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Psychosomatics ; 61(2): 127-134, 2020.
Article de Anglais | MEDLINE | ID: mdl-31928784

RÉSUMÉ

BACKGROUND: The Stanford Integrated Psychosocial Assessment for Transplantation (SIPAT) is a comprehensive instrument developed to accurately assess the main pretransplant psychosocial risk factors that may impact transplant outcomes. OBJECTIVE: As neither established assessment procedures nor standardized tools designed to perform pretransplant psychosocial evaluation are currently available in Italy, the present study was designed to develop and preliminarily validate the Italian version of the SIPAT. METHODS: First, our team developed the Italian version of the SIPAT, following standard forward-back translation procedures. Then, the Italian version of the SIPAT was retrospectively and blindly applied to 118 randomly selected transplant cases (40 heart, 40 lung, and 38 liver) by 2 independent examiners. Information about the patients' final transplant listing recommendation (i.e., listing vs. deferral) was independently collected from the respective transplant teams. RESULTS: The inter-rater reliability of the Italian version of the SIPAT scores was substantial (Cohen's kappa = 0.77; P < 0.001). Moreover, the predictive value of the SIPAT ratings on the final transplant listing recommendation (i.e., listing vs. deferral) for each examiner was significant (both P < 0.05). CONCLUSION: Current findings suggest that SIPAT is a promising and reliable instrument in its Italian version. Given these excellent psychometric characteristics, the use of the SIPAT as part of the pretransplant psychosocial evaluation in Italian medical settings is highly encouraged.


Sujet(s)
Transplantation d'organe/psychologie , Évaluation de la personnalité/statistiques et données numériques , Fonctionnement psychosocial , Adulte , Comparaison interculturelle , Femelle , Transplantation cardiaque/psychologie , Humains , Italie , Transplantation hépatique/psychologie , Transplantation pulmonaire/psychologie , Mâle , Dépistage de masse/statistiques et données numériques , Biais de l'observateur , Valeur prédictive des tests , Psychométrie/statistiques et données numériques , Reproductibilité des résultats , Facteurs de risque , Résultat thérapeutique
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