Two hundred-and-four (204) RNs associated with an urban university participated. Following a brief introduction, participants were asked to rate 11 components pervading the algorithms, apply them to a variety of acute and chronic wounds (N=15), and comment on the research process and algorithm structure and processes. The majority of the participants (n=180) were women, practicing in acute care settings (n=146). Participant average age was 34.8 years (S.D. 11.95). The Content Validity Index (CVI) of all 11 components was strong (CVI ≥ 0.96). Percent correct analysis demonstrated that 71-98% of nurses selected the correct (primary) or appropriate but not entirely correct (secondary) algorithm and correct dressing selection occurred for 75-91% of the 15 wounds. Correct algorithm and dressing selection percents were lower for wounds with necrotic tissue. Intra-rater reliability (two sets of wounds) was modest but unexpectedly higher for necrotic wounds. Participant wound assessment insecurity was a common qualitative theme.
Results support that these algorithms have face and content validity, facilitate the provision of optimal care with diverse wound types (construct validity), and confirm that wound education improvements for RNs are critically needed.