Association between broadband capacity and telehealth utilization among Medicare Fee-for-service beneficiaries during the COVID-19 pandemic.

BACKGROUND: Telehealth is a rapidly growing modality for expanding healthcare access, especially in the post-COVID-19 era. However, telehealth requires high-quality broadband, thus making broadband a social determinant of health. The objective of this study was to evaluate the association between broadband access and telehealth utilization across the United States during the COVID-19 pandemic. METHODS: Using a cross-sectional, ecological study design, we merged county-level data on broadband capacity (Microsoft's Rural Broadband Initiative), telehealth utilization among Medicare Fee-for-Service beneficiaries from January through September 2020 (CareJourney), and county-level socioeconomic characteristics (Area Health Resources Files). Multivariable linear regression was used to estimate the association between broadband capacity, county-level characteristics, and telehealth utilization. RESULTS: Among the 3107 counties, those with the greatest broadband availability (quintile 5) had 47% higher telehealth utilization compared to counties with the least broadband availability (quintile 1). In the adjusted model, a 1 standard deviation (SD) increase in broadband access was associated with a 1.54 percentage point (pp) increase in telehealth utilization (P < 0.001). Rural county designation (-1.96 pp; P < 0.001) and 1 SD increases in average Medicare beneficiary age (-1.34 pp; P = 0.001), number of nursing home beds per 1000 individuals (-0.38 pp; P = 0.002), and proportion of Native Americans/Pacific Islanders (-0.59 pp; P < 0.001) were associated with decreased telehealth utilization. CONCLUSION: The association between broadband access and telehealth utilization and the decreased telehealth utilization in rural areas highlight the importance of broadband access for healthcare access and the need to continue investing in broadband infrastructure to promote equitable healthcare access across populations.

A digital divide in the COVID-19 pandemic: information exchange among older Medicare beneficiaries and stakeholders during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic resulted in unprecedented challenges for older adults. Medicare enrollment was already an overwhelming process for a high fraction of older adults pre-pandemic. Therefore, the purpose of this qualitative study was to gain understanding from community organizations and stakeholders about their pre-pandemic and during-pandemic experiences while adapting to continue offering insurance advice to seniors, what resources are available to seniors, and what needs to be done to help seniors make higher quality insurance choices in the Medicare program. In addition, we wanted to explore how the COVID-19 pandemic may have changed the ways that these stakeholders interacted with Medicare beneficiaries. METHODS: We employed a qualitative strategy to gain a deep understanding of the challenges that these organizations may have faced while offering advice/counseling to older adults. We accomplished this by interviewing a group of 30 stakeholders from different states. RESULTS: Every stakeholder mentioned that some older adults have difficulty making Medicare decisions, and 16 stakeholders mentioned that their system is complex and/or overwhelming for older adults. Twenty-three stakeholders mentioned that Medicare beneficiaries are often confused about Medicare, and this is more noticeable among new enrollees. With the onset of the pandemic, 22 of these organizations mentioned that they had to move to a virtual model in order to assist beneficiaries, especially at the beginning of the pandemic. However, older adults seeking advice/meetings have a strong preference for in-person meetings even during the pandemic. Given that the majority of the beneficiaries that these stakeholders serve may not have access to technology, it was difficult for some of them to smoothly transition to a virtual environment. With Medicare counseling moving to virtual or telephone methods, stakeholders discussed that many beneficiaries had difficulty utilizing these options in a variety of ways. CONCLUSIONS: Findings from our interviews with stakeholders provided information regarding experiences providing Medicare counseling pre- and during-COVID-19 pandemic. Some of the barriers faced by older adults included a complex and overwhelming system, a strong preference for in-person meetings among beneficiaries, challenges with technology, and an increased risk of information overload and misinformation. While bias may exist within the study and sample, given that technology-savvy beneficiaries may not seek help from organizations our study participants work in, they show how the current Medicare system may impact vulnerable older adults who may need support with access to high-speed internet and digital literacy.

Expanding Medical Surge Capacity to Counteract COVID-19: South Korea's Medical Fee Adjustment Through the National Health Insurance System.

Background: South Korea has utilized its National Health Insurance (NHI) system to adjust the medical fees payable for healthcare services, to financially support the frontline healthcare providers combating COVID-19. This study evaluated the composition of such adjustments to the medical fees-made to secure resource surge capacity against the pandemic-in South Korea. Methods: Descriptive statistics and schematization were employed to analyze 3,612,640 COVID-19-related NHI claims from January 1, 2020, to June 30, 2021. COVID-19 suspected and confirmed cases were evaluated based on the proportion of fees adjustment, classified into space, staff, or stuff (3S) using diagnosis codes. The proportion of fees adjustment was investigated in terms of the healthcare expenditure, number of patients, and number of healthcare services covered. Findings: First, in terms of cost, medical fee adjustments covered over 96% of the total costs arising from the increased demand for testing (stuff) and isolated spaces among patients suspected of having COVID-19. Second, medical fees were adjusted to cover over 80% of the cost attributable to COVID-19 confirmed cases, in relation to isolated spaces and medical staff support. Third, the adjustment of less than 10% of the various types of medical fees, if selected strategically, can effectively induce a surge in resource capacity. Interpretation: South Korea has improved its existing surge capacity by adjusting the medical fees payable through NHI to healthcare providers. Particularly, through the provider payment system of fee-for-service, the Korean government could prevent the spread of infection and protect the medical staff assigned to respond to COVID-19. However, additional studies on alternative payment systems are needed to control costs while maintaining an effective pandemic response system in the face of the prolonged COVID-19 outbreak.

Enriching the American Heart Association COVID-19 Cardiovascular Disease Registry Through Linkage With External Data Sources: Rationale and Design.

Background The AHA Registry (American Heart Association COVID-19 Cardiovascular Disease Registry) captures detailed information on hospitalized patients with COVID-19. The registry, however, does not capture information on social determinants of health or long-term outcomes. Here we describe the linkage of the AHA Registry with external data sources, including fee-for-service (FFS) Medicare claims, to fill these gaps and assess the representativeness of linked registry patients to the broader Medicare FFS population hospitalized with COVID-19. Methods and Results We linked AHA Registry records of adults ≥65 years from March 2020 to September 2021 with Medicare FFS claims using a deterministic linkage algorithm and with the American Hospital Association Annual Survey, Rural Urban Commuting Area codes, and the Social Vulnerability Index using hospital and geographic identifiers. We compared linked individuals with unlinked FFS beneficiaries hospitalized with COVID-19 to assess the representativeness of the AHA Registry. A total of 10 010 (47.0%) records in the AHA Registry were successfully linked to FFS Medicare claims. Linked and unlinked FFS beneficiaries were similar with respect to mean age (78.1 versus 77.9, absolute standardized difference [ASD] 0.03); female sex (48.3% versus 50.2%, ASD 0.04); Black race (15.1% versus 12.0%, ASD 0.09); dual-eligibility status (26.1% versus 23.2%, ASD 0.07); and comorbidity burden. Linked patients were more likely to live in the northeastern United States (35.7% versus 18.2%, ASD 0.40) and urban/metropolitan areas (83.9% versus 76.8%, ASD 0.18). There were also differences in hospital-level characteristics between cohorts. However, in-hospital outcomes were similar (mortality, 23.3% versus 20.1%, ASD 0.08; home discharge, 45.5% versus 50.7%, ASD 0.10; skilled nursing facility discharge, 24.4% versus 22.2%, ASD 0.05). Conclusions Linkage of the AHA Registry with external data sources such as Medicare FFS claims creates a unique and generalizable resource to evaluate long-term health outcomes after COVID-19 hospitalization.

Pricing through health apps generated data-Digital dividend as a game changer: Discrete choice experiment

Objectives: The objective of this paper is to study under which circumstances wearable and health app users would accept a compensation payment, namely a digital dividend, to share their self-tracked health data. Methods: We conducted a discrete choice experiment alternative, a separated adaptive dual response. We chose this approach to reduce extreme response behavior, considering the emotionally-charged topic of health data sales, and to measure willingness to accept. Previous experiments in lab settings led to demands for high monetary compensation. After a first online survey and two pre-studies, we validated four attributes for the final online study: monthly bonus payment, stakeholder handling the data (e.g., health insurer, pharmaceutical or medical device companies, universities), type of data, and data sales to third parties. We used a random utility framework to evaluate individual choice preferences. To test the expected prices of the main study for robustness, we assigned respondents randomly to one of two identical questionnaires with varying price ranges. Results: Over a period of three weeks, 842 respondents participated in the main survey, and 272 respondents participated in the second survey. The participants considered transparency about data processing and no further data sales to third parties as very important to the decision to share data with different stakeholders, as well as adequate monetary compensation. Price expectations resulting from the experiment were high;pharmaceutical and medical device companies would have to pay an average digital dividend of 237.30/month for patient generated health data of all types. We also observed an anchor effect, which means that people formed price expectations during the process and not ex ante. We found a bimodal distribution between relatively low price expectations and relatively high price expectations, which shows that personal data selling is a divisive societal issue. However, the results indicate that a digital dividend could be an accepted economic incentive system to gather large-scale, self-tracked data for research and development purposes. After the COVID-19 crisis, price expectations might change due to public sensitization to the need for big data research on patient generated health data. Conclusion: A continuing success of existing data donation models is highly unlikely. The health care sector needs to develop transparency and trust in data processing. An adequate digital dividend could be an effective long-term measure to convince a diverse and large group of people to share high-quality, continuous data for research purposes. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

Practice Management Strategies Among Current Members of the American Association of Hip and Knee Surgeons.

BACKGROUND: A survey was conducted at the 2021 Annual Meeting of the American Association of Hip and Knee Surgeons (AAHKS) to evaluate current practice management strategies among AAHKS members. METHODS: An application was used by AAHKS members to answer both multiple-choice and yes or no questions. Specific questions were asked regarding the impact of COVID-19 pandemic on practice patterns. RESULTS: There was a dramatic acceleration in same day total joint arthroplasty with 85% of AAHKS members performing same day total joint arthroplasty. More AAHKS members remain in private practice (46%) than other practice types, whereas fee for service (34%) and relative value units (26%) are the major form of compensation. At the present time, 93% of practices are experiencing staffing shortages, and these shortages are having an impact on surgical volume. CONCLUSION: This survey elucidates the current practice patterns of AAHKS members. The pandemic has had a significant impact on some aspects of practice activity. Future surveys need to monitor changes in practice patterns over time.

ICD-10 anaphylaxis algorithm and the estimate of vaccine-attributable anaphylaxis incidence in Medicare.

BACKGROUND: Anaphylaxis is a rare, serious allergic reaction. Its identification in large healthcare databases can help better characterize this risk. OBJECTIVE: To create an ICD-10 anaphylaxis algorithm, estimate its positive predictive values (PPVs) in a post-vaccination risk window, and estimate vaccination-attributable anaphylaxis rates in the Medicare Fee For Service (FFS) population. METHODS: An anaphylaxis algorithm with core and extended portions was constructed analyzing ICD-10 anaphylaxis claims data in Medicare FFS from 2015 to 2017. Cases of post-vaccination anaphylaxis among Medicare FFS beneficiaries were then identified from October 1, 2015 to February 28, 2019 utilizing vaccine relevant anaphylaxis ICD-10 codes. Information from medical records was used to determine true anaphylaxis cases based on the Brighton Collaboration's anaphylaxis case definition. PPVs were estimated for incident anaphylaxis and the subset of vaccine-attributable anaphylaxis within a 2-day post-vaccination risk window. Vaccine-attributable anaphylaxis rates in Medicare FFS were also estimated. RESULTS: The study recorded 66,572,128 vaccinations among 21,685,119 unique Medicare FFS beneficiaries. The algorithm identified a total of 190 suspected anaphylaxis cases within the 2-day post-vaccination window; of these 117 (62%) satisfied the core algorithm, and 73 (38%) additional cases satisfied the extended algorithm. The core algorithm's PPV was 66% (95% CI [56%, 76%]) for identifying incident anaphylaxis and 44% (95% CI [34%, 56%]) for vaccine-attributable anaphylaxis. The vaccine-attributable anaphylaxis incidence rate after any vaccination was 0.88 per million doses (95% CI [0.67, 1.16]). CONCLUSION: The ICD-10 claims algorithm for anaphylaxis allows the assessment of anaphylaxis risk in real-world data. The algorithm revealed vaccine-attributable anaphylaxis is rare among vaccinated Medicare FFS beneficiaries.

Heeding the Call for Urgent Primary Care Payment Reform: What Do We Know about How to Get Started?

The COVID-19 pandemic has added further urgency to the need for primary care payment reform. Fee-for-service payments limit the flexibility of practices to respond to crises and leave practices without sufficient revenues when visit volumes decrease. Historic fee-for-service payments have been inadequate, and prior implementations of prospective payments have encountered challenges; there is a need to bring forward the best available evidence on how to design prospective payments for payers and policymakers. Evidence suggests setting primary care investment at 10% to 12% of the total cost of care, approximately translating to an average $85 per member per month, with significant variation based on age and adjustment for medical and social measures of risk. Enhanced investment in primary care should be aligned across payers and support practice transformation to advanced models of care.

Launching a Statewide COVID-19 Primary Care Hotline and Telemedicine Service.

To respond to the COVID-19 pandemic and recover from its aftermath, primary care teams will face waves of overwhelming demand for information and the need to significantly transform care delivery. INNOVATION: Oregon Health & Science University's primary care team envisioned and implemented the COVID-19 Connected Care Center, a statewide telephone "hotline" service. RESULTS: The hotline has taken more than 5825 calls from patients in 33 of Oregon's 36 counties in less than 3 months. In preliminary survey data, 86% of patients said their questions were answered during the call, 90% would recommend this service, and 70% reported a reduction in stress levels about coronavirus. In qualitative interviews, patients reported their questions answered, short wait times, nurses spent time as needed, and appropriate follow-up was arranged. CONCLUSION: Academic health centers may have the capacity to leverage their extensive resources to rapidly launch a multiphased pandemic response that meets peoples' need for information and access to primary care, while minimizing risk of infection and emergency department use and rapidly supporting primary care teams to make the necessary operational changes to do the same in their communities. Such efforts require external funding in a fee-for-service payment model.

Primary Care Practice Finances In The United States Amid The COVID-19 Pandemic.

As a result of the coronavirus disease 2019 (COVID-19) pandemic, virtually all in-person outpatient visits were canceled in many parts of the country between March and May 2020. We sought to estimate the potential impact of COVID-19 on the operating expenses and revenues of primary care practices. Using a microsimulation model incorporating national data on primary care use, staffing, expenditures, and reimbursements, including telemedicine visits, we estimated that over the course of calendar year 2020, primary care practices would be expected to lose 67,774 in gross revenue per full-time-equivalent physician (the difference between 2020 gross revenue with COVID-19 and the anticipated gross revenue if COVID-19 had not occurred). We further estimated that the cost at a national level to neutralize the revenue losses caused by COVID-19 among primary care practices would be $15.1 billion. This could more than double if COVID-19 telemedicine payment policies are not sustained.