Background: The Patient Activation Measure (PAM13) is an instrument that assesses patient knowledge, skills, and confidence for disease self-management. This cross-sectional study was aimed to validate a culturally-adapted Italian Patient Activation Measure (PAM13-I) for patients with chronic conditions. Methods: 519 chronic patients were involved in the Italian validation study and responded to PAM13-I. The PAM 13 was translated into Italian by a standardized forward-backward translation. Data quality was assessed by mean, median, item response, missing values, floor and ceiling effects, internal consistency (Cronbach's alpha and average inter-item correlation), item-rest correlations. Rasch Model and differential item functioning assessed scale properties. Results: Mean PAM13-I score was 66.2. Rasch analysis showed that the PAM13-I is a good measure of patient activation. The level of internal consistency was good (aα = 0.88). For all items, the distribution of answers was left-skewed, with a small floor effect (range 1.7-4.5 %) and a moderate ceiling effect (range 27.6-55.0 %). The Italian version formed a unidimensional, probabilistic Guttman-like scale explaining 41 % of the variance. Conclusion: The PAM13-I has been demonstrated to be a valid and reliable measure of patient activation and the present study suggests its applicability to the Italian-speaking chronic patient population. The measure has good psychometric properties and appears to be consistent with the developmental nature of the patient activation phenomenon, although it presents a different ranking order of the items comparing to the American version

Graffigna, G., Barello, S., Bonanomi, A., Lozza, E., Hibbard, J., Measuring patient activation in Italy: Translation, adaptation and validation of the Italian version of the patient activation measure 13, <<BMC MEDICAL INFORMATICS AND DECISION MAKING>>, 2015; 15 (1): 109-N/A. [doi:10.1186/s12911-015-0232-9] [http://hdl.handle.net/10807/69793]

Measuring patient activation in Italy: Translation, adaptation and validation of the Italian version of the patient activation measure 13

Graffigna, Guendalina;Barello, Serena;Bonanomi, Andrea;Lozza, Edoardo;
2015

Abstract

Background: The Patient Activation Measure (PAM13) is an instrument that assesses patient knowledge, skills, and confidence for disease self-management. This cross-sectional study was aimed to validate a culturally-adapted Italian Patient Activation Measure (PAM13-I) for patients with chronic conditions. Methods: 519 chronic patients were involved in the Italian validation study and responded to PAM13-I. The PAM 13 was translated into Italian by a standardized forward-backward translation. Data quality was assessed by mean, median, item response, missing values, floor and ceiling effects, internal consistency (Cronbach's alpha and average inter-item correlation), item-rest correlations. Rasch Model and differential item functioning assessed scale properties. Results: Mean PAM13-I score was 66.2. Rasch analysis showed that the PAM13-I is a good measure of patient activation. The level of internal consistency was good (aα = 0.88). For all items, the distribution of answers was left-skewed, with a small floor effect (range 1.7-4.5 %) and a moderate ceiling effect (range 27.6-55.0 %). The Italian version formed a unidimensional, probabilistic Guttman-like scale explaining 41 % of the variance. Conclusion: The PAM13-I has been demonstrated to be a valid and reliable measure of patient activation and the present study suggests its applicability to the Italian-speaking chronic patient population. The measure has good psychometric properties and appears to be consistent with the developmental nature of the patient activation phenomenon, although it presents a different ranking order of the items comparing to the American version
2015
Inglese
Graffigna, G., Barello, S., Bonanomi, A., Lozza, E., Hibbard, J., Measuring patient activation in Italy: Translation, adaptation and validation of the Italian version of the patient activation measure 13, <<BMC MEDICAL INFORMATICS AND DECISION MAKING>>, 2015; 15 (1): 109-N/A. [doi:10.1186/s12911-015-0232-9] [http://hdl.handle.net/10807/69793]
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