Positive Health Online

Abstract

KWEKKEBOOM and co-workers, The University of Iowa College of Nursing, 314 Nursing Building, Iowa City, IA 52242, USA, kristine-kwekkeboom@uiowa.edu, report on a pilot study to predict success with guided imagery for cancer pain..

Background

Like many non-pharmacological interventions, guided imagery is effective for some patients but not for others. To date, no tested method exists that allows the identification of those patients who are likely to benefit. This pilot study tested a model based on imaging ability, outcome expectancy, history of imagery use, match with preferred coping style, and perceived credibility of the imagery provider

Methodology

A one-group pretest-posttest design was used. 62 hospitalized patients with pain rated more than 3 on a scale from 0 to 10 completed questionnaires and used an audiotaped intervention. Pain outcomes included mean pain intensity and distress, positive and negative affect, and perceived control over pain. A path analysis was conducted using multiple regression in order to evaluate the relationships proposed in the model.

Results

Imaging ability predicted mean pain intensity, positive affect, and perceived control over pain. Previous history with imagery predicted outcome expectancy. Outcome expectancy was not a significant predictor. Baseline status and concurrent symptoms also played a significant role in predicting outcomes.

Conclusion

Further exploration of model variables seems warranted. The findings suggest that after current symptom experience, imaging ability may be a significant predictor for the success of guided imagery in the control of cancer pain.

References

Kwekkeboom KL, Kneip J, Pearson L. A pilot study to predict success with guided imagery for cancer pain. Pain Management Nursing 4 (3): 112-123, Sep 2003.