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美国佛罗里达州亚人群中住院就诊的距离衰减的差异影响。

Differential effects of distance decay on hospital inpatient visits among subpopulations in Florida, USA.

机构信息

Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, 7500, The Netherlands.

International Initiative on Spatial Lifecourse Epidemiology (ISLE), Enschede, 7500, The Netherlands.

出版信息

Environ Monit Assess. 2019 Jun 28;191(Suppl 2):381. doi: 10.1007/s10661-019-7468-2.

Abstract

Understanding patients' travel behavior for seeking hospital care is fundamental for understanding healthcare market and planning for resource allocation. However, few studies examined the issue comprehensively across populations by geographical, demographic, and health insurance characteristics. Based on the 2011 State Inpatient Database in Florida, this study modeled patients' travel patterns for hospital inpatient care across geographic areas (by average affluence, urbanicity) and calendar seasons, and across subpopulations (by age, gender, race/ethnicity, and health insurance status). Overall, travel patterns for all subpopulations were best captured by the log-logistic function. Patients in more affluent areas and rural areas tended to travel longer for hospital inpatient care, so did the younger, whites, and privately insured. Longer travel distances may be a necessity for rural patients to cope with lack of accessibility for local hospital care, but for the other population groups, it may indicate rather better mobility and more healthcare choices. The results can be used in various healthcare analyses such as accessibility assessment, hospital service area delineation, and healthcare resource planning.

摘要

了解患者寻求医院护理的出行行为对于理解医疗保健市场和规划资源分配至关重要。然而,很少有研究从地理、人口统计学和医疗保险特征等方面全面研究这一问题。本研究基于佛罗里达州 2011 年的州住院数据库,对不同地理区域(按平均富裕程度和城市化程度划分)和日历季节以及不同亚人群(按年龄、性别、种族/族裔和医疗保险状况)的患者住院治疗的出行模式进行了建模。总体而言,所有亚人群的出行模式都最符合对数逻辑函数。较富裕地区和农村地区的患者在寻求医院住院治疗时往往需要走更长的路,较年轻、白人以及私人保险的患者也是如此。较长的旅行距离可能是农村患者为了应对当地医院护理可及性不足而必须采取的措施,但对于其他人群群体,这可能表明他们的流动性更好,医疗保健选择更多。研究结果可用于各种医疗保健分析,如可及性评估、医院服务区划定和医疗资源规划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad0e/6598965/44e78d3caca4/10661_2019_7468_Fig1_HTML.jpg

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