Kolankiewicz Adriane Cristina Bernat, de Souza Magnago Tânia Solange Bosi, Dos Santos Dullius Angela Isabel, De Domenico Edvane Birelo Lopes
Enfermeira, Professora Doutora, Graduação/Programa de Pós-Graduação em Atenção Integral à Saúde, Universidade Regional do Noroeste do Estado do Rio Grande do Sul/UNIJUÍ. Ijuí (RS), Brasil.
Enfermeira, Professora Doutora, Graduação/Programa de Pós-Graduação em Enfermagem da Universidade Federal de Santa Maria (UFSM), RS, Brasil.
Can Oncol Nurs J. 2017 Oct 1;27(4):365-374. doi: 10.5737/23688076274365374. eCollection 2017 Fall.
To investigate the association between demographic, economic and clinical variables, cancer symptoms, and daily life interference in patients receiving cancer treatment in Brazil.
In this cross-sectional study, 268 patients were assessed. A questionnaire was used to collect data on demographic, economic and clinical variables, and the M.D. Anderson Symptom Inventory was used to assess cancer symptoms. Data were analyzed using bivariate and multivariate descriptive statistics.
The following variables were associated with higher symptom scores: female sex (prevalence ratio [PR]=1.28; 95% confidence interval [95% CI] 1.06-1.53), illiteracy or ≤ 9 years of formal education (PR=1.40; 95% CI 1.08-1.82), clinical equipment or situations that requiring nursing care (PR=1.23; 95% CI 1.03-1.46), and family history of cancer (PR=1.23; 95% CI 1.04-1.45). Daily life interference was associated with female sex (PR=1.40; 95% CI 1.12-1.75), secondary tumour (PR=1.42; 95% CI 1.16-1.74) and radiotherapy (PR=1.24; 95% CI 1.01-1.51).
Management of cancer patients requires multidisciplinary knowledge, taking into consideration all the subjective dimensions of the patients. Knowing the profile of patients most strongly affected by symptoms will help them face the limitations and consequences of the disease and its treatment.
调查巴西接受癌症治疗患者的人口统计学、经济和临床变量、癌症症状与日常生活干扰之间的关联。
在这项横断面研究中,对268名患者进行了评估。使用问卷收集有关人口统计学、经济和临床变量的数据,并使用MD安德森症状量表评估癌症症状。采用双变量和多变量描述性统计方法分析数据。
以下变量与较高的症状评分相关:女性(患病率比[PR]=1.28;95%置信区间[95%CI]1.06-1.53)、文盲或正规教育年限≤9年(PR=1.40;95%CI 1.08-1.82)、需要护理的临床设备或情况(PR=1.23;95%CI 1.03-1.46)以及癌症家族史(PR=1.23;95%CI 1.04-1.45)。日常生活干扰与女性(PR=1.40;95%CI 1.12-1.75)、继发性肿瘤(PR=1.42;95%CI 1.16-1.74)和放疗(PR=1.24;95%CI 1.01-1.51)相关。
癌症患者的管理需要多学科知识,要考虑患者的所有主观维度。了解受症状影响最严重的患者特征将有助于他们面对疾病及其治疗的局限性和后果。