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Enregistrement W2096873175 · doi:10.1542/peds.2009-1884

NIDCAP: New Controversial Evidence for Its Effectiveness

2009· review· en· W2096873175 sur OpenAlexaff
Arne Ohlsson

Notice bibliographique

RevuePEDIATRICS · 2009
Typereview
Langueen
DomaineMedicine
ThématiqueInfant Development and Preterm Care
Établissements canadiensMount Sinai HospitalUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineBlindingPsychological interventionRandomizationRandomized controlled trialPopulationIntervention (counseling)PediatricsPhysical therapyPsychiatryInternal medicine

Résumé

récupéré en direct d'OpenAlex

In the early 1980s, Als conceptualized the “synactive” theory of child development and established the Newborn Individualized Developmental Care and Assessment Program (NIDCAP).1,2 This program requires trained caregivers to observe neonatal behaviors before, during, and after caregiving interventions and provide recommendations for care by staff and parents. These recommendations are often generalized to include reductions in noise and light levels, aids to promote flexion and self-regulation, clustering of care, and parental involvement.Authors who have performed meta-analyses regarding NIDCAP have concluded that the evidence to support NIDCAP as a framework within which to provide developmental care to improve medical and developmental outcomes is inconclusive.3–6 Incorporating in meta-analyses the results from the trials reported in this issue of Pediatrics by Maguire et al7 and Peters et al,8 which add 288 infants to the 285 infants previously enrolled in NIDCAP trials,9–15 will provide more precise effect-size estimates, as would meta-regression to adjust for differences in baseline characteristics between study groups.6Maguire et al conclude that NIDCAP is ineffective for outcomes to term, whereas Peters et al state that NIDCAP significantly improves short-term and long-term outcomes. Are there any obvious differences in methodology, study population, intervention, or reporting to explain the differences?In both studies, the randomization sequence was computer generated and allocation to study groups was concealed. Without explanation, Peters et al label the trial as cluster randomized with statistical analyses adjusted accordingly. After allocation, blinding cannot be achieved for outcome assessments in NIDCAP trials that include follow-up examinations, because parents might volunteer group assignment.Were the stated primary outcomes in the publications set a priori or based on results? The Peters et al study was entered in a trials registry in 2007, and the Maguire et al study was entered in 2005; both studies completed recruitment in 2004. In the many previously published abstracts by the Peters et al group, the objectives have included to assess the impact of NIDCAP-based care in very low birth weight infants on length of stay, ventilation days, and chronic lung disease; sedative drug use; sepsis; and neurodevelopmental outcomes.16–19 Maguire et al previously published results regarding parental experiences, parental stress, child behavior, and quality of life in the first year after NIDCAP, with no important differences between the 2 groups noted.20–22Maguire et al based the sample size, and presumably the primary outcome, on Bayley scores at 1 and 2 years of age, whereas Peters et al based sample size on length of stay. Infants in the Maguire et al study would now be older than 2 years, but results of Bayley tests are not presented. In the Peters et al study, the Mental and Psychomotor Developmental Indices at 18 months were not statistically significantly different between the groups (mean difference: 5.60 [95% confidence interval (CI): −1.49 to 12.70] and 3.95 [95% CI: −2.78 to 10.69], respectively). Length of stay depends on postmenstrual age (PMA) and weight at birth, which often favored the NIDCAP group in previous randomized, controlled trials.9–12 A more appropriate outcome is PMA at discharge. Meta-analysis of data from 4 trials7,10,12,13 results in a nonsignificant weighted mean difference in PMA at discharge of −0.50 weeks (95% CI: −1.14 to 0.14).Most intracranial pathology occurs in the first 48 to 72 hours of life23 before the intervention was introduced in either study. Infants were randomly assigned within 48 hours of birth in the Maguire et al study but at a mean age of 4.1 days in the Peters et al study.In the Maguire et al study the intervention consisted of weekly behavioral observations of the infants by a trained, certified NIDCAP developmental specialist, with the first observations and care plans within 48 hours of birth. In the Peters et al study the observations were performed approximately every 2 weeks. In both studies the control group received incubator covers and positioning. Both studies allowed infants to be transferred to step-down units. The intervention does not seem to be more intense in the study by Peters et al.Important baseline characteristics such as PMA and weight at birth were similar in the 2 study groups in the Maguire et al study (difference in means: 0.1 week and 11 g) but favored the NIDCAP group in the Peters et al study (difference in medians: 1 week and 45 g). Adjustments for multiple comparisons would reduce the number of significant outcomes.In summary, because both studies were small, differences in results could be a result of chance or baseline characteristics that favored the NIDCAP group in the Peters et al study. Other sources of bias might be present, because trials that are not double-blinded yield larger effect estimates.24 Before additional research of NIDCAP is initiated, consideration should be given to reports that many NIDCAP behaviors are rarely or never seen among preterm infants, that only a few are associated with stressful/painful interventions, and that clustering of care can result in important behavioral and autonomic reactions.25–27 Any innovative, developmentally sensitive intervention should start at birth in the resuscitation room, where neonates are exposed to excessive noise and light levels and painful/stressful stimuli to body parts (mouth, nose, throat, larynx, and hands) represented by large areas in the sensory cortex.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,966
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,117
Tête enseignante GPT0,404
Écart entre enseignants0,287 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

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

En bref

Citations30
Publié2009
Routes d'admission1
Résumé présentoui

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