Teaching symptom management of HIV/AIDS using algorithms.
Management of patients infected with the human immunodeficiency virus (HIV) or with acquired immunodeficiency syndrome (AIDS) presents a complex set of challenges to the health-care professional, especially in the area of patient education. Lack of resources, time constraints, and/or patients' willingness to learn about the disease are all factors that can impact the teaching/learning process. Creative and effective teaching strategies must be implemented so that adequate information and support is provided to the patient and/or the caregiver. Algorithms were developed for the patient and/or caregiver to use as a quick reference for decision making regarding symptom management of common manifestations of HIV/AIDS.
Lietzau
J
J
National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
D000465:Algorithms; D003663:Decision Trees; D015658:HIV Infections / Q000150:complications* / Q000451:nursing / Q000503:physiopathology / Q000517:prevention & control*; D006801:Humans; D015403:Nursing Evaluation Research; D010353:Patient Education as Topic / Q000379:methods*; D010865:Pilot Projects; D011795:Surveys and Questionnaires