民族关怀模型预测患者满意度:它有多强大?

Novian Mahayu Adiutama, Wardah Fauziah
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引用次数: 0

摘要

导言:关怀是获得患者满意的最重要因素。然而,目前的关怀只被认为是同理心,没有考虑到病人的文化背景。本研究旨在探讨多元文化地区患者对护理服务的满意度,并以民族关怀模型作为预测因子。方法:采用横断面研究方法,对苏邦区某护理机构135例患者进行连续抽样调查。以维持信念(MB)、文化关怀保存(CP)、知道(KN)、与(BW)、协商(NE)、为(DF)、使能(EN)和重组(RE)为自变量,以患者满意度(PS)为因变量。所使用的仪器是根据ethnocaring模型和PSQ-18开发的。多元线性回归分析了民族关怀模型作为患者满意度预测因子的能力。结果:患者满意度平均得分为14.42分(评分区间为0 ~ 18)。各变量的p值如下:MB (0.021);CP (0.032);KN (0.015);BW (0.038);NE (0.026);DF (0.033);在(0.043);RE (0.034);均能显著预测PS, R-Square = 0.815。结论:民族关怀模型预测患者满意度的强度为81.5%。民族关怀模型的构建有助于护士了解患者满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ethnocaring Model in Predicting Patient Satisfaction: How Powerful Is It?
Introduction: Caring is the most important to get patient satisfaction. However, currently caring is only considered as empathy without regard to the patient's cultural background. This study aims to investigate patient satisfaction regarding nursing services in a multicultural area by using the ethnocaring model as a predictor. Methods: A cross-sectional study was conducted on patients in a nursing service in Subang District (n = 135 using consecutive sampling). Maintaining beliefs (MB), culture care preservation (CP), knowing (KN), being with (BW), negotiating (NE), doing for (DF), enabling (EN), and restructuring (RE) are used as independent variables, and patient satisfaction (PS) as the dependent variable. The instrument used was developed in accordance with ethnocaring model and PSQ-18. Multiple linear regression was used to analyze the ability of the ethnocaring model as a predictor of patient satisfaction. Results: The results showed that patient satisfaction had a mean score of 14.42 (score interval = 0-18). The following are the p-values for each variable: MB (0.021); CP (0.032); KN (0.015); BW (0.038); NE (0.026); DF (0.033); EN (0.043); and RE (0.034); they can all significantly predict PS with R-Square = 0.815. Conclusion: The strength of the ethnocaring model in predicting patient satisfaction was 81.5%. The construct of ethnocaring model could help nurses in understanding patient satisfaction.
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