Changes in Health Services Use Among Commercially Insured US Populations During the COVID-19 Pandemic

Care trajectories for patients utilizing electronic visits for COVID-like symptoms in a large healthcare delivery system: May 2020-December 2021

BACKGROUND

There is limited information about how on-line screening tools developed by integrated systems facilitated management of COVID-like illness patients.

METHODS

Using the Kaiser Permanente Northwest (KPNW) Electronic Health Record, we identified adult plan members who accessed online COVID-19 screening e-visits and enumerated their subsequent medical encounters, tests for SARS-CoV-2, and test outcomes.

RESULTS

Between May 2020 and December 2021, members completed 55,139 e-visits, with disproportionate representation among females (65% vs. 53% in the overall membership) and members aged <45 years (61% vs. 39%). Thirty percent of patients (16,953) were managed entirely through e-visits and 70% received subsequent in-person care. The percent of SARS-CoV-2 positive individuals was highest among the 1055 individuals triaged to inpatient care (17.9%), compared to 9.5% among those escalated to additional ambulatory care.

CONCLUSIONS

The e-visit on-line screening tool helped KPNW assist thousands of patients with COVID-19 symptoms, avoid unnecessary in-person patient encounters, and preserved KPNW infection control and pandemic surge capacity.

COVID-19 public health restrictions and opioid overdoes: a summative content analysis of emergency medical services records in three Texas counties

BACKGROUND

With the broad recognition of increased U.S. opioid overdose (OOD) rates between 2020 and 2021, media, public health, and healthcare organizations have raised significant concerns over the emergence of a simultaneous COVID-19-opioid "twindemic." Research in this area has explored the possible relationships between negative externalities associated with the pandemic and/or COVID-19 public health interventions and increased risks for opioid use and overdose alongside diminished outcomes following OOD events.

METHODS

The study offers a summative content analysis of Emergency Medical Service (EMS) responses to opioid overdose (OOD) events before and after the institution of COVID-19 restrictions. Specifically, the study investigates three Texas counties to evaluate changing OOD rates, patient demographics, and OOD event features. The analysis uses a previously validated machine learning tool to identify OOD events and conducted a summative content analysis of identified events.

RESULTS

A total of 1170 OOD responses events were identified in the three-county dataset. This includes 874 in Travis County, 242 in El Paso County, and 54 in Williamson County. Each county experienced modest changes in EMS calls for OOD events between the pre-restriction and public health restriction time periods. Travis County's OOD event rate declined from 454 to 420. El Paso's increased from 103 to 139, and Williamson County's increased from 23 to 31. These changes were not significant as percentage of possible OOD events or based on by-month comparison. The notable differences between pre-restriction and public health restriction periods were significant decreases in documentation of patient race/ethnicity in Travis and Williamson Counties, significant decreases in housing insecurity and use alone in Travis County, and an increase in transport refusal after treatment in the field in Travis County.

CONCLUSIONS

Ultimately the results presented here problematize prevailing analyses about the so-called opioid-COVID-19 "twindemic." The data further support emerging trends about substantial geographic variation and show some ways that COVID-19 mitigation measures may have improved conditions for some populations, particularly in terms of housing security. Additionally, the results presented here indicate that further attention should be paid to the effects of first responder stress on documentation quality.

Perceptions of Telehealth in the United States: Are There Racial/Ethnic Differences?

Introduction: Telehealth, a beneficial and safe option for in-person medical patient visits, has the potential to significantly improve patient health outcomes. While its use increased during the COVID-19 pandemic, there is limited research on the perception of telehealth compared with in-person care among different racial and ethnic groups in the United States. We aimed to investigate the relationship between race/ethnicity and the perception that telehealth is similar to in-person care. Methods: The study used the Health Information Nation Trends Survey Cycle 6, a nationally representative survey conducted between March and November 2022, as its primary data source. The analytic sample included 2,384 participants of age 18 years and older. The primary outcome, perceived telehealth equivalency, was measured as the self-reported perception that telehealth is equivalent to in-person care. Logistic regression examined the association between race/ethnicity and perceived telehealth equivalency, adjusting for several potential confounding factors. Results: The findings indicated that being non-Hispanic Black or African American, relative to non-Hispanic White, was significantly associated with the perception that telehealth is similar to in-person care (odds ratio [OR] = 2.02, 95% confidence interval [CI] = 1.14-3.57, p = 0.016). High school graduates (OR = 1.82, 95% CI = 1.02-3.25, p = 0.04) and those insured (OR = 2.98, 95% CI = 1.29-6.91, p = 0.01) were significantly more likely to report a perception that telehealth is similar to in-person care. The different modalities, such as video or audio, were not significantly associated with perceived telehealth equivalency. Conclusions: These findings suggest that understanding demographic and contextual factors may help enhance telehealth acceptance and utilization and inform efforts to increase equitable access to health care.

Regional Impact of the COVID-19 Pandemic on Cancer Screening

Cancer screening is the most cost-effective prevention strategy that enables improved cancer morbidity and mortality rates. However, there was a significant decline in cancer screening during the COVID-19 pandemic worldwide. This study aimed to measure regional differences in cancer screening by comparing screening rates before and during COVID-19 and to examine factors explaining the regional difference in cancer screening. All variables including the differences in cancer screening rate before and during the COVID-19 pandemic were collected from 229 administrative subregions in South Korea and joined with each community in ArcGIS environment. Factors explaining regional difference in cancer screening were analyzed through descriptive statistics, correlation analysis, and interactive decision tree modeling. Cancer screening rates decreased in all regions during the COVID-19 pandemic in South Korea. The findings revealed that national health insurance premiums, the number of cancer screening facilities, livelihood benefit recipients, and the population aged 65+ could be classified as variables highly affecting the decrease in cancer screening rate. These findings highlight the efforts to appraise different barriers to cancer screening in each community. In addition, it is important to promote sustainable cancer screening strategies from regional perspectives based on regional vulnerabilities and their complex impact on cancer screening.

Correlates of Transitioning from In-Person to Telemedicine Outpatient Neurology Clinic Visits

Introduction: The COVID-19 pandemic accelerated telemedicine adoption, impacting appointment no-show rates. This study examines neurology appointment preferences among individuals with previous no-shows. Methods: We analyzed transitions between in-person and telemedicine modalities at the Tulane Center for Clinical Neurosciences from August 2020 to February 2021 by race, sex, and insurance type. Logistic regression was used to assess which individual characteristics were associated with switching modalities. Results: A total of 118 patients were included. Transitions to telemedicine visits were significantly higher for female (odds ratio [OR] = 1.868, p = 0.051), Medicaid (OR = 0.433, p = 0.035), and Medicare (OR = 0.228, p = 0.001) beneficiaries compared with males and those with private coverage. Telemedicine to in-person transitions were significantly higher for Medicaid compared with private coverage (OR = 8.133, p = 0.018). Discussion: Females are more likely to switch to telemedicine following an in-person no-show, whereas Medicare beneficiaries are less likely. Medicaid beneficiaries are more likely to revert to in-person appointments. Telemedicine may enhance equitable neurological care, particularly because of its high utilization among females.

Reducing rehospitalization in cardiac patients: a randomized, controlled trial of a cardiac care management program ("Cardiolotse") in Germany

BACKGROUND

We conducted a prospective, randomized, controlled, two-group parallel trial investigating the effectiveness of a care management program employing cardiac care navigators providing post-discharge support to patients compared to standard care.

METHODS

The intervention commenced in 2019/2020 for 2862 patients hospitalized with heart failure, coronary heart disease, or cardiac arrhythmias in departments of cardiology across eight participating sites of a hospital group in Berlin, Germany. We analyzed the results using an intention-to-treat approach. The primary outcome was the all-cause rehospitalization rate after 12 months. Secondary outcomes included rehospitalizations due to one of the qualifying cardiac diagnoses, duration of rehospitalization, mortality, health-related quality of life, and several process indicators. Trial data were collected from a combination of face-to-face and phone interviews conducted by hospital staff throughout the 12-month follow-up period using standardized questionnaires. Administrative claims data were provided by a large statutory health insurer. Outcomes for the intervention and control groups were compared using logistic regression, generalized linear models (GLMs) with a negative binomial distribution, ordinary least squares, and Cox proportional hazards regression.

RESULTS

Compared to the control group (N = 1294), the intervention group (N = 1256) had a lower rate of all-cause rehospitalizations (62.6% vs. 66.4%, p = 0.05) and shorter lengths of stay (14.49 vs. 16.89 days, p = 0.02) during the 12-month follow-up period. These differences were also present for rehospitalizations due to the cardiac diseases qualifying for study recruitment, with rehospitalization rates for the intervention and control groups being 58.0% vs. 61.4% (p = 0.08) and particularly pronounced for lengths of rehospitalization stay of 12.97 vs. 15.40 days (p = 0.01), respectively. Subgroup analyses indicated positive effects of the intervention for patients 70 years and older (p = 0.05), females (p = 0.06), and those with little or no German language proficiency (p = 0.03). Furthermore, we found positive effects on patients' adherence to health-related behavioral recommendations (81.91% vs. 73.95%, p = 0.000).

CONCLUSIONS

This study adds to the body of evidence indicating that care management interventions supporting patients as they transition from the inpatient to the outpatient sector can lower rehospitalizations, decrease length of rehospitalization stays, and improve adherence to post-discharge recommendations.

TRIAL REGISTRATION

German Clinical Trial Register, DRKS00020424 . Registered 2020-06-18. (retrospectively registered).

Effects of the COVID-19 pandemic on TB outcomes in the United States: a Bayesian analysis

Background

Tuberculosis (TB) cases and deaths in the United States fluctuated substantially during the COVID-19 pandemic. We analyzed multiple data sources to understand the factors contributing to these changes and estimated future TB trends.

Methods

We identified four mechanisms potentially contributing to observed TB trends during 2020-2023: immigration, respiratory contact rates, rates of accurate diagnosis and treatment initiation, and mortality rates for persons with TB disease. We employed a Bayesian approach to synthesize evidence on how these mechanisms changed during the pandemic and how they might have combined to produce observed 2020-2023 TB data, using a transmission-dynamic model to link mechanisms to TB outcomes. We also simulated a no-pandemic counterfactual scenario that assumed mechanisms followed pre-pandemic trends. We estimated TB outcomes associated with the pandemic until 2035 to capture lagged effects. We evaluated additional scenarios to estimate the individual effect of each mechanism.

Results

Over the 2020-2035 study period, we estimate an additional 2,784 (95% uncertainty interval: 2,164-3,461) TB cases and 1,138 (1,076-1,201) TB deaths in the United States associated with changes occurring during the COVID-19 pandemic. The four mechanisms had offsetting effects - decreases in TB diagnosis rates and increases in TB mortality rates led to more TB deaths, while reductions in contact rates reduced TB deaths. Immigration changes initially reduced TB deaths, but increased deaths over time.

Discussion

While the direct impacts of the COVID-19 pandemic occurred between 2020-2023, these changes may continue to influence TB incidence and mortality in future years.

Attributable one-year healthcare cost of incident type 2 diabetes: A population-wide difference-in-differences study in Denmark

AIM

The aim of this study is to estimate the causally attributable one-year healthcare costs for individuals getting a type 2 diabetes diagnosis compared to a matched sample and show the incurred costs of medication and in primary and secondary healthcare.

METHODS

Causal estimation using a difference-in-differences design to estimate the one-year health care costs attributable to type 2 diabetes. Danish registry data consisting of the entire population in years 2016-2019. Newly diagnosed individuals with type 2 diabetes in 2018 were identified using a validated method. Sociodemographic and historical health data were used to identify a matched control group. Individuals were followed for two years before and one year after the date of diagnosis using. Three cost components were analysed: medication and primary and secondary healthcare costs.

RESULTS

A total of 18,133 individuals were diagnosed with type 2 diabetes in 2018 and matched successfully 1:1 to a control group. The total attributable one-year cost of type 2 diabetes was EUR 1316. The main cost component was hospital care (EUR 1004) and primary care (EUR 167). The total attributable cost of incident diabetes in Denmark in 2018 was approx. EUR 24 million.

CONCLUSIONS

The majority of the first year health care cost of incident diabetes is incurred at the hospital level followed by primary care and medication. Our yearly cost estimate per newly diagnosed is considerably lower than estimates from the US and Australia.

Thyroid Cancer Incidence During 2020 to 2021 COVID-19 Variant Waves

Importance

How rates of thyroid cancer diagnosis were affected by the emergence of COVID-19 variants during the 2020 to 2021 era of the pandemic has not been described.

Objective

To estimate the total number of undiagnosed cases of thyroid cancer, by histologic type, during the first 2 years of the COVID-19 pandemic (2020 and 2021) by comparing observed to expected incidence and to test for changes in size of cancer at incidence during the same period compared to prior years.

Design, Setting, and Participants

This longitudinal study analyzed trends in thyroid cancer diagnoses from 2016 to 2021 among US adults using data from the Surveillance, Epidemiology, and End Results 22 (SEER-22) program database. Data analyses were performed in April to May 2024.

Main Outcomes and Measures

Age-adjusted incidence rate per 100 000 US adults, changes in incidence, estimated number of undiagnosed cases, and mean cancer size.

Results

Absolute rates of overall thyroid cancer incidence in the first quarter of 2016 and of 2019 were 21.0 and 18.8 per 100 000, respectively. From 2020 through 2021, the quarterly rates were 17.3, 11.1, 17.2, 17.9, 17.4, 19.0, 17.1, and 17.3 per 100 000, respectively. The observed incidence of thyroid cancers decreased by 11% for papillary cancers 2 cm or smaller (risk ratio [RR], 0.89; 95% CI, 0.83-0.95), 14% for papillary cancers larger than 2 cm (RR, 0.86; 95% CI, 0.79-0.93), 8% for follicular cancers (RR, 0.92; 95% CI, 0.82-0.92), 10% for medullary cancers (RR, 0.90; 95% CI, 0.78-1.04), and 15% for anaplastic cancers (RR, 0.85; 95% CI, 0.68-1.07) from March 2020 to December 2021. Oncocytic cancers declined in incidence early in the pandemic, but rates returned to baseline or above through 2021 (RR, 1.15; 95% CI, 0.97-1.37). Extrapolated to the general US population, the total estimated number of thyroid cancer cases not diagnosed (expected minus observed) from March 2020 to December 2021 was approximately 10 200: 5400 papillary cancers 2 cm or smaller (95% CI, 2380-8530), 3700 papillary cancers larger than 2 cm (95% CI, 1660-5810), 600 follicular cancers (95% CI, -260 to 1550), 300 medullary cancers (95% CI, -110 to 720), and 190 anaplastic cancers (95% CI, -75 to 530). Mean size at diagnosis did not change significantly between 2016 and 2021 for any histologic type.

Conclusions and Relevance

This longitudinal study found that by the end of 2021, many thyroid cancers remained undiagnosed. These were predominantly small papillary cancers but also affected all histologic types except oncocytic. These deficits in diagnosis could produce a temporary increase in the rate of patients presenting with larger or more advanced stage cancers in the future, and consequently, temporary increases in population morbidity and mortality.

Unveiling the Adoption and Barriers of Telemedicine in US Hospitals: A Comprehensive Analysis (2017-2022)

BACKGROUND

Telemedicine has emerged as a vital healthcare delivery model, especially pronounced during the COVID-19 pandemic. Our study uniquely focuses on an institutional lens, examining US hospitals to offer targeted policy implications.

OBJECTIVE

To investigate the trend in telemedicine adoption across US hospitals from 2017 to 2022 and analyze the institutional challenges they encounter, particularly in the realm of electronic health information exchange.

DESIGN

Cross-sectional study leveraging data from the American Hospital Association's (AHA) annual surveys for the years 2017 to 2021 and the 2022 AHA IT Supplement Survey.

SETTING

The study includes a national sample of US hospitals, covering a diverse range of hospital types including large, nonprofit, teaching, and system-affiliated institutions.

PARTICIPANTS

US hospitals form the study's participants, with a substantial response rate to the surveys.

MAIN MEASURES

Key metrics include the number of telemedicine patient encounters, percentage of hospitals offering telemedicine services, and institutional challenges to electronic health information exchange.

KEY RESULTS

Telemedicine encounters saw a 75% increase, growing from approximately 111.4 million in 2020 to nearly 194.4 million in 2021. The percentage of hospitals offering at least one form of telemedicine service went from 46% in 2017 to 72% in 2021. Larger, nonprofit, and teaching hospitals were more prone to telehealth adoption, without notable urban-rural disparities. While over 90% of hospitals allow patients to view and download medical records, only 41% permit online data submission. Importantly, 25% of hospitals identified Certified Health IT Developers such as EHR vendor as frequent culprits in information blocking, with cost being the primary obstacle.

CONCLUSIONS

The findings underscore the rapid yet uneven adoption of telemedicine services in U.S. hospitals. The results point to the need for comprehensive policy interventions to address the challenges identified and realize telemedicine's full potential in healthcare delivery and resilience.

Changes in Utilization and Expenditures Among Commercially Insured U.S. Adults With Diabetes During the COVID-19 Pandemic: Preliminary Findings

Introduction

People with diabetes were among the populations that experienced the most profound impacts during the COVID-19 pandemic. The authors estimated changes in healthcare utilization and expenditures for commercially insured adults aged 18-64 years with diabetes during the pandemic.

Methods

Medical claims data were from IQVIA PharMetrics Plus. Linear regressions were used to estimate the changes in utilization (per 1,000 individuals) for inpatient stays, emergency room visits, physician office visits, and ambulatory surgery center procedures. Changes in expenditures, in total and out of pocket, were estimated using generalized linear models. Expenditures were adjusted to 2021 U.S. dollars using the Consumer Price Index.

Results

Utilization was reduced significantly for all service types during the pandemic. Although the largest reduction occurred between March 2020 and May 2020, the decrease persisted throughout 2021. During March 2020-May 2020, ambulatory surgery center procedures were reduced by 4.7 visits per 1,000 individuals. The reduction ranged between 0.4 and 1.3 visits per 1,000 individuals subsequently. Expenditures declined for all service types during March 2020-May 2020. However, after May 2020, the reduction remained statistically significant only for physician office visits for all months, with varying changes in expenditures for other service types.

Conclusions

Healthcare utilization and expenditures reduced among commercially insured adults with diabetes during the COVID-19 pandemic.

Growth of Community Outpatient Care in the Veterans Affairs System After the MISSION Act

BACKGROUND

The Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act of 2018 authorized a major expansion of purchased care in the community for Veterans experiencing access barriers in the Veterans Affairs (VA) health care system.

OBJECTIVE

To estimate changes in primary care, mental health, and emergency/urgent care visits in the VA and community fiscal years (FY) 2018-2021 and differences between rural and urban clinics.

DESIGN

A national, longitudinal study of VA clinics and outpatient utilization. Clinic-level analysis was conducted to estimate changes in number and proportion of clinic visits provided in the community associated with the MISSION Act adjusting for clinic characteristics and underlying time trends.

PARTICIPANTS

In total, 1050 VA clinics and 6.6 million Veterans assigned to primary care.

MAIN MEASURES

Number of primary care, mental health, and emergency/urgent care visits provided in the VA and community and the proportion provided in the community.

KEY RESULTS

Nationally, community primary care visits increased by 107% (50,611 to 104,923), community mental health visits increased by 167% (100,701 to 268,976), and community emergency/urgent care visits increased by 129% (142,262 to 325,407) from the first quarter of 2018 to last quarter of 2021. In adjusted analysis, after MISSION Act implementation, there was an increase in community visits as a proportion of total clinic visits for emergency/urgent care and mental health but not primary care. Rural clinics had larger increases in the proportion of community visits for primary care and emergency/urgent care than urban clinics.

CONCLUSIONS

After the MISSION Act, more outpatient care shifted to the community for emergency/urgent care and mental health care but not primary care. Community care utilization increased more in rural compared to urban clinics for primary care and emergency/urgent care. These findings highlight the challenges and importance of maintaining provider networks in rural areas to ensure access to care.

Background incidence rates of health outcomes of interest for COVID-19 vaccine safety monitoring in a US population: a claims database analysis

OBJECTIVE

To evaluate background incidence rates of 59 health outcomes of interest (HOI) in a diverse population, including important subpopulations, during the pre-COVID-19 era (1 January 2017-31 December 2019) and the COVID-19 era (1 March 2020-31 December 2020), before the introduction of COVID-19 vaccines.

DESIGN

Observational retrospective cohort study. Annual incidence rates and 95% confidence intervals (CIs) of HOIs were estimated for each population of interest, stratified by: age, sex, age and sex and seasonality.

DATA SOURCE

Optum's de-identified Clinformatics Data Mart Database (CDM).

PARTICIPANTS

Individuals from the US general population and four subgroups of interest: influenza-vaccinated, paediatric (<18 years of age), elderly (≥65 years of age) and pregnant women.

RESULTS

During the COVID-19 era, the incidence of several cardiac conditions, coagulation disorders and acute liver injury increased across all populations assessed while the rates of some dermatological and neurological HOIs decreased relative to the pre-COVID-19 era. The incidence of acute respiratory distress syndrome (ARDS) varied considerably by subgroup: among the elderly, it decreased annually during the pre-COVID-19 era but peaked during the COVID-19 era; among pregnant women, it slightly increased annually during the pre-COVID-19 era and substantially increased during the COVID-19 era; among paediatrics, it decreased annually over the entire study. The incidence of the majority of HOIs increased with age, but were generally comparable between sexes with few exceptions. Cardiac, gastrointestinal, neurological and haematological HOIs, along with acute kidney injury and ARDS, were more common in males, whereas several immunological HOIs and chilblain-like lesions were more common in females. Pregnancy-related HOIs did not increase during the COVID-19 era, except for spontaneous abortions which increased annually over the entire study.

CONCLUSION

These observations help contextualise fluctuations in background rates of adverse events noted during the COVID-19 era, and provide insight on how their use may impact safety surveillance for other vaccines.

Impact of the Early COVID-19 Pandemic on Incidence and Outcomes of Hepatocellular Carcinoma in the United States

INTRODUCTION

Access to hepatocellular carcinoma (HCC) surveillance and treatments were disrupted during the coronavirus disease 2019 (COVID-19) pandemic. We aimed to characterize the impact of the pandemic on HCC incidence and mortality rates, treatment, and outcomes in the United States.

METHODS

Two nationwide databases, the United States Cancer Statistics and the National Vital Statistics System, were used to investigate HCC incidence and mortality between 2001 and 2020. Trends in age-adjusted incidence rate (aIR) and adjusted mortality rate (aMR) were assessed using joinpoint analysis. The 2020 aIR and aMR were projected based on the prepandemic data and compared with actual values to assess the extent of underdiagnosis. We assessed differences in HCC characteristics, treatment, and overall survival between 2020 and 2018-2019.

RESULTS

The aIR of HCC in 2020 was significantly reduced compared with 2019 (5.22 vs 6.03/100K person-years [PY]), representing a 12.2% decrease compared with the predicted aIR in 2020 (5.94/100K PY). The greatest extent of underdiagnosis was observed in Black (-14.87%) and Hispanic (-14.51%) individuals and those with localized HCC (-15.12%). Individuals staged as regional or distant HCC were also less likely to receive treatment in 2020. However, there was no significant difference in short-term overall survival in 2020 compared with 2018-2019, with HCC mortality rates remaining stable (aMR: 2.76 vs 2.73/100K PY in 2020 vs 2019).

DISCUSSION

The COVID-19 pandemic resulted in underdiagnosis of HCC, particularly early stage disease and racial ethnic minorities, and underuse of HCC-directed treatment. Longer follow-up is needed to determine the impact of the COVID-19 pandemic on HCC-related mortality.

Factors associated with telehealth use among adults in the United States: Findings from the 2020 National Health Interview Survey

INTRODUCTION

During the COVID-19 pandemic, health care shifted to virtual interactions with health professionals. The aim of this study was to examine the determinants of telehealth use in a nationally representative sample of the United States adult population.

METHODS

The study used data from the 2020 National Health Interview Survey of 17,582 respondents aged ≥18. Andersen's model of health services utilization was employed to examine predisposing, enabling, and needs factors associated with past-year telehealth use. Multivariable logistic regression was conducted to examine statistical associations.

RESULTS

32.5% of adults (n = 6402; mean age 51.6, SE = 0.4) reported telehealth use. Predisposing factors: Women and married/partnered adults and those with higher levels of education had greater odds of using telehealth. Adults living in Midwest and South and adults living in medium-small and non-metropolitan areas had decreased odds of using telehealth. Enabling factors: Income and having a usual source of care were positively associated with telehealth use. A negative association was found for those with no insurance and telehealth use, whereas a positive association was found for military insurance. Needs factors: Odds of using telehealth were increased for adults who had well-visits and ER visits in the past 12 months. Mental health services quadrupled the odds of telehealth use. Odds of using telehealth increased with each additional chronic disease, including COVID-19.

CONCLUSION

There are disparities in telehealth use according to sex, education, rurality, access to care, and health needs. Tackling these disparities is pivotal to ensure barriers to telehealth use are not exacerbated post-pandemic.

Underlying Reasons for Primary Care Visits Where Chlamydia Testing Was Performed in the United States, 2019 to 2022

BACKGROUND

In the United States, most chlamydia cases are reported from non-sexually transmitted disease clinics, and there is limited information focusing on the reasons for chlamydia testing in private settings. These analyses describe clinical visits to primary care providers where chlamydia testing was performed to help discern between screening and diagnostic testing for chlamydia.

METHODS

Using the largest primary care clinical registry in the United States, the PRIME registry, chlamydia tests were identified using Current Procedural Terminology procedure codes and categorized as diagnostic testing for sexually transmitted infection (STI)-related symptoms, screening for chlamydia, or "other," based on Classification of Diseases, Tenth Revision Evaluation and Management codes selected for visits.

RESULTS

Of 120,013 clinical visits with chlamydia testing between January 1, 2019, and December 31, 2022, 70.4% were women; 20.6% were with STI-related symptoms, 59.9% were for screening, and 19.5% for "other" reasons. Of those 120,013 clinical visits with chlamydia testing, the logit model showed that patients were significantly more likely to have STI-related symptoms if they were female than male, non-Hispanic Black than non-Hispanic White, aged 15 to 24 years than aged ≥45 years, and resided in the South than in the Northeast.

CONCLUSION

It is important to know what proportion of chlamydial infections is identified through screening programs and to have this information stratified by demographics. The inclusion of laboratory results could further facilitate a better understanding of the impact of chlamydia screening programs on the identification and treatment of chlamydia in private office settings in the United States.

Influence of the COVID-19 Pandemic on Patients with Rectal Cancer

Objectives: The COVID-19 pandemic and its associated restrictions have resulted in delayed diagnoses across various tumor entities, including rectal cancer. Our hypothesis was based on the expectation of a reduced number of primary operations due to higher tumor stages compared to the control group. Methods: In a single-center retrospective study conducted from 1 March 2018 to 1 March 2022, we analyzed 120 patients with an initial diagnosis of rectal cancer. Among them, 65 patients were part of the control group (pre-COVID-19), while 55 patients were included in the study group (during the COVID-19 pandemic). We compared tumor stages, treatment methods, and complications, presenting data as absolute numbers or mean values. Results: Fewer primary tumor resections during the COVID-19 pandemic (p = 0.010), as well as a significantly lower overall number of tumor resections (p = 0.025) were seen compared to the control group. Twenty percent of patients in the COVID-19 group received their diagnosis during lockdown periods. These patients presented significantly higher tumor stages (T4b: 27.3% vs. 6.2%, p = 0.025) compared to the control group prior to the pandemic. In addition, more patients with angiolymphatic invasion (ALI) were identified in the COVID-19 group following neoadjuvant treatment compared to the control group (p = 0.027). No differences were noted between the groups regarding complications, stoma placement, or conversion rates. Conclusions: The COVID-19 pandemic, particularly during lockdown, appears to have contributed to delayed diagnoses, resulting in higher tumor stages and a decreased number of surgeries. The quality of rectal cancer treatment can be maintained under pandemic conditions.

Telehealth Trends and Hypertension Management Among Rural and Medicaid Patients After COVID-19

Objective: Examine the associations between rurality and low income with primary care telehealth utilization and hypertension outcomes across multiple years pre- and post-COVID-19 pandemic onset. Methods: We compiled electronic health record data from the mixed rural/urban Dartmouth Health system in New Hampshire, United States, on patients with pre-existing hypertension or diabetes receiving primary care in the period before (January 2018-February 2020) and after the transition period to telehealth during the COVID-19 Pandemic (October 2020-December 2022). Stratifying by rurality and Medicaid enrollment, we examined changes in synchronous (office and telehealth visits, including audio/video use) and asynchronous (patient portal or telephone message) utilization, and control of mean systolic blood pressure (SBP) <140. Results: Analysis included 46,520 patients, of whom 8.2% were Medicaid enrollees, 42.7% urban residents. Telehealth use rates were 12% for rural versus 6.4% for urban, and 15% for Medicaid versus 8.4% non-Medicaid. The overall postpandemic telehealth visit rate was 0.29 per patient per year. Rural patients had a larger increase in telehealth use (additional 0.21 per year, 95% CI, 0.19-0.23) compared with urban, as did Medicaid (0.32, 95% CI 0.29-0.36) compared with non-Medicaid. Among the 38,437 patients with hypertension, SBP control worsened from 83% to 79% of patients across periods. In multivariable analysis, rurality corresponded to worsened control rates compared with urban (additional 2.4% decrease, 95% CI 2.1-2.8%); Medicaid and telehealth use were not associated with worsened control. Conclusions: Telehealth expansion enabled a higher shift to telehealth for rural and low-income patients without impairing hypertension management.

Utilization and Patient-Reported Outcomes of Direct-to-Consumer Telemedicine During the First 6 Weeks of the COVID-19 Pandemic in the Largest Pediatric Ambulatory Network in New York State

Objective: We aimed to (1) describe telemedicine utilization and usability during the first 6 weeks of the pandemic and (2) determine if usability varied by individual- or visit-level characteristics. Methods: We conducted a retrospective cohort study of ambulatory pediatric telemedicine visits occurring between March 10, 2020, and April 18, 2020, across a large academic health system. We performed manual chart review to assess individual- and visit-level characteristics and invited caregivers to respond to an adapted Telehealth Usability Questionnaire (TUQ). We used multiple logistic regression to determine predictors of high usability. Results: There were 3,197 ambulatory pediatric telemedicine visits, representing 2,967 unique patients. Patients were racially/ethnically diverse (42.5% non-Hispanic White) and primarily English-speaking (89.2%). Surveys were completed by 441 (17%) of those invited. Every item of the TUQ had agreement or strong agreement from the majority of respondents. Compared with non-Hispanic White, non-Hispanic Asian identity was associated with lower usability in three domains and overall, and non-Hispanic Black identity was associated with higher satisfaction and future use. As compared with caregivers of infants younger than 1 year, caregivers of older patients reported lower usability in the three domains. Conclusions: Telemedicine was successfully implemented across 18 ambulatory pediatric specialties in the largest health system in New York State at the onset of COVID-19, and caregivers found it usable and acceptable. Usability scores did not vary by visit-level characteristics but did vary by race/ethnicity and age. Further research is necessary to identify modifiable drivers of the patient experience, particularly in non-Hispanic Asian communities and older adolescents.

Utilizing disease transmission and response capacities to optimize covid-19 control in Malaysia

OBJECTIVES

Public Health Social Measures (PHSM) such as movement restriction movement needed to be adjusted accordingly during the COVID-19 pandemic to ensure low disease transmission alongside adequate health system capacities based on the COVID-19 situational matrix proposed by the World Health Organization (WHO). This paper aims to develop a mechanism to determine the COVID-19 situational matrix to adjust movement restriction intensity for the control of COVID-19 in Malaysia.

METHODS

Several epidemiological indicators were selected based on the WHO PHSM interim guidance report and validated individually and in several combinations to estimate the community transmission level (CT) and health system response capacity (RC) variables. Correlation analysis between CT and RC with COVID-19 cases was performed to determine the most appropriate CT and RC variables. Subsequently, the CT and RC variables were combined to form a composite COVID-19 situational matrix (SL). The SL matrix was validated using correlation analysis with COVID-19 case trends. Subsequently, an automated web-based system that generated daily CT, RC, and SL was developed.

RESULTS

CT and RC variables were estimated using case incidence and hospitalization rate; Hospital bed capacity and COVID-19 ICU occupancy respectively. The estimated CT and RC were strongly correlated [ρ = 0.806 (95% CI 0.752, 0.848); and ρ = 0.814 (95% CI 0.778, 0.839), p < 0.001] with the COVID-19 cases. The estimated SL was strongly correlated with COVID-19 cases (ρ = 0.845, p < 0.001) and responded well to the various COVID-19 case trends during the pandemic. SL changes occurred earlier during the increase of cases but slower during the decrease, indicating a conservative response. The automated web-based system developed produced daily real-time CT, RC, and SL for the COVID-19 pandemic.

CONCLUSIONS

The indicators selected and combinations formed were able to generate validated daily CT and RC levels for Malaysia. Subsequently, the CT and RC levels were able to provide accurate and sensitive information for the estimation of SL which provided valuable evidence on the progression of the pandemic and movement restriction adjustment for the control of Malaysia.

Impact of COVID-19 pandemic on breast cancer screening in a large midwestern United States academic medical center

BACKGROUND

Access to breast screening mammogram services decreased during the COVID-19 pandemic. Our objectives were to estimate: 1) the COVID-19 affected period, 2) the proportion of pandemic-associated missed or delayed screening encounters, and 3) pandemic-associated patient attrition in screening encounters overall and by sociodemographic subgroup.

METHODS

We included screening mammogram encounter EPIC data from 1-1-2019 to 12-31-2022 for females ≥40 years old. We used Bayesian State Space models to describe weekly screening mammogram counts, modeling an interruption that phased in and out between 3-1-2020 and 9-1-2020. We used the posterior predictive distribution to model differences between a predicted, uninterrupted process and the observed screening mammogram counts. We estimated associations between race/ethnicity and age group and return screening mammogram encounters during the pandemic among those with 2019 encounters using logistic regression.

RESULTS

Our analysis modeling weekly screening mammogram counts included 231,385 encounters (n = 127,621 women). Model-estimated screening mammograms dropped by >98% between 03-15-2020 and 05-24-2020 followed by a return to pre-pandemic levels or higher with similar results by race/ethnicity and age group. Among 79,257 women, non-Hispanic (NH) Asians, NH Blacks, and Hispanics had significantly (p < .05) lower odds of screening encounter returns during 2020-2022 vs. NH Whites with odds ratios (ORs) from 0.70 to 0.91. Among 79,983 women, those 60-69 had significantly higher odds of any return screening encounter during 2020-2022 (OR = 1.28), while those ≥80 and 40-49 had significantly lower odds (ORs 0.77, 0.45) than those 50-59 years old. A sensitivity analysis suggested a possible pre-existing pattern.

CONCLUSIONS

These data suggest a short-term pandemic effect on screening mammograms of ~2 months with no evidence of disparities. However, we observed racial/ethnic disparities in screening mammogram returns during the pandemic that may be at least partially pre-existing. These results may inform future pandemic planning and continued efforts to eliminate mammogram screening disparities.

The impact of COVID-19 on psychiatric clinical encounters among low-income racially-diverse children

BACKGROUND

There is a lack of longitudinal data to examine the impact of COVID-19 on all types of clinical encounters among United States, underrepresented BIPOC (Black, Indigenous, and people of color), children. This study aims to examine the changes in all the outpatient clinical encounters during the pandemic compared to the baseline, with particular attention to psychiatric encounters and diagnoses.

METHOD

This study analyzed 3-year (January 2019 to December 2021) longitudinal clinical encounter data from 3,394 children in the Boston Birth Cohort, a US urban, predominantly low-income, Black and Hispanic children. Outcomes of interest were completed outpatient clinical encounters and their modalities (telemedicine vs. in person), including psychiatric care and diagnoses, primary care, emergency department (ED), and developmental and behavioral pediatrics (DBP).

RESULTS

The study children's mean (SD) age is 13.9 (4.0) years. Compared to 2019, psychiatric encounters increased by 38% in 2020, most notably for diagnoses of adjustment disorders, depression, and post-traumatic stress disorders (PTSD). In contrast, primary care encounters decreased by 33%, ED encounters decreased by 55%, and DBP care decreased by 16% in 2020. Telemedicine was utilized the most for psychiatric and DBP encounters and the least for primary care encounters in 2020. A remarkable change in 2021 was the return of primary care encounters to the 2019 level, but psychiatric encounters fluctuated with spikes in COVID-19 case numbers.

CONCLUSIONS

Among this sample of US BIPOC children, compared to the 2019 baseline, psychiatric encounters increased by 38% during 2020, most notably for the new diagnoses of adjustment disorder, depression, and PTSD. The 2021 data showed a full recovery of primary care encounters to the baseline level but psychiatric encounters remained sensitive to the pandemic spikes. The long-term impact of the pandemic on children's mental health warrants further investigation.

Variation in telemedicine usage in gynecologic cancer: Are we widening or narrowing disparities?

INTRODUCTION

Telemedicine rapidly increased with the COVID-19 pandemic and could reduce cancer care disparities. Our objective was to evaluate sociodemographic (race, insurance), patient, health system, and cancer factors associated with telemedicine use in gynecologic cancers.

METHODS

We conducted a retrospective cohort study of patients with endometrial cancer and epithelial ovarian cancer with at least one visit from March 2020 to October 2021, using a real-world electronic health record-derived database, representing approximately 800 sites in US academic (14%) and community practices (86%). We used multivariable Poisson regression modeling to analyze the association of ever using telemedicine with patient, sociodemographic, health system, and cancer factors.

RESULTS

Of 3950 patients with ovarian cancer, 1119 (28.3%) had at least one telemedicine visit. Of 2510 patients with endometrial cancer, 720 (28.7%) had at least one telemedicine visit. At community cancer practices, patients who identified as Black were less likely to have a telemedicine visit than patients who identified as white in both ovarian and endometrial cancer (Ovarian: RR 0.62, 95% CI 0.42-0.9; Endometrial: RR 0.56, 95% CI 0.38-0.83). Patients in the Southeast, Midwest, West, and Puerto Rico were less likely to have telemedicine visits than patients in the Northeast. Uninsured patients were less likely, and patients with Medicare were more likely, to have one or more telemedicine visit than patients with private insurance.

CONCLUSIONS

In this national cohort study, <30% of patients ever used telemedicine, and significant racial and regional disparities existed in utilization. Telemedicine expansion efforts should include programs to improve equity in access to telemedicine.

Virtual and in-person visits by Ontario physicians in the COVID-19 era

INTRODUCTION

We examined the coronavirus disease 2019 (COVID-19) pandemic impact on weekly trends in the billing of virtual and in-person physician visits in Ontario, Canada.

METHODS

In this retrospective cohort study, physician billing records from Ontario were aggregated on a weekly basis for in-person and virtual visits from 3 January 2016 to 27 March 2021. For each type of visit, a segmented negative binomial regression analysis was performed to estimate the weekly pre-pandemic trend in billing volume per thousand adults (3 January 2016 to 14 March 2020), the immediate change in mean volume at the start of the pandemic, and additional change in weekly volume in the pandemic era (15 March 2020 to 27 March 2021).

RESULTS

Before the start of the pandemic, the weekly volume of virtual visits per thousand adults was low with a 0.5% increase per week (rate ratio [RR]: 1.0053, 95% confidence interval [CI]: 1.0050-1.0056). A dramatic 65% reduction in in-person visits (RR: 0.35, 95% CI: 0.32-0.39) occurred at the start of the pandemic while virtual visits grew by 21-fold (RR: 21.3, 95% CI: 19.6-23.0). In the pandemic era, in-person visits rose by 1.4% per week (RR: 1.014, 95% CI: 1.011-1.017) but no change was observed for virtual visits (p-value = 0.31). Overall, we noted a 57.6% increase in total weekly physician visits volume after the start of the pandemic.

DISCUSSION

These results are meaningful for virtual care reimbursement models. Future study needs to assess the quality of care and whether the increase in virtual care volume is cost-effective to society.

Analysis of Alcohol Use and Alcohol Use Disorder Trends in U.S. Active-Duty Service Women

Introduction: Alcohol use (AU) and disorders (AUDs) have been increasing among women over the past decade, with the largest increases among women of child-bearing age. Unprecedented stressors during the COVID-19 pandemic may have impacted AU for women with and without children. Little is known about how these trends are impacting women in the military. Methods: Cross-sectional study of active-duty service women (ADSW) in the U.S. Army, Air Force, Navy, and Marine Corps during fiscal years (FY) 2016-2021. We report the prevalence of AU and AUD diagnoses by FY, before/during the COVID-19 pandemic (2016-2019; 2020-2021, respectively), and by parental status. Log-binomial and logistic regressions examined associations of demographics, military, and family structure characteristics, with AU and AUD, during pre-COVID-19 and COVID-19 timeframes. Results: We identified 281,567 ADSW in the pre-COVID-19 period and 237,327 ADSW in the during COVID-19 period. The prevalence of AU was lower during the COVID-19 period (47.9%) than during the pre-COVID-19 period (63.0%); similarly, the prevalence of AUD was lower during the COVID-19 period (2.7%) than during the pre-COVID period (4.0%). ADSW with children had larger percentage decreases during the COVID-19 period. ADSW with children had a consistently lower prevalence and odds of AUD compared with ADSW without children in the pre- and during COVID-19 periods. Conclusion: Decreasing trends in AU and AUD among ADSW were unexpected. However, the prevalence of AU and AUD may not have been accurately captured during the COVID-19 period due to reductions in access to care. Continued postpandemic comparison of AU/AUD among women by parental status and demographic factors may guide targeted health efforts.

Impact of the COVID-19 pandemic on utilization and cost for care of pediatric and young adult ALL

OBJECTIVE

Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy and among the most common malignancies in young adults and requires a unique pattern of healthcare utilization including an acute/emergent presentation and an intensive initial 8 months of therapy followed by two years of outpatient treatment. The COVID-19 pandemic caused massive global disruptions in healthcare use and delivery. This report aims to examine the effects of the COVID-19 pandemic on the presentation, diagnosis and continued management of childhood and young adult ALL in regard to utilization and cost of care among commercially insured individuals in the United States.

RESULTS

Utilizing a commercial insurance claims database, 529 pediatric and young adult patients were identified who were diagnosed with ALL between January 2016 and March 2021. New diagnoses were evaluated by era and demographics. Utilization was measured by COVID-related era as number of inpatient and outpatient encounters, inpatient days, and cumulative cost during the initial 8 months of therapy. None of these cost or utilization factors changed significantly during or shortly after the pandemic. These findings reinforce that the necessary care for pediatric and young adult ALL was unwavering despite the massive shifts in the healthcare system caused by the COVID-19 pandemic. This provides a valuable benchmark as we further examine the factors that influence the pandemic's impact on health equity and access to care, especially in vulnerable pediatric and young adult populations. This is the first investigation of the effect of the COVID-19 pandemic on utilization and cost of care in pediatric and young adult cancer.

The role of increasing synchronous telehealth use during the COVID-19 pandemic on disparities in access to healthcare: A systematic review

INTRODUCTION

The COVID-19 public health emergency led to an unprecedented rapid increase in telehealth use, but the role of telehealth in reducing disparities in access to care has been questioned. The objective of this study was to conduct a systematic review to summarize the available evidence on how telehealth during the COVID-19 pandemic was associated with telehealth utilization for minority groups and its role in health disparities.

METHODS

We conducted a systematic review focused on health equity and access to care by searching for interventional and observational studies using the following four search domains: telehealth, COVID-19, health equity, and access to care. We searched PubMed, Embase, Cochrane CENTRAL, CINAHL, telehealth.hhs.gov, and the Rural Health Research Gateway, and included any study that reported quantitative results with a control group.

RESULTS

Our initial search yielded 1970 studies, and we included 48 in our final review. The most common dimensions of health equity studied were race/ethnicity, rurality, insurance status, language, and socioeconomic status, and the telehealth applications studied were diverse. Included studies had a moderate risk of bias. In aggregate, most studies reported increased telehealth use during the pandemic, with the greatest increase in non-minority populations, including White, younger, English-speaking people from urban areas.

DISCUSSION

We found that despite rapid adoption and increased telehealth use during the public health emergency, telehealth did not reduce existing disparities in access to care. We recommend that future work measuring the impact of telehealth focus on equity so that features of telehealth innovation can reduce disparities in health outcomes.

Impact of COVID-19 on urgent care diagnoses and the new AXR metric

We examined the antibiotic prescribing rate for respiratory diagnoses (AXR) before and after onset of the COVID-19 pandemic in urgent care clinics. At the onset, AXR declined substantially due to changes in case mix. Using AXR as a stewardship metric requires monitoring of changes in case mix.

Risk of Potentially Preventable Hospitalizations After SARS-CoV-2 Infection

Importance

Research demonstrates that SARS-CoV-2 infection is associated with increased risk of all-cause hospitalization. However, no prior studies have assessed the association between SARS-CoV-2 and potentially preventable hospitalizations-that is, hospitalizations for conditions that can usually be effectively managed in ambulatory care settings.

Objective

To examine whether SARS-CoV-2 is associated with potentially preventable hospitalization in a nationwide cohort of US veterans.

Design, Setting, and Participants

This cohort study used an emulated target randomized trial design with monthly sequential trials to compare risk of a potentially preventable hospitalization among veterans with SARS-CoV-2 and matched comparators without SARS-CoV-2. A total of 189 136 US veterans enrolled in the Veterans Health Administration (VHA) who were diagnosed with SARS-CoV-2 between March 1, 2020, and April 30, 2021, and 943 084 matched comparators were included in the analysis. Data were analyzed from May 10, 2023, to January 26, 2024.

Exposure

SARS-CoV-2 infection.

Main Outcomes and Measures

The primary outcome was a first potentially preventable hospitalization in VHA facilities, VHA-purchased community care, or Medicare fee-for-service care. Extended Cox models were used to examine adjusted hazard ratios (AHRs) of potentially preventable hospitalization among veterans with SARS-CoV-2 and comparators during follow-up periods of 0 to 30, 0 to 90, 0 to 180, and 0 to 365 days. The start of follow-up was defined as the date of each veteran's first positive SARS-CoV-2 diagnosis, with the same index date applied to their matched comparators.

Results

The 1 132 220 participants were predominantly men (89.06%), with a mean (SD) age of 60.3 (16.4) years. Most veterans were of Black (23.44%) or White (69.37%) race. Veterans with SARS-CoV-2 and comparators were well-balanced (standardized mean differences, all <0.100) on observable baseline clinical and sociodemographic characteristics. Overall, 3.10% of veterans (3.81% of those with SARS-CoV-2 and 2.96% of comparators) had a potentially preventable hospitalization during 1-year follow-up. Risk of a potentially preventable hospitalization was greater among veterans with SARS-CoV-2 than comparators in 4 follow-up periods: 0- to 30-day AHR of 3.26 (95% CI, 3.06-3.46); 0- to 90-day AHR of 2.12 (95% CI, 2.03-2.21); 0- to 180-day AHR of 1.69 (95% CI, 1.63-1.75); and 0- to 365-day AHR of 1.44 (95% CI, 1.40-1.48).

Conclusions and Relevance

In this cohort study, an increased risk of preventable hospitalization in veterans with SARS-CoV-2, which persisted for at least 1 year after initial infection, highlights the need for research on ways in which SARS-CoV-2 shapes postinfection care needs and engagement with the health system. Solutions are needed to mitigate preventable hospitalization after SARS-CoV-2.

A Nationally Representative Summary of 2020 Changes in the Use of Health Care in the United States

The COVID-19 pandemic produced an unprecedented shock to the U.S. health care system. Prior literature documenting 2020 changes has been limited to certain types of care or subsets of patients. We use the nationally representative Medical Expenditure Panel Survey to summarize changes in all types of health care from 2018 through 2020. Outpatient visits, emergency department visits, and inpatient admissions each fell about 35% in April 2020. Dental visits fell over 80%. Ophthalmology visits declined 71% and mammograms 82%. Psychiatric visits rose slightly (1.6%). By the end of 2020, specialist physician visits recovered, though primary care and dental visits remained 12% lower than 2019.

Telehealth for Chronic Disease Management Among Vulnerable Populations

Chronic diseases disproportionately affect patients in low-income minority groups who traditionally use in-person healthcare services. COVID-19 disrupted their routines and limited options for people to receive care; this could exacerbate health inequities. The study examined telehealth chronic disease management among low-income minority groups. We used Florida Medicaid claims data from March to December 2020 and the American Consumer Survey to examine the study objectives. Data were analyzed using Linear and Logistic Regression. We retrieved claim records of 52,904 unique patients; 31,999 were female and 49% of the sample had at least one telehealth visit. Medicaid patients were 8% less likely to use telehealth and 21% more likely to have audio visits when compared to Medicare patients. The analyses suggest that Non-Hispanic Black patients and individuals with a lack of education experience significant health inequities. People with chronic obstructive pulmonary disease (5%) and heart failure (14%) were less likely to use telehealth than patients with diabetes. Telehealth will continue to be a health delivery option; thus we recommend that strategies are enacted to educate, and resources are provided to promote equity among Non-Hispanic Black patients. Without priority attention to people among low-income minority populations, health inequities will continue to plague this community.

Trends in Incident Prescriptions for Behavioral Health Medications in the US, 2018-2022

Importance

The COVID-19 pandemic reportedly increased behavioral health needs and impacted treatment access.

Objective

To assess changes in incident prescriptions dispensed for medications commonly used to treat depression, anxiety, attention-deficit/hyperactivity disorder (ADHD), and opioid use disorder (OUD), before and during the COVID-19 pandemic.

Design, Setting, and Participants

This was a cross-sectional study using comprehensive, population-level, nationally projected data from IQVIA National Prescription Audit on incident prescriptions (prescriptions dispensed to patients with no prior dispensing from the same drug class in the previous 12 months) dispensed for antidepressants, benzodiazepines, Schedule II (C-II) stimulants, nonstimulant medications for ADHD, and buprenorphine-containing medication for OUD (MOUD), from US outpatient pharmacies. Data were analyzed from April 2018 to March 2022.

Exposure

Incident prescriptions by drug class (by prescriber specialty, patient age, and sex) and drug.

Main Outcomes and Measures

Interrupted time-series analysis to compare changes in trends in the monthly incident prescriptions dispensed by drug class and percentage changes in aggregate incident prescriptions dispensed between April 2018 and March 2022.

Results

Incident prescriptions dispensed for the 5 drug classes changed from 51 500 321 before the COVID-19 pandemic to 54 000 169 during the pandemic. The largest unadjusted percentage increase in incident prescriptions by prescriber specialty was among nurse practitioners across all drug classes ranging from 7% (from 1 811 376 to 1 944 852; benzodiazepines) to 78% (from 157 578 to 280 925; buprenorphine MOUD), whereas for patient age and sex, the largest increases were within C-II stimulants and nonstimulant ADHD drugs among patients aged 20 to 39 years (30% [from 1 887 017 to 2 455 706] and 81% [from 255 053 to 461 017], respectively) and female patients (25% [from 2 352 095 to 2 942 604] and 59% [from 395 678 to 630 678], respectively). Trends for C-II stimulants and nonstimulant ADHD drugs (slope change: 4007 prescriptions per month; 95% CI, 1592-6422 and 1120 prescriptions per month; 95% CI, 706-1533, respectively) significantly changed during the pandemic, exceeding prepandemic trends after an initial drop at the onset of the pandemic (level changes: -50 044 prescriptions; 95% CI, -80 202 to -19 886 and -12 876 prescriptions; 95% CI, -17 756 to -7996, respectively). Although buprenorphine MOUD dropped significantly (level change: -2915 prescriptions; 95% CI, -5513 to -318), trends did not significantly change for buprenorphine MOUD, antidepressants, or benzodiazepines.

Conclusions and Relevance

Incident use of many behavioral health medications remained relatively stable during the COVID-19 pandemic in the US, whereas ADHD medications, notably C-II stimulants, sharply increased. Additional research is needed to differentiate increases due to unmet need vs overprescribing, highlighting the need for further ADHD guideline development to define treatment appropriateness.

Incidence and disease burden of autoimmune inflammatory rheumatic diseases after non-pharmaceutical interventions in the COVID-19 era: A nationwide observational study in Korea

BACKGROUND

Infections are considered risk factors for autoimmune inflammatory rheumatic diseases (AIRDs), the incidence of which is considered to have been impacted by the COVID-19 pandemic. The impact of non-pharmaceutical interventions (NPIs) on the incidence of AIRDs and their associated health care services and medical expenses in Korea was investigated.

METHODS

We included all AIRD cases reported between January 2016 and February 2021 based on the National Health Insurance Service data. We evaluated changes in incidence trends for each AIRD before and after NPI implementation (Feb 2020 to Feb 2021) using segmented regression analysis. Changes in health care utilization and medical costs for each AIRD before and after NPI implementation were also investigated.

RESULTS

After NPI implementation, monthly incidence rates declined significantly by 0.205 per 1 000 000 (95% confidence interval [CI], -0.308 to -0.101, p < .001) in patients with systemic lupus erythematosus (SLE). No significant changes in the incidence of all AIRDs other than SLE were observed before and after implementation. Further, annual outpatient department visits per patient were lower during implementation for all diseases, except juvenile idiopathic arthritis (JIA). The prescription days per outpatient visit increased significantly during implementation for all diseases, except JIA and ankylosing spondylitis. During implementation, the total annual medical costs per patient tended to decrease for all diseases, except JIA and mixed connective tissue disease.

CONCLUSION

Implementation of NPIs to contain the pandemic led to a reduction in the incidence of SLE and changed patterns of medical care utilization and treatment cost for most AIRDs.

Integration of Telemedicine Consultation Into a Tertiary Radiation Oncology Department: Predictors of Use, Treatment Yield, and Effects on Patient Population

PURPOSE

The COVID-19 pandemic led to rapid expansion of telemedicine. The implications of telemedicine have not been rigorously studied in radiation oncology, a procedural specialty. This study aimed to evaluate the characteristics of in-person patients (IPPs) and virtual patients (VPs) who presented to a large cancer center before and during the pandemic and to understand variables affecting likelihood of receiving radiotherapy (yield) at our institution.

METHODS

A total of 17,915 patients presenting for new consultation between 2019 and 2021 were included, stratified by prepandemic and pandemic periods starting March 24, 2020. Telemedicine visits included video and telephone calls. Area deprivation indices (ADIs) were also compared.

RESULTS

The overall population was 56% male and 93% White with mean age of 63 years. During the pandemic, VPs accounted for 21% of visits, were on average younger than their in-person (IP) counterparts (63.3 years IP v 62.4 VP), and lived further away from clinic (215 miles IP v 402 VP). Among treated VPs, living closer to clinic was associated with higher yield (odds ratio [OR], 0.95; P < .001). This was also seen among IPPs who received treatment (OR, 0.96; P < .001); however, the average distance from clinic was significantly lower for IPPs than VPs (205 miles IP v 349 VP). Specialized radiotherapy (proton and brachytherapy) was used more in VPs. IPPs had higher ADI than VPs. Among VPs, those treated had higher ADI (P < .001).

CONCLUSION

Patient characteristics and yield were significantly different between IPPs and VPs. Telemedicine increased reach to patients further away from clinic, including from rural or health care-deprived areas, allowing access to specialized radiation oncology care. Telemedicine has the potential to increase the reach of other technical and procedural specialties.

Direct Admission Program Implementation: A Qualitative Analysis of Variation Across Health Systems

OBJECTIVES

Direct admission (DA) to the hospital has the potential to improve family satisfaction and timeliness of care by bypassing the emergency department. Using the RE-AIM implementation framework, we sought to characterize variation across health systems in the reach, effectiveness, adoption, and implementation of a DA program from the perspectives of parents and multidisciplinary clinicians.

METHODS

As part of a stepped-wedge cluster randomized trial to compare the effectiveness of DA to admission through the emergency department, we evaluated DA rates across 69 clinics and 3 health systems and conducted semi-structured interviews with parents and clinicians. We used thematic analysis to identify themes related to the reach, effectiveness, adoption, and implementation of the DA program and applied axial coding to characterize thematic differences across sites.

RESULTS

Of 2599 hospitalizations, 171 (6.6%) occurred via DA, with DA rates varying 10-fold across health systems from 0.9% to 9.3%. Through the analysis of 137 interviews, including 84 with clinicians and 53 with parents, we identified similarities across health systems in themes related to perceived program effectiveness and patient and family engagement. Thematic differences across sites in the domains of program implementation and clinician adoption included variation in transfer center efficiency, trust between referring and accepting clinicians, and the culture of change within the health system.

CONCLUSIONS

The DA program was adopted variably, highlighting unique challenges and opportunities for implementation in different hospital systems. These findings can inform future quality improvement efforts to improve transitions to the hospital.

The Influence of the COVID-19 Pandemic on Hospitalizations for Ambulatory Care-Sensitive Conditions in Split-Dalmatia County, Croatia

Background and Objectives: We aimed to explore whether the COVID-19 pandemic influenced hospitalizations for ambulatory care-sensitive conditions (ACSCs) in Split-Dalmatia County, Croatia. Materials and Methods: We performed a cross-sectional comparative study using two different time periods, the pre-pandemic (from March 2019 to February 2020) and the pandemic period (from March 2020 to February 2021), to explore the possible influences that the COVID-19 pandemic had on hospitalizations for ACSCs. The ACSCs were classified into the categories of vaccine-preventable, chronic, and acute disease. The indicators were statistically analyzed. Results: During the pandemic, a decrease in the total number of hospitalizations and ACSC hospitalizations was recorded. The relative risk for having any ACSC hospitalization in the pandemic period compared to the pre-pandemic period was 0.67 (95% CI, 0.64-0.71; p = 0). The risk reduction was seen in all three categories of vaccine-preventable ACSCs, chronic disease, and acute disease. Large reductions were found in the relative risk of hospitalization for COPD and asthma. Considering the mode of discharge, there was a statistically significantly higher risk of ACSCs with fatal outcomes during the pandemic than in the pre-pandemic period (relative risk 1.31; 95% CI, 1.01-1.7; p = 0.0197). Conclusions: The results of this study show that the COVID-19 pandemic influenced the total number of hospitalizations as well as hospitalizations relating to ACSCs. Certainly, one of the reasons for these changes was due to organizational changes in the working of the entire health system due to the COVID-19 pandemic.

Determinants of Human Papillomavirus (HPV) vaccination intentions among young adult college students using the theory of planned behavior

Purpose: To determine college students' intentions to be Human Papillomavirus (HPV) vaccinated. Methods: The study was comprised of college students aged 18-45 years. A survey was developed based on the Theory of Planned Behavior (TPB). The significance of the TPB constructs-attitude, subjective norms, and perceived behavioral control-and an additional construct-knowledge-in predicting intention were assessed. Results: The regression model containing attitude, subjective norms and perceived behavioral control accounted for 40% of the variance in intention. Attitude and subjective norms were significant predictors, while perceived behavioral control was not. Provider recommendation was the only significant covariate. Knowledge did not significantly contribute to the model. Discussion: The TPB was useful in predicting HPV vaccination intentions. A focus on attitude, subjective norms and provider recommendation may be useful in creating new or enhancing existing interventions.

Head and Neck Cancer Incidence in the United States Before and During the COVID-19 Pandemic

Importance

Research about population-level changes in the incidence and stage of head and neck cancer (HNC) associated with the COVID-19 pandemic is sparse.

Objective

To examine the change in localized vs advanced HNC incidence rates before and during the first year of the pandemic.

Design, Setting, and Participants

In this cross-sectional study of patients in the US diagnosed with HNC from 2017 to 2020, the estimated number with cancer of the oral cavity and pharynx (floor of mouth; gum and other mouth; lip; oropharynx and tonsil; and tongue) and larynx were identified from the SEER cancer registry. Subgroup analyses were stratified by race and ethnicity, age, and sex. Data were analyzed after the latest update in April 2023.

Exposure

The COVID-19 pandemic in 2020.

Main Outcomes and Measures

The primary outcomes were the annual incidence rates per 100 000 people for localized HNC (includes both localized and regional stages) and advanced HNC (distant stage) and weighted average annual percentage change from 2019 to 2020. Secondary outcomes included annual percentage change for 2017 to 2018 and 2018 to 2019, which provided context for comparison.

Results

An estimated 21 664 patients (15 341 [71%] male; 10 726 [50%] ≥65 years) were diagnosed with oral cavity and pharynx cancer in 2019 in the US, compared with 20 390 (4355 [70%] male; 10 393 [51%] ≥65 years) in 2020. Overall, the HNC incidence rate per 100 000 people declined from 11.6 cases in 2019 to 10.8 in 2020. The incidence rate of localized cancer declined to 8.8 cases (-7.9% [95% CI, -7.5 to -8.2]) from 2019 to 2020. The localized cancer incidence during the first year of the pandemic decreased the most among male patients (-9.3% [95% CI, -9.2 to -9.5]), Hispanic patients (-12.9% [95% CI, -12.9 to -13.0]), and individuals with larynx cancer (-14.3% [95% CI, -13.6 to -15.0]). No change in the overall incidence rate was found for advanced HNC.

Conclusions and Relevance

In this cross-sectional study, the incidence of localized HNC declined during the first year of the pandemic. A subsequent increase in advanced-stage diagnoses may be observed in later years.

Racial and Ethnic Differences in Telemedicine Use

Importance

Individuals of racial and ethnic minority groups may be less likely to use telemedicine in part due to lack of access to technology (ie, digital divide). To date, some studies have found less telemedicine use by individuals of racial and ethnic minority groups compared with White individuals, and others have found the opposite. What explains these different findings is unclear.

Objective

To quantify racial and ethnic differences in the receipt of telemedicine and total visits with and without accounting for demographic and clinical characteristics and geography.

Design, Setting, and Participants

This cross-sectional study included individuals who were continuously enrolled in traditional Medicare from March 2020 to February 2022 or until death.

Exposure

Race and ethnicity, which was categorized as Black non-Hispanic, Hispanic, White non-Hispanic, other (defined as American Indian/Pacific Islander, Alaska Native, and Asian), and unknown/missing.

Main Outcomes and Measures

Total telemedicine visits (audio-video or audio); total visits (telemedicine or in-person) per individual during the study period. Multivariable models were used that sequentially adjusted for demographic and clinical characteristics and geographic area to examine their association with differences in telemedicine and total visit utilization by documented race and ethnicity.

Results

In this national sample of 14 305 819 individuals, 7.4% reported that they were Black, 5.6% Hispanic, and 4.2% other race. In unadjusted results, compared with White individuals, Black individuals, Hispanic individuals, and individuals of other racial groups had 16.7 (95% CI, 16.1-17.3), 32.9 (95% CI, 32.3-33.6), and 20.9 (95% CI, 20.2-21.7) more telemedicine visits per 100 beneficiaries, respectively. After adjustment for clinical and demographic characteristics and geography, compared with White individuals, Black individuals, Hispanic individuals, and individuals of other racial groups had 7.9 (95% CI, -8.5 to -7.3), 13.2 (95% CI, -13.9 to -12.6), and 9.2 (95% CI, -10.0 to -8.5) fewer telemedicine visits per 100 beneficiaries, respectively. In unadjusted and fully adjusted models, and in 2019 and the second year of the COVID-19 pandemic, Black individuals, Hispanic individuals, and individuals of other racial groups continued to have fewer total visits than White individuals.

Conclusions and Relevance

The results of this cross-sectional study of US Medicare enrollees suggest that although nationally, Black individuals, Hispanic individuals, and individuals of other racial groups received more telemedicine visits during the pandemic and disproportionately lived in geographic regions with higher telemedicine use, after controlling for geographic region, Black individuals, Hispanic individuals, and individuals of other racial groups received fewer telemedicine visits than White individuals.

Changes in Commercial Insurance Claims for Contraceptive Services During the Beginning of the COVID-19 Pandemic-United States, January 2019-September 2020

OBJECTIVE

We describe changes in commercial insurance claims for contraceptive services during the beginning of the COVID-19 pandemic.

METHODS

We analyzed commercial insurance claims using IQVIA PharMetrics Plus data from more than 9 million U.S. females aged 15-49 years, enrolled during any month, January 2019 through September 2020. We calculated monthly rates of outpatient claims for intrauterine devices (IUDs), implants, and injectable contraception and monthly rates of pharmacy claims for contraceptive pills, patches, and rings. We used Joinpoint regression analysis to identify when statistically significant changes occurred in trends of monthly claims rates for each contraceptive method. We calculated monthly percentages of claims for contraceptive counseling via telehealth.

RESULTS

Monthly claims rates decreased for IUDs (-50%) and implants (-43%) comparing February 2020 with April 2020 but rebounded by June 2020. Monthly claims rates for injectables decreased (-19%) comparing January 2019 with September 2020, and monthly claims rates for pills, patches, and rings decreased (-22%) comparing July 2019 with September 2020. The percentage of claims for contraceptive counseling occurring via telehealth was low (<1%) in 2019, increased to 34% in April 2020, and decreased to 9-12% in June-September 2020.

CONCLUSIONS

Substantial changes in commercial insurance claims for contraceptive services occurred during the beginning of the COVID-19 pandemic, including transient decreases in IUD and implant claims and increases in telehealth contraceptive counseling claims. Contraceptive claims data can be used by decision makers to identify service gaps and evaluate use of interventions like telehealth to improve contraceptive access, including during public health emergencies.

Challenges of Using Telemedicine in Hospital Specialty Consultations during the COVID-19 Pandemic in Portugal According to a Panel of Experts

INTRODUCTION

The COVID-19 pandemic has accelerated the adoption of telemedicine as a means of reducing face-to-face contact and protecting professionals and patients. In Portugal, the number of hospital telemedicine consultations has significantly increased. However, the rapid implementation of telemedicine has also led to disparities in access to these services, resulting in inequalities in healthcare delivery. The aim of this study was to identify the main challenges to accessing hospital medical specialty consultations through telemedicine in Portugal during the COVID-19 pandemic. Additionally, this study aimed to establish a consensus on possible solutions for the challenges which were identified.

METHODS

This study used the nominal group technique, which involved a panel of 10 experts. The panel generated a total of 71 ideas, which were then categorized into three groups: A) challenges relating to patients, which impact access to hospital-based medical specialty consultations through telemedicine; B) challenges relating to professionals, institutions and health systems, which impact access to hospital medical specialty consultations through telemedicine; C) recommendations to overcome the challenges faced in adopting telemedicine solutions. Each of the ideas was assessed, scored and ranked based on its relevance considering the study objectives.

RESULTS

This study identified several significant challenges that impacted the adoption of telemedicine in Portugal during the COVID-19 pandemic. The challenges that related to patients (A) that were deemed the most relevant were low digital literacy, lack of information about telemedicine processes, low familiarity with technologies and distrust about the quality of services; the challenges that impacted healthcare professionals, institutions, and health systems (B) and were deemed the most relevant were the lack of integration of telemedicine in the patient's journey, low motivation to adopt telemedicine solutions, poor interoperability between systems, and the absence of the necessary technological equipment. The most relevant recommendations (C) included investing in healthcare institutions, developing clear guidelines for the safety and quality of telemedicine practices, and incorporating telemedicine into the curricula of health professions.

CONCLUSION

This study identified several challenges that impacted the adoption and implementation of telemedicine services for hospital care in Portugal during the pandemic period. These challenges were related to digital health literacy, technological and operational conditions, and reluctance in technological adoption. To overcome these challenges, training programs for healthcare professionals and patients may be necessary, along with investment in technological infrastructures, interoperability between systems, effective communication strategies and the strengthening of specific regulations.

Changes in cancer incidence rates by stage during the COVID-19 pandemic in the US

The coronavirus disease 2019 (COVID-19) pandemic led to health care disruptions and declines in cancer diagnoses in the United States. However, the impact of the pandemic on cancer incidence rates by stage at diagnosis and race and ethnicity is unknown. This cross-sectional study calculated delay- and age-adjusted incidence rates, stratified by stage at diagnosis and race and ethnicity, and rate ratios (RRs) comparing changes in year-over-year incidence rates (eg, 2020 vs 2019) from 2016 to 2020 for 22 cancer types based on data obtained from the Surveillance, Epidemiology, and End Results 22-registry database. From 2019 to 2020, the incidence of local-stage disease statistically significantly declined for 19 of the 22 cancer types, ranging from 4% (RR = 0.96; 95%CI, 0.93-0.98) for urinary bladder cancer to 18% for colorectal (RR = 0.82; 95%CI, 0.81-0.84) and laryngeal (RR = 0.82; 95%CI, 0.78-0.88) cancers, deviating from pre-COVID stable year-over-year changes. Incidence during the corresponding period also declined for 16 cancer types for regional-stage and six cancer types for distant-stage disease. By race and ethnicity, the decline in local-stage incidence for screening-detectable cancers was generally greater in historically marginalized populations. The decline in cancer incidence rates during the first year of the COVID-19 pandemic occurred mainly for local- and regional-stage diseases across racial and ethnic groups. Whether these declines will lead to increases in advanced-stage disease and mortality rates remain to be investigated with additional data years. Nevertheless, the findings reinforce the importance of strengthening the return to preventive care campaigns and outreach for detecting cancers at early and more treatable stages.

Inequalities in healthcare use during the COVID-19 pandemic

The COVID-19 pandemic led to reductions in non-COVID related healthcare use, but little is known whether this burden is shared equally. This study investigates whether reductions in administered care disproportionately affected certain sociodemographic strata, in particular marginalised groups. Using detailed medical claims data from the Dutch universal health care system and rich full population registry data, we predict expected healthcare use based on pre-pandemic trends (2017 - Feb 2020) and compare these expectations with observed healthcare use in 2020 and 2021. Our findings reveal a 10% decline in the number of weekly treated patients in 2020 and a 3% decline in 2021 relative to prior years. These declines are unequally distributed and are more pronounced for individuals below the poverty line, females, older people, and individuals with a migrant background, particularly during the initial wave of COVID-19 hospitalisations and for middle and low urgency procedures. While reductions in non-COVID related healthcare decreased following the initial shock of the pandemic, inequalities persist throughout 2020 and 2021. Our results demonstrate that the pandemic has not only had an unequal toll in terms of the direct health burden of the pandemic, but has also had a differential impact on the use of non-COVID healthcare.

Trends in low-value GP care during the COVID-19 pandemic: a retrospective cohort study

BACKGROUND

Several studies showed that during the pandemic patients have refrained from visiting their general practitioner (GP). This resulted in medical care being delayed, postponed or completely forgone. The provision of low-value care, i.e. care which offers no net benefit for the patient, also could have been affected. We therefore assessed the impact of the COVID-19 restrictions on three types of low-value GP care: 1) imaging for back or knee problems, 2) antibiotics for otitis media acuta (OMA), and 3) repeated opioid prescriptions, without a prior GP visit.

METHODS

We performed a retrospective cohort study using registration data from GPs part of an academic GP network over the period 2017-2022. The COVID-19 period was defined as the period between April 2020 to December 2021. The periods before (January 2017 to April 2020) and after the COVID-19 period (January 2022 to December 2022) are the pre- and post-restrictions periods. The three clinical practices examined were selected by two practicing GPs from a top 30 of recommendations originating from the Dutch GP guidelines, based on their perceived prevalence and relevance in practice (van Dulmen et al., BMC Primary Care 23:141, 2022). Multilevel Poisson regression models were built to examine changes in the incidence rates (IR) of both registered episodes and episodes receiving low-value treatment.

RESULTS

During the COVID-19 restrictions period, the IRs of episodes of all three types of GP care decreased significantly. The IR of episodes of back or knee pain decreased by 12%, OMA episodes by 54% and opioid prescription rate by 13%. Only the IR of OMA episodes remained significantly lower (22%) during the post-restrictions period. The provision of low-value care also changed. The IR of imaging for back or knee pain and low-value prescription of antibiotics for OMA both decreased significantly during the COVID-restrictions period (by 21% and 78%), but only the low-value prescription rate of antibiotics for OMA remained significantly lower (by 63%) during the post-restrictions period. The IR of inappropriately repeated opioid prescriptions remained unchanged over all three periods.

CONCLUSIONS

This study shows that both the rate of episodes as well as the rate at which low-value care was provided have generally been affected by the COVID-19 restrictions. Furthermore, it shows that the magnitude of the impact of the restrictions varies depending on the type of low-value care. This indicates that deimplementation of low-value care requires tailored (multiple) interventions and may not be achieved through a single disruption or intervention alone.

High Prevalence of Borrelia burgdorferi Antibodies in Jaworzno, Poland: A Retrospective Study Revealing Endemic Lyme Borreliosis

BACKGROUND This retrospective study of 704 adult residents of Jaworzno, Poland, aimed to evaluate medical personnel awareness of episodes of Lyme borreliosis and serum antibody levels for Borrelia burgdorferi sensu lato. MATERIAL AND METHODS This study included 704 residents of Jaworzno, Poland, who had no more than 12 months between tick bite and screening. The study consisted of a self-designed questionnaire survey and an analysis of IgG and IgM antibodies against B. burgdorferi sensu lato using an enzyme-linked assay (ELISA) and Western blot analysis, when necessary, to confirm the results. RESULTS A total of 558 residents (79.3%) confirmed having contact with a tick, 84 (11.9%) responded that they did not remember having contact with a tick, and 62 (8.8%) denied having contact with a tick. Regarding IgG, the ELISA showed 183 (25.99%) positive, 440 (62.5%) negative, and 81 (11.5%) equivocal results. Regarding IgM, the ELISA showed 180 (25.57%) positive, 435 (61.79%) negative, and 89 (12.64%) equivocal results. Positive and equivocal results for the IgG and IgM classes using the ELISA test were confirmed in 36 cases (13.64%) for IgG and in 53 cases (19.70%) for IgM using Western blot analysis. CONCLUSIONS The ELISA method obtained similar values for positive, negative, and equivocal results in the serological test. This was reflected in the survey conducted on residents who reported a tick bite and later received a positive result in the ELISA test as well as an approximate time between the bite and removal of the tick.

Effect of COVID-19 on Bronchiectasis Exacerbation Rates: A Retrospective U.S. Insurance Claims Study

Rationale: Bronchiectasis is a chronic, progressive disease of bronchial dilation, inflammation, and scarring leading to impaired mucociliary clearance and increased susceptibility to infection. Identified causes include previous severe respiratory infections. A small, single-center UK study demonstrated a reduction in bronchiectasis exacerbations during the first year of the coronavirus disease (COVID-19) pandemic. No studies have been conducted in a U.S. (commercially insured) cohort to date. Objectives: To explore the impact of the COVID-19 pandemic on the frequency of exacerbations in a large cohort of commercially insured U.S. patients with bronchiectasis by testing the hypothesis that U.S. patients with bronchiectasis had fewer exacerbations during the pandemic. Methods: This retrospective observational cohort study used health insurance claims data from Optum's deidentified Clinformatics Data Mart database, which included U.S. patients and their covered dependents. Eligible patients were ⩾18 years of age with bronchiectasis; patients with other respiratory conditions were excluded. The main study cohort excluded patients with frequent asthma and/or chronic obstructive pulmonary disease diagnoses. The primary objective was to compare the bronchiectasis exacerbation rates before and during the COVID-19 pandemic. Results: The median number of exacerbations per patient per year decreased significantly from the year before the COVID-19 pandemic to the first year of the pandemic (1 vs. 0; P < 0.01). More patients had zero exacerbations during the first year of the pandemic than the year prior (57% vs. 24%; McNemar's chi-square = 122.56; P < 0.01). Conclusions: In a U.S. population-based study of patients with International Classification of Diseases codes for bronchiectasis, the rate of exacerbations during Year 1 of the COVID-19 pandemic was reduced compared with the 2-year time period preceding the pandemic.

Trends in the Incidence of Cardiovascular Diagnoses and Procedures over the Years 2012-2021 in Israel: The Impact of the COVID-19 Pandemic

Prior studies found reduced incidences of cardiovascular diagnoses and treatments in the initial phase of the COVID-19 pandemic. However, these studies included a limited number of outcomes and did not consider pre-pandemic trends. This study aimed to describe trends in the incidence of cardiovascular diagnoses and treatments over the years 2012-2021 in Israel and to compare the two years of the COVID-19 period with the preceding 8 years. In this retrospective, population-based study, carried out within Clalit Health Services, the incidence rates of cardiovascular outcomes were calculated for individuals aged ≥ 25 (~2.7 million adults per year) during the first (Y1, 3/2020-2/2021) and second (Y2, 3/2021-2/2022) years of COVID-19 and the 8 years prior (3/2012-2/2020). Declines were observed in Y1 compared to 2019 in all diagnoses and treatments: STEMI (-16.3%; 95% CI: -16.6, -16.1), non-STEMI (-16.4%; -16.6, -16.2), AF (-14.1%; -14.2, -14.0), CHF (-7.8%; -7.9, -7.7), CVA (-5.0%; -5.0, -4.9), catheterization (-64.7%; -65.2, -64.2), CABG (-77.7%; -79.2, -76.2), ablation (-21.2%; -22.0, -20.4), pacemaker implantation (-39.3%; -40.7, -37.9), and defibrillator insertion (-12.5%; -13.1, -12.0). Compared with expected rates based on pre-pandemic trends, observed rates were within expected ranges (CHF, CVA, and ablation), less than expected (STEMI, non-STEMI, AF, catheterization, CABG, and pacemaker insertion), or more than expected (defibrillator insertion). In Y2, STEMI, catheterization, and CABG returned to expected rates; non-STEMI and AF were lower than expected; and CHF, CVA, ablation, and pacemaker and defibrillator implantations were higher than expected. Several cardiovascular diagnoses and treatment trends were interrupted by COVID-19. The long-term consequences of these changes should be considered by health policymakers.

Disparities in telehealth utilization during the COVID-19 pandemic: Findings from a nationally representative survey in the United States

Telehealth is an important source of health care during the COVID-19 pandemic. Evidence is scarce regarding disparities in telehealth utilization in the United States. We aimed to investigate the prevalence and factors associated with telehealth utilization among US adults. Our data came from the Health, Ethnicity, and Pandemic Study, a nationally representative survey conducted in October 2020, with 2554 adults ≥ 18 and an oversample of racial/ethnic minorities. Telehealth utilization was measured as self-reported teleconsultation with providers via email, text message, phone, video, and remote patient monitoring during the pandemic. Logistic regressions were performed to examine the association between telehealth use and factors at the individual, household, and community levels. Overall, 43% of the sample reported having used telehealth, representing 114.5 million adults in the nation. East and Southeast Asians used telehealth less than non-Hispanic Whites (OR = 0.5, 95% CI: 0.3-0.8). Being uninsured (compared with private insurance: OR = 0.4, 95% CI: 0.2-0.8), and those with limited broadband coverage in the community (OR = 0.5, 95% CI: 0.3-0.8) were less likely to use telehealth. There is a need to develop and implement more equitable policies and interventions at both the individual and community levels to improve access to telehealth services and reduce related disparities.

Imaging Stewardship: Triage for Neuroradiology MR During Limited-Resource Hours

OBJECTIVES

To decrease call burden on pediatric neuroradiologists, we developed guidelines for appropriate use of MR overnight. These guidelines were implemented using triage by in-house generalist pediatric radiologists. Process measures and balancing measures were assessed during implementation.

METHODS

For this improvement project, interdepartmental consensus guidelines were developed using exploratory mixed-methods design. Implementation of triage used plan-do-study-act cycles. Process measures included reduction in the number of telephone calls, frequency of calls, triage decisions, and number and type of examinations ordered. Balancing measures included burden of time and effort to the generalist radiologists. Differences in examination orders between implementation intervals was assessed using Kruskal-Wallis, with significance at P < .05.

RESULTS

Consensus defined MR requests as "do," "defer," or "divert" (to CT). Guidelines decreased neuroradiologist calls 74% while adding minimal burden to the generalist radiologists. Most nights had zero or one triage request and the most common triage decision was "do," and the most common examination was routine brain MR. Number of MR ordered and completed overnight did not significantly change with triage.

DISCUSSION

Multidisciplinary consensus for use of pediatric neurological MR during limited resource hours overnight is an example of imaging stewardship that decreased the burden of calls and burnout for neuroradiologists while maintaining a comparable level of service to the ordering clinicians.