Effect of reducing the number of items of the Oral Health Impact Profile on responsiveness, validity and reliability in edentulous populations
Notice bibliographique
Résumé
BACKGROUND: The 49-item Oral Health Impact Profile (OHIP) has shown strong responsiveness, reliability and validity. However, the large number of items included may limit its use in clinical trials, clinical practice and surveys. OBJECTIVE: The main objective of this study is to assess the effect of reducing the number of items in each domain, one at a time, on responsiveness, reliability and validity of the OHIP in edentulous populations. MATERIALS AND METHODS: Data used in this study were obtained from two randomized clinical trials comparing mandibular implant overdentures and conventional dentures among 102 subjects between 35 and 65 years of age, and 60 subjects over the age of 65 years. Participants were edentulous individuals who wished to replace their current prostheses. Subjects in both trials were asked to complete the 49-item OHIP prior to treatment and at 2 months post-treatment. Within the study, effect sizes were computed at each stage of item reduction using the impact method. Intraclass correlation coefficients and Pearson's correlation coefficients were also assessed at each stage of item reduction. In addition, receiver-operating characteristic (ROC) curves were used to indicate the accuracy with which measurement changes corresponded to judgements of important changes in Oral Health Related Quality of Life (OHRQL). RESULTS: The results indicated that, in general, domain responsiveness was not affected by the reduction of the number of items used per domain. However, there was a decrease in reliability, especially within the 'psychological' and 'social' disabilities and 'handicap' domains (35- to 65-year group). In addition, there was a decrease in construct validity of the 'physical pain', 'psychological' and 'social disabilities' domains (35- to 65-year group), as well as on 'physical pain', 'psychological discomfort', 'physical' and 'psychological' disabilities in the 65-year and older group. This occurred primarily, when reducing from two to one item per domain. Among the 35- to 65-year group, there were consistencies in patients' ratings of the importance of similarly measured changes in oral health. CONCLUSION: The results indicate that although the 49-item OHIP responsiveness could be maintained with item reduction, this will lead to compromises in reliability and validity.
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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 | 0,015 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».