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运用离散选择方法探究病房窗户设计对医院选择的影响。

Using Discrete Choice Methodology to Explore the Impact of Patient Room Window Design on Hospital Choice.

作者信息

Woo May, Jafarifiroozabadi Roxana, MacNaughton Piers, Mihandoust Sahar, Kennedy Sara, Joseph Anjali

机构信息

View Inc., Milpitas, CA, USA.

Clemson University, Clemson, SC, USA.

出版信息

J Patient Exp. 2022 Jun 15;9:23743735221107240. doi: 10.1177/23743735221107240. eCollection 2022.

DOI:10.1177/23743735221107240
PMID:35734469
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9208038/
Abstract

Evidence-based design has been fundamental to designing healthcare environments for patient outcomes and experience, yet few studies have studied how design factors drive patient choice. 652 patients who recently received care at hospitals across the United States were administered an online discrete choice survey to investigate the factors playing into their choice between hypothetical hospitals. Discrete choice models are widely used to model patient preferences among treatment alternatives, but few studies have utilized this approach to investigate healthcare design alternatives. In the current study, respondents were asked to choose between hypothetical hospitals that differed in patient room design, window features of the room, appointment availability, distance from home, insurance coverage, and HCAHPS ratings. The results demonstrate that patient room design that allowed unobscured access to daylight and views through windows, in-network insurance coverage, closer distance from home, and one-star higher patient experience rating increased the likelihood of a patient's hospital choice. The study broadly explores discrete choice model's applicability to healthcare design and its ability to quantify patient perceptions with a metric meaningful for hospital administrators.

摘要

循证设计对于为患者的治疗结果和体验设计医疗环境至关重要,但很少有研究探讨设计因素如何影响患者的选择。对652名近期在美国各地医院接受治疗的患者进行了一项在线离散选择调查,以研究影响他们在假设医院之间做出选择的因素。离散选择模型被广泛用于模拟患者在治疗方案之间的偏好,但很少有研究采用这种方法来研究医疗设计方案。在本研究中,受访者被要求在假设医院之间进行选择,这些医院在病房设计、房间窗户特征、预约便利性、离家距离、保险覆盖范围和医院患者医疗服务评估与系统(HCAHPS)评分等方面存在差异。结果表明,病房设计能够让患者不受遮挡地通过窗户获得自然采光和视野、网络内保险覆盖、离家更近的距离以及患者体验评分高一颗星,会增加患者选择该医院的可能性。该研究广泛探讨了离散选择模型在医疗设计中的适用性,以及它用对医院管理人员有意义的指标量化患者认知的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2fd/9208038/eefbac0aab0f/10.1177_23743735221107240-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2fd/9208038/eefbac0aab0f/10.1177_23743735221107240-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2fd/9208038/eefbac0aab0f/10.1177_23743735221107240-fig1.jpg

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本文引用的文献

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Int J Environ Res Public Health. 2021 Oct 12;18(20):10677. doi: 10.3390/ijerph182010677.
2
What Is The Value Of A Star When Choosing A Provider For Total Joint Replacement? A Discrete Choice Experiment.选择全膝关节置换术供应商时,星级的价值是什么?一项离散选择实验。
Health Aff (Millwood). 2021 Jan;40(1):138-145. doi: 10.1377/hlthaff.2020.00085.
3
Patient preferences for provider choice: a discrete choice experiment.
患者对医疗服务提供者选择的偏好:一项离散选择实验。
Am J Manag Care. 2020 Jul 1;26(7):e219-e224. doi: 10.37765/ajmc.2020.43761.
4
Design Models for Single Patient Rooms Tested for Patient Preferences.针对患者偏好进行测试的单人间设计模型。
HERD. 2021 Jan;14(1):31-46. doi: 10.1177/1937586720937995. Epub 2020 Jul 14.
5
The impact of hospital attributes on patient choice for first visit: evidence from a discrete choice experiment in Shanghai, China.医院属性对初次就诊患者选择的影响:来自中国上海离散选择实验的证据。
Health Policy Plan. 2020 Apr 1;35(3):267-278. doi: 10.1093/heapol/czz159.
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Are Healthcare Choices Predictable? The Impact of Discrete Choice Experiment Designs and Models.医疗保健选择是否可预测?离散选择实验设计和模型的影响。
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Discrete Choice Experiments in Health Economics: Past, Present and Future.健康经济学中的离散选择实验:过去、现在和未来。
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