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dc.contributor.authorBrenner, Stephan
dc.contributor.authorAllegri, Manuela De
dc.contributor.authorGabrysch, Sabine
dc.contributor.authorChinkhumba, Jobiba
dc.contributor.authorSarker, Malabika
dc.contributor.authorMuula, Adamson S.
dc.date.accessioned2016-05-05T16:13:13Z
dc.date.available2016-05-05T16:13:13Z
dc.date.copyright2015
dc.date.issued2015-04-15
dc.identifier.citationBrenner S, De Allegri M, Gabrysch S, Chinkhumba J, Sarker M, Muula AS (2015) The Quality of Clinical Maternal and Neonatal Healthcare – A Strategy for Identifying ‘Routine Care Signal Functions’. PLoS ONE 10(4): e0123968. doi:10.1371/ journal.pone.0123968en_US
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/10361/5236
dc.descriptionIncludes bibliographical references (page 16-19).
dc.description.abstractBackground 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.en_US
dc.description.statementofresponsibilityStephan Brenner
dc.description.statementofresponsibilityManuela De Allegri
dc.description.statementofresponsibilitySabine Gabrysch
dc.description.statementofresponsibilityJobiba Chinkhumba
dc.description.statementofresponsibilityMalabika Sarker
dc.description.statementofresponsibilityAdamson S. Muula
dc.format.extent19 pages
dc.language.isoenen_US
dc.publisherPlos Oneen_US
dc.rightsBRAC University Journals are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.titleThe quality of clinical maternal and neonatal healthcare – a strategy for identifying ‘routine care signal functions’en_US
dc.typeArticleen_US
dc.contributor.departmentJames P Grant School of Public Health, BRAC University


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