Adoption of Internal Medicine Milestone Ratings and Changes in Bias Against Black, Latino, and Asian Internal Medicine Residents.

BACKGROUND: The 2014 adoption of the Milestone ratings system may have affected evaluation bias against minoritized groups. OBJECTIVE: To assess bias in internal medicine (IM) residency knowledge ratings against Black or Latino residents-who are underrepresented in medicine (URiM)-and Asian residents before versus after Milestone adoption in 2014. DESIGN: Cross-sectional and interrupted time-series comparisons. SETTING: U.S. IM residencies. PARTICIPANTS: 59 835 IM residents completing residencies during 2008 to 2013 and 2015 to 2020. INTERVENTION: Adoption of the Milestone ratings system. MEASUREMENTS: Pre-Milestone (2008 to 2013) and post-Milestone (2015 to 2020) bias was estimated as differences in standardized knowledge ratings between U.S.-born and non-U.S.-born minoritized groups versus non-Latino U.S.-born White (NLW) residents, with adjustment for performance on the American Board of Internal Medicine IM certification examination and other physician characteristics. Interrupted time-series analysis measured deviations from pre-Milestone linear bias trends. RESULTS: During the pre-Milestone period, ratings biases against minoritized groups were large (-0.40 SDs [95% CI, -0.48 to -0.31 SDs; P < 0.001] for URiM residents, -0.24 SDs [CI, -0.30 to -0.18 SDs; P < 0.001] for U.S.-born Asian residents, and -0.36 SDs [CI, -0.45 to -0.27 SDs; P < 0.001] for non-U.S.-born Asian residents). These estimates decreased to less than -0.15 SDs after adoption of Milestone ratings for all groups except U.S.-born Black residents, among whom substantial (though lower) bias persisted (-0.26 SDs [CI, -0.36 to -0.17 SDs; P < 0.001]). Substantial deviations from pre-Milestone linear bias trends coincident with adoption of Milestone ratings were also observed. LIMITATIONS: Unobserved variables correlated with ratings bias and Milestone ratings adoption, changes in identification of race/ethnicity, and generalizability to Milestones 2.0. CONCLUSION: Knowledge ratings bias against URiM and Asian residents was ameliorated with the adoption of the Milestone ratings system. However, substantial ratings bias against U.S.-born Black residents persisted. PRIMARY FUNDING SOURCE: None.

Comparison of Knowledge and Information-Seeking Behavior After General COVID-19 Public Health Messages and Messages Tailored for Black and Latinx Communities : A Randomized Controlled Trial.

BACKGROUND: The paucity of public health messages that directly address communities of color might contribute to racial and ethnic disparities in knowledge and behavior related to coronavirus disease 2019 (COVID-19). OBJECTIVE: To determine whether physician-delivered prevention messages affect knowledge and information-seeking behavior of Black and Latinx individuals and whether this differs according to the race/ethnicity of the physician and tailored content. DESIGN: Randomized controlled trial. (Registration: ClinicalTrials.gov, NCT04371419; American Economic Association RCT Registry, AEARCTR-0005789). SETTING: United States, 13 May 2020 to 26 May 2020. PARTICIPANTS: 14 267 self-identified Black or Latinx adults recruited via Lucid survey platform. INTERVENTION: Participants viewed 3 video messages regarding COVID-19 that varied by physician race/ethnicity, acknowledgment of racism/inequality, and community perceptions of mask wearing. MEASUREMENTS: Knowledge gaps (number of errors on 7 facts on COVID-19 symptoms and prevention) and information-seeking behavior (number of web links demanded out of 10 proposed). RESULTS: 7174 Black (61.3%) and 4520 Latinx (38.7%) participants were included in the analysis. The intervention reduced the knowledge gap incidence from 0.085 to 0.065 (incidence rate ratio [IRR], 0.737 [95% CI, 0.600 to 0.874]) but did not significantly change information-seeking incidence. For Black participants, messages from race/ethnicity-concordant physicians increased information-seeking incidence from 0.329 (for discordant physicians) to 0.357 (IRR, 1.085 [CI, 1.026 to 1.145]). LIMITATIONS: Participants' behavior was not directly observed, outcomes were measured immediately postintervention in May 2020, and online recruitment may not be representative. CONCLUSION: Physician-delivered messages increased knowledge of COVID-19 symptoms and prevention methods for Black and Latinx respondents. The desire for additional information increased with race-concordant messages for Black but not Latinx respondents. Other tailoring of the content did not make a significant difference. PRIMARY FUNDING SOURCE: National Science Foundation; Massachusetts General Hospital; and National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases.

Beyond Causality: Additional Benefits of Randomized Controlled Trials for Improving Health Care Delivery.

Policy Points Policymakers at federal and state agencies, health systems, payers, and providers need rigorous evidence for strategies to improve health care delivery and population health. This is all the more urgent now, during the COVID-19 pandemic and its aftermath, especially among low-income communities and communities of color. Randomized controlled trials (RCTs) are known for their ability to produce credible causal impact estimates, which is why they are used to evaluate the safety and efficacy of drugs and, increasingly, to evaluate health care delivery and policy. But RCTs provide other benefits, allowing policymakers and researchers to: 1) design studies to answer the question they want to answer, 2) test theory and mechanisms to help enrich understanding beyond the results of a single study, 3) examine potentially subtle, indirect effects of a program or policy, and 4) collaborate closely to generate policy-relevant findings. Illustrating each of these points with examples of recent RCTs in health care, we demonstrate how policymakers can utilize RCTs to solve pressing challenges.

Technological Progress and Health Convergence: The Case of Penicillin in Postwar Italy.

Throughout history, technological progress has transformed population health, but the distributional effects of these gains are unclear. New substitutes for older, more expensive health technologies can produce convergence in population health outcomes but may also be prone to elite capture and thus divergence. We study the case of penicillin using detailed historical mortality statistics and exploiting its abruptly timed introduction in Italy after WWII. We find that penicillin reduced both the mean and standard deviation of infectious disease mortality, leading to substantial convergence across disparate regions of Italy. Our results do not appear to be driven by competing risks or confounded by mortality patterns associated with WWII.

The Tuskegee Study of Untreated Syphilis: A Case Study in Peripheral Trauma with Implications for Health Professionals.

Racially or ethnically targeted events may have adverse health implications for members of the group not directly targeted, a phenomenon known as peripheral trauma. Recent evidence suggests that mass incarceration, police brutality, and immigration actions all have such effects, as did medical exploitation by the US government during the Tuskegee Study of Untreated Syphilis in the Negro Male. We summarize recent findings in the economics literature on population-level effects of the Tuskegee study, including a decline in health-seeking behavior and a rise of both mortality and medical mistrust among African-American men not enrolled in the study. We highlight the relevance of our findings for present-day racial health disparities. Practitioner awareness of peripheral trauma is an important element of cultural competency. But among options to substantially improve minority trust in the healthcare system, the diversification of medical practitioners may hold greatest promise.

Poverty and Community-Acquired Antimicrobial Resistance with Extended-Spectrum ß-Lactamase-Producing Organisms, Hyderabad, India.

The decreasing effectiveness of antimicrobial agents is a global public health threat, yet risk factors for community-acquired antimicrobial resistance (CA-AMR) in low-income settings have not been clearly elucidated. Our aim was to identify risk factors for CA-AMR with extended-spectrum ß-lactamase (ESBL)-producing organisms among urban-dwelling women in India. We collected microbiological and survey data in an observational study of primigravidae women in a public hospital in Hyderabad, India. We analyzed the data using multivariate logistic and linear regression and found that 7% of 1,836 women had bacteriuria; 48% of isolates were ESBL-producing organisms. Women in the bottom 50th percentile of income distribution were more likely to have bacteriuria (adjusted odds ratio 1.44, 95% CI 0.99-2.10) and significantly more likely to have bacteriuria with ESBL-producing organisms (adjusted odds ratio 2.04, 95% CI 1.17-3.54). Nonparametric analyses demonstrated a negative relationship between the prevalence of ESBL and income.

Beyond Infrastructure: Understanding Why Patients Decline Surgery in the Developing World: An Observational Study in Cameroon.

OBJECTIVE: The aim of this study was to quantify and describe a population of patients in rural Cameroon who present with a surgically treatable illness but ultimately decline surgery, and to understand the patient decision-making process and identify key socioeconomic factors that result in barriers to care. BACKGROUND: An estimated 5 billion people lack access to safe, affordable surgical care and anesthesia when needed, and this unmet need resides disproportionally in low-income countries (LICs). An understanding of the socioeconomic factors underlying decision-making is key to future efforts to expand surgical care delivery in this population. We assessed patient decision-making in a LIC with a cash-based health care economy. METHODS: Standardized interviews were conducted of a random sample of adult patients with treatable surgical conditions over a 7-week period in a tertiary referral hospital in rural Cameroon. Main outcome measures included participant's decision to accept or decline surgery, source of funding, and the relative importance of various factors in the decision-making process. RESULTS: Thirty-four of 175 participants (19.4%) declined surgery recommended by their physician. Twenty-six of 34 participants declining surgery (76.4%) cited procedure cost, which on average equaled 6.4 months' income, as their primary decision factor. Multivariate analysis revealed female gender [odds ratio (OR) 3.35, 95% confidence interval (95% CI) 2.14-5.25], monthly earnings (OR 0.83, 95% CI, 0.77-0.89), supporting children in school (OR 1.22, 95% CI 1.13-1.31), and inability to borrow funds from family or the community (OR 6.49, 95% CI 4.10-10.28) as factors associated with declining surgery. CONCLUSION: Nearly one-fifth of patients presenting to a surgical clinic with a treatable condition did not ultimately receive needed surgery. Both financial and sociocultural factors contribute to the decision to decline care.

Antibiotic Use in Cold and Flu Season and Prescribing Quality: A Retrospective Cohort Study.

BACKGROUND: Excessive antibiotic use in cold and flu season is costly and contributes to antibiotic resistance. The study objective was to develop an index of excessive antibiotic use in cold and flu season and determine its correlation with other indicators of prescribing quality. METHODS AND FINDINGS: We included Medicare beneficiaries in the 40% random sample denominator file continuously enrolled in fee-for-service benefits for 2010 or 2011 (7,961,201 person-years) and extracted data on prescription fills for oral antibiotics that treat respiratory pathogens. We collapsed the data to the state level so they could be merged with monthly flu activity data from the Centers for Disease Control and Prevention. Linear regression, adjusted for state-specific mean antibiotic use and demographic characteristics, was used to estimate how antibiotic prescribing responded to state-specific flu activity. Flu-activity associated antibiotic use varied substantially across states-lowest in Vermont and Connecticut, highest in Mississippi and Florida. There was a robust positive correlation between flu-activity associated prescribing and use of medications that often cause adverse events in the elderly (0.755; P<0.001), whereas there was a strong negative correlation with beta-blocker use after a myocardial infarction (-0.413; P=0.003). CONCLUSIONS: Adjusted flu-activity associated antibiotic use was positively correlated with prescribing high-risk medications to the elderly and negatively correlated with beta-blocker use after myocardial infarction. These findings suggest that excessive antibiotic use reflects low-quality prescribing. They imply that practice and policy solutions should go beyond narrow, antibiotic specific, approaches to encourage evidence-based prescribing for the elderly Medicare population.

Risk factors for AIDS-defining illnesses among a population of poorly adherent people living with HIV/AIDS in Atlanta, Georgia.

In order to achieve the programmatic goals established in the National HIV/AIDS Strategy, virologic suppression remains the most important outcome within the HIV care continuum for individuals receiving antiretroviral therapy (ART). Therefore, clinicians have dedicated substantial resources to improve adherence and clinic retention for individuals on ART; however, these efforts should be focused first on those most at risk of morbidity and mortality related to AIDS. Our study aimed to characterize the factors that are associated with AIDS-defining illnesses (ADIs) amongst people living with HIV (PLHIV) who are poorly adherent or retained in care in order to identify those at highest risk of poor clinical outcomes. We recruited 99 adult PLHIV with a history of poor adherence to ART, poor clinic attendance, or unsuppressed viral load (VL) from the Infectious Disease Program (IDP) of the Grady Health System in Atlanta, Georgia between January and May 2011 to participate in a survey investigating the acceptability of a financial incentive for improving adherence. Clinical outcomes including the number of ADI episodes in the last five years, VLs, and CD4 counts were abstracted from medical records. Associations between survey items and number of ADIs were performed using chi-square analysis. In our study, 36.4% of participants had ≥1 ADI in the last five years. The most common ADIs were Pneumocystis jirovecii pneumonia, recurrent bacterial pneumonia, and esophageal candidiasis. Age <42.5 years (OR 2.52, 95% CI = 1.08-5.86), male gender (OR 3.51, 95% CI = 1.08-11.34), CD4 nadir <200 cells/µL (OR 11.92, 95% CI = 1.51-94.15), unemployment (OR 3.54, 95% CI = 1.20-10.40), and travel time to clinic <30 minutes (OR 2.80, 95% CI = 1.20-6.52) were all significantly associated with a history of ≥1 ADI in the last five years. Awareness of factors associated with ADIs may help clinicians identify which poorly adherent PLHIV are at highest risk of HIV-related morbidity.

Experimental Evidence on the Effectiveness of Nonexperts for Improving Vaccine Demand.

We experimentally vary signals and senders to identify which combination will increase vaccine demand among a disadvantaged population in the United States-Black and White men without a college education. Our main finding is that laypeople (nonexpert concordant senders) are most effective at promoting vaccination, particularly among those least willing to become vaccinated. This finding points to a trade-off between the higher qualifications of experts on the one hand and the lower social proximity to low-socioeconomic-status populations on the other hand, which may undermine credibility in settings of low trust.

Effect of an Intensive Food-as-Medicine Program on Health and Health Care Use: A Randomized Clinical Trial.

Importance: Food-as-medicine programs are becoming increasingly common, and rigorous evidence is needed regarding their effects on health. Objective: To test whether an intensive food-as-medicine program for patients with diabetes and food insecurity improves glycemic control and affects health care use. Design, Setting, and Participants: This stratified randomized clinical trial using a wait list design was conducted from April 19, 2019, to September 16, 2022, with patients followed up for 1 year. Patients were randomly assigned to either participate in the program immediately (treatment group) or 6 months later (control group). The trial took place at 2 sites, 1 rural and 1 urban, of a large, integrated health system in the mid-Atlantic region of the US. Eligibility required a diagnosis of type 2 diabetes, a hemoglobin A1c (HbA1c) level of 8% or higher, food insecurity, and residence within the service area of the participating clinics. Intervention: The comprehensive program provided healthy groceries for 10 meals per week for an entire household, plus dietitian consultations, nurse evaluations, health coaching, and diabetes education. The program duration was typically 1 year. Main Outcomes and Measures: The primary outcome was HbA1c level at 6 months. Secondary outcomes included other biometric measures, health care use, and self-reported diet and healthy behaviors, at both 6 months and 12 months. Results: Of 3712 patients assessed for eligibility, 3168 were contacted, 1064 were deemed eligible, 500 consented to participate and were randomized, and 465 (mean [SD] age, 54.6 [11.8] years; 255 [54.8%] female) completed the study. Of those patients, 349 (mean [SD] age, 55.4 [11.2] years; 187 [53.6%] female) had laboratory test results at 6 months after enrollment. Both the treatment (n = 170) and control (n = 179) groups experienced a substantial decline in HbA1c levels at 6 months, resulting in a nonsignificant, between-group adjusted mean difference in HbA1c levels of -0.10 (95% CI, -0.46 to 0.25; P = .57). Access to the program increased preventive health care, including more mean (SD) dietitian visits (2.7 [1.8] vs 0.6 [1.3] visits in the treatment and control groups, respectively), patients with active prescription drug orders for metformin (134 [58.26] vs 119 [50.64]) and glucagon-like peptide 1 medications (114 [49.56] vs 83 [35.32]), and participants reporting an improved diet from 1 year earlier (153 of 164 [93.3%] vs 132 of 171 [77.2%]). Conclusions and Relevance: In this randomized clinical trial, an intensive food-as-medicine program increased engagement with preventive health care but did not improve glycemic control compared with usual care among adult participants. Programs targeted to individuals with elevated biomarkers require a control group to demonstrate effectiveness to account for improvements that occur without the intervention. Additional research is needed to design food-as-medicine programs that improve health. Trial Registration: ClinicalTrials.gov Identifier: NCT03718832.

REPRESENTATION AND EXTRAPOLATION: EVIDENCE FROM CLINICAL TRIALS.

This article examines the consequences and causes of low enrollment of Black patients in clinical trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is more relevant for decision-making by physicians and patients when it is more representative of the group being treated. This generates the key result that the perceived benefit of a medicine for a group depends not only on the average benefit from a trial but also on the share of patients from that group who were enrolled in the trial. In survey experiments, we find that physicians who care for Black patients are more willing to prescribe drugs tested in representative samples, an effect substantial enough to close observed gaps in the prescribing rates of new medicines. Black patients update more on drug efficacy when the sample that the drug is tested on is more representative, reducing Black-white patient gaps in beliefs about whether the drug will work as described. Despite these benefits of representative data, our framework and evidence suggest that those who have benefited more from past medical breakthroughs are less costly to enroll in the present, leading to persistence in who is represented in the evidence base.

Trends in Mortality Rates Among Medicare Enrollees With Alzheimer Disease and Related Dementias Before and During the Early Phase of the COVID-19 Pandemic.

IMPORTANCE: The COVID-19 pandemic fundamentally altered the delivery of health care in the United States. The associations between these COVID-19-related changes and outcomes in vulnerable patients, such as among persons with Alzheimer disease and related dementias (ADRD), are not yet well understood. OBJECTIVE: To determine the association between regional rates of COVID-19 infection and excess mortality among individuals with ADRD. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cross-sectional study used data from beneficiaries of 100% fee-for-service Medicare Parts A and B between January 1, 2019, and December 31, 2020, to assess age- and sex-adjusted mortality rates. Participants were 53 640 888 Medicare enrollees 65 years of age or older categorized into 4 prespecified cohorts: enrollees with or without ADRD and enrollees with or without ADRD residing in nursing homes. EXPOSURES: Monthly COVID-19 infection rates by hospital referral region between January and December 2020. MAIN OUTCOMES AND MEASURES: Mortality rates from March through December 2020 were compared with those from March through December 2019. Excess mortality was calculated by comparing mortality rates in 2020 with rates in 2019 for specific, predetermined groups. Means were compared using t tests, and 95% CIs were estimated using the delta method. RESULTS: This cross-sectional study included 26 952 752 Medicare enrollees in 2019 and 26 688 136 enrollees in 2020. In 2019, the mean (SD) age of community-dwelling beneficiaries without ADRD was 74.1 (8.8) years and with ADRD was 82.6 (8.4) years. The mean (SD) age of nursing home residents with ADRD (83.6 [8.4] years) was similar to that for patients without ADRD (79.7 [8.8] years). Among patients diagnosed as having ADRD in 2019, 63.5% were women, 2.7% were Asian, 9.2% were Black, 5.7% were Hispanic, 80.7% were White, and 1.7% were identified as other (included all races or ethnicities other than those given); the composition did not change appreciably in 2020. Compared with 2019, adjusted mortality in 2020 was 12.4% (95% CI, 12.1%-12.6%) higher among enrollees without ADRD and 25.7% (95% CI, 25.3%-26.2%) higher among all enrollees with ADRD, with even higher percentages for Asian (36.0%; 95% CI, 32.6%-39.3%), Black (36.7%; 95% CI, 35.2%-38.2%), and Hispanic (40.1%; 95% CI, 37.9%-42.3%) populations with ADRD. The hospital referral region in the lowest quintile for COVID-19 infections in 2020 had no excess mortality among enrollees without ADRD but 8.8% (95% CI, 7.5%-10.2%) higher mortality among community-dwelling enrollees with ADRD and 14.2% (95% CI, 12.2%-16.2%) higher mortality among enrollees with ADRD living in nursing homes. CONCLUSIONS AND RELEVANCE: The results of this cross-sectional study suggest that the COVID-19 pandemic may be associated with excess mortality among older adults with ADRD, especially for Asian, Black, and Hispanic populations and people living in nursing homes, even in areas with low COVID-19 prevalence.

Effect of Physician-Delivered COVID-19 Public Health Messages and Messages Acknowledging Racial Inequity on Black and White Adults' Knowledge, Beliefs, and Practices Related to COVID-19: A Randomized Clinical Trial.

Importance: Social distancing is critical to the control of COVID-19, which has disproportionately affected the Black community. Physician-delivered messages may increase adherence to these behaviors. Objectives: To determine whether messages delivered by physicians improve COVID-19 knowledge and preventive behaviors and to assess the differential effectiveness of messages tailored to the Black community. Design, Setting, and Participants: This randomized clinical trial of self-identified White and Black adults with less than a college education was conducted from August 7 to September 6, 2020. Of 44 743 volunteers screened, 30 174 were eligible, 5534 did not consent or failed attention checks, and 4163 left the survey before randomization. The final sample had 20 460 individuals (participation rate, 68%). Participants were randomly assigned to receive video messages on COVID-19 or other health topics. Interventions: Participants saw video messages delivered either by a Black or a White study physician. In the control groups, participants saw 3 placebo videos with generic health topics. In the treatment group, they saw 3 videos on COVID-19, recorded by several physicians of varied age, gender, and race. Video 1 discussed common symptoms. Video 2 highlighted case numbers; in one group, the unequal burden of the disease by race was discussed. Video 3 described US Centers for Disease Control and Prevention social distancing guidelines. Participants in both the control and intervention groups were also randomly assigned to see 1 of 2 American Medical Association statements, one on structural racism and the other on drug price transparency. Main Outcomes and Measures: Knowledge, beliefs, and practices related to COVID-19, demand for information, willingness to pay for masks, and self-reported behavior. Results: Overall, 18 223 participants (9168 Black; 9055 White) completed the survey (9980 [55.9%] women, mean [SD] age, 40.2 [17.8] years). Overall, 6303 Black participants (34.6%) and 7842 White participants (43.0%) were assigned to the intervention group, and 1576 Black participants (8.6%) and 1968 White participants (10.8%) were assigned to the control group. Compared with the control group, the intervention group had smaller gaps in COVID-19 knowledge (incidence rate ratio [IRR], 0.89 [95% CI, 0.87-0.91]) and greater demand for COVID-19 information (IRR, 1.05 [95% CI, 1.01-1.11]), willingness to pay for a mask (difference, $0.50 [95% CI, $0.15-$0.85]). Self-reported safety behavior improved, although the difference was not statistically significant (IRR, 0.96 [95% CI, 0.92-1.01]; P = .08). Effects did not differ by race (F = 0.0112; P > .99) or in different intervention groups (F = 0.324; P > .99). Conclusions and Relevance: In this study, a physician messaging campaign was effective in increasing COVID-19 knowledge, information-seeking, and self-reported protective behaviors among diverse groups. Studies implemented at scale are needed to confirm clinical importance. Trial Registration: ClinicalTrials.gov Identifier: NCT04502056.

Effects of a large-scale social media advertising campaign on holiday travel and COVID-19 infections: a cluster randomized controlled trial.

During the Coronavirus Disease 2019 (COVID-19) epidemic, many health professionals used social media to promote preventative health behaviors. We conducted a randomized controlled trial of the effect of a Facebook advertising campaign consisting of short videos recorded by doctors and nurses to encourage users to stay at home for the Thanksgiving and Christmas holidays ( NCT04644328 and AEARCTR-0006821 ). We randomly assigned counties to high intensity (n = 410 (386) at Thanksgiving (Christmas)) or low intensity (n = 410 (381)). The intervention was delivered to a large fraction of Facebook subscribers in 75% and 25% of randomly assigned zip codes in high- and low-intensity counties, respectively. In total, 6,998 (6,716) zip codes were included, and 11,954,109 (23,302,290) users were reached at Thanksgiving (Christmas). The first two primary outcomes were holiday travel and fraction leaving home, both measured using mobile phone location data of Facebook users. Average distance traveled in high-intensity counties decreased by -0.993 percentage points (95% confidence interval (CI): -1.616, -0.371; P = 0.002) for the 3 days before each holiday compared to low-intensity counties. The fraction of people who left home on the holiday was not significantly affected (adjusted difference: 0.030; 95% CI: -0.361, 0.420; P = 0.881). The third primary outcome was COVID-19 infections recorded at the zip code level in the 2-week period starting 5 days after the holiday. Infections declined by 3.5% (adjusted 95% CI: -6.2%, -0.7%; P = 0.013) in intervention compared to control zip codes. Social media messages recorded by health professionals before the winter holidays in the United States led to a significant reduction in holiday travel and subsequent COVID-19 infections.

Acinetobacter baumannii: An Emerging and Important Pathogen.

OBJECTIVE: To review the clinical significance, management, and control of Acinetobacter infections. METHODS: Literature review. RESULTS: Acinetobacter infections have become a major cause of hospital-acquired infections worldwide. Acinetobacter is noted for its ability to survive for long periods on hospital surfaces and equipment, its predilection to develop resistance to multiple antibiotics, its affinity to cause serious infections in critically ill patients, and many well described outbreaks attributable to contamination of a common source. The crude ICU mortality is approximately 40%. Rigorous antibiotic stewardship and infection control measures are critical to prevent the spread of multidrug-resistant Acinetobacter infections. There is also a pressing need for new therapeutic options. CONCLUSION: Acinetobacter is an emerging pathogen of increasing significance.

Disparities in Coronavirus 2019 Reported Incidence, Knowledge, and Behavior Among US Adults.

Importance: Data from the coronavirus disease 2019 (COVID-19) pandemic in the US show large differences in hospitalizations and mortality across race and geography. However, there are limited data on health information, beliefs, and behaviors that might indicate different exposure to risk. Objective: To determine the association of sociodemographic characteristics with reported incidence, knowledge, and behavior regarding COVID-19 among US adults. Design, Setting, and Participants: A US national survey study was conducted from March 29 to April 13, 2020, to measure differences in knowledge, beliefs, and behavior about COVID-19. The survey oversampled COVID-19 hotspot areas. The survey was conducted electronically. The criteria for inclusion were age 18 years or older and residence in the US. Data analysis was performed in April 2020. Main Outcomes and Measures: The main outcomes were incidence, knowledge, and behaviors related to COVID-19 as measured by survey response. Results: The survey included 5198 individuals (mean [SD] age, 48 [18] years; 2336 men [45%]; 3759 white [72%], 830 [16%] African American, and 609 [12%] Hispanic). The largest differences in COVID-19-related knowledge and behaviors were associated with race/ethnicity, sex, and age, with African American participants, men, and people younger than 55 years showing less knowledge than other groups. African American respondents were 3.5 percentage points (95% CI, 1.5 to 5.5 percentage points; P = .001) more likely than white respondents to report being infected with COVID-19, as were men compared with women (3.2 percentage points; 95% CI, 2.0 to 4.4 percentage points; P < .001). Knowing someone who tested positive for COVID-19 was more common among African American respondents (7.2 percentage points; 95% CI, 3.4 to 10.9 percentage points; P < .001), people younger than 30 years (11.6 percentage points; 95% CI, 7.5 to 15.7 percentage points; P < .001), and people with higher incomes (coefficient on earning ≥$100 000, 12.3 percentage points; 95% CI, 8.7 to 15.8 percentage points; P < .001). Knowledge of potential fomite spread was lower among African American respondents (-9.4 percentage points; 95% CI, -13.1 to -5.7 percentage points; P < .001), Hispanic respondents (-4.8 percentage points; 95% CI, -8.9 to -0.77 percentage points; P = .02), and people younger than 30 years (-10.3 percentage points; 95% CI, -14.1 to -6.5 percentage points; P < .001). Similar gaps were found with respect to knowledge of COVID-19 symptoms and preventive behaviors. Conclusions and Relevance: In this survey study of US adults, there were gaps in reported incidence of COVID-19 and knowledge regarding its spread and symptoms and social distancing behavior. More effort is needed to increase accurate information and encourage appropriate behaviors among minority communities, men, and younger people.

Sociodemographic Correlates of Medical Mistrust among African American Men Living in the East Bay.

This study examined correlates of medical mistrust among African American men living in the East Bay. We conducted a cross-sectional analysis using survey data from 207 adult African American males, recruited from barbershops. We used linear regression to assess associations between socioeconomic status (SES) and two medical mistrust outcomes (mistrust of health care organizations (HCOs) and physicians). There was a strong relationship between health insurance, income, education, and mistrust. Insured subjects were 8.5% (95% CI -0.154 to -0.016) less likely to mistrust HCOs and 8.5% less likely (95% CI -0.145 to -0.025) to mistrust physicians. Those in the highest levels of income (>$60,000 annual income) or education (bachelor's degree or higher) were 5.4% (95% CI -0.115 to -0.007) and 5.7% (95% CI -0.104 to -0.011) less likely to mistrust HCO and physicians, respectively, than others. We conclude that sociodemographic factors are correlated with medical mistrust and discuss options for reducing medical mistrust.