scholarly journals The Role of ICT in Reducing Maternal and Neonatal Mortality Rate in Tanzania

2014 ◽  
Vol 95 (13) ◽  
pp. 39-42 ◽  
Author(s):  
Ally S.Nyamawe ◽  
Hassan Seif
2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Homsiatur Rohmatin ◽  
Agustina Widayati

 Abstrak Program Perencanaan Persalinan dan Pencegahan Komplikasi (P4K) merupakan program pemerintah dalam penurunan angka kematian ibu dan bayi baru lahir. Angka kematian bayi (AKB) di Indonesia masih tinggi dimana Kabupaten Probolinggo merupakan salah satu penyumbang tertinggi. P4K merupakan tanggung jawab bidan, ibu hamil, suami, dan keluarga. Masih tingginya kematian neonatal di Kabupaten Probolinggo, diduga karena kurangnya peran aktif ibu, suami, dan keluarga dalam penerapan P4K. Penelitian ini bertujuan menganalisis pengaruh penerapan P4K terhadap kematian neonatal di Kabupaten Probolinggo. Rancang bangun penelitian adalah crossectional dengan populasi seluruh ibu yang mempunyai bayi lahir hidup atau mati (usia 0-28 hari) yang mendapatkan stiker P4K. Teknik sampling menggunakan accidental sampling. Sampel penelitian ini adalah sebagian ibu yang mempunyai bayi lahir hidup atau mati (usia 0-28 hari) yang mendapatkan stiker P4K. Pengumpulan data menggunakan kuesioner dan wawancara. Uunivariat, bivariat dan multivariat digunakan dalam menganalisis data. Hasil penelitian menginformasikan sebagian besar ibu, suami, dan keluarga kurang berperan aktif. Sehingga ada pengaruh penerapan P4K terhadap kematian neonatal. Untuk itu, diperlukan peran aktif kader posyandu dalam memotivasi dan mendampingi ibu, suami dan keluarga dalam penerapan P4K sebagai upaya menurunkan kematian neonatal.  Kata kunci  : P4K, kematian neonatal, stiker  Abstract           The Maternity and Complication Prevention Planning Program (P4K) is a government program in reducing maternal and newborn mortality. The infant mortality rate (IMR) in Indonesia is still high where Probolinggo District is one of the highest contributors. P4K is the responsibility of midwives, pregnant women, husbands and families. The high neonatal mortality rate in Probolinggo Regency is allegedly due to the lack of active role of mothers, husbands, and families in implementing P4K. This study aimed to analyze the effect of P4K application on neonatal mortality in Probolinggo District. The research design was cross-sectional with the population of all mothers who had live or dead babies (aged 0-28 days) who received P4K stickers. The sampling technique used accidental sampling. The sample of this study was that some mothers who have babies born alive or dead (age 0-28 days) who got P4K stickers. Data collection used questionnaires and interviews. Univariate, bivariate and multivariate were used to analyze the data. The results of the study informed that most mothers, husbands, and families were less active. Therefore, there was an effect of applying P4K to neonatal mortality. It is suggested for posyandu cadres to have an active role in motivating and assisting mothers, husbands and families in implementing P4K as an effort to reduce neonatal mortality.Keywords    : P4K, neonatal mortality, sticker


Geographies ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 47-62
Author(s):  
Ujjwal Das ◽  
Barkha Chaplot ◽  
Hazi Mohammad Azamathulla

Skilled birth attendance and institutional delivery have been advocated for reducing maternal, neonatal mortality and infant mortality (NMR and IMR). This paper examines the role of place of delivery with respect to neo-natal and infant mortality in India using four rounds of the Indian National Family Health Survey conducted in 2015–2016. The place of birth has been categorized as “at home” or “public and private institution.” The role of place of delivery on neo-natal and infant mortality was examined by using multivariate hazard regression models adjusted for clus-tering and relevant maternal, socio-economic, pregnancy and new-born characteristics. There were 141,028 deliveries recorded in public institutions and 54,338 in private institutions. The esti-mated neonatal mortality rate in public and private institutions during this period was 27 and 26 per 1000 live births respectively. The study shows that when the mother delivers child at home, the chances of neonatal mortality risks are higher than the mortality among children born at the health facility centers. Regression analysis also indicates that a professionally qualified provider′s antenatal treatment and assistance greatly decreases the risks of neonatal mortality. The results of the study illustrate the importance of the provision of institutional facilities and proper pregnancy in the prevention of neonatal and infant deaths. To improve the quality of care during and imme-diately after delivery in health facilities, particularly in public hospitals and in rural areas, accel-erated strengthening is required.


PEDIATRICS ◽  
1996 ◽  
Vol 97 (2) ◽  
pp. 215-215
Author(s):  
Student

Neonates who weighed > 1.5 kg at birth were the major contributors to the overall reduction in the neonatal mortality rate (NMR); approximately two thirds of total reduction in the NMR between 1960 and 1980 and 52.6% of the total reduction between 1980 and 1986 occurred in the > 1.5-kg birth weight groups.


2016 ◽  
Vol 127 ◽  
pp. 31S
Author(s):  
Horatio S. Falciglia ◽  
William K. Brady ◽  
Ronald Merkel ◽  
Vickie Glover ◽  
Angela N. Fellner

2004 ◽  
Vol 38 (6) ◽  
pp. 773-779 ◽  
Author(s):  
Valdinar S Ribeiro ◽  
Antônio A M Silva ◽  
Marco A Barbieri ◽  
Heloisa Bettiol ◽  
Vânia M F Aragão ◽  
...  

OBJECTIVE: To obtain population estimates and profile risk factors for infant mortality in two birth cohorts and compare them among cities of different regions in Brazil. METHODS: In Ribeirão Preto, southeast Brazil, infant mortality was determined in a third of hospital live births (2,846 singleton deliveries) in 1994. In São Luís, northeast Brazil, data were obtained using systematic sampling of births stratified by maternity unit (2,443 singleton deliveries) in 1997-1998. Mothers answered standardized questionnaires shortly after delivery and information on infant deaths was retrieved from hospitals, registries and the States Health Secretarys' Office. The relative risk (RR) was estimated by Poisson regression. RESULTS: In São Luís, the infant mortality rate was 26.6/1,000 live births, the neonatal mortality rate was 18.4/1,000 and the post-neonatal mortality rate was 8.2/1,000, all higher than those observed in Ribeirão Preto (16.9, 10.9 and 6.0 per 1,000, respectively). Adjusted analysis revealed that previous stillbirths (RR=3.67 vs 4.13) and maternal age <18 years (RR=2.62 vs 2.59) were risk factors for infant mortality in the two cities. Inadequate prenatal care (RR=2.00) and male sex (RR=1.79) were risk factors in São Luís only, and a dwelling with 5 or more residents was a protective factor (RR=0.53). In Ribeirão Preto, maternal smoking was associated with infant mortality (RR=2.64). CONCLUSIONS: In addition to socioeconomic inequalities, differences in access to and quality of medical care between cities had an impact on infant mortality rates.


Author(s):  
Fevi Novkaniza ◽  
Khairil Anwar Notodiputro ◽  
I Wayan Mangku ◽  
Kusman Sadik

This article is concerned with the density estimation of Neonatal Mortality Rate (NMR) in Central Java Province, Indonesia. Neonatal deaths contribute to 73% of infant deaths in Central Java Province. The number of neonatal deaths for 35 districts/municipalities in Central Java Province is considered as Poisson distributed surrogate with NMR as the rate of Poisson distribution. It is assumed that each number of neonatal deaths by district/municipality in Central Java Province were realizations of unobserved NMR, which come from unknown prior density. We applied the Empirical Bayes Deconvolution (EBD) method for estimating the unknown prior density of NMR based on Poisson distributed surrogate. We used secondary data from the Health Profiles of Central Java Province, Indonesia, in 2018. The density estimation of NMR by the EBD method showed that the resulting prior estimate is relatively close to the Gamma distribution based on Poisson surrogate. This is implying that the suitability of the obtained prior density estimation as a conjugate prior for Poisson distribution.


Author(s):  
Godwin Oligbu ◽  
Leila Ahmed ◽  
Laura Ferraras-Antolin ◽  
Shamez Ladhani

ObjectiveTo estimate the overall and infection-related neonatal mortality rate and the pathogens responsible using electronic death registrations.DesignRetrospective analysis of national electronic death registrations data.SettingEngland and Wales.PatientsNeonates aged <28 days.Main outcome measuresOverall and infection-related mortality rate per 1000 live births in term, preterm (28–36 weeks) and extremely preterm (<28 weeks) neonates; the contribution of infections and specific pathogens; comparison with mortality rates in 2003–2005.ResultsThe neonatal mortality rate during 2013–2015 (2.4/1000 live births; 5095 deaths) was 31% lower than in 2003–2005 (3.5/1000; 6700 deaths). Infection-related neonatal mortality rate in 2013–2015 (0.32/1000; n=669) was 20% lower compared with 2003–2015 (0.40/1000; n=768), respectively. Infections were responsible for 13.1% (669/5095) of neonatal deaths during 2013–2015 and 11.5% (768/6700) during 2003–2005. Of the infection-related deaths, 44.2% (296/669) were in term, 19.9% (133/669) preterm and 35.9% (240/669) extremely preterm neonates. Compared with term infants (0.15/1000 live births), infection-related mortality rate was 5.9-fold (95% CI 4.7 to 7.2) higher in preterm (0.90/1000) and 188-fold (95% CI 157 to 223) higher in extremely preterm infants (28.7/1000) during 2013–2015. A pathogen was recorded in 448 (67%) registrations: 400 (89.3%) were bacterial, 37 (8.3%) viral and 11 (2.4%) fungal. Group B streptococcus (GBS) was reported in 30.4% (49/161) of records that specified a bacterial infection and 7.3% (49/669) of infection-related deaths.ConclusionsOverall and infection-related neonatal mortality rates have declined, but the contribution of infection and of specific pathogens has not changed. Further preventive measures, including antenatal GBS vaccine may be required to prevent the single most common cause of infection-related deaths in neonates.


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