Faculty Bibliography

To understand the impact of COVID-19-related disruptions on PrEP services, we reviewed PrEP prescriptions at NYC Health + Hospitals/Bellevue from July 2019 through July 2021. PrEP prescriptions were examined as PrEP person-equivalents (PrEP PE) in order to account for the variable time of refill duration (i.e., 1-3 months). To assess "PrEP coverage", we calculated PrEP medication possession ratios (MPR) while patients were under study observation. Pre-clinic closure, mean PrEP PE = 244.2 (IQR 189.2, 287.5; median = 252.5) were observed. Across levels of clinic closures, mean PrEP PE = 247.3, (IQR 215.5, 265.4; median = 219.9) during 100% clinic closure, 255.4 (IQR 224, 284.3; median = 249.0) during 80% closure, and 274.6 (IQR 273.0, 281.0; median = 277.2) during 50% closure were observed. Among patients continuously prescribed PrEP pre-COVID-19, the mean MPR mean declined from 83% (IQR 72-100%; median = 100%) to 63% (IQR 35-97%; median = 66%) after the onset of COVID-19. For patients newly initiated on PrEP after the onset of COVID-19, the mean MPR was 73% (IQR 41-100%; median = 100%). Our ability to sustain PrEP provisions, as measured by both PrEP PE and MPR, can likely be attributed to our pre-COVID-19 system for PrEP delivery, which emphasizes navigation, same-day initiation, and primary care integration. In the era of COVID-19 as well as future unforeseen healthcare disruptions, PrEP programs must be robust and flexible in order to sustain PrEP delivery.

BACKGROUND:Among veterans in care reporting opioid use, we investigated the association between ceasing opioid use on subsequent reduction in report of other substance use and improvements in pain, anxiety, and depression. METHODS:Using Veterans Aging Cohort Study survey data collected between 2003 and 2012, we emulated a hypothetical randomized trial (target trial) of ceasing self-reported use of prescription opioids and/or heroin, and outcomes including unhealthy alcohol use, smoking, cannabis use, cocaine use, pain, and anxiety and depressive symptoms. Among those with baseline opioid use, we compared participants who stopped reporting opioid use at the first follow-up (approximately 1 year after baseline) with those who did not. We fit logistic regression models to estimate associations with change in each outcome at the second follow-up (approximately 2 years after baseline) among participants with that condition at baseline. We examined two sets of adjusted models that varied temporality assumptions. RESULTS:Among 2473 participants reporting opioid use, 872 did not report use, 606 reported use, and 995 were missing data on use at the first follow-up. Ceasing opioid use was associated with no longer reporting cannabis (adjusted odds ratio [AOR]=1.82, 95% confidence interval [CI] 1.10, 3.03) and cocaine use (AOR=1.93, 95% CI 1.16, 3.20), and improvements in pain (AOR=1.53, 95% CI 1.05, 2.24) and anxiety (AOR=1.56, 95% CI 1.01, 2.41) symptoms. CONCLUSION/CONCLUSIONS:Cessation of opioid misuse may be associated with subsequent cessation of other substances and reduction in pain and anxiety symptoms, which supports efforts to screen and provide evidence-based intervention where appropriate.

Public health experts often assume that any policy promoting healthful behavior change is inherently and self-evidently ethical. This assumption is incorrect. This Viewpoint describes why evaluating the ethics of a policy to promote healthful behavior change should require (1) valuing consequences for wellbeing proportionately to consequences for health, (2) valuing changes to the distributional equity of health and wellbeing together with their aggregate improvement, and (3) anticipating and surveilling for unintended consequences sufficiently important to offset benefits. I illustrate these three requirements through a hypothetical salt restriction policy, which is unethical if it evokes strong preferences that detract from wellbeing, disproportionately confers health benefits to those who are already healthy, or elicits unintended consequences that offset health benefits. I discuss why analogies of salt restriction mandates are inappropriate. In summary, public health decision-makers should employ more structured, explicit and comprehensive criteria when considering the ethical consequences of policies.

OBJECTIVE:To develop and pilot test a patient decision aid (DA) describing small kidney masses and risks and benefits of treatment for the masses. METHODS:An expert committee iteratively designed a small kidney mass DA, incorporating evidence-based risk communication and informational needs for treatment options and shared decision making. After literature review and drafting content with the feedback of urologists, radiologists, and an internist, a rapid qualitative assessment was conducted using two patient focus groups to inform user-centered design. In a pilot study, 30 patients were randomized at the initial urologic consultation to receive the DA or existing institutional patient educational material (PEM). Preconsultation questionnaires captured patient knowledge and shared decision-making preferences. After review of the DA and subsequent clinician consultation, patients completed questionnaires on discussion content and satisfaction. Proportions between arms were compared using Fisher exact tests, and decision measures were compared using Mann-Whitney tests. RESULTS:Patient informational needs included risk of tumor growth during active surveillance and ablation, significance of comorbidities, and posttreatment recovery. For the DA, 84% of patients viewed all content, and mean viewing time was 20 min. Significant improvements in knowledge about small mass risks and treatments were observed (mean total scores: 52.6% DA versus 22.3% PEM, P < .001). DA use also increased the proportion of patients discussing ablation (66.7% DA versus 18.2% PEM, P = .02). Decision satisfaction measures were similar in both arms. DISCUSSION/CONCLUSIONS:Patients receiving a small kidney mass DA are likely to gain knowledge and preparedness to discuss all treatment options over standard educational materials.

Stay-at-home restrictions such as closure of non-essential businesses were effective at reducing SARS-CoV-2 transmission in New York City (NYC) in the spring of 2020. Relaxation of these restrictions was desirable for resuming economic and social activities, but could only occur in conjunction with measures to mitigate the expected resurgence of new infections, in particular social distancing and mask-wearing. We projected the impact of individuals' adherence to social distancing and mask-wearing on the duration, frequency, and recurrence of stay-at-home restrictions in NYC. We applied a stochastic discrete time-series model to simulate community transmission and household secondary transmission in NYC. The model was calibrated to hospitalizations, ICU admissions, and COVID-attributable deaths over March-July 2020 after accounting for the distribution of age and chronic health conditions in NYC. We projected daily new infections and hospitalizations up to May 31, 2021 under the different levels of adherence to social distancing and mask-wearing after relaxation of stay-at-home restrictions. We assumed that the relaxation of stay-at-home policies would occur in the context of adaptive reopening, where a new hospitalization rate of ≥ 2 per 100,000 residents would trigger reinstatement of stay-at-home restrictions while a new hospitalization rate of ≤ 0.8 per 100,000 residents would trigger relaxation of stay-at-home restrictions. Without social distancing and mask-wearing, simulated relaxation of stay-at-home restrictions led to epidemic resurgence and necessary reinstatement of stay-at-home restrictions within 42 days. NYC would have stayed fully open for 26% of the time until May 31, 2021, alternating reinstatement and relaxation of stay-at-home restrictions in four cycles. At a low (50%) level of adherence to mask-wearing, NYC would have needed to implement stay-at-home restrictions between 8% and 32% of the time depending on individual adherence to social distancing. At moderate to high levels of adherence to mask-wearing without social distancing, NYC would have needed to implement stay-at-home restrictions. In threshold analyses, avoiding reinstatement of stay-at-home restrictions required a minimum of 60% adherence to mask-wearing at 50% adherence to social distancing. With low adherence to mask-wearing and social distancing, reinstatement of stay-at-home restrictions in NYC was inevitable. High levels of adherence to social distancing and mask-wearing could have attributed to avoiding recurrent surges without reinstatement of stay-at-home restrictions.

Socioeconomic status-related (SES-related) health disparities are worsening across resource-rich environments, despite increased knowledge about health determinants and inducements for healthful behavior change. We ask whether insights from addiction science and evolutionary biology may assist understanding and counteracting SES-related health disparities. It is known that a mismatch between evolved traits and behaviors that conserve energy drives many health deficits. We posit that this energy mismatch is one manifestation of a more expansive mismatch in levels of reward activation, between environments more versus less manipulated by human activity. This larger mismatch explains why SES-related health disparities arise not only from overeating and excessive sedentism, but also from alcohol, nicotine, other substances, and mood disorders. Lower SES persons are more likely to have lower baseline reward activation, which leads to higher prioritization of reward elevating activities, and at the same time are less likely to act on knowledge about unhealthfulness of behaviors.

We review and synthesize results from a series of analyses estimating the benefit of screening for unhealthy alcohol use, depression, and tobacco to detect individuals at heightened risk for co-occurring anxiety, pain, depression, unhealthy alcohol use, and other substance use among people with HIV and HIV-uninfected individuals in the Veterans Aging Cohort Study. We also examine the potential impact of reducing unhealthy alcohol use and depressive symptoms on the incidence of co-occurring conditions. We found that screening for alcohol and depression may help identify co-occurring symptoms of anxiety, depression, and pain interference, treating unhealthy alcohol use may improve co-occurring pain interference and substance use, and improving depressive symptoms may improve co-occurring anxiety, pain interference, and smoking. We propose that an integrated approach to screening and treatment for unhealthy alcohol use, depression, anxiety, pain, and other substance use may facilitate diagnostic assessment and treatment of these conditions, improving morbidity and mortality.

We reviewed the timeline of key policies for control of the coronavirus disease epidemic and determined their impact on the epidemic and hospital burden in South Korea. Using a discrete stochastic transmission model, we estimated that multilevel policies, including extensive testing, contact tracing, and quarantine, reduced contact rates by 90% and rapidly decreased the epidemic in Daegu and nationwide during February‒March 2020. Absence of these prompt responses could have resulted in a >10-fold increase in infections, hospitalizations, and deaths by May 15, 2020, relative to the status quo. The model suggests that reallocation of persons who have mild or asymptomatic cases to community treatment centers helped avoid overwhelming hospital capacity and enabled healthcare workers to provide care for more severely and critically ill patients in hospital beds and negative-pressure intensive care units. As small outbreaks continue to occur, contact tracing and maintenance of hospital capacity are needed.

BACKGROUND:Almost half of Veterans with localized prostate cancer receive inappropriate, wasteful staging imaging. Our team has explored the barriers and facilitators of guideline-concordant prostate cancer imaging and found that (1) patients with newly diagnosed prostate cancer have little concern for radiographic staging but rather focus on treatment and (2) physicians trust imaging guidelines but are apt to follow their own intuition, fear medico-legal consequences, and succumb to influence from imaging-avid colleagues. We used a theory-based approach to design a multi-level intervention strategy to promote guideline-concordant imaging to stage incident prostate cancer. METHODS:We designed the Prostate Cancer Imaging Stewardship (PCIS) intervention: a multi-site, stepped wedge, cluster-randomized trial to determine the effect of a physician-focused behavioral intervention on Veterans Health Administration (VHA) prostate cancer imaging use. The multi-level intervention, developed according to the Theoretical Domains Framework (TDF) and Behavior Change Wheel, combines traditional physician behavior change methods with novel methods of communication and data collection. The intervention consists of three components: (1) a system of audit and feedback to clinicians informing individual clinicians and their sites about how their behavior compares to their peers' and to published guidelines, (2) a program of academic detailing with the goal to educate providers about prostate cancer imaging, and (3) a CPRS Clinical Order Check for potentially guideline-discordant imaging orders. The intervention will be introduced to 10 participating geographically distributed study sites. DISCUSSION/CONCLUSIONS:This study is a significant contribution to implementation science, providing VHA an opportunity to ensure delivery of high-quality care at the lowest cost using a theory-based approach. The study is ongoing. Preliminary data collection and recruitment have started; analysis has yet to be performed. TRIAL REGISTRATION/BACKGROUND:CliniclTrials.gov NCT03445559. Prospectively registered on February 26, 2018.

The body of knowledge on alcohol use and communicable diseases has been growing in recent years. Using a narrative review approach, this paper discusses alcohol's role in the acquisition of and treatment outcomes from four different communicable diseases: these include three conditions included in comparative risk assessments to date-Human Immunodeficiency Virus (HIV)/AIDS, tuberculosis (TB), and lower respiratory infections/pneumonia-as well as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) because of its recent and rapid ascension as a global health concern. Alcohol-attributable TB, HIV, and pneumonia combined were responsible for approximately 360,000 deaths and 13 million disability-adjusted life years lost (DALYs) in 2016, with alcohol-attributable TB deaths and DALYs predominating. There is strong evidence that alcohol is associated with increased incidence of and poorer treatment outcomes from HIV, TB, and pneumonia, via both behavioral and biological mechanisms. Preliminary studies suggest that heavy drinkers and those with alcohol use disorders are at increased risk of COVID-19 infection and severe illness. Aside from HIV research, limited research exists that can guide interventions for addressing alcohol-attributable TB and pneumonia or COVID-19. Implementation of effective individual-level interventions and alcohol control policies as a means of reducing the burden of communicable diseases is recommended.