Interventions for promoting participation in shared decision-making for children with cancer
Notice bibliographique
Résumé
BACKGROUND: Children's rights to have their views heard in matters that affect their lives are now well established since the publication of the UN Convention treaty (1989). Children with cancer generally prefer to be involved in decision-making and consider it important that they have the opportunity to take part in decision-making concerning their health care, even in end-of-life decisions. There is considerable support for involving children in healthcare decision-making at a level commensurate with their experience, age and abilities. Thus healthcare professionals and parents need to know how they should involve children in decision-making and what interventions are most effective in promoting shared decision-making (SDM) for children with cancer. OBJECTIVES: To examine the effects of SDM interventions on the process of SDM for children with cancer who are aged four to 18 years. SEARCH METHODS: We searched the following sources: Cochrane Central Register of Controlled Trials (CENTRAL), The Cochrane Library, Issue 9, 2012); PubMed (1946 to September 2012); EMBASE (1974 to September 2012); CINAHL (1982 to September 2012); PsycINFO (1806 to September 2012); BIOSIS (1980 to December 2009 - subscription ceased at that date); ERIC (1966 to September 2012); ProQuest Dissertations and Theses (1637 to September 2012); and Sociological Abstracts (1952 to September 2012). We searched for information about trials not registered in these resources, either published or unpublished, by searching the reference lists of relevant articles and review articles and the following conference proceedings (2005-2012):American Academy on Communication in Healthcare (AACH), European Society for Medical Oncology (ESMO), European Cancer Conference (ECCO), European Association for Communication in Healthcare (EACH), International Conference on Communication in Healthcare (ICCH), International Shared Decision Making Conference (ISDM 2005-2011 as held every two years), Annual Conference of the International Society for Paediatric Oncology (SIOP) and Annual Scientific Meeting of the Society for Medical Decision Making (SMDM).We searched the International Scientific and Technical Proceedings database (2005 to September 2012). We also searched Dissertation Abstracts (from 1980 to September 2012).We scanned the ISRCTN (International Standard Randomized Controlled Trial Number) register and the National Institute of Health (NIH) Register for ongoing trials at: www.controlled-trials.com and clinicaltrials.gov on the 1 October 2012. We contacted authors for further details. We also contacted experts in this field.We did not impose language restrictions. SELECTION CRITERIA: Randomised controlled trials (RCTs) of SDM interventions for children with cancer aged four to 18 years. The types of decisions included were: treatment, health care, and research participation decisions. The primary outcome was SDM as measured with any validated scale. DATA COLLECTION AND ANALYSIS: Two review authors undertook the searches, and three review authors independently assessed the studies obtained. We contacted study authors for additional information. MAIN RESULTS: No studies met the inclusion criteria, and hence no analysis could be undertaken. AUTHORS' CONCLUSIONS: No conclusions can be made on the effects of interventions to promote SDM for children with cancer aged four to 18 years. This review has highlighted the dearth of high-quality quantitative research on interventions to promote participation in SDM for children with cancer. There are many potential reasons for the lack of SDM intervention studies with children. Attitudes towards children's participation are slowly changing in society and such changes may take time to be translated or adopted in healthcare settings. The priority may be on developing interventions that promote children's participation in communication interactions since information-sharing is a prerequisite for SDM. Restricting this review to RCTs was a limitation and extending the review to non-randomised studies (NRS) may have produced more evidence. We plan to expand the types of studies in future updates. Clearly more research is needed.
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 | 0,009 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,011 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| 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 ».