Priority target conditions for algorithms for monitoring children's growth: Interdisciplinary consensus.

BACKGROUND:Growth monitoring of apparently healthy children aims at early detection of serious conditions through the use of both clinical expertise and algorithms that define abnormal growth. Optimization of growth monitoring requires standardization of the definition of abnormal growth, and the se...

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Main Authors: Pauline Scherdel, Rachel Reynaud, Christine Pietrement, Jean-François Salaün, Marc Bellaïche, Michel Arnould, Bertrand Chevallier, Hugues Piloquet, Emmanuel Jobez, Jacques Cheymol, Emmanuelle Bichara, EBGM III study group, Barbara Heude, Martin Chalumeau
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5407643?pdf=render
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author Pauline Scherdel
Rachel Reynaud
Christine Pietrement
Jean-François Salaün
Marc Bellaïche
Michel Arnould
Bertrand Chevallier
Hugues Piloquet
Emmanuel Jobez
Jacques Cheymol
Emmanuelle Bichara
EBGM III study group
Barbara Heude
Martin Chalumeau
author_facet Pauline Scherdel
Rachel Reynaud
Christine Pietrement
Jean-François Salaün
Marc Bellaïche
Michel Arnould
Bertrand Chevallier
Hugues Piloquet
Emmanuel Jobez
Jacques Cheymol
Emmanuelle Bichara
EBGM III study group
Barbara Heude
Martin Chalumeau
author_sort Pauline Scherdel
collection DOAJ
description BACKGROUND:Growth monitoring of apparently healthy children aims at early detection of serious conditions through the use of both clinical expertise and algorithms that define abnormal growth. Optimization of growth monitoring requires standardization of the definition of abnormal growth, and the selection of the priority target conditions is a prerequisite of such standardization. OBJECTIVE:To obtain a consensus about the priority target conditions for algorithms monitoring children's growth. METHODS:We applied a formal consensus method with a modified version of the RAND/UCLA method, based on three phases (preparatory, literature review, and rating), with the participation of expert advisory groups from the relevant professional medical societies (ranging from primary care providers to hospital subspecialists) as well as parent associations. We asked experts in the pilot (n = 11), reading (n = 8) and rating (n = 60) groups to complete the list of diagnostic classification of the European Society for Paediatric Endocrinology and then to select the conditions meeting the four predefined criteria of an ideal type of priority target condition. RESULTS:Strong agreement was obtained for the 8 conditions selected by the experts among the 133 possible: celiac disease, Crohn disease, craniopharyngioma, juvenile nephronophthisis, Turner syndrome, growth hormone deficiency with pituitary stalk interruption syndrome, infantile cystinosis, and hypothalamic-optochiasmatic astrocytoma (in decreasing order of agreement). CONCLUSION:This national consensus can be used to evaluate the algorithms currently suggested for growth monitoring. The method used for this national consensus could be re-used to obtain an international consensus.
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spelling doaj.art-2085dc78c6074538a6429b4582214b232022-12-21T23:19:06ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01124e017646410.1371/journal.pone.0176464Priority target conditions for algorithms for monitoring children's growth: Interdisciplinary consensus.Pauline ScherdelRachel ReynaudChristine PietrementJean-François SalaünMarc BellaïcheMichel ArnouldBertrand ChevallierHugues PiloquetEmmanuel JobezJacques CheymolEmmanuelle BicharaEBGM III study groupBarbara HeudeMartin ChalumeauBACKGROUND:Growth monitoring of apparently healthy children aims at early detection of serious conditions through the use of both clinical expertise and algorithms that define abnormal growth. Optimization of growth monitoring requires standardization of the definition of abnormal growth, and the selection of the priority target conditions is a prerequisite of such standardization. OBJECTIVE:To obtain a consensus about the priority target conditions for algorithms monitoring children's growth. METHODS:We applied a formal consensus method with a modified version of the RAND/UCLA method, based on three phases (preparatory, literature review, and rating), with the participation of expert advisory groups from the relevant professional medical societies (ranging from primary care providers to hospital subspecialists) as well as parent associations. We asked experts in the pilot (n = 11), reading (n = 8) and rating (n = 60) groups to complete the list of diagnostic classification of the European Society for Paediatric Endocrinology and then to select the conditions meeting the four predefined criteria of an ideal type of priority target condition. RESULTS:Strong agreement was obtained for the 8 conditions selected by the experts among the 133 possible: celiac disease, Crohn disease, craniopharyngioma, juvenile nephronophthisis, Turner syndrome, growth hormone deficiency with pituitary stalk interruption syndrome, infantile cystinosis, and hypothalamic-optochiasmatic astrocytoma (in decreasing order of agreement). CONCLUSION:This national consensus can be used to evaluate the algorithms currently suggested for growth monitoring. The method used for this national consensus could be re-used to obtain an international consensus.http://europepmc.org/articles/PMC5407643?pdf=render
spellingShingle Pauline Scherdel
Rachel Reynaud
Christine Pietrement
Jean-François Salaün
Marc Bellaïche
Michel Arnould
Bertrand Chevallier
Hugues Piloquet
Emmanuel Jobez
Jacques Cheymol
Emmanuelle Bichara
EBGM III study group
Barbara Heude
Martin Chalumeau
Priority target conditions for algorithms for monitoring children's growth: Interdisciplinary consensus.
PLoS ONE
title Priority target conditions for algorithms for monitoring children's growth: Interdisciplinary consensus.
title_full Priority target conditions for algorithms for monitoring children's growth: Interdisciplinary consensus.
title_fullStr Priority target conditions for algorithms for monitoring children's growth: Interdisciplinary consensus.
title_full_unstemmed Priority target conditions for algorithms for monitoring children's growth: Interdisciplinary consensus.
title_short Priority target conditions for algorithms for monitoring children's growth: Interdisciplinary consensus.
title_sort priority target conditions for algorithms for monitoring children s growth interdisciplinary consensus
url http://europepmc.org/articles/PMC5407643?pdf=render
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