Cargando…

Experiences in aligning WHO SMART guidelines to classification and terminology standards

OBJECTIVES: Digital adaptation kits (DAKs) distill WHO guidelines for digital use by representing them as workflows, data dictionaries and decision support tables. This paper aims to highlight key lessons learnt in coding data elements of the antenatal care (ANC) and family planning DAKs to standard...

Descripción completa

Detalles Bibliográficos
Autores principales: Pretty, Filippa, Tamrat, Tigest, Ratanaprayul, Natschja, Barreix, Maria, Kostanjsek, Nenad Friedrich Ivan, Gaffield, Mary-Lyn, Thompson, Jenny, Rhodes, Bryn, Jakob, Robert, Mehl, Garrett Livingston, Tunçalp, Özge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439311/
https://www.ncbi.nlm.nih.gov/pubmed/37562854
http://dx.doi.org/10.1136/bmjhci-2022-100691
_version_ 1785092920321245184
author Pretty, Filippa
Tamrat, Tigest
Ratanaprayul, Natschja
Barreix, Maria
Kostanjsek, Nenad Friedrich Ivan
Gaffield, Mary-Lyn
Thompson, Jenny
Rhodes, Bryn
Jakob, Robert
Mehl, Garrett Livingston
Tunçalp, Özge
author_facet Pretty, Filippa
Tamrat, Tigest
Ratanaprayul, Natschja
Barreix, Maria
Kostanjsek, Nenad Friedrich Ivan
Gaffield, Mary-Lyn
Thompson, Jenny
Rhodes, Bryn
Jakob, Robert
Mehl, Garrett Livingston
Tunçalp, Özge
author_sort Pretty, Filippa
collection PubMed
description OBJECTIVES: Digital adaptation kits (DAKs) distill WHO guidelines for digital use by representing them as workflows, data dictionaries and decision support tables. This paper aims to highlight key lessons learnt in coding data elements of the antenatal care (ANC) and family planning DAKs to standardised classifications and terminologies (CATs). METHODS: We encoded data elements within the ANC and family planning DAKs to standardised CATs from the WHO CATs and other freely available CATs. RESULTS: The coding process demonstrated approaches to refine the data dictionaries and enhance alignment between data elements and CATs. DISCUSSION: Applying CATs to WHO clinical and public health guidelines can ensure that recommendations are operationalised in a digital system with appropriate consistency and clarity. This requires a multidisciplinary team and careful review to achieve conceptual equivalence between data elements and standardised terminologies. CONCLUSION: The systematic translation of guidelines into digital systems provides an opportunity for leveraging CATs; however, this approach needs further exploration into its implementation in country contexts and transition into machine-readable components.
format Online
Article
Text
id pubmed-10439311
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-104393112023-08-20 Experiences in aligning WHO SMART guidelines to classification and terminology standards Pretty, Filippa Tamrat, Tigest Ratanaprayul, Natschja Barreix, Maria Kostanjsek, Nenad Friedrich Ivan Gaffield, Mary-Lyn Thompson, Jenny Rhodes, Bryn Jakob, Robert Mehl, Garrett Livingston Tunçalp, Özge BMJ Health Care Inform Implementer Report OBJECTIVES: Digital adaptation kits (DAKs) distill WHO guidelines for digital use by representing them as workflows, data dictionaries and decision support tables. This paper aims to highlight key lessons learnt in coding data elements of the antenatal care (ANC) and family planning DAKs to standardised classifications and terminologies (CATs). METHODS: We encoded data elements within the ANC and family planning DAKs to standardised CATs from the WHO CATs and other freely available CATs. RESULTS: The coding process demonstrated approaches to refine the data dictionaries and enhance alignment between data elements and CATs. DISCUSSION: Applying CATs to WHO clinical and public health guidelines can ensure that recommendations are operationalised in a digital system with appropriate consistency and clarity. This requires a multidisciplinary team and careful review to achieve conceptual equivalence between data elements and standardised terminologies. CONCLUSION: The systematic translation of guidelines into digital systems provides an opportunity for leveraging CATs; however, this approach needs further exploration into its implementation in country contexts and transition into machine-readable components. BMJ Publishing Group 2023-08-10 /pmc/articles/PMC10439311/ /pubmed/37562854 http://dx.doi.org/10.1136/bmjhci-2022-100691 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Implementer Report
Pretty, Filippa
Tamrat, Tigest
Ratanaprayul, Natschja
Barreix, Maria
Kostanjsek, Nenad Friedrich Ivan
Gaffield, Mary-Lyn
Thompson, Jenny
Rhodes, Bryn
Jakob, Robert
Mehl, Garrett Livingston
Tunçalp, Özge
Experiences in aligning WHO SMART guidelines to classification and terminology standards
title Experiences in aligning WHO SMART guidelines to classification and terminology standards
title_full Experiences in aligning WHO SMART guidelines to classification and terminology standards
title_fullStr Experiences in aligning WHO SMART guidelines to classification and terminology standards
title_full_unstemmed Experiences in aligning WHO SMART guidelines to classification and terminology standards
title_short Experiences in aligning WHO SMART guidelines to classification and terminology standards
title_sort experiences in aligning who smart guidelines to classification and terminology standards
topic Implementer Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439311/
https://www.ncbi.nlm.nih.gov/pubmed/37562854
http://dx.doi.org/10.1136/bmjhci-2022-100691
work_keys_str_mv AT prettyfilippa experiencesinaligningwhosmartguidelinestoclassificationandterminologystandards
AT tamrattigest experiencesinaligningwhosmartguidelinestoclassificationandterminologystandards
AT ratanaprayulnatschja experiencesinaligningwhosmartguidelinestoclassificationandterminologystandards
AT barreixmaria experiencesinaligningwhosmartguidelinestoclassificationandterminologystandards
AT kostanjseknenadfriedrichivan experiencesinaligningwhosmartguidelinestoclassificationandterminologystandards
AT gaffieldmarylyn experiencesinaligningwhosmartguidelinestoclassificationandterminologystandards
AT thompsonjenny experiencesinaligningwhosmartguidelinestoclassificationandterminologystandards
AT rhodesbryn experiencesinaligningwhosmartguidelinestoclassificationandterminologystandards
AT jakobrobert experiencesinaligningwhosmartguidelinestoclassificationandterminologystandards
AT mehlgarrettlivingston experiencesinaligningwhosmartguidelinestoclassificationandterminologystandards
AT tuncalpozge experiencesinaligningwhosmartguidelinestoclassificationandterminologystandards