Suhonen Riitta, Lahtinen Katja, Stolt Minna, Pasanen Miko, Lemetti Terhi
Department of Nursing Science, University of Turku, 20014 Turku, Finland.
Turku University Hospital, 20014 Turku, Finland.
J Pers Med. 2021 Jun 21;11(6):583. doi: 10.3390/jpm11060583.
Patient-centredness in care is a core healthcare value and an effective healthcare delivery design requiring specific nurse competences. The aim of this study was to assess (1) the reliability, validity, and sensitivity of the Finnish version of the Patient-centred Care Competency (PCC) scale and (2) Finnish nurses' self-assessed level of patient-centred care competency. The PCC was translated to Finnish (PCC-Fin) before data collection and analyses: descriptive statistics; Cronbach's alpha coefficients; item analysis; exploratory and confirmatory factor analyses; inter-scale correlational analysis; and sensitivity. Cronbach's alpha coefficients were acceptable, high for the total scale, and satisfactory for the four sub-scales. Item analysis supported the internal homogeneity of the items-to-total and inter-items within the sub-scales. Explorative factor analysis suggested a three-factor solution, but the confirmatory factor analysis confirmed the four-factor structure (Tucker-Lewis index (TLI) 0.92, goodness-of-fit index (GFI) 0.99, root mean square error of approximation (RMSEA) 0.065, standardized root mean square residual (SRMR) 0.045) with 61.2% explained variance. Analysis of the secondary data detected no differences in nurses' self-evaluations of contextual competence, so the inter-scale correlations were high. The PCC-Fin was found to be a reliable and valid instrument for the measurement of nurses' patient-centred care competence. Rasch model analysis would provide some further information about the item level functioning within the instrument.
以患者为中心的护理是一项核心医疗保健价值,也是一种有效的医疗服务提供模式,需要护士具备特定的能力。本研究的目的是评估:(1)芬兰语版患者中心护理能力(PCC)量表的信度、效度和敏感性;(2)芬兰护士自我评估的以患者为中心的护理能力水平。在进行数据收集和分析之前,将PCC翻译成芬兰语(PCC-Fin):描述性统计;克朗巴哈系数;项目分析;探索性和验证性因素分析;量表间相关性分析;以及敏感性分析。克朗巴哈系数是可接受的,总量表的系数较高,四个子量表的系数令人满意。项目分析支持了子量表中项目与总量表以及项目之间的内部同质性。探索性因素分析提出了一个三因素解决方案,但验证性因素分析证实了四因素结构(塔克-刘易斯指数(TLI)0.92,拟合优度指数(GFI)0.99,近似均方根误差(RMSEA)0.065,标准化均方根残差(SRMR)0.045),解释方差为61.2%。对二次数据的分析未发现护士对情境能力的自我评估存在差异,因此量表间相关性较高。发现PCC-Fin是一种可靠且有效的工具,可用于测量护士以患者为中心的护理能力。拉施模型分析将为该工具内项目水平的功能提供一些进一步的信息。