STUDY OBJECTIVE: We describe the use of the Kano Attractive Quality analytic tool to improve an identified patient experience gap in perceived compassion by emergency department (ED) providers. METHODS: In phase 1, point-of-service surveying assessed baseline patient perception of ED provider compassion. Phase 2 deployed Kano surveys to predict the effect of 4 proposed interventions on patient perception. Finally, phase 3 compared patients receiving standard care versus the Kano-identified intervention to assess the actual effect on patient experience. RESULTS: In phase 1, 193 of 200 surveys (97%) were completed, showing a baseline median score of 4 out of 5 (interquartile range [IQR] 3 to 5), with top box percentage of 33% for patients' perception of receiving compassionate care. In phase 2, 158 of 180 surveys (88%) using Kano-formatted questions were completed, and the data predicted that increasing shared decisionmaking would cause the greatest improvement in the patient experience. Finally, in phase 3, 45 of 49 surveys (92%) were returned and demonstrated a significant improvement in perceived concern and sensitivity, 5 (IQR 5 to 5) versus 4 (IQR 3 to 5) with a difference of 1 (95% CI 0.1-1.9) and a top box rating of 79% versus 35% with a difference of 44% (95% CI 12-66) by patients who received dedicated shared decisionmaking interventions versus those receiving standard of care. CONCLUSION: Kano analysis is likely predictive of change in patient experience. Kano methods may prove as useful in changing management of the health care industry as it has been in other industries.
STUDY OBJECTIVE: We describe the use of the Kano Attractive Quality analytic tool to improve an identified patient experience gap in perceived compassion by emergency department (ED) providers. METHODS: In phase 1, point-of-service surveying assessed baseline patient perception of ED provider compassion. Phase 2 deployed Kano surveys to predict the effect of 4 proposed interventions on patient perception. Finally, phase 3 compared patients receiving standard care versus the Kano-identified intervention to assess the actual effect on patient experience. RESULTS: In phase 1, 193 of 200 surveys (97%) were completed, showing a baseline median score of 4 out of 5 (interquartile range [IQR] 3 to 5), with top box percentage of 33% for patients' perception of receiving compassionate care. In phase 2, 158 of 180 surveys (88%) using Kano-formatted questions were completed, and the data predicted that increasing shared decisionmaking would cause the greatest improvement in the patient experience. Finally, in phase 3, 45 of 49 surveys (92%) were returned and demonstrated a significant improvement in perceived concern and sensitivity, 5 (IQR 5 to 5) versus 4 (IQR 3 to 5) with a difference of 1 (95% CI 0.1-1.9) and a top box rating of 79% versus 35% with a difference of 44% (95% CI 12-66) by patients who received dedicated shared decisionmaking interventions versus those receiving standard of care. CONCLUSION: Kano analysis is likely predictive of change in patient experience. Kano methods may prove as useful in changing management of the health care industry as it has been in other industries.
Authors: Julie M Baughn; Hannah G Lechner; Daniel L Herold; Virginia A Brown; Wendy R Moore; Cameron D Harris; Heidi I Stehr; Channing M Sorensen; Eric J Cleveland; James D Akason; Timothy I Morgenthaler; Robin M Lloyd Journal: J Clin Sleep Med Date: 2020-07-15 Impact factor: 4.062
Authors: Carla M Bastemeijer; Hileen Boosman; Hans van Ewijk; Lisanne M Verweij; Lennard Voogt; Jan A Hazelzet Journal: Patient Relat Outcome Meas Date: 2019-05-21
Authors: Hensley H Mariathas; Oliver Hurley; Nahid Rahimipour Anaraki; Christina Young; Christopher Patey; Paul Norman; Kris Aubrey-Bassler; Peizhong Peter Wang; Veeresh Gadag; Hai V Nguyen; Holly Etchegary; Farah McCrate; John C Knight; Shabnam Asghari Journal: JMIR Res Protoc Date: 2022-03-24