ArticleEmerging themes in epidemiology2020
Comparing methods of performing geographically targeted rural health surveillance.
Article in Emerging themes in epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Association Between Various Metrics of the Rural Food Environment and Diabetes and Obesity.Preventing chronic disease · 2026Article
- Disentangling the Multifactorial Influences on Diabetes Risk Among Rural Communities: Food Environment, Diet Quality, and Dietary Chemical Exposures.Diabetes/metabolism research and reviews · 2026Observational
- Well-being inequities in eleven rural Georgia communities: A latent profile analysis.PloS one · 2025Article
- Article
- Food insecurity in high-risk rural communities before and during the COVID-19 pandemic.Heliyon · 2024Article
- Inequities in Physical Activity Environments and Leisure-Time Physical Activity in Rural Communities.Preventing chronic disease · 2022Article
- Follow-up Rates After Teleretinal Screening for Diabetic Retinopathy: Assessing Patient Barriers to Care.Journal of vitreoretinal diseasesArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundWorsening 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.
methodsComparisons 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.
resultsOverall 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.
conclusionsThese 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.
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