The importance of indirect screening and objective gold standards: a response to <scp>T</scp>erplan (2012)
Notice bibliographique
Résumé
We wish to thank Dr Terplan for his comments 1 on our recent paper 2, and offer here a brief response. Our paper suggests that self-report during a structured interview is a poor gold standard for screener validation when under-reporting is likely. That is, the validity of direct screeners in such contexts may be falsely inflated by comparisons to an overly similar gold standard, resulting in high accuracy values despite the possibility that many may deny drug use during the interview as well as during screening. Using an objective gold standard with a sample of African American women, we demonstrated that a commonly used direct screener failed to identify the majority of those using drugs during pregnancy, and that a rigorously developed indirect screener identified a far greater proportion of at-risk women. Given our clear distinction between self-report and objective gold standards and the very poor performance of direct screening in our sample, it is surprising that Dr Terplan questions the need for a measure such as the Wayne Indirect Drug Use Screener (WIDUS). The direct screener in our study identified only 7% of women using drugs during pregnancy (37% when using its lowest possible cut score). It is difficult to see how this can be considered anything other than unacceptable. Further, the existence of other screeners with similar predictive accuracy is of limited relevance to the WIDUS if those accuracy values were derived against self-report gold standards. Dr Terplan fails to recognize this crucial distinction. Whether or not we need more screeners validated against self-report, we very much need more research on safe, practical ways to identify actual drug use during pregnancy. Dr Terplan's additional concerns relate to what might follow a positive indirect screen. Anticipating such questions, we wrote originally that: ‘Brief interventions that address substance use in a non-specific way, in the context of several other potential health risks, may be helpful … Future research should evaluate whether it is possible for a brief intervention to reduce drug use without directly presuming the presence of that behavior’ ([2], p. 2105). We are in the midst of a clinical trial testing just such an indirect brief intervention. Although outcome data are not yet available, 46 of 52 intervention group participants thus far (85%) report being more likely to make a personal change because of the intervention, with most specifically indicating a desire to reduce drug use in their home; this despite the lack of any presumption of drug use. Further, indirect screening actually presents far less risk to pregnant women than traditional approaches. Endorsing items such as: ‘Most of my friends smoke cigarettes’ is, by design, considerably less prejudicial than a positive urinalysis or direct admission of drug use. It would be irresponsible to simply ignore the many at-risk pregnant women who choose not to disclose drug use, or to respond only with bromides about education and empowerment. Creative approaches can and should be pursued vigorously. None.
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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 | 0,001 | 0,003 |
| 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 | 0,001 | 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 ».