37 research outputs found

    “Community members have more impact on their neighbors than celebrities”: Leveraging community partnerships to build COVID-19 vaccine confidence

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    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. We accessed and analyzed nine publicly available recordings of the community-engaged conversations which were held between Mar 2021-Sep 2021 (n=8-122 attendees). We employed a Consolidated Framework for Implementation Research-driven codebook to code our data and utilized a modified version of qualitative rapid analysis methods. Five main themes emerged: (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 engagement is important for delivering COVID-19 information and education and; (5) Community leaders believe that the COVID-19 vaccine is a solution to address the pandemic. In highlighting the themes which resulted from these community-engaged conversations, 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 and underscores important considerations for public health and healthcare leadership in the development of initiatives which work to advance health equity

    HIV pre-exposure prophylaxis and buprenorphine at a drug detoxification center during the opioid epidemic: opportunities and challenges

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    Human immunodeficiency virus (HIV) pre-exposure prophylaxis (PrEP) and buprenorphine decrease HIV acquisition. Between November, 2016 - July, 2017, we surveyed persons (N=200) at a drug detoxification center to assess their interest in PrEP and in buprenorphine, and to examine factors associated with such interests. Participants had a mean [SD] age of 39 [10] years. Over the previous 6 months, 58% (117/200) injected drugs and 50% (85/171) had condomless sex. Only 22% (26/117) of persons who injected drugs were aware of PrEP, yet 74% (86/116) and 72% (84/116) were interested in oral or injectable PrEP, respectively. Thirty-eight percent (47/125) of persons not receiving buprenorphine or methadone expressed interest in buprenorphine. After multivariable adjustment, Latinx ethnicity was associated with interest in PrEP (aOR: 3.80; 95% CI, 1.37-10.53), while male gender (aOR: 2.76; 95% CI, 1.21-6.34) was associated with interest in buprenorphine. Opportunities exist to implement PrEP and buprenorphine within drug detoxification centers.R01 DA046527 - NIDA NIH HHS; R25DA035163, K23DA044085 - National Institute of Drug Abuse; R01DA046527, P30DA040500 - National Institute of Drug Abuse; P30 DA040500 - NIDA NIH HHS; R25 DA035163 - NIDA NIH HHS; K23 DA044085 - NIDA NIH HHS; P30 AI042853 - NIAID NIH HHS; P30AI042853 - National Institute of Allergy and Infectious DiseasesAccepted manuscrip

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

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    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

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

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    Abstract 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
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