scholarly journals Morbidade neonatal near miss na pesquisa Nascer no Brasil

2014 ◽  
Vol 30 (suppl 1) ◽  
pp. S182-S191 ◽  
Author(s):  
Antônio Augusto Moura da Silva ◽  
Álvaro Jorge Madeiro Leite ◽  
Zeni Carvalho Lamy ◽  
Maria Elisabeth Lopes Moreira ◽  
Ricardo Queiroz Gurgel ◽  
...  
Keyword(s):  
Near Miss ◽  
Neonatal Near Miss

Dados da pesquisa Nascer no Brasil, um estudo nacional de base hospitalar, incluindo 24.197 puérperas e seus recém-nascidos, de fevereiro de 2011 a julho de 2012, foram utilizados para construir um indicador de morbidade neonatal near miss. Foi utilizada amostragem por conglomerados em três estágios (hospitais, dias, mulheres), estratificada por macrorregião, tipo de município (capital ou interior) e tipo de financiamento hospitalar. Modelos de regressão logística foram utilizados para identificar as variáveis que poderiam predizer a mortalidade neonatal e compor o indicador neonatal near miss. Após serem testadas 19 variáveis, cinco foram escolhidas (peso ao nascer < 1.500g, Apgar no 5o minuto de vida < 7, uso de ventilação mecânica, idade gestacional < 32 semanas e relato de malformações congênitas). A taxa de morbidade neonatal near miss no inquérito Nascer no Brasil foi de 39,2 por mil nascidos vivos, três vezes e meia a taxa de mortalidade neonatal (11,1 por mil). O indicador de morbidade neonatal near miss foi capaz de identificar situações com alto risco de morte neonatal.

scholarly journals Associated factors with neonatal near miss in twin pregnancies in a public referral maternity unit in Brazil

2021 ◽  
Vol 22 (1) ◽  
pp. 12-21
Author(s):  
Fernanda Nogueira Barbosa Lopes ◽  
Ana Paula Mendes Gouveia ◽  
Ocília Maria Costa Carvalho ◽  
Antônio Brazil Viana Júnior ◽  
Álvaro Jorge Madeiro Leite ◽  
...  
Keyword(s):  
Associated Factors ◽  
Near Miss ◽  
Maternity Unit ◽  
Twin Pregnancies ◽  
Neonatal Near Miss

scholarly journals Delays in obstetric care increase the risk of neonatal near-miss morbidity events and death: a case-control study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ocilia Maria Costa Carvalho ◽  
Antônio Brazil Viana Junior ◽  
Matheus Costa Carvalho Augusto ◽  
Álvaro Jorge Madeiro Leite ◽  
Rivianny Arrais Nobre ◽  
...  
Keyword(s):  
Case Control Study ◽  
Obstetric Care ◽  
Case Control ◽  
Near Miss ◽  
Control Study ◽  
Neonatal Near Miss

Perinatal audit and a “neonatal near miss” model as a current form of care quality control in neonatology

2017 ◽  
Vol 2_2017 ◽  
pp. 17-22
Author(s):  
Bushtyrev V.A. Bushtyrev ◽  
Zubkov V.V. Zubkov ◽  
Kuznetsova N.B. Kuznetsova ◽  
Barinova V.V. Barinova ◽  
Keyword(s):  
Quality Control ◽  
Care Quality ◽  
Near Miss ◽  
Current Form ◽  
Perinatal Audit ◽  
A Current ◽  
Neonatal Near Miss

scholarly journals Characteristics of neonatal near miss in hospitals in Benin, Burkina Faso and Morocco in 2012-2013

2016 ◽  
Vol 21 (4) ◽  
pp. 535-545 ◽  
Author(s):  
Carine Ronsmans ◽  
Jenny A. Cresswell ◽  
Sourou Goufodji ◽  
Schadrac Agbla ◽  
Rasmané Ganaba ◽  
...  
Keyword(s):  
Burkina Faso ◽  
Near Miss ◽  
Neonatal Near Miss

scholarly journals The prevalence of neonatal near miss and associated factors in Nepal: A cross-sectional study

2020 ◽  
Author(s):  
Sushma Rajbanshi ◽  
Norhayati Mohd Noor ◽  
Nik Hazlina Nik Hussain
Keyword(s):  
Caesarean Section ◽  
Maternal Morbidity ◽  
Newborn Infants ◽  
Cross Sectional Study ◽  
Near Miss ◽  
Infant Mortality Rate ◽  
Severe Maternal Morbidity ◽  
Sectional Study ◽  
Cross Sectional ◽  
Neonatal Near Miss

Abstract Background: Unlike the infant mortality rate, the rate of neonatal mortality has not declined and remains a major health challenge in low- and middle-income countries. There is an urgent need to focus on newborn care, especially during the first 24 hours of birth and the early neonatal period. Determining which factors contribute to neonatal near miss (NNM) can be used to assess health care quality and identify factors capable of correction in the healthcare system to improve neonatal care. Thus, the objective of the current study was to establish the prevalence of NNM and identify its associated factors.Methods: A hospital-based cross-sectional study was conducted at Koshi Hospital, Nepal. Neonates and their mothers (unspecified maternal age and number of gestational weeks) were enrolled. The key inclusion criterion was the admission of newborn infants to the neonatal intensive care unit at Koshi Hospital. Non-Nepali citizens were excluded. Consecutive sampling was used until the required sample size (i.e., 1,000 newborn infants) was reached. Simple and multiple logistic regression analysis was performed using SPSS ® version 24.0.Results: One thousand respondents were recruited. The prevalence of NNM was 79 per 1,000 live births. Maternal secondary (adjusted odds ratio (AOR]: 0.46, 95% confidence interval (CI]: 0.24–0.88) and tertiary education (AOR: 0.18, 95% CI: 0.05–0.56), multiparity (AOR: 0.52, 95% CI: 0.39–0.86), Caesarean section (AOR: 0.48, 95% CI: 0.19–0.99), and severe maternal morbidity (AOR: 4.51, 95% CI: 2.07–9.84) were significantly associated with NNM.Conclusions: Parity, severe maternal morbidity, mode of delivery, and maternal education were significantly associated with NNM. Healthcare workers should be aware of the impact of obstetric factors so that earlier interventions, especially the Caesarean section, can be exercised.

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