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Introduction Hypertension affects 5-10% of pregnancies in the United States. Chronic hypertension during pregnancy can have a significant impact on maternal and neonatal outcomes, especially in rural populations. Pregnancies complicated by hypertension are currently managed through frequent clinic visits or extended hospital stays. Cellular-enabled remote patient monitoring devices provide an alternative treatment method for women in rural areas. Research Aim This study aimed to measure the feasibility of and patient satisfaction with using an integrated model of cellular-enabled remote patient monitoring devices for blood pressure supported by a 24/7 nurse call center. Methods In a mixed methods pilot study, twelve women with chronic hypertension during pregnancy were given cellular-enabled BodyTrace.sup.[TM] blood pressure cuffs and weight scales. Participants' blood pressures were continuously monitored by a nurse call center. Participants completed a survey and a brief semi-structured interview after two weeks. Results Participants scored low on stress and anxiety with mean scores of 5.45 (SD = 3.56) and 8.09 (SD 3.62), respectively. Participants scored high on behavioral intention, system usability, and perceived benefits with mean scores of 8.73 (SD = 2.53), 75.91 (SD = 23.70), and 19.64 (SD = 5.92), respectively. Participants perceived benefits to using the device, including increased monitoring by health professionals, increased self-awareness, decreased number of clinic visits, and convenience of use. Perceived disadvantages included higher readings when compared to clinical readings. Discussion Cellular-enabled remote patient monitoring devices for blood pressure are a valuable tool for managing treatment of pregnancies complicated by hypertension., Author(s): Rebecca D. Jones [sup.1] , M. Kathryn Allison [sup.1] , Heather Moody [sup.1] , Cheng Peng [sup.1] , Hari Eswaran [sup.1] Author Affiliations: (1) grid.241054.6, 0000 0004 4687 1637, [...]

Introduction: Many patients used telehealth services during the COVID-19 pandemic. In this study, we evaluate how different factors have affected telehealth utilization in recent years. Decision makers at the federal and state levels can use the results of this study to inform their healthcare-related policy decisions. Methods: We implemented data analytics techniques to determine the factors that explain the use of telehealth by developing a case study using data from Arkansas. Specifically, we built a random forest regression model which helps us identify the important factors in telehealth utilization. We evaluated how each factor impacts the number of telehealth patients in Arkansas counties. Results: Of the 11 factors evaluated, five are demographic, and six are socioeconomic factors. Socioeconomic factors are relatively easier to influence in the short term. Based on our results, broadband subscription is the most important socioeconomic factor and population density is the most important demographic factor. These two factors were followed by education level, computer use, and disability in terms of their importance as it relates to telehealth use. Discussion: Based on studies in the literature, telehealth has the potential to improve healthcare services by improving doctor utilization, reducing direct and indirect waiting times, and reducing costs. Thus, federal and state decision makers can influence the utilization of telehealth in specific locations by focusing on important factors. For example, investments can be made to increase broadband subscriptions, education levels, and computer use in targeted locations. [ABSTRACT FROM AUTHOR]

Background: Telehealth is a rapidly growing modality for expanding healthcare access, especially in the post-COVID-19 era. However, telehealth requires high-quality broadband, thus making broadband a social determinant of health. The objective of this study was to evaluate the association between broadband access and telehealth utilization across the United States during the COVID-19 pandemic. Methods: Using a cross-sectional, ecological study design, we merged county-level data on broadband capacity (Microsoft's Rural Broadband Initiative), telehealth utilization among Medicare Fee-for-Service beneficiaries from January through September 2020 (CareJourney), and county-level socioeconomic characteristics (Area Health Resources Files). Multivariable linear regression was used to estimate the association between broadband capacity, county-level characteristics, and telehealth utilization. Results: Among the 3107 counties, those with the greatest broadband availability (quintile 5) had 47% higher telehealth utilization compared to counties with the least broadband availability (quintile 1). In the adjusted model, a 1 standard deviation (SD) increase in broadband access was associated with a 1.54 percentage point (pp) increase in telehealth utilization (P < 0.001). Rural county designation (−1.96 pp; P < 0.001) and 1 SD increases in average Medicare beneficiary age (−1.34 pp; P = 0.001), number of nursing home beds per 1000 individuals (−0.38 pp; P = 0.002), and proportion of Native Americans/Pacific Islanders (−0.59 pp; P < 0.001) were associated with decreased telehealth utilization. Conclusion: The association between broadband access and telehealth utilization and the decreased telehealth utilization in rural areas highlight the importance of broadband access for healthcare access and the need to continue investing in broadband infrastructure to promote equitable healthcare access across populations. [ABSTRACT FROM AUTHOR]

Introduction: During the COVID-19 pandemic, health care shifted to virtual interactions with health professionals. The aim of this study was to examine the determinants of telehealth use in a nationally representative sample of the United States adult population. Methods: The study used data from the 2020 National Health Interview Survey of 17,582 respondents aged ≥18. Andersen's model of health services utilization was employed to examine predisposing, enabling, and needs factors associated with past-year telehealth use. Multivariable logistic regression was conducted to examine statistical associations. Results: 32.5% of adults (n = 6402; mean age 51.6, SE = 0.4) reported telehealth use. Predisposing factors: Women and married/partnered adults and those with higher levels of education had greater odds of using telehealth. Adults living in Midwest and South and adults living in medium-small and non-metropolitan areas had decreased odds of using telehealth. Enabling factors: Income and having a usual source of care were positively associated with telehealth use. A negative association was found for those with no insurance and telehealth use, whereas a positive association was found for military insurance. Needs factors: Odds of using telehealth were increased for adults who had well-visits and ER visits in the past 12 months. Mental health services quadrupled the odds of telehealth use. Odds of using telehealth increased with each additional chronic disease, including COVID-19. Conclusion: There are disparities in telehealth use according to sex, education, rurality, access to care, and health needs. Tackling these disparities is pivotal to ensure barriers to telehealth use are not exacerbated post-pandemic. [ABSTRACT FROM AUTHOR]

Introduction:Telehealth is becoming integral to health care delivery, which may create a higher need for better internet. This is the first study to examine whether users are willing to spend more on their internet if they are (1) more experienced in using telehealth, (2) more optimistic about telehealth benefits, and (3) less concerned about the difficulty of using telehealth. Methods:We surveyed 5,200 Americans about their willingness to pay (WTP) for internet speed and quality on the one hand, and their (1) prior use of telehealth, (2) opinion about the benefits of telehealth, and (3) opinion about the difficulties of using telehealth. We stratified the sample using the three aspects above and conducted a conjoint analysis to estimate the WTP for internet speed and quality within each stratum. Results:Compared with respondents who had never used telehealth, respondents who had used five to six different types of telehealth services were willing to spend 50.4% more on their internet plans. Users who most firmly believed in the benefits of telehealth were willing to spend 59.2% more than the most pessimistic users. Users who had the lowest concerns about the difficulty of using telehealth were willing to spend 114% more than users with the most perceived difficulty. Discussion:We found strong ties between the WTP for internet and prior telehealth use and perceptions of telehealth benefits and barriers. Thus, internet expenditures may be influenced by users' anticipation of using telehealth. Future studies may investigate the causality of the relationship. [ABSTRACT FROM AUTHOR]

This study aims to show the relation between biomarkers in maternal and cord-blood samples and fetal heart rate variability (fHRV) metrics through a non-invasive fetal magnetocardiography (fMCG) technique. Twenty-three women were enrolled for collection of maternal serum and fMCG tracings immediately prior to their scheduled cesarean delivery. The umbilical cord blood was collected for measurement of biomarker levels. The fMCG metrics were then correlated to the biomarker levels from the maternal serum and cord blood. Brain-derived neurotrophic factor (BDNF) had a moderate correlation with fetal parasympathetic activity (0.416) and fetal sympathovagal ratios (−0.309; −0.356). Interleukin (IL)-6 also had moderate-sized correlations but with an inverse relationship as compared to BDNF. These correlations were primarily in cord-blood samples and not in the maternal blood. In this small sample-sized exploratory study, we observed a moderate correlation between fHRV and cord-blood BDNF and IL-6 immediately preceding scheduled cesarean delivery at term. These findings need to be validated in a larger population. [ABSTRACT FROM AUTHOR]

Introduction:Telehealth use in obstetrics has been demonstrated to improve efficiency, access to care, and pregnancy outcomes. Despite reported successful implementation of these programs, information regarding the program variations and its impact on health care costs and outcomes are scarce. Methods:This is a scoping review of pregnancy-related telehealth studies to understand the current landscape of pregnancy-related telehealth interventions as well as to subset those that are used in high-risk pregnancies. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework to guide this review. Results:A total of 70 articles were included in this scoping review. Of those, 53 (75.7%) studies included a pregnant population and 17 (24.3%) studies focused on a rural and/or urban population. Most studies (n = 56; 80%) included some form of synchronous interaction between provider and participant. Patient outcomes included maternal/infant health outcomes (n = 41; 44.1%), patient satisfaction (n = 9; 9.7%), and attendance/compliance (n = 5; 5.4%). Provider-level outcomes included knowledge change (n = 11; 11.8%) and self-efficacy (n = 3; 3.2%). Other outcomes included assessment of costs and patient/provider feasibility and acceptability of the intervention. Overall, there has been a growing trend in articles published on pregnancy-related telehealth studies since 2011, with 2018 having the most publications in a single year. Conclusion:This review suggests a steadily growing body of literature on pregnancy-related telehealth interventions; however, more research is needed to better understand outcomes of telehealth for pregnancy-related care, especially related to patient satisfaction, health disparities, and cost–benefit. [ABSTRACT FROM AUTHOR]

Introduction:The COVID-19 pandemic brought about renewed interest and investment in telehealth, while also highlighting persistent health disparities in the Southern states. Little is known about the characteristics of those utilizing telehealth services in Arkansas, a rural Southern state. We sought to compare the characteristics of telehealth utilizers and nonutilizers among Medicare beneficiaries in Arkansas before the COVID-19 public health emergency to provide a baseline for future research investigating disparities in telehealth utilization. Methods:We used Arkansas Medicare beneficiary data (2018–2019) to model telehealth use. We included interactions to assess how the association between the number of chronic conditions and telehealth was moderated by race/ethnicity and rurality, adjusted for covariates. Results:Overall telehealth utilization in 2019 was low (n = 4,463; 1.1%). The adjusted odds of utilizing telehealth was higher for non-Hispanic Black/African Americans (vs. white, adjusted odds ratio [aOR] = 1.34, 95% confidence interval [CI] = 1.17–1.52), rural beneficiaries (aOR = 1.99, 95% CI = 1.79–2.21), and those with more chronic conditions (aOR = 1.23, 95% CI = 1.21–1.25). Race/ethnicity and rurality were significant moderators, such that the association between the number of chronic conditions and telehealth was strongest among white and among rural beneficiaries. Discussion:Among the 2019 Arkansas Medicare beneficiaries, having more chronic conditions was most strongly associated with telehealth use among white and rural individuals, while the effect was not as pronounced for Black/African American and urban individuals. Our findings suggest that advances in telehealth are not benefiting all Americans equally, with aging minoritized communities continuing to engage with more strained and underresourced health systems. Future research should investigate how upstream factors such as structural racism perpetuate poor health outcomes. [ABSTRACT FROM AUTHOR]