Mikyung Park, MS, RN, is a doctoral student and Gaeun Kim, PhD, RN, is Professor, Keimyung University College of Nursing, Daegu, Korea. Kyungwon Kim is a graduate student, Ford School of Public Policy, University of Michigan, Ann Arbor.
Adv Skin Wound Care. 2020 Mar;33(3):1-11. doi: 10.1097/01.ASW.0000653164.21235.27.
To conduct a meta-analysis of the literature on training programs that aimed to improve nurses' pressure injury management skills.
Literature searches were conducted using Ovid-MEDLINE, Cochrane Library, CINAHL, and Korean databases. The search terms used were: (nurse* AND ((pressure OR decubitus) AND (ulcer* OR injur*)) OR bed sore OR bedsore OR decubitus) AND (program* OR training)). Random-effects models were used to calculate the standardized mean difference and odds ratios, with 95% confidence intervals (CIs) to analyze the effects.
Initial searches yielded 1,067 studies. Of these, 23 met the selection criteria. Nurses' knowledge (standard mean difference, 1.23; 95% CI, 0.50-1.96; P < .001), visual discrimination ability (standard mean difference, 1.13; 95% CI, 0.88-1.38; P < .001), and clinical judgment (odds ratio, 1.52; 95% CI, 1.46-1.57; P < .001) improved after the programs.
Pressure injury training programs can improve nurses' competency. The results from this study indicate that such programs may help improve nurses' knowledge, visual discrimination ability, and clinical judgment and can be considered continuing education programs. However, large-scale studies are needed to confirm this conclusion.
对旨在提高护士压力性损伤管理技能的培训计划文献进行荟萃分析。
使用 Ovid-MEDLINE、Cochrane 图书馆、CINAHL 和韩国数据库进行文献检索。使用的检索词为：（nurse* AND ((pressure OR decubitus) AND (ulcer* OR injur*)) OR bed sore OR bedsore OR decubitus) AND (program* OR training)）。使用随机效应模型计算标准化均数差和优势比，并计算 95%置信区间（CI）以分析效果。
最初的搜索产生了 1067 项研究。其中，23 项符合入选标准。护士的知识（标准化均数差，1.23；95%CI，0.50-1.96；P <.001）、视觉辨别能力（标准化均数差，1.13；95%CI，0.88-1.38；P <.001）和临床判断（优势比，1.52；95%CI，1.46-1.57；P <.001）在计划实施后得到了提高。
压力性损伤培训计划可以提高护士的能力。本研究结果表明，此类计划可能有助于提高护士的知识、视觉辨别能力和临床判断能力，可考虑作为继续教育计划。然而，需要进行大规模研究来证实这一结论。
