scholarly journals Risk factors and mortality profile of post neonatal deaths; 1 month to 1 year, in a rural medical college hospital, South India

2021 ◽  
Author(s):  
Kuppan Balamurugan ◽  
Rajangam Ponprabha ◽  
Veeramani Sivashankari
Keyword(s):  
Risk Factors ◽  
Neonatal Mortality ◽  
Newborn Care ◽  
Treatment Modalities ◽  
Mortality Data ◽  
Primary Health Care System ◽  
Important Indicator ◽  
Neonatal Deaths ◽  
Medical College

Background: Infant mortality is the most important indicator which reflect country growth standards and development. This study was aimed to assess the risk factors and clinical profile of post neonatal deaths, admitted in PICU, government Villupuram medical college.Methods: A retrospective analysis was done on post neonatal mortality data by pediatric department of government Villupuram medical college, Mundiyambakkam from January 2019 to December 2020, referral and LAMA patients were excluded from study. Data was analyzed using SPSS 18.0Results: Overall post neonatal mortality was 7.3%. Mortality amongst boys were 28 (41.1%) and girls were 40 (58.8%). Mortality of female babies were higher than male babies.Among the 68 post neonatal deaths, maximum number of mortalities was seen in 1-3 months (61.9%), maximum within 24 hours of hospital stay (54.4%), 37 cases (54.4%) were referred from GHPHC and private practitioners of the nearby districts, 28 babies (41.1%) had previous admissions, 22 babies had SNCU admissions and 6 babies had pediatric admissions. Three most common causes of mortality were bronchopneumonia, sepsis and acute CNS infections. Congenital malformations and heart disease along with failure to thrive are other causes of morbidity.Conclusions: Analysis reflects the disease occurrence, treatment modalities and quality of treatment available. Treatment at primary level can prevent postnatal deaths from infections. The preventive and primary health care system should be strengthened. All special newborn care units (SNCU) discharged babies should have both community and district early intervention centre (DEIC) follow up, immunization practices, explaining danger signs to the parents, improving the quality of life has got great impact on the post neonatal outcome.

scholarly journals Assessment of neonatal mortalities and stillbirths data quality in Offinso North District of Ghana

2022 ◽  
Vol 10 (01) ◽  
pp. 508-518
Author(s):  
Richmond Nsiah ◽  
Wisdom Takramah ◽  
Solomon Anum-Doku ◽  
Richard Avagu ◽  
Dominic Nyarko
Keyword(s):  
Data Quality ◽  
Neonatal Mortality ◽  
Assessment Tool ◽  
Information Management System ◽  
Health Facilities ◽  
Primary Data ◽  
Mortality Data ◽  
Neonatal Deaths ◽  
Discrepancy Rate

Background: Stillbirths and neonatal deaths when poorly documented or collated, negatively affect the quality of decision and interventions. This study sought to assess the quality of routine neonatal mortalities and stillbirth records in health facilities and propose interventions to improve the data quality gaps. Method: Descriptive cross-sectional study was employed. This study was carried out at three (3) purposively selected health facilities in Offinso North district. Stillbirths and neonatal deaths recorded in registers from 2015 to 2017, were recounted and compared with monthly aggregated data and District Health Information Management System 2 (DHIMS 2) data using a self-developed Excel Data Quality Assessment Tool (DQS).  An observational checklist was used to collect primary data on completeness and availability. Accuracy ratio (verification factor), discrepancy rate, percentage availability and completeness of stillbirths and neonatal mortality data were computed using the DQS tool. Findings: The results showed high discrepancy rate of stillbirth data recorded in registers compared with monthly aggregated reports (12.5%), and monthly aggregated reports compared with DHIMS 2 (13.5%). Neonatal mortalities data were under-reported in monthly aggregated reports, but over-reported in DHIMS 2. Overall data completeness was about 84.6%, but only 68.5% of submitted reports were supervised by facility in-charges. Delivery and admission registers availability were 100% and 83.3% respectively. Conclusion: Quality of stillbirths and neonatal mortality data in the district is generally encouraging, but are not reliable for decision-making. Routine data quality audit is needed to reduce high discrepancies in stillbirth and neonatal mortality data in the district.

scholarly journals Geospatial analysis of determinants of neonatal mortality in Ghana

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Duah Dwomoh
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Neonatal Mortality ◽  
Neonatal Death ◽  
Reproductive Age ◽  
Multiple Births ◽  
Demographic And Health Surveys ◽  
Neonatal Deaths ◽  
The Impact

Abstract Background Ghana did not meet the Millennium Development Goal 4 of reducing child mortality by two-thirds and may not meet SDG (2030). There is a need to direct scarce resources to mitigate the impact of the most important risk factors influencing high neonatal deaths. This study applied both spatial and non-spatial regression models to explore the differential impact of environmental, maternal, and child associated risk factors on neonatal deaths in Ghana. Methods The study relied on data from the Ghana Demographic and Health Surveys (GDHS) and the Ghana Maternal Health Survey (GMHS) conducted between 1998 and 2017 among 49,908 women of reproductive age and 31,367 children under five (GDHS-1998 = 3298, GDHS-2003 = 3844, GDHS-2008 = 2992, GDHS-2014 = 5884, GMHS-2017 = 15,349). Spatial Autoregressive Models that account for spatial autocorrelation in the data at the cluster-level and non-spatial statistical models with appropriate sampling weight adjustment were used to study factors associated with neonatal deaths, and a p-value less than 0.05 was considered statistically significant. Results Population density, multiple births, smaller household sizes, high parity, and low birth weight significantly increased the risk of neonatal deaths over the years. Among mothers who had multiple births, the risk of having neonatal deaths was approximately four times as high as the risk of neonatal deaths among mothers who had only single birth [aRR = 3.42, 95% CI: 1.63–7.17, p < 0.05]. Neonates who were perceived by their mothers to be small were at a higher risk of neonatal death compared to very large neonates [aRR = 2.08, 95% CI: 1.19–3.63, p < 0.05]. A unit increase in the number of children born to a woman of reproductive age was associated with a 49% increased risk in neonatal deaths [aRR = 1.49, 95% CI: 1.30–1.69, p < 0.05]. Conclusion Neonatal mortality in Ghana remains relatively high, and the factors that predisposed children to neonatal death were birth size that were perceived to be small, low birth weight, higher parity, and multiple births. Improving pregnant women’s nutritional patterns and providing special support to women who have multiple deliveries will reduce neonatal mortality in Ghana.

scholarly journals A profile on the spectrum of neonatal mortality and morbidity pattern of extramural neonates in the Specialised Neonatal Care Unit (SNCU) in a tertiary care hospital

2018 ◽  
Vol 5 (2) ◽  
pp. 427 ◽  
Author(s):  
Anuradha D. ◽  
Rajesh Kumar S. ◽  
Aravind M. A. ◽  
Jayakumar M. ◽  
J. Ganesh J.
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Respiratory Distress ◽  
Neonatal Mortality ◽  
Low Birthweight ◽  
Tertiary Care ◽  
Birth Asphyxia ◽  
Newborn Care ◽  
Care Hospital ◽  
Neonatal Deaths

Background: Every year, nearly four million newborn babies die in the first month of life. India carries the single largest share (around 25-30%) of neonatal deaths in the world. Neonatal deaths constitute two thirds of infant deaths in India. 45% of the deaths occur within the first two days of life. It has been estimated that about 70% of neonatal deaths could be prevented if proven interventions are implemented effectively at the appropriate time. It was further estimated that health facility-based interventions can reduce neonatal mortality by 23-50% in different settings. Facility-based newborn care, thus, has a significant potential for improving the survival of newborns in India. This research has been planned with an aim to study the profile of pattern of admissions in a SNCU and their outcomes following admission and management in the unit.Methods: All babies referred for neonatal problems (less than 28 days) and admitted in NICU will be included. Both term and preterm babies will be considered. The criteria for admission includes various causes like low birth weight, preterm, birth asphyxia, respiratory distress, hyperbilirubinemia, congenital anomalies, risk factors (maternal, neonatal, prenatal), infections and outcome will be analysed.Results: Among the 2927 admissions term babies and boys outnumbered. The common causes for admission were birth asphyxia, respiratory distress, low birthweight and preterm. Most babies had an uncomplicated stay. The mortality in the extramural neonates was due to neonatal sepsis, extreme preterm and congenital malformations.Conclusions: Intensive and interventional management, along with good neonatal monitoring and care can reduce the mortality and improve the survival of low birth weight babies and other treatable problems. Thus, a combined effort of management by pediatricians, nursing care, neonatal intensive care unit can improve the survival rates of neonates.

MID-ARM CIRCUMFERENCE AT BIRTH AS PREDICTOR OF LOW BIRTH WEIGHT AND NEONATAL MORTALITY

2000 ◽  
Vol 32 (4) ◽  
pp. 487-493 ◽  
Author(s):  
FARID UDDIN AHMED ◽  
ENAMUL KARIM ◽  
SYEDA NURJAHAN BHUIYAN
Keyword(s):  
Developing Countries ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Neonatal Mortality ◽  
Neonatal Outcome ◽  
College Hospital ◽  
Medical Practitioners ◽  
Neonatal Deaths ◽  
Medical College ◽  
Arm Circumference

In Bangladesh, like other developing countries, most births occur at home or in the community, so logistic problems and taboos prevent the weighing of every newborn child. This study was performed to see whether other simpler measurements could be substituted for weight to identify neonates of low birth weight. A total of 1676 live births at the Chittagong Medical College Hospital constituted the study sample, and this showed a high correlation between mid-arm circumference and birth weight (r=0.792, p<0·000). A mid-arm circumference of <9·0 cm had the best sensitivity and specificity for identifying newborns with a birth weight of less than 2500 g. These neonates were followed up to record neonatal deaths. Neonatal mortality showed an inverse relation with mid-arm circumference. A mid-arm circumference of <9·0 cm and a birth weight of <2500 g were equally useful in predicting neonatal outcome. Mid-arm circumference is a simple, quick and reliable indicator for predicting low birth weight and neonatal outcome, and can be easily measured by medical practitioners and traditional birth attendants (TBAs) in the community of developing countries like Bangladesh.

scholarly journals Perinatal and newborn care in a two years retrospective study in a first level peripheral hospital in Sicily (Italy)

2019 ◽  
Vol 45 (1) ◽  
Author(s):  
Gregorio Serra ◽  
Vincenzo Miceli ◽  
Salvatore Albano ◽  
Giovanni Corsello
Keyword(s):  
Quality Of Care ◽  
Low Income ◽  
Mode Of Delivery ◽  
Newborn Care ◽  
Obstetric Complications ◽  
Neonatal Deaths ◽  
Peripheral Hospital ◽  
Vaginal Deliveries ◽  
Training Courses

Abstract Background Two hundred seventy-five thousand maternal deaths, 2.7 million neonatal deaths, and 2.6 million stillbirths have been estimated in 2015 worldwide, almost all in low-income countries (LICs). Moreover, more than 20 million severe disabilities result from the complications of pregnancy, childbirth or its management each year. A significant decrease of mortality/morbidity rates could be achieved by providing effective perinatal and newborn care also in high-income countries (HICs), especially in peripheral hospitals and/or rural areas, where the number of childbirths per year is often under the minimal threshold recognized by the reference legislation. We report on a 2 years retrospective cohort study, conducted in a first level peripheral hospital in Cefalù, a small city in Sicily (Italy), to evaluate care provided and mortality/morbidity rates. The proposed goal is to improve the quality of care, and the services that peripheral centers can offer. Methods We collected data from maternity and neonatal records, over a 2-year period from January 2017 to December 2018. The informations analyzed were related to demographic features (age, ethnicity/origin area, residence, educational level, marital status), diagnosis at admission (attendance of birth training courses, parity, type of pregnancy, gestational age, fetal presentation), mode of delivery, obstetric complications, the weight of the newborns, their feeding and eventual transfer to II level hospitals, also through the Neonatal Emergency Transport Service, if the established criteria were present. Results Eight hundred sixteen women were included (age 18–48 years). 179 (22%) attended birth training courses. 763 (93%) were Italian, 53 foreign (7%). 175 (21%) came from outside the province of Palermo. Eight hundred ten were single pregnancies, 6 bigeminal; 783 were at term (96%), 33 preterm (4%, GA 30–41 WG); 434 vaginal deliveries (53%), 382 caesarean sections (47%). One maternal death and 28 (3%) obstetric complications occurred during the study period. The total number of children born to these women was 822, 3 of which stillbirths (3.6‰). 787 (96%) were born at term (>37WG), 35 preterm (4%), 31 of which late preterm. Twenty-one newborns (2.5%) were transferred to II level hospitals. Among them, 3 for moderate/severe prematurity, 18 for mild prematurity/other pathology. The outcome was favorable for all women (except 1 hysterectomy) and the newborns transferred, and no neonatal deaths occurred in the biennium under investigation. Of the remaining 798 newborns, 440 were breastfed at discharge (55%), 337 had a mixed feeding (breastfed/formula fed, 42%) and 21 were formula fed (3%). Conclusions Although the minimal standard of adequate perinatal care in Italy is >500 childbirths/year, the aims of the Italian legislation concern the rationalization of birth centers as well as the structural, technological and organizational improvement of health facilities. Therefore, specific contexts and critical areas need to be identified and managed. Adequate resources and intervention strategies should be addressed not only to perinatal emergencies, but also to the management of mild prematurity/pathology, especially in vulnerable populations for social or orographic reasons. The increasing availability and spread of health care offers, even in HICs, cannot be separated from the goal of quality of care, which is an ethic and public health imperative.

scholarly journals Trends, patterns and cause-specific neonatal mortality in Tanzania: a hospital-based retrospective survey

2020 ◽  
Author(s):  
Chacha D Mangu ◽  
Susan F Rumisha ◽  
Emanuel P Lyimo ◽  
Irene R Mremi ◽  
Isolide S Massawe ◽  
...  
Keyword(s):  
Respiratory Distress ◽  
Neonatal Mortality ◽  
Neonatal Death ◽  
Birth Asphyxia ◽  
International Classification Of Diseases ◽  
Mortality Rates ◽  
Data Availability ◽  
Mortality Data ◽  
Neonatal Deaths ◽  
Over Time

Abstract Background Globally, large numbers of children die shortly after birth and many of them within the first 4 wk of life. This study aimed to determine the trends, patterns and causes of neonatal mortality in hospitals in Tanzania during 2006–2015. Methods This retrospective study involved 35 hospitals. Mortality data were extracted from inpatient registers, death registers and International Classification of Diseases-10 report forms. Annual specific hospital-based neonatal mortality rates were calculated and discussed. Two periods of 2006–2010 and 2011–2015 were assessed separately to account for data availability and interventions. Results A total of 235 689 deaths were recorded and neonatal deaths accounted for 11.3% (n=26 630) of the deaths. The majority of neonatal deaths (87.5%) occurred in the first week of life. Overall hospital-based neonatal mortality rates increased from 2.6 in 2006 to 10.4 deaths per 1000 live births in 2015, with the early neonates contributing 90% to this rate constantly over time. The neonatal mortality rate was 3.7/1000 during 2006–2010 and 10.4/1000 during 2011–2015, both periods indicating a stagnant trend in the years between. The leading causes of early neonatal death were birth asphyxia (22.3%) and respiratory distress (20.8%), while those of late neonatal death were sepsis (29.1%) and respiratory distress (20.0%). Conclusion The majority of neonatal deaths in Tanzania occur among the early newborns and the trend over time indicates a slow improvement. Most neonatal deaths are preventable, hence there are opportunities to reduce mortality rates with improvements in service delivery during the first 7 d and maternal care.

scholarly journals The effect of an mhealth clinical decision-making support system on neonatal mortality in Ghana

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
H B Amoakoh ◽  
K Klipstein-Grobusch ◽  
I A Agyepong ◽  
P Zuithoff ◽  
M Amoakoh-Coleman ◽  
...  
Keyword(s):  
Decision Making ◽  
Neonatal Mortality ◽  
Neonatal Death ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Mortality Data ◽  
Eastern Region ◽  
Intervention Period ◽  
Neonatal Deaths ◽  
Decision Making Support

Abstract Background Mhealth interventions promise to bridge gaps in clinical care but documentation of their effectiveness is limited. We evaluated the utilization and effect of an mhealth clinical decision-making support intervention that aimed to improve neonatal mortality in Ghana by providing access to emergency neonatal protocols for frontline health workers. Methods In the Eastern Region of Ghana, sixteen districts were randomized into two study arms (8 intervention and 8 control clusters) in a cluster-randomized controlled trial. Institutional neonatal mortality data were extracted from the District Health Information System-2 during an 18-month intervention period. We performed an intention-to-treat analysis and estimated the effect of the intervention on institutional neonatal mortality (primary outcome measure) using grouped binomial logistic regression with a random intercept per cluster. This trial is registered at ClinicalTrials.gov (NCT02468310). Results There were 65,831 institutional deliveries and 348 institutional neonatal deaths during the study period. Overall, 47·3% of deliveries and 56·9% of neonatal deaths occurred in the intervention arm. During the intervention period, neonatal deaths increased from 4·5 to 6·4 deaths and, from 3·9 to 4·3 deaths per 1,000 deliveries in the intervention arm and control arm respectively. The odds of neonatal death was non-significantly higher in the intervention arm compared to the control arm (odds ratio 2·10; 95% CI (0·77;5·77); p = 0·15). The correlation between the number of protocol requests and the number of deliveries per intervention cluster was 0·71 (p = 0·05). Conclusions Non-significant higher risk of neonatal death observed in intervention clusters may be due to problems with birth and death registration, unmeasured and unadjusted confounding, and unintended use of the intervention. The findings underpin the need for careful and rigorous evaluation of mhealth intervention implementation and effects. Key messages Supposedly effective interventions must be evaluated in context before they are scaled-up. Mechanisms influencing outcomes in context must be considered in the design and evaluation of interventions.

Cost-effectiveness of the Yashoda Programme

2017 ◽  
Vol 19 (2) ◽  
pp. 255-263 ◽  
Author(s):  
Somen Saha ◽  
Beena Varghese
Keyword(s):  
Cost Effectiveness ◽  
Incremental Cost ◽  
Neonatal Mortality ◽  
Intervention Group ◽  
Newborn Care ◽  
Additional Cost ◽  
Potential Cost ◽  
Neonatal Deaths ◽  
District Hospitals ◽  
Care Practices

Background: Under the Norway-India Partnership Initiative (NIPI), a pilot programme was launched in 2008 to improve the quality of institutional maternal and neonatal care through Yashodas or birth companions. Yashodas were placed at higher-level healthcare facilities across select districts of India to support mother and newborn. This article presents the additional cost of the Yashoda programme from a government perspective and models the potential cost-effectiveness of the Yashoda intervention in averting neonatal deaths. Methods: We estimated the additional costs of the Yashoda programme (2011–2012) using an activity-based costing approach from a provider perspective. Effectiveness measure was estimated as the difference in the average rate of receipt of counselling (for mothers who delivered at district hospitals) between intervention and comparison districts. The potential impact of the Yashoda programme on neonatal mortality was modelled from secondary data assuming a 30 per cent reduction in neonatal mortality among those who received counselling and practiced safe newborn care practices. Results: The additional cost of Yashoda intervention was US$26,350 per year or US$0.83 per live birth. Eighty-four per cent of mothers in the intervention group received essential postpartum newborn care counselling at the facility compared to 62 per cent of mothers in the comparison groups. Through potential change in newborn care practices, the Yashoda intervention was estimated to avert 45 neonatal deaths for a hypothetical cohort of 100,000 mothers who delivered at district hospitals. The incremental cost of the Yashoda intervention was US$1,832 per neonatal death averted or US$29 per life year saved (LYS). Sensitivity analysis showed the incremental cost per LYS of the Yashoda intervention varied between US$14 and US$59. Conclusion: This study concludes that the Yashoda intervention, when scaled up at high delivery load facilities, is a very cost-effective intervention to save newborn lives.

From single-case analysis of neonatal deaths toward a further reduction of the neonatal mortality rate

2018 ◽  
Vol 47 (1) ◽  
pp. 125-133 ◽  
Author(s):  
André Sander ◽  
Roland Wauer
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Language Processing ◽  
Single Case ◽  
Case Analysis ◽  
Infant Mortality Rate ◽  
Neonatal Mortality Rate ◽  
Neonatal Deaths ◽  
Key Indicator

Abstract Background The infant mortality rate (IMR), a key indicator of the quality of a healthcare system, has remained at approximately 3.5‰ for the past 10 years in Germany. Generic quality indicators (QIs), as used in Germany since 2010, greatly help in ensuring such a good value but do not seem to be able to further reduce the IMR. The neonatal mortality rate (NMR) contributes to 65–70% of the IMR. We therefore propose single-case analysis of neonatal deaths as an additional method and show an efficient way to implement this approach. Methods We used the Nordic-Baltic classification (NBC) to detect avoidable neonatal deaths. We applied this classification to a sample of 1968 neonatal death records, which represent over 90% of all neonatal deaths in East Berlin from 1973 to 1989. All cases were analyzed as to their preventability based on the complete perinatal and clinical data by a special commission of different experts. The NBC was automatically applied through natural language processing and an ontology-based terminology server. Results The NBC was used to select the group of cases that had a high potential of avoidance. The selected group represented 6.0% of all cases, and 60.4% of the cases within that group were judged avoidable or conditionally avoidable. The automatic detection of malformations showed an F1 score of 0.94. Conclusion The results show that our method can be applied automatically and is a powerful and highly specific tool for selecting potentially avoidable neonatal deaths and thus for supporting efficient single-case analysis.

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