Environmental and structural factors driving poor quality of care: An examination of nursing homes serving Black residents.

BACKGROUND: Poor quality of care in nursing homes (NHs) with high proportions of Black residents has been a problem in the US and even more pronounced during the COVID-19 pandemic. Federal and state agencies are devoting attention to identifying the best means of improving care in the neediest facilities. It is important to understand environmental and structural characteristics that may have led to poor healthcare outcomes in NHs serving high proportions of Black residents pre-pandemic. METHODS: We conducted a cross-sectional observational study using multiple 2019 national datasets. Our exposure was the proportion of Black residents in a NH (i.e., none, <5%, 5%-19.9%, 20-49.9%, ≥50%). Healthcare outcomes examined were hospitalizations and emergency department (ED) visits, both observed and risk-adjusted. Structural factors included staffing, ownership status, bed count (0-49, 50-149, or ≥150), chain organization membership, occupancy, and percent Medicaid as a payment source. Environmental factors included region and urbanicity. Descriptive and multivariable linear regression models were estimated. RESULTS: In the 14,121 NHs, compared to NHs with no Black residents, NHs with ≥50% Black residents tended to be urban, for-profit, located in the South, have more Medicaid-funded residents, and have lower ratios of registered-nurse (RN) and aide hours per resident per day (HPRD) and greater ratios of licensed practical nurse HPRD. In general, as the proportion of Black residents in a NH increased, hospitalizations and ED visits also increased. DISCUSSION/IMPLICATIONS: As lower use of RNs has been associated with increased ED visits and hospitalizations in NHs generally, it is likely low RN use largely drove the differences in hospitalizations and ED visits in NHs with greater proportions of Black residents. Staffing is an area in which state and federal agencies should take action to improve the quality of care in NHs with larger proportions of Black residents.

Buprenorphine Treatment Episodes During the First Year of COVID: a Retrospective Examination of Treatment Initiation and Retention.

BACKGROUND: During the COVID pandemic, overall buprenorphine treatment appeared to remain relatively stable, despite some studies suggesting a decrease in patients starting buprenorphine. There is a paucity of empirical information regarding patterns of buprenorphine treatment during the pandemic. OBJECTIVE: To better understand the patterns of buprenorphine episodes during the pandemic and how those patterns compared to pre-pandemic patterns. DESIGN: Pharmacy claims representing approximately 92% of all prescriptions filled at retail pharmacies in all 50 US states and the District of Columbia. PARTICIPANTS: Individuals filling buprenorphine prescriptions indicated for treatment of opioid use disorder. MAIN MEASURES: The number of active, starting, and ending buprenorphine treatment episodes March 13 to December 1, 2020, and the expected number of such episodes in 2020 based on the growth in treatment episodes from March 13 to December 1, 2019. KEY RESULTS: The observed number of active buprenorphine episodes in December 2020 was comparable to the expected number, but new treatment episodes starting between March 13 and December 1, 2020, were 17.2% fewer than expected based on the 2019 experience. Similarly, the number of episodes that ended between March 13 and December 1, 2020, was 16.0% fewer than expected. Decreases from expected episode starts and ends occurred throughout the period but were greatest in the 2 months after the declaration of the public health emergency. CONCLUSIONS AND RELEVANCE: Beneath the apparent stability of buprenorphine patient numbers during the pandemic, the flow of individuals receiving buprenorphine treatment changed substantially. Our findings shed light on how policy changes meant to support buprenorphine prescribing influenced prescribing dynamics during that period, suggesting that while policy efforts may have been successful in maintaining existing patients in treatment, that success did not extend to individuals not yet in treatment.

Association Between the COVID-19 Pandemic and Insurance-Based Disparities in Mortality After Major Surgery Among US Adults.

Importance: The COVID-19 pandemic caused significant disruptions in surgical care. Whether these disruptions disproportionately impacted economically disadvantaged individuals is unknown. Objective: To evaluate the association between the COVID-19 pandemic and mortality after major surgery among patients with Medicaid insurance or without insurance compared with patients with commercial insurance. Design, Setting, and Participants: This cross-sectional study used data from the Vizient Clinical Database for patients who underwent major surgery at hospitals in the US between January 1, 2018, and May 31, 2020. Exposures: The hospital proportion of patients with COVID-19 during the first wave of COVID-19 cases between March 1 and May 31, 2020, stratified as low (≤5.0%), medium (5.1%-10.0%), high (10.1%-25.0%), and very high (>25.0%). Main Outcomes and Measures: The main outcome was inpatient mortality. The association between mortality after surgery and payer status as a function of the proportion of hospitalized patients with COVID-19 was evaluated with a quasi-experimental triple-difference approach using logistic regression. Results: Among 2 950 147 adults undergoing inpatient surgery (1 550 752 female [52.6%]) at 677 hospitals, the primary payer was Medicare (1 427 791 [48.4%]), followed by commercial insurance (1 000 068 [33.9%]), Medicaid (321 600 [10.9%]), other payer (140 959 [4.8%]), and no insurance (59 729 [2.0%]). Mortality rates increased more for patients undergoing surgery during the first wave of the pandemic in hospitals with a high COVID-19 burden (adjusted odds ratio [AOR], 1.13; 95% CI, 1.03-1.24; P = .01) and a very high COVID-19 burden (AOR, 1.38; 95% CI, 1.24-1.53; P < .001) compared with patients in hospitals with a low COVID-19 burden. Overall, patients with Medicaid had 29% higher odds of death (AOR, 1.29; 95% CI, 1.22-1.36; P < .001) and patients without insurance had 75% higher odds of death (AOR, 1.75; 95% CI, 1.55-1.98; P < .001) compared with patients with commercial insurance. However, mortality rates for surgical patients with Medicaid insurance (AOR, 1.03; 95% CI, 0.82-1.30; P = .79) or without insurance (AOR, 0.85; 95% CI, 0.47-1.54; P = .60) did not increase more than for patients with commercial insurance in hospitals with a high COVID-19 burden compared with hospitals with a low COVID-19 burden. These findings were similar in hospitals with very high COVID-19 burdens. Conclusions and Relevance: In this cross-sectional study, the first wave of the COVID-19 pandemic was associated with a higher risk of mortality after surgery in hospitals with more than 25.0% of patients with COVID-19. However, the pandemic was not associated with greater increases in mortality among patients with no insurance or patients with Medicaid compared with patients with commercial insurance in hospitals with a very high COVID-19 burden.

Association Between the COVID-19 Pandemic and Disparities in Access to Major Surgery in the US.

Importance: Racial minority groups account for 70% of excess deaths not related to COVID-19. Understanding the association of the Centers for Medicare & Medicaid Services' (CMS's) moratorium delaying nonessential operations with racial disparities will help shape future pandemic responses. Objective: To evaluate the association of the CMS's moratorium on elective operations during the first wave of the COVID-19 pandemic among Black individuals, Asian individuals, and individuals of other races compared with White individuals. Design, Setting, and Participants: This cross-sectional study assessed a 719-hospital retrospective cohort of 3 470 905 adult inpatient hospitalizations for major surgery between January 1, 2018, and October 31, 2020. Exposure: The first wave of COVID-19 infections between March 1, 2020, and May 31, 2020. Main Outcomes and Measures: The main outcome was the association between changes in monthly elective surgical case volumes and the first wave of COVID-19 infections as a function of patient race, evaluated using negative binomial regression analysis. Results: Among 3 470 905 adults (1 823 816 female [52.5%]) with inpatient hospitalizations for major surgery, 70 752 (2.0%) were Asian, 453 428 (13.1%) were Black, 2 696 929 (77.7%) were White, and 249 796 (7.2%) were individuals of other races. The number of monthly elective cases during the first wave was 49% (incident rate ratio [IRR], 0.49; 95% CI, 0.486-0.492; P < .001) compared with the baseline period. The relative reduction in unadjusted elective surgery cases for Black (unadjusted IRR, 0.99; 95% CI, 0.97-1.01; P = .36), Asian (unadjusted IRR, 1.08; 95% CI, 1.03-1.14; P = .001), and other race individuals (unadjusted IRR, 0.97; 95% CI, 0.95-1.00; P = .05) during the surge period compared with the baseline period was very close to the change in cases for White individuals. After adjustment for age, sex, comorbidities, and surgical procedure, there was still no evidence that the first wave of the pandemic was associated with disparities in access to elective surgery. Conclusions and Relevance: In this cross-sectional study, the CMS's moratorium on nonessential operations was associated with a 51% reduction in elective operations. It was not associated with greater reductions in operations for racial minority individuals than for White individuals. This evidence suggests that the early response to the pandemic did not increase disparities in access to surgical care.

Variation in Current Guidelines for Fluoride Varnish Application for Young Children in Medical Settings in the United States.

Background: The United States Preventive Services Task Force recommends that medical providers apply fluoride varnish (FV) to the teeth of all children under 6 years of age, but fewer than 10% of eligible children receive FV as recommended. Prior studies suggest that variation in clinical guidelines is associated with low uptake of other evidence-based health-related interventions, but consistency of national guidelines for the delivery of FV in medical settings is unknown. Methods: Eligible guidelines for application of FV in medical settings for children under 6 years of age were published in the past 10 years by national pediatric or dental professional organizations or by national public health entities. Guidelines were identified using the search terms fluoride varnish + [application; guidelines, or recommendations; children or pediatric; American Academy of Pediatrics (AAP); American Academy of Pediatric Dentistry] and a search of Guideline Central. Details of the guidelines were extracted and compared. Results: Ten guidelines met inclusion criteria. Guidelines differed in terms of periodicity recommendations and whether FV was indicated for children with a dental home or level of risk of dental caries. Conclusion: Numerous recommendations about FV delivery in medical settings are available to pediatric medical providers. Further study is warranted to determine whether the variation across current guidelines detected in this study may contribute to low FV application rates in medical settings.

Influenza vaccination of home health care staff and the impact on patient hospitalizations.

BACKGROUND: Influenza is associated with significant morbidity and mortality for adults aged 65 years and older. Influenza vaccination of health care workers is recommended. There is limited evidence regarding influenza vaccinations among health care workers in the home health care (HHC) setting and their impact on HHC patient outcomes. METHODS: A national survey of HHC agencies was conducted in 2018-2019 and linked with patient data from the Centers for Medicare and Medicaid Services. Adjusted logistic regression models were used to estimate the association between hospital transfers due to respiratory infection during a 60 day HHC episode and staff vaccination policies. RESULTS: Only 26.2% of HHC agencies had staff vaccination requirements and 71.2% agencies had staff vaccination rates higher than 75%. Agency policies for staff influenza vaccination were associated with reduced hospital transfers due to respiratory infection among HHC patients. DISCUSSION: Influenza vaccination rates among HHC staff were low during the 2017-2018 influenza season. Policymakers may consider vaccination mandates to improve health care worker vaccination rates and protect patient safety. CONCLUSIONS: This study sheds light on the potential impact of COVID-19 vaccination among HHC workers on patient outcomes. COVID-19 vaccination mandates could prove to be a vital tool in the fight against COVID-19 variants and infection outbreaks.

Use of buprenorphine for those with employer-sponsored insurance during the initial phase of the COVID-19 pandemic.

OBJECTIVE: To quantify weekly rates of use of buprenorphine for those with employer-based insurance and whether the rate differs based on county-level measures of race, historical fatal drug overdose rate, and COVID-19 case rate. METHODS: We used 2020 pharmaceutical claims for 4.8 million adults from a privately insured population to examine changes in the use of buprenorphine to treat opioid use disorder in 2020 during the onset of the COVID-19 pandemic. We quantified variation by examining changes in use rates across counties based on their fatal drug overdose rate in 2018, number of COVID-19 cases per capita, and percent nonwhite. RESULTS: Weekly use of buprenorphine was relatively stable between the first week of January (0.6 per 10,000 enrollees, 95%CI = 0.2 to 1.1) and the last week of August (0.8 per 10,000 enrollees, 95%CI = 0.4 to 1.3). We did not find evidence of any consistent change in use of buprenorphine by county-level terciles for COVID-19 rate as of August 31, 2020, age-adjusted fatal drug overdose rate, and percent nonwhite. Use was consistently higher for counties in the highest tercile of county age-adjusted fatal drug overdose rate when compared to counties in the lowest tercile of county age-adjusted fatal drug overdose rate. DISCUSSION: Our results provide early evidence that new federal- and state-level policies may have steadied the rate of using buprenorphine for those with employer-based insurance during the pandemic.

Assessment of Coronavirus Disease 2019 Infection and Mortality Rates Among Nursing Homes With Different Proportions of Black Residents.

OBJECTIVE: Coronavirus disease 2019 (COVID-19) has disproportionately impacted nursing homes (NHs) with large shares of Black residents. We examined the associations between the proportion of Black residents in NHs and COVID-19 infections and deaths, accounting for structural bias (operationalized as county-level factors) and stratifying by urbanicity/rurality. DESIGN: This was a cross-sectional observational cohort study using publicly available data from the LTCfocus, Centers for Disease Control and Prevention Long-Term Care Facility COVID-19 Module, and the NYTimes county-level COVID-19 database. Four multivariable linear regression models omitting and including facility characteristics, COVID-19 burden, and county-level fixed effects were estimated. SETTING AND PARTICIPANTS: In total, 11,587 US NHs that reported data on COVID-19 to the Centers for Disease Control and Prevention and had data in LTCfocus and NYTimes from January 20, 2020 through July 19, 2020. MEASURES: Proportion of Black residents in NHs (exposure); COVID-19 infections and deaths (main outcomes). RESULTS: The proportion of Black residents in NHs were as follows: none= 3639 (31.4%), <20% = 1020 (8.8%), 20%-49.9% = 1586 (13.7%), ≥50% = 681 (5.9%), not reported = 4661 (40.2%). NHs with any Black residents showed significantly more COVID-19 infections and deaths than NHs with no Black residents. There were 13.6 percentage points more infections and 3.5 percentage points more deaths in NHs with ≥50% Black residents than in NHs with no Black residents (P < .001). Although facility characteristics explained some of the differences found in multivariable analyses, county-level factors and rurality explained more of the differences. CONCLUSIONS AND IMPLICATIONS: It is likely that attributes of place, such as resources, services, and providers, important to equitable care and health outcomes are not readily available to counties where NHs have greater proportions of Black residents. Structural bias may underlie these inequities. It is imperative that support be provided to NHs that serve greater proportions of Black residents while considering the rurality of the NH setting.

The Unequal Burden of COVID-19 Deaths in Counties With High Proportions of Black and Hispanic Residents.

BACKGROUND: Understanding the current burden of coronavirus disease 2019 (COVID-19) deaths in vulnerable populations will help inform efforts by policymakers to address disparities in COVID-19 outcomes. OBJECTIVE: The objective of this study was to examine the association between COVID-19 deaths and the county-level proportions of non-Hispanic Black and Hispanic residents. RESEARCH DESIGN AND METHODS: A retrospective study using COVID-19 mortality data from USA Facts linked to data from the US Census Bureau, the Health Resources & Services Administration Area Health Resources file, and the US Census Bureau. Negative binomial regression was used to estimate the association between the total county COVID-19 deaths during consecutive 30-day intervals and the proportion of non-Hispanic Blacks and Hispanic residents after adjusting for resident demographics, comorbidity burden, rurality, social determinants of health, and health care resources. RESULTS: In April, counties (n=179) with >40% Blacks had 6-fold higher death rates than counties (n=1521) with <2% Blacks [incident rate ratio (IRR)=6.58, 95% confidence interval (CI): 3.29-13.2, P<0.001]. These counties had higher death rates until October, but were no different than referent counties in November. In April, death rates in counties with >40% Hispanic residents were similar to death rates in counties with <2% Hispanic residents. Death rates in these counties peaked in August (IRR=3.14, 95% CI: 1.69-5.82, P<0.001) but were also no different than referent counties in November. These effects were robust after adjusting for county-level characteristics. Before August, death rates differed little by insurance status, but since then, counties with >15% uninsurance rates had up to 2-fold higher mortality rates (IRR=1.97, 95% CI: 1.19-3.27, P<0.001) than counties with <5% uninsurance rates. CONCLUSION: Counties with high concentrations of non-Hispanic Blacks were disproportionately affected by COVID-19 throughout most of the pandemic, but other social determinants of health such as health insurance are now playing a more prominent role than race and ethnicity.

The state of infection prevention and control at home health agencies in the United States prior to COVID-19: A cross-sectional study.

BACKGROUND: Home health care is a rapidly growing healthcare sector worldwide. Home health professionals face unique challenges related to preventing and controlling infections, which are likely to amplify during an infectious disease outbreak (e.g. SARS-CoV-2). Little is known about the current state of infection prevention and control-related policies and outbreak preparedness at U.S. home health agencies. OBJECTIVES: In this study, we conducted a national survey to assess infection prevention and control-related policies, infrastructure, and procedures prior to the SARS-CoV-2 pandemic. DESIGN: Cross-sectional study. SETTING/PARTICIPANTS: Using a stratified random sample of 1506 U.S. home health agencies, we conducted a 61-item survey (paper and online) from November 9, 2018 to December 31, 2019. METHODS: Survey data were linked to publicly-available data on the quality of patient care, patient satisfaction, and other agency characteristics. Probability weights were developed to account for sample design and nonresponse; Pearson's χ2, Fisher's exact, t-tests or linear regression were used to compare the universe of agencies/respondents and urban/rural agencies. RESULTS: 35.6% of agencies responded (n = 536). Most home health personnel in charge of infection prevention and control have other responsibilities; one-third have no formal infection prevention and control training. Rural agencies are more likely to not have anyone in charge of infection prevention and control compared to those in urban areas. About 22% of agencies implement recommended guidelines when administering antibiotics. Less than a third (26.4%) report that their staff vaccination rates were higher than 95% during the last flu season. Only 48.1% of agencies accept patients requiring ventilation, and of those, 40.9% located in rural areas do not have specific infection prevention and control policies for ventilated patients, compared to 20.8% in urban areas (p < 0.001). Only 39.7% of agencies provide N95 respirators to their clinical staff; rural agencies are significantly more likely to provide those supplies than urban agencies (50.7% vs. 37.7%, p = 0.004). Lastly, agencies report their greatest challenges with infection prevention and control are collecting/reporting infection data and adherence to/monitoring of nursing bag technique. CONCLUSIONS: Prior to the SARS-CoV-2 pandemic, we found that infection prevention and control was suboptimal among U.S. home health care agencies. Consequently, most agencies have limited capacity to respond to infectious disease outbreaks. Staff and personal protective equipment shortages remain major concerns, and agencies will need to quickly adjust their existing infection prevention and control policies and potentially create new ones. In the long-term, agencies also need to improve influenza vaccination coverage among their staff. Tweetable abstract: Infection prevention and control infrastructure, policies and procedures and outbreak preparedness at U.S. home health agencies was found to be suboptimal in nationally-representative survey conducted just prior to the COVID-19 pandemic.

COVID-19 Preparedness in US Home Health Care Agencies.

OBJECTIVES: In the United States, home health agencies (HHAs) provide essential services for patients recovering from post-acute care and older adults who are aging in place. During the COVID-19 pandemic, HHAs may face additional challenges caring for these vulnerable patients. Our objective was to explore COVID-19 preparedness of US HHAs and compare results by urban/rural location. DESIGN: Cross-sectional study. SETTING/PARTICIPANTS: Using a stratified random sample of 978 HHAs, we conducted a 22-item online survey from April 10 to 17, 2020. METHODS: Summary statistics were computed; open-ended narrative responses were synthesized using qualitative methods. RESULTS: Similar to national data, most responding HHAs (n = 121, 12% response rate) were for-profit and located in the South. Most HHAs had infectious disease outbreaks included in their emergency preparedness plan (76%), a staff member in charge of outbreak/disaster preparedness (84%), and had provided their staff with COVID-19 education and training (97%). More urban HHAs had cared for confirmed and recovered COVID-19 patients than rural HHAs, but urban HHAs had less capacity to test for COVID-19 than rural HHAs (9% vs 21%). Most (69%) experienced patient census declines and had a current and/or anticipated supply shortage. Rural agencies were affected less than urban agencies. HHAs have already rationed (69%) or implemented extended use (55%) or limited reuse (61%) of personal protective equipment (PPE). Many HHAs reported accessing supplemental PPE from state/local resources, donations, and do-it-yourself efforts; more rural HHAs had accessed these additional resources compared with urban HHAs. CONCLUSIONS/IMPLICATIONS: This survey reveals challenges that HHAs are having in responding to the COVID-19 pandemic, particularly among urban agencies. Of greatest concern are the declines in patient census, which drastically affect agency revenue, and the shortages of PPE and disinfectants. Without proper protection, HHA clinicians are at risk of self-exposure and viral transmission to patients and vulnerable family members.