RESUMEN
BACKGROUND: Short birth intervals are known to have negative effects on pregnancy outcomes. We analysed data from a large population surveillance system in rural Bangladesh to identify predictors of short birth interval and determine consequences of short intervals on pregnancy outcomes. METHODS: The study was conducted in three districts of Bangladesh - Bogra, Moulavibazar and Faridpur (population 282,643, 54,668 women of reproductive age). We used data between January 2010 and June 2011 from a key informant surveillance system that recorded all births, deaths and stillbirths. Short birth interval was defined as an interval between consecutive births of less than 33 months. Initially, risk factors of a short birth interval were determined using a multivariate mixed effects logistic regression model. Independent risk factors were selected using a priori knowledge from literature review. An adjusted mixed effects logistic regression model was then used to determine the effect of up to 21-, 21-32-, 33-44- and 45-month and higher birth-to-birth intervals on pregnancy outcomes controlling for confounders selected through a directed acyclic graph. RESULTS: We analysed 5,571 second or higher order deliveries. Average birth interval was 55 months and 1368/5571 women (24.6%) had a short birth interval (<33 months). Younger women (AOR 1.11 95% CI 1.08-1.15 per year increase in age), women who started their reproductive life later (AOR 0.95, 0.92-0.98 per year) and those who achieve higher order parities were less likely to experience short birth intervals (AOR 0.28, 0.19-0.41 parity 4 compared to 1). Women who were socioeconomically disadvantaged were more likely to experience a short birth interval (AOR 1.42, 1.22-1.65) and a previous adverse outcome was an important determinant of interval (AOR 2.10, 1.83-2.40). Very short birth intervals of less than 21 months were associated with increased stillbirth rate (AOR 2.13, 95% CI 1.28-3.53) and neonatal mortality (AOR 2.28 95% CI 1.28-4.05). CONCLUSIONS: Birth spacing remains a reproductive health problem in Bangladesh. Disadvantaged women are more likely to experience short birth intervals and to have increased perinatal deaths. Research into causal pathways and strategies to improve spacing between pregnancies should be intensified.
Asunto(s)
Intervalo entre Nacimientos/estadística & datos numéricos , Mortalidad Perinatal , Vigilancia de la Población , Población Rural/estadística & datos numéricos , Mortinato/epidemiología , Adolescente , Adulto , Factores de Edad , Bangladesh/epidemiología , Estudios Transversales , Escolaridad , Femenino , Humanos , Lactante , Recién Nacido , Paridad , Embarazo , Religión , Conducta Reproductiva/estadística & datos numéricos , Características de la Residencia , Adulto JovenRESUMEN
OBJECTIVE: To analyze maternal deaths at Nkhoma Church of Central Africa Presbyterian (CCAP) Hospital and identify factors causing delays in care. METHODS: Maternal death audits are performed after every maternal death at Nkhoma CCAP Hospital. Information regarding the care provided at the health facility, the referral process, and any delays in the community was collected by an audit team using a structured approach. Data from August 2007 to September 2011 were analyzed retrospectively. RESULTS: In total, 61 maternal deaths occurred during the study period, of which 58 were analyzed. Most deaths were categorized as indirect (n=34 [58.6%]). Non-pregnancy-related infections were the leading cause of indirect death (n=22), with meningitis the most common (n=13). Most patients experienced a delay in seeking care (n=37 [63.8%]), a transport delay (n=43 [74.1%]), or a delay in receiving adequate care (n=34 [58.6%]). CONCLUSION: Most maternal deaths had indirect causes and were associated with delays in all phases. An audit makes clear which part of the referral chain needs to be strengthened. Nkhoma CCAP Hospital has taken steps to address all phases of delay.
Asunto(s)
Muerte Materna/etiología , Complicaciones Infecciosas del Embarazo/mortalidad , Complicaciones del Embarazo/mortalidad , Derivación y Consulta/estadística & datos numéricos , Adolescente , Adulto , Causas de Muerte , Femenino , Hospitales Rurales , Humanos , Malaui , Mortalidad Materna , Embarazo , Estudios Retrospectivos , Factores de Tiempo , Adulto JovenRESUMEN
BACKGROUND: Reliable estimates of hospitalization costs for severe respiratory syncytial virus (RSV) infection are necessary to perform economic analyses of preventive strategies of severe RSV disease. We aimed to develop a model that predicts anticipated mean RSV hospitalization costs of groups of young children at risk for hospitalization, but not yet hospitalized, based on readily available child characteristics. METHODS: We determined real direct medical costs of RSV hospitalization from a societal perspective, using a bottom-up strategy, in 3458 infants and young children hospitalized for severe RSV disease during the RSV seasons 1996-1997 to 1999-2000 in the Southwest of the Netherlands. We used a linear regression model to predict anticipated mean RSV hospitalization costs of groups of children at risk, based on 4 child characteristics [age, gestational age, birth weight and bronchopulmonary dysplasia (BPD)], expressed in EC Euros as of the year 2000. FINDINGS: The mean RSV hospitalization costs of all patients were 3110 Euros. RSV hospitalization costs were higher for patients with lower gestational age (5555 Euros; gestational age, =28 weeks), lower birth weight (3895 Euros; birth weight =2500 g), BPD (5785 Euros; with BPD) and young age (4730 Euros; first month of life). The linear regression model had an adjusted R of 0.08. This indicates a low explanatory ability for hospitalization costs of individual children. However, the model could accurately estimate the anticipated mean hospitalization costs of groups of children with the same characteristics. INTERPRETATION: RSV hospitalization costs were substantial, especially of specific high risk groups. Anticipated mean hospitalization costs of groups of children at risk for RSV hospitalization, but not yet hospitalized, could well be estimated with 4 child characteristics (age, gestational age, birth weight and BPD). These estimated costs can be used for economic analyses of preventive strategies for severe RSV disease.