Background

The epidemiology of mental health disorders has important theoretical and practical implications for health care service and planning. The recent increase in big data storage and subsequent development of analytical tools suggest that mining search databases may yield important trends on mental health, which can be used to support existing population health studies.

Objective

This study aimed to map depression search intent in the United States based on internet-based mental health queries.

Methods

Weekly data on mental health searches were extracted from Google Trends for an 11-year period (2010-2021) and separated by US state for the following terms: "feeling sad," "depressed," "depression," "empty," "insomnia," "fatigue," "guilty," "feeling guilty," and "suicide." Multivariable regression models were created based on geographic and environmental factors and normalized to the following control terms: "sports," "news," "google," "youtube," "facebook," and "netflix." Heat maps of population depression were generated based on search intent.

Results

Depression search intent grew 67% from January 2010 to March 2021. Depression search intent showed significant seasonal patterns with peak intensity during winter (adjusted P<.001) and early spring months (adjusted P<.001), relative to summer months. Geographic location correlated with depression search intent with states in the Northeast (adjusted P=.01) having higher search intent than states in the South.

Conclusions

The trends extrapolated from Google Trends successfully correlate with known risk factors for depression, such as seasonality and increasing latitude. These findings suggest that Google Trends may be a valid novel epidemiological tool to map depression prevalence in the United States.

Primary care providers (PCPs) are increasingly called upon to screen for and treat depression. However, PCPs often lack the training to diagnose and treat depression. We designed an innovative 12-month evidence and mentorship-based primary care psychiatric training program entitled the University of California, Irvine (UCI) School of Medicine Train New Trainers Primary Care Psychiatry (TNT PCP) Fellowship and examined whether this training impacted clinician prescription rates for antidepressants. We retrieved information on 18,844 patients and 192 PCPs from a publicly insured health program in Southern California receiving care between 2017 and 2021. Of the 192 PCPs, 42 received TNT training and 150 did not. We considered a patient as exposed to the providers TNT treatment if they received care from a provider after the provider completed the 1-year fellowship. We utilized the number of antidepressant prescriptions per patient, per quarter-year as the dependent variable. Linear regression models controlled for provider characteristics and time trends. Robustness checks included clustering patients by provider identification. After PCPs completed TNT training, exposed patients received 0.154 more antidepressant prescriptions per quarter-year relative to expected levels (p < 0.01). Clustering of standard errors by provider characteristics reduced precision of the estimate (p < 0.10) but the direction and magnitude of the results were unchanged. Early results from the UCI TNT PCP Fellowship demonstrate enhanced antidepressant prescription behavior in PCPs who have undergone TNT training. A novel, and relatively low-cost, clinician training program holds the potential to empower PCPs to optimally deliver depression treatment.

Objective

Integrated behavioral healthcare models typically involve a range of consultation options for mental healthcare. Asynchronous telepsychiatry (ATP) consults may be an additional potential choice, so we are conducting a 5-year clinical trial comparing ATP with synchronous telepsychiatry (STP) consultations.

Methods

Patients referred by primary care providers are randomly assigned to one of the two treatment groups, ATP or STP. Clinical outcome, satisfaction, and economic data are being collected from patients for 2 years at 6-month intervals.

Results

Baseline characteristics for the first 158 patients and case examples of ATP are presented.

Conclusion

Implementing ATP in existing integrated behavioral healthcare models could make mental healthcare more efficient.

Objective: Asynchronous telepsychiatry (ATP) is an integrative model of behavioral health service delivery that is applicable in a variety of settings and populations, particularly consultation in primary care. This article outlines the development of a training model for ATP clinician skills. Methods: Clinical and procedural training for ATP clinicians (n = 5) was provided by master's-level, clinical mental health providers developed by three experienced telepsychiatrists (P.Y. D.H., and J.S) and supervised by a tele-psychiatrist (PY, GX, DL) through seminar, case supervision, and case discussions. A training manual and one-on-one sessions were employed for initial training. Unstructured expert discussion and feedback sessions were conducted in the training phase of the study in year 1 and annually thereafter over the remaining 4 years of the study. The notes gathered during those sessions were synthesized into themes to gain a summary of the study telepsychiatrist training recommendations for ATP interviewers. Results: Expert feedback and discussion revealed three overarching themes of recommended skill sets for ATP interviewers: (1) comprehensive skills in brief psychiatric interviewing, (2) adequate knowledge base of behavioral health conditions and therapeutic techniques, and (3) clinical documentation, integrated care/consultation practices, and e-competency skill sets. The model of training and skill requirements from expert feedback sessions included these three skill sets. Technology training recommendations were also identified and included: (1) awareness of privacy/confidentiality for electronic data gathering, storage, management, and sharing; (2) technology troubleshooting; and (3) video filming/retrieval. Conclusions: We describe and provide a suggested training model for the use of ATP integrated behavioral health. The training needs for ATP clinicians were assessed on a limited convenience sample of experts and clinicians, and more rigorous studies of training for ATP and other technology-focused, behavioral health services are needed. Clinical Trials number: NCT03538860.

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.

Objective:To compare clinical recommendations given by psychiatrists and the adherence to these recommendations by primary care physicians (PCP) following consultations conducted by asynchronous telepsychiatry (ATP) and synchronous telepsychiatry (STP).Materials and Methods:ATP and STP consultations were compared using intermediate data from a randomized clinical trial with adult participant enrollment between April 2014 and December 2017. In both study arms, PCPs received written recommendations from the psychiatrist after each encounter. Independent clinicians reviewed PCP documentation to measure adherence to those recommendations in the 6 months following the baseline consultation.Results:Medical records were reviewed for 645 psychiatrists' consult recommendations; 344 from 61 ATP consultations and 301 from 62 STP consultations. Of those recommendations, 191 (56%) and 173 (58%) were rated fully adherent by two independent raters for ATP and STP, respectively. In a multilevel ordinal logistic regression model adjusted for recommendation type and recommended implementation timing, there was no statistically significant difference in adherence to recommendations for ATP compared with STP (adjusted odds ratio = 0.91, 95% confidence interval = 0.51-1.62). The profiles of recommendation type were comparable between ATP and STP.Conclusions:This is the first PCP adherence study comparing two forms of telemedicine. Although we did not find evidence of a difference between ATP and STP; this study supports the feasibility and acceptability of ATP and STP for the provision of collaborative psychiatric care. Clinical Trial Identifier NCT02084979.