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.

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.

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.

Disseminating early interventions for disaster mental health response using the ECHO model.

Extension for Community Healthcare Outcomes (ECHO)-based telementoring was evaluated for disseminating early disaster interventions, Psychological First Aid (PFA) and Skills for Psychological Recovery (SPR), to school professionals throughout rural, disaster-affected communities further affected by COVID-19. PFA and SPR complemented their Multitiered System of Support: PFA complemented tier 1 (universal) and SPR tier 2 (targeted) prevention. We evaluated the outcomes of a pretraining webinar (164 participants, January 2021) and four-part PFA training (84 participants, June 2021) and SPR training (59 participants, July 2021) across five levels of Moore's continuing medical education evaluation framework: (1) participation, (2) satisfaction, (3) learning, (4) competence, and (5) performance, using pre-, post-, and 1-month follow-up surveys. Positive training outcomes were observed across all five levels, with high participation and satisfaction throughout, and high use at the 1-month follow-up. ECHO-based telementoring may successfully engage and train community providers in these underused early disaster response models. Recommendations regarding training format and using evaluation to improve training are provided.

Teletherapy Versus In-Person Psychotherapy for Depression: A Meta-Analysis of Randomized Controlled Trials.

Introduction: The recent surge in telehealth service delivery represents a promising development in the field's ability to address access gaps in health care across underserved populations. Telehealth also carries the potential to help reduce the societal burden of mental illnesses such as major depression, which often go untreated. There is now a sufficiently large corpus of randomized controlled trials to examine the comparative effectiveness of teletherapy and in-person services meta-analytically. Methods: We searched the PubMed, PsycINFO, and Cochrane Central Register of Controlled Trials (CENTRAL) databases for articles from January 1, 2000 to February 1, 2021 to identify randomized head-to-head trials of video-based versus in-person delivery of psychotherapy to reduce depressive symptoms. We conducted a random-effects meta-analysis to evaluate potential differences in efficacy rates. We calculated and meta-analyzed odds ratios to examine differential attrition rates between video and in-person conditions. Finally, we conducted subgroup analyses based on the primary treatment focus (depression or another condition) of each trial. Results: Primary study analyses yielded evidence that video-based psychotherapy is roughly comparable in efficacy with in-person psychotherapy for reducing depressive symptoms (g = 0.04, 95% confidence interval [CI = -0.12 to 0.20], p = 0.60, I2 = 5%). Likewise, attrition rates between the two conditions were not significantly different (odds ratio = 1.07, 95% CI = [0.78 to 1.49], p = 0.63, I2 = 25%). Finally, we did not observe significant subgroup differences in either efficacy (p = 0.38) or attrition (p = 0.94). Conclusions: The present findings suggest that video-based teletherapy may be a feasible and effective alternative to in-person services for reducing depressive symptoms. Continued research on the effectiveness of telehealth in clinically depressed samples, and further elucidation of the access barriers entailed by each delivery modality, can help the field better determine which patients will derive the greatest benefit from each mode of intervention.

Integrating quality improvement into the ECHO model to improve care for children and youth with epilepsy.

OBJECTIVE: Project ECHO (Extension for Community Healthcare Outcomes), a telementoring program, utilizes lectures, case-based learning, and an "all teach-all learn" approach to increase primary care provider (PCP) knowledge/confidence in managing chronic health conditions. The American Academy of Pediatrics (AAP) Epilepsy and Comorbidities ECHO incorporated quality improvement (QI) methodology to create meaningful practice change, while increasing PCP knowledge/self-efficacy in epilepsy management using the ECHO model. METHODS: Monthly ECHO sessions (May 2018 to December 2018) included lectures, case presentations/discussion, and QI review. Pediatric practices were recruited through the AAP. Practices engaged in ECHO sessions and improvement activities including monthly Plan-Do-Study-Act cycles, team huddles, chart reviews, and QI coaching calls to facilitate practice change. They were provided resource toolkits with documentation templates, safety handouts, and medication side effects sheets. QI measures were selected from the American Academy of Neurology Measurement Set for Epilepsy. The AAP Quality Improvement Data Aggregator was used for data entry, run chart development, and tracking outcomes. Participants completed retrospective surveys to assess changes in knowledge and self-efficacy. RESULTS: Seven practices participated across five states. Average session attendance was 14 health professionals (range = 13-17). A total of 479 chart reviews demonstrated improvement in six of seven measures: health care transition (45.3%, P = .005), safety education (41.6%, P = .036), mental/behavioral health screening (32.2% P = .027), tertiary center referral (26.7%, not significant [n.s.]), antiseizure therapy side effects (23%, n.s.), and documenting seizure frequency (7.1%, n.s.); counseling for women of childbearing age decreased by 7.8%. SIGNIFICANCE: This project demonstrated that integrating QI into an ECHO model results in practice change and increases PCP knowledge/confidence/self-efficacy in managing epilepsy.

Intervention to reduce hypoglycemia fear in parents of young kids using video-based telehealth (REDCHiP).

OBJECTIVE: To evaluate the efficacy of a new video-based telehealth intervention to reduce hypoglycemia fear in parents of young children with type 1 diabetes. METHODS: We randomized 42 parents to either immediate treatment (reducing emotional distress for childhood hypoglycemia in parents, REDCHiP; n = 22) or a waitlist control (WAITLIST; n = 21) condition. REDCHiP parents completed a 10-session video-based telehealth intervention, while WAITLIST parents continued in usual care. After 14-weeks, WAITLIST parents completed the telehealth treatment. We examined for between group changes in parental hypoglycemia fear and parenting stress (n = 18 per condition), 3-month maintenance of treatment effects for parents randomized to REDCHiP (n = 15), and pre-post changes for the entire sample (n = 36). RESULTS: Mostly mothers participated (97.6%). They reported a mean age of 35.2 ± 5.0 years at pre-treatment. Children were 4.4 ± 1.4 years old and 59.5% boys. Between group comparisons showed a significant reduction in hypoglycemia fear (P = .04) and a trend toward reduction in parenting stress-frequency (P = .092) for REDCHiP parents compared to WAITLIST parents. After the three-month maintenance period, REDCHiP parents reported significant reductions in hypoglycemia fear, parenting stress-frequency, and parenting stress-difficulty (P's < .01) compared to pre-treatment. When all parents received the telehealth treatment, we also observed significant reductions in hypoglycemia fear, parenting stress-frequency, and parenting stress-difficulty (P's < .001), and sensitivity analyses revealed a significant reduction in child glycated hemoglobin for children who entered the treatment above target (P < .05). CONCLUSION: Our new video-based telehealth intervention appears to reduce hypoglycemia fear and parenting stress and may help parents of very young children with T1D to better achieve optimal child glycemic control when children are above target.

Depression as a predictor of hypoglycemia worry in parents of youth with recent-onset type 1 diabetes.

BACKGROUND: During the recent-onset period of type 1 diabetes (T1D), parents may be at increased risk for depression, stress, and hypoglycemia fear; however, current studies have not examined the parental psychological experience and anxiety from hypoglycemia fear (ie, hypoglycemia worry) over time. This study examined the trajectory of parental hypoglycemia worry (Hypoglycemia Fear Survey-Worry [HFS-Worry]) in families of children with recent-onset T1D and the effects of baseline parental depression on parents' trajectory of HFS-Worry. METHODS: We enrolled 128 families of children ages 5- to 9-years-old with recent onset T1D in this study. At baseline, 125 parents completed measures of depression and HFS-Worry, followed by 111 at 6-month follow-up, 113 at 12-month follow-up, and 107 at 18-month follow-up. We used multilevel modeling to examine the 18-month trajectories of HFS-Worry and to examine if parental depression modified these trajectories. RESULTS: We found that parents HFS-Worry scores increased over time for parents with and without elevated depressive symptoms. Parents' baseline report of depression appeared to modify their trajectory of HFS-Worry over time such that parents with elevated depressive symptoms reported significantly higher levels of worry when compared to parents without depressive symptoms across the 18-month study period (P < .05). CONCLUSIONS: Parents of children with recent-onset T1D, who reported elevated depressive symptoms, reported higher HFS-Worry across the study period. Our findings suggest clinics should consider screening for parent depression and hypoglycemia worry following a T1D diagnosis. Integrating psychological screening for parents could help clinics to provide relevant treatment resources and tailor diabetes education for parents. Trial Registration NCT03698708.

Identification of Depressive Signs in Patients and Their Family Members During iPad-based Audiovisual Sessions.

Home parenteral nutrition requires a daily life-sustaining intravenous infusion over 12 hours. The daily intravenous infusion home care procedures are stringent, time-consuming tasks for patients and family caregivers who often experience depression. The purposes of this study were (1) to assess home parenteral nutrition patients and caregivers for depression and (2) to assess whether depressive signs can be seen during audiovisual discussion sessions using an Apple iPad Mini. In a clinical trial (N = 126), a subsample of 21 participants (16.7%) had depressive symptoms. Of those with depression, 13 participants were home parenteral nutrition patients and eight were family caregivers; ages ranged from 20 to 79 years (with 48.9 [standard deviation, 17.37] years); 76.2% were female. Individual assessments by the mental health nurse found factors related to depressive symptoms across all 21 participants. A different nurse observed participants for signs of depression when viewing the videotapes of the discussion sessions on audiovisual technology. Conclusions are that depression questionnaires, individual assessment, and observation using audiovisual technology can identify depressive symptoms. Considering the growing provision of healthcare at a distance, via technology, recommendations are to observe and assess for known signs and symptoms of depression during all audiovisual interactions.

A Collaborative Step-Wise Process to Implementing an Innovative Clinic for Adult Survivors of Childhood Cancer.

With a 5 year survival rate of approximately 80%, there is an increasing number of childhood cancer survivors in the United States. Childhood cancer survivors are at an increased risk for physical and psychosocial health problems many years after treatment. Long-term follow-up care should include education, development of individualized follow up plans and screening for health problems in accordance with the Children's Oncology Group survivor guidelines. Due to survivor, provider and healthcare system related barriers, adult survivors of childhood cancer (ASCC) infrequently are receiving care in accordance to these guidelines. In this paper we describe the stepwise process and collaboration between a children's hospital and an adult academic medical center that was implemented to develop the Survivorship Transition Clinic and address the needs of ASCC in our region. In the clinic model that we designed ASCC follow-up with a primary care physician in the adult setting who is knowledgeable about late effects of childhood cancer treatment and are provided transition support and education by a transition nurse navigator.

Using videoconferencing to provide psychological services to rural children and adolescents: a review and case example.

Children and adolescents living in rural areas have difficulty accessing psychological services due to a lack of psychologists and other behavioral health professionals, especially those with expertise in treating youth. Telepsychology helps bridge this access gap. This article extends evidence supporting videoconferencing for psychological assessment and treatment in adults to support telepsychological treatment for youth. In addition, the basic components needed to begin and sustain a telepsychological practice are explored. Finally, a case example of an adolescent presenting with depression and disordered eating illustrates the practice of, and ethical standards needed for, telepsychology. Future technologies and applications around telepsychology are also discussed.

Health behavior change in pregnant women: a two-phase study.

BACKGROUND: Maternal health behaviors during pregnancy/infancy can have a significant impact on maternal and child health. Many women engage in health risk behaviors during pregnancy. Multiple health behavior change (MHBC) interventions provide support to change health behaviors, but further information is needed on potential targets for such an intervention, as well as on the feasibility of technology use and e-health with this population. MATERIALS AND METHODS: Two studies were completed as part of this project. First, a survey to examine views regarding health behaviors, desires to change health behaviors, and use of technology was completed by 68 pregnant women presenting for routine care. Based on survey findings, a brief MHBC e-health educational intervention related to breastfeeding, healthy nutrition/lifestyle, and stress management, using iPad(®) (Apple, Cupertino, CA) and text-messaging media, was then developed and piloted in the home with five pregnant women. RESULTS: In the survey, the majority of participants reported interest in receiving help to improve health behaviors, including losing weight or eating a healthier diet, breastfeeding, smoking cessation, and help with depression. The majority of women reported access to a computer with Internet, a phone, and frequent use of text messaging. In the second phase, results suggest that the home-based intervention was feasible and that the technology was convenient and user-friendly. CONCLUSIONS: Pregnant women are interested in improving health behaviors and found a brief technology-based e-health intervention feasible, convenient, and user-friendly. In-home technology appears to be a feasible and convenient approach to addressing the multiple health behavior change needs of pregnant women.

A lexicon of assessment and outcome measures for telemental health.

BACKGROUND: The purpose of this document is to provide initial recommendations to telemental health (TMH) professionals for the selection of assessment and outcome measures that best reflect the impacts of mental health treatments delivered via live interactive videoconferencing. MATERIALS AND METHODS: The guidance provided here was created through an expert consensus process and is in the form of a lexicon focused on identified key TMH outcomes. RESULTS: Each lexical item is elucidated by a definition, recommendations for assessment/measurement, and additional commentary on important considerations. The lexicon is not intended as a current literature review of the field, but rather as a resource to foster increased dialogue, critical analysis, and the development of the science of TMH assessment and evaluation. The intent of this lexicon is to better unify the TMH field by providing a resource to researchers, program managers, funders, regulators and others for assessing outcomes. CONCLUSIONS: This document provides overall context for the key aspects of the lexicon.

Clinician commentary on addressing suicidality safety risk in students through a hospital-school-community telepartnership program.

Comments on the article by Shaidullah, et al. (see record 2024-13778-001). Shahidullah and team describe the utilization of the hospital-school-community telepartnership (HSCT), a telehealth program aimed to increase rapid crisis response and interagency care coordination for students with suicidality safety risk. The HSCT team followed both crisis mental health (SAFE-T) and telebehavioral health best practices, with a licensed teleclinician conducting virtual crisis evaluation at the student's school, often on the same day. The HSCT maximized telebehavioral health by simultaneously supporting and consulting with school staff who often serve as de facto crisis mental health with little training or supported time. This collegial cross-system approach resonates with the current author team's experience of the importance of training, including opportunities to validate the supports that school personnel have provided as well as problem solving together to support students in crisis. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Community Health Workers: Bridge to Pediatric Mental Health Equity.

We currently face a national crisis1 in youth mental health and well-being and significant child behavioral health inequities. There is a growing recognition among health care institutions, policymakers, researchers, and communities that major health problems of our time, including this crisis, must be confronted by addressing the underlying "causes of the causes,"2 or social determinants of health. Social determinants of health3 are defined by the US Centers for Disease Control and Prevention as the conditions in which people live, learn, work, play, worship, and age and highlight the role that power and privilege occupy in shaping societal access to these resources. Social determinants of mental health (SDoMH) encompass the same conditions of social determinants of health, with the addition of the stigma often associated with mental health and substance use disorders. SDoMH focus on the social/environmental factors that place certain groups at increased risk for mental health concerns and worsening outcomes for individuals who already have mental health concerns.4 Addressing SDoMH is a key strategy to toward Healthy People 2030 goals and "the attainment of the highest level of health for all people."5.

Effectiveness of a paediatric weight management intervention for rural youth (iAmHealthy): Primary outcomes of a cluster randomised control trial.

BACKGROUND: Youth in rural areas are disproportionally affected by obesity. Given the unique barriers rural populations face, tailoring and increasing access to obesity interventions is necessary. OBJECTIVE: This paper evaluates the effectiveness of iAmHealthy, a family-based paediatric obesity intervention delivered to rural children, compared to a Newsletter Control. METHODS: Participating schools (n = 18) were randomly assigned to iAmHealthy or Newsletter Control. iAmHealthy consists of individual health coaching and group sessions delivered via televideo to a participant's home. The child and parent's body mass index (BMI), child physical activity and child dietary intake were assessed at baseline, post-treatment (8 months) and follow-up (20 months). Multilevel modeling estimated the effect of treatment at both time points. RESULTS: Parent and child dyads were recruited (n = 148) and randomised to iAmHealthy (n = 64) or the Control group (n = 84). The Control group had significant increases in child BMIz from baseline to follow-up. iAmHealthy youth had no significant changes in BMIz from baseline to post or follow-up. Child dietary intake, physical activity and parent BMI results are also discussed. CONCLUSIONS: This trial extends previous paediatric obesity work by simultaneously increasing convenience and dose of treatment. Results suggest iAmHealthy resulted in a change in BMIz trajectories and long-term health behaviour for youth.

Connecting Behavioral Health Specialists With Schools: Adapting a Telementoring Series During COVID-19.

To address the daunting behavioral and mental health needs of Kansas' rural and underserved communities, Telehealth ROCKS (Rural Outreach for the Children of Kansas) Schools project partnered with school-based health centers, school districts, and special education cooperatives to provide a range of telebehavioral health intervention services and teletraining. This project used the Project Extension for Community Healthcare Outcomes (ECHO) telementoring framework to connect specialty providers with school/community providers for web-based continuing education and case consultation to support students with special education needs. Our team created the Function Friday for Better Behavior ECHO series to address challenging behaviors in schools, based on the concept of functional behavior assessment and function-based treatment. Part of the ECHO series came into being after the onset of the COVID-19 pandemic. This article describes how our ECHO series provided an effective mechanism for supporting school and community providers during the pandemic, and participating educators utilized skills as they transitioned from onsite education to the virtual learning environment with students.

Recruitment and reach in a school-based pediatric obesity intervention trial in rural areas.

Introduction: The purpose of this study is to evaluate two recruitment strategies on schools and participant participation rates and representativeness (reach) within a pediatric obesity treatment trial tailored for families who live in rural areas. Methods: Recruitment of schools was evaluated based on their progress toward enrolling participants. Recruitment and reach of participants were evaluated using (1) participation rates and (2) representativeness of demographics and weight status of participants compared to eligible participants (who did not consent and enroll) and all students (regardless of eligibility). School recruitment, as well as participant recruitment and reach, were evaluated across recruitment methods comparing opt-in (i.e., caregivers agreed to allow their child to be screened for eligibility) vs. screen-first (i.e., all children screened for eligibility). Results: Of the 395 schools contacted, 34 schools (8.6%) expressed initial interest; of these, 27 (79%) proceeded to recruit participants, and 18 (53%) ultimately participated in the program. Of schools who initiated recruitment, 75% of schools using the opt-in method and 60% of schools using the screen-first method continued participation and were able to recruit a sufficient number of participants. The average participation rate (number of enrolled individuals divided by those who were eligible) from all 18 schools was 21.6%. This percentage was higher in schools using the screen-first method (average of 29.7%) compared to schools using the opt-in method (13.5%). Study participants were representative of the student population based on sex (female), race (White), and eligibility for free and reduced-price lunch. Study participants had higher body mass index (BMI) metrics (BMI, BMIz, and BMI%) than eligible non-participants. Conclusions: Schools using the opt-in recruitment were more likely to enroll at least 5 families and administer the intervention. However, the participation rate was higher in screen-first schools. The overall study sample was representative of the school demographics.

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.