Cargando…
Perinatal Health Statistics as the Basis for Perinatal Quality Assessment in Croatia
Context. Perinatal mortality indicators are considered the most important measures of perinatal outcome. The indicators reliability depends on births and deaths reporting and recording. Many publications focus on perinatal deaths underreporting and misclassification, disabling proper international c...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4677023/ https://www.ncbi.nlm.nih.gov/pubmed/26693484 http://dx.doi.org/10.1155/2015/537318 |
_version_ | 1782405271617798144 |
---|---|
author | Rodin, Urelija Filipović-Grčić, Boris Đelmiš, Josip Glivetić, Tatjana Juras, Josip Mustapić, Željka Grizelj, Ruža |
author_facet | Rodin, Urelija Filipović-Grčić, Boris Đelmiš, Josip Glivetić, Tatjana Juras, Josip Mustapić, Željka Grizelj, Ruža |
author_sort | Rodin, Urelija |
collection | PubMed |
description | Context. Perinatal mortality indicators are considered the most important measures of perinatal outcome. The indicators reliability depends on births and deaths reporting and recording. Many publications focus on perinatal deaths underreporting and misclassification, disabling proper international comparisons. Objective. Description of perinatal health care quality assessment key indicators in Croatia. Methods. Retrospective review of reports from all maternities from 2001 to 2014. Results. According to reporting criteria for birth weight ≥500 g, perinatal mortality (PNM) was reduced by 31%, fetal mortality (FM) by 32%, and early neonatal mortality (ENM) by 29%. According to reporting criteria for ≥1000 g, PNM was reduced by 43%, FM by 36%, and ENM by 54%. PNM in ≥22 weeks' (wks) gestational age (GA) was reduced by 28%, FM by 30%, and ENM by 26%. The proportion of FM at 32–36 wks GA and at term was the highest between all GA subgroups, as opposed to ENM with the highest proportion in 22–27 wks GA. Through the period, the maternal mortality ratio varied from 2.4 to 14.3/100,000 live births. The process indicators have been increased in number by more than half since 2001, the caesarean deliveries from 11.9% in 2001 to 19.6% in 2014. Conclusions. The comprehensive perinatal health monitoring represents the basis for the perinatal quality assessment. |
format | Online Article Text |
id | pubmed-4677023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-46770232015-12-21 Perinatal Health Statistics as the Basis for Perinatal Quality Assessment in Croatia Rodin, Urelija Filipović-Grčić, Boris Đelmiš, Josip Glivetić, Tatjana Juras, Josip Mustapić, Željka Grizelj, Ruža Biomed Res Int Review Article Context. Perinatal mortality indicators are considered the most important measures of perinatal outcome. The indicators reliability depends on births and deaths reporting and recording. Many publications focus on perinatal deaths underreporting and misclassification, disabling proper international comparisons. Objective. Description of perinatal health care quality assessment key indicators in Croatia. Methods. Retrospective review of reports from all maternities from 2001 to 2014. Results. According to reporting criteria for birth weight ≥500 g, perinatal mortality (PNM) was reduced by 31%, fetal mortality (FM) by 32%, and early neonatal mortality (ENM) by 29%. According to reporting criteria for ≥1000 g, PNM was reduced by 43%, FM by 36%, and ENM by 54%. PNM in ≥22 weeks' (wks) gestational age (GA) was reduced by 28%, FM by 30%, and ENM by 26%. The proportion of FM at 32–36 wks GA and at term was the highest between all GA subgroups, as opposed to ENM with the highest proportion in 22–27 wks GA. Through the period, the maternal mortality ratio varied from 2.4 to 14.3/100,000 live births. The process indicators have been increased in number by more than half since 2001, the caesarean deliveries from 11.9% in 2001 to 19.6% in 2014. Conclusions. The comprehensive perinatal health monitoring represents the basis for the perinatal quality assessment. Hindawi Publishing Corporation 2015 2015-11-29 /pmc/articles/PMC4677023/ /pubmed/26693484 http://dx.doi.org/10.1155/2015/537318 Text en Copyright © 2015 Urelija Rodin et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Rodin, Urelija Filipović-Grčić, Boris Đelmiš, Josip Glivetić, Tatjana Juras, Josip Mustapić, Željka Grizelj, Ruža Perinatal Health Statistics as the Basis for Perinatal Quality Assessment in Croatia |
title | Perinatal Health Statistics as the Basis for Perinatal Quality Assessment in Croatia |
title_full | Perinatal Health Statistics as the Basis for Perinatal Quality Assessment in Croatia |
title_fullStr | Perinatal Health Statistics as the Basis for Perinatal Quality Assessment in Croatia |
title_full_unstemmed | Perinatal Health Statistics as the Basis for Perinatal Quality Assessment in Croatia |
title_short | Perinatal Health Statistics as the Basis for Perinatal Quality Assessment in Croatia |
title_sort | perinatal health statistics as the basis for perinatal quality assessment in croatia |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4677023/ https://www.ncbi.nlm.nih.gov/pubmed/26693484 http://dx.doi.org/10.1155/2015/537318 |
work_keys_str_mv | AT rodinurelija perinatalhealthstatisticsasthebasisforperinatalqualityassessmentincroatia AT filipovicgrcicboris perinatalhealthstatisticsasthebasisforperinatalqualityassessmentincroatia AT đelmisjosip perinatalhealthstatisticsasthebasisforperinatalqualityassessmentincroatia AT glivetictatjana perinatalhealthstatisticsasthebasisforperinatalqualityassessmentincroatia AT jurasjosip perinatalhealthstatisticsasthebasisforperinatalqualityassessmentincroatia AT mustapiczeljka perinatalhealthstatisticsasthebasisforperinatalqualityassessmentincroatia AT grizeljruza perinatalhealthstatisticsasthebasisforperinatalqualityassessmentincroatia |