Effect of a Virtual Patient Navigation Program on Behavioral Health Admissions in the Emergency Department: A Randomized Clinical Trial

Telehealth Use and Health Equity for Mental Health and Substance Use Disorder During the COVID-19 Pandemic: A Systematic Review

Background: As a result of the COVID-19 public health emergency (PHE), telehealth utilization accelerated to facilitate health care management and minimize risk. However, those with mental health conditions and substance use disorders (SUD)-who represent a vulnerable population, and members of underrepresented minorities (e.g., rural, racial/ethnic minorities, the elderly)-may not benefit from telehealth equally. Objective: To evaluate health equality in clinical effectiveness and utilization measures associated with telehealth for clinical management of mental health disorders and SUD to identify emerging patterns for underrepresented groups stratified by race/ethnicity, gender, age, rural status, insurance, sexual minorities, and social vulnerability. Methods: We performed a systematic review in PubMed, Embase, Cochrane Central Register of Controlled Trials, and CINAHL through November 2022. Studies included those with telehealth, COVID-19, health equity, and mental health or SUD treatment/care concepts. Our outcomes included general clinical measures, mental health or SUD clinical measures, and operational measures. Results: Of the 2,740 studies screened, 25 met eligibility criteria. The majority of studies (n = 20) evaluated telehealth for mental health conditions, while the remaining five studies evaluated telehealth for opioid use disorder/dependence. The most common study outcomes were utilization measures (n = 19) or demographic predictors of telehealth utilization (n = 3). Groups that consistently demonstrated less telehealth utilization during the PHE included rural residents, older populations, and Black/African American minorities. Conclusions: We observed evidence of inequities in telehealth utilization among several underrepresented groups. Future efforts should focus on measuring the contribution of utilization disparities on outcomes and strategies to mitigate disparities in implementation.

Pharmacy Assistance Programs for Oral Anticancer Drugs: A Narrative Review

Oral anticancer medications (OAMs) are high priced with a significant cost-sharing burden to patients, which can lead to catastrophic financial, psychosocial, and clinical repercussions. Cost-conscious prescribing and inclusion of low-cost alternatives can help mitigate this burden, but cost transparency at the point of prescribing remains a major barrier to doing so. Pharmacy assistance programs, including co-payment cards and patient assistance programs administered by manufacturers and foundation-based grants, remain an essential resource for patients facing prohibitive co-payments for OAMs. However, access to these programs is fraught with complexities, including lack of trained financial navigators, limited transparency on eligibility criteria, onerous documentation burdens, and limits in available funding. Despite these drawbacks and the potential for such programs to incentivize manufacturers to keep list prices high, assistance programs have been demonstrated to improve financial well-being for patients with cancer. The increasing development of integrated specialty pharmacies with dedicated, trained pharmacy staff can help improve and standardize access to such programs, but these services are disproportionately available to patients seen at tertiary care centers. Multistakeholder interventions are needed to mitigate the burden of cost sharing for OAMs, including increased clinician knowledge of financial resources and novel assistance mechanisms, investment of institutions in trained financial navigation services and centralized platforms to identify assistance programs, and policies to cap out-of-pocket spending and improve transparency of rates charged by pharmacy benefit managers to a health plan.

Quality and Dependability of ChatGPT and DingXiangYuan Forums for Remote Orthopedic Consultations: Comparative Analysis

BACKGROUND

The widespread use of artificial intelligence, such as ChatGPT (OpenAI), is transforming sectors, including health care, while separate advancements of the internet have enabled platforms such as China's DingXiangYuan to offer remote medical services.

OBJECTIVE

This study evaluates ChatGPT-4's responses against those of professional health care providers in telemedicine, assessing artificial intelligence's capability to support the surge in remote medical consultations and its impact on health care delivery.

METHODS

We sourced remote orthopedic consultations from "Doctor DingXiang," with responses from its certified physicians as the control and ChatGPT's responses as the experimental group. In all, 3 blindfolded, experienced orthopedic surgeons assessed responses against 7 criteria: "logical reasoning," "internal information," "external information," "guiding function," "therapeutic effect," "medical knowledge popularization education," and "overall satisfaction." We used Fleiss κ to measure agreement among multiple raters.

RESULTS

Initially, consultation records for a cumulative count of 8 maladies (equivalent to 800 cases) were gathered. We ultimately included 73 consultation records by May 2023, following primary and rescreening, in which no communication records containing private information, images, or voice messages were transmitted. After statistical scoring, we discovered that ChatGPT's "internal information" score (mean 4.61, SD 0.52 points vs mean 4.66, SD 0.49 points; P=.43) and "therapeutic effect" score (mean 4.43, SD 0.75 points vs mean 4.55, SD 0.62 points; P=.32) were lower than those of the control group, but the differences were not statistically significant. ChatGPT showed better performance with a higher "logical reasoning" score (mean 4.81, SD 0.36 points vs mean 4.75, SD 0.39 points; P=.38), "external information" score (mean 4.06, SD 0.72 points vs mean 3.92, SD 0.77 points; P=.25), and "guiding function" score (mean 4.73, SD 0.51 points vs mean 4.72, SD 0.54 points; P=.96), although the differences were not statistically significant. Meanwhile, the "medical knowledge popularization education" score of ChatGPT was better than that of the control group (mean 4.49, SD 0.67 points vs mean 3.87, SD 1.01 points; P<.001), and the difference was statistically significant. In terms of "overall satisfaction," the difference was not statistically significant between the groups (mean 8.35, SD 1.38 points vs mean 8.37, SD 1.24 points; P=.92). According to how Fleiss κ values were interpreted, 6 of the control group's score points were classified as displaying "fair agreement" (P<.001), and 1 was classified as showing "substantial agreement" (P<.001). In the experimental group, 3 points were classified as indicating "fair agreement," while 4 suggested "moderate agreement" (P<.001).

CONCLUSIONS

ChatGPT-4 matches the expertise found in DingXiangYuan forums' paid consultations, excelling particularly in scientific education. It presents a promising alternative for remote health advice. For health care professionals, it could act as an aid in patient education, while patients may use it as a convenient tool for health inquiries.

The Management of Children and Youth With Pediatric Mental and Behavioral Health Emergencies

Mental and behavioral health (MBH) emergencies in children and youth continue to increasingly affect not only the emergency department (ED), but the entire spectrum of emergency medical services for children, from prehospital services to the community. Inadequate community and institutional infrastructure to care for children and youth with MBH conditions makes the ED an essential part of the health care safety net for these patients. As a result, an increasing number of children and youth are referred to the ED for evaluation of a broad spectrum of MBH emergencies, from depression and suicidality to disruptive and aggressive behavior. However, challenges in providing optimal care to these patients include lack of personnel, capacity, and infrastructure, challenges with timely access to a mental health professional, the nature of a busy ED environment, and paucity of outpatient post-ED discharge resources. These factors contribute to prolonged ED stays and boarding, which negatively affects patient care and ED operations. Strategies to improve care for MBH emergencies, including systems level coordination of care, is therefore essential. The goal of this policy statement and its companion technical report is to highlight strategies, resources, and recommendations for improving emergency care delivery for pediatric MBH.

The Management of Children and Youth With Pediatric Mental and Behavioral Health Emergencies

Mental and behavioral health (MBH) emergencies in children and youth continue to increasingly affect not only the emergency department (ED), but the entire spectrum of emergency medical services for children, from prehospital services to the community. Inadequate community and institutional infrastructure to care for children and youth with MBH conditions makes the ED an essential part of the health care safety net for these patients. As a result, an increasing number of children and youth are referred to the ED for evaluation of a broad spectrum of MBH emergencies, from depression and suicidality to disruptive and aggressive behavior. However, challenges in providing optimal care to these patients include lack of personnel, capacity, and infrastructure, challenges with timely access to a mental health professional, the nature of a busy ED environment, and paucity of outpatient post-ED discharge resources. These factors contribute to prolonged ED stays and boarding, which negatively affects patient care and ED operations. Strategies to improve care for MBH emergencies, including systems level coordination of care, is therefore essential. The goal of this policy statement and its companion technical report is to highlight strategies, resources, and recommendations for improving emergency care delivery for pediatric MBH.

The Management of Children and Youth With Pediatric Mental and Behavioral Health Emergencies

Mental and behavioral health (MBH) emergencies in children and youth continue to increasingly affect not only the emergency department (ED), but the entire spectrum of emergency medical services for children, from prehospital services to the community. Inadequate community and institutional infrastructure to care for children and youth with MBH conditions makes the ED an essential part of the health care safety net for these patients. As a result, an increasing number of children and youth are referred to the ED for evaluation of a broad spectrum of MBH emergencies, from depression and suicidality to disruptive and aggressive behavior. However, challenges in providing optimal care to these patients include lack of personnel, capacity, and infrastructure; challenges with timely access to a mental health professional; the nature of a busy ED environment; and paucity of outpatient post-ED discharge resources. These factors contribute to prolonged ED stays and boarding, which negatively affect patient care and ED operations. Strategies to improve care for MBH emergencies, including systems-level coordination of care, are therefore essential. The goal of this policy statement and its companion technical report is to highlight strategies, resources, and recommendations for improving emergency care delivery for pediatric MBH.

Impact of Patient Navigation on Reducing Breast Imaging Disparities and Applications in the COVID-19 Era

The coronavirus (COVID-19) pandemic has impacted breast cancer screening with concerns that this may lead to increased overall breast cancer mortality and worsened racial and ethnic disparities in breast cancer survival. As pandemic recovery efforts are underway, we must be prepared to address barriers to timely access of breast imaging services, including those that existed prior to the pandemic, as well as any new barriers that may arise as a result of the pandemic. Patient navigation is an important tool that has been shown to address barriers to timely breast imaging access and help reduce disparities. Patient navigation programs can serve as a key part of the strategy to mitigate the impact of the COVID-19 pandemic on timely breast cancer diagnosis. These programs have been shown to be successful in promoting adherence to breast cancer screening guidelines as well as encouraging timely diagnostic follow-up, particularly in underserved communities. Further research is needed to explore the role of using a telehealth platform for patient navigation and evaluate the cost-effectiveness of patient navigator programs as well as more randomized controlled trials to further explore the impact of patient navigation programs.

Early Learning From a Low-Resource COVID-Response Virtual Mental Health Crisis Ward: Mixed Methods Study

Background

The COVID-19 pandemic was accompanied by the accelerated uptake of virtual care, leading to a proliferation of virtual ward models as alternatives to facility-based care. Early in the pandemic, our program implemented a virtual mental health crisis ward (vWard) to provide options for individuals requiring intense psychiatric and/or crisis support but who preferred to remain in the community and were deemed safe to do so.

Objective

The aim of this study was to identify early learnings from the vWard, which was implemented rapidly in a resource-constrained environment, to inform the future state should it be sustained beyond the pandemic.

Methods

Mixed methods of data collection were used to evaluate provider perspectives on the vWard, develop archetypes for individuals who are a good fit for the vWard model, and create a driver diagram. Data sources included an anonymous survey of clinical and managerial staff involved in the vWard, a service planning workshop, and program discharge forms for all individuals admitted between March 2020 and April 2021. Survey responses were coded for themes under categories of “benefits” and “challenges.” Discharge forms where the team indicated that the vWard was a good fit for an individual were examined for characteristics common to these admissions. These findings were reviewed in the service planning workshop and refined with input from the participants into patient archetypes. A driver diagram was created for the future state.

Results

Survey respondents (N=60) represented diverse roles in crisis services and the vWard team. Ten providers took part in the service planning workshop. A total of 467 discharge forms were reviewed. The vWard was felt to be a model that worked by 39 survey respondents, one respondent felt it did not work, and the remaining participants had no response. Several benefits for the individual and the system were identified alongside challenges, including certain processes and materials related to the nature of rapid implementation during the pandemic, and others due to lack of fit for certain individuals. The model was felt to be a good fit for 67.5% of admissions. Four patient archetypes representing a good fit with the model were developed. The driver diagram connected the program aim with primary drivers of (1) reduce barriers to care; (2) improve outcomes; and (3) provide collaborative, patient- and family-centered care to secondary drivers and interventions that leveraged virtual technology among other crisis care interventions.

Conclusions

Despite some challenges, the vWard demonstrated high levels of provider acceptance and a range of mechanisms by which the model works for a variety of patient archetypes. These early learnings provide a foundation for growth, sustainability, and spread of this model going forward beyond the pandemic.

Reducing Readmission of Hospitalized Patients With Depressive Symptoms: A Randomized Trial

PURPOSE

To determine if hospitalized patients with depressive symptoms will benefit from post-discharge depression treatment with care transition support.

METHODS

This is a randomized controlled trial of hospitalized patients with patient health questionnaire-9 score of 10 or more. We delivered the Re-Engineered Discharge (RED) and randomized participants to groups receiving RED-only or RED for Depression (RED-D), a 12-week post-discharge telehealth intervention including cognitive behavioral therapy, self-management support, and patient navigation. Primary outcomes were hospital readmission and reutilization rates at 30 and 90 days post discharge.

RESULTS

We randomized 709 participants (353 RED-D, 356 RED-only). At 90 days, 265 (75%) intervention participants had received at least 1 RED-D session (median 4). At 30 days, the intention-to-treat analysis showed no differences between RED-D vs RED-only in hospital readmission (9% vs 10%, incidence rate ratio [IRR] 0.92 [95% CI, 0.56-1.52]) or reutilization (27% vs 24%, IRR 1.14 [95% CI, 0.85-1.54]). The intention-to-treat analysis also showed no differences at 90 days in readmission (28% vs 21%, IRR 1.30 [95% CI, 0.95-1.78]) or reutilization (70% vs 57%, IRR 1.22 [95% CI, 1.01-1.49]). In the as-treated analysis, each additional RED-D session was associated with a decrease in 30- and 90-day readmissions. At 30 days, among 104 participants receiving 3 or more sessions, there were fewer readmissions (3% vs 10%, IRR 0.30 [95% CI, 0.07-0.84]) compared with the control group. At 90 days, among 109 participants receiving 6 or more sessions, there were fewer readmissions (11% vs 21%, IRR 0.52 [95% CI, 0.27-0.92]). Intention-to-treat analysis showed no differences between study groups on secondary outcomes.

CONCLUSIONS

Care transition support and post-discharge depression treatment can reduce unplanned hospital use with sufficient uptake of the RED-D intervention.

Telemedicine Use in Refugee Primary Care: Implications for Care Beyond the COVID-19 Pandemic

The expansion of telemedicine during the COVID-19 pandemic offers an opportunity to reach vulnerable refugee communities with limited access to healthcare; however, there are limited data on characteristics of refugee patients that are associated with telemedicine use. We examined primary care encounters between March 2020 and February 2021. We compared telemedicine encounters among refugee and non-refugee patients and examined patient characteristics associated with telemedicine use in refugee patients. Overall, refugees used telemedicine less (aOR = 0.59, p < .001). Among refugee patients, telemedicine encounters were more likely if the patient had hypertension or diabetes, had an activated patient portal, carried private insurance and spoke English as their primary language. Telemedicine may be a useful modality of care management for refugee patients who require many follow-up visits; however, language barriers remain a concern. This is important to consider as telemedicine efforts continue and are expanded.

Beam Me Out: Review of Emergency Department Telepsychiatry and Lessons Learned During COVID-19

PURPOSE OF REVIEW

The aim of this review is to critically evaluate recent literature on the use of telepsychiatry in emergency departments (EDTP) and synthesize the evidence on telepsychiatry during public health emergencies. We also report on experiences and success stories from a state-wide EDTP program in South Carolina during the COVID-19 pandemic.

RECENT FINDINGS

We identified 12 peer-reviewed articles published between January 2019 and February 2021 that evaluated EDTP interventions and their impact on patient outcomes. The recent evidence on EDTP shows a significant association between EDTP implementation or use and decreased patients' wait time in emergency department (ED), shorter length of stay in certain settings, reduced ED revisit rates, improved ED patient disposition (e.g., more discharge to home, less observational stays, and decreased inpatient admissions), and reduced follow-up encounters involving self-harm diagnosis. The EDTP virtual delivery model can help healthcare systems reduce burden of public health emergencies on providers, staff, and patients alike. While a disruption of magnitude seen by COVID-19 may be infrequent, strategies used during the pandemic may be implemented to enhance care in rural settings, and/or enhance preparedness of communities and healthcare systems during more commonly occurring natural disasters.