基于随机森林模型的乳腺癌术后病人复发恐惧 影响因素研究.
Objective: To understand the status quo of fear of cancer recurrence（FCR） in postoperative patients with breast cancer, and to analyze the influencing factors of FCR based on random forest algorithm. Methods: A total of 228 postoperative female patients with breast cancer who were hospitalized in a...
| Publicado en: | Chinese Nursing Research Vol. 37; no. 22; pp. 3997 - 4003 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
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Chinese Nursing Research Editorial Office
11/15/2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=174148680&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 174148680 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10096493 YV6 jtl: Chinese Nursing Research issn: 10096493 maglogo: N pubinfo: dt: 11/15/2023 vid: 37 iid: 22 pid: 37375 pub: Chinese Nursing Research Editorial Office artinfo: ui: 174148680 174148680 174148680 10.12102/j.issn.1009-6493.2023.22.003 174148680 ppf: 3997 ppct: 6 formats: tig: atl: 基于随机森林模型的乳腺癌术后病人复发恐惧 影响因素研究. aug: au: 田朝霞 李红梅 杨 佳 郝婷 affil: 山西医科大学汾阳学院, 山西 032200 sug: subj: Neoplasm Recurrence, Local Fear Postoperative Care Breast Neoplasms Random Forest Algorithms Adaptation, Psychological Human Female Convenience Sample Hospitalization Questionnaires Logistic Regression Communication Cognition Trust Nursing Interventions China Female ab: Objective: To understand the status quo of fear of cancer recurrence（FCR） in postoperative patients with breast cancer, and to analyze the influencing factors of FCR based on random forest algorithm. Methods: A total of 228 postoperative female patients with breast cancer who were hospitalized in a tertiary grade A hospital in Shanxi province were selected as subjects by convenience sampling from January to December 2022. The demographic sociological data questionnaire, behavior habits questionnaire, disease related data questionnaire, and Fear of Progression Questionnaire-Short Form（FoP-Q-SF） were used to investigate the patients. Random forest algorithm was constructed to rank the importance of variables. The influencing factors of FCR in postoperative patients with breast cancer were analyzed by binary Logistic regression. Results: The incidence of FCR in postoperative patients with breast cancer was 68. 42%. Random forest algorithm was constructed to rank the importance of variables, the top 7 variables ranked in importance were age（19. 81%）, trust in doctors （16. 04%）, family communication mode（8. 23%）, awareness of diseases（7. 68%）, number of unmarried children in the family （7. 12%）, tumor stage（6. 55%）, and disease diagnosis time（6. 18%）. Logistic regression analysis showed that age, trust in doctors, number of unmarried children in the family, tumor stage, and awareness of disease were the main influencing factors of FCR in postoperative patients with breast cancer（P<0. 05）. Conclusions: The incidence of FCR in postoperative patients with breast cancer is high. Clinical nursing staff can identify high-risk patients as early as possible and implement effective nursing intervention according to the influencing factors of FCR in postoperative patients with breast cancer. 目的:了解乳腺癌术后病人癌症复发恐惧（FCR）发生现状, 基于随机森林算法分析发生FCR 的影响因素。方法:采用便利抽 样法, 选取2022 年1 月--12 月山西省某三级甲等医院住院治疗的228 例女性乳腺癌术后病人为研究对象。采用人口社会学资料问 卷、行为习惯问卷、疾病相关资料问卷、恐惧疾病进展简化量表（FoP-Q-SF）对病人进行调查, 构建随机森林模型并进行变量重要性 排序, 通过二元Logistic 回归分析探究乳腺癌术后病人发生FCR 的影响因素。结果:乳腺癌术后病人FCR 发生率为68. 42%。采用 随机森林算法对变量进行重要性排序, 重要性排序位于前7 位的变量依次为年龄（19. 81%）、对医生的信任度（16. 04%）、家庭沟通 模式（8. 23%）、对疾病的知晓程度（7. 68%）、家庭未婚子女数（7. 12%）、肿瘤分期（6. 55%）及疾病确诊时长（6. 18%）。Logistic 回归 分析结果显示, 年龄、对医生的信任度、家庭未婚子女数、肿瘤分期、对疾病的知晓程度是乳腺癌术后病人发生FCR 的主要影响因素 （P<0. 05）。结论:乳腺癌术后病人FCR 发生率较高, 临床护理人员可根据乳腺癌术后病人发生FCR 的影响因素及早识别高危病 人并实施有效的护理干预. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: Chinese refInfo: holdings: @attributes: islocal: N |
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