Integrating community perspectives to improve survey completion rates in public health research by refining controversial survey elements

Abstract Background: Many factors can impact survey completion rates, including survey length, sensitivity of the topics addressed, and clarity of wording. This study used cognitive interviews (CIs), a methodological tool that can aid in developing and refining elements for multi-faceted assessmen...

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主要な著者:	Arleth A. Escoto, Angel Lomeli, Maria Linda Burola, Breanna Reyes, Ana Perez-Portillo, Scarlet Flores, Kayleigh Kornher, Norma Porras, Ariel Cohen, Linda Salgin, Borsika A. Rabin, Louise C. Laurent, Marva Seifert, Nicole A. Stadnick
フォーマット:	Artigo
言語:	Inglês
出版事項:	Cambridge University Press 2025-01-01
シリーズ:	Journal of Clinical and Translational Science
主題:	Community engagement common data elements public health National Institutes of Health research underserved communities
オンライン･アクセス:	https://www.cambridge.org/core/product/identifier/S2059866125000809/type/journal_article
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