11 results on '"Anderson, Bridget J."'
Search Results
2. An End-User Participatory Approach to Collaboratively Refine HIV Care Data, The New York State Experience
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Swain, Carol-Ann, Sawicki, Steven, Addison, Diane, Katz, Benjamin, Piersanti, Kelly, Baim-Lance, Abigail, Gordon, Daniel, Anderson, Bridget J., Nash, Denis, Steinbock, Clemens, and Agins, Bruce
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- 2019
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3. Meningococcal Disease in Persons With HIV Reported Through Active Surveillance in the United States, 2009–2019.
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Rudmann, Keegan C, Cooper, Gabrielle, Marjuki, Henju, Reingold, Arthur, Barnes, Meghan, Petit, Susan, Moore, Ashley, Harrison, Lee H, Lynfield, Ruth, Khanlian, Sarah A, Anderson, Bridget J, Martin, Tasha, Schaffner, William, McNamara, Lucy A, and Rubis, Amy B
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MENINGOCOCCAL infections ,WATCHFUL waiting ,MASS surveillance ,BACTERIAL diseases ,HIV ,NEISSERIA meningitidis - Abstract
Persons with HIV (PWH) are at increased risk for bacterial infections, and previous publications document an increased risk for invasive meningococcal disease (IMD) in particular. This analysis provides evidence that PWH face a 6-fold increase in risk for IMD based on Active Bacterial Core surveillance data collected during 2009–2019. [ABSTRACT FROM AUTHOR]
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- 2024
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4. Substance Abuse Treatment Utilization, HIV Risk Behaviors, and Recruitment Among Suburban Injection Drug Users in Long Island, New York
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Watson, Carol-Ann, Weng, Charlene Xuelin, French, Tyler, Anderson, Bridget J., Nemeth, Chris, McNutt, Louise-Anne, and Smith, Lou C.
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- 2014
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5. Enhancing the ATra Black Box Matching Algorithm: Use of All Names for Deduplication Across Jurisdictions.
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Hamp, Auntré D., Karn, Helen E., Kwon, Frances Y., Rhodes, Anne, Carrier, James, Bhattacharjee, Reshma, Flynn, Colin, Hsu, Trevor, McNeice, John, Anderson, Bridget J., Chicoine, Joyce, Fridge, Jessica, King, Justice, Lum, Garret R., Mishra, Tej, Kang, Alisa, and Smart, J.C.
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PRIVACY ,HIV-positive persons ,COMPUTER software ,DATABASE management ,MEDICAL ethics ,MEDICAL records ,DESCRIPTIVE statistics ,DATA security ,ALGORITHMS - Abstract
Objectives: Achieving accurate, timely, and complete HIV surveillance data is complicated in the United States by migration and care seeking across jurisdictional boundaries. To address these issues, public health entities use the ATra Black Box—a secure, electronic, privacy-assuring system developed by Georgetown University—to identify and confirm potential duplicate case records, exchange data, and perform other analytics to improve the quality of data in the Enhanced HIV/AIDS Reporting System (eHARS). We aimed to evaluate the ability of 2 ATra software algorithms to identify potential duplicate case-pairs across 6 jurisdictions for people living with diagnosed HIV. Methods: We implemented 2 matching algorithms for identifying potential duplicate case-pairs in ATra software. The Single Name Matching Algorithm examines only 1 name for a person, whereas the All Names Matching Algorithm examines all names in eHARS for a person. Six public health jurisdictions used the algorithms. We compared outputs for the overall number of potential matches and changes in matching level. Results: The All Names Matching Algorithm found more matches than the Single Name Matching Algorithm and increased levels of match. The All Names Matching Algorithm identified 9070 (4.5%) more duplicate matches than the Single Name Matching Algorithm (n = 198 828) and increased the total number of matches at the exact through high levels by 15.4% (from 167 156 to 192 932; n = 25 776). Conclusions: HIV data quality across multiple jurisdictions can be improved by using all known first and last names of people living with diagnosed HIV that match with eHARS rather than using only 1 first and last name. [ABSTRACT FROM AUTHOR]
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- 2023
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6. Neural Tube Defects in Pregnancies Among Women With Diagnosed HIV Infection--15 Jurisdictions, 2013-2017
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Reefhuis, Jennita, FitzHarris, Lauren F., Gray, Kristen Mahle, Nesheim, Steven, Tinker, Sarah C., Isenburg, Jennifer, Laffoon, Benjamin T., Lowry, Joseph, Poschman, Karalee, Cragan, Janet D., Stephens, Fay K., Fornoff, Jane E., Ward, Cheryl A., Tran, Tri, Hoover, Ashley E., Nestoridi, Eirini, Kersanske, Laura, Piccardi, Monika, Boyer, Morgan, Knapp, Mary M., Ibrahim, Abdel R., Browne, Marilyn L., Anderson, Bridget J., Shah, Dipal, Forestieri, Nina E., Maxwell, Jason, Hauser, Kimberlea W., Obiri, Godwin U., Blumenfeld, Rachel, Higgins, Dana, Espinet, Carla P., Lopez, Bernardita, Zielke, Katherine, Jackson, Latoya P., Shumate, Charles, Russell, Kacey, and Lampe, Margaret A.
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United States. Department of Health and Human Services ,Jurisdiction ,Highly active antiretroviral therapy ,HIV infections ,Dolutegravir ,Public health ,Social services ,HIV ,Antiretroviral agents ,Pregnant women ,Neural tube defects ,Infants ,Desire ,Women ,Birth defects ,Health ,World Health Organization - Abstract
In May 2018, a study of birth defects in infants born to women with diagnosed human immunodeficiency virus (HIV) infection in Botswana reported an eightfold increased risk for neural tube [...]
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- 2020
7. Associations between HIV testing and multilevel stigmas among gay men and other men who have sex with men in nine urban centers across the United States.
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Dibble, Kate E., Murray, Sarah M., Wiginton, John Mark, Maksut, Jessica L., Lyons, Carrie E., Aggarwal, Rohin, Augustinavicius, Jura L., Al-Tayyib, Alia, Sey, Ekow Kwa, Ma, Yingbo, Flynn, Colin, German, Danielle, Higgins, Emily, Anderson, Bridget J., Menza, Timothy W., Orellana, E. Roberto, Flynn, Anna B., Wermuth, Paige Padgett, Kienzle, Jennifer, and Shields, Garrett
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UNSAFE sex ,HUMAN sexuality ,GAY men ,HIV ,HIV infection transmission ,SOCIAL stigma - Abstract
Background: Complex manifestation of stigma across personal, community, and structural levels and their effect on HIV outcomes are less understood than effects in isolation. Yet, multilevel approaches that jointly assesses HIV criminalization and personal sexual behavior stigma in relation to HIV testing have not been widely employed or have only focused on specific subpopulations. The current study assesses the association of three types of MSM-related sexual behavior-related stigma (family, healthcare, general social stigma) measured at both individual and site levels and the presence/absence of laws criminalizing HIV transmission with HIV testing behaviors to inform HIV surveillance and prevention efforts among HIV-negative MSM in a holistic and integrated way.Methods: We included nine National HIV Behavioral Surveillance (NHBS) 2017 sites: Baltimore, MD; Denver, CO; Detroit, MI; Houston, TX; Long Island/Nassau-Suffolk, NY; Los Angeles, CA; Portland, OR; San Diego, CA; and Virginia Beach and Norfolk, VA. Multivariable generalized hierarchical linear modeling was used to examine how sexual behavior stigmas (stigma from family, anticipated healthcare stigma, general social stigma) measured at the individual and site levels and state HIV criminalization legislation (no, HIV-specific, or sentence-enhancement laws) were associated with past-year HIV testing behaviors across sites (n = 3,278).Results: The majority of MSM across sites were tested for HIV in the past two years (n = 2,909, 95.4%) with the average number of times tested ranging from 1.79 (SD = 3.11) in Portland, OR to 4.95 (SD = 4.35) in Los Angeles, CA. In unadjusted models, there was a significant positive relationship between stigma from family and being tested for HIV in the past two years. Site-level HIV-specific criminalization laws were associated with an approximate 5% reduction in the prevalence of receiving any HIV test in the past two years after individual level stigma and sociodemographic covariate adjustments (PR = 0.94, 95% CI, 0.90-0.99).Conclusions: Structural barriers faced by MSM persist and ending the HIV epidemic in the US requires a supportive legal environment to ensure effective engagement in HIV services among MSM. Home-based solutions, such as self-testing, used to deliver HIV testing may be particularly important in punitive settings while legal change is advocated for on the community and state levels. [ABSTRACT FROM AUTHOR]- Published
- 2022
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8. Validation of an Optimized Algorithm for Identifying Persons Living With Diagnosed HIV From New York State Medicaid Data, 2006–2014.
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Macinski, Sarah E, Gunn, Jayleen K L, Goyal, Mona, Neighbors, Charles, Yerneni, Rajeev, and Anderson, Bridget J
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AIDS ,ALGORITHMS ,EXPERIMENTAL design ,HIV infections ,HIV-positive persons ,RESEARCH methodology ,MEDICAID ,PUBLIC health surveillance ,PREDICTIVE validity ,RESEARCH methodology evaluation ,DESCRIPTIVE statistics - Abstract
Algorithms are regularly used to identify persons living with diagnosed human immunodeficiency virus (HIV) (PLWDH) in Medicaid data. To our knowledge, there are no published reports of an HIV algorithm from Medicaid claims codes that have been compared with an HIV surveillance system to assess its sensitivity, specificity, positive predictive value, and negative predictive value in identifying PLWDH. Therefore, our aims in this study were to 1) develop an algorithm that could identify PLWDH in New York State Medicaid data from 2006–2014 and 2) validate this algorithm using the New York State HIV surveillance system. Classification and regression tree analysis identified 16 nodes that we combined to create a case-finding algorithm with 5 criteria. This algorithm identified 86,930 presumed PLWDH, 88.0% of which were verified by matching to the surveillance system. The algorithm yielded a sensitivity of 94.5%, a specificity of 94.4%, a positive predictive value of 88.0%, and a negative predictive value of 97.6%. This validated algorithm has the potential to improve the utility of Medicaid data for assessing health outcomes and programmatic interventions. [ABSTRACT FROM AUTHOR]
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- 2020
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9. Investigation of Presumptive HIV Transmission Associated with Hospitalization Using Nucleotide Sequence Analysis - New York, 2017.
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Anderson, Bridget J., Clement, Ernest, Collura, Randall, Gallucci, Abigail, Westheimer, Emily, Braunstein, Sarah, Southwick, Karen, Adams, Eleanor, Lutterloh, Emily, Gonzalez, Charles, McDonald, Robert, Hongwei Jia, Switzer, William M., Patel, Priti R., Joyce, M. Patricia, Oster, Alexandra M., and Jia, Hongwei
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TREATMENT of chronic kidney failure , *DIAGNOSIS of HIV infections , *HIV infection transmission , *CROSS infection , *DISEASE complications , *HIV , *HOSPITAL care , *RNA , *TREATMENT effectiveness , *SEQUENCE analysis - Abstract
Since implementation of Standard Precautions* for the prevention of bloodborne pathogen transmission in 1985, health care-associated transmission of human immunodeficiency virus (HIV) in the United States has been rare (1). In October 2017, the New York City Department of Health and Mental Hygiene (NYCDOHMH) and the New York State Department of Health (NYSDOH) were notified by a clinician of a diagnosis of acute HIV infection in a young adult male (patient A) without recognized risk factors (i.e., he was monogamous, had an HIV-negative partner, and had no injection drug use) who had recently been hospitalized for a chronic medical condition. The low risk coupled with the recent hospitalization and medical procedures prompted NYSDOH, NYCDOHMH, and CDC to investigate this case as possible health care-associated transmission of HIV. Among persons with known HIV infection who had hospitalization dates overlapping those of patient A, one person (patient B) had an HIV strain highly similar to patient A's strain by nucleotide sequence analysis. The sequence relatedness, combined with other investigation findings, indicated a likely health care-associated transmission. Nucleotide sequence analysis, which is increasingly used for detecting HIV clusters (i.e., persons with closely related HIV strains) and to inform public health response (2,3), might also be used to identify possible health care-associated transmission of HIV to someone with health care exposure and no known HIV risk factors (4). [ABSTRACT FROM AUTHOR]
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- 2020
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10. Age-Related Differences in Past or Present Hepatitis C Virus Infection Among People Who Inject Drugs: National Human Immunodeficiency Virus Behavioral Surveillance, 8 US Cities, 2015.
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Abara, Winston E, Trujillo, Lindsay, Broz, Dita, Finlayson, Teresa, Teshale, Eyasu, Paz-Bailey, Gabriela, Glick, Sara, Al-Tayyib, Alia A, Robinson, William T, Masiello-Schuette, Stephanie, Sey, Ekow K, Anderson, Bridget J, Poe, Jonathon, and Braunstein, Sarah
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HEPATITIS C virus ,HIV ,VIRUS diseases ,HARM reduction ,THERAPEUTICS ,NEEDLE sharing - Abstract
Background: Historically, older people who inject drugs (PWID) have had the highest hepatitis C virus (HCV) burden; however, young PWID now account for recent increases. We assessed factors associated with past or present HCV infection (HCV antibody [anti-HCV] positive) among young (≤35 years) and older (>35 years) PWID.Methods: We calculated adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) to examine sociodemographic and past 12-month injection behaviors associated with HCV infection.Results: Of 4094 PWID, 55.2% were anti-HCV positive. Among young PWID, anti-HCV prevalence was 42.1% and associated with ≤high school diploma/General Education Development diploma (GED) (aPR, 1.17 [95% CI, 1.03-1.33]), receptive syringe sharing (aPR, 1.37 [95% CI, 1.21-1.56]), sharing injection equipment (aPR, 1.16 [95% CI, 1.01-1.35]), arrest history (aPR, 1.14 [95% CI, 1.02-1.29]), and injecting speedball (aPR, 1.37 [95% CI, 1.16-1.61]). Among older PWID, anti-HCV prevalence was 62.2% and associated with ≤high school diploma/GED (aPR, 1.08 [95% CI, 1.02-1.15]), sharing injection equipment (aPR, 1.08 [95% CI, 1.02-1.15]), high injection frequency (aPR, 1.16 [95% CI, 1.01-1.34]), and injecting speedball (aPR, 1.09 [95% CI, 1.01-1.16]).Conclusions: Anti-HCV prevalence is high among PWID and varies with age. Scaling up direct-acting antiviral treatment, syringe service programs, and medication-assisted therapy is critical to mitigating transmission risk and infection burden. [ABSTRACT FROM AUTHOR]- Published
- 2019
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11. Postpartum Loss to HIV Care and HIV Viral Suppression among Previously Diagnosed HIV-Infected Women with a Live Birth in New York State.
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Swain, Carol-Ann, Smith, Lou C., Nash, Denis, Pulver, Wendy P., Lazariu, Victoria, Anderson, Bridget J., Warren, Barbara L., Birkhead, Guthrie S., and McNutt, Louise-Anne
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DIAGNOSIS of HIV infections ,HIV-positive women ,POSTNATAL care ,HIV infection transmission ,MEDICAL care - Abstract
Mother-to-child-transmission of HIV in the United States has been greatly reduced, with clear benefits for the child. However, little is known about factors that predict maternal loss to HIV care in the postpartum year. This retrospective cohort study included 980 HIV-positive women, diagnosed with HIV at least one year before pregnancy, who had a live birth during 2008–2010 in New York State. Women who did not meet the following criterion in the 12 months after the delivery-related hospital discharge were considered to be lost to HIV care: two or more laboratory tests (CD4 or HIV viral load), separated by at least 90 days. Adjusted relative risks (aRR) and 95% confidence intervals (CI) for predictors of postpartum loss to HIV care were identified with Poisson regression, solved using generalized estimating equations. Having an unsuppressed (>200 copies/mL) HIV viral load in the postpartum year was also evaluated. Overall, 24% of women were loss to HIV care during the postpartum year. Women with low participation in HIV care during preconception were more likely to be lost to HIV care during the postpartum year (aRR: 2.70; 95% CI: 2.09–3.49). In contrast, having a low birth weight infant was significantly associated with a decreased likelihood of loss to HIV care (aRR: 0.72; 95% CI: 0.53–0.98). While 75% of women were virally suppressed at the last viral load before delivery only 44% were continuously suppressed in the postpartum year; 12% had no viral load test reported in the postpartum year and 44% had at least one unsuppressed viral load test. Lack of engagement in preconception HIV-related health care predicts postpartum loss to HIV care for HIV-positive parturient women. Many women had poor viral control during the postpartum period, increasing the risk of disease progression and infectivity. [ABSTRACT FROM AUTHOR]
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- 2016
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