Impact of parent-targeted eHealth educational interventions on infant procedural pain management: a systematic review
Notice bibliographique
Résumé
OBJECTIVE: The objective of this review was to determine whether electronic health (eHealth) educational interventions about infant procedural pain and pain management impact parental outcomes (eg, mental health, knowledge uptake), eHealth outcomes (eg, acceptance, use), and pain management outcomes (eg, parental involvement, infant pain response). INTRODUCTION: Pain in infants is a common concern for parents. Routine postpartum care for infants in early life requires them to endure painful procedures, such as immunizations, yet infants often receive little to no pain management. Parents are an essential component of effective pain management, although they may not be aware of the roles they play. Despite the increased number of eHealth resources available to educate parents about infant pain management, their impact has yet to be synthesized. INCLUSION CRITERIA: This review considered studies that evaluated eHealth educational interventions targeted at parents during pregnancy and up to 1 year postpartum. Interventions included, but were not limited to, mobile applications, web-based applications, websites, videos, interactive training, hands-on direct simulation, short message service (SMS), and desktop applications. Primary outcomes included parental outcomes (eg, stress or anxiety, self-efficacy, knowledge, attitudes), eHealth outcomes (eg, acceptance, use), and pain management outcomes (eg, parental involvement, infant pain response). Experimental, quasi-experimental, and observational study designs were included. METHODS: MEDLINE, CINAHL, PsycINFO, Embase, Scopus, Web of Science, and SciELO were searched for studies published in English up to June 14, 2021. Citation lists of relevant reviews and included studies were also searched for additional peer-reviewed articles. Two independent reviewers conducted critical appraisal using standardized tools from JBI, and data extraction, using a data extraction form designed by the authors. Statistical pooling of quantitative data was not possible due to heterogeneity; thus, the findings were reported narratively. RESULTS: A total of 4163 unique studies were screened, with 11 studies ultimately included for synthesis. Five articles were randomized controlled trials, 5 articles were analytical cross-sectional studies, and 1 article was quasi-experimental. Studies reported on 4 unique eHealth educational interventions, all of which used video format and primarily targeted the postnatal period. The findings for all primary outcomes were mixed but suggested either improvements in outcomes or no impact. The certainty of evidence was determined as low or very low across primary outcomes for reasons related to imprecision, risk of bias, and indirectness. CONCLUSIONS: Although heterogeneity of findings limited quantitative synthesis of data, this review suggests that short and engaging educational videos have the potential to positively impact parents' knowledge, confidence, and desire to be involved in procedural pain management for their children. Most of the interventions presented in this review describe evidence-based information about procedural pain management strategies that are known to be effective for infant populations. Thus, it is reasonable to assume that infant pain response should be lower when parents appropriately apply the strategies. However, the findings of this review were not able to confirm this assumption. More research is needed to evaluate the impact of parent-targeted pain management education on infant pain response. SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42020151569.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,005 | 0,003 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».