Impact of telehealth on health care resource utilization during the COVID-19 pandemic

Tele-Mental Health Service: Unveiling the Disparity and Impact on Healthcare Access and Expenditures during the COVID-19 Pandemic in Mississippi

During the COVID-19 pandemic, tele-mental health (TMH) was a viable approach for providing accessible mental and behavioral health (MBH) services. This study examines the sociodemographic disparities in TMH utilization and its effects on healthcare resource utilization (HCRU) and medical expenditures in Mississippi. Utilizing a cohort of 6787 insured adult patients at the University of Mississippi Medical Center and its affiliated sites between January 2020 and June 2023, including 3065 who accessed TMH services, we observed sociodemographic disparities between TMH and non-TMH cohorts. The TMH cohort was more likely to be younger, female, White/Caucasian, using payment methods other than Medicare, Medicaid, or commercial insurers, residing in rural areas, and with higher household income compared to the non-TMH cohort. Adjusting for sociodemographic factors, TMH utilization was associated with a 190% increase in MBH-related outpatient visits, a 17% increase in MBH-related medical expenditures, and a 12% decrease in all-cause medical expenditures (all p < 0.001). Among rural residents, TMH utilization was associated with a 205% increase in MBH-related outpatient visits and a 19% decrease in all-cause medical expenditures (both p < 0.001). This study underscores the importance of addressing sociodemographic disparities in TMH services to promote equitable healthcare access while reducing overall medical expenditures.

Telehealth Evaluation in the United States: Protocol for a Scoping Review

BACKGROUND

The rapid expansion of telehealth services, driven by the COVID-19 pandemic, necessitates systematic evaluation to guarantee the quality, effectiveness, and cost-effectiveness of telehealth services and programs in the United States. While numerous evaluation frameworks have emerged, crafted by various stakeholders, their comprehensiveness is limited, and the overall state of telehealth evaluation remains unclear.

OBJECTIVE

The overarching goal of this scoping review is to create a comprehensive overview of telehealth evaluation, incorporating perspectives from multiple stakeholder categories. Specifically, we aim to (1) map the existing landscape of telehealth evaluation, (2) identify key concepts for evaluation, (3) synthesize existing evaluation frameworks, and (4) identify measurements and assessments considered in the United States.

METHODS

We will conduct this scoping review in accordance with the Joanna Briggs Institute (JBI) methodology for scoping reviews and in line with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). This scoping review will consider documents, including reviews, reports, and white papers, published since January 1, 2019. It will focus on evaluation frameworks and associated measurements of telehealth services and programs in the US health care system, developed by telehealth stakeholders, professional organizations, and authoritative sources, excluding those developed by individual researchers, to collect data that reflect the collective expertise and consensus of experts within the respective professional group.

RESULTS

The data extracted from selected documents will be synthesized using tools such as tables and figures. Visual aids like Venn diagrams will be used to illustrate the relationships between the evaluation frameworks from various sources. A narrative summary will be crafted to further describe how the results align with the review objectives, facilitating a comprehensive overview of the findings. This scoping review is expected to conclude by August 2024.

CONCLUSIONS

By addressing critical gaps in telehealth evaluation, this scoping review protocol lays the foundation for a comprehensive and multistakeholder assessment of telehealth services and programs. Its findings will inform policy makers, health care providers, researchers, and other stakeholders in advancing the quality, effectiveness, and cost-effectiveness of telehealth in the US health care system.

TRIAL REGISTRATION

OSF Registries osf.io/aytus; https://osf.io/aytus.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/55209.

Telehealth Use and Healthcare Utilization Among Individuals with Type 2 Diabetes During the COVID-19 Pandemic: Evidence From Louisiana Medicaid Claims

INTRODUCTION

The impact of telehealth use on healthcare utilization is limited, especially among Medicaid beneficiaries with type 2 diabetes. Considering the rapid adoption of telehealth during the COVID-19 pandemic, this study examined associations between telehealth use and healthcare utilization among Medicaid beneficiaries with type 2 diabetes.

METHODS

Using Louisiana Medicaid claims data from March 2019 to August 2021, the associations were examined using a difference-in-difference model with propensity score weighting. Demographic characteristics, baseline comorbidities and healthcare utilization, and zip code level environmental factors were included in the analysis. The monthly frequency of healthcare services, including in-person outpatient visits, inpatient visits, emergency department (ED) visits and hemoglobin A1C (HbA1C) tests, were measured as outcomes. Several sensitivity analyses were conducted across different subgroups.

RESULTS

We included 48,992 beneficiaries with type 2 diabetes in the study of 27,340 beneficiaries in the telehealth group and 21,652 beneficiaries in the non-telehealth group. Of 1000 beneficiaries per month, the telehealth group had significantly more utilization compared to the non-telehealth group, with an increase of 195.049 in-person outpatient visits (95% CI: 166.169 to 223.929, p < 0.001), 3.816 inpatient visits (95% CI: 2.539 to 5.093, p < 0.001), 10.499 ED visits (95% CI: 7.287 to 13.712, p < 0.001) and 14.153 HbA1c tests (95% CI: 11.431 to 16.875, p < 0.001, respectively. Excluding beneficiaries who had ED or inpatient visits in the 30 days prior to receiving telehealth visits, overall ED visits significantly decreased for the telehealth group versus the non-telehealth group over time, by 9.456 visits (95% CI: - 12.356 to - 6.557, p < 0.001) per 1000 beneficiaries per month on average.

CONCLUSION

The study found that telehealth was associated with a significant increase in healthcare utilization in general but has the potential to decrease ED and inpatient utilization for some groups among low-income populations with diabetes.

Human resource management (HRM) strategies of medical staff during the COVID-19 pandemic

Healthcare workers are at the forefront of fight against COVID-19 and the managers of medical centers should develop coping strategies for the challenges caused by COVID-19, especially for health human resources in order to improve the performance of healthcare organizations. Hence, the purpose of this study is to investigate the human resource management strategies of medical staff during the COVID-19 to help them cope with the new strains of COVID-19 or epidemics of viral diseases that may occur in the future. In this study, a search was performed in the international Web of Science electronic database, using keywords such as human resource management and COVID-19. As a result, a total of 1884 articles published between January 1st, 2020 and October 22nd, 2021 were extracted. After screening the articles based on inclusion and exclusion criteria, 24 articles were selected to enter the study. Then, a scientometric analysis was performed on the content of selected articles and the results were presented in the form of tables and conceptual models. In total, 9 strategies were extracted from the selected articles including development of organizational culture, staff screening, policy-making, infection control training and monitoring the implementation of learned materials, patient management, human resource management, psychological and motivational support, communication and coordination, and digital health services. Employing comprehensive strategies to maintain the health of healthcare workers during the COVID-19 can play an effective role in reducing burnout, improving productivity and employee satisfaction, and in increasing the resilience of healthcare workers. It also has a positive effect on the patient's safety. Revision and reengineering of human resource management strategies in health and treatment organizations according to different cultures and contexts require research and investment in creative and innovative strategies.

COVID-19 Pandemic and Hospital Efficiency in Iran: Insight from an Interrupted Time Series Analysis and Pabon Lasso Model

Background

Limited evidence exists on the impact of the Coronavirus Disease 2019 (COVID-19) pandemic on hospital efficiency worldwide. This study aimed to investigate the impact of the COVID-19 pandemic on public hospitals in Iran.

Methods

In this quasi-experimental study, monthly data on the average length of stay (ALoS), bed occupancy rate (BOR), bed turnover rate (BTR) and bed turnover interval (BTI) were collected for 58 months (36 months before and 22 months after the COVID-19 outbreak in Iran) from the health information systems of all 18 public hospitals affiliated with Kermanshah University of Medical Sciences in Kermanshah province, Iran. We used interrupted time series analysis and the Pabon Lasso model to investigate the impact of the COVID-19 pandemic on hospital efficiency.

Results

The monthly average ALoS, BOR, BTR and BTI before (after) the COVID-19 pandemic was 3.30 (3.48) days, 70.14% (49.37), 6.78 (4.81) patients per bed and 1.15 (2.88) days, respectively. The study indicated that a statistically significant decrease in ALoS of 0.29 and BOR of 25.09 in the first month following the COVID-19 pandemic. Compared with the before pandemic period, we observed a significant increase in the monthly trend of ALoS (coefficient = 0.021; p = 0.015), BOR (coefficient = 1.30; p = 0.002), and BTR (coefficient = 0.08, p = 0.012). We found a significant decrease in the monthly trend in BTI (coefficient = -0.11, p = 0.009) after the COVID-19 pandemic when compared with before the pandemic. Based on the Pabon Lasso model, before (after) the pandemic, 29.4% (29.4%) of the hospitals were located in zone 1 as an inefficient area, and 17.6% (35.3%) of hospitals were located in zone 3 as an efficient area.

Conclusion

The study demonstrated that the BOR and BTR decreased substantially after the outbreak of COVID-19. In contrast, the ALoS and BTI have significantly increased following the COVID-19 pandemic. We also found that hospitals' performance in both periods was poor, and only 30% of hospitals were located in the efficient zone (zone three) based on the Pabon Lasso model. Further studies aimed at identifying the main factors affecting lower efficiency among hospitals in Iran are recommended.

COVID-19 and the resurgence of telehealth in otolaryngology

The objective of this review is to examine the impact of the ongoing Coronavirus disease 2019 (COVID-19) pandemic on the use of telehealth in Otolaryngology. The use of telemedicine rose dramatically during the pandemic to meet the need for continued patient care while allowing for physical separation of providers and patients. Telemedicine has been used to evaluate patients with a variety of pathologies including dysphonia, vertigo, and anosmia. Innovative use of at-home exams, such as video-otoscopy has aided providers in overcoming challenges associated with a highly specialized physical exam. The use of telemedicine in Otolaryngology will likely remain essential in the post-pandemic era and has promising results for improving clinical efficiency.