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Neonatal near-misses in Ghana: a prospective, observational, multi-center study

BACKGROUND: For every newborn who dies within the first month, as many as eight more suffer life-threatening complications but survive (termed ‘neonatal near-misses’ (NNM)). However, there is no universally agreed-upon definition or assessment tool for NNM. This study sought to describe the developm...

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Autores principales: Bakari, Ashura, Bell, April J., Oppong, Samuel A., Bockarie, Yemah, Wobil, Priscilla, Plange-Rhule, Gyikua, Goka, Bamenla Q., Engmann, Cyril M., Adanu, Richard M., Moyer, Cheryl A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927122/
https://www.ncbi.nlm.nih.gov/pubmed/31870340
http://dx.doi.org/10.1186/s12887-019-1883-y
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author Bakari, Ashura
Bell, April J.
Oppong, Samuel A.
Bockarie, Yemah
Wobil, Priscilla
Plange-Rhule, Gyikua
Goka, Bamenla Q.
Engmann, Cyril M.
Adanu, Richard M.
Moyer, Cheryl A.
author_facet Bakari, Ashura
Bell, April J.
Oppong, Samuel A.
Bockarie, Yemah
Wobil, Priscilla
Plange-Rhule, Gyikua
Goka, Bamenla Q.
Engmann, Cyril M.
Adanu, Richard M.
Moyer, Cheryl A.
author_sort Bakari, Ashura
collection PubMed
description BACKGROUND: For every newborn who dies within the first month, as many as eight more suffer life-threatening complications but survive (termed ‘neonatal near-misses’ (NNM)). However, there is no universally agreed-upon definition or assessment tool for NNM. This study sought to describe the development of the Neonatal Near-Miss Assessment Tool (NNMAT) for low-resource settings, as well as findings when implemented in Ghana. METHODS: This prospective, observational study was conducted at two tertiary care hospitals in southern Ghana from April – July 2015. Newborns with evidence of complications and those admitted to the NICUs were screened for inclusion using the NNMAT. Incidence of suspected NNM at enrollment and confirmed near-miss (surviving to 28 days) was determined and compared against institutional neonatal mortality rates. Suspected NNM cases were compared with newborns not classified as a suspected near-miss, and all were followed to 28 days to determine odds of survival. Confirmed near-misses were those identified as suspected near-misses at enrollment who survived to 28 days. The main outcome measures were incidence of NNM, NNM:mortality ratio, and factors associated with NNM classification. RESULTS: Out of 394 newborns with complications, 341 (86.5%) were initially classified as suspected near-misses at enrollment using the NNMAT, with 53 (13.4%) being classified as a non-near-miss. At 28-day follow-up, 68 (17%) had died, 52 (13%) were classified as a non-near-miss, and 274 were considered confirmed near-misses. Those newborns with complications who were classified as suspected near-misses using the NNMAT at enrollment had 12 times the odds of dying before 28 days than those classified as non-near-misses. While most confirmed near-misses qualified as NNM via intervention-based criteria, nearly two-thirds qualified based on two or more of the four NNMAT categories. When disaggregated, the most predictive elements of the NNMAT were gestational age < 33 weeks, neurologic dysfunction, respiratory dysfunction, and hemoglobin < 10 gd/dl. The ratio of near-misses to deaths was 0.55: 1, yet this varied across the study sites. CONCLUSIONS: This research suggests that the NNMAT is an effective tool for assessing neonatal near-misses in low-resource settings. We believe this approach has significant systems-level, continuous quality improvement, clinical and policy-level implications.
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spelling pubmed-69271222019-12-30 Neonatal near-misses in Ghana: a prospective, observational, multi-center study Bakari, Ashura Bell, April J. Oppong, Samuel A. Bockarie, Yemah Wobil, Priscilla Plange-Rhule, Gyikua Goka, Bamenla Q. Engmann, Cyril M. Adanu, Richard M. Moyer, Cheryl A. BMC Pediatr Research Article BACKGROUND: For every newborn who dies within the first month, as many as eight more suffer life-threatening complications but survive (termed ‘neonatal near-misses’ (NNM)). However, there is no universally agreed-upon definition or assessment tool for NNM. This study sought to describe the development of the Neonatal Near-Miss Assessment Tool (NNMAT) for low-resource settings, as well as findings when implemented in Ghana. METHODS: This prospective, observational study was conducted at two tertiary care hospitals in southern Ghana from April – July 2015. Newborns with evidence of complications and those admitted to the NICUs were screened for inclusion using the NNMAT. Incidence of suspected NNM at enrollment and confirmed near-miss (surviving to 28 days) was determined and compared against institutional neonatal mortality rates. Suspected NNM cases were compared with newborns not classified as a suspected near-miss, and all were followed to 28 days to determine odds of survival. Confirmed near-misses were those identified as suspected near-misses at enrollment who survived to 28 days. The main outcome measures were incidence of NNM, NNM:mortality ratio, and factors associated with NNM classification. RESULTS: Out of 394 newborns with complications, 341 (86.5%) were initially classified as suspected near-misses at enrollment using the NNMAT, with 53 (13.4%) being classified as a non-near-miss. At 28-day follow-up, 68 (17%) had died, 52 (13%) were classified as a non-near-miss, and 274 were considered confirmed near-misses. Those newborns with complications who were classified as suspected near-misses using the NNMAT at enrollment had 12 times the odds of dying before 28 days than those classified as non-near-misses. While most confirmed near-misses qualified as NNM via intervention-based criteria, nearly two-thirds qualified based on two or more of the four NNMAT categories. When disaggregated, the most predictive elements of the NNMAT were gestational age < 33 weeks, neurologic dysfunction, respiratory dysfunction, and hemoglobin < 10 gd/dl. The ratio of near-misses to deaths was 0.55: 1, yet this varied across the study sites. CONCLUSIONS: This research suggests that the NNMAT is an effective tool for assessing neonatal near-misses in low-resource settings. We believe this approach has significant systems-level, continuous quality improvement, clinical and policy-level implications. BioMed Central 2019-12-23 /pmc/articles/PMC6927122/ /pubmed/31870340 http://dx.doi.org/10.1186/s12887-019-1883-y Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Bakari, Ashura
Bell, April J.
Oppong, Samuel A.
Bockarie, Yemah
Wobil, Priscilla
Plange-Rhule, Gyikua
Goka, Bamenla Q.
Engmann, Cyril M.
Adanu, Richard M.
Moyer, Cheryl A.
Neonatal near-misses in Ghana: a prospective, observational, multi-center study
title Neonatal near-misses in Ghana: a prospective, observational, multi-center study
title_full Neonatal near-misses in Ghana: a prospective, observational, multi-center study
title_fullStr Neonatal near-misses in Ghana: a prospective, observational, multi-center study
title_full_unstemmed Neonatal near-misses in Ghana: a prospective, observational, multi-center study
title_short Neonatal near-misses in Ghana: a prospective, observational, multi-center study
title_sort neonatal near-misses in ghana: a prospective, observational, multi-center study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927122/
https://www.ncbi.nlm.nih.gov/pubmed/31870340
http://dx.doi.org/10.1186/s12887-019-1883-y
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