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Rational design of an essential diagnostics network to support Universal Health Coverage: a modeling analysis

BACKGROUND: Diagnostic investigations, including pathology and laboratory medicine (PALM) and radiology, have been largely absent from international strategies such as the Sustainable Development Goals. Further, there is little international guidance on which health system tiers different diagnostic...

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Autores principales: Schroeder, Lee F., Dei-Adomakoh, Yvonne, DeStigter, Kristen, Idigbe, Emmanuel O., Flanigan, John, Ekpale, Priscilla Mawuli Awo, Adjei, Ernest, Roa, Lina, Wilson, Michael L., Horton, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526922/
https://www.ncbi.nlm.nih.gov/pubmed/36183079
http://dx.doi.org/10.1186/s12913-022-08558-2
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author Schroeder, Lee F.
Dei-Adomakoh, Yvonne
DeStigter, Kristen
Idigbe, Emmanuel O.
Flanigan, John
Ekpale, Priscilla Mawuli Awo
Adjei, Ernest
Roa, Lina
Wilson, Michael L.
Horton, Susan
author_facet Schroeder, Lee F.
Dei-Adomakoh, Yvonne
DeStigter, Kristen
Idigbe, Emmanuel O.
Flanigan, John
Ekpale, Priscilla Mawuli Awo
Adjei, Ernest
Roa, Lina
Wilson, Michael L.
Horton, Susan
author_sort Schroeder, Lee F.
collection PubMed
description BACKGROUND: Diagnostic investigations, including pathology and laboratory medicine (PALM) and radiology, have been largely absent from international strategies such as the Sustainable Development Goals. Further, there is little international guidance on which health system tiers different diagnostics should be placed, a critical step in developing a country-level diagnostics network. We describe a modeling strategy to produce tier-specific diagnostic recommendations based on disease burden, current treatment pathways, and existing infrastructure in a country. METHODS: The relational model assumes that diagnostics should be available at the lowest tier where patients might receive medical management. Using Ghana as an exemplar, the 20 diseases forecasted by 2030 and 2040 to cause the greatest burden in low- and middle-income countries were mapped to three generalized tiers in the Ghanaian health system (Primary, Secondary, and Tertiary care) for three levels of each disease (triage, uncomplicated, and complicated). The lowest tier at which a diagnostic could potentially be placed was restricted by existing infrastructure, though placement still required there be a medical justification for the diagnostic at that tier. RESULTS: The model recommended 111 unique diagnostic investigations with 17 at Primary tier, an additional 45 at Secondary tier and a further 49 at Tertiary tier. Estimated capital costs were $8,330 at Primary tier and between $571,000 to $777,000 at Secondary tier. Twenty-eight different laboratory tests were recommended as send-outs from Primary to Secondary tier, and twelve as send-outs to Tertiary tier. CONCLUSIONS: This model provides a transparent framework within which countries can customize diagnostic planning to local disease priorities, health system patient treatment pathways, and infrastructural limitations to best support Universal Health Coverage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08558-2.
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spelling pubmed-95269222022-10-03 Rational design of an essential diagnostics network to support Universal Health Coverage: a modeling analysis Schroeder, Lee F. Dei-Adomakoh, Yvonne DeStigter, Kristen Idigbe, Emmanuel O. Flanigan, John Ekpale, Priscilla Mawuli Awo Adjei, Ernest Roa, Lina Wilson, Michael L. Horton, Susan BMC Health Serv Res Research BACKGROUND: Diagnostic investigations, including pathology and laboratory medicine (PALM) and radiology, have been largely absent from international strategies such as the Sustainable Development Goals. Further, there is little international guidance on which health system tiers different diagnostics should be placed, a critical step in developing a country-level diagnostics network. We describe a modeling strategy to produce tier-specific diagnostic recommendations based on disease burden, current treatment pathways, and existing infrastructure in a country. METHODS: The relational model assumes that diagnostics should be available at the lowest tier where patients might receive medical management. Using Ghana as an exemplar, the 20 diseases forecasted by 2030 and 2040 to cause the greatest burden in low- and middle-income countries were mapped to three generalized tiers in the Ghanaian health system (Primary, Secondary, and Tertiary care) for three levels of each disease (triage, uncomplicated, and complicated). The lowest tier at which a diagnostic could potentially be placed was restricted by existing infrastructure, though placement still required there be a medical justification for the diagnostic at that tier. RESULTS: The model recommended 111 unique diagnostic investigations with 17 at Primary tier, an additional 45 at Secondary tier and a further 49 at Tertiary tier. Estimated capital costs were $8,330 at Primary tier and between $571,000 to $777,000 at Secondary tier. Twenty-eight different laboratory tests were recommended as send-outs from Primary to Secondary tier, and twelve as send-outs to Tertiary tier. CONCLUSIONS: This model provides a transparent framework within which countries can customize diagnostic planning to local disease priorities, health system patient treatment pathways, and infrastructural limitations to best support Universal Health Coverage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08558-2. BioMed Central 2022-10-01 /pmc/articles/PMC9526922/ /pubmed/36183079 http://dx.doi.org/10.1186/s12913-022-08558-2 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 Research
Schroeder, Lee F.
Dei-Adomakoh, Yvonne
DeStigter, Kristen
Idigbe, Emmanuel O.
Flanigan, John
Ekpale, Priscilla Mawuli Awo
Adjei, Ernest
Roa, Lina
Wilson, Michael L.
Horton, Susan
Rational design of an essential diagnostics network to support Universal Health Coverage: a modeling analysis
title Rational design of an essential diagnostics network to support Universal Health Coverage: a modeling analysis
title_full Rational design of an essential diagnostics network to support Universal Health Coverage: a modeling analysis
title_fullStr Rational design of an essential diagnostics network to support Universal Health Coverage: a modeling analysis
title_full_unstemmed Rational design of an essential diagnostics network to support Universal Health Coverage: a modeling analysis
title_short Rational design of an essential diagnostics network to support Universal Health Coverage: a modeling analysis
title_sort rational design of an essential diagnostics network to support universal health coverage: a modeling analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526922/
https://www.ncbi.nlm.nih.gov/pubmed/36183079
http://dx.doi.org/10.1186/s12913-022-08558-2
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