College of Nursing, University of Colorado-Denver Anschutz Medical Campus, Aurora, Colorado, USA.
Int J Nurs Knowl. 2023 Oct;34(4):316-324. doi: 10.1111/2047-3095.12406. Epub 2022 Nov 10.
Patients with glioblastoma multiforme (GBM) face uncertainty during the illness trajectory that decreases their quality of life. Uncertainty manifests as an altered state of mind in patients with GBM and increases the burden of managing their diagnosis. The uncertainty in illness theory (UIT) can be used to guide nursing practice and create care plans to decrease this uncertainty.
The UIT and conceptual model were used to pair diagnoses from NANDA-I Nursing Diagnoses to form care plans for patients with GBM.
In a stepwise approach, concepts from the UIT were organized and cross-walked into an integrated theory-driven practice framework to enhance care planning.
The UIT helps define and identify circumstances of uncertainty in patients experiencing illness, and Nursing Diagnoses provide engagement and outcomes for those uncertainty-based diagnoses. Some examples of the UIT guiding Nursing Diagnoses includes a patient's cognitive level guiding a Nursing Diagnosis care plan of Risk for Acute Confusion. Social Support can guide the care plan of Risk for Loneliness, and appraisal of uncertainty can guide a care plan for Ineffective Individual Coping. Using the UIT to guide theory-driven practice links interventions and outcomes in patients with GBM.
The UIT can guide NANDA-I Nursing Diagnoses to assist nurses in creating a nursing care plan for nursing engagement to decrease uncertainty and increase the quality of life in patients with GBM. Theory-driven research defines the application of the UIT in GBM and provides foundational knowledge for theory-driven practice to occur.
多形性胶质母细胞瘤 (GBM) 患者在疾病进程中面临不确定性,这降低了他们的生活质量。不确定性表现为 GBM 患者思维状态的改变,并增加了管理其诊断的负担。疾病不确定性理论 (UIT) 可用于指导护理实践并制定护理计划以减少这种不确定性。
UIT 和概念模型用于将 NANDA-I 护理诊断与 GBM 患者的护理计划配对。
采用逐步方法,将 UIT 中的概念进行组织并交叉映射到综合理论驱动的实践框架中,以增强护理计划。
UIT 有助于定义和识别患者经历疾病时的不确定性情况,护理诊断为基于不确定性的诊断提供了参与和结果。UIT 指导护理诊断的一些示例包括患者的认知水平指导急性混乱风险的护理诊断计划。社会支持可以指导孤独风险的护理计划,不确定性评估可以指导无效个体应对的护理计划。使用 UIT 指导理论驱动的实践将干预措施和 GBM 患者的结果联系起来。
UIT 可以指导 NANDA-I 护理诊断,帮助护士为护理参与制定护理计划,以减少不确定性并提高 GBM 患者的生活质量。理论驱动的研究定义了 UIT 在 GBM 中的应用,并为理论驱动的实践提供了基础知识。