van Rijswijk Lia
Lia van Rijswijk, DNP, RN, CWCN, Associate Dean, Undergraduate Programs, Thomas Edison State University, W. Cary Edwards School of Nursing, and Clinical Editor, Wound Management and Prevention, Newtown, Pennsylvania.
J Wound Ostomy Continence Nurs. 2019 Mar/Apr;46(2):90-97. doi: 10.1097/WON.0000000000000515.
The purpose of this descriptive study was to evaluate use of a previously validated, online, interactive wound assessment and wound care clinical pathway in a group of RNs. Specific aims were to (a) evaluate the proportions of correct, partially correct, and incorrect algorithmic decisions and dressing selections, (b) compare response rates between nurses who are and who are not wound care certified, and (c) evaluate its ease of use, educational value, and applicability in clinical practice.
Descriptive study.
Participants were recruited using convenience and snowball sampling methods. Four hundred eighteen nurses completed all 15 assessments; nearly half held a bachelors' degree in nursing (189, 45%), more than two-thirds worked in an inpatient acute care settings (277, 68%), and 293 (70%) were not certified in wound care.
After providing written informed consent and completing the participant demographics form, participants assessed 15 photographs of wounds with accompanying moisture descriptions and completed an algorithm and dressing selection for each. All responses were anonymously collected by the program. Existing, retrospective, program data were also downloaded and data from nurses who completed all assessments were extracted and analyzed. Descriptive statistics were used to analyze all variables. Selection outcomes and survey responses between nurses who were and who were not wound care certified were compared using a 2-sample Student t test assuming unequal variances. Individual responses for the first 6 wounds were compared to the last 6 wounds using a paired t test.
The mean (M) proportions of fully or partially correct (operationally defined as safe but not fully correct) algorithm and dressing choice were 81% (SE: 0.88, 95% confidence level: 1.73) and 78.1% (SE: 0.70, 95% confidence level: 1.39), respectively. Wound care-certified nurses had higher mean algorithm scores than those who were not certified (M: 89.2%, SE: 1.27 vs M: 77.8%, SE: 1.10, P < .001). Most incorrect/partially correct choices were attributable to incorrect necrotic tissue assessment (n = 845, 58%). The difference between fully correct first 6 and last 6 algorithm choices was statistically significant (M: 310, SE: 0.02 vs M: 337, SE: 9.32, P = .04). On a Likert scale of 1 (not at all) to 5 (very), average scores for ease of program and algorithm use, educational value, and usefulness for clinicians ranged from M: 4.14, SE: 0.08 to M: 4.22, SE: 0.08.
Results suggest that the algorithm is valid and has potential educational value. Initial evaluation also suggests that program refinements are needed. Evaluation of participant responses indicated potential problems with the definitions used for necrotic tissue or assessment knowledge deficits. Results also substantiate the importance of instructional design and testing online education programs. More research is needed to uncover potential gaps in nurses' wound care knowledge that may hamper evidence-based practices adoption and the need to develop effective, evidence-based education-delivery techniques.
本描述性研究旨在评估一组注册护士(RN)对先前验证过的在线交互式伤口评估及伤口护理临床路径的使用情况。具体目标为:(a)评估算法决策和敷料选择正确、部分正确及错误的比例;(b)比较获得伤口护理认证的护士与未获认证护士的回应率;(c)评估其易用性、教育价值及在临床实践中的适用性。
描述性研究。
采用便利抽样和滚雪球抽样方法招募参与者。418名护士完成了全部15项评估;近半数拥有护理学学士学位(189名,45%),超过三分之二在住院急性护理环境中工作(277名,68%),293名(70%)未获得伤口护理认证。
在提供书面知情同意书并填写参与者人口统计学表格后,参与者对15张带有湿度描述的伤口照片进行评估,并为每个伤口完成算法及敷料选择。所有回复均由该程序匿名收集。还下载了现有的回顾性程序数据,并提取和分析了完成所有评估的护士的数据。使用描述性统计分析所有变量。采用假设方差不等的双样本学生t检验,比较获得伤口护理认证的护士与未获认证护士的选择结果及调查回复。使用配对t检验比较前6个伤口与后6个伤口的个体回复。
算法和敷料选择完全或部分正确(操作定义为安全但不完全正确)的平均比例分别为81%(标准误:0.88,95%置信水平:1.73)和78.1%(标准误:0.70,95%置信水平:1.39)。获得伤口护理认证的护士的算法平均得分高于未获认证的护士(均值:89.2%,标准误:1.27 对比 均值:77.8%,标准误:1.10,P < .001)。大多数错误/部分正确的选择归因于坏死组织评估错误(n = 845,58%)。前6个和后6个算法选择完全正确之间的差异具有统计学意义(均值:310,标准误:0.02 对比 均值:337,标准误:9.32,P = .04)。在1(完全不)至5(非常)的李克特量表上,该程序和算法的易用性、教育价值以及对临床医生的有用性的平均得分范围为均值:4.14,标准误:0.08至均值:4.22,标准误:0.08。
结果表明该算法有效且具有潜在教育价值。初步评估还表明需要对该程序进行改进。对参与者回复的评估表明坏死组织定义或评估知识缺陷方面存在潜在问题。结果还证实了教学设计和在线教育项目测试的重要性。需要更多研究来揭示护士伤口护理知识中可能阻碍循证实践采用的潜在差距,以及开发有效的循证教育交付技术的必要性。