Full
Outline
To analyze the smart health care service demands of postoperative thyroid cancer patients based on the Kano model.
A convenience sampling method was adopted.A total of 280 postoperative thyroid cancer patients in our hospital were selected as study subjects from May 2022 to June 2025.The patients were surveyed using a self-designed Kano model demand attribute questionnaire for postoperative thyroid cancer patients.Kano model demand attribute classification, better coefficient-worse coefficient analysis,two-dimensional matrix analysis,and sensitivity analysis were performed.
A total of 15 demands fell into the priority improvement area,including 4 must-be attributes(26.67%),5 attractive attributes(33.33%),and 6 one-dimensional attributes(40.00%).Sensitivity analysis of the demands was conducted.The highest sensitivity value was 0.327,and the lowest was 0.062.The items "remote alert for hypocalcemia","reminder push for follow-up visits",and "swallowing function rehabilitation guidance" showed relatively high sensitivity.
Based on the analysis results of smart health care service demands of postoperative thyroid cancer patients,nursing workers could focus on remote alert for hypocalcemia,reminder push for follow-up visits,and swallowing function rehabilitation guidance and so on to develop higher-quality nursing plans.
75
32
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
