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Enregistrement W279224040 · doi:10.1093/pch/19.9.e119

A survey of birthweight percentile curves used in hospitals across Ontario

2014· article· en· W279224040 sur OpenAlexaffabout
Emily Bartsch, Marilyn Booth, Alison L. Park, Joel G. Ray

Notice bibliographique

RevuePaediatrics & Child Health · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueNeonatal Respiratory Health Research
Établissements canadiensUniversity of TorontoSt. Michael's HospitalInstitute for Clinical Evaluative SciencesWestern University
Organismes subventionnairesnon disponible
Mots-clésPercentileStatisticsMedicinePediatricsMathematics

Résumé

récupéré en direct d'OpenAlex

This study was supported by a grant from the Canadian Institutes of Health Research. Dr Ray holds a Canadian Institutes of Health Research Chair in Reproductive and Child Health Services and Policy Research. No funding bodies had any role in the study design, data collection, analysis, decision to publish or preparation of the manuscript. The practice of weighing newborns enables the distinction between healthy weight babies and those who are either small for gestational age (SGA) or large for gestational age (LGA). Because SGA and LGA newborns experience greater morbidity and mortality, such categorization potentially influences clinical care and the expectations of the child’s parents (1). There is evidence that, relative to non-SGA infants, those classified as SGA have significantly longer stays in neonatal intensive care units, extended use of continuous positive airway pressure ventilation, and more use of supplemental oxygen (2). In other words, correctly classifying an infant as SGA or LGA, or neither, is important. Birthweight percentile curves (or ‘charts’) are the classic method to visually determine whether a newborn is SGA, LGA, or of appropriate weight for gestational age and sex; however, it is not clear whether newborn centres use the same type of chart. Therefore, we surveyed all hospitals in Ontario that provide newborn care to determine which newborn percentile curve they use in their centre. In 2013, a survey was e-mailed to all 99 hospitals in Ontario that perform inpatient obstetrical deliveries or inpatient neonatal care. Managers/directors of newborn nurseries and neonatal intensive care units were asked to provide the name(s) of the newborn birth-weight percentile chart(s) they use, as well as a mailed or e-mailed copy of the chart(s). A second request was e-mailed to nonresponders three months later. All hospital identifiers were removed after the survey results had been entered into a spreadsheet (Excel, Microsoft Corporation, USA). A total of 85 hospitals responded to the survey, corresponding to a survey response rate of 85.9% (Figure 1). Birthweight percentile curves used by 85 Ontario hospitals that provide newborn care. Data presented as a proportion (95% CI) and number of all respondent hospitals that use a particular curve. The dark grey column reflects the 48 hospitals (56.5%) that do not use a curve, and the light grey columns reflect the centres that reported using a specific curve. *The sum of the percentage of hospitals is slightly more than 100% because seven centres reported using two birthweight curves. CDC Centers for Disease Control and Prevention; CPEG Canadian Pediatric Endocrine Group; IHDP Infant Health and Development Program A total of 48 hospitals (56.5% [95% CI 45.9% to 66.5%]) reported not using any type of birthweight curve. Some reasons for nonuse were the low number of annual births, the absence of a nursery or that it was a level I facility. The remaining 37 centres reported using a birthweight curve, including seven centres that used two different curves (Figure 1) (3–9). The Fenton Fetal-Infant Growth Chart for Preterm Infants (3) was the most common birthweight curve used (20 centres [23.5%]; 95% CI 15.7% to 33.6%). Although births in Ontario comprise 37% of all births in Canada (10), birthweight percentile curves are underused in this province. Lacking an objective measure of an infant's birthweight percentile not only overlooks its potential SGA or LGA status, but also the inherent health consequences of being SGA or LGA and the need for growth monitoring thereafter (1). We also found there to be high variability in the birthweight curves used in Ontario. In the present study, 48 hospitals reported not using any curve, which is concerning because many of these facilities contribute to the care of many newborns in Ontario. To be clinically useful, a curve must reflect the current population of newborns; thus, because newborn weight percentile values have increased in Canada over time (11), some curves may be outdated. In addition, birthweight curves must be derived from a sample size large enough to sufficiently represent the population to which they will be applied. Finally, given that Canada's population is ethnically diverse and that nearly 35% of infants are born to immigrant women, a potential need for ethnic-specific curves has been expressed, although this is a topic of ongoing debate (12,13). Some of the curves used by survey respondents are potentially unsuitable for assessing newborn weight. The Centers for Disease Control and Prevention (CDC; Atlanta, USA) charts, for example, were developed using outdated data that did not include direct birth-weight measurements (6). Therefore, all hospitals that deliver babies and/or provide newborn care should use an endorsed birth-weight curve. We are part of a national team of clinical and policy experts whose goal is to ensure that standardized birthweight curves are used across Ontario and Canada (http://webapps.cihr-irsc.gc.ca/cris/detail_e?pResearchId=4508543&p_version=CRIS&p_language=E&p_session_id=1333597). The results of the current study inform our team about the need to disseminate standardized birthweight curves to all newborn units and providers in Ontario. This will be performed in partnership with Ontario's Provincial Council for Maternal and Child Health and affiliated groups. In future studies, our partners in other Canadian provinces should determine whether the pattern of use of newborn birthweight percentile charts is similar to that in Ontario.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,103
Score d'incertitude au seuil0,208

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,008
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,005
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,036
Tête enseignante GPT0,364
Écart entre enseignants0,328 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2014
Routes d'admission2
Résumé présentoui

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