Cargando…
Informatics Methodology Used in the Web-Based Portal of the NASCITA Cohort Study: Development and Implementation Study
BACKGROUND: Many diseases occurring in adults can be pinned down to early childhood and birth cohorts are the optimal means to study this connection. Birth cohorts have contributed to the understanding of many diseases and their risk factors. OBJECTIVE: To improve the knowledge of the health status...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998320/ https://www.ncbi.nlm.nih.gov/pubmed/33709930 http://dx.doi.org/10.2196/23087 |
_version_ | 1783670525224026112 |
---|---|
author | Zanetti, Michele Clavenna, Antonio Pandolfini, Chiara Pansieri, Claudia Calati, Maria Grazia Cartabia, Massimo Miglio, Daniela Bonati, Maurizio |
author_facet | Zanetti, Michele Clavenna, Antonio Pandolfini, Chiara Pansieri, Claudia Calati, Maria Grazia Cartabia, Massimo Miglio, Daniela Bonati, Maurizio |
author_sort | Zanetti, Michele |
collection | PubMed |
description | BACKGROUND: Many diseases occurring in adults can be pinned down to early childhood and birth cohorts are the optimal means to study this connection. Birth cohorts have contributed to the understanding of many diseases and their risk factors. OBJECTIVE: To improve the knowledge of the health status of Italian children early on and how it is affected by social and health determinants, we set up a longitudinal, prospective, national-level, population-based birth cohort, the NASCITA study (NAscere e creSCere in ITAlia). The main aim of this cohort is to evaluate physical, cognitive, and psychological development; health status; and health resource use in the first 6 years of life in newborns, and potential associated factors. A web-based system was set up with the aim to host the cohort; provide ongoing information to pediatricians and to families; and facilitate accurate data input, monitoring, and analysis. This article describes the informatics methodology used to set up and maintain the NASCITA cohort with its web-based platform, and provides a general description of the data on children aged over 7 months. METHODS: Family pediatricians were contacted for participation in the cohort and enrolled newborns from April 2019 to July 2020 at their first well-child visit. Information collected included basic data that are part of those routinely collected by the family pediatricians, but also parental data, such as medical history, characteristics and lifestyle, and indoor and outdoor environment. A specific web portal for the NASCITA cohort study was developed and an electronic case report form for data input was created and tested. Interactive data charts, including growth curves, are being made available to pediatricians with their patients’ data. Newsletters covering the current biomedical literature on child cohorts are periodically being put up for pediatricians, and, for parents, evidence-based information on common illnesses and problems in children. RESULTS: The entire cohort population consists of 5166 children, with 139 participating pediatricians, distributed throughout Italy. The number of children enrolled per pediatrician ranged from 1 to 100. The 5166 enrolled children represent 66.55% (5166/7763) of the children born in all of 2018 covered by the same pediatricians participating in the cohort. The number of children aged over 7 months at the time of these analyses, and for whom the most complete data were available upon initial analyses, was 4386 (2226/4381 males [50.81%] and 142/4370 twins [3.25%]). The age of the mothers at birth of the 4386 children ranged from 16 to 54 years. Most newborns’ mothers (3758/4367, 86.05%) were born in Italy, followed by mothers born in Romania (101/4367, 2.31%), Albania (75/4367, 1.72%), and Morocco (60/4367, 1.37%). Concerning the newborns, 138/4386 (3.15%) were born with malformations and 352/4386 (8.03%) had a disease, most commonly neonatal respiratory distress syndrome (n=52), neonatal jaundice (n=46), and neonatal hypoglycemia (n=45). CONCLUSIONS: The NASCITA cohort is well underway and the population size will permit significant conclusions to be drawn. The key role of pediatricians in obtaining clinical data directly, along with the national-level representativity, will make the findings even more solid. In addition to promoting accurate data input, the multiple functions of the web portal, with its interactive platform, help maintain a solid relationship with the pediatricians and keep parents informed and interested in participating. TRIAL REGISTRATION: ClinicalTrials.gov NCT03894566; https://clinicaltrials.gov/ct2/show/NCT03894566 |
format | Online Article Text |
id | pubmed-7998320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-79983202021-04-01 Informatics Methodology Used in the Web-Based Portal of the NASCITA Cohort Study: Development and Implementation Study Zanetti, Michele Clavenna, Antonio Pandolfini, Chiara Pansieri, Claudia Calati, Maria Grazia Cartabia, Massimo Miglio, Daniela Bonati, Maurizio J Med Internet Res Original Paper BACKGROUND: Many diseases occurring in adults can be pinned down to early childhood and birth cohorts are the optimal means to study this connection. Birth cohorts have contributed to the understanding of many diseases and their risk factors. OBJECTIVE: To improve the knowledge of the health status of Italian children early on and how it is affected by social and health determinants, we set up a longitudinal, prospective, national-level, population-based birth cohort, the NASCITA study (NAscere e creSCere in ITAlia). The main aim of this cohort is to evaluate physical, cognitive, and psychological development; health status; and health resource use in the first 6 years of life in newborns, and potential associated factors. A web-based system was set up with the aim to host the cohort; provide ongoing information to pediatricians and to families; and facilitate accurate data input, monitoring, and analysis. This article describes the informatics methodology used to set up and maintain the NASCITA cohort with its web-based platform, and provides a general description of the data on children aged over 7 months. METHODS: Family pediatricians were contacted for participation in the cohort and enrolled newborns from April 2019 to July 2020 at their first well-child visit. Information collected included basic data that are part of those routinely collected by the family pediatricians, but also parental data, such as medical history, characteristics and lifestyle, and indoor and outdoor environment. A specific web portal for the NASCITA cohort study was developed and an electronic case report form for data input was created and tested. Interactive data charts, including growth curves, are being made available to pediatricians with their patients’ data. Newsletters covering the current biomedical literature on child cohorts are periodically being put up for pediatricians, and, for parents, evidence-based information on common illnesses and problems in children. RESULTS: The entire cohort population consists of 5166 children, with 139 participating pediatricians, distributed throughout Italy. The number of children enrolled per pediatrician ranged from 1 to 100. The 5166 enrolled children represent 66.55% (5166/7763) of the children born in all of 2018 covered by the same pediatricians participating in the cohort. The number of children aged over 7 months at the time of these analyses, and for whom the most complete data were available upon initial analyses, was 4386 (2226/4381 males [50.81%] and 142/4370 twins [3.25%]). The age of the mothers at birth of the 4386 children ranged from 16 to 54 years. Most newborns’ mothers (3758/4367, 86.05%) were born in Italy, followed by mothers born in Romania (101/4367, 2.31%), Albania (75/4367, 1.72%), and Morocco (60/4367, 1.37%). Concerning the newborns, 138/4386 (3.15%) were born with malformations and 352/4386 (8.03%) had a disease, most commonly neonatal respiratory distress syndrome (n=52), neonatal jaundice (n=46), and neonatal hypoglycemia (n=45). CONCLUSIONS: The NASCITA cohort is well underway and the population size will permit significant conclusions to be drawn. The key role of pediatricians in obtaining clinical data directly, along with the national-level representativity, will make the findings even more solid. In addition to promoting accurate data input, the multiple functions of the web portal, with its interactive platform, help maintain a solid relationship with the pediatricians and keep parents informed and interested in participating. TRIAL REGISTRATION: ClinicalTrials.gov NCT03894566; https://clinicaltrials.gov/ct2/show/NCT03894566 JMIR Publications 2021-03-12 /pmc/articles/PMC7998320/ /pubmed/33709930 http://dx.doi.org/10.2196/23087 Text en ©Michele Zanetti, Antonio Clavenna, Chiara Pandolfini, Claudia Pansieri, Maria Grazia Calati, Massimo Cartabia, Daniela Miglio, Maurizio Bonati. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.03.2021. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Zanetti, Michele Clavenna, Antonio Pandolfini, Chiara Pansieri, Claudia Calati, Maria Grazia Cartabia, Massimo Miglio, Daniela Bonati, Maurizio Informatics Methodology Used in the Web-Based Portal of the NASCITA Cohort Study: Development and Implementation Study |
title | Informatics Methodology Used in the Web-Based Portal of the NASCITA Cohort Study: Development and Implementation Study |
title_full | Informatics Methodology Used in the Web-Based Portal of the NASCITA Cohort Study: Development and Implementation Study |
title_fullStr | Informatics Methodology Used in the Web-Based Portal of the NASCITA Cohort Study: Development and Implementation Study |
title_full_unstemmed | Informatics Methodology Used in the Web-Based Portal of the NASCITA Cohort Study: Development and Implementation Study |
title_short | Informatics Methodology Used in the Web-Based Portal of the NASCITA Cohort Study: Development and Implementation Study |
title_sort | informatics methodology used in the web-based portal of the nascita cohort study: development and implementation study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998320/ https://www.ncbi.nlm.nih.gov/pubmed/33709930 http://dx.doi.org/10.2196/23087 |
work_keys_str_mv | AT zanettimichele informaticsmethodologyusedinthewebbasedportalofthenascitacohortstudydevelopmentandimplementationstudy AT clavennaantonio informaticsmethodologyusedinthewebbasedportalofthenascitacohortstudydevelopmentandimplementationstudy AT pandolfinichiara informaticsmethodologyusedinthewebbasedportalofthenascitacohortstudydevelopmentandimplementationstudy AT pansiericlaudia informaticsmethodologyusedinthewebbasedportalofthenascitacohortstudydevelopmentandimplementationstudy AT calatimariagrazia informaticsmethodologyusedinthewebbasedportalofthenascitacohortstudydevelopmentandimplementationstudy AT cartabiamassimo informaticsmethodologyusedinthewebbasedportalofthenascitacohortstudydevelopmentandimplementationstudy AT migliodaniela informaticsmethodologyusedinthewebbasedportalofthenascitacohortstudydevelopmentandimplementationstudy AT bonatimaurizio informaticsmethodologyusedinthewebbasedportalofthenascitacohortstudydevelopmentandimplementationstudy |