The effect of remuneration schedule on data completion and retention in the Pregnancy Eating Attributes Study (PEAS)

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Abstract Background: Maximizing data completion and study retention is essential in population research. There is scant research to inform how remuneration schedules and data collection modality influence participant data completion and retention. Purpose: We examined the effect of remuneration schedule and data collection modality on data completion and retention in the Pregnancy Eating Attributes Study (PEAS) cohort. Methods: Participants (n=458) completed self-administered surveys and diet recalls online and attended six study visits. Initially, remuneration was a prespecified amount per visit (lump sum). The remuneration schedule was changed mid-study to be based on the number of forms completed (pro-rated). Survey data collection modality was changed to in-person at the 1-year postpartum visit. Remuneration schedule as a predictor of withdrawal by visit was modeled using Poisson regression; differences in retention at 1-year postpartum were examined by t-test. Differences in survey and diet record completion were determined by t-test, analysis of covariance, and logistic regression. Results: There was no significant difference in the time to withdrawal and no interaction of visit with remuneration schedule on withdrawal. Survey and diet recall completion were significantly lower under prorated remuneration at the first visit but did not significantly differ at subsequent visits. Survey completion at 1-year postpartum was significantly higher for in-person versus online completion. Conclusions: Findings suggest that remuneration schedule and data collection modality can impact completion of self-reported assessments. Further research is needed to understand how remuneration and data collection practices intersect with diverse populations to influence data completion and retention.

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