某肿瘤医院化疗患者的症状评价

R. Gautam, Bhagwati Kalikotey, K. Shrestha, A. Shrestha
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摘要

癌症患者在接受化疗时通常会经历各种痛苦的症状。早期识别接受治疗的患者的痛苦症状是为患者提供优质护理的关键一步。本研究旨在评估接受化疗的癌症患者的频率、严重程度和痛苦症状及其预测因素。一项分析性横断面研究在一家癌症医院对233名接受癌症化疗的患者进行了调查。采用方便抽样法选择样本,采用面对面访谈法收集数据。在233名受访者中,不到一半(42.6%)属于40-59岁年龄组,男性(53.6%)。常见的生理症状为疼痛(70%)、精神不振(67.8%)、恶心(58.8%),心理症状为悲伤(43.8%)、焦虑(43.8%)、睡眠困难(18.5%)。受访者经历的最严重症状是疼痛、口干、缺乏精力和呼吸短促。患者年龄(β=0.321, p <0.001)、学历(β= 0.094, p <0.001)。东部肿瘤合作组(EOCG) (β=0.340, p <0.001)、化疗周期数(β=0.147, p 0.004)是躯体症状的预测因子。同样,对于全球危机指数,这些变量解释了88.9%的方差(p<0.001, r2 =0.889)。教育程度(β=0.078,p <0.001)、病程(β=0.081, p =0.032)、年龄(β=0.0.211, p <0.001)、ECOG(β=0.0264, p <0.001)是全球痛苦指数的预测因子。
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Symptom Assessment among Cancer Patients Receiving Chemotherapy In A Cancer Hospital
People with cancer usually experience various distressing symptoms while receiving chemotherapy. Early identification of distressing symptoms of patients receiving treatment is a crucial step toward providing quality nursing care for patients. This study aimed to assess the frequency, severity and distressing symptoms and its predictors among cancer patients who are receiving chemotherapy. An Analytical cross-sectional study was done among 233 people receiving cancer chemotherapy in a Cancer Hospital. Convenience sampling method was adopted to select sample and data was collected by in-person interview. Out of 233 respondents, less than half(42.6%) belonged to the 40-59 years age group and male (53.6%). The common physical symptoms were pain (70%), lack of energy (67.8%), nausea (58.8%) and psychological symptoms were feeling sad (43.8%), worrying (43.8%) and difficulty sleeping (18.5%). The most severe symptoms experienced by respondents were pain, dry mouth, lack of energy and shortness of breath. Patient’s age (β=0.321, p <0.001), education ( β= 0.094, p <0.001). Eastern Cooperative Oncology Group (EOCG) ( β=0.340, p <0.001), number of chemotherapy cycle ( β=0.147, p 0.004) were found to be predictors for the physical symptoms. Likewise, for the global distress index, these variables explained 88.9% of this variance (p<0.001, r 2 =0.889). Education (β=0.078,p <0.001), duration of illness (β=0.081, p =0.032) , age (β=0.0.211, p <0.001), ECOG(β=0.0264, p <0.001) were found to be predictors for the global distress index.
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