[Relationships between insight and medication adherence in subjects with psychosis].
Notice bibliographique
Résumé
BACKGROUND: Poor medication adherence in subjects with psychosis has a high prevalence and a negative impact on clinical outcome. Several studies have reported that a poor level of insight was a strong predictor of poor medi-cation adherence. However, few studies have investigated whether insight was associated with medication adherence, independently from other clinical and treatment characteristics. OBJECTIVE: To explore the link between insight and medi-cation adherence in subjects with psychosis, and to assess the impact of potential confounding factors on this association. METHOD: Subjects included in the study were patients aged 60 or less, consecutively admitted in a psychiatric ward, and presenting with at least one psychotic symptom (delusion or hallucination). Medication adherence was assessed using: 1) history of total discontinuation of treatment against medical advice over the 2 weeks before admission; 2) the 7-point rating scale developed by Kemp et al.; 3) the self-report questionnaire Drug Attitude Inventory (DAI). The Scale to assess Unawareness of Mental Disorder (SUMD) was used to measure level of insight. Assessment of symptoms was performed using the Scale for the Assessment of Positive Symptoms (SAPS), the Scale for the Assessment of Negative Symptoms (SANS), and the Calgary Depression Scale (CDS). DSM IV diagnoses were assessed using the Diagnostic Interview for Psychosis (DIP). The associations between level of insight (SUMD scores) and the three measures of medication adherence were explored using the non-parametric Mann-Whitney and Spearman's tests. Logistic regression models giving Odds Ratios (ORs) and 95% confidence intervals (95% CI) were used to examine the impact of potential confounding variables on the associations between level of insight and medication adherence. RESULTS: 42 patients presenting with schizophrenia broadly defined (n=25) or psychotic mood disorder (n=17) were assessed. Significant associations were found between higher SUMD scores (ie poorer insight) and discontinuation of treatment before admission (z=- 2.6, p=0.009), poor medication adherence rated using the Kemp et al.'s scale (r=- 0.64; p=0.0001), and negative perception of treatment assessed using the DAI (r=- 0.405; p=0.009). The Kemp'scale score and the DAI score were categorised into poor vs. good according to the median for logistic regression analyses. Subjects were 1.7 times more likely (OR=1.7, 95% CI 1.1-2.5, p=0.01) to have discontinued their treatment, 1.9 times more likely (OR=1.9, 95% CI 1.3-2.8), p=0.0003) to have poor medication adherence rated with the Kemp's scale, and 1.8 times (OR=1.8, 95% CI 1.2-2.6, p=0.005) more likely to have a negative perception of the treatment for one point increase at the SUMD score (ie lower level of insight). The associations between SUMD score and the three measures of medication adherence were not modified after adjustment for demographic characteristics (age, gender, educational level, occupational status, marital status) and categorical diagnosis (schizophrenia broadly defined vs. psychotic mood disorder), severity of symptoms (SANS, SAPS, CDS scores), characteristics of the psychotropic treatment, diagnosis of substance or alcohol use disorder, age at onset, and number of previous admissions. CONCLUSION: The study demonstrates that medication adherence is associated with the level of insight, independently from other patient's demographic and clinical characteristics. The association between low level of insight and poor medication adherence should be confirmed using prospective studies carried out in ambulatory patients. These findings suggest that psycho-educational programs aimed at improving insight should be developed in order to improve medication adherence.
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 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 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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) | 0,004 | 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 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 ».