Int J Health Geogr - Evaluation of the role of location and distance in recruitment in respondent-driven sampling.

Tópicos

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{ cancer(2502) breast(956) screen(824) }
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{ use(1733) differ(960) four(931) }
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Resumo

CKGROUND: Respondent-driven sampling(RDS) is an increasingly widely used variant of a link tracing design for recruiting hidden populations. The role of the spatial distribution of the target population has not been robustly examined for RDS. We examine patterns of recruitment by location, and how they may have biased an RDS study findings.METHODS: Total-population data were available on a range of characteristics on a population of 2402 male household-heads from an open cohort of 25 villages in rural Uganda. The locations of households were known a-priori. An RDS survey was carried out in this population, employing current RDS methods of sampling and statistical inference.RESULTS: There was little heterogeneity in the population by location. Data suggested more distant contacts were less likely to be reported, and therefore recruited, but if reported more distant contacts were as likely as closer contacts to be recruited. There was no evidence that closer proximity to a village meeting place was associated with probability of being recruited, however it was associated with a higher probability of recruiting a larger number of recruits. People living closer to an interview site were more likely to be recruited.CONCLUSIONS: Household location affected the overall probability of recruitment, and the probability of recruitment by a specific recruiter. Patterns of recruitment do not appear to have greatly biased estimates in this study. The observed patterns could result in bias in more geographically heterogeneous populations. Care is required in RDS studies when choosing the network size question and interview site location(s).

Resumo Limpo

ckground respondentdriven samplingrd increas wide use variant link trace design recruit hidden popul role spatial distribut target popul robust examin rds examin pattern recruit locat may bias rds studi findingsmethod totalpopul data avail rang characterist popul male householdhead open cohort villag rural uganda locat household known apriori rds survey carri popul employ current rds method sampl statist inferenceresult littl heterogen popul locat data suggest distant contact less like report therefor recruit report distant contact like closer contact recruit evid closer proxim villag meet place associ probabl recruit howev associ higher probabl recruit larger number recruit peopl live closer interview site like recruitedconclus household locat affect overal probabl recruit probabl recruit specif recruit pattern recruit appear great bias estim studi observ pattern result bias geograph heterogen popul care requir rds studi choos network size question interview site locat

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