Leprosy post-exposure prophylaxis with single-dose rifampicin: toolkit for implementation Article Swipe
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.47276/lr.90.4.356
Objective: Leprosy post-exposure prophylaxis with single-dose rifampicin (SDRPEP) has proven effective and feasible, and is recommended by WHO since 2018. This SDR-PEP toolkit was developed through the experience of the leprosy postexposure prophylaxis (LPEP) programme. It has been designed to facilitate and standardise the implementation of contact tracing and SDR-PEP administration in regions and countries that start the intervention. Results: Four tools were developed, incorporating the current evidence for SDRPEP and the methods and learnings from the LPEP project in eight countries. (1) the SDR-PEP policy/advocacy PowerPoint slide deck which will help to inform policy makers about the evidence, practicalities and resources needed for SDR-PEP, (2) the SDR-PEP field implementation training PowerPoint slide deck to be used to train front line staff to implement contact tracing and PEP with SDR, (3) the SDR-PEP generic field guide which can be used as a basis to create a location specific field protocol for contact tracing and SDR-PEP serving as a reference for frontline field staff. Finally, (4) the SDR-PEP toolkit guide, summarising the different components of the toolkit and providing instructions on its optimal use. Conclusion: In response to interest expressed by countries to implement contact tracing and leprosy PEP with SDR in the light of the WHO recommendation of SDRPEP, this evidence-based, concrete yet flexible toolkit has been designed to serve national leprosy programme managers and support them with the practical means to translate policy into practice. The toolkit is freely accessible on the Infolep homepages and updated as required: https://www.leprosy-information.org/keytopic/leprosy-postexposure-prophylaxis-lpep-programme
Related Topics
- Type
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- en
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- https://leprosyreview.org/admin/public/article_shell/uploads/article_files/Lepra/LEPROSY/90/4/lr190063/lr190063.pdf
- OA Status
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W3006685914Canonical identifier for this work in OpenAlex
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https://doi.org/10.47276/lr.90.4.356Digital Object Identifier
- Title
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Leprosy post-exposure prophylaxis with single-dose rifampicin: toolkit for implementationWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-12-01Full publication date if available
- Authors
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Tanja Barth‐Jaeggi, Arielle Cavaliero, Ann Aerts, Sunil Anand, Mohammad Arif, Sao Sarady Ay, Tin Maung Aye, Nand Lal Banstola, Rabindra Baskota, David D. Blaney, Marc Bonenberger, Wim H. van Brakel, Hugh Cross, Vishnu Das, Teky Budiawan, Nilanthi Fernando, Zaahira Gani, Helena Greter, Eliane Ignotti, Deus Kamara, Christa Kasang, Burkard Koömm, Anil Kumar, Sambath Lay, Liesbeth Mieras, Fareed Mirza, Beatrice Mutayoba, Blasdus Njako, Tiara Pakasi, Jan Hendrik Richardus, Paul Saunderson, Cairns S Smith, René Stäheli, Nayani Suriyarachchi, Tin Shwe, Anuj Tiwari, Millawage Supun Dilara Wijesinghe, J. Berkel, Bart Vander Plaetse, Marcos Virmond, Peter SteinmannList of authors in order
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https://doi.org/10.47276/lr.90.4.356Publisher landing page
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https://leprosyreview.org/admin/public/article_shell/uploads/article_files/Lepra/LEPROSY/90/4/lr190063/lr190063.pdfDirect link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://leprosyreview.org/admin/public/article_shell/uploads/article_files/Lepra/LEPROSY/90/4/lr190063/lr190063.pdfDirect OA link when available
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Contact tracing, Medicine, Protocol (science), Leprosy, Medical physics, Medical education, Coronavirus disease 2019 (COVID-19), Pathology, Alternative medicine, Infectious disease (medical specialty), DiseaseTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 1, 2024: 1, 2022: 1, 2020: 1Per-year citation counts (last 5 years)
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13Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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