OBJECTIVE: To identify factors associated with non-participation at the 12-month and 24-month follow-up phases of a prospective cohort study of injury outcomes. METHODS: Associations between non-participation at follow-up phases and a range of sociodemographic, injury, health, outcome and administrative factors were examined. RESULTS: An individual's non-participation at 12 months did not necessarily mean non-participation at 24 months. Sociodemographic factors were the most salient for non-participation, regardless of the number of follow-up phases or specific phase considered. CONCLUSIONS: Retention rates in prospective cohort studies of injury outcome may be improved by follow-up of everyone irrespective of previous non-participation, focusing resources to retain men, young adults, indigenous people and those living with people other than family members, and by ensuring that multiple alternative participant contacts are obtained. There is sufficient evidence to be concerned about potential bias given that several of the factors we, and others, have identified as associated with non-participation are also associated with various functional and disability outcomes following injury. This suggests detailed investigations are warranted into the effect non-participation may be having on the estimates for various outcomes.
OBJECTIVE: To identify factors associated with non-participation at the 12-month and 24-month follow-up phases of a prospective cohort study of injury outcomes. METHODS: Associations between non-participation at follow-up phases and a range of sociodemographic, injury, health, outcome and administrative factors were examined. RESULTS: An individual's non-participation at 12 months did not necessarily mean non-participation at 24 months. Sociodemographic factors were the most salient for non-participation, regardless of the number of follow-up phases or specific phase considered. CONCLUSIONS: Retention rates in prospective cohort studies of injury outcome may be improved by follow-up of everyone irrespective of previous non-participation, focusing resources to retain men, young adults, indigenous people and those living with people other than family members, and by ensuring that multiple alternative participant contacts are obtained. There is sufficient evidence to be concerned about potential bias given that several of the factors we, and others, have identified as associated with non-participation are also associated with various functional and disability outcomes following injury. This suggests detailed investigations are warranted into the effect non-participation may be having on the estimates for various outcomes.
Authors: Jessica L Rinsky; David B Richardson; Steve Wing; John D Beard; Michael Alavanja; Laura E Beane Freeman; Honglei Chen; Paul K Henneberger; Freya Kamel; Dale P Sandler; Jane A Hoppin Journal: Am J Epidemiol Date: 2017-08-15 Impact factor: 4.897
Authors: Jagnoor Jagnoor; Fiona Blyth; Belinda Gabbe; Sarah Derrett; Soufiane Boufous; Michael Dinh; Robert Day; Gregory Button; Mark Gillett; Tony Joseph; Michael Nicholas; Rebecca Ivers; Chris G Maher; Simon Willcock; Justin Kenardy; Alex Collie; Ian D Cameron Journal: BMC Public Health Date: 2014-02-25 Impact factor: 3.295
Authors: Samantha Teague; George J Youssef; Jacqui A Macdonald; Emma Sciberras; Adrian Shatte; Matthew Fuller-Tyszkiewicz; Chris Greenwood; Jennifer McIntosh; Craig A Olsson; Delyse Hutchinson Journal: BMC Med Res Methodol Date: 2018-11-26 Impact factor: 4.615
Authors: Cécile Vuillermoz; Lise Eilin Stene; Lydéric Aubert; Yvon Motreff; Philippe Pirard; Thierry Baubet; Sophie Lesieur; Pierre Chauvin; Stéphanie Vandentorren Journal: BMC Med Res Methodol Date: 2020-03-14 Impact factor: 4.615