Comparing methods of performing geographically targeted rural health surveillance

Author:

Lee David C.ORCID,McGraw Nancy A.,Doran Kelly M.,Mengotto Amanda K.,Wiener Sara L.,Vinson Andrew J.,Thorpe Lorna E.

Abstract

Abstract Background Worsening socioeconomic conditions in rural America have been fueling increases in chronic disease and poor health. The goal of this study was to identify cost-effective methods of deploying geographically targeted health surveys in rural areas, which often have limited resources. These health surveys were administered in New York’s rural Sullivan County, which has some of the poorest health outcomes in the entire state. Methods Comparisons were made for response rates, estimated costs, respondent demographics, and prevalence estimates of a brief health survey delivered by mail and phone using address-based sampling, and in-person using convenience sampling at a sub-county level in New York’s rural Sullivan County during 2017. Results Overall response rates were 27.0% by mail, 8.2% by phone, and 71.4% for convenience in-person surveys. Costs to perform phone surveys were substantially higher than mailed or convenience in-person surveys. All modalities had lower proportions of Hispanic respondents compared to Census estimates. Unadjusted and age-adjusted prevalence estimates were similar between mailed and in-person surveys, but not for phone surveys. Conclusions These findings are consistent with declining response rates of phone surveys, which obtained an inadequate sample of rural residents. Though in-person surveys had higher response rates, convenience sampling failed to obtain a geographically distributed sample of rural residents. Of modalities tested, mailed surveys provided the best opportunity to perform geographically targeted rural health surveillance.

Funder

New York State Health Foundation

Publisher

Springer Science and Business Media LLC

Subject

Epidemiology

Reference34 articles.

1. Harris JK, Beatty K, Leider JP, Knudson A, Anderson BL, Meit M. The double disparity facing Rural Local Health Departments. Annu Rev Public Health. 2016;37:167–84.

2. Matthews KA, Croft JB, Liu Y, et al. Health-related behaviors by urban–rural County classification-United States, 2013. Morb Mortal Wkly Rep Surveill Summ. 2017;66(5):1–8.

3. Cicero TJ, Ellis MS, Surratt HL, Kurtz SP. The changing face of heroin use in the United States: a retrospective analysis of the past 50 years. JAMA psychiatry. 2014;71(7):821–6.

4. Brundisini F, Giacomini M, DeJean D, Vanstone M, Winsor S, Smith A. Chronic disease patients’ experiences with accessing health care in rural and remote areas: a systematic review and qualitative meta-synthesis. Ont Health Technol Assess Ser. 2013;13(15):1–33.

5. Hartley D. Rural health disparities, population health, and rural culture. Am J Public Health. 2004;94(10):1675–8.

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