Problem: Nurses face a variety of stressors that can result in decreased levels of compassion satisfaction. The purpose of this study was to investigate the efficacy of a computerized interactive social assist robot (PARO) to decrease stressors and increase compassion levels of acute care nurses in an inpatient setting.
Theory: The Professional Quality of Life Model posits that low Compassion Satisfaction, Burnout, and Secondary Traumatic Stress leads to Compassion Fatigue.
Hypotheses: It was hypothesized that interaction with a social assist robot with artificial intelligence will result in decreasing levels of stress therefore increasing levels of compassion satisfaction in nurses working in the inpatient setting.
Design/Methods: This was an explanatory sequential mixed methods study. In the first quantitative phase, data were collected before and after the intervention. The qualitative component occurred during the second phase at which time focus group interview sessions were used to explain the results of phase one.
Analysis: Phase one, quantitative data were analyzed using repeated measures analysis of covariance. Phase two, qualitative data were coded and thematic analysis conducted for focus group transcripts. Data from both the quantitative and qualitative phases were integrated to further explain the results.
Date of publication
Dr. Gloria Duke, Dr. Sandra Petersen, Dr. Eric Stocks
Henson, Jo S., "The Effectiveness of a Robotic Seal on Compassion Satisfaction in Acute Care Nurses: A Mixed Methods Approach" (2019). Nursing Theses and Dissertations. Paper 104.