Algorithmic tools for interpreting vital signs.
Today's complex world of nursing practice challenges nurse educators to develop teaching methods that promote critical thinking skills and foster quick problem solving in the novice nurse. Traditional pedagogies previously used in the classroom and clinical setting are no longer adequate to prepare nursing students for entry into practice. In addition, educators have expressed frustration when encouraging students to apply newly learned theoretical content to direct the care of assigned patients in the clinical setting. This article presents algorithms as an innovative teaching strategy to guide novice student nurses in the interpretation and decision making related to vital sign assessment in an acute care setting.
Rathbun
Melina C
MC
Diabetes and Endocrinology Institute, University Community Hospital, Tampa, Florida, USA.
Ruth-Sahd
Lisa A
LA
D000465:Algorithms; D001291:Attitude of Health Personnel; D001794:Blood Pressure; D001831:Body Temperature; D002983:Clinical Competence; D003657:Decision Making; D004508:Education, Nursing, Baccalaureate / Q000379:methods*; D005181:Faculty, Nursing; D006801:Humans; D017145:Models, Educational; D016294:Models, Nursing; D008991:Monitoring, Physiologic / Q000379:methods / Q000451:nursing*; D009730:Nursing Assessment / Q000379:methods*; D015402:Nursing Education Research; D015404:Nursing Methodology Research; D010092:Oximetry; D010808:Physical Examination / Q000379:methods / Q000451:nursing*; D011340:Problem Solving; D011674:Pulse; D012016:Reference Values; D012119:Respiration; D013338:Students, Nursing / Q000523:psychology; D011795:Surveys and Questionnaires; D013850:Thinking