Literature DB >> 12054321

Challenges to improving the impact of worksite cancer prevention programs: comparing reach, enrollment, and attrition using active versus passive recruitment strategies.

Laura A Linnan1, Karen M Emmons, Neil Klar, Joseph L Fava, Robert G LaForge, David B Abrams.   

Abstract

OBJECTIVE: The impact of worksite intervention studies is maximized when reach and enrollment are high and attrition is low. Differences in reach, enrollment, and retention were investigated by comparing 2 different employee recruitment methods for a home-based cancer-prevention intervention study.
METHODS: Twenty-two worksites (N = 10,014 employees) chose either active or passive methods to recruit employees into a home-based intervention study. Reach (e.g., number of employees who gave permission to be called at home), Enrollment (e.g., number of employees who joined the home intervention study), and Attrition (e.g., number who did not complete the 12- and 24-month follow-ups) were determined. Analysis at the cluster level assessed differences between worksites that selected active (n = 12) versus passive (n = 10) recruitment methods on key outcomes of interest. Employees recruited by passive methods had significantly higher reach (74.5% vs. 24.4% for active) but significantly lower enrollment (41% vs. 78%) and retention (54% vs. 70%) rates (all ps < .0001). Passive methods also successfully enrolled a more diverse, high-risk employee sample. Passive (vs. active) recruitment methods hold advantages for increased reach and the ability to retain a more representative employee sample. Implications of these results for the design of future worksite studies that involve multilevel recruitment methods are discussed.

Entities:  

Mesh:

Year:  2002        PMID: 12054321     DOI: 10.1207/S15324796ABM2402_13

Source DB:  PubMed          Journal:  Ann Behav Med        ISSN: 0883-6612


  17 in total

1.  Mediation analysis of decisional balance, sun avoidance and sunscreen use in the precontemplation and preparation stages for sun protection.

Authors:  Marimer Santiago-Rivas; Wayne F Velicer; Colleen Redding
Journal:  Psychol Health       Date:  2015-06-24

2.  The association between worksite physical environment and employee nutrition, and physical activity behavior and weight status.

Authors:  Fabio A Almeida; Sarah S Wall; Wen You; Samantha M Harden; Jennie L Hill; Blake E Krippendorf; Paul A Estabrooks
Journal:  J Occup Environ Med       Date:  2014-07       Impact factor: 2.162

3.  Treated individuals who progress to action or maintenance for one behavior are more likely to make similar progress on another behavior: coaction results of a pooled data analysis of three trials.

Authors:  Andrea L Paiva; James O Prochaska; Hui-Qing Yin; Joseph S Rossi; Colleen A Redding; Bryan Blissmer; Mark L Robbins; Wayne F Velicer; Jessica Lipschitz; Nicole Amoyal; Steven F Babbin; Cerissa L Blaney; Marie A Sillice; Anne Fernandez; Heather McGee; Satoshi Horiuchi
Journal:  Prev Med       Date:  2012-03-07       Impact factor: 4.018

4.  Effective recruitment strategies and community-based participatory research: community networks program centers' recruitment in cancer prevention studies.

Authors:  K Allen Greiner; Daniela B Friedman; Swann Arp Adams; Clement K Gwede; Paula Cupertino; Kimberly K Engelman; Cathy D Meade; James R Hébert
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-03       Impact factor: 4.254

Review 5.  Recruiting vulnerable populations into research: a systematic review of recruitment interventions.

Authors:  Stacy J UyBico; Shani Pavel; Cary P Gross
Journal:  J Gen Intern Med       Date:  2007-03-21       Impact factor: 5.128

6.  Longitudinal analysis of intervention effects on temptations and stages of change for dietary fat using parallel process latent growth modeling.

Authors:  Leslie Ann D Brick; Si Yang; Lisa L Harlow; Colleen A Redding; James O Prochaska
Journal:  J Health Psychol       Date:  2016-11-25

7.  When is Retention in Health Promotion Interventions Intentional? Predicting Return to Health Promotion Interventions as a Function of Busyness.

Authors:  Dolores Albarracín; Kristina Wilson; Marta R Durantini; William Livingood
Journal:  Acta Investig Psicol       Date:  2015-01-21

8.  Cost effectiveness of recruitment methods in an obesity prevention trial for young children.

Authors:  Jodie L Robinson; Janene H Fuerch; Dana D Winiewicz; Sarah J Salvy; James N Roemmich; Leonard H Epstein
Journal:  Prev Med       Date:  2007-03-20       Impact factor: 4.018

9.  Baseline transtheoretical and dietary behavioral predictors of dietary fat moderation over 12 and 24 months.

Authors:  Geoffrey W Greene; Colleen A Redding; James O Prochaska; Andrea L Paiva; Joseph S Rossi; Wayne F Velicer; Bryan Blissmer; Mark L Robbins
Journal:  Eat Behav       Date:  2013-03-01

10.  Effectiveness of different methods for delivering tailored nutrition education to low income, ethnically diverse adults.

Authors:  Kim M Gans; Patricia M Risica; Leslie O Strolla; Leanne Fournier; Usree Kirtania; David Upegui; Julie Zhao; Tiffiney George; Suddhasatta Acharyya
Journal:  Int J Behav Nutr Phys Act       Date:  2009-05-05       Impact factor: 6.457

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