Tolerance for Ambiguity: Correlations With Medical and Physical Therapy Student Traits and Experiences Within the Learning Environment.

PURPOSE: Health care professions trainees and clinicians who perceive ambiguous situations as sources of threat (low tolerance for ambiguity [TFA]) experience greater risk for mental health disorders and professional burnout. Physical therapists likely encounter substantial ambiguity because of the biopsychosocial nature of their main therapeutic strategies. The purpose of this study was to identify student traits and experiences within the learning environment that differentiate students with high and low TFA for medicine and physical therapy (PT), and to identify areas of interprofessional overlap and distinction. METHOD: Graduation Questionnaire survey data from graduating PT (n = 2,727) and medical students (n = 33,159) from the 2019-2020 and 2020-2021 academic years were sorted according to student TFA score, and respondents in the highest and lowest TFA quartiles were retained for analysis. Difference-in-differences analysis was used to reduce the number of potential explanatory factors to a parimonious subset that was put into linear regression models. Inferential statistics were applied to all significant factors identified from the linear regression models. RESULTS: For both professions, higher TFA was generally associated with more positive ratings of the learning environment (student-faculty interactions, faculty professionalism, satisfaction with career choice), lower experiences of exhaustion and disengagement (the 2 axes of academic burnout), and higher scores for the empathy domain of perspective taking. Uniquely for medical students, low TFA was associated with lower empathy scores and a lower degree of interest in working with underserved individuals. CONCLUSIONS: Findings suggest that for both professions, high TFA corresponded with better ratings of the educational experience and with traits that are advantageous for patient-centered practice and occupational resilience. Interventions to cultivate TFA among health care trainees may be an important way to meet the growing demand for humanistic health care professionals who are prepared to meet society's complex needs.

Chronic Disease Management through Clinical Video Telehealth on Health Care Utilization, and Mortality in the Veterans Health Administration: A Retrospective Cohort Study.

Background: Chronic health diseases such as congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), and diabetes mellitus (DM) affect 6 in 10 Americans and contribute to 90% of the $4.1 trillion health care expenditures. The objective of this study was to measure the effect of clinical video telehealth (CVT) on health care utilization and mortality. A retrospective cohort study of Veterans ≥65 years with CHF, COPD, or DM was conducted. Measures: Veterans using CVT were matched 1:3 on demographic characteristics to Veterans who did not use CVT. Outcomes included 1-year incidence of ED visits, inpatient admissions, and mortality, reported as adjusted odds ratios (aORs) and 95% confidence intervals (CIs). Results: Final analytical cohorts included 22,280 Veterans with CHF, 51,872 Veterans with COPD, and 170,605 Veterans with DM. CVT utilization was associated with increased ED visits for CHF (aOR: 1.24; 95% CI: 1.15-1.34), COPD (aOR: 1.20; 95% CI: 1.14-1.26), and DM (aOR: 1.07; 95% CI: 1.00-1.10). For CHF, there was no difference between CVT utilization and inpatient admissions (aOR: 0.98; 95% CI 0.91-1.05) or mortality (aOR: 1.03; 95% CI: 0.93-1.15). For COPD, CVT was associated with increased inpatient admissions (aOR: 1.08; 95% CI: 1.02-1.13) and mortality (aOR: 1.36; 95% CI: 1.25-1.48). For DM, CVT utilization was associated with lower risk of inpatient admissions (aOR: 0.83; 95% CI: 0.80-0.86) and mortality (aOR: 0.89; 95% CI: 0.84-0.95). Conclusions: CVT use as an alternative care site might serve as an early warning system, such that this mechanism may indicate when an in-person assessment is needed for potential exacerbation of conditions. Although inpatient and mortality varied, ED utilization was higher with CVT. Exploring pathways accessing clinical care through CVT, and how CVT is directly or indirectly associated with immediate and long-term clinical outcomes would be valuable.

Impact of a Reading Room Coordinator on Efficiency of On-Call Radiology Residents.

OBJECTIVES: Few level I trauma, tertiary care, academic centers have a paid, permanent reading room coordinator (RRC) to facilitate image management services during off-hour calls, to minimize interruptions to reading workflow. The purpose of this study is to investigate the effect of an RRC on the efficiency of radiology residents signing preliminary reports for emergency department (ED) and inpatient studies. METHODS: A pre- and postintervention retrospective review was performed, using carestream PACS to retrieve imaging studies read on call during two time periods-July 1 to December 1, 2019 (pre-RRC), and July 1 to December 1, 2021 (post-RRC). Efficiency of residents signing preliminary reports was measured by turnaround time (TAT), defined as the time from when a study was marked complete by a technologist to when a preliminary report was signed by a resident, in PACS. RESULTS: In the above time periods, residents interpreted a total of 64,406 studies on call. For ED studies, the mean TAT was 7.0 min shorter post-RRC, compared with pre-RRC (95% confidence interval [CI]: -7.8 to -6.1, (t = 15.50, degrees of freedom (df) = 31,866, P < .0001). The percentage of ED studies signed within 30 min increased from 57.7% to 65.8%, an increase of 8.1% (95% CI: 7.0% to 9.1%) after employing an RRC (χ2 = 228.11, df = 1, P < .0001). For inpatient studies, the mean TAT was 10.2 min shorter post-RRC (95% CI: -12.3 to -8.0, t = 9.22, df = 25,193, P < .0001). CONCLUSIONS: An RRC increased radiology resident on-call workflow efficiency, facilitating care for patients in both the ED and inpatient setting.

Comparison of Treatment Modality Crossovers in Telehealth and In-Person Behavioral Health Treatment in Rural Communities.

Background: Treatment crossovers occur when one mode of treatment is begun and then a different mode of treatment is utilized. Treatment crossovers are frequently examined in randomized controlled trials, but have been rarely noted or quantitatively evaluated in usual care treatment studies. The purpose of this analysis is to examine the extent of modality crossovers during behavioral health treatment. Methods: The nonrandomized, prospective, multisite research design involved two active treatment groups-a telehealth treatment cohort and an in-person treatment cohort. Treatment modality (telehealth or in person) during each encounter was compared overall and across two time periods (pre- and during the COVID-19 pandemic) between the telehealth cohort and the in-person cohort. Results: Overall, modality crossovers were relatively uncommon (6.3%). However, patients in the in-person treatment cohort were more than twice as likely to have an encounter through telehealth (8.5%) than patients in the telehealth treatment cohort were to have an in-person encounter (3.4%) even though they had the same average number of encounters. The occurrence of off-mode encounters was particularly influenced by the onset of the COVID-19 pandemic. Conclusions: In this multisite usual care study comparing telehealth and in-person behavioral health treatment, modality crossovers were more common in the in-person cohort than the telehealth cohort, especially during the COVID-19 pandemic. Because telehealth availability has increased, crossovers are likely to increase in patients receiving multiple encounters for behavioral or chronic conditions and their occurrence should be noted by both researchers and practitioners.

Provider-to-provider telehealth for sepsis patients in a cohort of rural emergency departments.

BACKGROUND: Telehealth has been proposed as one strategy to improve the quality of time-sensitive sepsis care in rural emergency departments (EDs). The purpose of this study was to measure the association between telehealth-supplemented ED (tele-ED) care, health care costs, and clinical outcomes among patients with sepsis in rural EDs. METHODS: Cohort study using Medicare fee-for-service claims data for beneficiaries treated for sepsis in rural EDs between February 1, 2017, and September 30, 2019. Our primary hospital-level analysis used multivariable generalized estimating equations to measure the association between treatment in a tele-ED-capable hospital and 30-day total costs of care. In our supporting secondary analysis, we conducted a propensity-matched analysis of patients who used tele-ED with matched controls from non-tele-ED-capable hospitals. Our primary outcome was total health care payments among index hospitalized patients between the index ED visit and 30 days after hospital discharge, and our secondary outcomes included hospital mortality, hospital length of stay, 90-day mortality, 28-day hospital-free days, and 30-day inpatient readmissions. RESULTS: In our primary analysis, sepsis patients in tele-ED-capable hospitals had 6.7% higher (95% confidence interval [CI] 2.1%-11.5%) total health care costs compared to those in non-tele-ED-capable hospitals. In our propensity-matched patient-level analysis, total health care costs were 23% higher (95% CI 16.5%-30.4%) in tele-ED cases than matched non-tele-ED controls. Clinical outcomes were similar. CONCLUSIONS: Tele-ED capability in a mature rural tele-ED network was not associated with decreased health care costs or improved clinical outcomes. Future work is needed to reduce rural-urban sepsis care disparities and formalize systems of regionalized care.

Assessing the Acceptability of Less Invasive Caries Removal Techniques for treating Deep Carious Lesions: A Conjoint Survey among Dentists Practicing in a Midwestern American State.

This study identified factors that influence dentists' decisions regarding less invasive caries removal techniques such as stepwise removal (SW) and selective removal (SE) using a marketing research technique, conjoint analysis. A survey was sent to 1,434 dentists practicing in Iowa. Dentists were randomly assigned to receive a questionnaire to rate the likelihood they would use either SW/SE in hypothetical clinical scenarios. The scenarios were carefully created by conjoint design and included three relevant attributes: depth of lesion, hardness of carious dentin, and patient age. Descriptive and conjoint analyses were performed to assess trade-offs between these attributes, using SPSS. The study revealed that depth of lesion was the most important factor in the dentists' decisions (49 importance value) when choosing a SW to treat a deep carious lesion, followed by hardness of carious dentin and patient age (21 importance value). For the SE group, depth of the lesion was also the predominant factor when selecting a treatment. The study also identified that a high proportion of dentists (24.9%) indicated they would never consider using SW or SE under any circumstances. Our survey showed that depth of lesion was the most important reason to select a less invasive caries removal method. The high proportion of dentists indicating they would never consider selective caries removal (SE) techniques suggests that these less invasive options are underutilized.

ComBat Harmonization of Myocardial Radiomic Features Sensitive to Cardiac MRI Acquisition Parameters.

Purpose: To investigate the effect of ComBat harmonization methods on the robustness of cardiac MRI-derived radiomic features to variations in imaging parameters. Materials and Methods: This Health Insurance Portability and Accountability Act-compliant retrospective study used a publicly available data set of 11 healthy controls (mean age, 33 years ± 16 [SD]; six men) and five patients (mean age, 52 years ± 16; four men). A single midventricular short-axis section was acquired with 3-T MRI using cine balanced steady-state free precision, T1-weighted, T2-weighted, T1 mapping, and T2 mapping imaging sequences. Each sequence was acquired using baseline parameters and after variations in flip angle, spatial resolution, section thickness, and parallel imaging. Image registration was performed for all sequences at a per-individual level. Manual myocardial contouring was performed, and 1652 radiomic features per sequence were extracted using baseline and variations in imaging parameters. Radiomic feature stability to change in imaging parameters was assessed using Cohen d sensitivity. The stability of radiomic features was assessed both without and after ComBat harmonization of radiomic features. Three ComBat methods were studied: parametric, nonparametric, and Gaussian mixture model (GMM). Results: For all sequences combined, 51.4% of features were robust to changes in imaging parameters when no ComBat method was applied. ComBat harmonization substantially increased the number of stable features to 95.1% (95% CI: 94.9, 95.3) when parametric ComBat was used and 90.9% (95% CI: 90.6, 91.2) when nonparametric ComBat was used. GMM combat resulted in only 52.6% stable features. Conclusion: ComBat harmonization improved the stability of radiomic features to changes in imaging parameters across all cardiac MRI sequences.Keywords: Cardiac MRI, Radiomics, ComBat, Harmonization Supplemental material is available for this article. © RSNA, 2023.

Telehealth and In-Person Behavioral Health Services in Rural Communities Before and During the COVID-19 Pandemic: Multisite Prospective Cohort Study.

BACKGROUND: The COVID-19 pandemic triggered widespread adjustments across the US health care system. Telehealth use showed a substantial increase in mental health conditions and services due to acute public health emergency (PHE) behavioral health needs on top of long-standing gaps in access to behavioral health services. How health systems that were already providing behavioral telehealth services adjusted services and staffing during this period has not been well documented, particularly in rural areas with chronic shortages of behavioral health providers and services. OBJECTIVE: This study investigates patient and treatment characteristic changes from before the COVID-19 PHE to during the PHE within both telehealth and in-person behavioral health services provided in 95 rural communities across the United States. METHODS: We used a nonrandomized, prospective, multisite research design involving 2 active treatment groups. The telehealth cohort included all patients who initiated telehealth treatment regimens during the data collection period. A comparison group included a cohort of patients who initiated in-person treatment regimen. Patient enrollment occurred on a rolling basis, and data collection was extended for 3 months after treatment initiation for each patient. Chi-square tests compared changes from pre-PHE to PHE time periods within telehealth and in-person treatment cohorts. The dependent measures included patient diagnosis, clinicians providing treatment services, and type of treatment services provided at each encounter. The 4780 patients in the telehealth cohort and the 6457 patients in the in-person cohort had an average of 3.5 encounters during the 3-month follow-up period. RESULTS: The encounters involving anxiety, dissociative, and stress-related disorders in the telehealth cohort increased from 30% (698/2352) in the pre-PHE period to 35% (4632/12,853) in the PHE period (P<.001), and encounters involving substance use disorders in the in-person cohort increased from 11% (468/4249) in the pre-PHE period to 18% (3048/17,047) in the PHE period (P<.001). The encounters involving treatment service codes for alcohol, drug, and medication-assisted therapy in the telehealth cohort increased from 1% (22/2352) in the pre-PHE period to 11% (1470/13,387) in the PHE period (P<.001); likewise, encounters for this type of service in the in-person cohort increased from 0% (0/4249) in the pre-PHE period to 16% (2687/17,047) in the PHE period (P<.001). From the pre-PHE to the PHE period, encounters involving 60-minute psychotherapy in the telehealth cohort increased from 8% (190/2352) to 14% (1802/13,387; P<.001), while encounters involving group therapy in the in-person cohort decreased from 12% (502/4249) to 4% (739/17,047; P<.001). CONCLUSIONS: The COVID-19 pandemic challenged health service providers, and they adjusted the way both telehealth and in-person behavioral therapy services were delivered. Looking forward, future research is needed to explicate the interaction of patient, provider, setting, and intervention factors that influenced the patterns observed as a result of the COVID-19 pandemic.

Impact of a switch to immediate release on the patient viewing of diagnostic test results in an online portal at an academic medical center.

Patient portals allow patients to access their personal health information. The 21st Century Cures Act in the United States sought to eliminate 'information blocking', requiring timely release upon request of electronic health information including diagnostic test results. Some health systems, including the one in the present study, chose a systematic switch to immediate release of all or nearly all diagnostic test results to patient portals as part of compliance with the Cures Act. Our primary objective was to study changes in the time to view test results by patients before and after implementation of Cures Act-related changes. This retrospective pre-post study included data from two 10-month time periods before and after implementation of Cures Act-related changes at an academic medical center. The study included all patients (adult and pediatric) with diagnostic testing (laboratory and imaging) performed in the outpatient, inpatient, or emergency department settings. Between February 9, 2020 and December 9, 2021, there was a total of 3 809 397 diagnostic tests from 204 605 unique patients (3 320 423 tests for adult patients; 488 974 for pediatric patients). Overall, 56.5% (115 627) of patients were female, 84.1% (172 048) white, and 96.5% (197 517) preferred English as primary language. The odds of viewing test results within 1 and 30 days after portal release increased monthly throughout both time periods before and after the Cures Act for all patients. The rate of increase was significantly higher after implementation only in the subgroup of tests belonging to adult patients with active MyChart accounts. Immediate release shifted a higher proportion of result/report release to weekends (3.2% pre-Cures vs 15.3% post-Cures), although patient viewing patterns by day of week and time of day were similar before and after immediate release changes. The switch to immediate release of diagnostic test results to the patient portal resulted in a higher fraction of results viewed within 1 day across outpatient, inpatient, and emergency department settings.

Change in Drug Use Disorders Identification Test - Consumption (DUDIT-C) with Telehealth Treatment Compared to in-Person Treatment.

Background and Objectives: There is little published evidence for the effectiveness of telehealth in the treatment of substance use disorders. Methods: We analyzed Drug Use Disorders Identification Test - Consumption (DUDIT-C) scores from 360 patients who completed the measure as part of outpatient behavioral health treatment at rural clinic sites. Some patients received in-person care, while others received telehealth. Results were analyzed using multiple regression. Results: Mean DUDIT-C scores improved with treatment in both cohorts. Changes on the DUDIT-C were related to initial scores. Treatment modality (telehealth vs in-person) had no distinguishable association with outcomes. Discussion and Conclusions: Results showed no discernible difference in outcomes between telehealth and in-person cohorts. Telehealth was as effective as in-person care in the treatment of substance use disorders, and appears to be equivalent to in-person care in rural outpatient settings.

Effect of Chronic Disease Home Telehealth Monitoring in the Veterans Health Administration on Healthcare Utilization and Mortality.

BACKGROUND: The high prevalence of chronic diseases, including congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), and diabetes mellitus (DM), accounts for a large burden of cost and poor health outcomes in US hospitals, and home telehealth (HT) monitoring has been proposed to improve outcomes. OBJECTIVE: To measure the association between HT initiation and 12-month inpatient hospitalizations, emergency department (ED) visits, and mortality in veterans with CHF, COPD, or DM. DESIGN: Comparative effectiveness matched cohort study. PATIENTS: Veterans aged 65 years and older treated for CHF, COPD, or DM. MAIN MEASURES: We matched veterans initiating HT with veterans with similar demographics who did not use HT (1:3). Our outcome measures included a 12-month risk of inpatient hospitalization, ED visits, and all-cause mortality. KEY RESULTS: A total of 139,790 veterans with CHF, 65,966 with COPD, and 192,633 with DM were included in this study. In the year after HT initiation, the risk of hospitalization was not different in those with CHF (adjusted odds ratio [aOR] 1.01, 95% confidence interval [95%CI] 0.98-1.05) or DM (aOR 1.00, 95%CI 0.97-1.03), but it was higher in those with COPD (aOR 1.15, 95%CI 1.09-1.21). The risk of ED visits was higher among HT users with CHF (aOR 1.09, 95%CI 1.05-1.13), COPD (1.24, 95%CI 1.18-1.31), and DM (aOR 1.03, 95%CI 1.00-1.06). All-cause 12-month mortality was lower in those initiating HT monitoring with CHF (aOR 0.70, 95%CI 0.67-0.73) and DM (aOR 0.79, 95%CI 0.75-0.83), but higher in COPD (aOR 1.08, 95%CI 1.00-1.16). CONCLUSIONS: The initiation of HT was associated with increased ED visits, no change in hospitalizations, and lower all-cause mortality in patients with CHF or DM, while those with COPD had both higher healthcare utilization and all-cause mortality.

Comparison of Telehealth and In-Person Behavioral Health Services and Payment in a Large Rural Multisite Usual Care Study.

Background: Telehealth and in-person behavioral health services have previously shown equal effectiveness, but cost studies have largely been limited to travel savings for telehealth cohorts. The purpose of this analysis was to compare telehealth and in-person cohorts, who received behavioral health services in a large multisite study of usual care treatment approaches to examine relative value units (RVUs) and payment. Methods: We used current procedural terminology codes for each encounter to identify RVUs and Medicare payment rates. Mixed linear regression models compared telehealth and in-person cohorts on RVUs, per-encounter payment rates, and total-episode payment rates. Results: We found the behavioral health services provided by telehealth to have modest, but statistically significantly lower RVUs (i.e., less provider work in time spent and case complexity), per-encounter payments, and total episode payments than the in-person cohort. Despite Medicare rates discounting payments for nonphysician providers and the in-person cohort using clinical social workers more frequently, the services provided by the telehealth cohort still had lower payments. Thus, the differences observed are due to the in-person cohort receiving higher payment RVU services than the telehealth cohort, which was more likely to receive briefer therapy sessions and other less expensive services. Conclusions: Behavioral health services provided by telehealth used services with lower RVUs than behavioral health services provided in-person, on average, even after adjusting for patient demographics and diagnosis. Observed differences in Medicare payments resulted from the provider type and services used by the two cohorts; thus, costs and insurance reimbursements may vary for others.

Telehealth Services for Primary Care and Urgent Care to Support Rural Schools and Students.

Background: School-based health services, particularly those available to underserved and rural communities, remain in high demand. Advancements in telehealth services present clinical resources otherwise typically unavailable to students from rural communities. Methods: Data were collected during 4 semesters on all students receiving primary care or urgent care health services from 8 school-based telehealth programs delivering care to 40 schools across the United States. Results: Across the 4 semesters, 2,769 students received primary care telehealth and 2,238 students received urgent care telehealth. The primary care telehealth services were delivered by a primary care provider with a registered nurse also involved in half of the encounters. In contrast, the urgent care telehealth services were delivered almost exclusively by a registered nurse. Primary care telehealth delivered a variety of services including medication management, counseling, and sports physicals in addition to assessments and evaluations. Urgent care telehealth primarily involved an assessment. Both services returned most students to the classroom without the need for further follow-up, thus reducing or eliminating the need for seeking health care outside of the school setting. Notably, 67.7% of students seeking primary care telehealth services did not have a primary care provider outside of the school, clearly demonstrating the importance of these school-based services in increasing access to basic health care services for these students in rural and underserved communities. Conclusions: Telehealth provides a reliable solution and immediate access to care for students in need of health care, which, in turn, presents advantages to educators and parents.

An Observational Cohort Study of the Role of Level of Effort in Post-Acute Brain Injury Rehabilitation.

OBJECTIVE: To investigate the role of participant level of effort (LoE) on outcome in post-acute brain injury rehabilitation with the hypothesis that greater effort is associated with more positive outcomes. DESIGN: Observational cohort study. SETTING: Comprehensive integrated rehabilitation program for brain injury within a skilled nursing facility. PARTICIPANTS: Consecutive admissions with acquired brain injury (N=101). INTERVENTIONS: Individualized interdisciplinary brain injury rehabilitation; therapist rating of participant LoE with Acquired Brain Injury LoE Scale (ABI-LoES) during physical therapy, occupational therapy, and speech and language pathology sessions. MAIN OUTCOME MEASURES: Mayo-Portland Adaptability Inventory, fourth edition (MPAI-4); Supervision Rating Scale (SRS). RESULTS: Linear regression showed that discharge MPAI-4 Total T scores were significantly associated with mean ABI-LoES rating, admission MPAI-4 Total T scores, age at admission, and days from injury but not with standard deviation of ABI-LoES rating, sex, injury type, length of stay, or treatment before or during the COVID-19 pandemic. Discharge SRS scores were significantly associated with mean ABI-LoES rating, admission SRS scores, and age. A 1-unit increase in mean ABI-LoES rating was associated with 5.1-unit lower discharge MPAI-4 Total T scores and 1.5 lower discharge SRS scores, after controlling for other variables. Logistic regression showed that the odds of achieving a minimal clinically important difference on the MPAI-4 were 8.34 times higher with each 1-unit increase in mean ABI-LoES rating after controlling for other variables. Admission MPAI-4 was negatively associated with mean ABI-LoES rating (ß=-0.07, t=-8.85, P<.0001). CONCLUSIONS: After controlling for nonmodifiable variables, average ABI-LoES rating is positively associated with outcome. Initial level of disability is negatively associated with mean ABI-LoES rating.

Comparison of in-person vs. telebehavioral health outcomes from rural populations across America.

BACKGROUND: This study investigates outcomes from two federal grant programs: the Evidence-Based Tele-Behavioral Health Network Program (EB THNP) funded from September 2018 to August 2021 and the Substance Abuse Treatment Telehealth Network Grant Program (SAT TNGP) funded from September 2017 to August 2020. As part of the health services implementation program, the aims of this study were to evaluate outcomes in patient symptoms of depression and anxiety across the programs' 17 grantees and 95 associated sites, with each grantee having data from telehealth patients and from an in-person comparison group. METHODS: The research design is a prospective multi-site observational study. Each grantee provided data on a nonrandomized convenience sample of telehealth patients and an in-person comparison group from sites with similar rural characteristics and during the same time period. Patient characteristics were collected at treatment initiation, and clinical outcome measures were collected at baseline and monthly. The validated clinical outcome measure instruments included the Patient Health Questionnaire-9 (PHQ-9) for depression symptoms and the Generalized Anxiety Disorder-7 (GAD-7) scale for anxiety-related symptoms. Linear mixed models, with grantee as the random effect, were used to determine the association of behavioral health delivery (telehealth versus in-person) on the one-month change in PHQ-9 and GAD-7 while adjusting for covariates. RESULTS: Across a total of 1,514 patients, one-month change scores were improved indicating that PHQ-9 and GAD-7 scores decreased from baseline to the one-month follow-up at similar rates in both the in-person and telehealth groups. Reduction in scores averaged 2.8 for the telehealth treatment group and 2.9 for the in-person treatment group in the PHQ-9 subsample and 2.0 for the telehealth treatment group and 2.4 for the in-person treatment group in the GAD-7 subsample. There was no statistically significant association between the modality of care (telehealth treatment group versus in-person comparison group) and the one-month change scores for either PHQ-9 or GAD-7. Individuals with higher baseline scores demonstrated the greatest decrease in scores for both measures. Upon adjusting for baseline scores and grantee program, patient demographics were not found to be significantly associated with change in anxiety or depression symptoms. CONCLUSION: In our very large pragmatic study comparing behavioral health treatment delivered to a population of patients in rural, underserved communities, we found no clinical or statistical differences in improvements in depression or anxiety symptoms as measured by the PHQ-9 and GAD-7 between patients treated via telehealth or in-person.

An economic and health outcome evaluation of telehealth in rural sepsis care: a comparative effectiveness study.

Aim: Sepsis is a top contributor to in-hospital mortality and, healthcare expenditures and telehealth have been shown to improve short-term sepsis care in rural hospitals. This study will evaluate the effect of provider-to-provider video telehealth in rural emergency departments (EDs) on healthcare costs and long-term outcomes for sepsis patients. Materials & methods: We will use Medicare administrative claims to compare total healthcare expenditures, mortality, length-of-stay, readmissions, and category-specific costs between telehealth-subscribing and control hospitals. Results: The results of this work will demonstrate the extent to which telehealth use is associated with total healthcare expenditures for sepsis care. Conclusion: These findings will be important to inform future policy initiatives to improve sepsis care in rural EDs. Clinical Trial Registration: NCT05072145 (ClinicalTrials.gov).

Sepsis is a severe condition that results from infection. In addition to costly care, sepsis is a leading cause of death and disability. When comparing outcomes, those treated for sepsis in lower volume emergency departments fare worse and rural emergency departments often have lower patient volumes. While telehealth has been shown to improve sepsis care, the effect of telehealth on costs and long-term outcomes for patients is unclear. This study will use Medicare claims data to compare outcomes for people with sepsis in rural emergency departments who had video telehealth used with those who did not have video telehealth used, with the goal of measuring how telehealth affects healthcare costs, hospital readmissions and deaths after hospital discharge.

Describing Changes in Telebehavioral Health Utilization and Services Delivery in Rural School Settings in Pre- and Early Stages of the COVID-19 Public Health Emergency.

BACKGROUND: Receiving treatment for behavioral health disorders remains problematic due to profound provider shortages. Telebehavioral health services are effective for providing quality care, but research literature on these services in schools is limited. METHODS: Data were collected during Fall 2019 and Spring 2020 semesters on all students receiving telebehavioral health services from 15 school-based telehealth programs across the U.S. RESULTS: From Fall 2019 to Spring 2020, 62 schools providing services during both periods increased the number of students served from 396 to 745, increased the average number of encounters per student from 2.4 to 4.1, increased the percentage of encounters delivered by clinical social workers, mental health counselors, and clinical psychologists (all p < .001), and increased the use of individual counseling, family counseling, and group counseling (all p < .001). Schools that initiated the service in Spring 2020 (n = 25) averaged 6.5 encounters for the 301 students receiving services, delivered mostly by clinical social workers or professional counselors, using individual counseling. CONCLUSION: Overall, data indicate programs significantly increased both behavioral services provided to their ongoing schools and increased the number of schools served. Undoubtedly telebehavioral health care delivery provided a swift and necessary response to the challenges posed by the growing pandemic threat.

Association between perinatal depression and risk of attention deficit hyperactivity disorder among children: a retrospective cohort study.

PURPOSE: Perinatal depression has previously been identified as a risk factor for attention deficit hyperactivity disorder (ADHD) in the offspring. Population-based studies utilizing diagnosis data are needed to better understand the relationship between these two variables. The objective of this study was to examine the association between perinatal depression and the risk of ADHD among children born during a 5 or-more-year follow-up period. METHODS: The sample was drawn from a population-based cohort of privately insured mother-child pairs within the state of Iowa. Hazard ratios for risk of ADHD by exposure to perinatal depression were estimated using adjusted Cox proportional-hazard models. RESULTS: Among the 5,635 mother-child pairs, 484 mothers were diagnosed with depression during the perinatal period, and 269 children were diagnosed with ADHD. After adjustment for confounders, children born to mothers with perinatal depression were over three times more likely to be diagnosed with ADHD (HR 3.16 (95% CI 2.35, 4.23)). CONCLUSIONS: Children born to mothers with perinatal depression were found to be at increased risk of ADHD. This finding suggests that ADHD and its adverse sequelae could be mitigated by increasing maternal depression intervention efforts as well as ADHD screening and treatment efforts targeted to this vulnerable population.

Relationships between health literacy, having a cancer care coordinator, and long-term health-related quality of life among cancer survivors.

PURPOSE: Care coordination is a strategy to reduce healthcare navigation challenges for cancer patients. The objectives of this study were to assess the association between having a cancer care coordinator (CCC) and long-term health-related quality of life (HRQoL), and to evaluate whether this association differed by level of health literacy. METHODS: A population-based sample of survivors diagnosed with breast, prostate, or colorectal cancer in 2015 from the Iowa Cancer Registry participated in an online survey conducted in 2017-2018 (N = 368). Chi-squared tests and logistic regression were used to model the association between patient characteristics and having a cancer care coordinator. Linear regression was used to model the association between patient perception of having a cancer care coordinator and post-treatment physical or mental HRQoL by differing levels of health literacy while controlling for sociodemographic and clinical factors. RESULTS: Most survivors (81%) reported having one healthcare professional who coordinated their cancer care. Overall, patient perception of having a coordinator was not significantly associated with physical HRQoL (p = 0.118). However, participants with low health literacy (21%) who had a coordinator had significantly higher physical HRQoL scores compared to those who did not (adjusted mean difference 5.2, p = 0.010), while not so for medium (29%) or high (51%) health literacy (p = 0.227, and p = 0.850, respectively; test for interaction p = 0.001). Mental HRQoL was not associated with having a coordinator in our analyses. CONCLUSION: Findings suggest that care coordinators improved post-treatment physical HRQoL, particularly for participants with low health literacy. Care coordinators may be beneficial to the most vulnerable patients struggling to navigate the complex healthcare system during cancer treatment. Future research should focus on the mechanisms by which care coordination may affect post-treatment HRQoL.

Patterns and characteristics of patients' selection of cancer surgeons.

OBJECTIVE: Despite evidence of volume-outcome relationships for cancer surgery, treatment at low-volume hospitals remains common. Our objective was to evaluate whether individuals actively involved in selecting their cancer surgeon were more likely to go to hospitals recognized for quality cancer care. METHODS: Individuals diagnosed with breast, prostate and colorectal cancer in 2015 completed online surveys in 2017-2018. Participants were categorized as "directed" to a surgeon (relied on referral) or "active" (sought additional information), and hospitals were categorized by NCI-designation, CoC accreditation, and academic affiliation. RESULTS: Of 299 participants, 42% were active. Individuals with breast cancer were more active (aOR = 2.46,95%CI:1.32-4.59). Active participants had nonsignificantly higher odds of surgery at NCI-designated facilities (aOR = 2.04,95%CI:0.95-4.38), or academic centers (aOR = 1.51,95%CI:0.86-2.64). CONCLUSIONS: While most participants were directed to their cancer surgeon, active participants tended to select NCI-designated/academic hospitals. Although centralization of cancer care would require altering referral patterns, decision-support resources may help patients make informed choices.