BACKGROUND: Delivering health information and referrals through 2-1-1 is promising, but these systems need efficient ways of identifying callers at increased risk. PURPOSE: This study explores the utility of using 2-1-1 service request data to predict callers' cancer control needs. METHODS: Using data from a large sample of callers (N=4101) to United Way 2-1-1 Missouri, logistic regression was used to examine the relationship between caller demographics and type of service request, and cancer control needs. RESULTS: Of six types of service requests examined, three were associated with one or more cancer control needs. Two of the service request types were associated also with health insurance status. CONCLUSIONS: Findings suggest routinely collected 2-1-1 service request data may be useful in helping to efficiently identify callers with specific cancer prevention and control needs. However, to apply this approach in 2-1-1 systems across the country, further research and ongoing surveillance is necessary.
BACKGROUND: Delivering health information and referrals through 2-1-1 is promising, but these systems need efficient ways of identifying callers at increased risk. PURPOSE: This study explores the utility of using 2-1-1 service request data to predict callers' cancer control needs. METHODS: Using data from a large sample of callers (N=4101) to United Way 2-1-1 Missouri, logistic regression was used to examine the relationship between caller demographics and type of service request, and cancer control needs. RESULTS: Of six types of service requests examined, three were associated with one or more cancer control needs. Two of the service request types were associated also with health insurance status. CONCLUSIONS: Findings suggest routinely collected 2-1-1 service request data may be useful in helping to efficiently identify callers with specific cancer prevention and control needs. However, to apply this approach in 2-1-1 systems across the country, further research and ongoing surveillance is necessary.
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Authors: Matthew W Kreuter; Katherine S Eddens; Kassandra I Alcaraz; Suchitra Rath; Choi Lai; Nikki Caito; Regina Greer; Nikisha Bridges; Jason Q Purnell; Anjanette Wells; Qiang Fu; Colleen Walsh; Erin Eckstein; Julia Griffith; Alissa Nelson; Cicely Paine; Tiffany Aziz; Anne M Roux Journal: Am J Prev Med Date: 2012-12 Impact factor: 5.043