Memorial Sloan Kettering Cancer Center.
University of Pennsylvania.
Oncol Nurs Forum. 2021 Jan 4;48(1):45-58. doi: 10.1188/21.ONF.45-58.
To determine whether clusters based on analgesic treatment beliefs among patients with cancer predict objective analgesic adherence.
SAMPLE & SETTING: 207 patients with cancer in the outpatient setting who were aged 18 years or older, self-identified as White or African American, were diagnosed with solid tumor or multiple myeloma, and were prescribed at least one around-the-clock analgesic prescription for reported cancer pain.
METHODS & VARIABLES: This study is a secondary analysis of an existing dataset. General linear modeling with a backward elimination approach was applied to determine whether previously identified analgesic treatment belief clusters, as well as sociodemographic, clinical, and pain variables, were associated with adherence behaviors.
Significant explanatory factors were experiential in nature and included sociodemographic, clinical, and pain-related variables, explaining 21% of the variance in analgesic adherence. Analgesic belief clusters were not predictive of adherence.
Future research should examine sociodemographic and other clinical factors, as well as the influence of analgesic treatment beliefs, to better understand adherence behaviors among patients with cancer.
确定基于癌症患者的镇痛治疗信念的聚类是否可以预测客观的镇痛依从性。
207 名年龄在 18 岁或以上的门诊癌症患者,自认为是白种人或非裔美国人,被诊断为实体瘤或多发性骨髓瘤,并开了至少一种用于治疗报告的癌症疼痛的 24 小时镇痛处方。
本研究是对现有数据集的二次分析。采用逐步向后淘汰的方法进行一般线性建模,以确定先前确定的镇痛治疗信念聚类,以及社会人口统计学、临床和疼痛变量,是否与依从行为相关。
具有解释意义的因素具有经验性质,包括社会人口统计学、临床和与疼痛相关的变量,解释了镇痛依从性的 21%。镇痛信念聚类不能预测依从性。
未来的研究应该检查社会人口统计学和其他临床因素,以及镇痛治疗信念的影响,以更好地了解癌症患者的依从行为。