PURPOSE: The patient activation measure short form (PAM-13) assesses patients' self-reported health management skills, knowledge, confidence, and motivation. We used item response theory to evaluate the psychometric properties of the PAM-13 utilized in rural settings. METHODS: A Rasch partial credit model analysis was conducted on the PAM-13 instrument using a sample of 812 rural patients recruited by providers and our research staff. Specially, we examined dimensionality, item fit, and quality of measures, category response curves, and item differential functioning. Convergent and divergent validities were also examined. FINDINGS: The PAM-13 instrument has excellent convergent and divergent validities. It is fairly unidimensional, and all items fit the Rasch model well. It has relatively high person and item reliability indices. Majority of the items were free of item differential functioning. There were, however, some issues with ceiling effects. Additionally, there was a lack of responses for category one across all items. CONCLUSIONS: Patient activation measure short form (PAM-13) performs well in some areas, but not all. In general, more items need to be added to cover the upper end of the trait. The four response categories of PAM-13 should be collapsed into three.
PURPOSE: The patient activation measure short form (PAM-13) assesses patients' self-reported health management skills, knowledge, confidence, and motivation. We used item response theory to evaluate the psychometric properties of the PAM-13 utilized in rural settings. METHODS: A Rasch partial credit model analysis was conducted on the PAM-13 instrument using a sample of 812 rural patients recruited by providers and our research staff. Specially, we examined dimensionality, item fit, and quality of measures, category response curves, and item differential functioning. Convergent and divergent validities were also examined. FINDINGS: The PAM-13 instrument has excellent convergent and divergent validities. It is fairly unidimensional, and all items fit the Rasch model well. It has relatively high person and item reliability indices. Majority of the items were free of item differential functioning. There were, however, some issues with ceiling effects. Additionally, there was a lack of responses for category one across all items. CONCLUSIONS:Patient activation measure short form (PAM-13) performs well in some areas, but not all. In general, more items need to be added to cover the upper end of the trait. The four response categories of PAM-13 should be collapsed into three.
Authors: Jeanne A Teresi; Katja Ocepek-Welikson; Marjorie Kleinman; Joseph P Eimicke; Paul K Crane; Richard N Jones; Jin-Shei Lai; Seung W Choi; Ron D Hays; Bryce B Reeve; Steven P Reise; Paul A Pilkonis; David Cella Journal: Psychol Sci Q Date: 2009
Authors: Bi Xia Ngooi; Tanya L Packer; George Kephart; Grace Warner; Karen Wei Ling Koh; Raymond Ching Chiew Wong; Serene Peiying Lim Journal: Qual Life Res Date: 2016-09-19 Impact factor: 4.147
Authors: Man Hung; Judith F Baumhauer; L Daniel Latt; Charles L Saltzman; Nelson F SooHoo; Kenneth J Hunt Journal: Clin Orthop Relat Res Date: 2013-11 Impact factor: 4.176
Authors: Tanya L Packer; George Kephart; Setareh Ghahari; Åsa Audulv; Joan Versnel; Grace Warner Journal: Qual Life Res Date: 2015-01-06 Impact factor: 4.147
Authors: Courtney J Lightfoot; Thomas J Wilkinson; Katherine E Memory; Jared Palmer; Alice C Smith Journal: Clin J Am Soc Nephrol Date: 2021-06-11 Impact factor: 10.614
Authors: Man Hung; Shirley D Hon; Christine Cheng; Jeremy D Franklin; Stephen K Aoki; Mike B Anderson; Ashley L Kapron; Christopher L Peters; Christopher E Pelt Journal: Orthop J Sports Med Date: 2014-12-19