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Identifying key drivers of patient satisfaction in dental service

机译:识别牙科服务中患者满意度的关键驱动因素

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摘要

This study presents a novel method for investigating the service quality of dental care and identifying the key drivers of patient satisfaction. Dental service quality was examined by combining use of Donabedian's and Kano's models. Thirty one service attributes were investigated and divided into structure, process and outcome aspects based on the framework of Donabedian. The key drivers of patient satisfaction or dissatisfaction with a dental service were clarified using a specially designed questionnaire based on the perspective of Kano's model. The sample comprised 400 adults at a Taiwan hospital. While investigating 31 service attributes, based on the perspective of Kano model, 12 attributes were classified as must be factors, which could be considered key drivers of patient satisfaction; 15 attributes were classified as attractive factors; and another four attributes were classified as one-dimensional factors. This investigation proposed a heuristic interpretation of the priority for improving service attributes. The patient satisfaction (PS) coefficient and patient perceived satisfaction level represented the rank-order of patient requirements. The analytical results showed that hospital administrators should focus on improving the service attributes with lower satisfaction level, particularly those with high PS coefficient absolution value.
机译:本研究提出了一种研究牙科护理服务质量的新方法,并确定患者满意度的关键驱动因素。通过组合唐莎德和卡诺的模型来检查牙科服务质量。基于唐氏县的框架,调查了三十台服务属性并分为结构,过程和结果方面。利用基于Kano模型的角度,使用专门设计的问卷阐明了患者满意度或对牙科服务不满的关键驱动因素。该样品在台湾医院组成了400名成人。在调查31服务属性的同时,基于Kano模型的角度,12个属性被归类为必须是因素,这可能被视为患者满意度的关键驱动因素; 15个属性被归类为有吸引力的因素;另外四个属性被归类为一维因素。本调查提出了对改进服务属性的优先级的启发式解释。患者满意度(PS)系数和患者感知的满意度级别代表患者要求的等级阶数。分析结果表明,医院管理人员应专注于改善满意度较低的服务属性,特别是具有高PS系数散射值的服务属性。

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