The impact of the COVID-19 pandemic and policy response on health care utilization: Evidence from county-level medical claims and cellphone data

Impact of the First-Wave COVID-19 Pandemic on Medical Expenditure for Older Adults in China: Lessons from a Natural Experiment

Older adults' access to healthcare services may have been affected by the COVID-19 pandemic. This study explored the effect of the first wave pandemic on the medical expenditure of older adults in China. Difference-in-Difference models captured both temporal and geographical variation in COVID-19 exposure to estimate the impacts of the pandemic on medical expenditure through a quasi-natural experiment. Data derived from the China Family Panel Studies. Results indicate that exposure to the pandemic significantly decreased total medical expenditures, hospital expenditures, and non-hospital medical expenditures of Chinese older adults by 15% (95% CI 12%-17%), 5% (95% CI 2%-7%), and 15% (95% CI 13%-16%), respectively, for each standardized severity increment. Females, less well-educated people, and individuals without internet access were most susceptible to experiencing these reductions. This study revealed that COVID-19 exerted a detrimental influence on the medical expenditure of older adults in mainland China. The "hidden epidemic" of non-COVID-19 medical needs of older adults deserves more attention on the part of policymakers.

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.

BIPOC experiences of (anti-)racist patient engagement in adolescent and young adult oncology research: an electronic Delphi study

Aims: To characterize Black, Indigenous and People of Color (BIPOC) adolescent and young adult (AYA) cancer patients' experiences of patient engagement in AYA oncology and derive best practices that are co-developed by BIPOC AYAs and oncology professionals. Materials & methods: Following a previous call to action from AYA oncology professionals, a panel of experts composed exclusively of BIPOC AYA cancer patients (n = 32) participated in an electronic Delphi study. Results: Emergent themes described BIPOC AYA cancer patients' direct experiences and consensus opinion on recommendations to advance antiracist patient engagement from BIPOC AYA cancer patients and oncology professionals. Conclusion: The findings reveal high-priority practices across all phases of research and are instructional for advancing health equity.

Risk Factors and Trends in Adolescent's Suicide Attempt Rates Before and After the Coronavirus Disease 2019 Pandemic

BACKGROUND

Understanding adolescents' mental health during the coronavirus disease 2019 (COVID-19) pandemic and identifying those most at risk is an urgent public health challenge. This study explored the trend of suicide attempts and the association between loneliness, family financial stress, and suicide attempts during the COVID-19 pandemic among adolescents.

METHODS

Data of the 2020 to 2022 Korea Youth Risk Behavior Surveys for adolescents aged 13-18 years were used. Multivariate logistic regression analyses were performed to examine the association between suicide attempts, family financial stress, and loneliness during the COVID-19 pandemic.

RESULTS

The trend of suicide attempt rates was lowest in 2020 (1.9%, 1,034 out of 53,534) and it showed an increasing trend with rates of 2.2% (1,159 out of 53,445) in 2021 and 2.5% (1,271 out of 50,455) in 2022. The risk of suicide attempt was higher among adolescents who experienced financial stress (in 2020: adjusted odds ratio [AOR], 1.53, 95% confidence interval [CI], 1.26-1.88; in 2021: AOR, 1.63, 95% CI, 1.03-1.54) and felt lonely (in 2020: AOR, 2.19, 95% CI, 1.78-2.70; in 2021: AOR, 2.65, 95% CI, 2.16-3.26; in 2022: AOR, 1.3, 95% CI, 1.04-1.55) than those who did not.

CONCLUSION

The COVID-19 pandemic affected the suicide attempts of adolescents, with financial stress and feelings of loneliness closely linked to this impact. Although the pandemic nears its end, the persistent risk of suicide attempts among adolescents remains a concern. Therefore, it is imperative to implement targeted screening and interventions to address adolescent suicide risk.

The impact of COVID-19 on physical and mental health: A longitudinal study

In this paper, we exploit variation in COVID-19 infections and deaths across Chinese cities to identify the health impacts of COVID-19 based on longitudinal data at the individual level. Our paper provides empirical evidence of the immediate impact of COVID-19 on both physical and mental health. Utilizing a difference-in-differences methodology and focusing on changes in within-individual health condition between pre-COVID-19 and the early stages of COVID-19, we find robust evidence that the COVID-19 pandemic has an adverse effect on self-perceived health condition, chronic illness, sleep, and depression. Our findings are robust to alternative constructions of cities' exposure to COVID-19, to the exclusion of Wuhan city, which was hit the hardest and had experienced the most stringent lockdowns. Furthermore, accounting for the impact of COVID-19 policies, our results indicate that the decline in physical health can be attributed to the shock of the pandemic, while emotional health is mainly affected by anti-contagion policies.

Effects of private health insurance on healthcare services during the MERS Pandemic: Evidence from Korea

This study investigates how private health insurance impacted healthcare services during the MERS pandemic in Korea. Using the Korea Health Panel Study (KHPS), this study examines the difference in healthcare utilization between insured and uninsured individuals during the pandemic. If insured individuals use fewer healthcare services than the uninsured during the MERS pandemic, it could be evidence of moral hazard. During the MERS outbreak, the probability of outpatient medical services utilization was lower by 19 % than during non-pandemic periods. All individuals decreased the number of outpatient visits by 7 %. Insured individuals reduced outpatient visits more than the uninsured in response to the MERS pandemic. The increased outpatient utilization by private health insurance could be attributed to both moral hazard and adverse selection. However, given that people with poor health cannot enroll in private health insurance due to the insurance company's screening process, moral hazard leads to increase healthcare utilization rather than adverse selection.

Trends in Preventive Care Services Among U.S. Adults With Diagnosed Diabetes, 2008-2020

OBJECTIVE

Preventive care services are important to prevent or delay complications associated with diabetes. We report trends in receipt of six American Diabetes Association-recommended preventive care services during 2008-2020.

RESEARCH DESIGN AND METHODS

We used 2008-2020 data from the cross-sectional Medical Expenditures Panel Survey to calculate the proportion of U.S. adults ≥18 years of age with diagnosed diabetes who reported receiving preventive care services, overall and by subpopulation (n = 25,616). We used joinpoint regression to identify trends during 2008-2019. The six services completed in the past year included at least one dental examination, dilated-eye examination, foot examination, and cholesterol test; at least two A1C tests, and an influenza vaccine.

RESULTS

From 2008 to 2020, proportions of U.S. adults with diabetes receiving any individual preventive care service ranged from 32.6% to 89.9%. From 2008 to 2019, overall trends in preventive services among these adults were flat except for an increase in influenza vaccination (average annual percent change: 2.6% [95% CI 1.1%, 4.2%]). Trend analysis of subgroups was heterogeneous: influenza vaccination and A1C testing showed improvements among several subgroups, whereas cholesterol testing (patients aged 45-64 years; less than a high school education; Medicaid insurance) and dental visits (uninsured) declined. In 2020, 8.2% (95% CI 4.5%, 11.9%) of those with diabetes received none of the recommended preventive care services.

CONCLUSIONS

Other than influenza vaccination, we observed no improvement in preventive care service use among U.S. adults with diabetes. These data highlight services and specific subgroups that could be targeted to improve preventive care among adults with diabetes.

The impact of COVID-19 shelter-in-place policy responses on excess mortality

As a way of slowing COVID-19 transmission, many countries and U.S. states implemented shelter-in-place (SIP) policies. However, the effects of SIP policies on public health are a priori ambiguous. Using an event study approach and data from 43 countries and all U.S. states, we measure changes in excess deaths following the implementation of COVID-19 shelter-in-place (SIP) policies. We do not find that countries or U.S. states that implemented SIP policies earlier had lower excess deaths. We do not observe differences in excess deaths before and after the implementation of SIP policies, even when accounting for pre-SIP COVID-19 death rates.

Disease and social factors associated with healthcare utilization for the treatment of SARS-CoV-2 infections in a longitudinal cohort of essential workers in Arizona

BACKGROUND

Demands on health systems due to COVID-19 are substantial, but drivers of healthcare utilization are not well defined in non-severe SARS-CoV-2 infections. Among a prospective cohort of frontline workers from July 2020 to February 2023, we assessed predictors of healthcare utilization during SARS-CoV-2 infection.

METHODS

Weekly specimens tested via real-time reverse transcriptase polymerase chain reaction analysis. Participants reported sociodemographic, health status information, and illness experience information. Primary outcome was healthcare utilization during SARS-CoV-2 infection. Predictors included sociodemographic characteristics, baseline health status, and measures of illness severity. Multivariable logistic regression was utilized to generate odds ratios for predictors of healthcare utilization.

RESULTS

1,923 SARS-CoV-2 infections (1,276 first infections and 647 reinfections from 4,208 participants): 1221 (63.5%) individuals were between 40 and 65 years old; 1115 (58.0%) were female; 449 (23.3%) were Hispanic and 1305 (67.9%) non-Hispanic White. 294 (15.3%) individuals sought medical care during first infection, 106 (5.5%) during reinfection. Sociodemographic and baseline health characteristics were not associated with healthcare utilization during infections from any variant for first infections, while age (OR 1.04, 95%CI 1.01-1.07) was during Omicron reinfection. In first infection, number of symptoms (OR 1.16, 95%CI 1.00-1.36 in Origin/Alpha, OR 1.12, 95%CI 1.00-1.49 in Delta, OR 1.09, 95%CI 1.01-1.16 in Omicron), number of days spent in bed (OR 1.13, 95%CI 1.02-1.33 in Origin/Alpha, OR 1.23, 95%CI 1.00-1.59 in Delta, OR 1.12, 95%CI 1.03-1.22 in Omicron), and illness duration (OR 1.01, 95%CI 1.00-1.04 in Origin/Alpha, OR 1.01, 95%CI 1.00-1.03 in Delta, OR 1.01, 95%CI 1.00-1.02 in Omicron) were related to healthcare utilization for all variants. Number of days in bed (OR 1.12, 95%CI 1.01-1.27), illness duration (OR 1.01, 95%CI 1.00-1.02), and hours of work missed (OR 2.24, 95%CI 1.11-4.74) were positively associated with healthcare utilization during Omicron reinfection.

CONCLUSION

The main factors associated with healthcare utilization for SARS-CoV-2 infection were symptom severity and duration. Practices and therapeutics aimed at decreasing these factors would be most helpful in easing the burden on health systems.

Qualitative analysis of community pharmacy-based COVID-19 immunization service operations

BACKGROUND

The unprecedented coronavirus disease 2019 (COVID-19) pandemic has generated worldwide impacts while positioning community pharmacies as easily accessible immunizers to rollout the COVID-19 vaccine.

OBJECTIVES

This study describes community pharmacists' experiences, success stories, and lessons learned from providing COVID-19 immunization services.

METHODS

This study was conducted in February to March 2022 using semistructured interviews with licensed pharmacists practicing full-time in Alabama community pharmacies. Transcribed interviews' content analysis was conducted by 2 independent coders in ATLAS.ti software.

RESULTS

Nineteen interviews were completed. Pharmacists' experiences in the implementation of COVID-19 immunization services are described across 4 themes: (1) on-site and off-site immunization locations, (2) roles and responsibilities of pharmacy personnel, (3) vaccine storage and administration, and (4) vaccine waste reduction and immunization uptake strategies. This study found that pharmacists' ability to adapt is vital to maintaining their ability to offer immunization services and other services. Pharmacists' capacity for adapting is exemplified through their ability to acclimate to becoming a primary hub of outpatient health care services, accommodating to COVID-19 social distancing and vaccine guidelines, and disseminating a novel vaccine with varying supply and demand. In addition, pharmacies gathered and maintained waitlists of patients and adopted an appointment-based model as to predict, plan, and provide for patients. Pharmacists also used reactive techniques and workflow aspects to dissuade COVID-19 vaccine waste such as in contacting interested patients on waitlists or switching to a walk-in acceptance model. The COVID-19 pandemic elicited unprecedented alterations to the legal, health care responsibilities granted to pharmacy staff with participants describing pharmacy technicians as making a considerable impact to pharmacies' workflow.

CONCLUSIONS

Pharmacists stepped up as frontline providers during a time of public health emergency with their diverse experiences granting policy makers and researchers much to learn from as, in their communities, pharmacists have continued to increase access to care during a national health crisis.

COVID-19 and All-Cause Mortality by Race, Ethnicity, and Age Across Five Periods of the Pandemic in the United States

Racial/ethnic and age disparities in COVID-19 and all-cause mortality during 2020 are well documented, but less is known about their evolution over time. We examine changes in age-specific mortality across five pandemic periods in the United States from March 2020 to December 2022 among four racial/ethnic groups (non-Hispanic White, non-Hispanic Black, Hispanic, and non-Hispanic Asian) for ages 35+. We fit Gompertz models to all-cause and COVID-19 death rates by 5-year age groups and construct age-specific racial/ethnic mortality ratios across an Initial peak (Mar-Aug 2020), Winter peak (Nov 2020-Feb 2021), Delta peak (Aug-Oct 2021), Omicron peak (Nov 2021-Feb 2022), and Endemic period (Mar-Dec 2022). We then compare to all-cause patterns observed in 2019. The steep age gradients in COVID-19 mortality in the Initial and Winter peak shifted during the Delta peak, with substantial increases in mortality at working ages, before gradually returning to an older age pattern in the subsequent periods. We find a disproportionate COVID-19 mortality burden on racial and ethnic minority populations early in the pandemic, which led to an increase in all-cause mortality disparities and a temporary elimination of the Hispanic mortality advantage at certain age groups. Mortality disparities narrowed over time, with racial/ethnic all-cause inequalities during the Endemic period generally returning to pre-pandemic levels. Black and Hispanic populations, however, faced a younger age gradient in all-cause mortality in the Endemic period relative to 2019, with younger Hispanic and Black adults in a slightly disadvantageous position and older Black adults in a slightly advantageous position, relative to before the pandemic.

Staying in or out? COVID-19-induced healthcare utilization avoidance and associated socio-demographic factors in rural India

BACKGROUND

Although evidence on healthcare utilization avoidance during COVID-19 pandemic is emerging, such knowledge is limited in rural settings. An effective policy to the COVID-19 shocks and stresses in rural settings require empirical evidence to inform the design of health policies and programmes. To help overcome this evidence gap and also contribute to policy decisions, this study aimed at examining COVID-19-induced healthcare utilization avoidance and associated factors in rural India.

METHODS

This study used the third-round data from the COVID-19-Related Shocks in Rural India survey conducted between 20-24 September, 2020 across six states. The outcome variable considered in this study was COVID-19-induced healthcare utilization avoidance. Multivariable Binary Logistic Regression Model via Multiple Imputation was used to assess the factors influencing COVID-19-induced healthcare utilization avoidance.

RESULTS

Data on 4,682 respondents were used in the study. Of this, the prevalence of COVID-19-induced healthcare utilization avoidance was 15.5% in rural India across the six states. After adjusting for relevant covariates, participants from the Bihar State have significantly higher likelihood of COVID-19-induced healthcare utilization avoidance compared to those from the Andhra Pradesh. Also, participants whose educational level exceeds high school, those who use government hospital/clinic, engage in daily wage labour in agriculture have significantly higher odds of COVID-19-induced healthcare utilization avoidance compared to their counterparts.

CONCLUSION

Our study revealed that state of residence, type of health facility used, primary work activity and educational level were associated with COVID-19-induced healthcare utilization avoidance in rural India. The findings suggest that policy makers and public health authorities need to formulate policies and design interventions that acknowledge socioeconomic and demographic factors that influence healthcare use avoidance.

Impact of primary care usual provider type and provider interdependence on outcomes for patients with diabetes: a cohort study

BACKGROUND

Interprofessional primary care (PC) teams are key to the provision of high-quality care. PC providers often 'share' patients (eg, a patient may see multiple providers in the same clinic), resulting in between-visit interdependence between providers. However, concern remains that PC provider interdependence will reduce quality of care, causing some organisations to hesitate in creating multiple provider teams. If PC provider teams are formalised, the PC usual provider of care (UPC) type (physician, nurse practitioner (NP) or physician assistant/associate (PA)) should be determined for patients with varying levels of medical complexity.

OBJECTIVE

To evaluate the impact of PC provider interdependence, UPC type and patient complexity on diabetes-specific outcomes for adult patients with diabetes.

DESIGN

Cohort study using electronic health record data from 26 PC practices in central North Carolina, USA.

PARTICIPANTS

Adult patients with diabetes (N=10 498) who received PC in 2016 and 2017.

OUTCOME

Testing for diabetes control, testing for lipid levels, mean glycated haemoglobin (HbA1c) values and mean low-density lipoprotein (LDL) values in 2017.

RESULTS

Receipt of guideline recommended testing was high (72% for HbA1c and 66% for LDL testing), HbA1c values were 7.5% and LDL values were 88.5 mg/dL. When controlling for a range of patient and panel level variables, increases in PC provider interdependence were not significantly associated with diabetes-specific outcomes. Similarly, there were no significant differences in the diabetes outcomes for patients with NP/PA UPCs when compared with physicians. The number and type of a patient's chronic conditions did impact the receipt of testing, but not average values for HbA1c and LDL.

CONCLUSIONS

A range of UPC types on PC multiple provider teams can deliver guideline-recommended diabetes care. However, the number and type of a patient's chronic conditions alone impacted the receipt of testing, but not average values for HbA1c and LDL.

Changes in health care utilization among Medicare beneficiaries with diabetes two years into the COVID-19 pandemic

IMPORTANCE

The coronavirus 2019 (COVID-19) pandemic abruptly impacted health care service delivery and utilization. However, the impact on older adults with diabetes in the United States is unclear.

OBJECTIVE

To estimate changes in health care utilization among older adults with diabetes during the initial 2 years of the COVID-19 pandemic compared to the 2 years before, and to examine the variation in utilization changes by demographic and socioeconomic characteristics.

DESIGN SETTING AND PARTICIPANTS

In this study, we analyzed changes in utilization, measured by the average use of health care services per 1,000 persons with diabetes, using medical claims for Medicare fee-for-service beneficiaries aged 67 years and above. Utilization changes by setting (acute inpatient, emergency room [ER], hospital outpatient, physician office, and ambulatory surgery center [ASC]) and by media (telehealth and in-person) were examined for 22 months of the pandemic (03/2020-12/2021) compared with pre-pandemic period (03/2018-12/2019). We also estimated utilization changes by beneficiaries' age group, sex, race/ethnicity, and residential urbanicity.

RESULTS

The study sample consisted of approximately 6 million beneficiaries with diabetes each month. In the first 2 years of the pandemic, the average use of health care services by setting was 5-17% lower than the pre-pandemic level for all types of services. Phase 1 (03/2020-05/2020) had the largest decrease in utilization: physician office visits changed by -51.2% (95% CI, -55.0% to -47.5%), ASC procedures by -45.1% (95% CI, -49.8% to -40.4%), ER visits by -36.9% (95% CI, -39.0% to -34.7%), acute inpatient stays by -31.5% (95% CI, -33.6% to -29.3%), and hospital outpatient visits by -27% (95% CI, -29.3% to -24.8%). The reduction in utilization varied by sociodemographic subgroup. During the pandemic, the use of telehealth visits increased by 511.1% (95% CI, 502.2% to 520.0%) compared to the pre-pandemic period. The increase was smaller among rural residents.

CONCLUSIONS AND RELEVANCE

Medicare beneficiaries with diabetes experienced a reduction in the use of health care services during the COVID-19 pandemic, some of which persisted through two years into the pandemic. Telehealth visits increased, but not enough to overcome decreases in in-person visits. Understanding these patterns may help to optimize the use of health care resources for diabetes management in the post-pandemic era and during future emergencies.

Evaluating the Impact of COVID-19 on Hospital Profit Compensation Activities: A Difference-in-Differences Event Study Analysis in China

The impact of the 2019 coronavirus disease (COVID-19) pandemic is still being revealed, and little is known about the effect of COVID-19-induced outpatient and inpatient losses on hospital operations in many counties. Hence, we aimed to explore whether hospitals adopted profit compensation activities after the 2020 first-wave outbreak of COVID-19 in China. A total of 2,616,589 hospitalization records from 2018, 2019, and 2020 were extracted from 36 tertiary hospitals in a western province in China; we applied a difference-in-differences event study design to estimate the dynamic effect of COVID-19 on hospitalized patients' total expenses before and after the last confirmed case. We found that average total expenses for each patient increased by 8.7% to 16.7% in the first 25 weeks after the city reopened and hospital admissions returned to normal. Our findings emphasize that the increase in total inpatient expenses was mainly covered by claiming expenses from health insurance and was largely driven by an increase in the expenses for laboratory tests and medical consumables. Our study documents that there were profit compensation activities in hospitals after the 2020 first-wave outbreak of COVID-19 in China, which was driven by the loss of hospitalization admissions during this wave outbreak.

Patient Factors Associated With Use of Adult Primary Care and Virtual Visits During the COVID-19 Pandemic

BACKGROUND

The delivery of adult primary care (APC) shifted from predominately in-person to modes of virtual care during the COVID-19 pandemic. It is unclear how these shifts impacted the likelihood of APC use during the pandemic, or how patient characteristics may be associated with the use of virtual care.

METHODS

A retrospective cohort study using person-month level datasets from 3 geographically disparate integrated health care systems was conducted for the observation period of January 1, 2020, through June 30, 2021. We estimated a 2-stage model, first adjusting for patient-level sociodemographic, clinical, and cost-sharing factors, using generalized estimating equations with a logit distribution, along with a second-stage multinomial generalized estimating equations model that included an inverse propensity score treatment weight to adjust for the likelihood of APC use. Factors associated with APC use and virtual care use were separately assessed for the 3 sites.

RESULTS

Included in the first-stage models were datasets with total person-months of 7,055,549, 11,014,430, and 4,176,934, respectively. Older age, female sex, greater comorbidity, and Black race and Hispanic ethnicity were associated with higher likelihood of any APC use in any month; measures of greater patient cost-sharing were associated with a lower likelihood. Conditional on APC use, older age, and adults identifying as Black, Asian, or Hispanic were less likely to use virtual care.

CONCLUSIONS

As the transition in health care continues to evolve, our findings suggest that to ensure vulnerable patient groups receive high quality health care, outreach interventions to reduce barriers to virtual care use may be warranted.

Accessibility and quality of medical care for patients with chronic noncommunicable diseases during COVID-19 pandemic

The purpose of this study is to conduct a comparative analysis of the impact of the accessibility and quality of medical care provided to patients with chronic noncommunicable diseases (CNCDs) during COVID-19 pandemic on the course and outcome of COVID-19 infection. The study included 132 patients hospitalized with a diagnosis of COVID-19 and having one or more concomitant CNCDs. The patients were divided into two groups based on the quality of the initial CNCD therapy they received. Group 1 involved 58 patients (42%) who received treatment according to clinical guidelines and had a compensated CNCD. Group 2 consisted of 76 patients (58%) who received treatment that was not in line with modern clinical guidelines and/or had a decompensated CNCD. All 'red zone' hospitalized patients were surveyed. In particular, they were asked questions related to the quality and accessibility of medical care during COVID-19 pandemic and their satisfaction with the medical care received during the pandemic. Reduced access to medical care (the failure to have the therapy received timely evaluated and adjusted) during COVID-19 pandemic affects the quality of the therapy received by patients with CNCDs. Generally, an unfavorable course and outcome of COVID-19 infection are typical for patients receiving a non-optimal CNCD therapy as compared to patients receiving a therapy that meets current clinical guidelines.

Mental health consequences of the COVID-19 pandemic: Results from a large-scale population-based study in Israel

INTRODUCTION

Contemporary evidence notes the COVID-19 pandemic greatly impacted the utilization of physical and mental health services worldwide. The present study was therefore designed to evaluate the changes in the utilization of mental health services during the first year of the COVID-19 pandemic compared to previous years as well as to estimate the moderating role age had on these changes.

MATERIALS AND METHODS

Psychiatric data was collected from n = 928,044 individuals living in Israel. Rates of receipt of psychiatric diagnoses and purchases of psychotropic medication were extracted for the first year of the COVID-19 pandemic and for two comparison years. The odds of receiving a diagnosis or of purchasing a psychotropic medication during the pandemic were compared to control years using uncontrolled logistic regression models and controlled and logistic regression that accounted for differences between ages.

RESULTS

There was a general reduction of about 3-17% in the odds of receiving a psychiatric diagnosis or purchasing psychotropic medications during the pandemic year compared to control years. The bulk of tests conducted showed that reduction in the rates of receiving diagnoses and purchasing medications during the pandemic were evident or more profound in the older age groups. An analysis of a combined measure conclusive of all other measures revealed decreased rates of utilizing any service examined during 2020, with rates decreasing as age increases up to a decrease of 25% in the oldest age group (80-96).

DISCUSSION AND CONCLUSION

Changes in utilization of mental health services reveal the interplay between psychological distress that has been documented to increase during the pandemic and people's reluctance to seek professional assistance. This appears to be especially prominent among the vulnerable elderly, who may have received even less professional help for their emerging distress. The results obtained in Israel are likely to be replicated in other countries as well, given the global impact of the pandemic on adults' mental health and individuals' readiness to utilize mental healthcare services. Future research on the long-term impact of the pandemic on utilization of mental healthcare services is warranted, with an emphasis on the response of different populations to emergency situations.

The impact of the COVID-19 pandemic and related policy responses on non-COVID-19 healthcare utilization in China

We investigate the impact of the COVID-19 pandemic and related policy responses on non-COVID-19 healthcare utilization (i.e., different types of outpatient care) up to October 2020 in China. Using an administrative database from a large prefecture-level city, we find that both direct exposure to the COVID-19 pandemic and the strict containment policy responses led to reductions in outpatient care utilization. The largest decline during the lockdown was observed in preventive care visits, which nevertheless recovered to pre-pandemic levels 2 months after the lockdown. The disruptions in prenatal care visits could not be offset by the recovery later on. Chronic care and emergency department visits had not returned to pre-pandemic levels as of October 2020, which may be driven by extended days' supply of prescription medication, increased use of telemedicine, and improved health-protective behaviors. In the reopening period, there were increases in visits for mental and sleep disorders, especially among children, and for medical abortion. Among health facilities at all levels, primary care facilities saw the least reductions in total outpatient visits. Our results emphasize the need for strategies to ensure access to urgent or essential care services when managing the current epidemiologic transition and future crises.

Background rates of adverse events of special interest for COVID-19 vaccine safety monitoring in the United States, 2019-2020

BACKGROUND

The U.S. Food and Drug Administration (FDA) Biologics Effectiveness and Safety (BEST) Initiative conducts active surveillance of adverse events of special interest (AESI) after COVID-19 vaccination. Historical incidence rates (IRs) of AESI are comparators to evaluate safety.

METHODS

We estimated IRs of 17 AESI in six administrative claims databases from January 1, 2019, to December 11, 2020: Medicare claims for adults ≥ 65 years and commercial claims (Blue Health Intelligence®, CVS Health, HealthCore Integrated Research Database, IBM® MarketScan® Commercial Database, Optum pre-adjudicated claims) for adults < 65 years. IRs were estimated by sex, age, race/ethnicity (Medicare), and nursing home residency (Medicare) in 2019 and for specific periods in 2020.

RESULTS

The study included >100 million enrollees annually. In 2019, rates of most AESI increased with age. However, compared with commercially insured adults, Medicare enrollees had lower IRs of anaphylaxis (11 vs 12-19 per 100,000 person-years), appendicitis (80 vs 117-155), and narcolepsy (38 vs 41-53). Rates were higher in males than females for most AESI across databases and varied by race/ethnicity and nursing home status (Medicare). Acute myocardial infarction (Medicare) and anaphylaxis (all databases) IRs varied by season. IRs of most AESI were lower during March-May 2020 compared with March-May 2019 but returned to pre-pandemic levels after May 2020. However, rates of Bell's palsy, Guillain-Barré syndrome, narcolepsy, and hemorrhagic/non-hemorrhagic stroke remained lower in multiple databases after May 2020, whereas some AESI (e.g., disseminated intravascular coagulation) exhibited higher rates after May 2020 compared with 2019.

CONCLUSION

AESI background rates varied by database and demographics and fluctuated in March-December 2020, but most returned to pre-pandemic levels after May 2020. It is critical to standardize demographics and consider seasonal and other trends when comparing historical rates with post-vaccination AESI rates in the same database to evaluate COVID-19 vaccine safety.

Telemedicine Use across Medical Specialties and Diagnoses

BACKGROUND

The COVID-19 (coronavirus disease 2019) pandemic rapidly expanded telemedicine scale and scope. As telemedicine becomes routine, understanding how specialty and diagnosis combine with demographics to impact telemedicine use will aid in addressing its current limitations.

OBJECTIVES

To analyze the relationship between medical specialty, diagnosis, and telemedicine use, and their interplay with patient demographics in determining telemedicine usage patterns.

METHODS

We extracted encounter and patient data of all adults who scheduled outpatient visits from June 1, 2020 to June 30, 2021 from the electronic health record of an integrated academic health system encompassing a broad range of subspecialties. Extracted variables included medical specialty, primary visit diagnosis, visit modality (video, audio, or in-person), and patient age, sex, self-reported race/ethnicity and 2013 rural-urban continuum code. Six specialties (General Surgery, Family Medicine, Gastroenterology, Oncology, General Internal Medicine, and Psychiatry) ranging from the lowest to the highest quartile of telemedicine use (video and audio) were chosen for analysis. Relative proportions of video, audio, and in-person modalities were compared. We examined diagnoses associated with the most and least frequent telemedicine use within each specialty. Finally, we analyzed associations between patient characteristics and telemedicine modality (video vs. audio/in-person, and video/audio vs. in-person) using a mixed-effects logistic regression model.

RESULTS

A total of 2,494,296 encounters occurred during the study period, representing 420,876 unique patients (mean age: 44 years, standard deviation: 24 years, 54% female). Medical diagnoses requiring physical examination or minor procedures were more likely to be conducted in-person. Rural patients were more likely than urban patients to use video telemedicine in General Surgery and Gastroenterology and less likely to use video for all other specialties. Within most specialties, male patients and patients of nonwhite race were overall less likely to use video modality and video/audio telemedicine. In Psychiatry, members of several demographic groups used video telemedicine more commonly than expected, while in other specialties, members of these groups tended to use less telemedicine overall.

CONCLUSION

Medical diagnoses requiring physical examination or minor procedures are more likely to be conducted in-person. Patient characteristics (age, sex, rural vs. urban, race/ethnicity) affect video and video/audio telemedicine use differently depending on medical specialty. These factors contribute to a unique clinical scenario which impacts perceived usefulness and accessibility of telemedicine to providers and patients, and are likely to impact rates of telemedicine adoption.

The Health Plan Environment In California Contributed To Differential Use Of Telehealth During The COVID-19 Pandemic

The COVID-19 pandemic has led to substantial increases in the use of telehealth and virtual care in the US. Differential patient and provider access to technology and resources has raised concerns that existing health disparities may be extenuated by shifts to virtual care. We used data from one of the largest providers of employer-sponsored insurance, the California Public Employees' Retirement System, to examine potential disparities in the use of telehealth. We found that lower-income, non-White, and non-English-speaking people were more likely to use telehealth during the period we studied. These differences were driven by enrollment in a clinically and financially integrated care delivery system, Kaiser Permanente. Kaiser's use of telehealth was higher before and during the pandemic than that of other delivery models. Access to integrated care may be more important to the adoption of health technology than patient-level differences.

Association between COVID-19 Burden, Population Vaccination Status, and Urologic Oncology Surgery Volume: A National Multicenter Cross-Sectional Study

Initial deleterious effects of the COVID-19 pandemic on urologic oncology surgeries are well described, but the possible influence of vaccination efforts and those of pandemic conditions on surgical volumes is unclear. Our aim was to examine the association between changing vaccination status and COVID-19 burden throughout the pandemic and the volume of urologic oncology surgeries in Israel. This multi-center cross-sectional study included data collected from five tertiary centers between January 2019 and December 2021. All 7327 urologic oncology surgeries were included. Epidemiological data were obtained from the Israeli Ministry of Health database. A rising trend in total urologic oncology surgery volumes was observed with ensuing COVID-19 wave peaks over time (X2 = 13.184, df = 3, p = 0.004). Total monthly surgical volumes correlated with total monthly hospitalizations due to COVID-19 (R = -0.36, p = 0.015), as well as with the monthly average Oxford Stringency Index (R = -0.31, p = 0.035). The cumulative percent of vaccinations and of new COVID-19 cases per month did not correlate with total monthly urologic surgery volumes. Our study demonstrates the gradual acclimation of the Israeli healthcare system to the COVID-19 pandemic. However, hospitalizations due to COVID-19, as well as restriction stringency, correlate with lower volumes of urologic oncological surgeries, regardless of the population's vaccination status.

Reasons and trends in youth's suicide rates during the COVID-19 pandemic

BACKGROUND

The COVID-19 pandemic posed many mental health challenges to youth through unprecedented infection control measures such as nationwide school closures. Despite this, few studies have investigated trends in suicide among youth during the pandemic, let alone their reasons.

METHODS

Population-level data on crude monthly suicide rates (2016-2021) and reasons of suicide (2018-2020) among youth aged 10-19 years were obtained from the Japanese Ministry of Health, Labour and Welfare and the National Police Agency, respectively. Using an event study design (with a Poisson regression model to calculate changes-in-changes (CiC) estimates) and interrupted time series analysis, we investigated changes in monthly suicide rates during the first 12 months of the pandemic (May 2020 to April 2021) compared to pre-pandemic levels (May 2016 to March 2020). Additionally, we investigated the changes in reasons of suicide (family-related, mental illness, social concerns, and academic concerns).

FINDINGS

In the event study analysis, suicide rates among youth increased during the pandemic relative to pre-pandemic levels, especially between August-November 2020 (e.g., ratio of the suicide rate in November 2020 relative to previous years, 1.86; 95% confidence interval (CI), 1.30 to 2.66). Though suicide levels returned closer to pre-pandemic levels by December 2020, they remained slightly elevated into 2021. In the interrupted time series analysis, suicide rates increased from May to August 2020 (0.099 cases per 100,000 youth per month; 95% CI, 0.022 to 0.176), followed by a decrease from September to December 2020 (-0.086 cases per 100,000 youth per month; 95% CI, -0.164 to -0.009). We observed elevated suicide rates for all major reasons from summer to autumn 2020, especially suicides attributed to family-related problems and social concerns. Furthermore, rates of suicides attributed to mental illness remained higher than pre-pandemic levels into December 2020.

INTERPRETATION

Suicide rates among youth remained slightly elevated compared to pre-pandemic levels into 2021. The reasons of the increase in suicide rates were multifactorial, including mental health issues and disruptions in social relationships. During a pandemic, interventions that provide mental support as well as opportunities for regular social interactions to youth may be beneficial.

FUNDING

Norwegian Agency for International Cooperation and Quality Enhancement in Higher Education.

Impact of COVID-19 on Intracranial Meningioma Resection: Results from California State Inpatient Database

Simple Summary

All fields of healthcare were adversely affected by the COVID-19 pandemic. In this study, we sought to understand the effects of COVID-19 on hospitalizations for intracranial meningioma resection using a large database. We compared hospitalization rates as well as hospital outcomes such as Clavien–Dindo grade IV complications, in-hospital mortality, and prolonged length of stay for intracranial meningioma resection during 2019 and 2020. Our findings showed that though hospitalization rates decreased slightly during the COVID-19 pandemic, hospital outcomes were not adversely affected. The findings of our study show that with adequate planning and preparations, better hospital outcomes could be sustained even during healthcare emergencies such as COVID-19 pandemic. Our findings assure that neurosurgery practice in the US ensured the best quality of care to their patients even during COVID-19 pandemic.

Abstract

Purpose: To assess the effects of COVID-19 on hospitalizations for intracranial meningioma resection using a large database. Methods: We conducted a retrospective analysis of the California State Inpatient Database (SID) 2019 and 2020. All adult (18 years or older) hospitalizations were included for the analysis. The primary outcomes were trends in hospitalization for intracranial meningioma resection between 2019 and 2020. Secondary outcomes were Clavien–Dindo grade IV complications, in-hospital mortality, and prolonged length of stay, which was defined as length of stay ≥75 percentile. Results: There were 3,173,333 and 2,866,161 hospitalizations in 2019 and 2020, respectively (relative decrease, 9.7%), of which 921 and 788 underwent intracranial meningioma resection (relative decrease, 14.4%). In 2020, there were 94,114 admissions for COVID-19 treatment. Logistic regression analysis showed that year in which intracranial meningioma resection was performed did not show significant association with Clavien–Dindo grade IV complications and in-hospital mortality (OR, 1.23, 95% CI: 0.78–1.94) and prolonged length of stay (OR, 1.05, 95% CI: 0.84–1.32). Conclusion: Our findings show that neurosurgery practice in the US successfully adapted to the unforeseen challenges posed by COVD-19 and ensured the best quality of care to the patients.

Mobile Health Technology Use and the Acceptability of an mHealth Platform for HIV Prevention Among Men Who Have Sex With Men in Malaysia: Cross-sectional Respondent-Driven Sampling Survey

BACKGROUND

The growth in mobile technology access, utilization, and services holds great promise in facilitating HIV prevention efforts through mobile health (mHealth) interventions in Malaysia. Despite these promising trends, there is a dearth of evidence on the use of mHealth platforms that addresses HIV prevention among Malaysian men who have sex with men.

OBJECTIVE

The goal of this study was to gain insight into (1) access and utilization of communication technology (eg, landline phone, internet, mobile phone), (2) acceptability of mHealth-based interventions for HIV prevention services, and (3) preferences regarding the format and frequency of mHealth interventions among Malaysian men who have sex with men.

METHODS

We conducted a cross-sectional survey with Malaysian men who have sex with men between July 2018 and March 2020. Participants were recruited using respondent-driven sampling in the Greater Kuala Lumpur region of Malaysia. We collected information on demographic characteristics, HIV risk-related behaviors, access to and the frequency of use of communication technology, and acceptability of using mHealth for HIV prevention using a self-administered questionnaire with a 5-point scale (1, never; 2, rarely; 3, sometimes; 4, often; 5, all the time).

RESULTS

A total of 376 men participated in the survey. Almost all respondents owned or had access to a smartphone with internet access (368/376, 97.9%) and accessed the internet daily (373/376, 99.2%), mainly on a smartphone (334/376, 88.8%). Participants on average used smartphones primarily for social networking (mean 4.5, SD 0.8), followed by sending or receiving emails (mean 4.0, SD 1.0), and searching for health-related information (mean 3.5, SD 0.9). There was high acceptance of the use of mHealth for HIV prevention (mean 4.1, SD 1.5), including for receiving HIV prevention information (345/376, 91.8%), receiving medication reminders (336/376, 89.4%), screening and monitoring sexual activity (306/376, 81.4%) or illicit drug use (281/376, 74.7%), and monitoring drug cravings (280/376, 74.5%). Participants overwhelmingly preferred a smartphone app over other modalities (eg, text, phone call, email) for engaging in mHealth HIV prevention tools. Preference for app notifications ranged from 186/336 (53.9%), for receiving HIV prevention information, to 212/336 (69.3%), for screening and monitoring sexual activity. Acceptance of mHealth was higher for those who were university graduates (P=.003), living in a relationship with a partner (P=.04), engaged in sexualized drug use (P=.01), and engaged in receptive anal sex (P=.006).

CONCLUSIONS

Findings from this study provide support for developing and deploying mHealth strategies for HIV prevention using a smartphone app in men who have sex with men-a key population with suboptimal engagement in HIV prevention and treatment.

Determinants of Telehealth Service Use among Mental Health Patients: A Case of Rural Louisiana

The COVID-19 pandemic decreased the in-person outpatient visits and accelerated the use of telehealth services among mental health patients. Our study investigated the sociodemographic and clinical correlates of the intensity of telehealth use among mental health patients residing in rural Louisiana, United States. The study sample included 7069 telehealth visits by 1115 unique patients encountered from 1 April 2020 to 31 March 2021 at six mental health outpatient clinics managed by the Northeast Delta Human Services Authority (NEDHSA). We performed a negative binomial regression analysis with the intensity of service use as the outcome variable. Being younger, female, and more educated were associated with a higher number of telehealth visits. The prevalence of other chronic conditions increased telehealth visits by 10%. The telehealth service intensity varied across the nature of mental health diagnoses, with patients diagnosed with the schizophrenia spectrum and other psychotic disorders utilizing 15% fewer telehealth visits than patients diagnosed with depressive disorders. The promotion of telehealth services among mental health patients in the rural setting might require the elimination of the digital divide with a particular focus on the elderly, less educated, and those with serious mental health illnesses such as schizophrenia and psychotic disorders.

The impact of COVID-19 on neurosurgical theatre activity in the National Neurosurgical Centre of Ireland

BACKGROUND

The global healthcare activity including neurosurgical services has been significantly impacted by the COVID-19 pandemic.

AIM

Compare neurosurgical theatre activity from 2019 (pre-pandemic) to that of the subsequent pandemic years (2020-2021) and explore how each wave of COVID-19 infection impacted activity levels.

METHODS

A retrospective analysis of neurosurgical theatre activity at the National Neurosurgical Centre of Ireland was performed from 1 January 2019 till 31 December 2021. The extracted data included date, surgical procedure, demographics of the patient and case scheduling (elective or emergency).

RESULTS

In total, 6139 neurosurgical procedures were recorded throughout the study period. Two thousand one hundred forty-four neurosurgical procedures were recorded in 2019, 2052 in 2020 and 1943 in 2021 corresponding to a reduction in theatre activity by 4.3% and 9.4% in 2020 and 2021 respectively. The lowest number of monthly caseloads was recorded in April 2020 during the first wave of the pandemic. The first quarter of 2021 recorded the lowest number of quarterly surgical procedures over the entire 3-year period contributing to just 19.4% of 2021 caseload. Subgroup analysis showed a significant reduction in trans-sphenoidal pituitary surgeries post-pandemic by 36% and 44% in 2020 and 2021 respectively.

CONCLUSIONS

Despite the exceptional stress imposed on our institution by COVID-19, the neurosurgical service managed to maintain comparable activity levels to 2019. The 2021 activity levels were more significantly impacted with 9.4% reduction when compared with pre-pandemic figures in 2019. Institutions need to develop a robust emergency plan to reduce the impact of any subsequent pandemics on healthcare delivery.

Nursing home quality, COVID-19 deaths, and excess mortality

The COVID-19 pandemic in the US has been particularly devastating for nursing home residents. A key question is how have some nursing homes been able to effectively protect their residents, while others have not? Using data on the universe of US nursing homes, we examine whether establishment quality is predictive of COVID-19 mortality. Higher-quality nursing homes, as measured by CMS overall five-star rating, have substantially lower COVID-19 mortality through September of 2020. Quality does not predict the ability to prevent any COVID-19 resident or staff cases, but higher-quality establishments prevent the spread of resident infections conditional on having one. Preventing COVID-19 cases and deaths may come at some cost, as high-quality homes have substantially higher non-COVID deaths. The positive correlation between establishment quality and non-COVID mortality is strong enough that high-quality homes also have more total deaths than their low-quality counterparts and this relationship has grown with time. As of late April 2021, five-star homes have experienced 8.4 percent more total deaths than one-star homes.