基于理论域框架的ICU护士执行身体约束缩减行动障碍因素的质性研究

目的：探讨ICU护士执行身体约束缩减行动的障碍因素，为制定身体约束标准化管理方案提供依据。方法：基于理论域框架（TDF）制定访谈提纲，采用目的抽样法对天津市某三级甲等医院的12名ICU护士进行半结构式访谈，按照TDF的相关领域对转录后的资料进行归类，用内容分析法对访谈资料进行分析。结果：ICU护士对身体约束缩减行动理解存在偏差、对约束替代措施内容的不熟悉是其执行身体约束缩减行动的障碍因素之一；身体约束缩减方案评估工具、决策流程的不规范对缩减约束行动的开展造成了一定阻碍；环境因素的限制及对缩减约束结果的担忧，使ICU护士没有足够的信心去执行；科室缺乏支持缩减约束的组织氛围，难以引起护士对执行约束缩减行动的重视，进而削减执行的动力。结合理论域框架将上述因素分别归属为知识、自我效能、环境背景和资源、社会影响、行为规范5个领域。结论：知识、自我效能、环境背景和资源、社会影响及行为规范为ICU护士执行身体约束缩减行动的障碍因素。科室要在明确障碍因素的基础上，加强领导层对执行缩减约束的重视和支持。制定缩减约束评估决策规范化流程以及培训方案，倡导团队协作，创造支持身体约束缩减行动的组织氛围，坚定ICU护士执行缩减约束的信心，促进身体约束缩减行动的持续实施。     

Disparity in Utilization of Multiagent Therapy for Acute Promyelocytic Leukemia in the United States

BackgroundDespite high rate of cure in acute promyelocytic leukemia (APL) in clinical trials, outcomes in real-world practice are dismal. We utilized National Cancer Database (NCDB) to explore utilization of multiagent therapy in APL and identify any disparities in treatment in real-world practices.Patients and MethodsNCDB categorizes use of systemic chemotherapy into single agent versus multiagent therapy. Some patients received hormonal therapy, immunotherapy, and unknown therapy; details of these treatments could not be ascertained. We therefore used multiple logistic regression analysis to evaluate effects of covariates on the probability of multiagent therapy use in 6678 patients.ResultsCompared to patients >60 years, patients aged 0 to 18 years (hazard ratio[HR] 3.2, 95% confidence interval [CI] 1.8-5.5, P< .0001), 19 to 40 years (HR 1.6, 95% CI 1.03-2.54, P= .03), and 41 to 60 years (HR 1.6, 95% CI 1.3-1.9, P< .0001) were more likely to receive multiagent therapy. Patients with Charlson comorbidity index (CCI) of 0 (HR 1.6, 95% CI 1.2-2.3, P= .001) and CCI of 1 (HR 1.4, 95% CI 1.0-1.9, P= .04) had a higher likelihood of receiving multiagent therapy than patients with CCI ≥ 3. Patients treated at academic cancer centers, compared to those treated at community cancer center (HR 0.5, 95% CI 0.3-0.7, P= .001), comprehensive community cancer center (HR 0.7, 95% CI 0.6-0.8, P< .0001), and integrated network cancer center (HR 0.8, 95% CI 0.6-0.9, P= .02) were more likely to be treated with multiagent therapy. Compared to the patients with private insurance, those with Medicaid had increased likelihood (HR 1.2, 95% CI 1.0-1.4, P= .04) whereas uninsured patients had a lower likelihood of receiving multiagent therapy (HR 0.6, 95% CI 0.5-0.8, P= .0005).ConclusionTo our knowledge, this study is the first and the largest scale analysis of treatment practices in APL in real-world practices. Our findings highlight significant disparities in treatment of APL based on age, insurance, and health-system factors.