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Growth Monitoring: A Survey of Current Practices of Primary Care Paediatricians in Europe
OBJECTIVE: We aimed to study current practices in growth monitoring by European primary care paediatricians and to explore their perceived needs in this field. METHODS: We developed a cross-sectional, anonymous on-line survey and contacted primary care paediatricians listed in national directories i...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3734305/ https://www.ncbi.nlm.nih.gov/pubmed/23940655 http://dx.doi.org/10.1371/journal.pone.0070871 |
Sumario: | OBJECTIVE: We aimed to study current practices in growth monitoring by European primary care paediatricians and to explore their perceived needs in this field. METHODS: We developed a cross-sectional, anonymous on-line survey and contacted primary care paediatricians listed in national directories in the 18 European countries with a confederation of primary care paediatricians. Paediatricians participated in the survey between April and September 2011. RESULTS: Of the 1,198 paediatricians from 11 European countries (response rate 13%) who participated, 29% used the 2006 World Health Organization Multicentre Growth Reference Study growth charts, 69% used national growth charts; 61% used software to draw growth charts and 79% did not use a formal algorithm to detect abnormal growth on growth charts. Among the 21% of paediatricians who used algorithms, many used non-algorithmic simple thresholds for height and weight and none used the algorithms published in the international literature. In all, 69% of paediatricians declared that a validated algorithm to monitor growth would be useful in daily practice. We found important between-country variations. CONCLUSION: The varied growth-monitoring practices declared by primary care paediatricians reveals the need for standardization and evidence-based algorithms to define abnormal growth and the development of software that would use such algorithms. |
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