Using Geographic Information Systems (GIS) for Targeted National Recruitment of Community-Dwelling Caregivers Managing Dementia-Related Behavioral and Psychological Symptoms: A Recruitment Approach for a Randomized Clinical Trial.
Using Geographic Information Systems (GIS) for Targeted National Recruitment of Community-Dwelling Caregivers Managing Dementia-Related Behavioral and Psychological Symptoms: A Recruitment Approach for a Randomized Clinical Trial.
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DOI：
10.4236/jgis.2021.133017
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
Gitlin LN
中科院分区：
文献类型：
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作者：
Scerpella DL;Bouranis NG;Webster MJ;Dellapina M;Koeuth S;Parker LJ;Kales HC;Gitlin LN
超过1600万痴呆症患者的护理人员需要在一系列问题上获得支持，包括自我护理，疾病教育以及如何管理痴呆症（BPSD）的行为和心理症状的指导。需要非药物干预来解决这些问题，在线应用已被证明是安全有效的。为了确保这些干预措施的有效性，必须招募种族，民族，地理和社会经济多样化的参与者，以增加研究结果的普遍性。本方案文件描述了一项招募计划，该计划使用地理信息系统（GIS）来获得美国各地护理人员的代表性样本，用于国家III期临床研究。使用美国社区调查（ACS）的公开人口普查数据，结合当地老龄化资源（如地区老龄化机构（AAA））的位置数据，招募将来自ESRI ArcGIS v10.7.1中进行的数据分析。包括年龄，性别，收入和教育在内的数据集将在全国范围内以县和人口普查区域的空间尺度进行评估，以制定招聘优先领域，其中包括居住在社区的高浓度合格参与者。总的来说，目前的协议将证明地理信息系统在定制有针对性的外联战略，通过当地资源机构招募社区居民方面的价值。这一新方法可能对今后的招聘举措产生深远影响，并有助于确保种族/族裔多样化的样本。
Over 16 million caregivers of people living with dementia require support in a range of issues, including self-care, disease education, and guidance for how to manage behavioral and psychological symptoms of dementia (BPSD). Non-pharmacological interventions are needed to address these areas, and online applications have been shown to be safe and effective. To ensure the efficacy of such interventions, racially, ethnically, geographically, and socioeconomically diverse participants must be recruited to increase the generalizability of study outcomes. This protocol paper describes a recruitment plan using Geographic Information Systems (GIS) to reach a representative sample of caregivers across the United States for a national Phase III clinical study. Using publicly available census data from the American Community Survey (ACS), combined with location data for local aging resources such as Area Agencies on Aging (AAA), recruitment will be derived from data analysis conducted in ESRI ArcGIS v10.7.1. Datasets including age, gender, income, and education will be assessed nationally at the county and census tract spatial scale in a nine-step process to develop recruitment priority areas containing high concentrations of eligible participants living in the community. Overall, the current protocol will demonstrate the value of GIS in tailoring targeted outreach strategies to recruit community-dwelling populations through local resource institutions. This novel approach may have far-reaching implications in future recruitment initiatives and help to secure racially/ethnically diverse samples.