Telehealth Availability in US Hospitals in the Face of the COVID-19 Pandemic

Attitudes toward telemedicine among urban and rural residents

INTRODUCTION

Adoption of telemedicine by healthcare facilities has dramatically increased since the start of coronavirus pandemic; yet, major differences exist in universal acceptance of telemedicine across different population groups. The goal of this study was to examine population-based factors associated with current and/or future use of telemedicine in Alabama.

METHODS

A cross-sectional survey was administered to 532 participants online or by phone, in four urban and eight rural counties in Alabama. Data were collected on: demographics, health insurance coverage, medical history, access to technology, and its use in accessing healthcare services. Generalized logit regression models were used to estimate the odds of choosing "virtual visit" and "phone communication" compared to "in-person visit" for the preferred choice of visit with the healthcare provider; as well as odds for willingness to participate in "virtual visit" in the future.

RESULTS

Our study sample had a mean age of 43 (±15) years, 72.9% women, 45.9% Black or African American; 59.4% population living in an urban county. The odds of "phone communication" were higher compared to the odds of "in-person visit", with a unit increase in age (odds ratio: 1.02, 95% confidence interval: 1.00-1.03), after adjusting for other covariates. Among participants with past experience of virtual communications, the odds for choosing "virtual visit" were significantly higher compared to choice of in-person visit (odds ratio for virtual visit: 3.23, 95% confidence interval: 2.01-5.18), adjusted for other covariates. Further, people with college or more education were 71% less likely to choose "No" compared to those with high school or lower general education development education for future virtual visit [odds ratio for college or more: 0.29, 95% confodence interval: 0.10-0.87). Likewise, participants residing in rural counties were 57% less likely to choose "No" compared to urban counties for future virtual visit (odds ratio for rural participants: 0.43, 95% confidence interval:0.19-0.97).

DISCUSSION

Our study found notable differences in age, education, and rurality for use and/or preference for telemedicine. Medical institutions and healthcare providers will need to account for these differences to ensure that the implementation of telemedicine does not exacerbate existing health disparities.

Barriers to Telemedicine Use: Qualitative Analysis of Provider Perspectives During the COVID-19 Pandemic

BACKGROUND

Though telemedicine is a promising approach for removing barriers to care and improving access for patients, telemedicine use for many medical specialties has decreased from its peak during the acute COVID-19 public health crisis. Understanding the barriers and facilitators to the maintenance of web-based visits-one key component of telemedicine-is critical for ensuring the continuous availability of this service for patients.

OBJECTIVE

The purpose of this study is to describe medical providers' perceived barriers and facilitators to the continued use of web-based visits to inform quality improvement efforts and promote sustainability.

METHODS

We performed a qualitative content analysis of free-text responses from a survey of medical providers administered from February 5-14, 2021, at a large, midwestern academic institution, including all providers from medical professions that offered telemedicine (eg, physicians, residents or fellows, nurse practitioners, physicians assistants, or nurses) who completed at least 1 web-based visit from March 20, 2020, to February 14, 2021. The primary outcome was the experience of providing web-based visits, including barriers and facilitators to continued usage of web-based visits. Survey questions included 3 major domains: quality of care, technology, and satisfaction. Responses were coded using qualitative content analysis and further analyzed through a matrix analysis to understand the providers' perspectives and elucidate key barriers and facilitators of web-based visit usage.

RESULTS

Of 2692 eligible providers, 1040 (38.6%) completed the survey, of whom 702 were providers from medical professions that offered telemedicine. These providers spanned 7 health care professions and 47 clinical departments. The most common professions represented were physicians (486/702, 46.7%), residents or fellows (85/702, 8.2%), and nurse practitioners (81/702, 7.8%), while the most common clinical departments were internal medicine (69/702, 6.6%), psychiatry (69/702, 6.6%), and physical medicine and rehabilitation (67/702, 6.4%). The following 4 overarching categories of provider experience with web-based visits emerged: quality of care, patient rapport, visit flow, and equity. Though many providers saw web-based visits as a tool for improving care access, quality, and equity, others shared how appropriate selection of web-based visits, support (eg, patient training, home devices, and broadband access), and institutional and nationwide optimization (eg, relaxation of licensing requirements across state borders and reimbursement for phone-only modalities) were needed to sustain web-based visits.

CONCLUSIONS

Our findings demonstrate key barriers to the maintenance of telemedicine services following the acute public health crisis. These findings can help prioritize the most impactful methods of sustaining and expanding telemedicine availability for patients who prefer this method of care delivery.

Challenges of Telemedicine during the COVID-19 pandemic: a systematic review

Background

The COVID-19 pandemic has prompted the decrease of in-person visits to reduce the risk of virus transmission. Telemedicine is an efficient communication tool employed between healthcare providers and patients that prevents the risk of exposure to infected persons. However, telemedicine use is not infallible; its users reported multiple issues that complicated the expansion of this technology. So, this systematic review aimed to explore the barriers and challenges of telemedicine use during the pandemic and to propose solutions for improving future use.

Methods

A systematic review was conducted following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) statement. PubMed, Scopus, Web of Science, Academic Search Complete, CINAHL, Embase, and Science Direct were used to look for articles addressing barriers and challenges, in addition to articles proposing solutions. Studies were screened by title and abstract, followed by a full-text review. Risk of bias assessment was done using Critical Appraisal Skills Program for qualitative studies, Newcastle–Ottawa Scale for cross-sectional studies, and A MeaSurement Tool to Assess Systematic Reviews for systematic reviews. After the extraction of data, a narrative synthesis and analysis of the outcomes were performed.

Results

Among 1194 papers identified, only 27 studies were included. Barriers and challenges were assembled under 7 categories: technical aspects, privacy, data confidentiality and reimbursement, physical examination and diagnostics, special populations, training of healthcare providers and patients, doctor-patient relationship, and acceptability. Poor internet connection and lack of universal access to technology were among the technical barriers. Concerns about patient privacy and reimbursement hindered the use of telemedicine too. Physical examination and certain procedures were impossible to perform via telemedicine. Training both healthcare providers and patients was deficient. The doctor-patient relationship was troubled by telemedicine, and both healthcare providers and patients were reluctant to use telemedicine.

Conclusion

Widespread use of telemedicine is still hampered by various barriers and challenges. Healthcare providers should work with various stakeholders to implement the proposed solutions. More research and policy changes are essential to optimize telemedicine utilization.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-022-01952-0.

The use of information and communication technology in Japanese rural clinics

High-speed information and communication technology (ICT) networks stretch all over Japan. However, their utility in facilitating rural healthcare remains uncharacterized. A nationwide questionnaire survey was sent by mail to 1,018 rural clinics constructed in a public manner in municipalities throughout Japan. ICT use was classified by type, including a doctor-to-doctor manner. Only 19% of the 303 clinics surveyed (with a response rate of 30%) used ICT. Specifically, 50% used it in a doctor-to-doctor manner, while 35% used it to obtain electronic medical records. Differences in proficiency levels among ICT users were cited by 21% of the respondents as a major problem associated with ICT use. In Japan, the prevalence of ICT use for rural healthcare appeared low. We suggest a policy reform to facilitate ICT use in rural healthcare.

The Clinical Information Systems Response to the COVID-19 Pandemic

OBJECTIVE

The year 2020 was predominated by the coronavirus disease 2019 (COVID-19) pandemic. The objective of this article is to review the areas in which clinical information systems (CIS) can be and have been utilized to support and enhance the response of healthcare systems to pandemics, focusing on COVID-19.

METHODS

PubMed/MEDLINE, Google Scholar, the tables of contents of major informatics journals, and the bibliographies of articles were searched for studies pertaining to CIS, pandemics, and COVID-19 through October 2020. The most informative and detailed studies were highlighted, while many others were referenced.

RESULTS

CIS were heavily relied upon by health systems and governmental agencies worldwide in response to COVID-19. Technology-based screening tools were developed to assist rapid case identification and appropriate triaging. Clinical care was supported by utilizing the electronic health record (EHR) to onboard frontline providers to new protocols, offer clinical decision support, and improve systems for diagnostic testing. Telehealth became the most rapidly adopted medical trend in recent history and an essential strategy for allowing safe and effective access to medical care. Artificial intelligence and machine learning algorithms were developed to enhance screening, diagnostic imaging, and predictive analytics - though evidence of improved outcomes remains limited. Geographic information systems and big data enabled real-time dashboards vital for epidemic monitoring, hospital preparedness strategies, and health policy decision making. Digital contact tracing systems were implemented to assist a labor-intensive task with the aim of curbing transmission. Large scale data sharing, effective health information exchange, and interoperability of EHRs remain challenges for the informatics community with immense clinical and academic potential. CIS must be used in combination with engaged stakeholders and operational change management in order to meaningfully improve patient outcomes.

CONCLUSION

Managing a pandemic requires widespread, timely, and effective distribution of reliable information. In the past year, CIS and informaticists made prominent and influential contributions in the global response to the COVID-19 pandemic.

Is Rural Kansas Prepared? An Assessment of Resources Related to the COVID-19 Pandemic

Introduction

This cross-sectional study investigated rural Kansas healthcare resources relevant to COVID-19 at the county level in the context of population characteristics.

Methods

The federal Area Health Resource File was used to assess system capacity and critical care-related resources and COVID-19-related risk factors at the county level. Data were described with summary statistics, cross-tabulations, and bivariate tests to discern differences across county rurality categories (2013 Rural-Urban Continuum Codes).

Results

Kansas has 105 counties. Metropolitan counties had an average of 1.5 physicians (M.D. or D.O., any specialty) per 1,000 people, while rural counties had 0.8. A total of 63.5% of rural counties had no anesthesia providers and 100.0% of rural counties had no pulmonary disease physicians. While 96 counties have at least one hospital, nearly 90% rural counties had no intensive care unit (ICU) services. The percent of the population estimated to be over 65 was higher among rural counties (24.2%) than metropolitan counties (19.3%). On average, rural counties had nearly twice as many deaths per 1,000 people by cardiovascular disease and more chronic obstructive pulmonary disease deaths than metropolitan and nonmetropolitan/urban adjacent counties.

Conclusions

Kansas faced limited ICU capabilities and physician workforce shortages in rural counties, both in primary care and specialties such as anesthesia and pulmonology. In addition, nonmetropolitan/urban adjacent and rural population age structures and mortality rates potentially demonstrated an increased risk to overwhelm local healthcare systems. This may have serious implications for rural health, particularly in the context of the COVID-19 pandemic.

Cancer Imaging and Patient Care during the COVID-19 Pandemic

Patients with cancer have been negatively impacted during the coronavirus disease 2019 (COVID-19) pandemic, as many of these individuals may be immunosuppressed and of older age. Additionally, cancer follow-up or imaging appointments have been delayed in many clinics around the world. Postponement of routine screening exams will result in delays in new cancer diagnoses. Clinics are continuing to monitor and adapt their appointment schedules based on local outbreaks of COVID-19. Studies on COVID-19 in patients with cancer are limited, but consistently indicate that this population is at risk for more severe COVID-19 illness. Data from recent studies also suggest that pediatric patients with cancer have a lower risk of severe COVID-19 illness compared to adults. Certain features of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection detected by lung, brain, and gastrointestinal imaging may confound radiologists' interpretation of cancer diagnosis, staging, and treatment response. Lastly, as clinics begin to re-open for routine appointments, protocols have been put in place to reduce SARS-CoV-2 exposure to patients during their visits. This review details different perspectives on the impact of the COVID-19 pandemic on patients with cancer and on cancer imaging. Keywords: Abdomen/GI, Cardiac, Infection, Nervous-Peripheral.

Telehealth Availability in US Hospitals in the Face of the COVID-19 Pandemic

BACKGROUND

Telehealth is likely to play a crucial role in treating COVID-19 patients. However, not all US hospitals possess telehealth capabilities. This brief report was designed to explore US hospitals' readiness with respect to telehealth availability. We hope to gain deeper insight into the factors affecting possession of these valuable capabilities, and how this varies between rural and urban areas.

METHODS

Based on 2017 data from the American Hospital Association survey, Area Health Resource Files and Medicare cost reports, we used logistic regression models to identify predictors of telehealth and eICU capabilities in US hospitals.

RESULTS

We found that larger hospitals (OR(telehealth) = 1.013; P < .01) and system members (OR(telehealth) = 1.55; P < .01) (OR(eICU) = 1.65; P < .01) had higher odds of possessing telehealth and eICU capabilities. We also found evidence suggesting that telehealth and eICU capabilities are concentrated in particular regions; the West North Central region was the most likely to possess capabilities, given that these hospitals had higher odds of possessing telehealth (OR = 1.49; P < .10) and eICU capabilities (OR = 2.15; P < .05). Rural hospitals had higher odds of possessing telehealth capabilities as compared to their urban counterparts, although this relationship was marginally significant (OR = 1.34, P < .10).

CONCLUSIONS

US hospitals vary in their preparation to use telehealth to aid in the COVID-19 battle, among other issues. Hospitals' odds of possessing the capability to provide such services vary largely by region; overall, rural hospitals have more widespread telehealth capabilities than urban hospitals. There is still great potential to expand these capabilities further, especially in areas that have been hard hit by COVID-19.