Literature DB >> 11043704

Designing a quality assurance system for dietary data in a multicenter clinical trial: Women's Intervention Nutrition Study.

T Copeland1, M Grosvenor, D C Mitchell, H Smiciklas-Wright, V Marsoobian, G Blackburn, B Winters.   

Abstract

Reliable dietary intake data are essential for determining outcomes in nutrition-related clinical trials. Nevertheless, systems for quality assurance of dietary intake data are often slighted in the design of such trials and not incorporated or monitored as the trials continue. The Women's Intervention Nutrition Study (WINS), a multicenter clinical trial investigating the effect of reduction of dietary fat intake together with adjuvant systemic therapy on recurrence rates in and survival of postmenopausal women with early stage, surgically treated, breast cancer, has developed a quality assurance system to minimize errors and to produce data that are complete and reliable. The system involves development of standardized procedures for data collection, a quality control program to evaluate the data collected, and continual monitoring and reevaluation. The WINS system is offered as a model for studies collecting dietary intake data, no matter how simple or complex the trial design.

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Year:  2000        PMID: 11043704     DOI: 10.1016/S0002-8223(00)00343-6

Source DB:  PubMed          Journal:  J Am Diet Assoc        ISSN: 0002-8223


  3 in total

1.  Implementing a low-fat eating plan in the Women's Intervention Nutrition Study.

Authors:  M Katherine Hoy; Barbara L Winters; Rowan T Chlebowski; Constantina Papoutsakis; Alice Shapiro; Michele P Lubin; Cynthia A Thomson; Mary B Grosvenor; Trisha Copeland; Elyse Falk; Kristina Day; George L Blackburn
Journal:  J Am Diet Assoc       Date:  2009-04

2.  No improvement in suboptimal vitamin A status with a randomized, double-blind, placebo-controlled trial of vitamin A supplementation in children with sickle cell disease.

Authors:  Kelly A Dougherty; Joan I Schall; Deborah A Kawchak; Michael H Green; Kwaku Ohene-Frempong; Babette S Zemel; Virginia A Stallings
Journal:  Am J Clin Nutr       Date:  2012-09-05       Impact factor: 7.045

3.  Evaluation of the dietary intake data coding process in a clinical setting: Implications for research practice.

Authors:  Vivienne X Guan; Yasmine C Probst; Elizabeth P Neale; Linda C Tapsell
Journal:  PLoS One       Date:  2019-08-12       Impact factor: 3.240

  3 in total

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