Cunha Diequison Rite da, Salomé Geraldo Magela, Massahud Marcelo Renato, Mendes Bruno, Ferreira Lydia Masako
MSc, Adjunct Professor, Phisiotherapy Department, Centro Universitário de Formiga , Formiga, MG, Brasil.
PhD, Associate Professor, Universidade do Vale do Sapucaí, Pouso Alegre, MG, Brazil.
Rev Lat Am Enfermagem. 2017 Dec 4;25:e2955. doi: 10.1590/1518-8345.1998.2955.
To develop and validate an algorithm for laser wound therapy.
Methodological study and literature review. For the development of the algorithm, a review was performed in the Health Sciences databases of the past ten years. The algorithm evaluation was performed by 24 participants, nurses, physiotherapists, and physicians. For data analysis, the Cronbach's alpha coefficient and the chi-square test for independence was used. The level of significance of the statistical test was established at 5% (p<0.05).
The professionals' responses regarding the facility to read the algorithm indicated: 41.70%, great; 41.70%, good; 16.70%, regular. With regard the algorithm being sufficient for supporting decisions related to wound evaluation and wound cleaning, 87.5% said yes to both questions. Regarding the participants' opinion that the algorithm contained enough information to support their decision regarding the choice of laser parameters, 91.7% said yes. The questionnaire presented reliability using the Cronbach's alpha coefficient test (α = 0.962).
The developed and validated algorithm showed reliability for evaluation, wound cleaning, and use of laser therapy in wounds.
开发并验证一种用于激光伤口治疗的算法。
方法学研究与文献综述。为开发该算法,对健康科学数据库中过去十年的资料进行了回顾。算法评估由24名参与者进行,包括护士、物理治疗师和医生。数据分析采用克朗巴哈α系数和独立性卡方检验。统计检验的显著性水平设定为5%(p<0.05)。
专业人员对算法易读性的反馈表明:41.70%认为很好;41.70%认为良好;16.70%认为一般。对于该算法足以支持伤口评估和伤口清洁相关决策这一点,87.5%对两个问题都给予肯定回答。关于参与者认为算法包含足够信息以支持其选择激光参数的决策这一观点,91.7%给予肯定回答。通过克朗巴哈α系数检验,问卷显示出可靠性(α = 0.962)。
所开发并验证的算法在伤口评估、伤口清洁以及激光治疗应用方面显示出可靠性。