Advancing the science of symptom management

苦恼 心理干预 整体管理 多样性(控制论) 梅德林 心理学 医学 护理部 医疗保健 临床心理学 经济增长 生物 计算机科学 生态学 人工智能 经济 法学 政治学
作者
Marylin J. Dodd,Susan Janson,Noreen C. Facione,Julia Faucett,Erika Sivarajan Froelicher,Janice Humphreys,Kathryn Lee,Christine Miaskowski,Kathleen Puntillo,Sally H. Rankin,Diana Taylor
出处
期刊:Journal of Advanced Nursing [Wiley]
卷期号:33 (5): 668-676 被引量:997
标识
DOI:10.1046/j.1365-2648.2001.01697.x
摘要

Advancing the science of symptom management Abstract. Since the publication of the original Symptom Management Model ( Larson et al . 1994 ), faculty and students at the University of California, San Francisco (UCSF) School of Nursing Centre for System Management have tested this model in research studies and expanded the model through collegial discussions and seminars. Aim. In this paper, we describe the evidence‐based revised conceptual model, the three dimensions of the model, and the areas where further research is needed. Background/Rationale. The experience of symptoms, minor to severe, prompts millions of patients to visit their healthcare providers each year. Symptoms not only create distress, but also disrupt social functioning. The management of symptoms and their resulting outcomes often become the responsibility of the patient and his or her family members. Healthcare providers have difficulty developing symptom management strategies that can be applied across acute and home‐care settings because few models of symptom management have been tested empirically. To date, the majority of research on symptoms was directed toward studying a single symptom, such as pain or fatigue, or toward evaluating associated symptoms, such as depression and sleep disturbance. While this approach has advanced our understanding of some symptoms, we offer a generic symptom management model to provide direction for selecting clinical interventions, informing research, and bridging an array of symptoms associated with a variety of diseases and conditions. Finally, a broadly‐based symptom management model allows the integration of science from other fields.
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