Association between state payment parity policies and telehealth usage at community health centers during COVID-19

Rural healthcare workforce preparation, response, and work during the COVID-19 pandemic in Australia: Lessons learned from in-depth interviews with rural health service leaders

BACKGROUND

Low population density, geographic spread, limited infrastructure and higher costs are unique challenges in the delivery of healthcare in rural areas. During the COVID-19 pandemic, emergency powers adopted globally to slow the spread of transmission of the virus included population-wide lockdowns and restrictions upon movement, testing, contact tracing and vaccination programs. The aim of this research was to document the experiences of rural health service leaders as they prepared for the emergency pandemic response, and to derive from this the lessons learned for workforce preparedness to inform recommendations for future policy and emergency planning.

METHODOLOGY AND METHODS

Interviews were conducted with leaders from two rural public health services in Australia, one small (500 staff) and one large (3000 staff). Data were inductively coded and analysed thematically.

PARTICIPANTS

Thirty-three participants included health service leaders in executive, clinical, and administrative roles.

FINDINGS

Six major themes were identified: Working towards a common goal, Delivery of care, Education and training, Organizational governance and leadership, Personal and psychological impacts, and Working with the Local Community. Findings informed the development of a applied framework.

CONCLUSION

The study findings emphasise the critical importance of leadership, teamwork and community engagement in preparing the emergency pandemic response in rural areas. Informed by this research, recommendations were made to guide future rural pandemic emergency responses or health crises around the world.

The COVID-19 Pandemic Led To A Large Decline In Physician Gross Revenue Across All Specialties In 2020

US health care use declined during the initial phase of the COVID-19 pandemic in 2020. Although utilization is known to have recovered in 2021 and 2022, it is unknown how revenue in 2020-22 varied by physician specialty and practice setting. This study linked medical claims from a large national federation of commercial health plans to physician and practice data to estimate pandemic-associated impacts on physician revenue (defined as payments to eligible physicians) by specialty and practice characteristics. Surgical specialties, emergency medicine, and medical subspecialties each experienced a greater than 9 percent adjusted gross revenue decline in 2020 relative to prepandemic baselines. By 2022, pathology and psychiatry revenue experienced robust recovery, whereas surgical and oncology revenue remained at or below baseline. Revenue recovery in 2022 was greater for physicians practicing in hospital-owned practices and in practices participating in accountable care organizations. Pandemic-associated revenue recovery in 2021 and 2022 varied by specialty and practice type. Given that physician financial instability is associated with health care consolidation and leaving practice, policy makers should closely monitor revenue trends among physicians in specialties or practice settings with sustained gross revenue reductions during the pandemic.

Perspectives on Telehealth Use with the Neonatal Population: Policy, Practice, and Implementation Considerations

Telehealth has proven to be a valuable approach to providing care to the neonatal population, including supporting families during the transition to home, facilitating remote monitoring of fragile neonates, and connecting neonatal experts with infants and caregivers in underserved or remote communities. Clinicians engaging in telehealth need to be aware of policies and regulations that govern practice as well as the potential health equity issues that may present themselves.

Care Delivery in Community Health Centers Before, During, and After the COVID-19 Pandemic (2019-2022)

INTRODUCTION

Health centers provide primary and behavioral health care to the nation's safety net population. Many health centers served on the frontlines of the COVID-19 pandemic, which brought major changes to health center care delivery.

OBJECTIVE

To elucidate primary care and behavioral health service delivery patterns in health centers before and during the COVID-19 public health emergency (PHE).

METHODS

We compared annual and monthly patients from 2019 to 2022 for new and established patients by visit type (primary care, behavioral health) and encounter visits by modality (in-person, telehealth) across 218 health centers in 13 states.

RESULTS

There were 1581,744 unique patients in the sample, most from health disparate populations. Review of primary care data over 4 years show that health centers served fewer pediatric patients over time, while retaining the capacity to provide to patients 65+. Monthly data on encounters highlights that the initial shift in March/April 2020 to telehealth was not sustained and that in-person visits rose steadily after November/December 2020 to return as the predominant care delivery mode. With regards to behavioral health, health centers continued to provide care to established patients throughout the PHE, while serving fewer new patients over time. In contrast to primary care, after initial uptake of telehealth in March/April 2020, telehealth encounters remained the predominant care delivery mode through 2022.

CONCLUSION

Four years of data demonstrate how COVID-19 impacted delivery of primary care and behavioral health care for patients, highlighting gaps in pediatric care delivery and trends in telehealth over time.

Impact of Private Payer Policies on the Transition to Telemental Health Care Among Privately Insured Patients with Mental Health Disorders

Introduction: Mental health patients in states without private payer telehealth reimbursement policies before the public health emergency (PHE) may have experienced reduced access to telemental health (TMH). We estimate the association between private payer telehealth policy status in 2019 and the transition to TMH in 2020. Methods: Retrospective cohort study of privately insured individuals 2-64 years old with a mental health disorder and without TMH use in 2019. We examined new telemental use in 2020 by three categories of policy reimbursement status in 2019 (partial parity, full parity vs. no policy), overall (any telemental), and by modality (live video, audio-only, and online assessments) using logistic regression models clustered by state. Results: Among the 34,612 enrollees, 54.7% received TMH for the first time. Relative to no policy states, enrollees in partial or full parity states were equally likely to receive TMH in 2020. However, enrollees in states with a private payer telehealth policy were less likely to receive audio-only (partial parity: odds ratio [OR]: 0.59, 95% confidence interval [CI]: 0.39-0.90; full parity: OR: 0.38, 95% CI: 0.26-0.55), but more likely to receive online assessments (full parity: OR: 2.28, 95% CI: 1.4-4.59). Conclusions: Privately insured enrollees similarly transitioned to TMH across states suggesting a broad impact of the PHE policies on access to this care. The differences in audio-only and online assessments suggest that providers were possibly better prepared to implement TMH care via live video or patient portals in states with telehealth policies.

Use of Simulated Telenursing With Standardized Patients to Enhance Prelicensure Nursing Education

BACKGROUND

Telenursing is a growing field in health care but remains underutilized as a clinical learning opportunity in the prelicensure nursing curriculum.

PROBLEM

Prelicensure nursing students need exposure to telenursing as an educational modality, which can serve as an alternative opportunity for clinical hours where facilities and resources are limited.

APPROACH

Using standardized patients and a web-based videoconferencing platform, faculty developed an innovative, simulated telenursing encounter to expose nursing students to virtual patient care scenarios. The effectiveness of this learning experience was evaluated through student-teacher satisfaction debriefing and student performance on content-related examinations.

OUTCOMES

Students scored higher on targeted examination questions than students from the same cohort who did not participate in the telenursing encounter. In addition, students voiced increased comfort and confidence with conducting patient interviews, providing patient education, and debriefing.

CONCLUSION

Using a simulated telenursing encounter is useful in prelicensure nursing education by exposing students to patient interaction outside of traditional clinical settings and reinforcing essential nursing concepts.

State Medicaid and private telemedicine coverage requirements and telemedicine use, 2013-2019

OBJECTIVE

To examine the association between state Medicaid and private telemedicine coverage requirements and telemedicine use. A secondary objective was to examine whether these policies were associated with health care access.

DATA SOURCES AND STUDY SETTING

We used nationally representative survey data from the 2013-2019 Association of American Medical Colleges Consumer Survey of Health Care Access. The sample included Medicaid-enrolled (4492) and privately insured (15,581) adults under age 65.

STUDY DESIGN

The study design was a quasi-experimental two-way-fixed-effects difference-in-differences analysis that took advantage of state-level changes in telemedicine coverage requirements during the study period. Separate analyses were conducted for the Medicaid and private requirements. The primary outcome was the past-year use of live video communication. Secondary outcomes included same-day appointment, always able to get needed care, and having enough options for where to go to receive care.

DATA COLLECTION/EXTRACTION METHODS

N/A.

PRINCIPAL FINDINGS

Medicaid telemedicine coverage requirements were associated with a 6.01 percentage-point increase in the use of live video communication (95% CI, 1.62 to 10.41) and an 11.12 percentage-point increase in always being able to access needed care (95% CI, 3.34 to 18.90). While generally robust to various sensitivity analyses, these findings were somewhat sensitive to included study years. Private coverage requirements were not significantly associated with any of the outcomes considered.

CONCLUSIONS

Medicaid telemedicine coverage during 2013-2019 was associated with significant and meaningful increases in telemedicine use and health care access. We did not detect any significant associations for private telemedicine coverage policies. Many states added or expanded telemedicine coverage policies during the COVID-19 pandemic, but states will face decisions about whether to maintain these enhanced policies now that the public health emergency is ending. Understanding the role of state policies in promoting telemedicine use may help inform policymaking efforts going forward.

Digital Health Reimbursement Strategies of 8 European Countries and Israel: Scoping Review and Policy Mapping

BACKGROUND

The adoption of digital health care within health systems is determined by various factors, including pricing and reimbursement. The reimbursement landscape for digital health in Europe remains underresearched. Although various emergency reimbursement decisions were made during the COVID-19 pandemic to enable health care delivery through videoconferencing and asynchronous care (eg, digital apps), research so far has primarily focused on the policy innovations that facilitated this outside of Europe.

OBJECTIVE

This study examines the digital health reimbursement strategies in 8 European countries (Belgium, France, Germany, Italy, the Netherlands, Poland, Sweden, and the United Kingdom) and Israel.

METHODS

We mapped available digital health reimbursement strategies using a scoping review and policy mapping framework. We reviewed the literature on the MEDLINE, Embase, Global Health, and Web of Science databases. Supplementary records were identified through Google Scholar and country experts.

RESULTS

Our search strategy yielded a total of 1559 records, of which 40 (2.57%) were ultimately included in this study. As of August 2023, digital health solutions are reimbursable to some extent in all studied countries except Poland, although the mechanism of reimbursement differs significantly across countries. At the time of writing, the pricing of digital health solutions was mostly determined through discussions between national or regional committees and the manufacturers of digital health solutions in the absence of value-based assessment mechanisms. Financing digital health solutions outside traditional reimbursement schemes was possible in all studied countries except Poland and typically occurs via health innovation or digital health-specific funding schemes. European countries have value-based pricing frameworks that range from nonexistent to embryonic.

CONCLUSIONS

Studied countries show divergent approaches to the reimbursement of digital health solutions. These differences may complicate the ability of patients to seek cross-country health care in another country, even if a digital health app is available in both countries. Furthermore, the fragmented environment will present challenges for developers of such solutions, as they look to expand their impact across countries and health systems. An increased emphasis on developing a clear conceptualization of digital health, as well as value-based pricing and reimbursement mechanisms, is needed for the sustainable integration of digital health. This study can therein serve as a basis for further, more detailed research as the field of digital health reimbursement evolves.

The Impact of Telemedicine Parity Requirements on Telehealth Utilization in the United States During the COVID-19 Pandemic

BACKGROUND

Research has shown a dramatic increase in telehealth utilization during the COVID-19 pandemic and marked socioeconomic disparities in telehealth utilization. However, previous studies have shown discrepant findings on the association between the state's telehealth payment parity laws and telehealth utilization, and dearth of differential impact studies by subgroups.

METHODS

Using a nationally representative Household Pulse Survey from April 2021 to August 2022 and the logistic regression modeling, we estimated the impact of parity payment laws on overall, video, and phone telehealth utilization and related disparities by race and ethncity during the pandemic.

RESULTS

We found that adults in parity states had 23% higher odds of telehealth utilization (odds ratio [OR] = 1.23; 95% confidence interval [CI], 1.14-1.33) and 124% higher odds of video telehealth utilization (OR = 2.24; 95% CI, 1.95-2.57) than their counterparts in nonparity states. In parity states, non-Hispanic White adults had 24% higher odds of telehealth utilization (OR = 1.24; 95% CI: 1.14, 1.35) and non-Hispanic Black adults had 31% higher odds of telehealth utilization (OR = 1.31; 95% CI: 1.03, 1.65), compared with those in nonparity states. For Hispanics, non-Hispanic Asians, and non-Hispanic other races, there was not a statistically significant effect of parity act on overall telehealth utilization.

CONCLUSIONS

Given inequalities in telehealth utilization, increased state policy efforts are needed to reduce access disparities during the ongoing pandemic and beyond.