Literature Collection

IMPORTANCE: Telemedicine visits can offer patients convenient access to a clinician, but it is unclear whether treatment differs from that with in-person visits or how often patients require in-person follow-up. OBJECTIVE: To examine whether physician prescribing and orders differ between telemedicine and office visits, whether physicians conducting telemedicine visits are more likely to require in-person follow-up, and whether telemedicine visits are associated with more health events. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included all patients who scheduled primary care appointments through the patient portal of a large integrated health care delivery system newly implementing patient-scheduled video telemedicine visits from January 2016 to May 2018. MAIN OUTCOMES AND MEASURES: Adjusted rates of any medication prescribed or laboratory tests or imaging ordered and rates of follow-up health care utilization (in-person visits, emergency department visits, and hospitalizations) within 7 days after the index visit, stratified by index primary care visit type, were generated using multivariable adjustment for patient, access, and clinical characteristics. RESULTS: This study included 1 131 722 patients (611 821 [54%] female; mean [SD] age, 43 [22] years) with 2 178 440 total appointments (307 888 [14%] telemedicine), of which 13.5% were for patients younger than 18 years, 22.2% were for patients 65 years or older, and 54.9% were for female patients. After adjustment, 38.6% (95% CI, 38.0%-39.3%) of video visits, 34.7% (95% CI, 34.5%-34.9%) of telephone visits, and 51.9% (95% CI, 51.8%-52.0%) of office visits had any medication prescribed; laboratory tests or imaging were ordered for 29.2% (95% CI, 28.5%-29.8%) of video visits, 27.3% (95% CI, 27.1%-27.5%) of telephone visits, and 59.3% (95% CI, 59.3%-59.4%) of clinic visits. After adjustment, follow-up visits within 7 days occurred after 25.4% (95% CI, 24.7%-26.0%) of video visits, 26.0% (95% CI, 25.9%-26.2%) of telephone visits, and 24.5% (95% CI, 24.5%-24.6%) of office visits. Adjusted emergency department visits and rates of hospitalizations were not statistically significantly different by primary care index visit type. CONCLUSIONS AND RELEVANCE: In this cohort study of patient self-scheduled primary care telemedicine visits within ongoing patient-physician relationships, prescribing and orders were significantly lower for telemedicine visits than for clinic visits, with slightly higher follow-up office visits for telemedicine but no difference in health events (emergency department visits or hospitalizations). Video or telephone visits may be a convenient and efficient way to access primary care and address patient needs.

Background: A cascade of care (CoC) model may improve understanding of gaps in addiction treatment availability and quality over current single measure methods. Despite increased funding, opioid overdose rates remain high. Therefore, it is critical to understand where the health-care system is failing to provide appropriate care for people with opioid use disorder (OUD) diagnoses, and to assess disparities in receipt of medication for OUD (MOUD).Objective: Using a CoC framework, assess treatment quality and outcomes for OUD in the Florida Medicaid population in 2017/2018 by demographics and primary vs. secondary diagnosis.Methods: Data from Florida Medicaid claims for 2017 and 2018 were used to calculate the number of enrollees who were diagnosed, began MOUD, were retained on medication for a minimum of 180 days, and who died.Results: Only 28% of those diagnosed with OUD began treatment with an FDA approved MOUD (buprenorphine, methadone, or injectable naltrexone). Once on medication, 38% of newly diagnosed enrollees were retained in treatment for180 days. Those who remained on MOUD for 180 days had a hazard ratio of death of 0.226 (95% CI = 0.174 to 0.294) compared to those that did not initiate MOUD, a reduction in mortality from 10% without MOUD to 2% with MOUD.Conclusions: Initiating medication after OUD diagnosis offers the greatest opportunity for intervention to reduce overdose deaths, though efforts to increase retention are also warranted. Analyzing claims data with CoC identifies system functioning for specific populations, and suggests policies and clinical pathways to target for improvement.

We described Medicaid-insured women by receipt of perinatal opioid use disorder (OUD) treatment; and trends and disparities in treatment. Using 2007 to 2012 Medicaid Analytic eXtract data from 45 states and D.C., we identified deliveries among women with OUD. Regressions modeled the association between patient characteristics and receipt of any OUD treatment, medication for OUD (MOUD), and counseling alone during the perinatal period. Rates of any OUD treatment and MOUD for women with perinatal OUD increased over the study period, but trends differed by subgroup. Compared with non-Hispanic White women, Black and American Indian/Alaskan Native (AI/AN) women were less likely to receive any OUD treatment, and Black women were less likely to receive MOUD. Over time, the disparity in receipt of MOUD between Black and White women increased. Overall gains in OUD treatment were driven by improvements in perinatal OUD care for White women and obscured disparities for Black and AI/AN women.

INTRODUCTION: Opioid use disorder has grown rapidly over the years and is a public health crisis in the U.S. Although opioid use disorder is widely studied, relatively little is known about it among older adults. The goal of this study is to gain a better understanding of opioid use disorder among older Medicare beneficiaries over time and across several sociodemographic dimensions. METHODS: Data from the 2013-2018 Centers for Medicare & Medicaid Services Master Beneficiary Summary Files were analyzed in 2020 to examine the trends in opioid use disorder prevalence among Fee-for-Service Medicare beneficiaries aged ≥65 years. Utilizing the overarching opioid use disorder flag, trends in opioid use disorder prevalence were examined for the following sociodemographic dimensions: age, sex, race/ethnicity, and dual eligibility status (i.e., enrolled in both Medicare and Medicaid owing to low income). Chi-square tests were used to compare opioid use disorder prevalence across groups. RESULTS: Since 2013, estimated rates of opioid use disorder among older adults have increased by >3-fold overall in the U.S. Estimated opioid use disorder is more prevalent among the young-old (i.e., ages 65-69 years) beneficiaries than among other older adults, and dually eligible beneficiaries have consistently shared a heavier burden of opioid use disorder than Medicare-only beneficiaries. Regarding race/ethnicity, Blacks and American Indians/Alaskan Natives are more vulnerable to opioid use disorder than other groups. CONCLUSIONS: The descriptive trends between 2013 and 2018 indicate that estimated opioid use disorder prevalence has increased greatly over the study period in all sociodemographic subgroups of older adults, highlighting an urgent challenge for public health professionals and gerontologists.

OBJECTIVE: The authors examined trends in opioid use disorder treatment and in-person and telehealth modalities before and after COVID-19 pandemic onset among patients who had received treatment prepandemic. METHODS: The sample included 13,113 adults with commercial insurance or Medicare Advantage and receiving opioid use disorder treatment between March 2018 and February 2019. Trends in opioid use disorder outpatient treatment, treatment with medications for opioid use disorder (MOUD), and in-person and telehealth modalities were examined 1 year before pandemic onset and 2 years after (March 2019-February 2022). RESULTS: From March 2019 to February 2022, the proportion of patients with opioid use disorder outpatient and MOUD visits declined by 2.8 and 0.3 percentage points, respectively. Prepandemic, 98.6% of outpatient visits were in person; after pandemic onset, at least 34.9% of patients received outpatient care via telehealth. CONCLUSIONS: Disruptions in opioid use disorder outpatient and MOUD treatments were marginal during the pandemic, possibly because of increased telehealth utilization.

IMPORTANCE: Federal and state agencies granted temporary regulatory waivers to prevent disruptions in access to medication for opioid use disorder (MOUD) during the COVID-19 pandemic, including expanding access to telehealth for MOUD. Little is known about changes in MOUD receipt and initiation among Medicaid enrollees during the pandemic. OBJECTIVES: To examine changes in receipt of any MOUD, initiation of MOUD (in-person vs telehealth), and the proportion of days covered (PDC) with MOUD after initiation from before to after declaration of the COVID-19 public health emergency (PHE). DESIGN, SETTING, AND PARTICIPANTS: This serial cross-sectional study included Medicaid enrollees aged 18 to 64 years in 10 states from May 2019 through December 2020. Analyses were conducted from January through March 2022. EXPOSURES: Ten months before the COVID-19 PHE (May 2019 through February 2020) vs 10 months after the PHE was declared (March through December 2020). MAIN OUTCOMES AND MEASURES: Primary outcomes included receipt of any MOUD and outpatient initiation of MOUD via prescriptions and office- or facility-based administrations. Secondary outcomes included in-person vs telehealth MOUD initiation and PDC with MOUD after initiation. RESULTS: Among a total of 8 167 497 Medicaid enrollees before the PHE and 8 181 144 after the PHE, 58.6% were female in both periods and most enrollees were aged 21 to 34 years (40.1% before the PHE; 40.7% after the PHE). Monthly rates of MOUD initiation, representing 7% to 10% of all MOUD receipt, decreased immediately after the PHE primarily due to reductions in in-person initiations (from 231.3 per 100 000 enrollees in March 2020 to 171.8 per 100 000 enrollees in April 2020) that were partially offset by increases in telehealth initiations (from 5.6 per 100 000 enrollees in March 2020 to 21.1 per 100 000 enrollees in April 2020). Mean monthly PDC with MOUD in the 90 days after initiation decreased after the PHE (from 64.5% in March 2020 to 59.5% in September 2020). In adjusted analyses, there was no immediate change (odds ratio [OR], 1.01; 95% CI, 1.00-1.01) or change in the trend (OR, 1.00; 95% CI, 1.00-1.01) in the likelihood of receipt of any MOUD after the PHE compared with before the PHE. There was an immediate decrease in the likelihood of outpatient MOUD initiation (OR, 0.90; 95% CI, 0.85-0.96) and no change in the trend in the likelihood of outpatient MOUD initiation (OR, 0.99; 95% CI, 0.98-1.00) after the PHE compared with before the PHE. CONCLUSIONS AND RELEVANCE: In this cross-sectional study of Medicaid enrollees, the likelihood of receipt of any MOUD was stable from May 2019 through December 2020 despite concerns about potential COVID-19 pandemic-related disruptions in care. However, immediately after the PHE was declared, there was a reduction in overall MOUD initiations, including a reduction in in-person MOUD initiations that was only partially offset by increased use of telehealth.