Receipt of Medications for Chronic Disease During the First 2 Years of the COVID-19 Pandemic Among Enrollees in Fee-for-Service Medicare.

Importance: During the first 2 years of the COVID-19 pandemic, inpatient and ambulatory care declined dramatically. Little is known about prescription drug receipt during this period, particularly for populations with chronic illness and with high risk of adverse COVID-19 outcomes and decreased access to care. Objective: To investigate whether receipt of medications was maintained during the first 2 years of the COVID-19 pandemic among older people with chronic diseases, particularly Asian, Black, and Hispanic populations and people with dementia, who faced pandemic-related care disruptions. Design, Setting, and Participants: This cohort study used a 100% sample of US Medicare fee-for-service administrative data from 2019 to 2021 for community-dwelling beneficiaries aged 65 years or older. Population-based prescription fill rates were compared for 2020 and 2021 vs 2019. Data were analyzed from July 2022 to March 2023. Exposure: The COVID-19 pandemic. Main Outcomes and Measures: Age- and sex-adjusted monthly prescription fill rates were calculated for 5 groups of medications commonly prescribed for chronic disease : angiotensin-converting enzyme inhibitors and angiotensin receptor blockers, 3-hydroxy-3-methylglutaryl coenzyme A (HMG CoA) reductase inhibitors (statins), oral diabetes medications, asthma and chronic obstructive pulmonary disease medications, and antidepressants. Measurements were stratified by race and ethnicity group and dementia diagnosis. Secondary analyses measured changes in the proportion of prescriptions dispensed as a 90-day or greater supply. Results: Overall, the mean monthly cohort included 18 113 000 beneficiaries (mean [SD] age, 74.5 [7.4] years; 10 520 000 females [58.1%]; 587 000 Asian [3.2%], 1 069 000 Black [5.9%], 905 000 Hispanic [5.0%], and 14 929 000 White [82.4%]); 1 970 000 individuals (10.9%) were diagnosed with dementia. Across 5 drug classifications, mean fill rates increased by 2.07% (95% CI, 2.01% to 2.12%) in 2020 and decreased by 2.61% (95% CI, -2.67% to -2.56%) in 2021 compared with 2019. Fill rates decreased by less than the mean overall decrease for Black enrollees (-1.42%; 95% CI, -1.64% to -1.20%) and Asian enrollees (-1.05%; 95% CI, -1.36% to -0.77%) and people diagnosed with dementia (-0.38%; 95% CI, -0.54% to -0.23%). The proportion of fills dispensed as 90-day or greater supplies increased during the pandemic for all groups, with an increase per 100 fills of 3.98 fills (95% CI, 3.94 to 4.03 fills) overall. Conclusions and Relevance: This study found that, in contrast to in-person health services, receipt of medications for chronic conditions was relatively stable in the first 2 years of the COVID-19 pandemic overall, across racial and ethnic groups, and for community-dwelling patients with dementia. This finding of stability may hold lessons for other outpatient services during the next pandemic.

The Evolution of Primary Care Telehealth Disparities During COVID-19: Retrospective Cohort Study.

BACKGROUND: Telehealth has become widely used as a novel way to provide outpatient care during the COVID-19 pandemic, but data about telehealth use in primary care remain limited. Studies in other specialties raise concerns that telehealth may be widening existing health care disparities, requiring further scrutiny of trends in telehealth use. OBJECTIVE: Our study aims to further characterize sociodemographic differences in primary care via telehealth compared to in-person office visits before and during the COVID-19 pandemic and determine if these disparities changed throughout 2020. METHODS: We conducted a retrospective cohort study in a large US academic center with 46 primary care practices from April-December 2019 to April-December 2020. Data were subdivided into calendar quarters and compared to determine evolving disparities throughout the year. We queried and compared billed outpatient encounters in General Internal Medicine and Family Medicine via binary logic mixed effects regression model and estimated odds ratios (ORs) with 95% CIs. We used sex, race, and ethnicity of the patient attending each encounter as fixed effects. We analyzed socioeconomic status of patients in the institution's primary county based on the patient's residence zip code. RESULTS: A total of 81,822 encounters in the pre-COVID-19 time frame and 47,994 encounters in the intra-COVID-19 time frame were analyzed; in the intra-COVID-19 time frame, a total of 5322 (11.1%) of encounters were telehealth encounters. Patients living in zip code areas with high utilization rate of supplemental nutrition assistance were less likely to use primary care in the intra-COVID-19 time frame (OR 0.94, 95% CI 0.90-0.98; P=.006). Encounters with the following patients were less likely to be via telehealth compared to in-person office visits: patients who self-identified as Asian (OR 0.74, 95% CI 0.63-0.86) and Nepali (OR 0.37, 95% CI 0.19-0.72), patients insured by Medicare (OR 0.77, 95% CI 0.68-0.88), and patients living in zip code areas with high utilization rate of supplemental nutrition assistance (OR 0.84, 95% CI 0.71-0.99). Many of these disparities persisted throughout the year. Although there was no statistically significant difference in telehealth use for patients insured by Medicaid throughout the whole year, subanalysis of quarter 4 found encounters with patients insured by Medicaid were less likely to be via telehealth (OR 0.73, 95% CI 0.55-0.97; P=.03). CONCLUSIONS: Telehealth was not used equally by all patients within primary care throughout the first year of the COVID-19 pandemic, specifically by patients who self-identified as Asian and Nepali, insured by Medicare, and living in zip code areas with low socioeconomic status. As the COVID-19 pandemic and telehealth infrastructure change, it is critical we continue to reassess the use of telehealth. Institutions should continue to monitor disparities in telehealth access and advocate for policy changes that may improve equity.

Use telehealth as needed: telehealth substitutes in-person primary care and associates with the changes in unplanned events and follow-up visits.

BACKGROUND: Telehealth rapidly expanded since the outbreak of the COVID-19 pandemic. This study aims to understand how telehealth can substitute in-person services by 1) estimating the changes in non-COVID emergency department (ED) visits, hospitalizations, and care costs among US Medicare beneficiaries by visit modality (telehealth vs. in-person) during the COVID-19 pandemic relative to the previous year; 2) comparing the follow-up time and patterns between telehealth and in-person care. METHODS: A retrospective and longitudinal study design using US Medicare patients 65 years or older from an Accountable Care Organization (ACO). The study period was April-December 2020, and the baseline period was March 2019 - February 2020. The sample included 16,222 patients, 338,872 patient-month records and 134,375 outpatient encounters. Patients were categorized as non-users, telehealth only, in-person care only and users of both types. Outcomes included the number of unplanned events and costs per month at the patient level; number of days until the next visit and whether the next visit happened within 3-, 7-, 14- and 30-days at the encounter level. All analyses were adjusted for patient characteristics and seasonal trends. RESULTS: Beneficiaries who used only telehealth or in-person care had comparable baseline health conditions but were healthier than those who used both types of services. During the study period, the telehealth only group had significantly fewer ED visits/hospitalizations and lower Medicare payments than the baseline (ED 13.2, 95% CI [11.6, 14.7] vs. 24.6 per 1,000 patients per month and hospitalization 8.1 [6.7, 9.4] vs. 12.7); the in-person only group had significantly fewer ED visits (21.9 [20.3, 23.5] vs. 26.1) and lower Medicare payments, but not hospitalizations; the both-types group had significantly more hospitalizations (23.0 [21.4, 24.6] vs. 17.8). Telehealth was not significantly different from in-person encounters in number of days until the next visit (33.4 vs. 31.2 days) or the probabilities of 3- and 7-day follow-up visits (9.2 vs. 9.3% and 21.8 vs.23.5%). CONCLUSIONS: Patients and providers treated telehealth and in-person visits as substitutes and used either depending on medical needs and availability. Telehealth did not lead to sooner or more follow-up visits than in-person services.

OPTN/SRTR 2021 Annual Data Report: Deceased Organ Donation.

The Scientific Registry of Transplant Recipients uses data collected by the Organ Procurement and Transplantation Network to calculate metrics such as donation rate, organ yield, and rate of organs recovered for transplant but not transplanted (ie, nonuse). In 2021, there were 13,862 deceased donors, a 10.1% increase from 12,588 in 2020, and an increase from 11,870 in 2019; this number has been increasing since 2010. The number of deceased donor transplants increased to 41,346 transplants in 2021, a 5.9% increase from 39,028 in 2020; this number has been increasing since 2012. The increase may be due in part to the rising number of deaths of young people amid the ongoing opioid epidemic. The number of organs transplanted included 9,702 left kidneys, 9,509 right kidneys, 551 en bloc kidneys, 964 pancreata, 8,595 livers, 96 intestines, 3,861 hearts, and 2,443 lungs. Compared with 2019, transplants of all organs except lungs increased in 2021, which is remarkable as this occurred despite the COVID-19 pandemic. In 2021, 2,951 left kidneys, 3,149 right kidneys, 184 en bloc kidneys, 343 pancreata, 945 liver, 1 intestine, 39 hearts, and 188 lungs were not used. These numbers suggest an opportunity to increase numbers of transplants by reducing nonused organs. Despite the pandemic, there was no dramatic increase in number of nonused organs and there was an increase in total numbers of donors and transplants. The new Centers for Medicare & Medicaid Services metrics for donation rate and transplant rate have also been described and vary across organ procurement organizations; the donation rate metric varied from 5.82 to 19.14 and the transplant rate metric varied from 18.7 to 60.0.

Regulation of provider networks in response to COVID-19.

In public health insurance programs, federal and state regulators use network adequacy standards to ensure that health plans provide enrollees with adequate access to care. These standards are based on provider availability, anticipated enrollment, and patterns of care delivery. We anticipate that the coronavirus disease 2019 pandemic will have 3 main effects on provider networks and their regulation: enrollment changes, changes to the provider landscape, and changes to care delivery. Regulators will need to ensure that plans adjust their network size should there be increased enrollment or increased utilization caused by forgone care. Regulators will also require updated monitoring data and plan network data that reflect postpandemic provider availability. Telehealth will have a larger role in care delivery than in the prepandemic period, and regulators will need to adapt network standards to accommodate in-person and virtual care delivery.

COVID-19 vaccination telephone outreach: an analysis of the medical student experience.

INTRODUCTION: The COVID-19 pandemic diminished opportunities for medical students to gain clinical confidence and the ability to contribute to patient care. Our study sought out to understand the value of telephone outreach to schedule COVID-19 vaccines on medical student education. MATERIALS AND METHODS: Forty students engaged in telephone outreach targeting patients aged 65+ without active patient portals to schedule COVID-19 vaccines. Data consisted of a single administration retrospective pre/post survey inquiring about what students learned, expectations, other health-care processes that would benefit from outreach, and interest in a population health elective. Likert items were analyzed and open response analysis involved inductive coding and generation of thematic summaries by condensing codes into broader themes. Demographic data of patients called and subsequently received the vaccine were also collected. RESULTS: There were 33 survery respondents. There was a statistically significant increase in net comfortability for pre-clerkship students for documenting in Epic, providing telehealth care, counseling on common health-care myths, having challenging conversations, cold-calling patients, and developing an initial trusting relationship with patients. The majority called and who received the vaccine were non-Hispanic Black, within the high SVI category, and had Medicare and/or Medicaid. Qualitative data showed that students emphasized communication, the role of trusted messengers, the need to be open minded, and meeting patients where they are. DISCUSSION: Engaging students in telephone outreach early in the COVID-19 pandemic provided students the opportunity to develop their skills as physicians-in-training, contribute to combating the ongoing pandemic, and add value to the primary care team. This experience allowed students to practice patience, empathy, and vulnerability to understand why patients had not received the COVID-19 vaccine; this was an invaluable experience that helped students develop the skills to become empathetic and caring physicians, and supports the continued role of telehealth in future medical school curriculum.

Spatial and racial covid-19 disparities in U.S. nursing homes.

In many parts of the world nursing home residents have experienced a disproportionate risk of exposure to COVID-19 and have died at much higher rates than other groups. There is a critical need to identify the factors driving COVID-19 risk in nursing homes to better understand and address the conditions contributing to their vulnerability during public health crises. This study investigates the characteristics associated with COVID-19 cases and deaths among residents in U.S. nursing homes from 2020 to 2021, with a focus on geospatial and racial inequalities. Using data from the Centers for Medicare and Medicaid Services and LTCFocus, this paper uses zero-inflated negative binomial regression models, Kruskal-Wallis tests, and Local Moran's I to generate statistical and geospatial results. Our analysis reveals that majority Hispanic facilities have alarmingly high COVID-19 cases and deaths, suggesting that these facilities have the greatest need for policy improvements in staffing and financing to reduce racial inequalities in nursing home care. At the same time we also detect COVID-19 hot spots in rural areas with predominately White residents, indicating a need to rethink public messaging strategies in these areas. The top states with COVID-19 hot spots are Kentucky, Pennsylvania, Illinois, and Oklahoma. This research provides new insights into the socio-spatial contexts and inequities that contribute to the vulnerability of nursing home residents during a pandemic.

State Variation in the Utilization of Nurse Practitioner-Provided Home-Based Primary Care: A Medicare Claims Analysis.

Nurse practitioners (NPs) provide an increasing proportion of home-based primary care, despite restrictive scope of practice laws in approximately one half of states. We examined the relationship between scope of practice laws and state volume of NP-provided home-based primary care by performing an analysis of 2018 to 2019 Medicare claims. For each state we calculated the proportion of total home-based primary care visits by NPs and the proportion of all NPs providing home-based primary care. We used the 2018 American Association of Nurse Practitioners classification of state practice environment. We performed chi-square tests to assess the significance between volume and practice environment. We found that 42% of home-based primary care is delivered by NPs nationally, but substantial variation exists across states. We did not find a discernible or statistically significant pattern of uptake of NP-provided home-based primary care across full, reduced, or restricted states. [Journal of Gerontological Nursing, 49(5), 11-17.].

Why Did New York State Hospitals Rank So Poorly?

BACKGROUND: According to the Centers for Medicare and Medicaid Services star ratings, New York State (NYS) hospitals are relatively poor performers, with 33% achieving 1 star compared with 5% of hospitals across the United States. OBJECTIVES: We compared NYS hospitals to all United States hospitals using Centers for Medicare and Medicaid Services Hospital Value-Based Purchasing (HVBP) and star ratings component measures. We perform risk adjustment for hospital and market characteristics associated poor performance. RESEARCH DESIGN: This was a cross-sectional observational study. SUBJECTS: All acute care hospitals in the United States which had HVBP scores for 2019 in April 21, 2021, Hospital Care Compare database. MEASURES: Analysis of variance was used to compare NYS hospitals to all United States hospitals. Multivariable-based risk adjustment was applied to NYS hospitals with adjustment for hospital characteristics (eg, occupancy, size), hospital fiscal ratios (eg, operating margin), and market characteristics (eg, percent of hospital market that has a high school diploma). RESULTS: NYS hospitals averaged lower patient satisfaction and higher readmissions. These domains were statistically significantly associated with lower socioeconomic status in the hospital market area. Risk adjustment reduced but did not eliminate these differences. NYS also performed poorly on pressure ulcers and deep vein thrombosis/pulmonary embolism prevention. NYS hospitals were similar to the United States in mortality and hospital-acquired infections. CONCLUSIONS: Differences in the demographic makeup of hospital markets account for some of the poor performance of NYS hospitals. Some aspects, such as long length of stay, may be associated with wider regional trends.

Care Disruption During COVID-19: a National Survey of Hospital Leaders.

BACKGROUND: The COVID-19 pandemic caused massive disruption in usual care delivery patterns in hospitals across the USA, and highlighted long-standing inequities in health care delivery and outcomes. Its effect on hospital operations, and whether the magnitude of the effect differed for hospitals serving historically marginalized populations, is unknown. OBJECTIVE: To investigate the perspectives of hospital leaders on the effects of COVID-19 on their facilities' operations and patient outcomes. METHODS: A survey was administered via print and electronic means to hospital leaders at 588 randomly sampled acute-care hospitals participating in Medicare's Inpatient Prospective Payment System, fielded from November 2020 to June 2021. Summary statistics were tabulated, and responses were adjusted for sampling strategy and non-response. RESULTS: There were 203 responses to the survey (41.6%), with 20.7% of respondents representing safety-net hospitals and 19.7% representing high-minority hospitals. Over three-quarters of hospitals reported COVID testing shortages, about two-thirds reported staffing shortages, and 78.8% repurposed hospital spaces to intensive care units, with a slightly higher proportion of high-minority hospitals reporting these effects. About half of respondents felt that non-COVID inpatients received worsened quality or outcomes during peak COVID surges, and almost two-thirds reported worsened quality or outcomes for outpatient non-COVID patients as well, with few differences by hospital safety-net or minority status. Over 80% of hospitals participated in alternative payment models prior to COVID, and a third of these reported decreasing these efforts due to the pandemic, with no differences between safety-net and high-minority hospitals. CONCLUSIONS: COVID-19 significantly disrupted the operations of hospitals across the USA, with hospitals serving patients in poverty and racial and ethnic minorities reporting relatively similar care disruption as non-safety-net and lower-minority hospitals.

Prevalence and characteristics of long COVID in elderly patients: An observational cohort study of over 2 million adults in the US.

BACKGROUND: Incidence of long COVID in the elderly is difficult to estimate and can be underreported. While long COVID is sometimes considered a novel disease, many viral or bacterial infections have been known to cause prolonged illnesses. We postulate that some influenza patients might develop residual symptoms that would satisfy the diagnostic criteria for long COVID, a condition we call "long Flu." In this study, we estimate the incidence of long COVID and long Flu among Medicare patients using the World Health Organization (WHO) consensus definition. We compare the incidence, symptomatology, and healthcare utilization between long COVID and long Flu patients. METHODS AND FINDINGS: This is a cohort study of Medicare (the US federal health insurance program) beneficiaries over 65. ICD-10-CM codes were used to capture COVID-19, influenza, and residual symptoms. Long COVID was identified by (a) the designated long COVID code B94.8 (code-based definition), or (b) any of 11 symptoms identified in the WHO definition (symptom-based definition), from 1 to 3 months post-infection. A symptom would be excluded if it occurred in the year prior to infection. Long Flu was identified in influenza patients from the combined 2018 and 2019 Flu seasons by the same symptom-based definition for long COVID. Long COVID and long Flu were compared in 4 outcome measures: (a) hospitalization (any cause); (b) hospitalization (for long COVID symptom); (c) emergency department (ED) visit (for long COVID symptom); and (d) number of outpatient encounters (for long COVID symptom), adjusted for age, sex, race, region, Medicare-Medicaid dual eligibility status, prior-year hospitalization, and chronic comorbidities. Among 2,071,532 COVID-19 patients diagnosed between April 2020 and June 2021, symptom-based definition identified long COVID in 16.6% (246,154/1,479,183) and 29.2% (61,631/210,765) of outpatients and inpatients, respectively. The designated code gave much lower estimates (outpatients 0.49% (7,213/1,479,183), inpatients 2.6% (5,521/210,765)). Among 933,877 influenza patients, 17.0% (138,951/817,336) of outpatients and 24.6% (18,824/76,390) of inpatients fit the long Flu definition. Long COVID patients had higher incidence of dyspnea, fatigue, palpitations, loss of taste/smell, and neurocognitive symptoms compared to long Flu. Long COVID outpatients were more likely to have any-cause hospitalization (31.9% (74,854/234,688) versus 26.8% (33,140/123,736), odds ratio 1.06 (95% CI 1.05 to 1.08, p < 0.001)), and more outpatient visits than long Flu outpatients (mean 2.9(SD 3.4) versus 2.5(SD 2.7) visits, incidence rate ratio 1.09 (95% CI 1.08 to 1.10, p < 0.001)). There were less ED visits in long COVID patients, probably because of reduction in ED usage during the pandemic. The main limitation of our study is that the diagnosis of long COVID in is not independently verified. CONCLUSIONS: Relying on specific long COVID diagnostic codes results in significant underreporting. We observed that about 30% of hospitalized COVID-19 patients developed long COVID. In a similar proportion of patients, long COVID-like symptoms (long Flu) can be observed after influenza, but there are notable differences in symptomatology between long COVID and long Flu. The impact of long COVID on healthcare utilization is higher than long Flu.

Class II/III Obesity Prevalence in Residents of US Nursing Homes: Cross-sectional Study and Forecasting 2030 with COVID-19 Perspective.

OBJECTIVES: This study aimed to better understand Class II/III obesity prevalence trends among older adults residing in nursing homes (NH) nationwide. METHODS: Our retrospective cross-sectional study evaluated Class II/III obesity (BMI ≥35 kg/m²) prevalence among NH residents in two independent national NH cohorts. We used databases from Veterans Administration NHs called Community Living Centers (CLCs) covering 7 years to 2022, and Rhode Island Medicare data covering 20 years ending in 2020. We also performed forecasting regression analysis of obesity trends. RESULTS: While VA CLC resident obesity prevalence was less overall and dipped during the COVID-19 pandemic, obesity prevalence increased in NH residents in both cohorts over the last decade and is predicted to do so through 2030. CONCLUSION: Obesity prevalence in NHs is on the rise. It will be important to understand clinical, functional, and financial implications for NHs, particularly if predictions on increases materialize.

Telehealth and Medicare Type 2 Diabetes Care Outcomes: Evidence From Louisiana.

BACKGROUND: At the onset of the COVID-19 pandemic, the Centers for Medicare and Medicaid Services broadened access to telehealth. This provided an opportunity to test whether diabetes, a risk factor for COVID-19 severity, can be managed with telehealth services. OBJECTIVE: The objective of this study was to examine the impacts of telehealth on diabetes control. RESEARCH DESIGN: A doubly robust estimator combined a propensity score-weighting strategy with regression controls for baseline characteristics using electronic medical records data to compare outcomes in patients with and without telehealth care. Matching on preperiod trajectories in outpatient visits and weighting by odds were used to ensure comparability between comparators. SUBJECTS: Medicare patients with type 2 diabetes in Louisiana between March 2018 and February 2021 (9530 patients with a COVID-19 era telehealth visit and 20,666 patients without one). MEASURES: Primary outcomes were glycemic levels and control [ie, hemoglobin A1c (HbA1c) under 7%]. Secondary outcomes included alternative HbA1c measures, emergency department visits, and inpatient admissions. RESULTS: Telehealth was associated with lower pandemic era mean A1c values [estimate=-0.080%, 95% confidence interval (CI): -0.111% to -0.048%], which translated to an increased likelihood of having HbA1c in control (estimate=0.013; 95% CI: 0.002-0.024; P<0.023). Hispanic telehealth users had relatively higher COVID-19 era HbA1c levels (estimate=0.125; 95% CI: 0.044-0.205; P<0.003). Telehealth was not associated with differences in the likelihood of having an emergency department visits (estimate=-0.003; 95% CI: -0.011 to 0.004; P<0.351) but was associated with more the likelihood of having an inpatient admission (estimate=0.024; 95% CI: 0.018-0.031; P<0.001). CONCLUSION: Telehealth use among Medicare patients with type 2 diabetes in Louisiana stemming from the COVID-19 pandemic was associated with relatively improved glycemic control.

Application of lean principles in a medicare insurance counseling service learning course.

BACKGROUND: Lean principles are increasingly applied in healthcare to improve quality and cost. A service-learning course providing Medicare insurance counseling requiring rapid transformation due to the COVID-19 pandemic provided an opportunity for pharmacy students to apply lean skills. EDUCATIONAL ACTIVITY: Students, already introduced to lean skills earlier in their curriculum, enrolled in the insurance education certificate during their third year in Fall 2020. Students were oriented to the mandated service delivery restrictions. After a review of lean principles, students analyzed existing process for in-person counseling using a value-stream map. Students worked in teams to complete a cause analysis and develop solutions. Collaboratively, students clarified the value of the Medicare insurance counseling services to the community, adapted these components to accommodate environmental risk, and developed standard work for client acquisition, communication procedures, and service delivery to optimize client satisfaction and safety. Outcomes compared before and after application of lean skills included number of pharmacy students completing insurance counselor training, number of clients counseled, and the mean out-of-pocket savings identified for Medicare beneficiaries. FINDINGS: Students applied lean skills to transform an insurance counseling service by developing and implementing a future state value-stream map and new standard work. Overall Medicare insurance counseling service metrics decreased compared to previous years, but the service was sustained despite pandemic restrictions. Application of lean skills and service redesign provided a method for students to provide services via telepharmacy. Application of lean principles increased student engagement with the course and provided an opportunity to practice quality improvement skills. Lean provides a flexible set of skills that can be introduced and applied in different pharmacy instructional settings.

Provision of telemental health before and after COVID-19 onset.

OBJECTIVES: To examine the organizational characteristics associated with telemedicine services provided by mental health care organizations before and after onset of the COVID-19 pandemic in the United States. STUDY DESIGN: Using 2019-2020 National Mental Health Services Survey data, we assessed changes in provisions of telemedicine services by mental health care facilities before and after onset of the COVID-19 pandemic. METHODS: We estimated multivariable logistic regression models comparing pre- vs postpandemic changes in prevalence of telemedicine offered by mental health care facilities. We incorporated mental health care organizations' characteristics, including facility type, accepted payment, geography, and language service provisions, as well as state-level policies, such as payment parity laws, shelter-in-place laws, and number of COVID-19 cases. RESULTS: Mental health care facilities had 4 times the odds (odds ratio [OR], 4.3; 95% CI, 4.09-4.61)​​ of telemedicine provision post pandemic in 2020 compared with prepandemic in 2019. In 2020, facilities that accepted Medicaid (OR, 1.3; 95% CI, 1.11-1.49) and Medicare (OR, 1.3; 95% CI, 1.14-1.39) were more likely to provide telemedicine than those that did not. Facilities that offered American Sign Language (OR, 1.3; 95% CI, 1.16-1.43) and non-English language services (OR, 1.3; 95% CI, 1.15-1.44) were more likely to provide telemedicine than facilities that did not. Facilities located in states with payment parity laws (OR, 1.2; 95% CI, 1.11-1.36) were more likely to offer telemedicine than states without. CONCLUSIONS: Telemedicine availability in mental health facilities has expanded post COVID-19 pandemic, but telemedicine provision has been uneven across organizational and state-level factors. Expansion of regional investments and payment parity might be necessary to ensure equitable provision of telemedicine.

Why getting tele-behavioral health policy right is so important for Medicare.

Given the seismic shift of the behavioral health care delivery system to virtual care since the COVID-19 pandemic, as well as the growing need for these services, policy decisions around tele-behavioral health are ones that Congress and the administration must address in order to close the gap between what Americans need and what services are available. The Bipartisan Policy Center (BPC) took an in-depth look at the use of telehealth services by traditional Medicare beneficiaries during the COVID-19 pandemic. Based on the results, we offer our conclusions and recommendations for the future. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Trends in sepsis and pneumonia during COVID-19: lessons from BPCIA.

OBJECTIVES: The COVID-19 pandemic affected care delivery nationwide for all patients, influencing cost and utilization for patients both with and without COVID-19. Our first analysis assessed changes in utilization for patients with sepsis without COVID-19 prior to vs during the pandemic. Our second analysis assessed cost and utilization changes during the pandemic for patients with sepsis or pneumonia both with and without COVID-19. STUDY DESIGN: A retrospective case-control study was utilized to determine differences in cost and utilization for patients with sepsis or pneumonia, relative to a COVID-19 diagnosis. METHODS: Claims data from 8 teaching hospitals participating in sepsis and pneumonia episodes in the Bundled Payments for Care Improvement Advanced (BPCIA) model were utilized. BPCIA is a Medicare value-based care bundled payment program that aims to decrease costs and increase quality of care through a 90-day total cost of care model. RESULTS: The first analysis (N = 1092) found that non-COVID-19 patients with sepsis had 26% higher hospice utilization (P < .05) and 38% higher mortality (P < .0001) during the pandemic vs the prepandemic period. The second analysis (N = 640) found that during the pandemic, patients with sepsis or pneumonia with COVID-19 had 70% more skilled nursing facility (SNF) use (P < .0001), 132% higher SNF costs (P < .0001), and 21% higher total episode costs (P < .0001) compared with patients without COVID-19. CONCLUSIONS: COVID-19 has affected care patterns for all patients. Patients without COVID-19 postponed care and used lower-acuity care settings, whereas patients with COVID-19 were more costly and utilized postacute care at a higher rate. These analyses inform future care coordination initiatives, given the ongoing pandemic.

HCV universal EHR prompt successfully increases screening, highlights potential disparities.

BACKGROUND & OBJECTIVES: Screening for hepatitis C virus is the first critical decision point for preventing morbidity and mortality from HCV cirrhosis and hepatocellular carcinoma and will ultimately contribute to global elimination of a curable disease. This study aims to portray the changes over time in HCV screening rates and the screened population characteristics following the 2020 implementation of an electronic health record (EHR) alert for universal screening in the outpatient setting in a large healthcare system in the US mid-Atlantic region. METHODS: Data was abstracted from the EHR on all outpatients from 1/1/2017 through 10/31/2021, including individual demographics and their HCV antibody (Ab) screening dates. For a limited period centered on the implementation of the HCV alert, mixed effects multivariable regression analyses were performed to compare the timeline and characteristics of those screened and un-screened. The final models included socio-demographic covariates of interest, time period (pre/post) and an interaction term between time period and sex. We also examined a model with time as a monthly variable to look at the potential impact of COVID-19 on screening for HCV. RESULTS: Absolute number of screens and screening rate increased by 103% and 62%, respectively, after adopting the universal EHR alert. Patients with Medicaid were more likely to be screened than private insurance (ORadj 1.10, 95% CI: 1.05, 1.15), while those with Medicare were less likely (ORadj 0.62, 95% CI: 0.62, 0.65); and Black (ORadj 1.59, 95% CI: 1.53, 1.64) race more than White. CONCLUSIONS: Implementation of universal EHR alerts could prove to be a critical next step in HCV elimination. Those with Medicare and Medicaid insurance were not screened proportionately to the national prevalence of HCV in these populations. Our findings support increased screening and re-testing efforts for those at high risk of HCV.