RESUMO
The South Asian site in the INTERGROWTH-21(st) Project was the city of Nagpur, in Maharashtra State, India, with approximately 4500 births per year among the target population with middle to high socio-economic status. These deliveries are mainly concentrated in 20 small private hospitals, most of which are in the city centre. The sample for the Newborn Cross-Sectional Study (NCSS) was drawn from ten of these hospitals, covering 76% of the target low-risk pregnant population. The Fetal Growth Longitudinal Study (FGLS) sample was recruited from the largest of these institutions, Ketkar Hospital, as well as several ancillary antenatal care clinics. Special activities to encourage participation and raise awareness of the study at this site included translating patient information leaflets into local languages and securing local media interest. Among the unique challenges of the Indian site was the coordination of the large number of hospitals involved in NCSS, a task that required careful planning and organisation by the field teams.
Assuntos
Desenvolvimento Infantil , Desenvolvimento Fetal , Gráficos de Crescimento , Recém-Nascido/crescimento & desenvolvimento , Estudos Multicêntricos como Assunto/métodos , Projetos de Pesquisa , Pesos e Medidas Corporais , Protocolos Clínicos , Estudos Transversais/métodos , Feminino , Humanos , Índia , Lactente , Recém-Nascido Prematuro/crescimento & desenvolvimento , Estudos Longitudinais/métodos , Seleção de Pacientes , Gravidez , Ultrassonografia Pré-NatalRESUMO
The INTERGROWTH-21(st) Project data management was structured incorporating both a centralised and decentralised system for the eight study centres, which all used the same database and standardised data collection instruments, manuals and processes. Each centre was responsible for the entry and validation of their country-specific data, which were entered onto a centralised system maintained by the Data Coordinating Unit in Oxford. A comprehensive data management system was designed to handle the very large volumes of data. It contained internal validations to prevent incorrect and inconsistent values being captured, and allowed online data entry by local Data Management Units, as well as real-time management of recruitment and data collection by the Data Coordinating Unit in Oxford. To maintain data integrity, only the Data Coordinating Unit in Oxford had access to all the eight centres' data, which were continually monitored. All queries identified were raised with the relevant local data manager for verification and correction, if necessary. The system automatically logged an audit trail of all updates to the database with the date and name of the person who made the changes. These rigorous processes ensured that the data collected in the INTERGROWTH-21(st) Project were of exceptionally high quality.
