Addressing Unmet PrEP Needs in Women: Impact of a Laboratory-Driven Protocol at an Urban, Essential Hospital.

Background: HIV pre-exposure prophylaxis (PrEP) uptake in women remains low. We developed a laboratory result-driven protocol to link women with a positive bacterial sexually transmitted infection (STI) to HIV PrEP at an urban safety-net hospital. Methods: Electronic health records of women with positive chlamydia, gonorrhea, and/or syphilis tests were reviewed, and those eligible for PrEP were referred for direct or primary care provider-driven outreach. We assessed the proportion of women with STIs who received PrEP offers, acceptance, and prescriptions before (July 1, 2018-December 31, 2018) and after (January 1, 2019-June 30, 2020) implementation to evaluate changes in the delivery of key elements of the PrEP care cascade (ie, PrEP offers, acceptance, and prescribing) for women with STIs after protocol implementation. Results: The proportion of women who received PrEP offers increased from 7.6% to 17.6% (P < .001). After multivariable adjustment, only the postintervention period was associated with PrEP offers (odds ratio [OR], 2.49; 95% CI, 1.68-3.68). In subgroup analyses, PrEP offers increased significantly among non-Hispanic Black (OR, 2.75; 95% CI, 1.65-4.58) and Hispanic (OR, 5.34; 95% CI, 1.77-16.11) women but not among non-Hispanic White women (OR, 1.49; 95% CI, 0.54-4.05). Significant changes in PrEP acceptance and prescriptions were not observed in the sample overall. Conclusions: A laboratory result-driven protocol was associated with a significant increase in PrEP offers to Black and Hispanic women with STI. These results provide concrete suggestions for health systems seeking to increase PrEP access and equity among women.

Racial differences in testing for infectious diseases: An analysis of jail intake data.

HIV and hepatitis C virus (HCV) testing for all people in jail is recommended by the CDC. In the community, there are barriers to HIV and HCV testing for minoritized people. We examined the relationship between race and infectious diseases (HIV, HCV, syphilis) testing in one Massachusetts jail, Middlesex House of Corrections (MHOC). This is a retrospective analysis of people incarcerated at MHOC who opted-in to infectious diseases testing between 2016-2020. Variables of interest were race/ethnicity, self-identified history of psychiatric illness, and ever having experienced restrictive housing. Twenty-three percent (1,688/8,467) of people who were incarcerated requested testing at intake. Of those, only 38% received testing. Black non-Hispanic (25%) and Hispanic people (30%) were more likely to request testing than white people (19%). Hispanic people (16%, AOR 1.69(1.24-2.29) were more likely to receive a test result compared to their white non-Hispanic (8%, AOR 1.54(1.10-2.15)) counterparts. Black non-Hispanic and Hispanic people were more likely to opt-in to and complete infectious disease testing than white people. These findings could be related to racial disparities in access to care in the community. Additionally, just over one-third of people who requested testing received it, underscoring that there is room for improvement in ensuring testing is completed. We hope our collaborative efforts with jail professionals can encourage other cross-disciplinary investigations.

A study protocol for Project I-Test: a cluster randomized controlled trial of a practice coaching intervention to increase HIV testing in substance use treatment programs.

BACKGROUND: People with substance use disorders are vulnerable to acquiring HIV. Testing is fundamental to diagnosis, treatment, and prevention; however, in the past decade, there has been a decline in the number of substance use disorder (SUD) treatment programs offering on-site HIV testing. Fewer than half of SUDs in the USA offer on-site HIV testing. In addition, nearly a quarter of newly diagnosed cases have AIDS at the time of diagnosis. Lack of testing is one of the main reasons that annual HIV incidences have remained constant over time. Integration of HIV testing with testing for HCV, an infection prevalent among persons vulnerable to HIV infection, and in settings where they receive health services, including opioid treatment programs (OTPs), is of great public health importance. METHODS/DESIGN: In this 3-arm cluster-RCT of opioid use disorders treatment programs, we test the effect of two evidence-based "practice coaching" (PC) interventions on the provision and sustained implementation of on-site HIV testing, on-site HIV/HCV testing, and linkage to care. Using the National Survey of Substance Abuse Treatment Services data available from SAMHSA, 51 sites are randomly assigned to one of the three conditions: practice coach facilitated structured conversations around implementing change, with provision of resources and documents to support the implementation of (1) HIV testing only, or (2) HIV/HCV testing, and (3) a control condition that provides a package with information only. We collect quantitative (e.g., HIV and HCV testing at 6-month-long intervals) and qualitative site data near the time of randomization, and again approximately 7-12 months after randomization. DISCUSSION: Innovative and comprehensive approaches that facilitate and promote the adoption and sustainability of HIV and HCV testing in opioid treatment programs are important for addressing and reducing HIV and HCV infection rates. This study is one of the first to test organizational approaches (practice coaching) to increase HIV and HIV/HCV testing and linkage to care among individuals receiving treatment for opioid use disorder. The study may provide valuable insight and knowledge on the multiple levels of intervention that, if integrated, may better position OTPs to improve and sustain testing practices and improve population health. TRIAL REGISTRATION: ClinicalTrials.gov NCT03135886. Registered on 2 May 2017.

Economic Evaluation of Extended-Release Buprenorphine for Persons With Opioid Use Disorder.

Importance: In 2017, the US Food and Drug Administration (FDA) approved a monthly injectable form of buprenorphine, extended-release buprenorphine; published data show that extended-release buprenorphine is effective compared with no treatment, but its current cost is higher and current retention is lower than that of transmucosal buprenorphine. Preliminary research suggests that extended-release buprenorphine may be an important addition to treatment options, but the cost-effectiveness of extended-release buprenorphine compared with transmucosal buprenorphine remains unclear. Objective: To evaluate the cost-effectiveness of extended-release buprenorphine compared with transmucosal buprenorphine. Design, Setting, and Participants: This economic evaluation used a state transition model starting in 2019 to simulate the lifetime of a closed cohort of individuals with OUD presenting for evaluation for opioid agonist treatment with buprenorphine. The data sources used to estimate model parameters included cohort studies, clinical trials, and administrative data. The model relied on pharmaceutical costs from the Federal Supply Schedule and health care utilization costs from published studies. Data were analyzed from September 2021 to January 2023. Interventions: No treatment, treatment with transmucosal buprenorphine, or treatment with extended-release buprenorphine. Main Outcomes and Measures: Mean lifetime costs per person, discounted quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs). Results: The simulated cohort included 100 000 patients with OUD receiving (61% male; mean [SD] age, 38 [11] years) or not receiving medication treatment (58% male, mean [SD] age, 48 [18] years). Compared with no medication treatment, treatment with transmucosal buprenorphine yielded an ICER of $19 740 per QALY. Compared with treatment with transmucosal buprenorphine, treatment with extended-release buprenorphine yielded lower effectiveness by 0.03 QALYs per person at higher cost, suggesting that treatment with extended-release buprenorphine was dominated and not preferred. In probabilistic sensitivity analyses, treatment with transmucosal buprenorphine was the preferred strategy 60% of the time. Treatment with extended-release buprenorphine was cost-effective compared with treatment with transmucosal buprenorphine at a $100 000 per QALY willingness-to-pay threshold only after substantial changes in key parameters. Conclusions and Relevance: In this economic evaluation of extended-release buprenorphine compared with transmucosal buprenorphine for the treatment of OUD, extended-release buprenorphine was not associated with efficient allocation of limited resources when transmucosal buprenorphine was available. Future initiatives should aim to improve retention rates or decrease costs associated with extended-release buprenorphine.

A study protocol for Project I-Test: a cluster randomized controlled trial of a practice coaching intervention to increase HIV testing in substance use treatment programs.

Background People with substance use disorders are vulnerable to acquiring HIV. Testing is fundamental to diagnosis, treatment, and prevention; however, in the past decade, there has been a decline in the number of substance use disorder (SUD) treatment programs offering on-site HIV testing. Fewer than half of SUDs in the United States offer on-site HIV testing. In addition, nearly a quarter of newly diagnosed cases have AIDS at the time of diagnosis. Lack of testing is one of the main reasons that annual HIV incidences have remained constant over time. Integration of HIV testing with testing for HCV, an infection prevalent among persons vulnerable to HIV infection, and in settings where they receive health services, including opioid treatment programs (OTPs), is of great public health importance. Methods/Design In this 3-arm cluster-RCT of opioid use disorders treatment programs, we test the effect of two evidence-based "practice coaching" (PC) interventions on: the provision and sustained implementation of on-site HIV testing, on-site HIV/HCV testing, and linkage to care. Using the National Survey of Substance Abuse Treatment Services data available from SAMHSA, 51 sites are randomly assigned to one of the three conditions: practice coach facilitated structured conversations around implementing change, with provision of resources and documents to support the implementation of (1) HIV testing only, or (2) HIV/HCV testing, and (3) a control condition that provides a package with information only. We collect quantitative (e,g., HIV and HCV testing at six-month-long intervals) and qualitative site data near the time of randomization, and again approximately 7-12 months after randomization. Discussion Innovative and comprehensive approaches that facilitate and promote the adoption and sustainability of HIV and HCV testing in opioid treatment programs are important for addressing and reducing HIV and HCV infection rates. This study is one of the first to test organizational approaches (practice coaching) to increase HIV and HIV/HCV testing and linkage to care among individuals receiving treatment for opioid use disorder. The study may provide valuable insight and knowledge on the multiple levels of intervention that, if integrated, may better position OTPs to improve and sustain testing practices and improve population health. Trial registration ClinicalTrials.gov: NCT03135886. (02 05 2017).

Research Compensation and Enhanced Contacts in Studies With Persons Who Use Drugs: Lessons From the COVID-19 Pandemic Demand a Reset.

Policy changes resulting from the coronavirus 2019 (COVID-19) pandemic have had a substantial and positive impact on the clinical care of persons with opioid use disorder. These innovative paradigm shifts created a ripe environment for re-evaluating traditional approaches to recruiting and retaining persons who use drugs into research studies. For example, changes to methadone prescribing requirements and authorization of buprenorphine prescriptions via telehealth have both increased access to medications. In this commentary, we contribute to ongoing conversations about the ethics of compensation for participants in addiction-related clinical research and share methods of payment that proved successful in research performed during the pandemic. We also discuss approaches to enrollment and follow-up that were implemented during the height of COVID restrictions. These approaches may mutually benefit both participants and researchers in a post-pandemic era.

Peer recovery coaching for comprehensive HIV, hepatitis C, and opioid use disorder management: The CHORUS pilot study.

Introduction: Amidst a surge in HIV and hepatitis C virus (HCV) infections in persons who use drugs, medications that effectively prevent HIV and treat opioid use disorder and HCV remain underutilized. Methods: We developed a 6-month peer recovery coaching intervention (brief motivational interviewing followed by weekly virtual or in-person coaching) and collected data on uptake of medications for opioid use disorder (MOUD), HIV pre-exposure prophylaxis (PrEP), and HCV treatment. The primary outcomes were intervention acceptability and feasibility. Results: At a Boston substance use disorder bridge clinic, we enrolled 31 HIV-negative patients who used opioids. Participants reported high intervention satisfaction at 6 months (95% "satisfied" or "very satisfied"). At study completion, 48% of the participants were on MOUD, 43% who met CDC guidelines were on PrEP, and 22% with HCV were engaged with treatment. Conclusions: A peer recovery coaching intervention is feasible and acceptable, with positive preliminary findings regarding MOUD, PrEP and HCV treatment uptake.

At the intersection of trust and mistrust: A qualitative analysis of motivators and barriers to research participation at a safety-net hospital.

INTRODUCTION: The underrepresentation of Black, Indigenous, and People of Color (BIPOC) individuals in healthcare research limits generalizability and contributes to healthcare inequities. Existing barriers and attitudes toward research participation must be addressed to increase the representation of safety net and other underserved populations. METHODS: We conducted semi-structured qualitative interviews with patients at an urban safety net hospital, focusing on facilitators, barriers, motivators, and preferences for research participation. We conducted direct content analysis guided by an implementation framework and used rapid analysis methods to generate final themes. RESULTS: We completed 38 interviews and identified six major themes related to preferences for engagement in research participation: (1) wide variation in research recruitment preferences; (2) logistical complexity negatively impacts willingness to participate; (3) risk contributes to hesitation toward research participation; (4) personal/community benefit, interest in study topic, and compensation serve as motivators for research participation; (5) continued participation despite reported shortcomings of informed consent process; and (6) mistrust could be overcome by relationship or credibility of information sources. CONCLUSION: Despite barriers to participation in research studies among safety-net populations, there are also facilitators that can be implemented to increase knowledge and comprehension, ease of participation, and willingness to join research studies. Study teams should vary recruitment and participation methods to ensure equal access to research opportunities. PATIENT/PUBLIC CONTRIBUTION: Our analysis methods and study progress were presented to individuals within the Boston Medical Center healthcare system. Through this process community engagement specialists, clinical experts, research directors, and others with significant experience working with safety-net populations supported data interpretation and provided recommendations for action following the dissemination of data.

Comparing COVID-19-related Morbidity and Mortality Between Patients With and Without Substance Use Disorders: A Retrospective Cohort Study.

Objectives: People with substance use disorders (SUD) are suggested to have higher risk of hospitalization, intubation, or death from coronavirus disease 2019 (COVID-19), although data are mixed. Little is known about other COVID-19-related complications in this group. We compared morbidity and mortality among individuals with and without SUD who were admitted to an urban safety net hospital with COVID-19 early in the pandemic, contemporaneous to other published studies on this subject. Methods: We performed a retrospective study of patients ⩾18 years old admitted with COVID-19 from March 16th to April 8th, 2020. SUD included alcohol, opioid, cocaine, amphetamine, and benzodiazepine use disorders and was identified using diagnostic codes, free text clinical documentation, and urine drug screens. The primary outcome was inpatient mortality. Secondary outcomes included clinical complications (eg, secondary infections, venous thromboembolism) and resource utilization (eg, mechanical ventilation, length of stay). We used multivariable regression to assess the relationship between SUD and mortality. Results: Of 409 patients, the mean age was 56 years and 13.7% had SUD. Those with SUD were more likely to be male, have experienced homelessness, have pulmonary disease or hepatitis C, or use tobacco or cannabis. After multivariable analysis, SUD was not associated with mortality (aOR 1.03; 95% CI, 0.31-3.10). Secondary outcomes were also similar between groups. Conclusions: Our findings suggest that persons with and without SUD have similar COVID-19-related outcomes. Previously reported increased COVID-19 complications may be from medical comorbidities.

Development and Validation of the HIV-CARDIO-PREDICT Score to Estimate the Risk of Cardiovascular Events in HIV-Infected Patients.

IMPORTANCE: Commonly used risk assessment tools for cardiovascular disease might not be accurate for HIV-infected patients. OBJECTIVE: We aimed to develop a model to accurately predict the 10-year cardiovascular disease (CV) risk of HIV-infected patients. DESIGN: In this retrospective cohort study, adult HIV-infected patients seen at Boston Medical Center between March 2012 and January 2017 were divided into model development and validation cohorts. SETTING: Boston Medical Center, a tertiary, academic medical center. PARTICIPANTS: Adult HIV-infected patients, seen in inpatient and outpatient setting. MAIN OUTCOMES AND MEASURES: We used logistic regression to create a prediction risk model for cardiovascular events using data from the development cohort. Using a point-based risk-scoring system, we summarized the relationship between risk factors and cardiovascular disease (CVD) risk. We then used the area under the receiver operating characteristics curve (AUC) to evaluate model discrimination. Finally, we tested the model using a validation cohort. RESULTS: 1914 individuals met the inclusion criteria. The model had excellent discrimination for CVD risk [AUC 0.989; (95% CI: 0.986-0.993)] and included the following 11 variables: male sex (95% CI: 2.53-3.99), African American race/ethnicity (95% CI: 1.50-3.13), current age (95% CI: 0.07-0.13), age at HIV diagnosis (95% CI: -0.10-(-0.02)), peak HIV viral load (95% CI: 9.89 × 10-7-3.00 × 10-6), nadir CD4 lymphocyte count (95% CI: -0.03-(-0.02)), hypertension (95% CI: 0.20-1.54), hyperlipidemia (95% CI: 3.03-4.60), diabetes (95% CI: 0.61-1.89), chronic kidney disease (95% CI: 1.26-2.62), and smoking (95% CI: 0.12-2.39). The eleven-parameter multiple logistic regression model had excellent discrimination [AUC 0.957; (95% CI: 0.938-0.975)] when applied to the validation cohort. CONCLUSIONS AND RELEVANCE: Our novel HIV-CARDIO-PREDICT Score may provide a rapid and accurate evaluation of CV disease risk among HIV-infected patients and inform prevention measures.

"Community members have more impact on their neighbors than celebrities": leveraging community partnerships to build COVID-19 vaccine confidence.

BACKGROUND: Vaccines are a strong public health tool to protect against severe disease, hospitalization, and death from COVID-19. Still, inequities in COVID-19 vaccination rates and health outcomes continue to exist among Black and Latino populations. Boston Medical Center (BMC) has played a significant role in vaccinating medically underserved populations, and organized a series of community-engaged conversations to better understand community concerns regarding the COVID-19 vaccine. This paper describes the themes which resulted from these community-engaged conversations and proposes next steps for healthcare leaders. METHODS: We accessed nine publicly available recordings of the community-engaged conversations which were held between March 2021 and September 2021 and ranged from 8 to 122 attendees. Six conversations prioritized specific groups: the Haitian-Creole community, the Cape Verdean community, the Latino community, the Black Christian Faith community, guardians who care for children living with disabilities, and individuals affected by systemic lupus erythematosus. Remaining conversations targeted the general public of the Greater Boston Area. We employed a Consolidated Framework for Implementation Research-driven codebook to code our data. Our analysis utilized a modified version of qualitative rapid analysis methods. RESULTS: Five main themes emerged from these community-engaged conversations: (1) Structural factors are important barriers to COVID-19 vaccination; (2) Mistrust exists due to the negative impact of systemic oppression and perceived motivation of the government; (3) There is a desire to learn more about biological and clinical characteristics of the COVID-19 vaccine as well as the practical implications of being vaccinated; (4) Community leaders emphasize community engagement for delivering COVID-19 information and education and; (5) Community leaders believe that the COVID-19 vaccine is a solution to address the pandemic. CONCLUSION: This study illustrates a need for community-engaged COVID-19 vaccine messaging which reflects the nuances of the COVID-19 vaccine and pandemic without oversimplifying information. In highlighting common concerns of the Greater Boston Area which contribute to a lack of confidence in the COVID-19 vaccine, we underscore important considerations for public health and healthcare leadership in the development of initiatives which work to advance health equity.

Retaining Faculty from Underrepresented Groups in Academic Medicine: Results from a Needs Assessment.

OBJECTIVES: Academic medical centers can improve the quality of care and address health inequities by recruiting and retaining faculty from underrepresented in medicine (URiM) groups; however, the retention of URiM faculty is a barrier to reaching equity-related goals because URiM faculty are less likely to remain in academia and be promoted compared with their peers. As such, the objective of this study was to determine factors that influence the retention of URiM faculty at large academic centers. METHODS: One-time, semistructured stay interviews were conducted to assess the experiences of URiM faculty at a large academic hospital in Boston, Massachusetts between October 2016 and April 2017. A qualitative researcher coded the transcripts and identified central themes. RESULTS: The participants (N = 17) were 65% Black/African American and 35% Hispanic/Latinx. The median number of years on faculty was 3 years (range 1-33). The themes identified through the stay interviews were grouped into three domains: areas of strength, challenges to advancement, and suggestions for improvement of support. Participants voiced leadership support in their development, the community of patients, URiM networking opportunities, and mentorship as strengths. The barriers to retention included the lack of transparency and trust in their work, a sense of tokenism, organizational management issues, and implicit biases. The suggested ways to improve support included the expanding of initiatives to include all members of groups URiM, continuing URiM faculty development programs, and increasing funding to support advancement. CONCLUSIONS: This study underscored the importance of supportive leadership, URiM-specific faculty development programs, networking opportunities, and the recognition of achievements as factors that influence the retention of faculty at a large academic medical center. In addition, participants highlighted the need for strong mentor networks and emphasizing sponsorship.

Inequities in COVID-19 vaccine and booster coverage across Massachusetts ZIP codes after the emergence of Omicron: A population-based cross-sectional study.

BACKGROUND: Inequities in Coronavirus Disease 2019 (COVID-19) vaccine and booster coverage may contribute to future disparities in morbidity and mortality within and between Massachusetts (MA) communities. METHODS AND FINDINGS: We conducted a population-based cross-sectional study of primary series vaccination and booster coverage 18 months into the general population vaccine rollout. We obtained public-use data on residents vaccinated and boosted by ZIP code (and by age group: 5 to 19, 20 to 39, 40 to 64, 65+) from MA Department of Public Health, as of October 10, 2022. We constructed population denominators for postal ZIP codes by aggregating census tract population estimates from the 2015-2019 American Community Survey. We excluded nonresidential ZIP codes and the smallest ZIP codes containing 1% of the state's population. We mapped variation in ZIP code-level primary series vaccine and booster coverage and used regression models to evaluate the association of these measures with ZIP code-level socioeconomic and demographic characteristics. Because age is strongly associated with COVID-19 severity and vaccine access/uptake, we assessed whether observed socioeconomic and racial/ethnic inequities persisted after adjusting for age composition and plotted age-specific vaccine and booster coverage by deciles of ZIP code characteristics. We analyzed data on 418 ZIP codes. We observed wide geographic variation in primary series vaccination and booster rates, with marked inequities by ZIP code-level education, median household income, essential worker share, and racial/ethnic composition. In age-stratified analyses, primary series vaccine coverage was very high among the elderly. However, we found large inequities in vaccination rates among younger adults and children, and very large inequities in booster rates for all age groups. In multivariable regression models, each 10 percentage point increase in "percent college educated" was associated with a 5.1 (95% confidence interval (CI) 3.9 to 6.3, p < 0.001) percentage point increase in primary series vaccine coverage and a 5.4 (95% CI 4.5 to 6.4, p < 0.001) percentage point increase in booster coverage. Although ZIP codes with higher "percent Black/Latino/Indigenous" and higher "percent essential workers" had lower vaccine coverage (-0.8, 95% CI -1.3 to -0.3, p < 0.01; -5.5, 95% CI -7.3 to -3.8, p < 0.001), these associations became strongly positive after adjusting for age and education (1.9, 95% CI 1.0 to 2.8, p < 0.001; 4.8, 95% CI 2.6 to 7.1, p < 0.001), consistent with high demand for vaccines among Black/Latino/Indigenous and essential worker populations within age and education groups. Strong positive associations between "median household income" and vaccination were attenuated after adjusting for age. Limitations of the study include imprecision of the estimated population denominators, lack of individual-level sociodemographic data, and potential for residential ZIP code misreporting in vaccination data. CONCLUSIONS: Eighteen months into MA's general population vaccine rollout, there remained large inequities in COVID-19 primary series vaccine and booster coverage across MA ZIP codes, particularly among younger age groups. Disparities in vaccination coverage by racial/ethnic composition were statistically explained by differences in age and education levels, which may mediate the effects of structural racism on vaccine uptake. Efforts to increase booster coverage are needed to limit future socioeconomic and racial/ethnic disparities in COVID-19 morbidity and mortality.

"I've been 95% safe": perspectives on HIV pre-exposure prophylaxis at a drug detoxification center: a qualitative study.

Pre-exposure prophylaxis (PrEP) decreases human immunodeficiency virus (HIV) acquisition among persons who inject drugs (PWID); however, its uptake has been suboptimal. We explored HIV risk perceptions and PrEP interest among drug detoxification center patients in the context of the ongoing opioid overdose epidemic. We conducted in-depth interviews of patients (n = 24) and professional key informants (n = 10 physicians, case managers, nurses, and harm reduction educators), and thematic analysis of coded data. The mean age of participants (patients) was 37 years; 54% identified as male and 67% as White. Although 71% reported injecting drugs and 62% had condomless sex in the past 6 months, participants had mixed HIV risk perceptions, and some viewed PrEP as an undesirable indicator of elevated HIV risk. Nevertheless, many participants viewed drug detoxification as a first step towards embarking on a "healthier lifestyle," with some narratives identifying opportunities for delivering PrEP information and services in this setting. Opportunities exist to expand PrEP at drug detoxification centers, but initiatives are needed to educate patients and staff on indications and benefits of this prevention tool. Interventions are also needed to determine the best strategies for implementing PrEP adoption in this setting.

Laboratory test trends within 72 hours of hospital admission associated with death among COVID-19 patients.

Early identification of patients at risk for severe coronavirus disease 2019 (COVID-19) is crucial for appropriate triage and determination of need for closer monitoring. Few studies have examined laboratory trends in COVID-19 infection and sought to quantify the degree to which laboratory values affect mortality. We conducted a retrospective cohort (n = 407) study of hospitalized patients with COVID-19 early in the course of the pandemic, from March 16th to April 8th, 2020 and compared baseline to repeat laboratory testing 72 hours into admission. The primary outcome was death. We found that rises of 25 mg/L C-reactive protein, 50 units/L lactate dehydrogenase, and 100 ng/mL ferritin were associated with 23%, 28%, and 1% increased odds of death, respectively. In contrast, changes in fibrinogen, D-dimer, white blood cell count, and creatinine in the first few days of hospital admission were not associated with mortality. These quantitative findings may assist clinicians in determining the risk of potential clinical decline in patients with COVID-19 and influence early management.

Barriers to accessing treatment for substance use after inpatient managed withdrawal (Detox): A qualitative study.

INTRODUCTION: Access to and uptake of evidence-based treatment for substance use disorder, specifically opioid use disorder (OUD), are limited despite the high death toll from drug overdose in the United States in recent years. Patient perceived barriers to evidence-based treatment after completion of short-term inpatient medically managed withdrawal programs (detox) have not been well studied. The purpose of the current study is to elicit patients' perspectives on challenges to transition to treatment, including medications for OUD (MOUD), after detox and potential solutions. METHODS: We conducted semi-structured interviews (N = 24) at a detox center (2018-2019) to explore patients' perspectives on obstacles to treatment. The study managed the data in NVivo and we used content analysis to identify themes. RESULTS: Patients' characteristics included the following: 54 % male; mean age 37 years; self-identified as White 67 %, Black 13 %, Latinx 8 %, Native Hawaiian/Pacific Islander 4 %, and other 8 %; heroin use in the past 3 months 67 %; and ever injecting drugs 71 %. Patients identified the following barriers: 1) lack of continuity of care; 2) limited number of detox and residential treatment program beds; 3) unstable housing; and 4) lack of options when choosing a treatment pathway. Solutions proposed by participants included: 1) increase low-barrier access to community MOUD; 2) add case managers at the detox center to establish continuity of care after discharge; 3) increase assistance with housing; and 4) encourage patient participation in treatment decisions. CONCLUSIONS: Patients identified lack of continuity of care, especially care coordination, as a major barrier to substance use treatment. Increasing treatment utilization, including MOUD, necessitates a multimodal approach to continuity of care, low-barrier access to MOUD, and support to address unstable housing. Patients want care that incorporates options and respect for. individualized preferences and needs.

Factors associated with inpatient complications among patients with obesity and COVID-19 at an urban safety-net hospital: A retrospective cohort study.

Objective: Obesity increases morbidity and mortality from Coronavirus disease 2019 (COVID-19). This study characterized inpatient complications among patients with obesity and COVID-19-including myocardial infarction, renal failure requiring dialysis, stroke, secondary bacterial infection, and venous thromboembolism-and identified factors associated with developing at least one inpatient complication at a safety-net hospital with a diverse cohort. Methods: A retrospective review was performed of all patients admitted for ≥3 days with COVID-19 between 16 March 2020, and 8 April 2020. Logistic regression identified factors associated with developing at least one COVID-19-related complication among patients with obesity (body mass index ≥30 kg/m2). Results: 374 patients were included; 53.7% were classified as having obesity, 43.9% identified as Black, and 38.5% identified as Latino or Hispanic. Obesity was not associated with having at least one inpatient complication on multivariable analysis, but increased age (aOR 1.02, [95% CI 1.01-1.04], p = 0.010) and obstructive sleep apnea (aOR 2.25, [1.08-4.85], p = 0.034) were associated with this outcome. Conclusions: Obesity was not associated with specified inpatient complications among patients with COVID-19 admitted to a health system caring for diverse patients. Future studies should incorporate larger cohorts and reflect newer treatment protocols.

Estimating Absenteeism Related to Nonalcohol Substance Use in a US National Cohort of Full-Time Employees.

OBJECTIVE: We aimed to estimate absenteeism due to substance use disorder among full-time employees. METHODS: We used the 2018 National Survey on Drug Use and Health to identify a sample of individuals employed full time. We used a survey-weighted multivariable negative binomial model to evaluate the association between absenteeism and type of substance use disorder controlling for available demographic information. RESULTS: In the adjusted model, we estimated that opioid use without a disorder had the highest absenteeism for use, and polysubstance use disorder had the highest absenteeism among use disorders. In a hypothetical firm of 10,000 employees, we estimate $232,000 of lost wage value annually. CONCLUSIONS: Substance use is associated with absenteeism and presents a compelling argument for employers to promote programs that support treatment for employees and reduce downstream costs associated with absenteeism and turnover.

Metamodeling for Policy Simulations with Multivariate Outcomes.

PURPOSE: Metamodels are simplified approximations of more complex models that can be used as surrogates for the original models. Challenges in using metamodels for policy analysis arise when there are multiple correlated outputs of interest. We develop a framework for metamodeling with policy simulations to accommodate multivariate outcomes. METHODS: We combine 2 algorithm adaptation methods-multitarget stacking and regression chain with maximum correlation-with different base learners including linear regression (LR), elastic net (EE) with second-order terms, Gaussian process regression (GPR), random forests (RFs), and neural networks. We optimize integrated models using variable selection and hyperparameter tuning. We compare the accuracy, efficiency, and interpretability of different approaches. As an example application, we develop metamodels to emulate a microsimulation model of testing and treatment strategies for hepatitis C in correctional settings. RESULTS: Output variables from the simulation model were correlated (average ρ = 0.58). Without multioutput algorithm adaptation methods, in-sample fit (measured by R2) ranged from 0.881 for LR to 0.987 for GPR. The multioutput algorithm adaptation method increased R2 by an average 0.002 across base learners. Variable selection and hyperparameter tuning increased R2 by 0.009. Simpler models such as LR, EE, and RF required minimal training and prediction time. LR and EE had advantages in model interpretability, and we considered methods for improving the interpretability of other models. CONCLUSIONS: In our example application, the choice of base learner had the largest impact on R2; multioutput algorithm adaptation and variable selection and hyperparameter tuning had a modest impact. Although advantages and disadvantages of specific learning algorithms may vary across different modeling applications, our framework for metamodeling in policy analyses with multivariate outcomes has broad applicability to decision analysis in health and medicine.