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The Quality of Clinical Maternal and Neonatal Healthcare – A Strategy for Identifying ‘Routine Care Signal Functions’
BACKGROUND: A variety of clinical process indicators exists to measure the quality of care provided by maternal and neonatal health (MNH) programs. To allow comparison across MNH programs in low- and middle-income countries (LMICs), a core set of essential process indicators is needed. Although such...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4398438/ https://www.ncbi.nlm.nih.gov/pubmed/25875252 http://dx.doi.org/10.1371/journal.pone.0123968 |
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author | Brenner, Stephan De Allegri, Manuela Gabrysch, Sabine Chinkhumba, Jobiba Sarker, Malabika Muula, Adamson S. |
author_facet | Brenner, Stephan De Allegri, Manuela Gabrysch, Sabine Chinkhumba, Jobiba Sarker, Malabika Muula, Adamson S. |
author_sort | Brenner, Stephan |
collection | PubMed |
description | BACKGROUND: A variety of clinical process indicators exists to measure the quality of care provided by maternal and neonatal health (MNH) programs. To allow comparison across MNH programs in low- and middle-income countries (LMICs), a core set of essential process indicators is needed. Although such a core set is available for emergency obstetric care (EmOC), the ‘EmOC signal functions’, a similar approach is currently missing for MNH routine care evaluation. We describe a strategy for identifying core process indicators for routine care and illustrate their usefulness in a field example. METHODS: We first developed an indicator selection strategy by combining epidemiological and programmatic aspects relevant to MNH in LMICs. We then identified routine care process indicators meeting our selection criteria by reviewing existing quality of care assessment protocols. We grouped these indicators into three categories based on their main function in addressing risk factors of maternal or neonatal complications. We then tested this indicator set in a study assessing MNH quality of clinical care in 33 health facilities in Malawi. RESULTS: Our strategy identified 51 routine care processes: 23 related to initial patient risk assessment, 17 to risk monitoring, 11 to risk prevention. During the clinical performance assessment a total of 82 cases were observed. Birth attendants’ adherence to clinical standards was lowest in relation to risk monitoring processes. In relation to major complications, routine care processes addressing fetal and newborn distress were performed relatively consistently, but there were major gaps in the performance of routine care processes addressing bleeding, infection, and pre-eclampsia risks. CONCLUSION: The identified set of process indicators could identify major gaps in the quality of obstetric and neonatal care provided during the intra- and immediate postpartum period. We hope our suggested indicators for essential routine care processes will contribute to streamlining MNH program evaluations in LMICs. |
format | Online Article Text |
id | pubmed-4398438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-43984382015-04-21 The Quality of Clinical Maternal and Neonatal Healthcare – A Strategy for Identifying ‘Routine Care Signal Functions’ Brenner, Stephan De Allegri, Manuela Gabrysch, Sabine Chinkhumba, Jobiba Sarker, Malabika Muula, Adamson S. PLoS One Research Article BACKGROUND: A variety of clinical process indicators exists to measure the quality of care provided by maternal and neonatal health (MNH) programs. To allow comparison across MNH programs in low- and middle-income countries (LMICs), a core set of essential process indicators is needed. Although such a core set is available for emergency obstetric care (EmOC), the ‘EmOC signal functions’, a similar approach is currently missing for MNH routine care evaluation. We describe a strategy for identifying core process indicators for routine care and illustrate their usefulness in a field example. METHODS: We first developed an indicator selection strategy by combining epidemiological and programmatic aspects relevant to MNH in LMICs. We then identified routine care process indicators meeting our selection criteria by reviewing existing quality of care assessment protocols. We grouped these indicators into three categories based on their main function in addressing risk factors of maternal or neonatal complications. We then tested this indicator set in a study assessing MNH quality of clinical care in 33 health facilities in Malawi. RESULTS: Our strategy identified 51 routine care processes: 23 related to initial patient risk assessment, 17 to risk monitoring, 11 to risk prevention. During the clinical performance assessment a total of 82 cases were observed. Birth attendants’ adherence to clinical standards was lowest in relation to risk monitoring processes. In relation to major complications, routine care processes addressing fetal and newborn distress were performed relatively consistently, but there were major gaps in the performance of routine care processes addressing bleeding, infection, and pre-eclampsia risks. CONCLUSION: The identified set of process indicators could identify major gaps in the quality of obstetric and neonatal care provided during the intra- and immediate postpartum period. We hope our suggested indicators for essential routine care processes will contribute to streamlining MNH program evaluations in LMICs. Public Library of Science 2015-04-15 /pmc/articles/PMC4398438/ /pubmed/25875252 http://dx.doi.org/10.1371/journal.pone.0123968 Text en © 2015 Brenner et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Brenner, Stephan De Allegri, Manuela Gabrysch, Sabine Chinkhumba, Jobiba Sarker, Malabika Muula, Adamson S. The Quality of Clinical Maternal and Neonatal Healthcare – A Strategy for Identifying ‘Routine Care Signal Functions’ |
title | The Quality of Clinical Maternal and Neonatal Healthcare – A Strategy for Identifying ‘Routine Care Signal Functions’ |
title_full | The Quality of Clinical Maternal and Neonatal Healthcare – A Strategy for Identifying ‘Routine Care Signal Functions’ |
title_fullStr | The Quality of Clinical Maternal and Neonatal Healthcare – A Strategy for Identifying ‘Routine Care Signal Functions’ |
title_full_unstemmed | The Quality of Clinical Maternal and Neonatal Healthcare – A Strategy for Identifying ‘Routine Care Signal Functions’ |
title_short | The Quality of Clinical Maternal and Neonatal Healthcare – A Strategy for Identifying ‘Routine Care Signal Functions’ |
title_sort | quality of clinical maternal and neonatal healthcare – a strategy for identifying ‘routine care signal functions’ |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4398438/ https://www.ncbi.nlm.nih.gov/pubmed/25875252 http://dx.doi.org/10.1371/journal.pone.0123968 |
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