Comparison of four methods for assessing the importance of attitudinal beliefs: An international <scp>D</scp> elphi study in intensive care settings
Notice bibliographique
Résumé
OBJECTIVES: Behaviour change interventions often target 'important' beliefs. The literature proposes four methods for assessing importance of attitudinal beliefs: elicitation frequency, importance ratings, and strength of prediction (bivariate and multivariate). We tested congruence between these methods in a Delphi study about selective decontamination of the digestive tract (SDD). SDD improves infection rates among critically ill patients, yet uptake in intensive care units is low internationally. METHODS: A Delphi study involved three iterations ('rounds'). Participants were 105 intensive care clinicians in the United Kingdom, Canada, and Australia/New Zealand. In Round 1, semi-structured interviews were conducted to elicit beliefs about delivering SDD. In Rounds 2 and 3, participants completed questionnaires, rating agreement and importance for each belief-statement (9-point Likert scales). Belief importance was assessed using elicitation frequency, mean importance ratings, and prediction of global attitude (Pearson's correlations; beta-weights). Correlations between indices were computed. RESULTS: Participants generated 14 attitudinal beliefs. Indices had adequate variation (frequencies: 4-94, mean importance ratings: 4.93-8.00, Pearson's correlations: ± 0.09 to ± 0.54, beta-weights: ± 0.01 to ± 0.30). SDD increases antibiotic resistance was the most important belief according to three methods and was ranked second by beta-weights (behind Overall, SDD benefits patients to whom it is delivered). Spearman's correlations were significant for importance ratings with frequencies and correlations. However, other indices were unrelated. The top four beliefs differed according to the measure used. CONCLUSIONS: Results provided evidence of congruence across three methods for assessing belief importance. Beta-weights were unrelated to other indices, suggesting that they may not be appropriate as the sole method. STATEMENT OF CONTRIBUTION: What is already known on this subject? Attitudinal beliefs (specific beliefs about the consequences of performing an action) are key to designing interventions to change intentions and behaviour. The literature reports four methods for assessing the importance of attitudinal beliefs: frequency of elicitation in interviews, importance ratings in questionnaires, and strength of prediction (bivariate and multivariate) of global attitude scores. The congruence between these measures of importance is not known. What does this study add? Four indices of importance were examined in a multi-professional, international study about the use of selective digestive decontamination to prevent infection in intensive care settings. Three indices were correlated with one another. Each method used to assess importance produced a different subset of the most important beliefs. Selection of the most important beliefs should use multiple assessment methods. This evidence suggests that multiple regression approaches may not be appropriate as the sole method for assessing belief importance.
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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 | 0,003 | 0,004 |
| 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 | 0,000 |
| 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 ».