Open Access. Powered by Scholars. Published by Universities.®
- Publication
Articles 1 - 2 of 2
Full-Text Articles in Medicine and Health Sciences
Start Date May Predict Attrition 6 Months Into A 12mth Dietary Intervention Weight Loss Trial, Jane O'Shea, Linda Tapsell, Marijka Batterham, Karen Charlton, Yasmine Probst, Rebecca Thorne, Qingsheng Zhang, Holley Jones
Start Date May Predict Attrition 6 Months Into A 12mth Dietary Intervention Weight Loss Trial, Jane O'Shea, Linda Tapsell, Marijka Batterham, Karen Charlton, Yasmine Probst, Rebecca Thorne, Qingsheng Zhang, Holley Jones
Qingsheng Zhang
Participant recruitment is a difficult and time consuming aspect of clinical trials, often resulting in delays and budget overruns. Having reached recruitment targets the next challenge is participant retention. Some weight-loss studies have attrition rates around 60% which may introduce bias in the results. It may be possible to reduce attrition rates if known predictors can be found but to date few studies produced consistent results. The aim of this exploratory study was to determine whether start date could be a predictor of attrition for participants involved in the SMART weight loss clinical trial (ACTRN12608000425392). Recruitment for the trial occurred …
Start Date May Predict Attrition 6 Months Into A 12mth Dietary Intervention Weight Loss Trial, Jane O'Shea, Linda Tapsell, Marijka Batterham, Karen Charlton, Yasmine Probst, Rebecca Thorne, Qingsheng Zhang, Holley Jones
Start Date May Predict Attrition 6 Months Into A 12mth Dietary Intervention Weight Loss Trial, Jane O'Shea, Linda Tapsell, Marijka Batterham, Karen Charlton, Yasmine Probst, Rebecca Thorne, Qingsheng Zhang, Holley Jones
Karen E. Charlton
Participant recruitment is a difficult and time consuming aspect of clinical trials, often resulting in delays and budget overruns. Having reached recruitment targets the next challenge is participant retention. Some weight-loss studies have attrition rates around 60% which may introduce bias in the results. It may be possible to reduce attrition rates if known predictors can be found but to date few studies produced consistent results. The aim of this exploratory study was to determine whether start date could be a predictor of attrition for participants involved in the SMART weight loss clinical trial (ACTRN12608000425392). Recruitment for the trial occurred …