Informing patients about potential adverse drug reactions after percutaneous coronary intervention reduces the occurrence of self-reported adverse drug reactions
Notice bibliographique
Résumé
Abstract Background Healthcare providers are commonly reluctant to inform patients about potential adverse drug reactions (ADRs) from prescribed therapy to avoid increasing the incidence of ADRs through the nocebo effect. However, patients need information on all aspects of prescribed therapy to facilitate informed decision-making and take ownership of their care. Purpose To describe wether patients received information about potential ADRs from prescribed therapy before hospital discharge after percutaneous coronary intervention (PCI). Furthermore, to determine whether receiving information about ADRs is associated with incidence of self-reported ADRs. Methods CONCARDPCI is a prospective multicentre cohort study including 3417 patients after PCI. The study was conducted between June 2017 and May 2020 at seven large referral PCI centres in Norway and Denmark. Clinical data were collected from patients' medical records. Socio-demographic characteristics were obtained by self-report during index hospitalization after PCI. Two questions from the Heart Continuity of Care Questionnaire were used to determine if information about potential ADRs was received before hospital discharge. De novo created questions were used to determine if patients reported ADRs from prescribed therapy. Questionnaires were distributed two (T1), six (T2), and twelve months (T3) after hospital discharge to assess the incidence of self-reported ADRs in a longitudinal perspective. Logistic regression was utilised to scrutinize the aims, reported as odds ratios (ORs) with 95% confidence intervals (CIs). Results Patients were predominantly men (78%), with a mean age of 66 years (SD 11, range 20–96 years), and married or living with a partner (75%). Stable coronary artery disease was the most frequent cause of admission for PCI (30%). Before hospital discharge, 59% were informed of potential ADRs from prescribed therapy and 50% were informed what to do if ADRs occurred. The incidence of self-reported ADRs were significantly lower for those who were informed of potential ADRs compared to those who were not informed at T1 (OR 0.54, CI: 0.45–0.65, p<0.001), T2 (OR 0.56, CI: 0.46–0.70, p<0.001) and T3 (OR 0.51, CI: 0.42–0.67, p<0.001) (Figure 1). After controlling for socio-demographic and clinical variables, the incidence of self-reported ADRs were similar at T1 (OR 0.58, CI: 0.47–0.71, p<0.001), T2 (OR 0.56, CI: 0.46–0.70, p<0.001) and T3 (OR 0.53, CI: 0.42–0.66, p<0.001). Those less likely to receive information about ADRs were living alone (OR 0.75, CI: 0.59–0.97; p=0.029), women (OR 0.58, CI: 0.45–0.75, p<0.001) and those with three or more comorbidities (OR 0.68, CI: 0.47–0.98, p=0.029) compared to their counterparts. Conclusion Our study showed that informing patients about potential ADRs after PCI reduces the occurrence of self-reported ADRs. Information about potential ADRs should be provided regardless of cohabitation status, sex and comorbidities. Funding Acknowledgement Type of funding sources: Public hospital(s). Main funding source(s): Western Norway Health Authority
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 | 0,003 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 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) | 0,003 | 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 ».