Literature Collection

BACKGROUND: Digital mental health applications (DMHAs) are emerging, novel solutions to address gaps in behavioral health care. Accordingly, Kaiser Permanente Mid-Atlantic States (KPMAS) integrated referrals for 6 unique DMHAs into clinical care in 2019. OBJECTIVE: This study investigated patient and health care professional (HCP) experiences with DMHA referral; DMHA use; and perceived importance of engagement, functionality, design, and information attributes in real-world practice. METHODS: Separate cross-sectional surveys were developed and tested for patients and HCPs. Surveys were administered to KPMAS participants through REDCap (Research Electronic Data Capture), and completed between March 2022 and June 2022. Samples included randomly selected patients who were previously referred to at least 1 DMHA between April 2021 and December 2021 and behavioral health and primary care providers who referred DMHAs between December 2019 and December 2021. RESULTS: Of the 119 patients e-mailed a survey link, 58 (48.7%) completed the survey and 44 (37%) confirmed receiving a DMHA referral. The mean age of the sample was 42.21 (SD 14.08) years (29/44, 66%); 73% (32/44) of the respondents were female, 73% (32/44) of the respondents had at least a 4-year college degree, 41% (18/44) of the respondents were Black or African American, and 39% (17/44) of the respondents were White. Moreover, 27% (12/44) of the respondents screened positive for anxiety symptoms, and 23% (10/44) of the respondents screened positive for depression. Overall, 61% (27/44) of the respondents reported DMHA use for ≤6 months since referral, 36% (16/44) reported use within the past 30 days, and 43% (19/44) of the respondents reported that DMHAs were very or extremely helpful for improving mental and emotional health. The most important patient-reported DMHA attributes by domain were being fun and interesting to use (engagement); ease in learning how to use (functionality); visual appeal (design); and having well-written, goal- and topic-relevant content (information). Of the 60 sampled HCPs, 12 (20%) completed the survey. Mean HCP respondent age was 46 (SD 7.75) years, and 92% (11/12) of the respondents were female. Mean number of years since completing training was 14.3 (SD 9.94) years (10/12, 83%). Of the 12 HCPs, 7 (58%) were physicians and 5 (42%) were nonphysicians. The most important HCP-reported DMHA attributes by domain were personalized settings and content (engagement); ease in learning how to use (functionality); arrangement and size of screen content (design); and having well-written, goal- and topic-relevant content (information). HCPs described "typical patients" referred to DMHAs based on perceived need, technical capability, and common medical conditions, and they provided guidance for successful use. CONCLUSIONS: Individual patient needs and preferences should match the most appropriate DMHA. With many DMHA choices, decision support systems are essential to assist patients and HCPs with selecting appropriate DMHAs to optimize uptake and sustained use.

Background: Asynchronous telepsychiatry (ATP) consultations are a novel form of psychiatric consultation. Studies comparing patient and provider satisfaction for ATP with that for synchronous telepsychiatry (STP) do not exist. Methods: This mixed-methods study is a secondary analysis of patients' and primary care providers' (PCPs) satisfaction from a randomized clinical trial of ATP compared with STP. Patients and their PCPs completed satisfaction surveys, and provided unstructured feedback about their experiences with either ATP or STP. Differences in patient satisfaction were assessed using mixed-effects logistic regression models, and the qualitative data were analyzed using thematic analysis with an inductive coding framework. Results: Patient satisfaction overall was high with 84% and 97% of respondents at 6 months reported being somewhat or completely satisfied with ATP and STP, respectively. Patients in the STP group were more likely to report being completely satisfied, to recommend the program to a friend, and to report being comfortable with their care compared with ATP (all p < 0.05). However, there was no difference between the patients in ATP and STP in perceived change in clinical outcomes (p = 0.51). The PCP quantitative data were small, and thus only summarized descriptively. Conclusions: Patients expressed their overall satisfaction with both STP and ATP. Patients in ATP reported more concerns about the process, likely because feedback after ATP was slower than that after STP consultations. PCPs had no apparent preference for STP or ATP, and reported implementing the psychiatrists' recommendations for both groups when such recommendations were made, which supports our previous findings. Trial Registration: ClinicalTrials.gov NCT02084979; https://clinicaltrials.gov/ct2/show/NCT02084979.

OBJECTIVES: As permanent telehealth policies are considered in the United States (U.S.), it is important to understand who uses telehealth most often following the pandemic. We described patients who used a national virtual care practice frequently, identified how they differed from patients who used it less often, and characterized the types of care frequent telehealth patients utilized. METHODS: We used video visit data for commercially-insured patients, aged 18+, from a national virtual integrated medical and behavioral health practice in 2022 in the U.S. Patients were categorized into three groups: one visit ('minimal use'), two to four visits ('some use'), and five or more visits ('frequent use'). We compared patient and geographic characteristics between the three groups and estimated an ordinary least squares linear regression to identify predictors of 'frequent' use relative to 'minimal' or 'some' use. RESULTS: The probability of being a frequent user declined with age (-0.4 percentage points (p.p.) per year; 95 % CI, -0.4 - -0.3), was higher for females (5.4 p.p.; 95 % CI, 4.1 - 6.7) and patients with greater clinical complexity (7.9 p.p. for highest relative to lowest quartile risk score; 95 % CI, 5.9 - 10.0), and lower for patients in the Northeast (-9.2 p.p.; 95 % CI, -15.5 - -2.9) or West (-3.2 p.p.; 95 % CI, -5.7 - -0.7) regions relative to the Southern region of the U.S. The five most common diagnoses were mental health conditions. CONCLUSIONS: Our results highlight the need for comprehensive telehealth policy that enables access, particularly for patients who rely on it as their primary source of care.

OBJECTIVE: The authors investigated adaptations to outpatient care delivery and changes in treatment demand and engagement among patients receiving medications for opioid use disorder (MOUD) in the months after the declaration of the COVID-19 public health emergency in 2020. METHODS: Data were collected through an online survey (June-November 2020) of outpatient MOUD prescribers. The survey obtained information on outpatient practices' adaptations to MOUD treatment and urine drug screening (UDS) and elicited provider views on the effects of the COVID-19 pandemic on patient demand for, and engagement in, treatment. Multivariable regression analyses were used to examine associations among practice characteristics, patient engagement, and service adaptations. RESULTS: Of 516 respondents, 74% reported adaptations to MOUD delivery during the pandemic. Most respondents implemented virtual visits for initial (67%) and follow-up (77%) contacts. Prescribers of buprenorphine were more likely than those who did not prescribe the medication to report MOUD adaptations. Among respondents reporting any MOUD adaptation, 77% made adaptations to their UDS practices. Among 513 respondents who answered COVID-19-related questions, 89% reported that the pandemic had affected the treatment and engagement of their patients. Of these respondents, 30% reported increased difficulty with patient engagement, and 45% reported that their patients preferred virtual visits during this period, whereas 18% endorsed patient preference for in-person visits. CONCLUSIONS: Telehealth and federal regulatory easements in response to the COVID-19 pandemic enabled providers to continue treating patients for opioid use disorder in 2020. The results suggest that care adaptations and changes in patient demand and engagement were common in the practices surveyed.

Integrated behavioral health can improve primary care and mental health outcomes. Access to behavioral health and primary care services in Texas is in crisis because of high uninsurance rates, regulatory restrictions, and lack of workforce. To address gaps in access to care, a partnership formed among a large local mental health authority in central Texas, a federally designated rural health clinic, and the Texas A&M University School of Nursing to create an interprofessional team-based health care delivery model led by nurse practitioners in rural and medically underserved areas of central Texas. Academic-practice partners identified 5 clinics for an integrated behavioral health care delivery model. From July 1, 2020, through December 31, 2021, a total of 3183 patient visits were completed. Patients were predominantly female (n = 1719, 54%) and Hispanic (n = 1750, 55%); 1050 (33%) were living at or below the federal poverty level; and 1400 (44%) were uninsured. The purpose of this case study was to describe the first year of implementation of the integrated health care delivery model, barriers to implementation, challenges to sustainability, and successes. We analyzed data from multiple sources, including meeting minutes and agendas, grant reports, direct observations of clinic flow, and interviews with clinic staff, and identified common qualitative themes (eg, challenges to integration, sustainability of integration, outcome successes). Results revealed implementation challenges with the electronic health record, service integration, low staffing levels during a global pandemic, and effective communication. We also examined 2 patient cases to illustrate the success of integrated behavioral health and highlighted lessons learned from the implementation process, including the need for a robust electronic health record and organizational flexibility.