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Repairing boundaries along pathways to tuberculosis case detection: a qualitative synthesis of intervention designs

BACKGROUND: Tuberculosis case-finding interventions often involve several activities to enhance patient pathways, and it is unclear which activity defines the type of case-finding intervention. When conducting studies to identify the most effective case-finding intervention it is important to have a...

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Autores principales: van Wyk, Susanna S., Medley, Nancy, Young, Taryn, Oliver, Sandy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751340/
https://www.ncbi.nlm.nih.gov/pubmed/35012561
http://dx.doi.org/10.1186/s12961-021-00811-0
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author van Wyk, Susanna S.
Medley, Nancy
Young, Taryn
Oliver, Sandy
author_facet van Wyk, Susanna S.
Medley, Nancy
Young, Taryn
Oliver, Sandy
author_sort van Wyk, Susanna S.
collection PubMed
description BACKGROUND: Tuberculosis case-finding interventions often involve several activities to enhance patient pathways, and it is unclear which activity defines the type of case-finding intervention. When conducting studies to identify the most effective case-finding intervention it is important to have a clear understanding of these interventions for meaningful comparisons. This review aimed to construct a systems-based logic model of all pathways to tuberculosis case detection through a synthesis of intervention designs. METHODS: We identified an existing systematic review on the effectiveness of interventions to increase tuberculosis case detection and updated the search from December 2016 to October 2020. We included randomized controlled trials, as these designs encourage detailed description of interventions. Taking each study in turn, intervention descriptions were read in detail. The texts were analysed qualitatively by constantly comparing emerging codes to construct patient journeys, visualized as logical chains. Actions taken as part of interventions were positioned along patient journeys to theorize the sequence of outcomes. Patient journeys formed the basis of the model, which was refined through discussion. RESULTS: Based on intervention descriptions from 17 randomized controlled trials, our model distinguishes two care-seeking pathways and four screening pathways. An open invitation to people with tuberculosis symptoms creates care-seeking pathways. On care-seeking pathways, systematic screening can be conducted at general health services, but not at specific TB care services. People invited to tuberculosis services regardless of symptoms follow tuberculosis screening pathways and may be identified with presumptive tuberculosis even if they do not seek care for tuberculosis symptoms. Tuberculosis screening pathways include screening offered to all people accessing care at general health services, screening at a mobile clinic or health facility with open invitation to a whole population or tuberculosis contacts, screening personally offered to a whole population or tuberculosis contacts at home, work or school, and screening offered to people receiving care for human immunodeficiency virus or other clinical risk-group care. CONCLUSION: This systems-based logic model of tuberculosis case-finding pathways may support standardized terminology, consistency, transparency and improved communication among researchers, policy-makers, health workers and community members when implementing and evaluating interventions to improve tuberculosis case detection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12961-021-00811-0.
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spelling pubmed-87513402022-01-12 Repairing boundaries along pathways to tuberculosis case detection: a qualitative synthesis of intervention designs van Wyk, Susanna S. Medley, Nancy Young, Taryn Oliver, Sandy Health Res Policy Syst Review BACKGROUND: Tuberculosis case-finding interventions often involve several activities to enhance patient pathways, and it is unclear which activity defines the type of case-finding intervention. When conducting studies to identify the most effective case-finding intervention it is important to have a clear understanding of these interventions for meaningful comparisons. This review aimed to construct a systems-based logic model of all pathways to tuberculosis case detection through a synthesis of intervention designs. METHODS: We identified an existing systematic review on the effectiveness of interventions to increase tuberculosis case detection and updated the search from December 2016 to October 2020. We included randomized controlled trials, as these designs encourage detailed description of interventions. Taking each study in turn, intervention descriptions were read in detail. The texts were analysed qualitatively by constantly comparing emerging codes to construct patient journeys, visualized as logical chains. Actions taken as part of interventions were positioned along patient journeys to theorize the sequence of outcomes. Patient journeys formed the basis of the model, which was refined through discussion. RESULTS: Based on intervention descriptions from 17 randomized controlled trials, our model distinguishes two care-seeking pathways and four screening pathways. An open invitation to people with tuberculosis symptoms creates care-seeking pathways. On care-seeking pathways, systematic screening can be conducted at general health services, but not at specific TB care services. People invited to tuberculosis services regardless of symptoms follow tuberculosis screening pathways and may be identified with presumptive tuberculosis even if they do not seek care for tuberculosis symptoms. Tuberculosis screening pathways include screening offered to all people accessing care at general health services, screening at a mobile clinic or health facility with open invitation to a whole population or tuberculosis contacts, screening personally offered to a whole population or tuberculosis contacts at home, work or school, and screening offered to people receiving care for human immunodeficiency virus or other clinical risk-group care. CONCLUSION: This systems-based logic model of tuberculosis case-finding pathways may support standardized terminology, consistency, transparency and improved communication among researchers, policy-makers, health workers and community members when implementing and evaluating interventions to improve tuberculosis case detection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12961-021-00811-0. BioMed Central 2022-01-10 /pmc/articles/PMC8751340/ /pubmed/35012561 http://dx.doi.org/10.1186/s12961-021-00811-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
van Wyk, Susanna S.
Medley, Nancy
Young, Taryn
Oliver, Sandy
Repairing boundaries along pathways to tuberculosis case detection: a qualitative synthesis of intervention designs
title Repairing boundaries along pathways to tuberculosis case detection: a qualitative synthesis of intervention designs
title_full Repairing boundaries along pathways to tuberculosis case detection: a qualitative synthesis of intervention designs
title_fullStr Repairing boundaries along pathways to tuberculosis case detection: a qualitative synthesis of intervention designs
title_full_unstemmed Repairing boundaries along pathways to tuberculosis case detection: a qualitative synthesis of intervention designs
title_short Repairing boundaries along pathways to tuberculosis case detection: a qualitative synthesis of intervention designs
title_sort repairing boundaries along pathways to tuberculosis case detection: a qualitative synthesis of intervention designs
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751340/
https://www.ncbi.nlm.nih.gov/pubmed/35012561
http://dx.doi.org/10.1186/s12961-021-00811-0
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