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Title: Measuring motivation for medical treatment: Confirming the factor structure of the Achievement Motivation Index for Medical Treatment (AMI-MeT)
Authors: Hatta, Taichi  kyouindb  KAKEN_id
Naria, Keiichi
Yanagihara, Kazuhiro
Ishiguro, Hiroshi  kyouindb  KAKEN_id
Murayama, Toshinori
Yokode, Masayuki  kyouindb  KAKEN_id
Author's alias: 石黒, 洋
横出, 正之
Keywords: Cancer treatment
Patients’ motivation
Structural equation modeling
Informed consent
Issue Date: 19-Feb-2016
Publisher: BioMed Central Ltd.
Journal title: BMC Medical Informatics and Decision Making
Volume: 16
Thesis number: 28
Abstract: Background: Developments in chemotherapy have led to changes in cancer care in Japan, with the government promoting a transition to outpatient chemotherapy. This requires patients and their families to participate more actively in treatment than in the past. However, it remains unclear how patients' motivation for medical treatment affects clinical consultations with their physicians. To investigate this, we developed a psychological index called the Achievement Motive Index for Medical Treatment (AMI-MeT), which comprises self-derived achievement motivation (AMS) and achievement motivation derived from others (AMO). However, its factor structure has not yet been confirmed in populations other than healthy university students. Thus, the aims of this study were to confirm the factor structure of the AMI-MeT in other groups and to determine the convergent and divergent validity of the AMI-MeT. Methods: The AMI-MeT was administered to university students (n = 414), apparently healthy workers (n = 154), and cancer patients (n = 51). Multi-group confirmatory factor analysis was conducted and the mean scores of the AMI-MeT were compared between the groups. Correlations between the AMI-MeT and the Self-Construal Scale, comprising independent self-construal (IndSC) and interdependent self-construal (InterSC) subscales, were investigated in another group of students (n = 335). Results: The multi-group confirmatory factor analysis supported a two-factor structure of the AMI-MeT: The weak invariance model was the best fit for the data. The mean scores of the AMI-MeT in apparently healthy workers and cancer patients were significantly higher than that in students (P <.01). The correlation analysis revealed that AMS scores were associated with IndSC scores (r =.25, P <.01) and AMO scores with InterSC scores (r =.30, P <.01). Conclusion: The two-factor model of the AMI-MeT was deemed appropriate for all three groups, and the subscales of the AMI-MeT successfully reflected the self and other dimensions. The AMI-MeT appears to be an effective tool for measuring medical treatment motivation, making it useful in participant observational research on medical consultations for Japanese cancer treatment.
Description: The Erratum to this article has been published in BMC Medical Informatics and Decision Making 2016 16:28
Rights: © 2016 Hatta et al. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
DOI(Published Version): 10.1186/s12911-016-0260-0
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