors associated with telemedicine call drops. We utilized an on-demand virtual urgent care service to examine the differences between completed and uncompleted visits. We conducted a cross-sectional study of 22,721 telemedicine encounters. We found that older adults were associated with higher rates of completing telemedicine visits, with higher odds with telephone visits. This study adds new knowledge about the factors that may lead to unsuccessful virtual care visits, which is of interest to policy makers.

Analyzing COVID-19 Rates Between Residents and Staff in Correctional Facilities: A Telemedicine Opportunity.

To evaluate the relationship of COVID-19 infection rates between residents and staff members in prison facilities. We collected historical data on daily COVID-19 counts for California, Florida, and Wisconsin residents and staff. We analyzed 78,250 COVID-19 cases among residents and 25,392 cases among staff. Strong positive associations were found in the rates of COVID-19 cases between residents and staff, suggesting telemedicine can help reduce outbreaks.

Utilization and Satisfaction of an On-Demand Telemedicine Service in Urban and Rural Communities.

Health disparities between urban and rural America have been studied extensively, and findings consistently show many inequities. The objective of this study was to evaluate patient experiences and utilization among patients in North Carolina who use telemedicine. A retrospective cohort study was performed to examine the utilization and satisfaction of patients using a virtual care service at a Southeastern Medical Center in the U.S. Of 1974 telemedicine patients, 1366 (79.3%) were female, 1046(60.7%) were between 35-64 years, 913(53%) had insurance coverage. Statistically significant differences between rural and urban patients in how patients rated both their provider (p<0.01) and overall telemedicine experience (p<0.01). Our findings showed high satisfaction scores among both rural and urban communities in using the telemedicine platform with slightly higher scores among rural patients, which shows the need for on-demand telemedicine to increase health access and patient outcomes among rural communities.

A chatbot for hypertension self-management support: user-centered design, development, and usability testing.

Objectives: Health-related chatbots have demonstrated early promise for improving self-management behaviors but have seldomly been utilized for hypertension. This research focused on the design, development, and usability evaluation of a chatbot for hypertension self-management, called "Medicagent." Materials and Methods: A user-centered design process was used to iteratively design and develop a text-based chatbot using Google Cloud's Dialogflow natural language understanding platform. Then, usability testing sessions were conducted among patients with hypertension. Each session was comprised of: (1) background questionnaires, (2) 10 representative tasks within Medicagent, (3) System Usability Scale (SUS) questionnaire, and (4) a brief semi-structured interview. Sessions were video and audio recorded using Zoom. Qualitative and quantitative analyses were used to assess effectiveness, efficiency, and satisfaction of the chatbot. Results: Participants (n = 10) completed nearly all tasks (98%, 98/100) and spent an average of 18 min (SD = 10 min) interacting with Medicagent. Only 11 (8.6%) utterances were not successfully mapped to an intent. Medicagent achieved a mean SUS score of 78.8/100, which demonstrated acceptable usability. Several participants had difficulties navigating the conversational interface without menu and back buttons, felt additional information would be useful for redirection when utterances were not recognized, and desired a health professional persona within the chatbot. Discussion: The text-based chatbot was viewed favorably for assisting with blood pressure and medication-related tasks and had good usability. Conclusion: Flexibility of interaction styles, handling unrecognized utterances gracefully, and having a credible persona were highlighted as design components that may further enrich the user experience of chatbots for hypertension self-management.

Foundational domains and competencies for baccalaureate health informatics education.

BACKGROUND: Foundational domains are the building blocks of educational programs. The lack of foundational domains in undergraduate health informatics (HI) education can adversely affect the development of rigorous curricula and may impede the attainment of CAHIIM accreditation of academic programs. OBJECTIVE: This White Paper presents foundational domains developed by AMIA's Academic Forum Baccalaureate Education Committee (BEC) which include corresponding competencies (knowledge, skills, and attitudes) that are intended for curriculum development and CAHIIM accreditation quality assessment for undergraduate education in applied health informatics. METHODS: The AMIA BEC used the previously published master's foundational domains as a guide to creating a set of competencies for health informatics at the undergraduate level to assess graduates from undergraduate health informatics programs for competence at graduation. A consensus method was used to adapt the domains for undergraduate level course work and harmonize the foundational domains with the currently adapted domains for HI master's education. RESULTS: Ten foundational domains were developed to support the development and evaluation of baccalaureate health informatics education. DISCUSSION: This article will inform future work towards building CAHIIM accreditation standards to ensure that higher education institutions meet acceptable levels of quality for undergraduate health informatics education.

Patient and Provider Recommendations for Improved Telemedicine User Experience in Primary Care: A Multi-Center Qualitative Study.

Objective: The purpose of this study was to explore telemedicine use and obtain actionable recommendations to improve telemedicine user experience from a diverse group of patients and providers. Methods: We interviewed adult patients and primary care providers (PCPs) across three National Patient-Centered Clinical Research Network (PCORnet) sites in New York City, North Carolina, and Florida. Both patients and providers could participate via phone or videoconferencing; patients could complete the interview in English or Spanish. Spanish interviews were conducted by a member of the research team who spoke Spanish fluently. Interviews were audio-recorded, transcribed verbatim, and when necessary, professionally translated. Results: We interviewed 21 PCPs and 65 patients between March and October 2021. We found that patients' and providers' perspectives on ways to improve the telemedicine experience focused on three recommendation themes: (1) expectations of care provided via telemedicine, (2) innovations to support usability, and (3) alleviation of physician burden. Key recommendations were related to expectations regarding (1) care provided, for example, adding educational content for the patients, and clarity about long-term payment models; (2) support innovation to improve telemedicine usability, for example, providing patients with remote monitoring devices, integrating in-home testing and nursing evaluation; (3) and reduce physician burden, for example, virtual rooming, reimbursement of time spent outside of the telemedicine encounter. Discussion: Primary care patients and providers see merit in telemedicine. However, both groups recommended novel ways to improve the quality of care and user experience. Findings from this article suggest that policymakers would be best served by addressing current gaps in patient digital literacy by creating technical support strategies, and gaps in telemedicine reimbursement to present an equitable form of payment.

Assessment of Stakeholder Perceptions and Cost of Implementing a Telemedicine Specialty Program at Correctional Facilities in North Carolina.

Background Delivering in-person health care to the more than 1.2 million incarcerated adults can be expensive, logistically challenging, fragmented, and pose security risks. The purpose of this study was to evaluate the implementation of a specialty care telemedicine program in statewide prisons in North Carolina during the COVID-19 pandemic. Methods We evaluated the first 6 months of implementation of a new telemedicine program to deliver specialty care to adults incarcerated in 55 North Carolina prison facilities. We measured patient and practitioner perceptions and the impact on the cost of care. Results A total of 3232 telemedicine visits were completed across 55 prisons within the first 6 months of the program. Most patients reported that the ability to use telemedicine contributed to their overall personal well-being and safety. Many practitioners found that working with the on-site nursing staff to conduct physical exams and to make collective decisions were key drivers to the success of telemedicine. A direct relationship was found between the telemedicine experience and patients' preference for future visits such that as satisfaction increased, the desire to use telemedicine increased. Telemedicine reduced total costs of care by $416,020 (net: -$95,480) within the first 6 months, and $1,195,377 estimated in the first 12 months postimplementation (95% confidence interval: $1,100,166-$1,290,587). Conclusions Implementing specialty care telemedicine in prison facilities enhanced patient and practitioner experiences and reduced costs within the prison system. The implementation of telemedicine in prison systems can increase access to care and reduce public safety risks by eliminating unnecessary off-site medical center visits.

Black Smokers' Preferences for Features of a Smoking Cessation App: Qualitative Study.

BACKGROUND: Mobile health (mHealth) interventions for smoking cessation have grown extensively over the last few years. Although these interventions improve cessation rates, studies of these interventions consistently lack sufficient Black smokers; hence knowledge of features that make mHealth interventions attractive to Black smokers is limited. Identifying features of mHealth interventions for smoking cessation preferred by Black smokers is critical to developing an intervention that they are likely to use. This may in turn address smoking cessation challenges and barriers to care, which may reduce smoking-related disparities that currently exist. OBJECTIVE: This study aims to identify features of mHealth interventions that appeal to Black smokers using an evidence-based app developed by the National Cancer Institute, QuitGuide, as a reference. METHODS: We recruited Black adult smokers from national web-based research panels with a focus on the Southeastern United States. Participants were asked to download and use QuitGuide for at least a week before participation in remote individual interviews. Participants gave their opinions about features of the QuitGuide app and other mHealth apps they may have used in the past and suggestions for future apps. RESULTS: Of the 18 participants, 78% (n=14) were women, with age ranging from 32 to 65 years. Themes within five major areas relevant for developing a future mHealth smoking cessation app emerged from the individual interviews: (1) content needs including health and financial benefits of quitting, testimonials from individuals who were successful in quitting, and strategies for quitting; (2) format needs such as images, ability to interact with and respond to elements within the app, and links to other helpful resources; (3) functionality including tracking of smoking behavior and symptoms, provision of tailored feedback and reminders to users, and an app that allows for personalization of functions; (4) social network, such as connecting with friends and family through the app, connecting with other users on social media, and connecting with a smoking cessation coach or therapist; and (5) the need for inclusivity for Black individuals, which may be accomplished through the inclusion of smoking-related information and health statistics specific for Black individuals, the inclusion of testimonials from Black celebrities who successfully quit, and the inclusion of cultural relevance in messages contained in the app. CONCLUSIONS: Certain features of mHealth interventions for smoking cessation were highly preferred by Black smokers based on their use of a preexisting mHealth app, QuitGuide. Some of these preferences are similar to those already identified by the general population, whereas preferences for increasing the inclusivity of the app are more specific to Black smokers. These findings can serve as the groundwork for a large-scale experiment to evaluate preferences with a larger sample size and can be applied in developing mHealth apps that Black smokers may be more likely to use.