A GIS software-based method to identify public health data belonging to address-defined communities.

IF 4.7 2区医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of the American Medical Informatics Association Pub Date : 2024-11-01 DOI:10.1093/jamia/ocae235

Amanda M Lam, Mariana C Singletary, Theresa Cullen

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引用次数: 0

Abstract

Objective: This communication presents the results of defining a tribal health jurisdiction by a combination of tribal affiliation (TA) and case address.

Materials and methods: Through a county-tribal partnership, Geographic Information System (GIS) software and custom code were used to extract tribal data from county data by identifying reservation addresses in county extracts of COVID-19 case records from December 30, 2019, to December 31, 2022 (n = 374 653) and COVID-19 vaccination records from December 1, 2020, to April 18, 2023 (n = 2 355 058).

Results: The tool identified 1.91 times as many case records and 3.76 times as many vaccination records as filtering by TA alone.

Discussion and conclusion: This method of identifying communities by patient address, in combination with TA and enrollment, can help tribal health jurisdictions attain equitable access to public health data, when done in partnership with a data sharing agreement. This methodology has potential applications for other populations underrepresented in public health and clinical research.

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一种基于地理信息系统软件的方法，用于识别属于地址定义社区的公共卫生数据。

目的本通报介绍了通过部落隶属关系和病例地址组合定义部落卫生管辖区的结果：通过县与部落合作，使用 GIS 软件和自定义代码从县数据中提取部落数据，方法是在县提取的 2019 年 12 月 30 日至 2022 年 12 月 31 日的 COVID-19 病例记录（n = 374,653 个）和 2020 年 12 月 1 日至 2023 年 4 月 18 日的 COVID-19 疫苗接种记录（n = 2,355,058 个）中识别保留地地址：结果：该工具识别出的病例记录和疫苗接种记录分别是通过部落隶属关系筛选出的病例记录和疫苗接种记录的 1.91 倍和 3.76 倍：这种通过患者地址识别社区的方法与部落隶属关系和注册情况相结合，如果与数据共享协议合作，可以帮助部落卫生辖区公平地获取公共卫生数据。这种方法还有可能应用于其他在公共卫生和临床研究中代表性不足的人群。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of the American Medical Informatics Association 医学-计算机：跨学科应用

CiteScore

14.50

自引率

7.80%

发文量

230

审稿时长

3-8 weeks

期刊介绍： JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.