|
|
|
|
이윤정 ( Lee Yoon-Jeong ) - 경희대학교 일반대학원
이지아 ( Lee Ji-A ) - 경희대학교 간호과학대학
|
|
Abstract
|
|
|
|
|
Purpose: Although post-stroke sensory disorder is different from post-stroke pain, it is often considered as central pain or overlooked in the clinical field. The purposes of this study were to develop the nursing algorithm for stroke patients with sensory disorder and examine its effect.
Methods: The study used a methodological design to develop the nursing algorithm and a pretest-posttest design to examine its effect in stroke patients. The algorithm was developed through the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation) using systematic review, expert panel interview, and patient interview. The algorithm was applied to 51 ischemic stroke patients experiencing sensory disorder at subacute stage by 10 nurses in a university hospital in Seoul city, Korea.
Results: The contents of the algorithm included inclusion and exclusion criteria for relevant patients, assessment tool developed in this study, and the intervention (non-pharmacological and pharmacological) process based on the assessment results. The assessment tool and the intervention process had acceptable inter-rater reliability with Cohen's Kappa .82 and .94, respectively. The scores of sensory disorder decreased from 2.71 to 0.51 with the algorithm application in 51 patients.
Conclusion: The nursing algorithm for sensory disorder in stroke patients improved the symptoms and can be used conveniently by clinical nurses. Using this algorithm, nurses can provide relevant care for stroke patients with stiff, cool, obtuse, or vibrating sensors that cause insomnia, anorexia, and physical functional decline.
|
|
|
KeyWords
|
|
뇌졸중, 감각 이상, 간호, 알고리즘
Stroke, Sensation disorders, Nursing, Algorithms
|
|
|
원문 및 링크아웃 정보
|
|
|
|
|
등재저널 정보
|
|
 
|
|
|
|
|