Adaptation of evidence-based surgical wound care algorithm.
OBJECTIVE
This study was designed to adapt a surgical wound care algorithm that is used to provide evidence-based surgical wound care in a critical care unit.


METHODS
This study used, the 'ADAPTE process', an international clinical practice guideline development method. The 'Bonnie Sue wound care algorithm' was used as a draft for the new algorithm. A content validity index (CVI) targeting 135 critical care nurses was conducted. A 5-point Likert scale was applied to the CVI test using a statistical criterion of .75.


RESULTS
A surgical wound care algorithm comprised 9 components: wound assessment, infection control, necrotic tissue management, wound classification by exudates and depths, dressing selection, consideration of systemic factors, wound expected outcome, reevaluate non-healing wounds, and special treatment for non-healing wounds. All of the CVI tests were ≥.75. Compared to existing wound care guidelines, the new wound care algorithm provides precise wound assessment, reliabilities of wound care, expands applicability of wound care to critically ill patients, and provides evidence and strength of recommendations.


CONCLUSIONS
The new surgical wound care algorithm will contribute to the advancement of evidence-based nursing care, and its use is expected as a nursing intervention in critical care.
Department of Biobehavioral Nursing Science, Seoul National University, 28 Yengeon-dong, Seoul, Korea.
Jung Yeon
JY
Han
Smi
S
Choi-Kwon
D000465:Algorithms; D016638:Critical Illness / Q000451:nursing; D055318:Evidence-Based Nursing; D006801:Humans; D007362:Intensive Care Units; D017410:Practice Guidelines as Topic; D014947:Wounds and Injuries / Q000628:therapy*