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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.
Scerpella, Danny L; Bouranis, Nicole G; Webster, Melinda J; Dellapina, Maria; Koeuth, Sokha; Parker, Lauren J; Kales, Helen C; Gitlin, Laura N.
Affiliation
  • Scerpella DL; School of Public Health, Johns Hopkins University, Baltimore, USA.
  • Bouranis NG; College of Nursing and Health Professions, Drexel University, Philadelphia, USA.
  • Webster MJ; College of Nursing and Health Professions, Drexel University, Philadelphia, USA.
  • Dellapina M; College of Nursing and Health Professions, Drexel University, Philadelphia, USA.
  • Koeuth S; College of Nursing and Health Professions, Drexel University, Philadelphia, USA.
  • Parker LJ; School of Public Health, Johns Hopkins University, Baltimore, USA.
  • Kales HC; Department of Psychiatry, University of California-Davis, Sacramento, USA.
  • Gitlin LN; College of Nursing and Health Professions, Drexel University, Philadelphia, USA.
J Geogr Inf Syst ; 13(3): 302-317, 2021 Jun.
Article in En | MEDLINE | ID: mdl-34484851
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Diagnostic_studies / Guideline Language: En Journal: J Geogr Inf Syst Year: 2021 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Diagnostic_studies / Guideline Language: En Journal: J Geogr Inf Syst Year: 2021 Document type: Article Affiliation country: United States