The association between rurality, dual Medicare/Medicaid eligibility and chronic conditions with telehealth utilization: An analysis of 2019-2020 national Medicare claims.

INTRODUCTION: Telehealth services have the potential to increase healthcare access among underserved populations, such as rural residents and racial/ethnic minority groups. The COVID-19 public health emergency led to unprecedented growth in telehealth utilization, but evidence suggests the growth has not been equitable across all patient populations. This study aimed to explore whether telehealth utilization and expansion changed equitably from 2019 to 2020 among sub-groups of Medicare beneficiaries. METHODS: We conducted an analysis of telehealth utilization among a 20% random sample of 2019-2020 Medicare beneficiaries on a national level. We fit multivariable logistic regression models and calculated average marginal effects (AME) to assess the association between demographic and clinical characteristics on telehealth utilization. RESULTS: We found telehealth utilization was less likely among non-Hispanic Black/African-American (2019: adjusted odds ratio [aOR] = 0.77, AME = -0.15; 2020: aOR = 0.85, AME = -3.50) and Hispanic (2019: aOR = 0.79, AME = -0.13; 2020: aOR = 0.87, AME = -2.89) beneficiaries, relative to non-Hispanic White beneficiaries in both 2019 and 2020, with larger disparities in 2020. Rural beneficiaries were more likely to utilize telehealth than urban beneficiaries in 2019 (aOR = 2.62, AME = 0.84), but less likely in 2020 (aOR = 0.57, AME = -14.47). In both years, dually eligible Medicare/Medicaid beneficiaries were more likely than non-dually eligible beneficiaries to utilize telehealth (2019: aOR = 4.75, AME = 0.84; 2020: aOR = 1.34, AME = 2.25). However, the effects of dual eligibility and rurality changed in both models as the number of chronic conditions increased. DISCUSSION: We found evidence of increasing disparities in telehealth utilization among several Medicare beneficiary sub-groups in 2020 relative to 2019, including individuals of minority race/ethnicity, rural residents, and dually eligible beneficiaries, with disparities increasing among individuals with more chronic conditions. Although telehealth has the potential to address health inequities, our findings suggest that many of the patients in greatest need of healthcare are least likely to utilize telehealth services.

Assessment of Pregnancy-Related Telehealth Interventions in the United States: A 10-Year Scoping Review.

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.

Exploring the feasibility, acceptability, and preliminary effectiveness of a culturally adapted group prenatal program, CenteringPregnancy, to reduce maternal and infant health disparities among Marshallese Pacific Islanders: A study protocol.

Background: Marshallese Pacific Islanders residing in the United States have higher rates of adverse perinatal outcomes than the general population and experience numerous barriers to prenatal care. CenteringPregnancy is a group prenatal care model which occurs in the patient's community. CenteringPregnancy, when applied to the Marshallese population, presents a potentially highly successful group-based intervention that can mitigate adverse perinatal outcomes among Marshallese Pacific Islanders. Methods: This article describes the protocol of a mixed-methods study designed to examine the feasibility, acceptability, and preliminary effectiveness of the implementation of CenteringPregnancy for Marshallese Pacific Islander women. The mixed-methods design collects qualitative and quantitative data at the onset of CenteringPregnancy and during their last session and then augments the data with post-partum data abstraction. Conclusion: This will be the first study to culturally adapt and implement CenteringPregnancy with Marshallese pregnant women in the United States. This study will be an important first step to exploring the feasibility, acceptability, and preliminary effectiveness of CenteringPregnancy and will better prepare the research team to assess and refine the intervention moving forward. Trial registration: This study was registered at ClinicalTrials.gov on September 22, 2020 under identifier NCT04558619 and can be accessed at https://clinicaltrials.gov/ct2/show/NCT04558619?term=K%C5%8Dmmour+Prenatal&draw=2&rank=1.

A State Profile of Disparities in Telehealth Utilization Among Medicare Beneficiaries: An Intersection Between Race/Ethnicity, Rurality, and Chronic Conditions-Arkansas, 2019.

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.

Using data analytics for telehealth utilization: A case study in Arkansas.

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.

Maternal comorbidity index and severe maternal morbidity among medicaid covered pregnant women in a US Southern rural state.

BACKGROUND: The rates of SMM have been steadily increasing in Arkansas, a southern rural state, which has the 5th highest maternal death rate among the US states. The aims of the study were to test the functionality of the Bateman index in association to SMM, in clustering the risks of pregnancies to SMM, and to study the predictability of SMM using the Bateman index. STUDY DESIGN: From the ANGELS database, 72,183 pregnancies covered by Medicaid in Arkansas between 2013 and 2016 were included in this study. The expanded CDC ICD-9/ICD-10 criteria were used to identify SMM. The Bateman comorbidity index was applied in quantifying the comorbidity burden for a pregnancy. Multivariable logistic regressions, KMeans method, and five widely used predictive models were applied respectively for each of the study aims. RESULTS: SMM prevalence remained persistently high among Arkansas women covered by Medicaid (195 per 10,000 deliveries) during the study period. Using the Bateman comorbidity index score, the study population was divided into four groups, with a monotonically increasing odds of SMM from a lower score group to a higher score group. The association between the index score and the occurrence of SMM is confirmed with statistical significance: relative to Bateman score falling in 0-1, adjusted Odds Ratios and 95% CIs are: 2.1 (1.78, 2.46) for score in 2-5; 5.08 (3.81, 6.79) for score in 6-9; and 8.53 (4.57, 15.92) for score ≥10. Noticeably, more than one-third of SMM cases were detected from the studied pregnancies that did not have any of the comorbid conditions identified. In the prediction analyses, we observed minimal predictability of SMM using the comorbidity index: the calculated c-statistics ranged between 62% and 67%; the Precision-Recall AUC values are <7% for internal validation and <9% for external validation procedures. CONCLUSIONS: The comorbidity index can be used in quantifying the risk of SMM and can help cluster the study population into risk tiers of SMM, especially in rural states where there are disproportionately higher rates of SMM; however, the predictive value of the comorbidity index for SMM is inappreciable.

Factors Associated with Remote Patient Monitoring Services Provision by Hospitals and Health Care Systems in the United States.

Purpose: To assess the factors associated with offering remote patient monitoring (RPM) services. Methods: We integrated three datasets: (1) 2019-2020 Area Health Resource Files, (2) 2019 American Community Survey, and (3) 2019 American Hospitals Association annual survey using county Federal Information Processing Standards code to evaluate associations between hospital characteristics and county-level demographic factors with provision of (1) post-discharge, (2) chronic care, (3) other RPM services, and (4) any of these three RPM service categories. These outcomes were analyzed using multi-level, mixed-effects multivariate logistic regression modeling to account for county-level clustering of hospitals. Findings: Among 3,381 hospitals, 1,354 (40.0%) provided any RPM services. Being part of a clinically integrated network (CIN) and private, non-profit (vs. public) ownership were respectively associated with 104.5% (95% confidence interval [CI]: 69.4-146.8%; p < 0.001) and 30.4% (95% CI: 2.5-66.0%; p = 0.031) higher odds of providing any RPM services. Critical access hospital (CAH) designation, for-profit (vs. public) ownership, and location in the South (vs. Northeast) were associated with significantly lowering odds of providing any RPM services by 36.2% (95% CI: 14.2-52.6%; p = 0.003), 70.1% (95% CI: 56.0-79.6%; p < 0.001), and 34.0% (95% CI: 2.8-55.1%; p = 0.035), respectively. Similar trends were found with the various RPM service categories. Conclusions: The factors most associated with provision of any RPM services were hospital-level factors. Specifically, being part of a CIN and private, non-profit ownership had the highest positive associations with offering RPM services whereas location in the South and CAH designation had the strongest negative associations. Further studies are needed to understand the reasons behind these associations.

Utilization of Remote Patient Monitoring Within the United States Health Care System: A Scoping Review.

Introduction: Limited information exists on the landscape of studies and policies for remote patient monitoring (RPM) in the United States. Methods: We conducted a scoping review to assess (1) for which adult patient populations and health care needs is RPM being used and (2) the landscape of national- and state-level reimbursement policies for RPM. This study was guided by the Arksey and O'Malley methodological framework for scoping reviews and the Joanna Briggs Institute Manual for Evidence Synthesis. Results: A total of 399 articles were included in our final sample: 268 study articles and 131 articles of gray literature (e.g., websites, legislative bills). RPM-related articles rose drastically from 2015 to 2021, and the vast majority of articles were peer-reviewed journal articles. Of the study articles, prospective cohort studies were the most common study method, with m-health/smart watches being the most common RPM modality. RPM was found to be most commonly tested within patients with cardiovascular diseases, and the most common outcomes measured were usability and feasibility. Gray literature found 36 U.S. state Medicaid programs had reimbursement policies for RPM in 2021; however, 28 of those had at least one restriction on reimbursement (e.g., limited to specific providers). Conclusions: Despite the rapid growth in the literature on RPM and the adoption of reimbursement policies, retrospective, population-level studies, large randomized controlled trials, studies with a focus on additional favorable outcomes (e.g., quality of life), and studies evaluating trends in RPM reimbursement policies are lacking in the current literature.

17 Alpha-hydroxyprogesterone caproate use in a rural state.

BACKGROUND: 17 alpha-hydroxyprogesterone caproate (17OHP) is used to reduce the recurrent risk of preterm delivery in women with a history of preterm delivery. Meis et al. conducted a double-blind placebo controlled trial to evaluate the effectiveness of 17OHP and observed a significant reduction in the risk of recurrent preterm delivery. The FDA granted 17OHP a conditional approval on 2011. A second study observed that 17OHP did not decrease the risk of a recurrent preterm delivery. Criticism of the second study derived from a dissimilarity of the study population. OBJECTIVE: Our investigation examined the effectiveness of 17OHP in women with a prior preterm delivery in a rural US state with a patient population similar to the original Meis trial. STUDY DESIGN: 17OHP became largely unavailable (due to cost and local pharmacies no longer compounding 17 OHP) and the University of Arkansas for Medical Sciences, Department of Health, and Arkansas Medicaid co-operated to make 17OHP available to women with a prior PTB in our state. This study was a retrospective review of the 17OHP that was offered to women with a prior preterm delivery. For our retrospective review, logistic regression was used on cases of prior preterm delivery between January 2014 and December of 2018 to examine the relationship between 17OHP injections and preterm delivery. RESULTS: A total of 268 women were analyzed for this review. They were divided into three groups: 0 injections, 1-10 injections, and > 10 injections. We found no relationship between 17OHP injections with preterm delivery. CONCLUSION: Although our patient population was similar to that of the original Meis trial, our results were more similar to the second study by Blackwell.

Factors Associated with First-Time Telehealth Utilization for Marshallese Living in the United States.

Background: Mitigation efforts to prevent the spread of COVID-19 included the robust utilization of telehealth. However, racial/ethnic minority populations have demonstrated low telehealth utilization in the past. The aim of this study was to examine the first-time use of telehealth by Marshallese adults during the COVID-19 pandemic, using online survey data collected from 109 Marshallese respondents between July and November of 2020. Methods: To evaluate the relationships between sociodemographic characteristics, health care access, physical/mental health, and COVID-19-specific measures and the decision to use telehealth, we use bivariate analyses, including t-tests and chi-square analysis. Results: Eighteen respondents (16.5%) indicated they utilized telehealth for the first time during the pandemic. The number of chronic conditions reported was positively associated with the first-time use of telehealth (p = 0.013). Although not statistically significant, a higher proportion of Marshallese first-time telehealth users reported limited English proficiency, changes in health status, and changes in health insurance. Discussion: Although telehealth has been shown to reduce the absolute gaps in health disparities for minority populations, there is limited utilization by Marshallese communities. Conclusions: Significant research remains on the utilization of telehealth by Marshallese during the COVID-19 pandemic and to increase utilization in the future.

Evaluation of a telemedicine program managing high-risk pregnant women with pre-existing diabetes in Arkansas's Medicaid program.

OBJECTIVE: We aim to evaluate the effects of the telemedicine program, High-Risk Pregnancy Program at University of Arkansas for Medical Sciences (UAMS), on health services utilization and medical expenditures among pregnant women with pre-existing diabetes and their newborns. RESEARCH DESIGN AND METHODS: The study sample was selected from the Arkansas Medicaid claims linked to infant birth/death certificates and UAMS telemedicine records from 2013 through 2016. We used propensity score matching based on participants' characteristics to create three groups - UAMS telemedicine care, UAMS in-person care, and non-UAMS prenatal care. We compared inpatient and outpatient care services, medication use and caesarean section rates, severe maternal morbidity, infant mortality and preterm birth rates and medical expenditures. RESULTS: The UAMS telemedicine group had fewer inpatient admissions (1.18 vs 1.31; 95% CI: -0.27, 0.00), lower insulin use rates (41.86% vs 59.88%; 95% CI: -29.00%, -7.05%) and lower maternal care expenditures ($7,846 vs $10,644; 95% CI: -$4,089, -$1,507) compared with the UAMS in-person care group. Women receiving UAMS telemedicine had more prenatal care visits (10.45 vs 8.57; 95% CI: -2.96, -0.81), higher insulin use rates (41.86% vs 26.74%: 95% CI: 4.63%, 25.60%) and similar maternal care expenditures ($7,846 vs $7,051), compared with those receiving non-UAMS in-person care. Caesarean section, severe maternal morbidity, and infant mortality rates were similar across the three groups. CONCLUSION: UAMS telemedicine was associated with improved utilization of prenatal care among pregnant women with pre-existing diabetes. Telemedicine services did not differ from usual in-person services in clinical outcomes and medical expenditures.

Use of Telemedicine and Smart Technology in Obstetrics: Barriers and Privacy Issues.

While telemedicine had been utilized in varying ways over the last several years, it has dramatically accelerated in the era of the COVID-19 pandemic. In this article we describe the privacy issues, in relation to the barriers to care for health care providers and barriers to the obstetric patient, licensing and payments for telehealth services, technological issues and language barriers. While there may be barriers to the use of telehealth services this type of care is feasible and the barriers are surmountable.

Fetal assessment in buprenorphine-maintained women using fetal magnetoencephalography: a pilot study.

BACKGROUND AND AIMS: In-utero exposure to opioids including buprenorphine (BUP) has been shown to affect fetal activity, specifically heart-rate variability (FHRV) and fetal movement (FM). Our objective was to extract simultaneous recordings of fetal cardiac and brain-related activity in BUP-maintained and non-opioid exposed pregnant women using a novel non-invasive biomagnetic technique. DESIGN: A pilot study was conducted, recording and analyzing biomagnetic data from fetuses of BUP-maintained and non-opioid exposed pregnant women. Signals were acquired with the non-invasive 151-channel SARA (SQUID-Array for Reproductive Assessment) system. Advanced signal-processing techniques were applied to extract fetal heart and brain activity. SETTING: University of Arkansas for Medical Sciences (UAMS, Little Rock, Arkansas, USA). PARTICIPANTS: Eight BUP-maintained pregnant women from UAMS Women's Mental Health Program between gestational ages (GA) of 29-37 weeks who were treated with 8-24 mg of BUP daily. Sixteen pregnant women with no known opioid exposure in the same GA range were also included. MEASUREMENTS: Outcome measures from the fetal heart and brain signals included: heart rate (FHR), FM, FHR accelerations, FHR-FM coupling, FHRV, fetal behavioral states (FBS) and power spectral density (PSD) of spontaneous brain activity. These measures were analyzed at three GA intervals. FINDINGS: Fetal heart and brain activity parameters were extracted and quantified successfully from 18 non-opioid and 16 BUP recordings. Overall analysis in both groups show that: FHR and FM ranged from 131 to 141 beats per minute (b.p.m.) and 5 to 11 counts, respectively. In the 35-37 weeks GA, the coupling duration (~9 s) was the shortest, while three of the FHRV parameters were the highest. The PSD of brain activity revealed highest power in 0.5-4 Hz bandwidth. Transitions in FBS from quiet to active sleep were > 50% of sessions. CONCLUSIONS: This pilot study showed that a novel biomagnetic technique allows simultaneous quantification of cardiac and brain activities of a group of buprenorphine-exposed and non-exposed fetuses in the third trimester.

High-risk obstetrical call center: a model for regions with limited access to care.

PURPOSE: High-risk obstetrical care can be challenging for women in rural states with limited access. MATERIALS AND METHODS: Data were evaluated from 62,342 obstetrical calls from pregnant and postpartum patients within rural Arkansas to a nurse call center. Call center nurses provided triage using evidence-based guidelines to patients across the state. Data were extracted and analyzed using retrospective data collection and descriptive statistical methods. RESULTS: Women had an average maternal age of 28 years old, average weeks gestation was 27.4, over half had Medicaid 32,513 (52.15%), and the greatest percentage were in their first pregnancy 14,232 (34.1%). The greatest percentage of calls resulted in a recommendation to come to the hospital to be evaluated 25,894 (41.54%) followed by advice with no prescription given 19,442 (31.19%). The most frequent guidelines used included preterm labor 5114 (8.24%) followed by abdominal pain >20 weeks 4,518 (7.28%). CONCLUSIONS: A centralized obstetrical nurse call center model, including 24/7 availability, using triage software for obstetrical care, with experienced labor and delivery nurses to answer and respond to calls and secondary triage performed by OB/GYN physicians or Advance Practice Registered Nurses (APRN) has the potential of improving access to obstetric care in rural areas.

Exploring Implementation of m-Health Monitoring in Postpartum Women with Hypertension.

BACKGROUND: Preeclampsia is a hypertensive disorder in pregnancy where a patients' blood pressure and warning signs of worsening disease need to be closely monitored during pregnancy and the postpartum period. INTRODUCTION: No studies have examined remote patient monitoring using mobile health (m-health) technologies in obstetrical care for women with preeclampsia during the postpartum period. Remote monitoring and m-health technologies can expand healthcare coverage to the patient's home. This may be especially beneficial to patients with chronic conditions who live far from a healthcare facility. MATERIALS AND METHODS: The study was designed to identify and examine the potential factors that influenced use of m-health technology and adherence to monitoring symptoms related to preeclampsia in postpartum women. A sample of 50 women enrolled into the study. Two participants were excluded, leaving a total sample size of 48 women. Users were given m-health devices to monitor blood pressure, weight, pulse, and oxygen saturation over a 2-week period. Nonusers did not receive equipment. The nurse call center monitored device readings and contacted participants as needed. Both groups completed a baseline and follow-up survey. RESULTS: Women who elected to use the m-health technology on average had lower levels of perceived technology barriers, higher facilitating condition scores, and higher levels of perceived benefits of the technology compared with nonusers. Additionally, among users, there was no statistical difference between full and partial users at follow-up related to perceived ease of use, perceived satisfaction, or perceived benefits. DISCUSSION: This study provided a basis for restructuring the management of care for postpartum women with hypertensive disorders through the use of m-health technology. CONCLUSION: Mobile health technology may be beneficial during pregnancy and the postpartum period for women with preeclampsia to closely manage and monitor their blood pressure and warning signs of worsening disease.

Fetal magnetocardiography using optically pumped magnetometers: a more adaptable and less expensive alternative?

Fetal magnetocardiography provides the requisite precision for diagnostic measurement of electrophysiological events in the fetal heart. Despite its significant benefits, this technique with current cryogenic based sensors has been limited to few centers, due to high cost of maintenance. In this study, we show that a less expensive non-cryogenic alternative, optically pumped magnetometers, can provide similar electrophysiological and quantitative characteristics when subjected to direct comparison with the current technology. Further research can potentially increase its clinical use for fetal magnetocardiography. © 2016 John Wiley & Sons, Ltd.

Application of a Telecolposcopy Program in Rural Settings.

BACKGROUND: Individuals in rural areas are often restricted by the amount of physicians' availability, thus limiting access to healthcare in those settings. INTRODUCTION: While Pap smear screening has increased across the United States, the rural South still reports high rates of cervical cancer and mortality. One solution to improve patient outcomes related to cervical cancer in rural settings is telecolposcopy. MATERIALS AND METHODS: Women with abnormal Pap results or an abnormal visual examination needing an evaluation by colposcopy were referred to a hospital-based telecolposcopy program. Descriptive data are provided that include patients' access to care based on travel time and transportation costs. RESULTS: Over a 15-month time period, 940 unique patients were seen using telecolposcopy. Telecolposcopy was done at eight spoke sites across Arkansas representing patients from 72 of the 75 counties. Data for risk factors that include smoking, first sexual experience, and number of sexual partners in past 12 months and in a lifetime are discussed. Pap results and impression are provided. In addition, avoided transportation costs and travel time have been calculated and included. DISCUSSION: Cervical cancer is important public health concern especially for women residing in rural areas. We were able to demonstrate that our telecolposcopy program has provided sustainability statewide since its inception and that patients are willing to participate. In addition to providing increased access to care, the program also reduced travel time and costs associated with a face-to-face visit. CONCLUSION: Telecolposcopy should be further explored and utilized in rural settings as a way to reduce patient costs and improve cervical cancer outcomes.

Fetal neurological assessment using noninvasive magnetoencephalography.

SQUID Array for Reproductive Assessment is a unique magnetoencephalography device designed for the noninvasive recording of fetal brain activity. In this article, we provide a general overview of the technology and its potential application to fetal medicine. A large number of studies that have been conducted and published describing this device since it was brought into operation are referenced throughout the article.