The Impact of Educational Programme on Knowledge and Practice of Nurses regarding Prevention of Surgical Site Infection In Khartoum State

Abstract

Background: It is important to predict wound healing of chronic ulcer, however the tool to predict wound healing of diabetic ulcer is still lacking. We established a tool to predict the wound healing, namely DMIST (Deep, Moisture, Infection/Inflammation, Size, Tissue Type of wound bed, Type of wound edge, and Tunnelling). However, the predictive validity of DMIST is still unclear.

Purpose: The purpose of this study was to evaluate whether the total scores from DMIST scale could predict diabetic ulcer healing.

Methods: The design of this study was a prospective cohort study.  Thirty-three diabetic ulcer patients were recruited from the Kitamura Wound Clinic in Pontianak, Indonesia. Data collection included DMIST tool, demographic information, Wagner wound classification, status of neuropathic, Ankle Brachial Index, HbA1c, and photographs. Using the DMIST scale, the scored was recorded every seven days until patients healed or discharged.

Results: The study showed that The DMIST scale has high sensitivity (90%) and specificity (96%). The area under the receiver operating characteristic curve was 0.98 (95% CI: 0.856 to 1.000).

Conclusion: Our study showed that DMIST scale was found to be a valid assessment scale to identify wound healing time over a period of 12 weeks in diabetic ulcer patients.