Screening highly prevalent disorders among the elderly
Notice bibliographique
Résumé
Eekhof and colleagues1 recently reported the results of screening highly prevalent disorders among the elderly in general practice. We fully agree with one of their concluding statements, “preventive care … should be started before the age of 75 years …”; however, their statement that a screening programme is not recommended does not seem a logical conclusion from their results. The primary outcome of the study was to demonstrate differences in disorder prevalence of the diseases/conditions in the intervention and control groups. Yet, all four conditions studied are chronic and cannot be eradicated in this population. These conditions can be controlled or managed to improve the health (by decreasing morbidity or mortality) or quality of life of patients. Perhaps the authors intended to look at the prevalence of ‘controlled’ or ‘managed’ conditions; however, this was not clear from the article. For example, in patients with urinary incontinence it may have been more applicable to evaluate the number of incontinence episodes/day or the number of absorbable undergarment products used, rather than prevalence. Patient refusal of intervention should not be interpreted as programme failure. Often patients can adapt to chronic diseases. Until their lifestyle is significantly disrupted, they may prefer to avoid intervention. For example, patients with urinary incontinence may have started using absorbable undergarments and did not feel that any other intervention was necessary. Regarding the refusal of interventions, it would have been beneficial to know which patients were diagnosed with depression, as this may have caused them to be more apathetic or not respond as well to the prescribed interventions. Previous studies have shown that urinary incontinence2,3 or other chronic diseases4 have been associated with depression or depressive symptomatology. The authors appropriately noted that “depression … is part of the daily reality of the elderly …”, yet it may have been helpful to reflect this diagnosis in their analyses. An important contribution of the screening programmes seems to be that this information was new to the physicians in 25–50% of patients, depending upon the condition. While patients may not want direct intervention to improve the conditions that were screened, knowledge of these conditions may impact care in other ways. For example, visual disorders may lead to decreased ability to manage medications, and additional, unreported interventions may have resulted that improved the patient's ability to manage their medications. One other point is that when the information was not new to physicians, it is not clear what happened. Were discussions carried out with patients regarding the condition and/or its management? We strongly support the efforts of GPs to screen elderly patients for chronic conditions such as hearing disorders, visual disorders, urinary incontinence and mobility disorders. Based upon this evaluation, concluding that such screening is not recommended for other general practice physicians is too strong, given the outcomes selected for evaluation.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,023 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,002 |
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 source (Gemma direct ou Codex distillé), 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 ».