Association Between In-Person vs Telehealth Follow-up and Rates of Repeated Hospital Visits Among Patients Seen in the Emergency Department

Utilization of transitional care management services and 30-day readmission

Transitional care management (TCM) visits have been shown to reduce 30-day readmissions, but it is unclear whether the decrease arises from the TCM visit itself or from clinic-level changes to meet the requirements of the TCM visits. We conducted a cross-sectional analysis using data from Northwell Health to examine the association between the type of post-discharge follow-up visits (TCM visits versus non-TCM visits based on billing) and 30-day readmission. Furthermore, we assessed whether being seen by a provider who frequently utilizes TCM visits or the TCM visit itself was associated with 30-day readmission. We included adult patients hospitalized to Medicine service and subsequent follow-up visits within two weeks of discharge between February 24, 2018, and February 24, 2020. We examined 1) post-discharge follow-up visit type (TCM visit versus non-TCM visit) and 2) provider characteristics (frequent TCM visit utilization or not). The primary outcome was unplanned hospital readmission within 30 days following hospital discharge. After propensity matching, TCM follow-up visits were associated with decreased 30-day readmissions (hazard ratio = 0.74 [0.63-0.88]) compared to non-TCM visits. Among patients with non-TCM follow-up visits, those seen by a provider who frequently used TCM visits had decreased odds (OR = 0.84 [0.71-0.99]) of 30-day readmission compared to those seen by providers who did not use TCM visits regularly. Among patients who followed up with providers who frequently use TCM visits, TCM visits were associated with decreased 30-day readmission compared to patients with non-TCM visits (OR = 0.78 [0.62-0.98]). The study has limitations, including the health system database not capturing all out-of-network follow-up visits. The reduction in 30-day readmission associated with TCM visits likely arises from both the visit itself and being seen by a provider who frequently uses TCM visits.

Outpatient follow-up and future care-seeking for pediatric ambulatory care-sensitive conditions

OBJECTIVES

Outpatient follow-up visits are often recommended for children with ambulatory care-sensitive conditions (ACSCs) who are discharged from emergency departments or urgent care centers (acute care settings). We sought to assess whether attending a follow-up visit within 7 days is associated with seeking initial office-based care rather than acute care during a subsequent ACSC illness. Understanding this association is crucial to guide recommendations for routine short-term follow-up visits in children who seek acute care for these common conditions.

METHODS

This was a cohort study of Medicaid-insured children younger than 18 years diagnosed with ACSCs and discharged from acute care settings in a multistate claims database in 2017-2019. We used generalized estimating equations to assess the association between a follow-up visit within 7 days and the site of initial care (office vs. acute care) during a subsequent ACSC illness. Models were adjusted for demographics, clinical characteristics, and prior patterns of healthcare utilization.

RESULTS

Among 866,392 acute care visits for ACSCs, 250,578 (28.9%) had an outpatient follow-up visit within 7 days. Follow-up was independently associated with increased odds of initial office-based care rather than initial acute care during the subsequent ACSC illness (adjusted OR [aOR], 1.41, 95% CI, 1.39-1.42).

CONCLUSIONS

Outpatient follow-up after acute care visits for ACSCs was associated with increased odds of initial office-based care during the next illness episode. This association may support recommendations for follow-up visits for certain children to promote subsequent utilization of office-based settings during acute illnesses.

Virtual Versus In-Person Follow-up After a Psychiatric Emergency Visit: A Population-Based Cohort Study: Suivi virtuel opposé à en personne après une visite à l'urgence psychiatrique : une étude de cohorte dans la population

OBJECTIVE

With increased utilization of virtual care in mental health, examining its appropriateness in various clinical scenarios is warranted. This study aimed to compare the risk of adverse psychiatric outcomes following virtual versus in-person mental health follow-up care after a psychiatric emergency department (ED) visit.

METHODS

Using population-based health administrative data in Ontario (2021), we identified 28,232 adults discharged from a psychiatric ED visit who had a follow-up mental health visit within 14 days postdischarge. We compared those whose first follow-up visit was virtual (telephone or video) versus in-person on their risk for experiencing either a repeat psychiatric ED visit, psychiatric hospitalization, intentional self-injury, or suicide in the 15-90 days post-ED visit. Cox proportional hazard models generated adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs), adjusted for age, income quintile, psychiatric hospitalization, and intentional self-injury in the 2 years prior to ED visit. We stratified by sex and diagnosis at index ED visits based on the International Classification of Diseases and Related Health Problems, 10th Revision, Canada (ICD-10-CA) coding.

RESULTS

About 65% (n = 18,354) of first follow-up visits were virtual, while 35% (n = 9,878) were in-person. About 13.9% and 14.6% of the virtual and in-person groups, respectively, experienced the composite outcome, corresponding to incidence rates of 60.9 versus 74.2 per 1000 person-years (aHR 0.95, 95% CI 0.89 to 1.01). Results were similar for individual elements of the composite outcome, when stratifying by sex and index psychiatric diagnosis, when varying exposure (7 days) and outcome periods (60 and 30 days), and comparing "only" virtual versus "any" in-person follow-up during the 14-day follow-up.

CONCLUSIONS AND RELEVANCE

These results support virtual care as a modality to increase access to follow-up after an acute care psychiatric encounter across a wide range of diagnoses. Prospective trials to discern whether this is due to the comparable efficacy of virtual and in-person care, or due solely to appropriate patient selection may be warranted.

Telemedicine appointments are more likely to be completed than in-person healthcare appointments: a retrospective cohort study

Objectives

Missed appointments can lead to treatment delays and adverse outcomes. Telemedicine may improve appointment completion because it addresses barriers to in-person visits, such as childcare and transportation. This study compared appointment completion for appointments using telemedicine versus in-person care in a large cohort of patients at an urban academic health sciences center.

Materials and Methods

We conducted a retrospective cohort study of electronic health record data to determine whether telemedicine appointments have higher odds of completion compared to in-person care appointments, January 1, 2021, and April 30, 2023. The data were obtained from the University of South Florida (USF), a large academic health sciences center serving Tampa, FL, and surrounding communities. We implemented 1:1 propensity score matching based on age, gender, race, visit type, and Charlson Comorbidity Index (CCI).

Results

The matched cohort included 87 376 appointments, with diverse patient demographics. The percentage of completed telemedicine appointments exceeded that of completed in-person care appointments by 9.2 points (73.4% vs 64.2%, P < .001). The adjusted odds ratio for telemedicine versus in-person care in relation to appointment completion was 1.64 (95% CI, 1.59-1.69, P < .001), indicating that telemedicine appointments are associated with 64% higher odds of completion than in-person care appointments when controlling for other factors.

Discussion

This cohort study indicated that telemedicine appointments are more likely to be completed than in-person care appointments, regardless of demographics, comorbidity, payment type, or distance.

Conclusion

Telemedicine appointments are more likely to be completed than in-person healthcare appointments.

Associations between language, telehealth, and clinical outcomes in patients with cancer during the COVID-19 pandemic

BACKGROUND

The COVID-19 pandemic prompted a surge in telehealth utilization. However, language barriers have emerged as a potential obstacle to effective telemedicine engagement, impacting millions of limited English proficient (LEP) individuals. Understanding the role of language spoken in telehealth outcomes is critical, particularly in cancer care, in which consistent follow-up and communication are vital. The primary objective was to assess the impact of telehealth utilization and primary language spoken on clinical outcomes in cancer patients.

METHODS

This study utilized a retrospective cohort design, encompassing cancer patients seen at the Chao Family Comprehensive Cancer Center between March 1, 2020, and December 31, 2022. The study incorporated both in-person and telehealth visits, examining the association between encounter type and clinical outcomes.

RESULTS

The study included 7890 patients with more than one outpatient visit during the study period. There was decreased telehealth utilization in non-English speaking cancer patients throughout the pandemic. Increased telehealth utilization was associated with higher rates of admission, irrespective of cancer type. Additionally, telehealth visits were associated with longer duration of subsequent admissions compared to in-person visits. Spanish-speaking patients utilizing telehealth had higher rates of re-admission compared to English speakers utilizing telehealth. Patients who died had higher rates of telehealth utilization compared to patients who survived.

CONCLUSIONS AND RELEVANCE

This study demonstrates that primary language spoken is associated with differences in telehealth utilization and associated outcomes in cancer patients. These differences suggest that the interplay of telehealth and language could contribute to widening of disparities in clinical outcomes in these populations. The study underscores the need to optimize telehealth usage and minimize its limitations to enhance the quality of cancer care in a telehealth-driven era.

Comparison between in-person, telehealth, and combination visits among veterans treated in a pharmacist-led diabetes management clinic

BACKGROUND

The Veterans Affairs San Diego Healthcare System converted its pharmacist-run Diabetes Intense Medical Management Clinic to telehealth during the COVID-19 pandemic. Previous studies suggested that in-person DIMM visits improved glycemic control, medication adherence, and patient satisfaction. To explore if these benefits apply to telehealth, we compared glycemic control in veterans with post-COVID-19 telehealth DIMM visits and prepandemic in-person DIMM visits.

OBJECTIVE

The primary study objective was to evaluate the mean hemoglobin (A1c) change from baseline in cohorts who received telehealth visits, traditional visits, or a combination of both after 12 months of intervention. Secondary objectives included evaluation of all-cause mortality and the average time to mortality (days).

METHODS

A retrospective multiarm historical cohort control study was conducted to compare 12-month glycemic control among veterans with type 2 diabetes who initiated DIMM care via audio-only telehealth, in-person, or combination between August 2018 and November 2021. Primary endpoint was the 12-month change in A1c from baseline; secondary measures included all-cause mortality and the average time to mortality (days).

RESULTS

A total of 44 veterans were included for analysis. At 12 months, the average decreases in A1c from baseline were -0.90% (95% CI: -2.82, 1.01), -1.73% (95% CI: -3.33, -0.14), and -1.42% (95% CI: -2.67, -0.18) for the In-Person, Telehealth, and Combination groups, respectively. No differences in quarterly HbA1c rate of change were reported across the groups. All-cause mortality was highest in the In-person group (15.4%) compared to the Telehealth (4.6%) and the Combination (0.0%) groups; however, these differences were not statistically significant. Lastly, there were no significant differences in average time to death between the groups.

CONCLUSION

Telehealth may be an alternative method of access to pharmacist-led diabetes care that is slowly making its way into our healthcare systems as a permanent fixture.

Effectiveness of telehealth versus in-person care during the COVID-19 pandemic: a systematic review

In this systematic review, we compared the effectiveness of telehealth with in-person care during the pandemic using PubMed, CINAHL, PsycINFO, and the Cochrane Central Register of Controlled Trials from March 2020 to April 2023. We included English-language, U.S.-healthcare relevant studies comparing telehealth with in-person care conducted after the onset of the pandemic. Two reviewers independently screened search results, serially extracted data, and independently assessed the risk of bias and strength of evidence. We identified 77 studies, the majority of which (47, 61%) were judged to have a serious or high risk of bias. Differences, if any, in healthcare utilization and clinical outcomes between in-person and telehealth care were generally small and/or not clinically meaningful and varied across the type of outcome and clinical area. For process outcomes, there was a mostly lower rate of missed visits and changes in therapy/medication and higher rates of therapy/medication adherence among patients receiving an initial telehealth visit compared with those receiving in-person care. However, the rates of up-to-date labs/paraclinical assessment were also lower among patients receiving an initial telehealth visit compared with those receiving in-person care. Most studies lacked a standardized approach to assessing outcomes. While we refrain from making an overall conclusion about the performance of telehealth versus in-person visits the use of telehealth is comparable to in-person care across a variety of outcomes and clinical areas. As we transition through the COVID-19 era, models for integrating telehealth with traditional care become increasingly important, and ongoing evaluations of telehealth will be particularly valuable.

Youth Preseason Performance on the Sport Concussion Assessment Tool 5 Across Multiple Sports

OBJECTIVE

To examine preseason Sport Concussion Assessment Tool 5 (SCAT5) performance of adolescent sport participants by environment (in-person/virtual), sex, age, concussion history, collision/noncollision sport participation, and self-reported medical diagnoses.

DESIGN

Cross-sectional.

SETTING

Canadian community and high-school sport settings.

PARTICIPANTS

Three thousand eight hundred five adolescent (2493 male, 1275 female, and 37 did not disclose; 11- to 19-year-old) sport participants.

ASSESSMENT OF RISK FACTORS

Sport Concussion Assessment Tool 5 administration method (in-person/virtual), sex (male/female/unreported), age (years), concussion history (0/1/2/3+), collision/noncollision sport participant, and self-reported medical diagnoses [attention deficit disorder or attention-deficit/hyperactivity disorder, headache/migraine, learning disability, and psychiatric disorder (ie, anxiety/depression/other)].

OUTCOME MEASURES

Preseason SCAT5 outcomes including total number of symptoms (TNS; /22), symptom severity score (SSS; /132), Standardized Assessment of Concussion (SAC; /50), and modified Balance Error Scoring System (mBESS; /30).

RESULTS

Multiple multilevel linear or Poisson regression complete case analyses adjusting for clustering and robust standard errors, with β-coefficients (95% CI) back-transformed to indicate an increase/decrease in SCAT5 subdomains when relevant for clinical interpretation. Virtual (V) performance was associated with fewer symptoms reported [TNS Difference V-IP = -1.53 (95% CI, -2.22 to -0.85)], lower SSS [-2.49 (95% CI, -4.41 to -0.58)], and fewer mBESS errors (IP) [-0.52 (95% CI, -0.77 to -0.27)] compared with in-person. For every one-year increase in age, more symptoms [TNS = 0.22 (95% CI, 0.01-0.44)], higher SSS [0.52 (95% CI, 0.01-1.06)], higher SAC [0.27 (95% CI, 0.15-0.38), and poorer balance [mBESS = -0.19 (-0.28 to -0.09)] were observed. Differences between males and females were also seen across all SCAT5 outcomes. Individuals reporting any medical diagnosis or 3+ concussion history also reported more symptoms (TNS) and higher SSS than those who did not.

CONCLUSIONS

Administration environment, sex, age, concussion history, and medical diagnoses were associated with SCAT5 subdomains and are important considerations when interpreting the SCAT5 results.

Telehealth Expansion and Medicare Beneficiaries' Care Quality and Access

Importance

Understanding the association of telehealth use with health care outcomes is fundamental to determining whether telehealth waivers implemented during the COVID-19 public health emergency should be made permanent. The current literature has yielded inconclusive findings owing to its focus on select states, practices, or health care systems.

Objective

To estimate the association of telehealth use with outcomes for all Medicare fee-for-service (FFS) beneficiaries by comparing hospital service areas (HSAs) with different levels of telehealth use.

Design, Setting, and Participants

This US population-based, retrospective cohort study was conducted from July 2022 to April 2023. Participants included Medicare claims of beneficiaries attributed to HSAs with FFS enrollment in Parts A and B.

Exposures

Low, medium, or high tercile of telehealth use created by ranking HSAs according to the number of telehealth visits per 1000 beneficiaries.

Main Outcomes and Measures

The primary outcomes were quality (ambulatory care-sensitive [ACS] hospitalizations and emergency department [ED] visits per 1000 FFS beneficiaries), access to care (clinician encounters per FFS beneficiary), and cost (total cost of care for Part A and/or B services per FFS Medicare beneficiary) determined with a difference-in-difference analysis.

Results

In this cohort study of claims from approximately 30 million Medicare beneficiaries (mean [SD] age in 2019, 71.04 [1.67] years; mean [SD] percentage female in 2019, 53.83% [2.14%]) within 3436 HSAs, between the second half of 2019 and the second half of 2021, mean ACS hospitalizations and ED visits declined sharply, mean clinician encounters per beneficiary declined slightly, and mean total cost of care per beneficiary per semester increased slightly. Compared with the low group, the high group had more ACS hospitalizations (1.63 additional hospitalizations per 1000 beneficiaries; 95% CI, 1.03-2.22 hospitalizations), more clinician encounters (0.30 additional encounters per beneficiary per semester; 95% CI, 0.23-0.38 encounters), and higher total cost of care ($164.99 higher cost per beneficiary per semester; 95% CI, $101.03-$228.96). There was no statistically significant difference in ACS ED visits between the low and high groups.

Conclusions and Relevance

In this cohort study of Medicare beneficiaries across all 3436 HSAs, high levels of telehealth use were associated with more clinician encounters, more ACS hospitalizations, and higher total health care costs. COVID-19 cases were still high during the period of study, which suggests that these findings partially reflect a higher capacity for providing health services in HSAs with higher telehealth intensity than other HSAs.

Challenges in and Opportunities for Electronic Health Record-Based Data Analysis and Interpretation

Electronic health records (EHRs) have been increasingly adopted in clinical practices across the United States, providing a primary source of data for clinical research, particularly observational cohort studies. EHRs are a high-yield, low-maintenance source of longitudinal real-world data for large patient populations and provide a wealth of information and clinical contexts that are useful for clinical research and translation into practice. Despite these strengths, it is important to recognize the multiple limitations and challenges related to the use of EHR data in clinical research. Missing data are a major source of error and biases and can affect the representativeness of the cohort of interest, as well as the accuracy of the outcomes and exposures. Here, we aim to provide a critical understanding of the types of data available in EHRs and describe the impact of data heterogeneity, quality, and generalizability, which should be evaluated prior to and during the analysis of EHR data. We also identify challenges pertaining to data quality, including errors and biases, and examine potential sources of such biases and errors. Finally, we discuss approaches to mitigate and remediate these limitations. A proactive approach to addressing these issues can help ensure the integrity and quality of EHR data and the appropriateness of their use in clinical studies.

Trends in Telepsychiatry and In-Person Psychiatric Care for Depression in an Academic Health System, 2017-2022

OBJECTIVE

The authors aimed to assess differences in appointment completion rates between telepsychiatry and in-person outpatient psychiatric care for patients with depression in an academic health system.

METHODS

Electronic health records of encounters for patients (ages ≥10) with a depression diagnosis and at least one scheduled outpatient psychiatric appointment (N=586,266 appointments; November 2017-October 2022) were assessed for appointment volume and completion of telepsychiatry versus in-person sessions.

RESULTS

Telepsychiatry became the dominant care modality after the onset of the COVID-19 pandemic, although the number of telepsychiatry and in-person appointments nearly converged by October 2022. Logistic regression showed that telepsychiatry appointments (July 2020-October 2022) were more likely (OR=1.30, 95% CI=1.27-1.34) to be completed than in-person appointments.

CONCLUSIONS

Telepsychiatry appointments were less likely to be canceled or missed than in-person appointments, suggesting that telepsychiatry improved efficiency and continuity of care. As in-person operations resume following the pandemic, maintaining telepsychiatry services may optimize hospital-level and patient outcomes.

Telehealth use during the early COVID-19 public health emergency and subsequent health care costs and utilization

Telehealth utilization increased during the COVID-19 pandemic, yet few studies have documented associations of telehealth use with subsequent medical costs and health care utilization. We examined associations of telehealth use during the early COVID-19 public health emergency (March-June 2020) with subsequent total medical costs and health care utilization among people with heart disease (HD). We created a longitudinal cohort of individuals with HD using MarketScan Commercial Claims data (2018-2022). We used difference-in-differences methodology adjusting for patients' characteristics, comorbidities, COVID-19 infection status, and number of in-person visits. We found that using telehealth during the stay-at-home order period was associated with a reduction in total medical costs (by -$1814 per person), number of emergency department visits (by -88.6 per 1000 persons), and number of inpatient admissions (by -32.4 per 1000 persons). Telehealth use increased per-person per-year pharmacy prescription claims (by 0.514) and average number of days' drug supply (by 0.773 days). These associated benefits of telehealth use can inform decision makers, insurance companies, and health care professionals, especially in the context of disrupted health care access.

Enhancing Telehealth Accessibility for Older Adults in Underserved Areas: A 4M Framework Approach

Background: Telehealth has emerged as a vital alternative to traditional healthcare delivery, particularly for rural and underserved populations. While efforts to enhance telehealth accessibility have primarily focused on technological solutions, the effectiveness of its telehealth and the role of physician training in bridging racial and ethnic disparities in telehealth usage remains underexplored. This study evaluates the impact of a trained-physician-delivered, age-friendly telehealth model on healthcare accessibility and outcomes. Methods: A retrospective analysis was conducted on 214 older patients (60+) at an urban primary care facility in Nevada, USA. Patients received telehealth services from either trained or non-trained physicians, with the trained group utilizing a 4M-based telehealth model focusing on Medication, Mentation, Mobility, and What Matters. Results: Findings revealed lower exposure to both general and 4M-based telehealth among Hispanic and Asian patients compared to their white counterparts. Telehealth usage did not significantly reduce hospital or emergency department visits overall. However, certain types of 4M-based telehealth, such as What Matters and Medications, reduced hospital and ED visits. Implications: The development and implementation of telehealth education curricula for healthcare providers could make telehealth more accessible to minority patients, potentially reducing unnecessary emergency department visits and addressing disparities in telehealth access.

Health care utilization and outcomes of patients seen by virtual urgent care versus in-person emergency department care

BACKGROUND

Virtual urgent care (VUC) is intended to support diversion of patients with low-acuity complaints and reduce the need for in-person emergency department visits. We aimed to describe subsequent health care utilization and outcomes of patients who used VUC compared with similar patients who had an in-person emergency department visit.

METHODS

We used patient-level encounter data that were prospectively collected for patients using VUC services provided by 14 pilot programs in Ontario, Canada. We linked the data to provincial administrative databases to identify subsequent 30-day health care utilization and outcomes. We defined 2 subgroups of VUC users; those with a documented prompt referral to an emergency department by a VUC provider, and those without. We matched patients in each cohort to an equal number of patients presenting to an emergency department in person, based on encounter date, medical concern and the logit of a propensity score. For the subgroup of patients not promptly referred to an emergency department, we matched patients to those who were seen in an emergency department and then discharged home.

RESULTS

Of the 19 595 patient VUC visits linked to administrative data, we matched 2129 patients promptly referred to the emergency department by a VUC provider to patients presenting to the emergency department in person. Index visit hospital admissions (9.4% v. 8.7%), 30-day emergency department visits (17.0% v. 17.5%), and hospital admissions (12.9% v. 11.0%) were similar between the groups. We matched 14 179 patients who were seen by a VUC provider with no documented referral to the emergency department. Patients seen by VUC were more likely to have a subsequent in-person emergency department visit within 72 hours (13.7% v. 7.0%), 7 days (16.5% v. 10.3%) and 30 days (21.9% v. 17.9%), but hospital admissions were similar within 72 hours (1.1% v. 1.3%), and higher within 30 days for patients who were discharged home from the emergency department (2.6% v. 3.4%).

INTERPRETATION

The impact of the provincial VUC pilot program on subsequent health care utilization was limited. There is a need to better understand the inherent limitations of virtual care and ensure future virtual providers have timely access to in-person outpatient resources, to prevent subsequent emergency department visits.

Emergency Department-to-Community Transitions of Care: Best Practices for the Older Adult Population

This article describes emergency department (ED)-to-community care transitions for older adults and associated challenges, measurement, proven efficacious and effective interventions, and policy considerations. Older adults experiencing social isolation and impairments in functional status or cognition represent unique populations that are particularly at risk during ED-to-community transitions of care and may benefit from targeted intervention implementation. Future efforts should target optimizing screening techniques to identify those at risk, developing and validating patient-centered outcome measures, and using policy and reimbursement levers to include transitional care management services for older adults within the ED setting.

Early postoperative telehealth visit protocol implementation reduces emergency department utilization following benign foregut procedures

INTRODUCTION

Emergency department (ED) visits and readmissions following benign foregut surgery (BFS) represent a burden on patients and the health care system. The objective of this study was to identify differences in ED visits and readmissions before and after implementation of an early postoperative telehealth visit protocol for BFS. We hypothesized that utilization of telehealth visits would be associated with reduced post-operative ED and hospital utilization.

METHODS

An early postoperative telehealth protocol was initiated in 2020 at an academic medical center to provide a video conference within the first postoperative week. Consecutive elective BFS including fundoplication, Linx, paraesophageal hernia repair, and Heller myotomy performed between 2018 and 2022 were included. Outcomes included ED visits and 30-day readmission. Bivariate analyses were performed using Chi-squared testing for categorical variables. The association between telehealth visits and outcomes were evaluated using multivariable logistic regression.

RESULTS

616 patients underwent BFS during the study period. 310 (50.3%) were performed prior to the implementation of telehealth visits and 306 (49.7%) were after. 241 patients in the telehealth visit group (78.8%) completed their telehealth visit. A total of 34 patients (5.5%) had ED visits without readmission while 38 patients (6.2%) were readmitted within the first 30 days. The most common cause of ED visits and readmissions included pain (n = 18, 25%) and nausea/vomiting (n = 12, 16%). There was a significant reduction in ED visits without admission following telehealth visit implementation (7.4% vs 3.6%; OR 2.20, 95% CI 1.04-4.65, p = 0.04). There was no difference in readmission rates (6.1% versus 6.5%; OR 0.89, 95% CI 0.46-1.73, p = 0.73). The telehealth cohort had significantly lower ED visits for pain (31% vs 16.7%, p = 0.04) and nausea/vomiting (23.8% vs 6.7%, p = 0.02).

DISCUSSION

Early telehealth follow-up was associated with a significant decrease in ED visits following BFS. The majority of this was attributable to a reduction in ED visits for pain, nausea, and vomiting. These results provide a possible avenue for improving quality and cost-effectiveness within this patient population.

Use of Telemedicine and Quality of Care Among Medicare Enrollees With Serious Mental Illness

Importance

During the COVID-19 pandemic, a large fraction of mental health care was provided via telemedicine. The implications of this shift in care for use of mental health service and quality of care have not been characterized.

Objective

To compare changes in care patterns and quality during the first year of the pandemic among Medicare beneficiaries with serious mental illness (schizophrenia or bipolar I disorder) cared for at practices with higher vs lower telemedicine use.

Design, Setting, and Participants

In this cohort study, Medicare fee-for-service beneficiaries with schizophrenia or bipolar I disorder were attributed to specialty mental health practices that delivered the majority of their mental health care in 2019. Practices were categorized into 3 groups based on the proportion of telemental health visits provided during the first year of the pandemic (March 2020-February 2021): lowest use (0%-49%), middle use (50%-89%), or highest use (90%-100%). Across the 3 groups of practices, differential changes in patient outcomes were calculated from the year before the pandemic started to the year after. These changes were also compared with differential changes from a 2-year prepandemic period. Analyses were conducted in November 2022.

Exposure

Practice-level use of telemedicine during the first year of the COVID-19 pandemic.

Main Outcomes and Measures

The primary outcome was the total number of mental health visits (telemedicine plus in-person) per person. Secondary outcomes included the number of acute hospital and emergency department encounters, all-cause mortality, and quality outcomes, including adherence to antipsychotic and mood-stabilizing medications (as measured by the number of months of medication fills) and 7- and 30-day outpatient follow-up rates after discharge for a mental health hospitalization.

Results

The pandemic cohort included 120 050 Medicare beneficiaries (mean [SD] age, 56.5 [14.5] years; 66 638 females [55.5%]) with serious mental illness. Compared with prepandemic changes and relative to patients receiving care at practices with the lowest telemedicine use: patients receiving care at practices in the middle and highest telemedicine use groups had 1.11 (95% CI, 0.45-1.76) and 1.94 (95% CI, 1.28-2.59) more mental health visits per patient per year (or 7.5% [95% CI, 3.0%-11.9%] and 13.0% [95% CI, 8.6%-17.4%] more mental health visits per year, respectively). Among patients of practices with middle and highest telemedicine use, changes in adherence to antipsychotic and mood-stabilizing medications were -0.4% (95% CI, -1.3% to 0.5%) and -0.1% (95% CI, -1.0% to 0.8%), and hospital and emergency department use for any reason changed by 2.4% (95% CI, -1.5% to 6.2%) and 2.8% (95% CI, -1.2% to 6.8%), respectively. There were no significant differential changes in postdischarge follow-up or mortality rates according to the level of telemedicine use.

Conclusions and Relevance

In this cohort study of Medicare beneficiaries with serious mental illness, patients receiving care from practices that had a higher level of telemedicine use during the COVID-19 pandemic had more mental health visits per year compared with prepandemic levels, with no differential changes in other observed quality metrics over the same period.

Effect of Telemedicine Use on Medical Spending and Health Care Utilization: A Machine Learning Approach

Introduction

This study analyzes the effect of telemedicine use on healthcare utilization and medical spending for patients with chronic mental illness.

Methods

Using the IBM MarketScan Research database from 2009 to 2018, this study examined the timing of users' first telemedicine use and identified similar periods for non-users by using random forest and random forest proximity matching. A difference-in-differences approach, which tests whether there are differences in the study outcomes before and after the actual/predicted first use among the treated group (users) compared with the control group (non-users), was then used to assess the impact of telemedicine. Analyses were done in 2021.

Results

Comparing users with non-users after matching suggested that telemedicine use both increases the number of overall outpatient visits (0.461; 95% CI=0.280, 0.642; p<0.001) related to psychotherapy and evaluation and management services, and decreases the number of in-person visits (0.280; 95% CI= -0.446, -0.114; p=0.001) for patients with chronic mental health diagnoses. Total medical spending was not significantly affected. Additionally, no evidence was found of telemedicine use being associated with an increased probability of an emergency department visit or hospitalization.

Conclusions

The study findings suggest that telemedicine use is associated with an increase in outpatient care utilization for patients with chronic mental health diagnoses. No substantive changes in medical spending, the probability of an emergency department visit, or the probability of hospitalization were noted. Results provide insights into the effect of telemedicine use on spending and healthcare utilization for patients with chronic mental illness. These findings may inform research to guide future telemedicine policies and interventions.