首页|头颈部恶性肿瘤放疗患者护理未满足需求发展轨迹及其相关因素分析

头颈部恶性肿瘤放疗患者护理未满足需求发展轨迹及其相关因素分析

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目的 探讨头颈部恶性肿瘤放疗患者护理未满足需求发展轨迹及其相关因素.方法 选取2020年1月至2022年7月西安交通大学医学院第一附属医院接受放疗的头颈部恶性肿瘤患者230例作为研究对象,采用癌症患者未满足需求简明量表(SF-SUNS)评价放疗前(T1)、放疗结束时(T2)、放疗结束后3个月(T3)、6个月(T4)患者护理需求未满足情况.基于潜类别增长模型分析头颈部恶性肿瘤放疗患者护理未满足需求发展轨迹,采用多分类Logistic回归模型筛选其影响因素.结果 T1~T4时间点患者SF-SUNS评分分别为(70.23±5.20)分、(78.10 士6.15)分、(72.65±6.84)分及(72.20±6.21)分,各时间点SF-SUNS评分比较差异均有统计学意义(F=66.330,P<0.05).潜类别增长模型分析结果显示,当潜变量类别数为3时,Akaike信息标准(AIC)、经过校正Bayesian信息标准(aBIC)值最小,3类别模型为最佳模型,按未满足需求量表评分>60分为高需求未满足为参照,1类别在T1时SF-SUNS评分高于此水平,然后T4时间点降低,命名为高需求降低组,共69例(31.36%);2类别起始SF-SUNS评分较高后缓慢降低,命名为高需求稳定组,共77例(35.00%);起始SF-SUNS评分较低后升高,命名为低需求上升组,共74例(33.64%).3组年龄、受教育年限、家庭月收入、社会支持量表(SSRS)评分比较差异有统计学意义(P<0.05);多分类Logistic回归分析显示:SSRS评分、受教育年限为头颈部恶性肿瘤放疗患者护理未满足需求上升的危险因素,年龄、家庭月收入>5 000元为未满足需求上升的保护因素(P<0.05).结论 头颈部恶性肿瘤放疗患者护理未满足需求发展轨迹存在个体差异,应重点关注患者年龄、受教育年限、家庭经济情况及社会支持度,针对头颈部恶性肿瘤放疗患者需求未满足发展轨迹类型及影响因素制定个性化干预方案.
Analysis of unmet nursing needs and related factors in patients with radiotherapy for head and neck malignancies
Objective To explore the development trajectory and related factors of unmet nursing needs in radiotherapy patients with head and neck malignancies.Methods A total of 230 patients with head and neck malignant tumors who received radiotherapy in the hospital from January 2020 to July 2022 were se-lected as study objects.The unmet nursing needs of cancer patients were evaluated by the Brief Scale of Unmet Needs of Cancer Patients(SF-SUNS)before radiotherapy(T1),after radiotherapy(T2),3 months after radiotherapy(T3)and 6 months after radiotherapy(T4).The development trajectory of un-met nursing needs of radiotherapy patients for head and neck malignancies was analyzed based on the latent category growth model,and the influencing factors were screened by multi-classification Logistic regres-sion model.Results The T1-T4 time points were scored(70.23±5.20),(78.10±6.15),(72.65±6.84)and(72.20±6.21).There was significant difference between TL-T4 time points SF-SUNS scores(F=66.330,P<0.05).According to the analysis of latent category growth model,when the number of latent variable categories was 3,the AIC and aBIC values were the smallest,and the category 3 model was the best model.According to the unmet needs scale score>60,high unmet needs were classified as a refer-ence.Category 1 SF-SUNS score was higher than this level at T1,and then decreased at T4,so it was named as the high demand reduction group,with a total of 69 cases(31.36%);Category 2 started with high SF-SUNS score and then slowly decreased and was named as high-demand stable group,with 77 cases(35.00%).Category 3 started with a low SF-SUNS score and then increased and was named as the low de-mand SUNS rising group,with 74 cases(33.64%).There were statistically significant differences in age,years of education,monthly family income and SSRS scores among the 3 groups(P<0.05).Multiple Logistic regression analysis showed that SSRS score and years of education were risk factors for the in-crease of unmet demand for care in radiotherapy patients with head and neck malignancies,and age and monthly family income>5 000 yuan were protective factors for the increase of unmet demand(P<0.05).Conclusion The patients with head and neck malignant tumor radiotherapy have individual differences in the development trajectory of unmet nursing needs.The patients'age,years of education,family economic status and social support should be paid attention to,and personalized intervention programs should be de-veloped according to the types of unmet development trajectory and influencing factors of the patients with head and neck malignant tumor radiotherapy.

head and neck malignanciesradiotherapyunmet needsdevelopment track

朱丽、王玲、李茸

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西安交通大学医学院第一附属医院肿瘤放疗科,西安 710061

头颈部恶性肿瘤 放疗 未满足需求 发展轨迹

陕西省科技计划西安交通大学第一附属医院科研发展基金

2022SF-5622021HL-25

2024

新疆医科大学学报
新疆医科大学

新疆医科大学学报

CSTPCD
影响因子:0.76
ISSN:1009-5551
年,卷(期):2024.47(8)