Literature DB >> 9762509

Retaining and tracking cohort study members.

J R Hunt1, E White.   

Abstract

The only way to ensure that losses to follow-up have not biased study results is to keep all losses to an absolute minimum. Since more complete follow-up leads to the identification of additional disease events, the effort spent in locating cohort members also improves the precision as well as the validity of the study results. This presentation reviewed approaches for maximizing retention and minimizing loss to follow-up, including the importance of communicating the expectations of participation and collecting personal information at baseline, conducting frequent personal and mail contact, and providing incentives for participation. Response rates can be increased by repeated attempts to contact each cohort member using a range of approaches (e.g., telephone, mail, personal contacts) and by other procedures specific to mailed questionnaires, telephone interviews, or in-person visits. Lost participants can be traced by use of the NCOA system and contact with other local, state, and national sources. Finally, for those participants who are unable or unwilling to continue or who cannot be found, proxy interviews and/or use of the National Death Index may provide information on the outcomes of interest and vital status. Additional research evaluating the efficacy of the various approaches to retention and tracking is needed to help investigators learn how to best apply study resources to retain and keep track of the largest possible number of cohort members.

Entities:  

Mesh:

Year:  1998        PMID: 9762509     DOI: 10.1093/oxfordjournals.epirev.a017972

Source DB:  PubMed          Journal:  Epidemiol Rev        ISSN: 0193-936X            Impact factor:   6.222


  62 in total

1.  Retaining hard-to-reach women in HIV prevention and vaccine trials: Project ACHIEVE.

Authors:  P Brown-Peterside; E Rivera; D Lucy; I Slaughter; L Ren; M A Chiasson; B A Koblin
Journal:  Am J Public Health       Date:  2001-09       Impact factor: 9.308

Review 2.  Epidemiology research in rheumatology-progress and pitfalls.

Authors:  Deborah P M Symmons
Journal:  Nat Rev Rheumatol       Date:  2015-07-07       Impact factor: 20.543

Review 3.  Studying outcomes of intensive care unit survivors: measuring exposures and outcomes.

Authors:  Dale M Needham; David W Dowdy; Pedro A Mendez-Tellez; Margaret S Herridge; Peter J Pronovost
Journal:  Intensive Care Med       Date:  2005-05-21       Impact factor: 17.440

4.  Maximizing follow-up in longitudinal studies of traumatized populations.

Authors:  Christy K Scott; Jeffrey Sonis; Mark Creamer; Michael L Dennis
Journal:  J Trauma Stress       Date:  2006-12

5.  Mobile phone follow-up of subjects included in a prospective cohort study: unexpected difficulties.

Authors:  Isabelle Pitrou; Luc Dauchet; Laurent Bailly; Sophie El Koubi; Marie-Pierre Tavolacci; Joël Ladner
Journal:  Eur J Epidemiol       Date:  2007-05-05       Impact factor: 8.082

6.  Understanding and Preventing Loss to Follow-up: Experiences From the Spinal Cord Injury Model Systems.

Authors:  Hwasoon Kim; Gary R Cutter; Brandon George; Yuying Chen
Journal:  Top Spinal Cord Inj Rehabil       Date:  2018

7.  Predictors of locating children participants in epidemiological studies 20 years after last contact: Internet resources and longitudinal research.

Authors:  Caroline P Barakat-Haddad; Susan J Elliott; John Eyles; David Pengelly
Journal:  Eur J Epidemiol       Date:  2009-06-28       Impact factor: 8.082

8.  Optimizing follow-up and study retention in the 21st century: Advances from the front line in alcohol and tobacco research.

Authors:  Lia J Smith; Patrick J McNamara; Andrea C King
Journal:  Drug Alcohol Depend       Date:  2017-04-15       Impact factor: 4.492

9.  Factors associated with response to a follow-up postal questionnaire in a cohort of American Indians.

Authors:  Sandra L Edwards; Martha L Slattery; Alison M Edwards; Carol Sweeney; Maureen A Murtaugh; Leslie E Palmer; Lillian Tom-Orme
Journal:  Prev Med       Date:  2009-03-12       Impact factor: 4.018

10.  Determinants of subject visit participation in a prospective cohort study of HTLV infection.

Authors:  Deborah A DeVita; Mary C White; Xin Zhao; Zhanna Kaidarova; Edward L Murphy
Journal:  BMC Med Res Methodol       Date:  2009-03-10       Impact factor: 4.615

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