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.

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.

A consolidated model for telepsychology practice.

OBJECTIVE: In this paper, we identify available telepsychology guidelines, understand similarities and differences, and organize the contents into a model of core practice domains pertinent to a variety of applications of telepsychology practice. METHOD: A scoping review of current telepsychology guidelines was conducted to identify, organize, and distill available telepsychology guidelines (Arksey & O'Malley, 2005, Int J Soc Res Methodol, 8, 19-32). RESULTS: We identified overlap among five sets of telepsychology guidelines currently available and presented a consolidated model including nine practice domains influenced by practice setting and modality. CONCLUSIONS: Telepsychology has the potential to address current issues in availability, accessibility, acceptability, anonymity, and affordability of mental health services but establishing or engaging in telepsychology practice has been daunting for many practitioners. Telepsychologists can disseminate applications of this model in different settings and with different modalities and this practice model can inform future development of competencies.

Rural mental health service utilization in a Texas telepsychology clinic.

OBJECTIVE: To determine if service utilization behaviors varied with the remoteness of clients served by a telepsychology clinic in a predominantly rural health professional shortage area (HPSA) in Texas. METHODS: Archival data from 290 low-income clients were analyzed to test associations between service utilization behaviors and clients' distance from the nearby access points where they traveled to receive counseling services from remotely located counselors. RESULTS: Distance to access points did not predict differences in service utilization behaviors. However, clients in rural counties traveled farther to receive services than clients in metropolitan areas. Some utilization behaviors varied by demographic variables and depressive symptom severity. CONCLUSIONS: A "hub and spoke" model of telehealth service delivery is an acceptable model for improving access to mental health care services in rural and underserved communities, even for clients who live relatively far from access points. Telehealth providers should consider geographic, socioeconomic, transportation, and health-related barriers to care experienced by clients when implementing services and policies.

Telemental health training and delivery in primary care: A case report of interdisciplinary treatment.

Telehealth can overcome access and availability barriers that often impede receiving needed mental health services. This case report describes an interdisciplinary approach to treatment for an individual with chronic physical health conditions and comorbid mental health concerns, which resulted in high utilization (and associated costs) of preventable emergency services. The report describes clinical case progression on anxiety symptoms and emergency service utilization while concurrently highlighting telehealth-specific practice implications, especially as they pertain to training settings.

Geographic disparities associated with travel to medical care and attendance in programs to prevent/manage chronic illness among middle-aged and older adults in Texas.

INTRODUCTION: Accessing care is challenging for adults with chronic conditions. The challenge may be intensified for individuals needing to travel long distances to receive medical care. Transportation difficulties are associated with poor medication adherence and delayed or missed care. This study investigated the relationship between those traveling greater distances for medical care and their utilization of programs to prevent and/or manage their health problems. It was hypothesized that those traveling longer distances for medical care attended greater chronic disease management programs. METHODS: Thirty six thousand households in nine counties of central Texas received an invitation letter to participate in a mailed health assessment survey in English or Spanish. A total of 5230 participants agreed to participate and returned the fully completed survey. To investigate distance traveled for medical services and participation in a chronic disease management program, the analyses were limited to 2108 adults aged ≥51 years with one or more chronic conditions who visited a healthcare professional at least once in the previous year. Other variables of interest included residential rurality, health status, and personal characteristics. The data were first analyzed using descriptive and bivariate analyses. Then, an ordinal logistic regression model was fitted to identify factors associated with longer distances traveled to medical services. Additionally, a binary logistic regression model was fitted to identify factors associated with attending a chronic disease self-management program. RESULTS: Among 2108 adults, rural participants (p<0.001), those with more chronic conditions (p<0.001), and those attending a chronic disease program (p=0.037) reported traveling further distances to medical services. Participants with limited activity (p<0.001), those from urban counties (p=0.017), and those who traveled further (p=0.030) were more likely to attend a chronic disease program. CONCLUSION: While further distances to healthcare providers was found to be a protective factor based on the utilization of community-based resources, rural residents were less likely to attend a program to better manage their chronic conditions, potentially choosing to use long distance travel to address urgent medical needs rather than focusing on prevention and management of their conditions. Important policy and programmatic efforts are needed to increase reach of chronic disease self-management programs and other community services and resources in rural areas and to reduce rural inequities.

Evaluation of a multi-site health services psychology training program for telehealth and integrated behavioral health.

Introduction: Training future providers in telehealth and integrated care models can improve access and outcomes, especially among rural and underserved populations. The (blinded) project implemented behavioral health training for health service psychology doctoral students with three partner organizations. Trainees received both experiential and didactic training in telehealth and integrated behavioral health. Telehealth was utilized for remote warm hand-offs, hybrid shared appointments, therapy sessions, coordination with providers, and supervision. Program elements included opportunities for consultations with experts in other disciplines, supportive mentorship, exposure to various parts of a healthcare system, and interactions with diverse clients. Methods: The (blinded) training program evaluated trainee outcomes using fourteen interviews and three focus groups. Interviews and focus groups examined aspects of the program that contributed to trainees' knowledge, skills, and attitudes. Results: Evaluation results revealed increased levels of trainee confidence, autonomy and independence. Training reportedly enabled improved ability to collaborate and communicate with other professions, increased flexibility and adaptability, and openness to others' ideas. Trainees reported the program's use of telehealth enhanced awareness of their own skills and team members' perspectives of technology in care delivery. Discussion: Descriptions of the three care models, lessons learned, and qualitative results about trainee outcomes can be translated into best practices for workforce development and enhance psychology trainees' self-awareness and ability to incorporate others' viewpoints about technology and treatment approaches into healthcare.

Traumatic Life Experience and Pain Sensitization: Meta-analysis of Laboratory Findings.

OBJECTIVES: Psychological trauma often co-occurs with pain. This relationship has been explored using laboratory pain measures; however, findings have been mixed. Previous studies have limited operationalization of trauma (eg, posttraumatic stress disorder) or pain (eg, pain thresholds), which may contribute to conflicting results. Further, prior reviews likely underrepresent trauma experiences among people who are not receiving clinical care, limiting generalizability. MATERIALS AND METHODS: We systematically reviewed the existing literature on the relationship between psychological trauma (eg, car accidents, sexual assault, childhood abuse, neglect) and laboratory pain (ie, quantitative sensory testing measures of pain threshold, intensity, summation, modulation), using inclusive criteria. The direction of the relationship between psychological trauma and pain sensitivity was evaluated, and moderation by purported pain mechanism (ie, pain detection, suprathreshold pain, central sensitization, inhibition) was explored. RESULTS: Analyses were conducted using 48 studies that provided 147 effect sizes. A multivariate random-effects model with robust variance estimation resulted in a small but statistically significant overall effect size of g=0.24 (P=0.0002), reflecting a positive association between psychological trauma and enhanced laboratory pain sensitivity. Upon examination of mechanistic moderators, this relationship appears driven by effects on pain detection (g=0.28, P=0.002) and central sensitization (g=0.22, P=0.04). While effect sizes were similar across all moderators, effects on suprathreshold pain and inhibition were not statistically significant. DISCUSSION: Findings demonstrate an overall pattern of trauma-related pain enhancement and point to central sensitization as a key underlying mechanism.

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.

Evaluating the Effects of Social Capital, Self-Stigma, and Social Identity in Predicting Behavioral Intentions of Agricultural Producers to Seek Mental Health Assistance.

Mental illness significantly impacts agricultural producers, whose occupation puts them at increased risk for compromised mental health and related disorders. Help-seeking intention, which can be mediated by variables such as social identity, social capital, and self-stigma, can lead to improved mental health outcomes. This cross-sectional study aimed to describe the intention of agricultural producers to seek mental health assistance and determine whether these three variables are associated with help-seeking intention. Researchers administered a cross-sectional survey of agricultural producers from two regions in 32 Texas counties. Researchers surveyed a sample of Texas agricultural producers (n = 429) to understand their social identity, social capital, and degree of self-stigma, and their intent to seek help for personal or emotional problems and for suicide ideation. Researchers identified a relationship between social identity and social capital, which indicated that social identity is moderately associated with greater levels of social capital. The multiple linear regression analyses confirmed that social capital and self-stigma are significant predictors of producers' help-seeking intention for both help-seeking types. These results signify the importance of efforts to increase social capital, increase mental health literacy and tailor training to address self-stigma and enhance positive help-seeking behavior among agricultural producers.

Sociodemographic factors and perceived patient-provider communication associated with healthcare avoidance among women with psychological distress.

Objective: To establish the extent to which psychological distress influences health avoidance behavior among women, controlling for patient provider communication and sociodemographic characteristics. Methods: Data from the 2019 Health Information National Trends Survey (HINTS 5, Cycle 3) was analyzed to obtain healthcare avoidance behavior among women aged 18 and older (n = 2788). Weighted descriptive, bivariate, and multivariable logistic regression models were conducted. Results: Approximately 649 women or 1 in 4 women (26.7% weighted prevalence; 95% Confidence Interval [CI] 0.23%-0.29%) avoided healthcare in the past 12 months. Non-Hispanic white (62.8%) and married (55.4%) women represented a higher proportion of the sample. Bivariate analysis revealed that the odds of reporting healthcare avoidance among women with mild, moderate, and severe psychological distress (Odds Ratio [OR]: 2.26, 95% CI: 1.45-3.53, p = 0.001; OR: 3.88, 95% CI: 2.29-6.56, p < 0.001; OR: 3.08, 95% CI: 1.81-5.23, p < 0.001) was significantly higher compared to those with none-minimal psychological distress. In the adjusted model, women with moderate and severe psychological distress (Adjusted OR [AOR]:3.15, 95% CI: 1.55-6.38, p = 0.002; AOR: 2.24, 95% CI: 1.10-4.92, p = 0.044) were more likely to report healthcare avoidance than those experiencing none-minimal psychological distress. Furthermore, increasing patient-provider communication score (AOR: 0.91, 95% CI: 0.87-0.96, p < 0.001) reduced the likelihood of healthcare avoidance. Among the sociodemographic variables assessed, being younger (18-49 years) and having less than a high school degree significantly increased the chances of avoiding healthcare. Conclusion: A high proportion of women with psychological distress avoid necessary healthcare. Patient-provider communication quality, increasing age, and being a high school student contribute to healthcare avoidance in women. Innovation: Strategies to improve health service utilization must address healthcare avoidance by developing effective health communication targeted at women with psychological distress.

The Changing Nature of Telehealth Use by Primary Care Physicians in the United States.

INTRODUCTION: Prior to the COVID-19 pandemic, telehealth utilization was growing slowly and steadily, although differentially across medical specialties in the United States. The pandemic dramatically expanded physician use of telehealth, but our understanding of how much telehealth use has changed in primary care in the United States, the correlates of physician telehealth uptake, and the frequency with which primary care physicians intend to use telehealth after the pandemic are unknown. This paper is designed to assess these important questions. METHODS: Using data from an original national survey of 625 primary care physicians conducted from May 14 to May 25, 2021, we investigate the frequency of physician telehealth use before and during the pandemic and intended use after the pandemic. We also assess the correlates of changes in telehealth use by physicians, comparing telehealth use before the pandemic to use during and after the pandemic. RESULTS: The proportion of primary care physicians using telehealth often, jumped from 5.3% (95% CI 3.5, 7.0) before the pandemic to 46.2% (95% CI 42.3, 50.2) during the pandemic. More importantly, over 70% of physicians intended to use telehealth at least occasionally after the pandemic compared to just 18.7% before, with younger physicians, physicians without telehealth training in medical school, and Asian physicians most likely to increase their telehealth use long-term. DISCUSSION: The COVID-19 pandemic has spurred expansion in telehealth use by primary care physicians that will continue to shape care delivery well beyond the pandemic. Policy change could be needed to facilitate this growth of telehealth long-term.

Physicians' interest in different strategies for supporting pain -management and opioid prescribing: A cross-sectional study.

OBJECTIVE: The purpose of this study was to explore physicians' attitudes toward different strategies for supporting pain management and opioid prescribing and to identify factors related to their attitudes toward the support strategies. Design/setting/participants/measures: This preliminary cross-sectional study collected and analyzed online survey responses from physicians in Texas and Minnesota (N = 69) between December 2017 and February 2018. Primary outcomes were physicians' interest in online continuing medical education (CME), mHealth patient monitoring system, and short, non-CME YouTube informational briefs about pain management and opioid prescribing. Multiple logistic regression models were used to examine the associations between physicians' characteristics, attitudes, training, experience, practice setting, and their interest in three different support strategies. RESULTS: About 51-58 percent of physicians indicated moderate-to-extreme interest in online CME (54 percent), mHealth monitoring (58 percent), and short, non-CME YouTube informational briefs (51 percent). Physicians, who practiced in a medium or large practice setting, were less likely to be interested in online CME or short, non-CME YouTube informational briefs. Physicians who prescribed a small number of Schedule II opioids were more likely to be interested in short, non-CME YouTube informational briefs and mHealth monitoring. CONCLUSIONS: Findings suggest that physicians may have different preferences in strategies for supporting their pain management and opioid prescribing practices. Future studies are needed to better understand the mechanisms underlying physicians' interest in different support strategies.

Training health service psychology students in an in-person and telehealth integrated behavioral health service delivery model in primary care.

Telehealth has become an integral part of integrated behavioral health (IBH) service delivery in light of the global pandemic. In order to accommodate the rapid changes in service delivery, integrated behavioral health settings have transformed to provide services via telehealth alongside in-person services. While traditionally believed to be an in-person model, this article demonstrates the potential for using telehealth technology to continue offering training and service delivery in an IBH setting in response to the COVID-19 pandemic and beyond. The purpose of this catalyst report is to describe an IBH service delivery and training model including creative adaptations to the model using telehealth and present an evaluation plan of health service psychology trainee experiences. A mixed-methods design will be used to capture student experiences and competency. Data methods will include interviews with participants (qualitative) and the Interprofessional Collaborative Competency Attainment Survey (quantitative). (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Use of technology to increase access to mental health services in a rural Texas community.

The Leon County Health Resource Commission sought to increase access to mental health services for their rural community. The commission formed a network of partners who collaborated to increase free transportation to mental health services outside the community and developed a telehealth-based counseling program through a counseling psychology training program. Learning opportunities emerged during the development and implementation of these activities for both the students and the community in how to successfully utilize and sustain this service. This article describes the telehealth counseling model, presents lessons learned in the process, and presents recommendations for others interested in utilizing similar strategies.

Incorporating telehealth into health service psychology training: A mixed-method study of student perspectives.

OBJECTIVE: Telehealth is increasingly recognized as an avenue for enhancing psychologists' capacities to meet the mental health needs of a diverse and underserved (due to barriers e.g., distance, transportation) public. The present study sought to inform training in telepsychology (i.e., telehealth delivery of psychological services) by using both quantitative and qualitative methods to explore the perspectives of doctoral students who have already been involved in such training. METHOD: A total of 19 predoctoral students from two universities, with at least some experience in telepsychology training, provided their perspectives on two complementary research questions: (1) How do students perceive their level of competence in various domains of telepsychology?; and (2) What are students' perspectives on the process of telepsychology competency development during their doctoral training? RESULTS: The results of our study provide early evidence that doctoral trainees are able to develop telepsychology competencies and suggest that a supportive, training-oriented environment and fit between telepsychology and existing programmatic areas of emphasis are likely key to success. CONCLUSIONS: Continued efforts to enhance training in providing telepsychology services should focus on how to best define, measure, and promote competency development in this emerging specialty area.

Rural Status, Suicide Ideation, and Telemental Health: Risk Assessment in a Clinical Sample.

OBJECTIVE: Individuals living in rural areas die by suicide at higher rates than those living in metropolitan areas. Telemental health interventions provide rural residing individuals with access to needed care. Identifying telemental health clients at risk for suicide is an important task for clinicians and policymakers. This study evaluated to what degree rural status and other demographic variables predicted suicide ideation in clients seeking services at a telemental health clinic. METHODS: Study participants included 457 low-income clients residing in the medically underserved, geographically diverse Brazos Valley region of Texas. Clients completed the patient health questionnaire during their initial counseling appointment, which assessed depression severity and suicide ideation in the 2 weeks prior to assessment. RESULTS: Suicide ideation was common among telemental health clients, with approximately 40% of clients in all demographic groups reporting some recent thoughts of suicide. Rates of suicide ideation did not significantly differ by geographic designation (ie, rural/metropolitan status), gender, or race/ethnicity. However, depression was a strong predictor of recent suicide ideation. CONCLUSIONS: Telemental health programs can effectively connect clinicians with rural residing clients who are otherwise isolated from health care services. However, clinicians working in high-need, historically underserved areas should be prepared to encounter a high prevalence of suicide ideation and depression. In these regions, clinical and diagnostic features may be better indicators of suicide ideation than demographic variables.