头颈癌患者症状群研究

Symptom cluster of patients with head and neck cancer

目的探讨头颈癌患者的症状群种类及数量。方法使用安德森症状调查量表一头颈（MDASI—H＆N）对247例头颈癌患者进行问卷调查，使用因子分析法确认症状群，Spearman相关分析分析症状群内各症状相关性。结果头颈癌患者治疗期间存在5个症状群；各症状群的内部一致性信度Cronbach α系数分别为0．904、0．928、0．898、0．815、0．662；症状群内各症状均存在正相关（r=0．393—0．856，P〈0．01）。结论头颈癌患者在治疗期间各症状常以集群的形式出现，有效的管理既可消除或缓解患者的症状负担，还能降低症状管理成本。

Objective The research aimed to identify symptom clusters of head and neck cancer （HNC） patients. Methods The M.D. Anderson Symptom Inventory-Head ＆ Neck （MDASI-H＆N） was ap- plied to measure symptoms of .247 HNC inpatients. Factor analysis was applied to identify symptom clusters. The Spearman correlation analysis was used to find the relationship of symptoms within symptom clusters. Results Five clusters were identified and the Cronbach＇s α coefficients of symptom clusters were 0.904, 0.928, 0.898, 0.815 and 0.662 respectively. Symptoms within clusters were all significantly interrelated to each other （r=-0.393-0.856, P〈 0.01）. Conclusions Symptoms of HNC patients tend to occur not in isolation, but in symptom clusters. Effective management can not only eliminate or alleviate the symptom burden of HNC patients, but also be cost-effective.