Výsledky vyhledávání - "Amanda Biewer"

Akademický článek

'As a patient I do not belong to the clinic, I belong to the community': co-developing multi-level, person-centred tuberculosis stigma interventions in Cape Town, South Africa

Autor: Sally E. Hayward, Nosivuyile Vanqa, Goodman Makanda, Phumeza Tisile, Luthando Ngwatyu, Isabel Foster, Abenathi A. Mcinziba, Amanda Biewer, Rachel Mbuyamba, Michelle Galloway, Siyavuya Bunyula, Helene-Mari van der Westhuizen, Jon S. Friedland, Andrew Medina-Marino, Lario Viljoen, Ingrid Schoeman, Graeme Hoddinott, Ruvandhi R. Nathavitharana

Publikováno v: BMC Global and Public Health, Vol 2, Iss 1, Pp 1-13 (2024)

Abstract Background Anticipated, internal, and enacted stigma are major barriers to tuberculosis (TB) care engagement and directly impact patient well-being. Unfortunately, targeted stigma interventions are lacking. We aimed to co-develop a person-ce

Externí odkaz: https://doaj.org/article/dc624503a8c048bb9584de2fbf549d4f

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Akademický článek

'This is an illness. No one is supposed to be treated badly': community-based stigma assessments in South Africa to inform tuberculosis stigma intervention design

Autor: Isabel Foster, Amanda Biewer, Nosivuyile Vanqa, Goodman Makanda, Phumeza Tisile, Sally E. Hayward, Dillon T. Wademan, Michaile G. Anthony, Rachel Mbuyamba, Michelle Galloway, Wieda Human, Helene-Mari van der Westhuizen, Jon S. Friedland, Andrew Medina-Marino, Ingrid Schoeman, Graeme Hoddinott, Ruvandhi R. Nathavitharana

Publikováno v: BMC Global and Public Health, Vol 2, Iss 1, Pp 1-15 (2024)

Abstract Background Though tuberculosis (TB)-related stigma is a recognized barrier to care, interventions are lacking, and gaps remain in understanding the drivers and experiences of TB-related stigma. We undertook community-based mixed methods stig

Externí odkaz: https://doaj.org/article/f91eca58b4d94dcf9b3b45fcbc781b99

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Accuracy of digital chest x-ray analysis with artificial intelligence software as a triage and screening tool in hospitalized patients being evaluated for tuberculosis in Lima, Peru

Autor: Amanda Biewer, Christine Tzelios, Karen Tintaya, Betsabe Roman, Shelley Hurwitz, Courtney Yuen, Carole D. Mitnick, Edward Nardell, Leonid Lecca, Dylan B. Tierney, Ruvandhi R. Nathavitharana

Publikováno v: medRxiv

IntroductionTuberculosis (TB) transmission in healthcare facilities is common in high-incidence countries. Yet, the optimal approach for identifying inpatients who may have TB is unclear. We evaluated the diagnostic accuracy of qXR (Qure.ai, India) c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a6b7bbb6cfc3a2cc5c84ee170fab756
https://europepmc.org/articles/PMC10246158/

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