Peter Musiat1, Megan Winsall2, Simone Orlowski2, Gaston Antezana2, Geoffrey Schrader3, Malcolm Battersby3, Niranjan Bidargaddi4. 1. Flinders Human Behaviour and Health Research Unit, Department of Psychiatry, School of Medicine, Flinders University, Bedford Park, Australia; Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom. Electronic address: peter.musiat@kcl.ac.uk. 2. Flinders Human Behaviour and Health Research Unit, Department of Psychiatry, School of Medicine, Flinders University, Bedford Park, Australia; Young and Well Cooperative Research Centre, Abbotsford, Australia. 3. Flinders Human Behaviour and Health Research Unit, Department of Psychiatry, School of Medicine, Flinders University, Bedford Park, Australia. 4. Flinders Human Behaviour and Health Research Unit, Department of Psychiatry, School of Medicine, Flinders University, Bedford Park, Australia; Mental Health Informatics Research Unit, Country Health SA LHN Inc, Adelaide, Australia; Young and Well Cooperative Research Centre, Abbotsford, Australia.
Abstract
PURPOSE: There is a growing need to identify new and innovative approaches to recruit representative samples of young adults in health intervention research. The current study used a data set of screening information from an online well-being intervention trial of young adults, to investigate cost-effectiveness of different recruitment strategies and whether the clinical and demographic characteristics of participants differed depending on paid or unpaid online recruitment sources. METHODS: Data were collected from 334 18- to 25-year-old Australians. The study was advertised through a variety of paid and unpaid online recruitment channels (e.g., Google, Facebook, Twitter, YouTube, recruitment agency), with response rates to different recruitment channels tracked using unique Web links. Well-being of participants was measured using the Mental Health Continuum Short Form. Analyses consisted of independent t tests and χ2 tests. RESULTS: Overall, unpaid recruitment channels had a considerably higher yield than paid recruitment channels. Of paid recruitment channels, a recruitment agency and paid Facebook advertisements attracted the largest number of individuals. This study also found differences between paid and unpaid online recruitment channels with regard to the well-being and mood of participants. CONCLUSIONS: Although the success of online recruitment channels is likely subject to a complex interplay between the number of exposures, the targeted sample, the wording, and placement of the advertisement, as well as study characteristics, our study demonstrated that unpaid recruitment channels are more effective than paid channels and that paid and unpaid channels may result in samples with different characteristics.
PURPOSE: There is a growing need to identify new and innovative approaches to recruit representative samples of young adults in health intervention research. The current study used a data set of screening information from an online well-being intervention trial of young adults, to investigate cost-effectiveness of different recruitment strategies and whether the clinical and demographic characteristics of participants differed depending on paid or unpaid online recruitment sources. METHODS: Data were collected from 334 18- to 25-year-old Australians. The study was advertised through a variety of paid and unpaid online recruitment channels (e.g., Google, Facebook, Twitter, YouTube, recruitment agency), with response rates to different recruitment channels tracked using unique Web links. Well-being of participants was measured using the Mental Health Continuum Short Form. Analyses consisted of independent t tests and χ2 tests. RESULTS: Overall, unpaid recruitment channels had a considerably higher yield than paid recruitment channels. Of paid recruitment channels, a recruitment agency and paid Facebook advertisements attracted the largest number of individuals. This study also found differences between paid and unpaid online recruitment channels with regard to the well-being and mood of participants. CONCLUSIONS: Although the success of online recruitment channels is likely subject to a complex interplay between the number of exposures, the targeted sample, the wording, and placement of the advertisement, as well as study characteristics, our study demonstrated that unpaid recruitment channels are more effective than paid channels and that paid and unpaid channels may result in samples with different characteristics.
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