Neonatal near miss: a potentially useful approach to assess quality of newborn care

2010 ◽  
Vol 86 (1) ◽  
Author(s):  
Lale Say
Keyword(s):  
Newborn Care ◽  
Near Miss ◽  
Assess Quality ◽  
Neonatal Near Miss

scholarly journals Prevalence of neonatal near miss and associated factors in Nepal: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rajbanshi Sushma ◽  
Mohd Noor Norhayati ◽  
Nik Hussain Nik Hazlina
Keyword(s):  
Associated Factors ◽  
Newborn Infants ◽  
Newborn Care ◽  
Cross Sectional Study ◽  
Near Miss ◽  
Infant Mortality Rate ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Impact ◽  
Neonatal Near Miss

Abstract Background The rate of neonatal mortality has declined but lesser than the infant mortality rate and remains a major public health challenge in low- and middle-income countries. There is an urgent need to focus on newborn care, especially during the first 24 h after birth and the early neonatal period. Neonatal near miss (NNM) is an emerging concept similar to that of maternal near miss. NNM events occur three to eight times more often than neonatal deaths. The objective of this study was to establish the prevalence of NNM and identify its associated factors. Methods A hospital-based cross-sectional study was conducted in Koshi Hospital, Morang district, Nepal. Neonates and their mothers of unspecified maternal age and gestational age were enrolled. Key inclusion criteria were pragmatic and management markers of NNM and admission of newborn infants to the neonatal intensive care unit (NICU) in Koshi Hospital. Non-Nepali citizens were excluded. Consecutive sampling was used until the required sample size of 1,000 newborn infants was reached. Simple and multiple logistic regression was performed using SPSS® version 24.0. Results One thousand respondents were recruited. The prevalence of NNM was 79 per 1,000 live births. Severe maternal morbidity (adjusted odds ratio (aOR) 4.52; 95% confidence interval (CI) 2.07–9.84) and no formal education (aOR 2.16; 95% CI 1.12–4.14) had a positive association with NNM, while multiparity (aOR 0.52; 95% CI 0.32–0.86) and caesarean section (aOR 0.44; 95% CI 0.19–0.99) had negative associations with NNM. Conclusions Maternal characteristics and complications were associated with NNM. Healthcare providers should be aware of the impact of obstetric factors on newborn health and provide earlier interventions to pregnant women, thus increasing survival chances of newborns.

scholarly journals Neonatal Near Miss Cases of Different Health Facilities

2014 ◽  
Vol 34 (2) ◽  
pp. 115-118 ◽  
Author(s):  
Sunil Raja Manandhar ◽  
Dharma S Manandhar ◽  
Dhruba Adhikari ◽  
Jyoti Raj Shrestha ◽  
Chandra Rai ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Health Facility ◽  
Very Low Birth Weight ◽  
Birth Asphyxia ◽  
Newborn Care ◽  
Health Facilities ◽  
Near Miss ◽  
Research Activities ◽  
Neonatal Near Miss

Introduction: The near miss concept and the criterion-based clinical audit are proposed as useful approaches for obtaining such information in newborn health care. There is currently no Standard definition and criteria for neonatal near miss especially for the community level intervention. Thus, lifesaving interventions could be an entry point to initiate the development of the neonatal near-miss definition. Mother and Infants Research Activities and Health Right International (HRI) developed a new tool for assessing neonatal near miss cases based on the Community based newborn care package programme. This is a part of operational research programme on strengthening the health facilities of Electoral constituency No; 2 of Arghakhanchi district of Nepal. The objective of this study was to identify and analyze neonatal near miss cases at different health facilities of Electoral constituency No; 2 of Arghakhanchi district, Nepal.Materials and Methods: One day of training on identifying neonatal near miss cases was given by an expert at Arghakhanchi district hospital to the health facilities staff in two groups. Health facility staffs were trained on identifying neonatal near miss cases and completing the modified neonatal near miss case forms. Neonatal near miss cases were documented for nine months period.Results: There were a total of 28 cases of neonatal near miss reported from different health facilities. Among them, 90% babies were delivered at health facility and 72% babies were of normal birth weight. Low birth weight incidence is 21% among near miss cases. Neonatal near miss contributed possible severe bacterial infection/ severe infection 47%, birth asphyxia in 43% cases and very low birth weight 7%.Conclusions: Birth asphyxia and PSBI were the two most common causes of neonatal near miss in the health facilities of Arghakhanchi district. There is a need to improve the quality of neonatal care in health facilities to properly manage these neonatal near miss cases which were referred to higher centre.DOI: http://dx.doi.org/10.3126/jnps.v34i2.9880J Nepal Paediatr Soc 2014;34(2):115-118  

scholarly journals Neonatal near miss and the occurrence of negative outcomes in the first year of life: data from a national survey, Nascer no Brasil (Born in Brazil), 2011-2012

2020 ◽  
Vol 20 (3) ◽  
pp. 779-788
Author(s):  
Pauline Lorena Kale ◽  
Sandra Costa Fonseca ◽  
Silvana Granado Nogueira Gama
Keyword(s):  
National Survey ◽  
Neonatal Death ◽  
Near Miss ◽  
First Year ◽  
Negative Outcomes ◽  
Logistic Regression Models ◽  
First Year Of Life ◽  
Strength Of Association ◽  
Neonatal Near Miss

Abstract Objectives: estimate the strength of association between neonatal near miss and the nega-tive outcomes in the child’s first year of life. Methods: a prospective cohort study on neonatal survivors originating from a national survey “Nascer no Brasil (Born in Brazil), 2011-2012.” Main exposure: neonatal near miss (NNM). Negative outcomes: breastfeeding, hospitalization, and post neonatal death (tele-phone interview). For each outcome, the odds ratio (OR) were estimated by univariate (p<0.2) and multivariate (p<0.05) logistic regression models. Results: among 15,675 children 3.3% were neonatal near miss. Neonatal near miss was associated, after adjusting, to: weaning (OR=1.8); hospitalization after hospital discharge (OR=2.2); remained hospitalized (OR=65.6) and post neonatal death (OR=52.4) The increased OR after adjusting revealed negative confounding, such as “remained hospitalized since childbirth” (ORcrude=21.1 and ORadjusted=65.6). Conclusions: although neonatal near miss reflects a good quality of health care, avoiding neonatal death, these survivors have higher risk of negative outcomes in the first year of life.

scholarly journals Prevalence of neonatal near miss and associated factors in Nepal: a cross-sectional study

2021 ◽  
Author(s):  
Sushma Rajbanshi ◽  
Norhayati Mohd Noor ◽  
Nik Hazlina Nik Hussain
Keyword(s):  
Caesarean Section ◽  
Associated Factors ◽  
Newborn Infants ◽  
Newborn Care ◽  
Cross Sectional Study ◽  
Near Miss ◽  
Infant Mortality Rate ◽  
Sectional Study ◽  
Cross Sectional ◽  
Neonatal Near Miss

Abstract Background: Unlike the infant mortality rate, the rate of neonatal mortality has not significantly declined and remains a major health challenge in the low- and middle-income countries. There is an urgent need to focus on newborn care, especially during the first 24 hours after birth and the early neonatal period. Neonatal near miss (NNM) is an emerging concept similar to that of maternal near miss. NNM events occur three to eight times more often than neonatal deaths. The objective of this study was to establish the prevalence of NNM and identify its associated factors. Methods: A hospital-based cross-sectional study was conducted in Koshi Hospital, Morang district, Nepal. Neonates and their mothers of unspecified maternal age and number of gestational weeks were enrolled. The key inclusion criterion was the pragmatic and management markers of NNM, and admission of newborn infants to the neonatal intensive care unit (NICU) in Koshi Hospital. Non-Nepali citizens were excluded. Consecutive sampling was used until the required sample size of 1,000 newborn infants was reached. Simple and multiple logistic regression was performed using SPSS® version 24.0.Results: One thousand respondents were recruited. Prevalence of NNM was 79 per 1,000 live births. Severe maternal morbidity (adjusted odds ratio (aOR) 4.52; 95% confidence interval (CI): 2.07–9.84), no education (aOR 2.16; 95% CI 1.12–4.14), multiparity (aOR 0.52; 95% CI 0.32–0.86), and caesarean section (aOR 0.44: 95% CI 0.19–0.99) were associated with NNM. Conclusions: Prevalence of NNM in Nepal was 7.9%. Mothers’ obstetric factors, maternal complications and education were associated with NNM. Women in referral hospitals should have safer access to caesarean section and be prepared for NICU intervention to save mothers and their newborns.

Quality of life after maternal near miss: A systematic review

2021 ◽  
Author(s):  
Ida Erika Wieborg Von Rosen ◽  
Rayan Mohamud Shiekh ◽  
Bariki Mchome ◽  
Chunsen Wu ◽  
Khalid S. Khan ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Near Miss ◽  
Maternal Near Miss

scholarly journals Quality of Life and Associated Factors in Young Workers

2021 ◽  
Vol 18 (4) ◽  
pp. 2153
Author(s):  
José Andrade Louzado ◽  
Matheus Lopes Cortes ◽  
Márcio Galvão Oliveira ◽  
Vanessa Moraes Bezerra ◽  
Sóstenes Mistro ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Odds Ratio ◽  
Cross Sectional Study ◽  
Young Workers ◽  
Cross Sectional ◽  
Physically Active ◽  
Significance Level ◽  
Self Rated Health ◽  
Assess Quality

Background: This study aimed to identify the factors associated with the quality of life of young workers of a Social Work of Industry Unit. Methods: This was a cross-sectional study conducted on 1270 workers. Data were collected using a digital questionnaire built on the KoBoToolbox platform that included the EUROHIS-QOL eight-item index to assess quality of life. Demographic, socioeconomic, behavioral, and clinical variables were considered explanatory. The associations were analyzed using the ordinal logistic regression model at a 5% significance level. Results: Men and women had a mean quality of life of 31.1 and 29.4, respectively. Workers that rated their health as “very good” had an odds ratio of 7.4 (95% confidence interval (CI) = 5.17–10.81), and those who rated it as “good” had an odds ratio of 2.9 (95% CI = 2.31–3.77). Both these groups of workers were more likely to have higher levels of quality of life as compared to workers with “regular”, “poor”, or “very poor” self-rated health. Physically active individuals were 30% more likely to have higher levels of quality of life (odds ratio = 1.3; 95% CI = 1.08–1.65). After adjusting the model by gender, age group, marital status, socioeconomic class, self-rated health, nutritional status, and risky alcohol consumption, the odds ratio of active individuals remained stable (odds ratio = 1.3; 95% CI = 1.05–1.66). Conclusions: In the present study, self-rated health, physical activity, and gender were associated with young workers’ quality of life.

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