Testing a Way to Keep Staph Infections from Recurring

Tobin, Jonathan N.; Gándara, María Pardos de la; D’Orazio, Brianna; Hower, Suzanne; Vaughan, Roger; Rosa, Joel Corrêa da; Kost, Rhonda G.; Vasquez, Kimberly S.; Evering, Teresa H.; Khalida, Chamanara; Lencastre, Hermı́nia de; Tomasz, Alexander; Coller, Barry S.

doi:10.25302/08.2020.cer.140210800

Cited by 2 publications

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“…The interactions among academic/scientists and community/clinicians were sustained from beginning to end of the CAMP1/CAMP2 projects. The successful outcomes of this ongoing engagement is evident in publications across the translational spectrum illuminating molecular findings [ 20 , 21 ], clinical observations [ 19 , 23 , 25 ], and aspects of implementation [ 13 , 22 , 24 ]. In CAMP1, the Community Clinicians from CHCs, many of whom fulfill leadership roles at their sites, were brought to the partnership through their relationship to the CDN PBRN and formed the initial critical bridge between the community and the scientists in this network.…”

Section: Discussionmentioning

confidence: 99%

“…By multiple objective measures, the CAMP partnership was successful: CAMP1/2 enrolled more than 270 participants, accomplished its scientific and patient-centered aims, and produced a range of publications spanning the phases of translational research [ 18 ] that describe the basic biology and clinical aspects of CA-MRSA in the study population [ 19 – 23 ], the outcome of the CER intervention [ 24 , 25 ] features of the CEnR team science model [ 13 ], and disseminated results to diverse audiences [ 24 – 26 ]. Qualitative measures of collaboration were not collected prospectively in the CAMP1/2 projects.…”

Section: Introductionmentioning

confidence: 99%

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Using attendance data for social network analysis of a community-engaged research partnership

Vasquez

Chatterjee

Khalida

et al. 2020

J. Clin. Trans. Sci.

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Background: The Rockefeller University Center for Clinical and Translational Science (RU-CCTS) and Clinical Directors Network (CDN), a Practice-Based Research Network (PBRN), fostered a community–academic research partnership involving Community Health Center (CHCs) clinicians, laboratory scientists, clinical researchers, community, and patient partners. From 2011 to 2018, the partnership designed and completed Community-Associated Methicillin-Resistant Staphylococcus Aureus Project (CAMP1), an observational study funded by the National Center for Advancing Translational Sciences (NCATS), and CAMP2, a Comparative Effectiveness Research Study funded by the Patient-Centered Outcomes Research Institute (PCORI). We conducted a social network analysis (SNA) to characterize this Community-Engaged Research (CEnR) partnership. Methods: Projects incorporated principles of Community-Based Participatory Research (CAMP1/2) and PCORI engagement rubrics (CAMP2). Meetings were designed to be highly interactive, facilitate co-learning, share governance, and incentivize ongoing engagement. Meeting attendance formed the raw dataset enriched by stakeholder roles and affiliations. We used SNA software (Gephi) to form networks for four project periods, characterize network attributes (density, degree, centrality, vulnerability), and create sociograms. Polynomial regression models were used to study stakeholder interactions. Results: Forty-seven progress meetings engaged 141 stakeholders, fulfilling 7 roles, and affiliated with 28 organizations (6 types). Network size, density, and interactions across organizations increased over time. Interactions between Community Members or Recruiters/Community Health Workers and almost every other role increased significantly across CAMP2 (P < 0.005); Community Members’ centrality to the network increased over time. Conclusions: In a partnership with a highly interactive meeting model, SNA using operational attendance data afforded a view of stakeholder interactions that realized the engagement goals of the partnership.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using attendance data for social network analysis of a community-engaged research partnership

Vasquez

Chatterjee

Khalida

et al. 2020

J. Clin. Trans. Sci.

Self Cite

View full text Add to dashboard Cite

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“…Other co-variates included in our analyses involve participants' demographic profile, including race, assigned sex at birth, social network, environmental exposures, and other variables previously reported [19]. We also aggregated and then re-categorized specific variables from a survey tool [20,45] which had themes, e.g., exposure to animals, personal hygiene, social network, crowded conditions, healthcare exposure, and type of wounds.…”

Section: Methodsmentioning

confidence: 99%

“…Typing of the SCCmec gene cassette carrying mecA in all MRSA isolates by multiplex-PCR amplification. All molecular techniques were performed as previously described [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57].…”

Section: Methodsmentioning

confidence: 99%

Molecular Epidemiologic and Geo-Spatial Characterization of Staphylococcus aureus Cultured from Skin and Soft Tissue Infections from United States-Born and Immigrant Patients Living in New York City

Immergluck,

Lin,

Geng

et al. 2023

Antibiotics

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(1) Background: With increasing international travel and mass population displacement due to war, famine, climate change, and immigration, pathogens, such as Staphylococcus aureus (S. aureus), can also spread across borders. Methicillin-resistant S. aureus (MRSA) most commonly causes skin and soft tissue infections (SSTIs), as well as more invasive infections. One clonal strain, S. aureus USA300, originating in the United States, has spread worldwide. We hypothesized that S. aureus USA300 would still be the leading clonal strain among US-born compared to non-US-born residents, even though risk factors for SSTIs may be similar in these two populations (2) Methods: In this study, 421 participants presenting with SSTIs were enrolled from six community health centers (CHCs) in New York City. The prevalence, risk factors, and molecular characteristics for MRSA and specifically clonal strain USA300 were examined in relation to the patients’ self-identified country of birth. (3) Results: Patients born in the US were more likely to have S. aureus SSTIs identified as MRSA USA300. While being male and sharing hygiene products with others were also significant risks for MRSA SSTI, we found exposure to animals, such as owning a pet or working at an animal facility, was specifically associated with risk for SSTIs caused by MRSA USA300. Latin American USA300 variant (LV USA300) was most common in participants born in Latin America. Spatial analysis showed that MRSA USA300 SSTI cases were more clustered together compared to other clonal types either from MRSA or methicillin-sensitive S. aureus (MSSA) SSTI cases. (4) Conclusions: Immigrants with S. aureus infections have unique risk factors and S. aureus molecular characteristics that may differ from US-born patients. Hence, it is important to identify birthplace in MRSA surveillance and monitoring. Spatial analysis may also capture additional information for surveillance that other methods do not.

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Testing a Way to Keep Staph Infections from Recurring

Abstract: What was the research about?Staphylococcus aureus, or staph, is a type of bacteria found on people's skin. MRSA and MSSA are types of staph infections that are hard to treat. They can lead to serious infections or even death. These infections can come back or spread to other people.

Cited by 2 publications

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Using attendance data for social network analysis of a community-engaged research partnership

Using attendance data for social network analysis of a community-engaged research partnership

Molecular Epidemiologic and Geo-Spatial Characterization of Staphylococcus aureus Cultured from Skin and Soft Tissue Infections from United States-Born and Immigrant Patients Living in New York City

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