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优先考虑医疗保健部门服务质量的促成因素 - 一种 DEMATEL 方法。

Prioritizing enablers for service quality in healthcare sector - a DEMATEL approach.

机构信息

School of Management, The Northcap University, Gurugram, India.

The Northcap University, Gurugram, India.

出版信息

J Health Organ Manag. 2022 Mar 8;ahead-of-print(ahead-of-print). doi: 10.1108/JHOM-06-2021-0222.

DOI:10.1108/JHOM-06-2021-0222
PMID:35255202
Abstract

PURPOSE

The Healthcare sector is one of the important sectors of the Service Industry. It is believed that in this sector, the customer server relationship is very critical, and even the slightest gap in the people quality may have a huge impact on the delivered service quality. Some of these enablers are doctors, nursing staff and support staff. Furthermore, the nonpeople quality enablers such as diagnostic services, facilities, hygiene levels and so on are also likely to impact the delivered service quality. It was also felt that the degree of impact each enabler has on the service quality could vary. Therefore there is a need for structured and deep analysis. The paper attempts to identify, analyze and prioritize the enablers that impact the delivered service quality.

DESIGN/METHODOLOGY/APPROACH: The enablers have been identified through literature review and inputs from experts in the healthcare fraternity. The authors have explored different decision-making tools such as analytic hierarchy process (AHP), analytic network process (ANP), stepwise weight assessment ratio analysis, Hybrid Model and DEMATEL (Decision-Making Trial and Evaluation Laboratory) for the analysis of data in this paper. Based on the strengths of the approach and careful considerations by focus group discussions, DEMATEL was chosen as the best option. It is simple, unique, sparingly used in the healthcare sector, effective in prioritizing and gives meaningful insights on importance, cause and effect factors. DEMATEL approach converts the complex problem with interrelated factors into a clear structure that makes simple interrelationships among factors in the form of cause and effects digraph, and hence, the authors chose to use it. A case study in one of the hospitals has also been conducted to demonstrate the applicability of the developed index. The case study very strongly validates the developed index.

FINDINGS

This research paper has found that there are people quality enablers such as the doctor, nursing staff, support staff and nonpeople quality enablers such as facilities, diagnostic services and hygiene levels maintenance, which impact the delivered service quality. It also concludes that the delivered service quality depends not only on the quality but also on the availability of these enablers. The inputs received from the experts have been run through the DEMATEL methodology and importance computed for each. The top five priority enablers are Quality of Doctor, Availability of Doctor, Quality of Support Staff, Quality of Nursing Staff and Availability of Support Staff.

RESEARCH LIMITATIONS/IMPLICATIONS: The weights of the enablers have been obtained using the DEMATEL tool. These weights have been calculated using the inputs from 22 experts, which meets the statistical requirement (Skulmoski, 2007). However, a larger group of experts can be reached, and based on the inputs received from them, the tool can be revalidated for repeatability and reproducibility. Using Fuzzy DEMATEL can also be explored for further analysis.

PRACTICAL IMPLICATIONS

The proposed framework to assess the service quality level of a healthcare organization is based on a sound approach of DEMATEL. The service index arrived, thereafter, can be used to rate the delivered service quality by any healthcare organization. It can be used to compare the similar type of healthcare organizations across locations. This Index can facilitate improvements in the healthcare organization through internal and external benchmarking. It also helps the organization to know the gaps, understand the root cause, improve upon them and become the best in class. This Index uses the inputs from the end customers to calculate the rating, which makes it more reliable and accurate. The overall scores obtained from the Index can provide the ranking to the healthcare providing organizations and options to customers to choose from best. The service quality index can be used by an organization to continuously monitor their delivered service quality scores and improve them to become the best in class. The research paper highlights the significant role played by the people quality and its strong impact/contribution on the delivered service quality. Hence, it is believed that it will encourage the healthcare organizations to prioritize the improvement and upgrade of the people quality over the nonpeople quality aspect.

ORIGINALITY/VALUE: Putting people and nonpeople quality enablers in one single model and assigning weights to them using the DEMATEL approach is a new application in healthcare. Developing an Index to measure the delivered service quality in the healthcare sector is also different and new.

摘要

目的

医疗保健行业是服务业的重要组成部分之一。人们认为,在这个行业中,客户服务关系非常关键,人员素质的哪怕最微小差距也可能对所提供服务质量产生巨大影响。其中一些促成因素是医生、护理人员和支持人员。此外,非人员素质促成因素,如诊断服务、设施、卫生水平等,也可能对所提供服务质量产生影响。人们还认为,每个促成因素对服务质量的影响程度可能有所不同。因此,需要进行结构化和深入的分析。本文试图确定、分析和优先考虑影响所提供服务质量的促成因素。

设计/方法/途径:通过文献回顾和医疗保健界专家的意见,确定了促成因素。作者探索了不同的决策工具,如层次分析法(AHP)、网络分析法(ANP)、逐步权重评估比率分析法、混合模型和决策试验和评价实验室(DEMATEL),以分析本文中的数据。基于方法的优势和焦点小组讨论的仔细考虑,选择 DEMATEL 作为最佳选择。它简单、独特、在医疗保健领域使用较少、有效进行优先级排序,并提供关于重要性、因果因素的有意义见解。DEMATEL 方法将具有相互关联因素的复杂问题转化为清晰的结构,以因果关系图的形式简单地表示因素之间的相互关系,因此,作者选择使用它。还对一家医院进行了案例研究,以展示开发指数的适用性。案例研究非常有力地验证了开发指数。

发现

本研究论文发现,存在人员素质促成因素,如医生、护理人员、支持人员,以及非人员素质促成因素,如设施、诊断服务和卫生水平维护,这些因素会影响所提供服务质量。它还得出结论,所提供服务质量不仅取决于质量,还取决于这些促成因素的可用性。从专家那里收到的投入已经通过 DEMATEL 方法运行,并计算了每个投入的重要性。五个优先促成因素是医生的质量、医生的可用性、支持人员的质量、护理人员的质量和支持人员的可用性。

研究局限性/影响:使用 DEMATEL 工具获得了促成因素的权重。这些权重是使用 22 名专家的投入计算得出的,满足统计学要求(Skulmoski,2007)。然而,可以联系到更多的专家组,并根据他们提供的投入,重新验证该工具的可重复性和再现性。还可以探索使用模糊 DEMATEL 进行进一步分析。

实际意义

评估医疗保健组织服务质量水平的建议框架是基于稳健的 DEMATEL 方法。此后,可以使用所提出的服务指数来衡量任何医疗保健组织所提供的服务质量。它可以用于比较不同地点的类似类型的医疗保健组织。该指数可以通过内部和外部基准测试来帮助医疗保健组织进行改进。它还有助于组织了解差距、理解根本原因、改进并成为同类最佳。该指数使用最终客户的投入来计算评级,这使其更加可靠和准确。从指数中获得的总体分数可以为医疗保健提供者组织提供排名,并为客户提供最佳选择。服务质量指数可用于组织持续监控其所提供服务质量分数,并努力成为同类最佳。研究论文强调了人员素质所扮演的重要角色及其对所提供服务质量的强烈影响/贡献。因此,人们认为这将鼓励医疗保健组织优先考虑提高和升级人员素质,而不是非人员素质方面。

原创性/价值:将人员素质和非人员素质促成因素纳入一个单一模型,并使用 DEMATEL 方法为它们分配权重,这是医疗保健领域的新应用。开发一种用于衡量医疗保健部门所提供服务质量的指数也是不同的和新的。

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