Behavioral Health Care Research Articles

Factors Influencing Childhood Influenza Vaccination: A Systematic Review.

Childhood influenza vaccination coverage remains low in lower/middle-income countries. This systematic review aims to identify influencing factors around childhood influenza vaccination. A systematic literature review was conducted and included empirical studies with original data that investigated factors influencing childhood influenza vaccination. We searched MEDLINE, Web of Science, EMBASE, CINAHL Plus, Global Health, PsycINFO, and two Chinese databases, China Knowledge Resource Integrated Database and Chongqing VIP, using a combination of the key terms 'childhood', 'influenza', 'vaccination', and related syntax for all peer-reviewed publications published before December 2019. Thirty studies were included in the analysis. Childhood influenza vaccination was positively associated with caregivers' knowledge of influenza vaccine, positive vaccine attitudes, self-efficacy, perceived susceptibility and severity of influenza, believing in the efficacy of influenza vaccine, the worry of getting sick, healthcare workers' recommendations, and previous influenza vaccination experiences. Barriers included the fear of safety and side effects of the vaccine, as well as poor access to vaccination service. To improve childhood influenza vaccine uptake, health education is necessary to address caregivers' lack of confidence on vaccine safety. Future studies are needed to investigate influencing factors around healthcare workers' vaccination recommendation behaviors and the impact of contextual factors on public vaccination behaviors.

Prioritizing Maternal Mental Health in Addressing Morbidity and Mortality.

The rate of maternal mortality in the United States is 2-fold to 3-fold greater than that in other high-income countries. While many national initiatives have been developed to combat maternal mortality, these efforts often fail to include mental illness. To highlight the underrecognized contribution of mental illness to maternal mortality, which is nearly double that of postpartum hemorrhage. A topic outline was developed to include challenges in measuring perinatal mental conditions and mortality rates; contributions of social determinants of health to mental conditions and mortality; perinatal psychiatric disorder characterization; mechanisms by which maternal mental illness increases mortality, specifically, suicide and addictive disorders; access limitations and care "deserts"; prenatal stress and its impact on reproductive outcomes; increasing clinician expertise through cross-disciplinary education; intervention sites and models; and asserting that mental health is fundamental to maternal health. Publications in the last 3 years were prioritized, particularly those relating to policy. References were selected through consensus. Sources were PubMed, Ovid, direct data published on government websites, and health policy sources such as the Policy Center for Maternal Mental Health. Priority was given to recent sources. Citations from 2022-2023 numbered 26; within the last 5 years, 14; and historical references, 15. Recommendations to address each topic area serve as concluding statements for each section. To mitigate the contributions of mental illness to the maternal mortality risk, a coordinated effort is required across professional and governmental organizations. Concrete programmatic and policy changes are needed to reduce perinatal stress and address trauma, standardize the collection of social determinant of health data among perinatal patients, increase access to reproductive psychiatry curricula among prescribers, reduce perinatal mental health and obstetrical deserts, institute paid parental leave, and support seamless integration of perinatal and behavioral health care. Moreover, instead of focusing on a relatively minor portion of the contributors to health that current medical practice targets, fortifying the social foundation strengthens the prospects for the health of families for our current and future generations.

Treatment interruption in hypertensive patients during the COVID-19 pandemic: An interrupted time series analysis using prescription data in Okayama, Japan.

The COVID-19 pandemic has impacted healthcare behaviors, leading to fewer pediatric visits in Japan and potentially fewer visits by adult patients. However, existing Japanese studies on treatment interruptions have generally relied on questionnaire-based methods. In this study, we assessed the impact of the pandemic on antihypertensive treatment interruption using real-world prescription data. We conducted an interrupted time series analysis using the National Health Insurance Database in Okayama Prefecture, Japan. Participants included individuals aged 40-69 years with at least one antihypertensive prescription between 2018 and 2020. Treatment interruption was defined as a 3-month or longer gap in prescriptions after medication depletion. We used segmented Poisson regression with models unadjusted and adjusted for seasonality and over-dispersion to assess monthly treatment interruptions before and after Japan's April 2020 emergency. During the study period, 23.0% of 55,431 participants experienced treatment interruptions. Cyclical fluctuations in interruptions were observed. The crude analysis indicated a 1.2-fold increase in treatment interruptions following the pandemic; however, the adjusted models showed no significant changes. Even among higher-risk groups, such as women, younger adults, and those with shorter prescriptions, no significant alterations were observed. We found no significant impact of the COVID-19 pandemic on antihypertensive treatment interruption in Okayama Prefecture. The less severe outbreak in the area or increased use of telemedicine and extended prescriptions may have contributed to treatment continuity. Further research is needed using a more stable and comprehensive database, broader regional data, and detailed prescription records to validate and extend our findings.

Low Levels of Lifetime Pap Test Receipt Among Vulnerable Guatemalans.

Low and middle-income countries, such as Guatemala, shoulder a disproportionate share of cervical cancer, a preventable disease in high income countries. Tangible obstacles, such as lack of access to health care, cultural differences, and insufficient infrastructure, and facilitators, such as being Ladino, married, and educated, have been identified in the literature related to cervical cancer prevention. The aim of this survey was to explore barriers and facilitators to cervical cancer prevention, comparing rural Indigenous and urban Ladino populations. We surveyed 139 women in two health clinics. Participants answered questions about demographic information, cervical cancer knowledge, and health care behaviors. We analyzed survey data with four bivariate models. Our results suggest vulnerable populations, such as rural Indigenous women who are single, illiterate, and lack education, face higher cervical cancer risk. Partnerships should be formed with health promotors and lay midwives to educate and encourage vulnerable populations to prevent cervical cancer.

Mobilizing faith-based COVID-19 health ambassadors to address COVID-19 health disparities among African American older adults in under-resourced communities: A hybrid, community-based participatory intervention.

The COVID-19 pandemic disproportionately affected older adults, particularly those with pre-existing chronic health conditions. To address the health disparity and challenges faced by under-resourced African American older adults in South Los Angeles during this period, we implemented a hybrid (virtual/in-person), pre-post, community-based participatory intervention research project utilizing a faith-based lay health advisor model (COVID-19 Health Ambassador Program (CHAP)). We recruited COVID-19 Health Ambassadors (CHAs) and African American older adults (participants) from faith-based organizations who partook in CHA-led meetings and follow-ups that educated and supported the participants. This paper seeks to evaluate this intervention's implementation using the Consolidated Framework for Implementation Research (CFIR) as a reporting tool with an emphasis on fidelity, challenges, and adaptations based on data collected via stakeholder interviews and surveys. CHAP was delivered to 152 participants by 19 CHAs from 17 faith-based organizations. CHAs assisted with chronic disease management, resolved medication-related challenges, encouraged COVID-19 vaccination, reduced psychological stress and addressed healthcare avoidance behaviors such as COVID-19 vaccine hesitancy among the participants. Challenges encountered include ensuring participant engagement and retention in the virtual format and addressing technological barriers for CHAs and participants. Adaptations made to better suit the needs of participants included providing communication tools and additional training to CHAs to improve their proficiency in using virtual platforms in addition to adapting scientific/educational materials to suit our participants' diverse cultural and linguistic needs. The community-centered hybrid approach in addition to our partnership with faith-based organizations and their respective COVID-19 health ambassadors proved to be essential in assisting underserved African American older adults manage chronic health conditions and address community-wide health disparities during the COVID-19 pandemic. Adaptability, cultural sensitivity, and teamwork are key to implementing health interventions especially in underserved populations.

Meaningful Engagement in Depression and Anxiety Collaborative Care: Associations With Systematic Case Review

BackgroundCollaborative Care (CC) is an evidence-based model of care for treating behavioral health conditions in primary care settings. The Collaborative Care (CC) team consists of a primary care provider (PCP), behavioral health care manager (CM), and a consultant psychiatrist who collaborate to create treatment plans. To date, there is limited data on factors associated with meaningful engagement in CC programs. ObjectiveTo identify the proportion of patients who were meaningfully engaged and to investigate the factors associated with meaningful engagement in a CC program. MethodsData was collected from a CC program implemented across 27 adult primary care clinics in a Midwestern, U.S. academic medical system. Logistic regression (n=5218) was used to estimate the odds of receiving meaningful engagement. ResultsData was collected from 6,437 individuals with 68% being female and a mean age of 45 years old (SD 17.6). Overall, 57% of patients were meaningfully engaged, however, this proportion differed based on demographic and clinical factors. Among modifiable clinical factors, systematic case reviews between the CM and psychiatrist (OR: 10.2, 95% CI: 8.6-12.1) and warm handoffs (OR: 1.3, 95% CI: 1.1-1.5) were associated with higher likelihood of receiving meaningful engagement. ConclusionsThe presence of systematic case reviews between the behavioral health care manager and the consultant psychiatrist was highly associated with meaningful engagement. When implementing such programs, high fidelity to the core principles including regularly scheduled systematic case reviews should be pursued.

Family Medicine Physician Readiness to Treat Behavioral Health Conditions: A Mixed Methods Study.

Behavioral and mental health conditions present significant challenges in the United States where access to care is limited. Family medicine physicians play a crucial role in addressing these challenges, often serving as frontline clinicians for behavioral and mental health conditions. This study examined the current behavioral and mental health system in a predominantly rural 10-county region in the Southeastern United States through gap analysis in addition to a survey of preparedness and barriers among family medicine physicians in the region. Gap analysis results indicated that (1) stigma and lack of accessible education about behavioral and mental health, (2) fragmented resources, (3) inaccessible care, and (4) workforce shortage and burnout were primary drivers of poor outcomes in the region. Survey results indicated that physicians feel prepared to treat anxiety and depression but feel less prepared to manage bipolar disorder, schizophrenia, and substance use disorders. Respondents disagreed that there are adequate local resources and referral options for patients with behavioral and mental health conditions. Lack of timely access, distance, cost/insurance status, were all cited by respondents as barriers to appropriate care. Findings underscore the importance of supporting family medicine physicians to enhance behavioral and mental healthcare outcomes. Behavioral health integration in primary care settings is a promising strategy to improve care accessibility and clinician preparedness. Bridging gaps in health care outcomes requires collaborative efforts, enhanced training, and policy advocacy within the family medicine community to ensure comprehensive and equitable behavioral and mental healthcare delivery.

Experiential Learning as a Path to Critical Consciousness in the Medical Curriculum: A Qualitative Study.

Clinical settings are increasingly focused on addressing patients' social needs, thus medical education must prepare future clinicians for this task. Critical consciousness, an awareness that puts health within a broader social, historical, and cultural context, could help shape students' understanding of patient social needs. Our paper explores how experiential learning through participation in a social care intervention deepened students' critical consciousness, or their understanding of the systems and structures that make it difficult for patients to meet their basic needs. We conducted one-on-one semistructured interviews with all 24 students who served as advocates for the intervention. Of the 24 advocates, 75% (n = 18) were first-year medical students, 17% (n = 4) were public health students, and 8% (n = 2) were social work students. Interviews were audiorecorded, transcribed verbatim, and analyzed using framework analysis. We identified themes informed by critical consciousness, including individual (assumptions and biases), interpersonal (communication and relationship), and structural (organization and power) factors. Within these categories, advocates expressed deeper self-awareness of personal biases (individual), the importance of interpersonal communication to build trust with caregivers (interpersonal), and the identification of the structural factors that influence health, such as housing conditions (structural). The advocates highlighted the importance of experiential learning to help them understand social determinants of health. By witnessing multiple patients experiencing social needs, advocates saw the cascading effects of social needs, the structures that make it difficult to meet basic needs, and the effect on health and healthcare behavior. Students engaged in the intervention demonstrated the development of critical consciousness. Although limited, our findings suggest that when students engage with patients around social needs, students can better understand the broader social context of patients' lives. Experiential learning through social care interventions may have the potential to influence critical consciousness development and shape the practice of future clinicians.

Primary Care-Based Housing Program Reduced Outpatient Visits; Patients Reported Mental And Physical Health Benefits.

Screening for housing instability has increased as health systems move toward value-based care, but evidence on how health care-based housing interventions affect patient outcomes comes mostly from interventions that address homelessness. In this mixed-methods evaluation of a primary care-based housing program in Boston, Massachusetts, for 1,139 patients with housing-related needs that extend beyond homelessness, we found associations between program participation and health care use. Patients enrolled in the program between October 2018 and March 2021 had 2.5 fewer primary care visits and 3.6 fewer outpatient visits per year compared with those who were not enrolled, including fewer social work, behavioral health, psychiatry, and urgent care visits. Patients in the program who obtained new housing reported mental and physical health benefits, and some expressed having stronger connections to their health care providers. Many patients attributed improvements in mental health to compassionate support provided by the program's housing advocates. Health care-based housing interventions should address the needs of patients facing imminent housing crises. Such interventions hold promise for redressing health inequities and restoring dignity to the connections between historically marginalized patient populations and health care institutions.

Previous mental health care and help-seeking experiences: Perspectives from sexual and gender minority survivors of near-fatal suicide attempts.

Sexual and gender minority (SGM) populations face heightened risk of suicide compared to their heterosexual and cisgender counterparts, and a previous suicide attempt is among the strongest predictors of suicide mortality. Despite this increased risk, limited research has explored mental health help-seeking behavior and previous mental health care experiences of SGM individuals among the highest risk for suicide-individuals with a recent, near-fatal suicide attempt. This study presents thematic analysis results of interviews with 22 SGM individuals who reported at least one near-fatal suicide attempt in the past 18 months. Identified themes were (a) factors that affect help-seeking for SGM individuals with a recent, near-fatal suicide attempt, including previous mental health care experiences, support systems, and structural barriers and facilitators; (b) hospitalization is not a one-size fits all solution; and (c) recommendations for improving care for this population. Findings demonstrate that anti-SGM stigma may magnify existing barriers to mental health care across all socioecological levels. Notably, participants cited a fear of loss of autonomy from inpatient hospitalization and previous discriminatory experiences when seeking mental health care as hampering help-seeking. Given increased risk for suicide mortality, this patient population is a necessary stakeholder in suicide prevention and intervention development and policy discussions affecting mental health care. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Prevention of risky sexual behavior in primary healthcare: a best practice implementation project.

Sexually transmitted infections are a public health problem affecting 45% of adolescents and young adults worldwide. The evidence suggests that primary care settings are uniquely positioned to provide an opportunity for these preventive interventions. The aim of this project is to improve nurses' interventions for preventing risky sexual behaviors in adolescents attending nursing consultations in a primary healthcare unit. An audit and feedback were conducted by the JBI Model and Implementation Framework. Five audit criteria representing best practice recommendations for preventing risky sexual behaviors in adolescents were used. Barriers to compliance with the best practices were identified, and strategies were adopted to overcome them. A follow-up audit was conducted using the same approach as the baseline audit. Compliance rates improved in four criteria from baseline audit to follow-up audit. Through auditing and feedback, evidence-based interventions were implemented to prevent sexual risk behavior in adolescents in primary care settings. Further best practice implementation projects should be conducted to improve adolescent health outcomes.

Evaluating the impact of work from home policies on Google search Trends related to ankle surgery during the COVID-19 pandemic.

The COVID-19 pandemic caused notable shifts in healthcare behavior, influenced by remote work policies. This study examines the impact of Work from Home (WFH) policies on public interest in ankle-related orthopaedic surgeries, utilizing Google search trends. Understanding these trends is crucial for healthcare providers, enabling them to adapt services and communication to evolving patient needs during challenging times. To comprehend variations in search volume and trends for ankle-related queries due to WFH policies during the COVID-19 pandemic. Ankle-related terms accessible to laypersons were analyzed using Google Trends data from March 2018 to March 2022 in the United States. Data were divided into pre-pandemic (March 2018-March 2020) and post-pandemic (March 2020-March 2022) periods. Weekly search interest data for 20 terms were analyzed using a Mann-Whitney U test. The study aimed to identify significant changes in search interest, providing insights into public information-seeking behavior concerning ankle surgeries. Among the 20 terms analyzed, 11 exhibited significant changes. Ankle arthritis and ankle bursitis showed increased interest, suggesting heightened concern during the pandemic. Conversely, post-pandemic interest decreased for terms 9 terms, including ankle pain and ankle tendonitis, indicating reduced worry. Moderate declines were noted for ankle gout, Achilles tendonitis, and heel bursitis, reflecting shifting patient priorities. Some terms, including ankle fracture and ankle arthroplasty, showed stable information-seeking behavior despite the pandemic. The study underscores the nuanced impact of WFH policies on public interest in ankle-related orthopaedic surgeries. Varied search trends highlight changing patient concerns. Healthcare providers can use these insights to tailor services effectively, meeting evolving patient needs and enhancing communication strategies.

The Behavior of Primary Healthcare Doctors Toward Antibiotic Prescriptions for Upper Respiratory Tract Infections.

Unnecessary prescription of antibiotics for patients with upper respiratory tract infections (URTIs) carries the potential risk to the development of bacterial resistance. This study aimed to investigate the behavior of primary healthcare (PHC) physicians toward an antibiotic prescription for URTI, Al-Madinah City, Saudi Arabia in 2021. A cross-sectional study was conducted at PHC centers in Al-Madinah City, Saudi Arabia. The study invited all physicians in the randomly selected 28 PHC centers to participate in the study. A master sheet adopted from a researcher done in the Asir region of Saudi Arabia about the pattern of prescription for URTIwas used and included data about socio-demographic characteristics and data about presenting symptoms and signs of URTIs, the clinical diagnosis, type of medication prescribed, and duration of treatment also, included data about the factors that press physicians to prescribe antibiotics and their response. The questionnairewas filled out and returned back by 140 physicians. The collected data were analyzed and tabulated using appropriate statistical tests. The mean age of the studied physicians was 34.4 ± 7.6 years (25-59 years). General practitioners and specialists were 66.4% and 33.6%, respectively. The prevalence of antibiotic prescriptions was 44.3%. The most prescribed antibiotics were amoxicillin (58.6%)and Augmentin(28.6%). Congested tonsils (87.1%), ear discharge (84.2%), and cervical lymphadenopathy (89.3%) were the most clinical factors that affected physicians' decisions to prescribe antibiotics for URTI. The non-clinical factors affecting physicians' decisions include patient request (52.8%) and press (28.5%), with no statistically significant difference detected between general practitioners and specialists. The study findings indicate the need to develop intervention programs targeting physicians as well as the general population to decrease inappropriate antibiotic prescriptions in primary care centers.

Effect of systematic oral nursing interventions on dental plaque control and oral health care behavior in patients with periodontal disease

Effect of systematic oral nursing interventions on dental plaque control and oral health care behavior in patients with periodontal disease

A Survey on the Knowledge, Attitudes, Behaviors and Influencing Factors of Caregivers for Newborns With COVID-19 in Chongqing, China.

This study aimed to investigate the healthcare knowledge,attitudes, and behaviors of primary caregivers of newborns with coronavirus disease 2019 (COVID-19) during the pandemic in Chongqing, China, and analyze the influencing factors. The study included primary caregivers of COVID-19 newborns hospitalized in our institution from December 2022 to January 2023.A questionnaire survey was initiated to assess the caregivers' health-care knowledge,attitudes, and behaviors for COVID-19 and the influencing factors. The data were analyzed statistically. A total of 195 caregivers were included, one for each infant with COVID-19. The questionnaire consisted of three dimensions. For the knowledge dimension, the top scoring items were wearing masks in public spaces (4.92 ± 0.087), strengthening hand hygiene (4.83 ± 0.164), and frequent ventilation in living environment (4.62 ± 0.331) in order; for the attitude dimension, the top three scoring items were wearing masks in public spaces (4.85 ± 0.353), strengthening hand washing and disinfection (4.72 ± 0.450), and regular ventilation (4.49 ± 0.501).For the behavior dimension, the top three were confidence in winning the challenge of the pandemic (4.71 ± 0.480), standardized wearing of masks in public spaces/confined spaces (4.68 ± 0.589), and high satisfaction with community epidemic prevention measures (4.67± 0.496). Among the influencing factors, fear of COVID-19 was the independent risk indicator for the caregivers' anxiety (OR =38.085, 95% CI =14.383-100.664)and fear of COVID-19 (OR =8.170, 95%CI =2.156-30.957) and fever (OR =10.213, 95% CI =1.972-52.892) were the independent risk indicators fordepression. The study shows a key link between caregiver knowledge, attitudes, behaviors, and neonatal COVID-19 infection, with a gap between knowledge, attitudes, and behaviors. Caregivers, especially those dealing with premature infants, worried about mother-to-child transmission and experienced multiple births, face significant psychological stress during this phase of the pandemic.

THE DETERMINANTS OF REPRODUCTIVE HEALTH CARE BEHAVIOR IN ADOLESCENT: A CROSS-SECTIONAL STUDY

Background: The quality of reproductive health during adolescence determines the quality of reproductive health in adulthood. The 2018 National Socioeconomic Survey found that 11% of adolescents were married before the age of 18, and 0.56% were married before the age of 15. Adolescent reproductive health issues continue to increase every year. Purpose: The study aims to analyze the determinants of reproductive health care (RHC) behavior in adolescents. Methods: This study is an analytic observational research using a cross-sectional design. The research was conducted at SMPN 20 Kupang City in 2022. The sample size are 82 students selected using a random sampling technique. The research variables are the characteristics of respondents, health literacy, parental support, teacher support, perceived vulnerability, seriousness, benefits, barriers, cue to act and RHC behavior. Bivariate data analysis used chi-square, and multivariate data analysis used logistic binary regression. Results: The results show that 57% of the respondents have a deficient reproductive health care behavior. The most dominant variable influencing RHC behavior was living with parents (PR= 4.86; CI= 1.22-19.27). Adolescents who live with their parents are 4.86 times more likely to do RHC compared to adolescents who do not live with their parents. Conclusion: These findings recommend the importance of optimizing the role of parents as peers in providing RHC education for adolescents. Parents who do not live with their children have to pay attention and remind their children to keep doing RHC.

Speech Emotion Recognition Applied to Real-World Medical Consultation.

Since 2020, the COVID-19 epidemic has changed our lives in healthcare behaviors. Forced to wear masks influenced doctor-patient interaction perceptions truly, thus, to build a satisfying relationship is not just empathize with facial expressions. The voice becomes more important for the sake of conquering the burden of masks. Hence, verbal and non-verbal communication will be crucial criteria for doctor-patient interaction during medical consultations and other conversations. In these years, speech emotion recognition has been a popular research domain. In spite of abundant work conducted, nonverbal emotion recognition in medical scenarios is still required to reveal. In this study, we investigate YAMNet transfer learning on Chinese Mandarin speech corpus NTHU-NTUA Chinese Interactive Emotion Corpus (NNIME) and use real-world dermatology clinic recording to test the generalization capability. The results showed that the accuracy validated on NNIME data was 0.59 for activation prediction and 0.57 for valence. Furthermore, the validation accuracy on the doctor-patient dataset was 0.24 for activation and 0.58 for valence, respectively.

School-Based Tele-Behavioral Health: A Scoping Review of the Literature.

Telehealth utilization exploded during the COVID-19 pandemic, including within school-based health programs. School-based tele-behavioral health can help programs overcome barriers of access to care, but the current state and effectiveness of such programs are unknown. A scoping literature review was conducted. Studies were included if they described in-school behavioral health services delivered via telehealth for children ages 5 to 18. From the included studies, population, location, setting, intervention, telehealth modality, clinician type, and outcomes assessed were extracted. Eighteen studies met inclusion criteria. All described psychotherapy or medication management delivered by psychologists (n = 7) and/or psychiatrists (n = 11). Treatment included psychotherapy (N = 8), psychiatric consultation (N = 7), medication management (N = 4), crisis stabilization (N = 1), and caregiver education (N = 1). Eight studies provide qualitative or quantitative outcomes, with 4 examining clinical effectiveness. Despite limited findings in the literature, school-based tele-behavioral health is feasible, effective, and acceptable for delivery of behavioral health care to children and adolescents.

Evidence-based telehealth interventions for posttraumatic stress disorder, depression, and anxiety: A systematic review and meta-analysis.

The goal of this systematic review was to examine the efficacy of behavioral health care treatments for posttraumatic stress disorder (PTSD), depression, and anxiety delivered via telehealth. We searched a combination of keywords related to telehealth, relevant mental health disorders, and evidence-based psychotherapies in three databases (PubMed, PsycInfo, and Embase) from database inception to April 2022. We included randomized controlled trials published in English wherein at least one arm received an evidence-based psychotherapy via telehealth. To be included, studies also had to enroll an adult population with symptoms or diagnosis of PTSD, depressive disorder, or anxiety disorder. Moderate quality of evidence was consistent with only small differences, if any, in efficacy between video teleconferencing (VTC) and in-person delivery for patients with PTSD (d = 0.06, 95% CI -0.17, 0.28). However, for those with depression, in-person delivery was associated with better outcomes compared to VTC (d = 0.28, 95% CI 0.03, 0.54; low quality of evidence). We also found that evidence-based treatments delivered over telephone were more efficacious for depression compared to treatment as usual (d = -0.47, 95% CI -0.66, -0.28; very low quality of evidence). Very low quality of evidence supported the use of telehealth versus waitlist for anxiety (d = -0.48, 95% CI -0.89, -0.09). A synthesis across 29 studies indicates that the efficacy of telehealth for delivery of evidence-based behavioral health interventions varies by target diagnosis and telehealth modality. More research is needed on the efficacy of telehealth treatments for depression and anxiety.

Mental Health Counseling From Conversational Content With Transformer-Based Machine Learning

Use of asynchronous text-based counseling is rapidly growing as an easy-to-access approach to behavioral health care. Similar to in-person treatment, it is challenging to reliably assess as measures of process and content do not scale. To use machine learning to evaluate clinical content and client-reported outcomes in a large sample of text-based counseling episodes of care. In this quality improvement study, participants received text-based counseling between 2014 and 2019; data analysis was conducted from September 22, 2022, to November 28, 2023. The deidentified content of messages was retained as a part of ongoing quality assurance. Treatment was asynchronous text-based counseling via an online and mobile therapy app (Talkspace). Therapists were licensed to provide mental health treatment and were either independent contractors or employees of the product company. Participants were self-referred via online sign-up and received services via their insurance or self-pay and were assigned a diagnosis from their health care professional. All clients received counseling services from a licensed mental health clinician. The primary outcomes were client engagement in counseling (number of weeks), treatment satisfaction, and changes in client symptoms, measured via the 8-item version of Patient Health Questionnaire (PHQ-8). A previously trained, transformer-based, deep learning model automatically categorized messages into types of therapist interventions and summaries of clinical content. The total sample included 166 644 clients treated by 4973 therapists (20 600 274 messages). Participating clients were predominantly female (75.23%), aged 26 to 35 years (55.4%), single (37.88%), earned a bachelor's degree (59.13%), and were White (61.8%). There was substantial variability in intervention use and treatment content across therapists. A series of mixed-effects regressions indicated that collectively, interventions and clinical content were associated with key outcomes: engagement (multiple R = 0.43), satisfaction (multiple R = 0.46), and change in PHQ-8 score (multiple R = 0.13). This quality improvement study found associations between therapist interventions, clinical content, and client-reported outcomes. Consistent with traditional forms of counseling, higher amounts of supportive counseling were associated with improved outcomes. These findings suggest that machine learning-based evaluations of content may increase the scale and specificity of psychotherapy research.