A review of caregiver distress and coronary artery disease: prevalence, risk, outcomes, and management
Notice bibliographique
Résumé
Abstract Funding Acknowledgements Type of funding sources: None. Background Witnessing a loved one experience an acute, life-threatening event may prompt distress among those caring for patients with coronary artery disease. Furthermore, medical management and lifestyle behaviour change is often required of the patient with assistance from the caregiver, which may prompt feelings of caregiver burden. Reviews have highlighted the risks and rewards of caregiving in the heart failure context but there has been no synthesis of the literature on caregiver distress in other cardiac patient populations. A summary of accumulated knowledge is required to estimate caregivers’ potential risk, identify potentially efficacious practices and programming to respond to this risk, and highlight gaps in the research. Purpose This narrative review synthesizes existing research on distress in caregivers of patients who experienced an acute coronary syndrome (ACS) and/or coronary revascularization (PCI/CABG). Methods Eligibility criteria included English, primary studies (published between 2002-2022) using quantitative research methods that investigated caregiver distress (defined as anxiety, depression, quality of life, perceived burden and strain) as a descriptive, predictive, or outcome variable. Patients must have experienced an ACS or PCI/CABG. Results Overall, 31 articles met the eligibility criteria (20 observational; 11 intervention). The sample sizes ranged from 33-460 caregivers, with a total of 4943 caregivers (71.3% female; 80% spouses). Caregiver distress varied widely (6-67% of the samples had distress scores > cut offs). Sociodemographic correlates of worse caregiver distress were younger age and less education. Sex-and-gender specific analyses were seldom conducted. Caregiver distress was higher in those with poorer preventative health behaviours, lower quality of life, passive coping strategies, and reduced caregiver competence. Predictors of caregiver distress were patients’ depression symptoms, poor relationship quality/marital satisfaction, less optimism, and fear of the patient’s illness progression. A patient’s increased access to informational and emotional support reduced caregiver distress; patients’ elevated levels of anxiety and depression were associated with greater caregiver distress. Interventions were broadly categorized as educational, psychosocial, and cardiac rehabilitation. Most interventions were brief (<6 sessions) with follow-ups ranging from three days to two-years. In general, 70% of interventions yielded positive changes in caregiver distress. Conclusions This review synthesized contemporary data on distress in caregivers of patients with CAD. These results are far from definitive, however, as there is heterogeneity in study samples, measurements used, and timing of assessments and programming. Further advancement in caregiving science and clinical care is required to adequately understand and respond to the needs of caregivers throughout the patient’s illness trajectory.
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 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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| 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 ».