2016
DOI: 10.1093/fampra/cmw003
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Optimizing primary care research participation: a comparison of three recruitment methods in data-sharing studies

Abstract: Opt-out recruitment appears to be a relatively efficient approach to ensuring participation of typical general practices. Researchers should, with appropriate ethical safeguards, consider opt-out recruitment of practices for studies involving anonymized patient data sharing.

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Cited by 8 publications
(12 citation statements)
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“…This method can produce a larger sample whilst avoiding some of the biases often associated with opt-in recruitment, and thus may be more representative of typical general practices [31, 34]. …”
Section: Discussionmentioning
confidence: 99%
“…This method can produce a larger sample whilst avoiding some of the biases often associated with opt-in recruitment, and thus may be more representative of typical general practices [31, 34]. …”
Section: Discussionmentioning
confidence: 99%
“…West Yorkshire has practice characteristics broadly similar to English averages and regional SystmOne coverage was high (> 80% of practices during the study). Furthermore, opt-out recruitment efficiently enabled practice participation while avoiding biases associated with opt-in recruitment, 44,48 strengthening generalisability. Third, combined indicators can mask varying performance between individual component indicators.…”
Section: Discussionmentioning
confidence: 99%
“…We sampled randomly from this group and stratified them by the then configured five NHS primary care trusts. We assumed a 30% decline rate based on earlier work 44 and initially asked 78 practices to 'opt in' to the sharing of anonymised data to achieve a sample of 60 (see Sample size). After receiving several declines and a small number of acceptances, we approached and sampled an additional 36 practices, making 114 in total.…”
Section: Participantsmentioning
confidence: 99%
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