Receipt of Out-of-State Telemedicine Visits Among Medicare Beneficiaries During the COVID-19 Pandemic.

Importance: Early in the COVID-19 pandemic, states implemented temporary changes allowing physicians without a license in their state to provide care to their residents. There is an ongoing debate at both the federal and state levels on whether to change licensure rules permanently to facilitate out-of-state telemedicine use. Objective: To describe out-of-state telemedicine use during the pandemic. Design, Setting, and Participants: This cross-sectional study of telemedicine visits included all patients with traditional Medicare from January through June 2021. Main Outcomes and Measures: Telemedicine visits from January through June 2021 where the patient's home address and the physician's practice address were in different states. Results: In describing which patients and specialties were using out-of-state telemedicine, we focused on the period between January to June 2021. We chose this period because it was after the turmoil of the early pandemic, when vaccines became widely available and the health care system had stabilized, but before many of the temporary licensing regulations began to lapse by mid-2021. In the first half of 2021, there were 8 392 092 patients with a telemedicine visit and, of these, 422 547 (5.0%) had 1 or more out-of-state telemedicine visits. Those who lived in a county close to a state border (within 15 miles) accounted for 57.2% of all out-of-state telemedicine visits. Among the out-of-state visits in this time period, 64.3% were with a primary care or mental health clinician. For 62.6% of all out-of-state visits, a prior in-person visit occurred between the same patient and clinician between March 2019 and the visit. The demographics and conditions treated were similar for within-state and out-of-state telemedicine visits, with several notable exceptions. Among those with a telemedicine visit, people in rural communities were more likely to receive out-of-state telemedicine care (33.8% vs 21.0%), and there was high of out-of-state telemedicine use for cancer care (9.8% of all telemedicine visits for cancer care). Conclusions and Relevance: The findings of this cross-sectional study suggest that licensure restrictions of out-of-state telemedicine would have had the largest effect on patients who lived near a state border, those in rural locales, and those who received primary care or mental health treatment.

Exploring static and dynamic relationships between burden of disease and research funding in the United States.

BACKGROUND: The relationship between burden of disease and research funding has been examined cross-sectionally, but temporal patterns have not been investigated. It is logical to assume that temporal improvements in disability-adjusted life-years (DALYs) reflect benefits from research funding; such assumptions are tempered by an unknown lag time for emergence of benefits from research. METHODS: We studied National Institutes of Health (NIH) research fund allocations and United States DALY estimates for overlapping disease categories (matched disease categories, MDC, N = 38). Using a general linear model, we separately analysed DALYs for MDCs in 2017 in relation to NIH research allocations in 2017 and 2007. We also examined how changes in DALYs were related to cumulative NIH research funding (2006-2017). After regressing DALY change on summed funding, we obtained model residuals as estimates of the discrepancy for each MDC between observed and expected change in burden, given funding. RESULTS: In 2017, there was a positive association between NIH research fund allocations and DALYs for the same year (F1,36 = 16.087, p = 0.0002921; slope = 0.35020; model R2 = 0.3088), suggesting proportionate allocation. There was a positive association between 2017 DALYs and 2007 NIH research allocation, implying a beneficial impact of research (F1,36 = 15.754, p = 0.0003; slope = 0.8845; model R2 = 0.3044). In contrast, there was a nonsignificant association between summed NIH funding and percent change in DALYs over 2006-2017 (F1,36 = 0.199; p = 0.65; beta coefficient = -1.144). When MDCs were ordered based on residuals, HIV/AIDS ranked first. Mental, neurologic or substance abuse (MNS) disorders comprised most residuals in the lower half. CONCLUSIONS: NIH fund allocation is proportional to DALYs for MDCs. Temporal changes in DALYs vary by MDCs, but they are not significantly related to cumulative research outlays. Further analysis of temporal changes in DALYs could help to inform research outlays for MDCs and to study the impact of research.

New evidence of state variation in Medicaid payment policies for dual Medicare-Medicaid enrollees.

OBJECTIVE: To develop the first longitudinal database of state Medicaid policies for paying the cost sharing in Medicare Part B for services provided to dual Medicare-Medicaid enrollees ("duals") and an index summarizing the impact of these policies on payments for physician office services. DATA SOURCES: Medicaid policy data collected from electronic sources and inquiries with states. STUDY DESIGN: We constructed a national database of Medicaid payment policies for the period 2004-2018, consolidating information from online Medicaid policy documents, state laws, and policy data reported to us by state Medicaid programs. Using this database and state Medicaid fee schedules, we constructed a Medicaid payment index for duals. This index represented the proportion of the Medicare allowed amount that physicians would expect to be paid from Medicare and Medicaid for a subset of physician office services (evaluation and management services) based on annual state payment policies and Medicaid fee schedules. PRINCIPAL FINDINGS: In 2018, 42 states had policies to limit Medicaid payments of Medicare cost sharing when Medicaid's fee schedule was lower than Medicare's-an increase from 36 such states in 2004. In the preponderance of states with these policies, combined Medicare and Medicaid payments for evaluation and management services provided to duals averaged 78 percent of the Medicare allowed amount for these services, reflecting relatively low Medicaid fee schedules in these states. In 2013 and 2014, physicians who qualified for the Affordable Care Act's Medicaid "fee bump" were paid 100 percent of the Medicare allowed amount for these services. CONCLUSIONS: Medicaid programs vary across states and over time in their payments of cost sharing for physician office services provided to duals. Our database and index can facilitate monitoring of these policies and research on the consequences of policy changes for duals.

A task shifting mental health program for an impoverished rural Indian community.

Psychiatric disorders constitute a major source of disability across the globe. In India, individuals with mental disorders are diagnosed and treated inadequately, particularly in under-served rural areas. We implemented and evaluated a psychiatric 'task shifting' program for a rural, marginalized, impoverished South Indian tribal community. The program was added to a pre-existing medical program and utilized community workers to improve health care delivery. Following community wide discussions, health workers were trained to provide community education and to identify and refer individuals with psychiatric problems to a community hospital. Subsequently, they also followed up the psychiatric patients to improve treatment adherence. The program was evaluated through medical records and community surveys. Treated patients experienced significant improvement in daily function (p=0.01). Mean treatment adherence scores remained stable at the beginning and end of treatment, overall. The proportion of self-referrals increased from 27% to 57% over three years. Surveys conducted before and after program initiation also suggested improved knowledge, attitudes and acceptance of mental illness by the community. The annual per capita cost of the program was 122.53 Indian Rupees per person per annum (USD 1.61). In conclusion, the community-driven psychiatric task shifting program was implemented successfully. It was accompanied by positive changes in knowledge, attitudes and practice. Initial community consultations and integration with a pre-existing medical program increased acceptance by the community and reduced costs. We recommend a similar model with integrated medical and psychiatric health care in other resource-deficient communities.