Survey and Analysis of Supportive Care Needs of Patients after Radical Breast Cancer Surgery based on Kano Model

Jing LIU; Mei YAN; Yashuang CHEN; Liyu DU; Sisi HUANG

doi:10.12259/j.issn.2095-610X.S20231129

Volume 44 Issue 11

Nov. 2023

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Article Navigation > Journal of Kunming Medical University > 2023 > 44(11): 188-194

Jing LIU, Mei YAN, Yashuang CHEN, Liyu DU, Sisi HUANG. Survey and Analysis of Supportive Care Needs of Patients after Radical Breast Cancer Surgery based on Kano Model[J]. Journal of Kunming Medical University, 2023, 44(11): 188-194. doi: 10.12259/j.issn.2095-610X.S20231129

Citation:

Jing LIU, Mei YAN, Yashuang CHEN, Liyu DU, Sisi HUANG. Survey and Analysis of Supportive Care Needs of Patients after Radical Breast Cancer Surgery based on Kano Model[J]. Journal of Kunming Medical University, 2023, 44(11): 188-194. doi: 10.12259/j.issn.2095-610X.S20231129

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Survey and Analysis of Supportive Care Needs of Patients after Radical Breast Cancer Surgery based on Kano Model

doi: 10.12259/j.issn.2095-610X.S20231129

1.
School of Nursing，Kunming Medical University, Kunming Yunnan 650000
2.
Nursing Department，Yunnan Cancer Hospital （3rd Affiliated Hospital of Kunming Medical University， Kunming Yunnan 650118, China

Received Date: 2023-09-06
Available Online: 2023-11-10
Publish Date: 2023-11-30

Abstract

Abstract

Objective To investigate the supportive care needs of patients after radical surgery for breast cancer based on the Kano model and define their attributes. Methods Convenience sampling was used to select 210 patients who underwent radical surgery for breast cancer and were hospitalized in a tertiary cancer specialty hospital in Yunnan Province from June 2021 to December 2021. The Kano model, Supportive Care Needs Survey-Short Form 34（SCNS-SF34）, and Better-Worse two-dimensional matrix were used to classify patients' supportive care needs. Furthermore, factor selection lines and sensitivity screening were applied to identify the needs that require significant improvement and rank them. Results A total of 210 questionnaires were distributed, and 200 valid questionnaires were collected, with an effective response rate of 95.2%. There were 2 mandatory attribute needs（5.9%）, 4 desired attribute needs（11.8%）, 23 attractive attribute needs（67.6%）, and 5 indifferent attribute needs（14.7%）. Fifteen needs were identified as priorities for improvement, with the highest sensitivity being 0.228 and the lowest being 0.012. Conclusion Healthcare professionals should continuously improve and optimize supportive care measures based on patients’ different needs to enhance their healthcare experience.
- Kano model,
- Breast cancer,
- Surgery,
- Supportive care needs

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References(22)

References

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