Literature DB >> 29506195

Demographic and Operational Factors Predicting Study Completion in a Multisite Case-Control Study of Preschool Children.

Chyrise B Bradley1, Erica N Browne1, Aimee A Alexander2, Jack Collins3, Jamie L Dahm4, Carolyn G DiGuiseppi5, Susan E Levy6, Eric J Moody7, Laura A Schieve2, Gayle C Windham8, Lisa Young9, Julie L Daniels1.   

Abstract

Participant attrition can limit inferences drawn from study results and inflate research costs. We examined factors associated with completion of the Study to Explore Early Development (2007-2011), a multiple-component, case-control study of risk factors for autism spectrum disorder in preschoolers, conducted in California, Colorado, Georgia, Maryland, North Carolina, and Pennsylvania. Participants (n = 3,769) were asked to complete phone interviews, questionnaires, an in-person evaluation, and biologic sampling. We examined whether participant demographic and administrative factors predicted completion using mixed-effects logistic regression models. Completion of individual key study components was generally 70% or higher. However, 58% of families completed all per-protocol data elements (defined a priori as key study components). Per-protocol completion differed according to mother's age, race, educational level, driving distance to clinic, number of contact attempts to enroll, and number of telephone numbers provided (all P < 0.05). Case status was not associated with completion, despite additional data collection for case-confirmation. Analysis of a subset that completed an early interview revealed no differences in completion by household factors of income, primary language spoken, number of adults, or number of children with chronic conditions. Differences in completion by race and education were notable and need to be carefully considered in developing future recruitment and completion strategies.

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Year:  2018        PMID: 29506195      PMCID: PMC5963499          DOI: 10.1093/aje/kwx262

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  30 in total

1.  Tracking and follow-up of 16,915 adolescents: minimizing attrition bias.

Authors:  T C Morrison; D R Wahlgren; M F Hovell; J Zakarian; S Burkham-Kreitner; C R Hofstetter; D J Slymen; K Keating; S Russos; J A Jones
Journal:  Control Clin Trials       Date:  1997-10

2.  Extended recruitment efforts minimize attrition but not necessarily bias.

Authors:  Robin Haring; Dietrich Alte; Henry Völzke; Sybille Sauer; Henri Wallaschofski; Ulrich John; Carsten O Schmidt
Journal:  J Clin Epidemiol       Date:  2008-10-01       Impact factor: 6.437

3.  Using standardized diagnostic instruments to classify children with autism in the study to explore early development.

Authors:  Lisa D Wiggins; Ann Reynolds; Catherine E Rice; Eric J Moody; Pilar Bernal; Lisa Blaskey; Steven A Rosenberg; Li-Ching Lee; Susan E Levy
Journal:  J Autism Dev Disord       Date:  2015-05

4.  Access to services, quality of care, and family impact for children with autism, other developmental disabilities, and other mental health conditions.

Authors:  Rini Vohra; Suresh Madhavan; Usha Sambamoorthi; Claire St Peter
Journal:  Autism       Date:  2013-12-18

5.  Characteristics of people lost to attrition in psychiatric follow-up studies.

Authors:  E H Fischer; E A Dornelas; J W Goethe
Journal:  J Nerv Ment Dis       Date:  2001-01       Impact factor: 2.254

6.  Assessing the impact of attrition in randomized controlled trials.

Authors:  Catherine E Hewitt; Bharathy Kumaravel; Jo C Dumville; David J Torgerson
Journal:  J Clin Epidemiol       Date:  2010-06-22       Impact factor: 6.437

7.  The Study to Explore Early Development (SEED): a multisite epidemiologic study of autism by the Centers for Autism and Developmental Disabilities Research and Epidemiology (CADDRE) network.

Authors:  Diana E Schendel; Carolyn Diguiseppi; Lisa A Croen; M Daniele Fallin; Philip L Reed; Laura A Schieve; Lisa D Wiggins; Julie Daniels; Judith Grether; Susan E Levy; Lisa Miller; Craig Newschaffer; Jennifer Pinto-Martin; Cordelia Robinson; Gayle C Windham; Aimee Alexander; Arthur S Aylsworth; Pilar Bernal; Joseph D Bonner; Lisa Blaskey; Chyrise Bradley; Jack Collins; Casara J Ferretti; Homayoon Farzadegan; Ellen Giarelli; Marques Harvey; Susan Hepburn; Matthew Herr; Kristina Kaparich; Rebecca Landa; Li-Ching Lee; Brooke Levenseller; Stacey Meyerer; Mohammad H Rahbar; Andria Ratchford; Ann Reynolds; Steven Rosenberg; Julie Rusyniak; Stuart K Shapira; Karen Smith; Margaret Souders; Patrick Aaron Thompson; Lisa Young; Marshalyn Yeargin-Allsopp
Journal:  J Autism Dev Disord       Date:  2012-10

8.  Factors associated with early study discontinuation in AACTG studies, DACS 200.

Authors:  Janet W Andersen; Robert Fass; Charles van der Horst
Journal:  Contemp Clin Trials       Date:  2007-02-27       Impact factor: 2.226

9.  Predictors of drop-out in a multi-centre longitudinal study of participation and quality of life of children with cerebral palsy.

Authors:  Heather O Dickinson; Marion Rapp; Catherine Arnaud; Malin Carlsson; Allan F Colver; Jérôme Fauconnier; Alan Lyons; Marco Marcelli; Susan I Michelsen; Jackie Parkes; Kathryn Parkinson
Journal:  BMC Res Notes       Date:  2012-06-15

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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  4 in total

1.  Relationship of Weight Outcomes, Co-Occurring Conditions, and Severity of Autism Spectrum Disorder in the Study to Explore Early Development.

Authors:  Susan E Levy; Jennifer A Pinto-Martin; Chyrise B Bradley; Jesse Chittams; Susan L Johnson; Juhi Pandey; Alison Pomykacz; AnnJosette Ramirez; Ann Reynolds; Eric Rubenstein; Laura A Schieve; Stuart K Shapira; Aleda Thompson; Lisa Young; Tanja V E Kral
Journal:  J Pediatr       Date:  2018-10-09       Impact factor: 4.406

2.  Infections in children with autism spectrum disorder: Study to Explore Early Development (SEED).

Authors:  Katherine R Sabourin; Ann Reynolds; Diana Schendel; Steven Rosenberg; Lisa A Croen; Jennifer A Pinto-Martin; Laura A Schieve; Craig Newschaffer; Li-Ching Lee; Carolyn DiGuiseppi
Journal:  Autism Res       Date:  2018-11-26       Impact factor: 5.216

3.  A Novel Approach to Dysmorphology to Enhance the Phenotypic Classification of Autism Spectrum Disorder in the Study to Explore Early Development.

Authors:  Stuart K Shapira; Lin H Tian; Arthur S Aylsworth; Ellen R Elias; Julie E Hoover-Fong; Naomi J L Meeks; Margaret C Souders; Anne C-H Tsai; Elaine H Zackai; Aimee A Alexander; Marshalyn Yeargin-Allsopp; Laura A Schieve
Journal:  J Autism Dev Disord       Date:  2019-05

4.  Mapping the Relationship between Dysmorphology and Cognitive, Behavioral, and Developmental Outcomes in Children with Autism Spectrum Disorder.

Authors:  Lin H Tian; Lisa D Wiggins; Laura A Schieve; Marshalyn Yeargin-Allsopp; Patricia Dietz; Arthur S Aylsworth; Ellen R Elias; Julie E Hoover-Fong; Naomi J L Meeks; Margaret C Souders; Anne C-H Tsai; Elaine H Zackai; Aimee A Alexander; Nicole F Dowling; Stuart K Shapira
Journal:  Autism Res       Date:  2020-06-22       Impact factor: 4.633

  4 in total

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