医疗服务质量不足的影响

P. Lee, P. Khong, D. Ghista
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引用次数: 62

摘要

目的-本文旨在从医疗保健服务质量对行业的负面影响的角度来看待医疗保健服务质量,当提供服务质量存在缺陷时。为了衡量这种影响,测量了由于服务质量差而导致的潜在客户损失。提出了一种潜在客户流失模型。为了解决竞争和财务驱动的医疗保健服务业务,一个三支柱的方法,称为优秀的医疗保健服务模式(EHSM),被引入。这种方法提倡医疗保健行业应该使用系统视图,通过综合考虑质量、成本和效率因素来提供高质量的医疗保健。设计/方法/方法-在本文中,使用调查问卷来收集必要的数据,以计算缺乏医疗保健服务的影响。问卷调查对象为400人,调查方法为截距访谈。计算了由于服务不足造成的客户损失和潜在客户损失。研究结果-在本文中,研究结果表明,在医疗保健行业,每100名客户体验到服务不足,约有70名客户不太可能再次光顾同一组织。此外,在经历过服务不足的100名顾客中,大约有75人平均会告诉9名家人和朋友他们的经历。通过这75个不满意的客户的口口相传,最终会有大约465人可能是潜在客户,但根据不满意的客户告诉他们的情况,他们可能根本不会光顾组织。实际意义-本文提出的观点通过服务不足的影响,提供了一种看待服务质量绩效的新方法。有了这些知识,低服务质量的经济影响可以很容易地量化,并且这种基于经济的结果通常是管理者和工人部署质量改进计划的更好动力。原创性/价值-本文提出的结果和想法对医疗保健行业很有价值。它提供了一种量化服务质量性能的替代方法。本文还提出了一种基于系统的方法来提高服务过程的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of deficient healthcare service quality
Purpose – This paper seeks to look at healthcare service quality from the viewpoint of its negative impact on the industry when there is a deficiency in the delivery of service quality. To measure this impact, the potential loss of customers due to poor quality service is measured. A potential customer loss model is proposed. To address the competitive and financially driven healthcare delivery business, a three‐pillar approach, termed the Excellent Healthcare Service Model (EHSM), is introduced. This approach advocates that the healthcare industry should use a system view to deliver quality healthcare by taking into account quality, cost, and efficiency factors in a holistic manner. Design/methodology/approach – In this paper a survey questionnaire was used to gather data necessary to compute impact of deficient healthcare service. The questionnaire was administered to a sample of 400 people and the survey method used was intercept interview. Customer loss and potential customer loss due to deficient service were computed. Findings – In this paper, findings from the research indicated that, in the healthcare industry, for every 100 customers that experienced deficient service, about 70 customers would be unlikely to patronize the same organization again. In addition, for the same 100 customers who have experienced deficient service, about 75 of them will go on to tell on average nine family members and friends about their experiences. Through word of mouth from these 75 dissatisfied customers, there will eventually be about 465 persons who might have been potential customers but will probably not patronize the organization at all based on what the dissatisfied customers have told them. Practical implications – The ideas presented in this paper provide a new way of looking at service quality performance, through the impact of deficient service. With this knowledge, economic impacts of poor service quality could easily be quantified, and such economic‐based results are usually a better motivator for managers and workers to deploy quality improvement initiatives. Originality/value – The results and ideas presented in this paper are valuable for the healthcare industry. It provides an alternative approach to quantify service quality performance. The paper also proposes a system‐based approach to enhance service process performance.
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