Validation of an Instrument to Measure Patients' Intentions and Ability to Change Attitudes and Behavior
- Publication Type:
- Journal Article
- Complementary Medicine Research, 2017, 24 (4), pp. 246 - 254
- Issue Date:
|Büssing 2017 Validation of an Instrument to Measure Patients Intentions Ability to Change.pdf||Published Version||169.87 kB|
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
© 2017 S. Karger GmbH, Freiburg. Background: The efficacy of specific interventions also of mind-body medicine is also dependent on the patients' ability to engage in these interventions and to perceive and change health-affecting attitudes and behaviors. The aim was to validate a 13-item instrument to measure (1) the patients' perception of specific attitudes and behaviors that are assumed to have a negative influence on the health situation, (2) their intention to change them, and (3) the implementation of the intended changes in their life affairs. Patients and Methods: Anonymous cross-sectional survey among 512 patients with chronic pain conditions (mean age 42.6 ± 11.4 years; 58% women) using standardized instruments. Results: After the elimination of 4 items, an explorative factor analysis of the 9 remaining items indicated 2 factors that would explain 57% of the variance: Perceptions/Intentions (5 items; Cronbach's alpha = 0.75) and Ability/ Implementation (4 items; alpha = 0.77). Factor 2 correlated moderately to strongly with internal adaptive coping strategies (AKU) and situational awareness (CPSC), and weakly with mental health (SF-36), life satisfaction (BMLSS), and low depressive symptoms (BDI) and escape from illness (Escape). Factor 1 correlated weakly with age and adaptive coping strategies (AKU). Conclusions: The final 9-item Perception, Intention and Ability to Change (PIAC) scale was approved as a short, practicable and promising instrument, which should be further evaluated in the context of training and intervention programs, particularly with respect to its predictive relevance.
Please use this identifier to cite or link to this item: