Development of a Tool to Identify Poverty in a Family Practice Setting: A Pilot Study
Author(s) -
Vanessa Brcic,
Caroline Eberdt,
Janusz Kaczorowski
Publication year - 2011
Publication title -
international journal of family medicine
Language(s) - English
Resource type - Journals
eISSN - 2090-2042
pISSN - 2090-2050
DOI - 10.1155/2011/812182
Subject(s) - poverty , respondent , medicine , primary care , logistic regression , multivariate analysis , family medicine , univariate , poverty level , test (biology) , multivariate statistics , economic growth , statistics , paleontology , mathematics , political science , law , economics , biology
Objective . The goal of this pilot study was to develop and field-test questions for use as a poverty case-finding tool to assist primary care providers in identifying poverty in clinical practice. Methods . 156 questionnaires were completed by a convenience sample of urban and rural primary care patients presenting to four family practices in British Columbia, Canada. Univariate and multivariate logistic regression analyses compared questionnaire responses with low-income cut-off (LICO) levels calculated for each respondent. Results . 35% of respondents were below the “poverty line” (LICO). The question “Do you (ever) have difficulty making ends meet at the end of the month?” was identified as a good predictor of poverty (sensitivity 98%; specificity 60%; OR 32.3, 95% CI 5.4–191.5). Multivariate analysis identified a 3-item case-finding tool including 2 additional questions about food and housing security (sensitivity 64.3%; specificity 94.4%; OR 30.2, 95% CI 10.3–88.1). 85% of below-LICO respondents felt that poverty screening was important and 67% felt comfortable speaking to their family physician about poverty. Conclusions . Asking patients directly about poverty may help identify patients with increased needs in primary care.
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