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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 experi-encing 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.
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Table 1.
General Characteristics of Participants (N=61)
Table 2.
Differences of Means between Importance and Performance (N=10)
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