Cargando…

Feasibility and readiness to implement Robson classification to monitor caesarean sections in public hospitals in Myanmar: Formative research

Recent years have demonstrated an increase in caesarean section (CS) in most countries worldwide with considerable concern for the potential consequences. In 2015, WHO proposed the use of Robson classification as a global standard for assessing, monitoring and comparing CS rates. Currently, there is...

Descripción completa

Detalles Bibliográficos
Autores principales: Show, Kyaw Lwin, Maung, Thae Maung, Phyo, Aung Pyae, Aung, Kyaw Thet, Ngamjarus, Chetta, Aye, Nyein Su, Tunçalp, Özge, Betrán, Ana Pilar, Ku, Saw Kler, Lumbiganon, Pisake, Tin, Khaing Nwe, Mon, Nwe Oo, Bohren, Meghan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022350/
https://www.ncbi.nlm.nih.gov/pubmed/36963009
http://dx.doi.org/10.1371/journal.pgph.0001388
_version_ 1784908711891828736
author Show, Kyaw Lwin
Maung, Thae Maung
Phyo, Aung Pyae
Aung, Kyaw Thet
Ngamjarus, Chetta
Aye, Nyein Su
Tunçalp, Özge
Betrán, Ana Pilar
Ku, Saw Kler
Lumbiganon, Pisake
Tin, Khaing Nwe
Mon, Nwe Oo
Bohren, Meghan A.
author_facet Show, Kyaw Lwin
Maung, Thae Maung
Phyo, Aung Pyae
Aung, Kyaw Thet
Ngamjarus, Chetta
Aye, Nyein Su
Tunçalp, Özge
Betrán, Ana Pilar
Ku, Saw Kler
Lumbiganon, Pisake
Tin, Khaing Nwe
Mon, Nwe Oo
Bohren, Meghan A.
author_sort Show, Kyaw Lwin
collection PubMed
description Recent years have demonstrated an increase in caesarean section (CS) in most countries worldwide with considerable concern for the potential consequences. In 2015, WHO proposed the use of Robson classification as a global standard for assessing, monitoring and comparing CS rates. Currently, there is no standardized method to assess CS in Myanmar. The aim of this study was to explore health provider’s perceptions about the feasibility, acceptability and readiness to implement the Robson classification in public hospitals across Myanmar. Ten maternities were purposively chosen, including all five teaching hospitals (tertiary referral hospital-level) affiliated to each medical university in Myanmar, which provide maternal and newborn care services, and district/township hospitals. Face-to-face in-depth interviews (IDI) with healthcare providers and facility administrators were conducted using semi-structured discussion guides. Facility and medical records systems were also assessed. We used the thematic analysis approach and Atlas.ti qualitative analysis software. A total of 67 IDIs were conducted. Most participants had willingness to implement Robson classification if there were sufficient human resources and training. Limited human resources, heavy workloads, and infrastructure resources were the major challenges described that may hinder implementation. The focal person for data entry, analysis, or reporting could be differed according to the level of facility, availability of human resources, and ability to understand medical terms and statistics. The respondents mentioned the important role of policy enforcement for the sustainability of data collection, interpretation and feedback. The optimal review interval period could therefore differ according to the availability of responsible persons, and the number of births. However, setting a fixed schedule according to the specific hospital for continuous monitoring of CS rate is required. In Myanmar, implementation of Robson classification is feasible while key barriers mainly related to human resource and training must be addressed to sustain.
format Online
Article
Text
id pubmed-10022350
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-100223502023-03-17 Feasibility and readiness to implement Robson classification to monitor caesarean sections in public hospitals in Myanmar: Formative research Show, Kyaw Lwin Maung, Thae Maung Phyo, Aung Pyae Aung, Kyaw Thet Ngamjarus, Chetta Aye, Nyein Su Tunçalp, Özge Betrán, Ana Pilar Ku, Saw Kler Lumbiganon, Pisake Tin, Khaing Nwe Mon, Nwe Oo Bohren, Meghan A. PLOS Glob Public Health Research Article Recent years have demonstrated an increase in caesarean section (CS) in most countries worldwide with considerable concern for the potential consequences. In 2015, WHO proposed the use of Robson classification as a global standard for assessing, monitoring and comparing CS rates. Currently, there is no standardized method to assess CS in Myanmar. The aim of this study was to explore health provider’s perceptions about the feasibility, acceptability and readiness to implement the Robson classification in public hospitals across Myanmar. Ten maternities were purposively chosen, including all five teaching hospitals (tertiary referral hospital-level) affiliated to each medical university in Myanmar, which provide maternal and newborn care services, and district/township hospitals. Face-to-face in-depth interviews (IDI) with healthcare providers and facility administrators were conducted using semi-structured discussion guides. Facility and medical records systems were also assessed. We used the thematic analysis approach and Atlas.ti qualitative analysis software. A total of 67 IDIs were conducted. Most participants had willingness to implement Robson classification if there were sufficient human resources and training. Limited human resources, heavy workloads, and infrastructure resources were the major challenges described that may hinder implementation. The focal person for data entry, analysis, or reporting could be differed according to the level of facility, availability of human resources, and ability to understand medical terms and statistics. The respondents mentioned the important role of policy enforcement for the sustainability of data collection, interpretation and feedback. The optimal review interval period could therefore differ according to the availability of responsible persons, and the number of births. However, setting a fixed schedule according to the specific hospital for continuous monitoring of CS rate is required. In Myanmar, implementation of Robson classification is feasible while key barriers mainly related to human resource and training must be addressed to sustain. Public Library of Science 2023-01-30 /pmc/articles/PMC10022350/ /pubmed/36963009 http://dx.doi.org/10.1371/journal.pgph.0001388 Text en © 2023 Show et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Show, Kyaw Lwin
Maung, Thae Maung
Phyo, Aung Pyae
Aung, Kyaw Thet
Ngamjarus, Chetta
Aye, Nyein Su
Tunçalp, Özge
Betrán, Ana Pilar
Ku, Saw Kler
Lumbiganon, Pisake
Tin, Khaing Nwe
Mon, Nwe Oo
Bohren, Meghan A.
Feasibility and readiness to implement Robson classification to monitor caesarean sections in public hospitals in Myanmar: Formative research
title Feasibility and readiness to implement Robson classification to monitor caesarean sections in public hospitals in Myanmar: Formative research
title_full Feasibility and readiness to implement Robson classification to monitor caesarean sections in public hospitals in Myanmar: Formative research
title_fullStr Feasibility and readiness to implement Robson classification to monitor caesarean sections in public hospitals in Myanmar: Formative research
title_full_unstemmed Feasibility and readiness to implement Robson classification to monitor caesarean sections in public hospitals in Myanmar: Formative research
title_short Feasibility and readiness to implement Robson classification to monitor caesarean sections in public hospitals in Myanmar: Formative research
title_sort feasibility and readiness to implement robson classification to monitor caesarean sections in public hospitals in myanmar: formative research
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022350/
https://www.ncbi.nlm.nih.gov/pubmed/36963009
http://dx.doi.org/10.1371/journal.pgph.0001388
work_keys_str_mv AT showkyawlwin feasibilityandreadinesstoimplementrobsonclassificationtomonitorcaesareansectionsinpublichospitalsinmyanmarformativeresearch
AT maungthaemaung feasibilityandreadinesstoimplementrobsonclassificationtomonitorcaesareansectionsinpublichospitalsinmyanmarformativeresearch
AT phyoaungpyae feasibilityandreadinesstoimplementrobsonclassificationtomonitorcaesareansectionsinpublichospitalsinmyanmarformativeresearch
AT aungkyawthet feasibilityandreadinesstoimplementrobsonclassificationtomonitorcaesareansectionsinpublichospitalsinmyanmarformativeresearch
AT ngamjaruschetta feasibilityandreadinesstoimplementrobsonclassificationtomonitorcaesareansectionsinpublichospitalsinmyanmarformativeresearch
AT ayenyeinsu feasibilityandreadinesstoimplementrobsonclassificationtomonitorcaesareansectionsinpublichospitalsinmyanmarformativeresearch
AT tuncalpozge feasibilityandreadinesstoimplementrobsonclassificationtomonitorcaesareansectionsinpublichospitalsinmyanmarformativeresearch
AT betrananapilar feasibilityandreadinesstoimplementrobsonclassificationtomonitorcaesareansectionsinpublichospitalsinmyanmarformativeresearch
AT kusawkler feasibilityandreadinesstoimplementrobsonclassificationtomonitorcaesareansectionsinpublichospitalsinmyanmarformativeresearch
AT lumbiganonpisake feasibilityandreadinesstoimplementrobsonclassificationtomonitorcaesareansectionsinpublichospitalsinmyanmarformativeresearch
AT tinkhaingnwe feasibilityandreadinesstoimplementrobsonclassificationtomonitorcaesareansectionsinpublichospitalsinmyanmarformativeresearch
AT monnweoo feasibilityandreadinesstoimplementrobsonclassificationtomonitorcaesareansectionsinpublichospitalsinmyanmarformativeresearch
AT bohrenmeghana feasibilityandreadinesstoimplementrobsonclassificationtomonitorcaesareansectionsinpublichospitalsinmyanmarformativeresearch