ABSTRACT
Neonatal mortality has been recognized as a global public health challenge and Nigeria has the highest prevalence in Africa. Malaria during pregnancy jeopardizes neonatal survival through placental parasitaemia, maternal anaemia, and low birth weight. This study investigated association between the malaria prevention in pregnancy and neonatal survival using a nationally representative data - Nigeria Demographic Health Survey 2013. Child recode data was used and the outcome variable was neonatal death. The main independent variables were the use of at least 2 doses of intermittent preventive treatment in pregnancy with sulfadoxine-pyrimethamine (IPT-SP) and proportion of pregnant women who reported Insecticide Treated Net (ITN) use the night before the survey. Data were analyzed using Pearson Chi-square (x2) test of association and survival analysis techniques. Total neonatal mortality rate was 38 per1000 live births. Cox proportional hazard model showed that low birth weight (HR 1.49, 95% CI (1.15 1.93 p=0.003) and adequate number of ANC visits (⥠4 visits) (HR 0.68, 95% CI (0.53 0.93) were associated with neonatal survival. The use of at least 2 doses of IPT-SP was not an independent factor for neonatal survival (HR 0.72, 95% CI (0.53 1.15). Malaria prevention in pregnancy is crucial for neonatal survival through the prevention of low birth weight
Subject(s)
Infant Mortality/statistics & numerical data , Malaria , Nigeria , PregnancyABSTRACT
Contiene: Dinámica y estructura de la población. Familias y hogares. Vivienda y saneamiento ambiental. Salud. Educación. Trabajo. Ingresos. Seguridad y asistencia social. Seguridad pública. Participación electoral. Tiempo libre
Subject(s)
Population Characteristics , Health Statistics , Vital Statistics , Morbidity/statistics & numerical data , Housing/statistics & numerical data , Work/statistics & numerical data , Sanitation , Public Assistance/statistics & numerical data , Education/statistics & numerical data , Mortality , Birth Rate , Infant Mortality/statistics & numerical data , Age Groups , /statistics & numerical data , Health Services CoverageABSTRACT
Contiene: Dinámica y estructura de la población. Familias y hogares. Vivienda y saneamiento ambiental. Salud. Educación. Trabajo. Ingresos. Seguridad y asistencia social. Seguridad pública. Participación electoral. Tiempo libre
Subject(s)
Population Characteristics , Health Statistics , Vital Statistics , Morbidity/statistics & numerical data , Housing/statistics & numerical data , Work/statistics & numerical data , Sanitation , Public Assistance/statistics & numerical data , Education/statistics & numerical data , Mortality , Birth Rate , Infant Mortality/statistics & numerical data , Age Groups , /statistics & numerical data , Health Services CoverageABSTRACT
Contiene: Dinámica y estructura de la población. Familias y hogares. Vivienda y saneamiento ambiental. Salud. Educación. Trabajo. Ingresos. Seguridad y asistencia social. Seguridad pública. Participación electoral. Tiempo libre
Subject(s)
Population Characteristics , Health Statistics , Vital Statistics , Morbidity/statistics & numerical data , Housing/statistics & numerical data , Work/statistics & numerical data , Sanitation , Public Assistance/statistics & numerical data , Education/statistics & numerical data , Mortality , Birth Rate , Infant Mortality/statistics & numerical data , Age Groups , /statistics & numerical data , Health Services CoverageSubject(s)
Mortality/statistics & numerical data , Social Class , Adolescent , Adult , Data Collection , Female , Humans , Infant , Infant Mortality/statistics & numerical data , Infant, Newborn , Male , Middle Aged , United KingdomABSTRACT
Death certificates of neonates were compared with detailed clinical and pathological information provided for a national neonatal mortality survey. The systematic method of assigning the cause of death to one of seven broad categories in the survey found complete agreement with the underlying cause of death on the death certificate in 83 per cent of cases (274/330). There was only a minor disagreement involving clinical opinion in a further 6.7 per cent (22). The reasons for disagreement in the remaining 10.3 per cent (34) were examined. In the majority of instances, 6.0 per cent (20), the fault lay with the certifying doctor who provided inadequate or inaccurate information on the death certificate or who, in providing all the information, appeared to be ignorant of coding rules. In 1.2 per cent (4) the fault lay with coding inaccuracies or misapplication of coding rules in failing to select the underlying cause in a correct sequence of clinical events. In the remaining 3.0 per cent (10) of cases the rules governing the survey did not follow the WHO coding rules.
