Online recruitment: feasibility, cost, & representativeness in a study of postpartum women

Liana Leach, Peter Butterworth, Carmel Poyser, Phil Batterham, Lou Farrer

    Research output: Contribution to journalArticlepeer-review

    32 Citations (Scopus)

    Abstract

    Background: Online recruitment is feasible, low-cost, and can provide high-quality epidemiological data. However, little is known about the feasibility of recruiting postpartum women online, or sample representativeness. Objective: The current study investigates the feasibility of recruiting a population of postpartum women online for health research and examines sample representativeness. Methods: Two samples of postpartum women were compared: those recruited online as participants in a brief survey of new mothers (n=1083) and those recruited face-to-face as part of a nationally representative study (n=579). Sociodemographic, general health, and mental health characteristics were compared between the two samples. Results: Obtaining a sample of postpartum women online for health research was highly efficient and low-cost. The online sample over-represented those who were younger (aged 25-29 years), were in a de facto relationship, had higher levels of education, spoke only English at home, and were first-time mothers. Members of the online sample were significantly more likely to have poor self-rated health and poor mental health than the nationally representative sample. Health differences remained after adjusting for sociodemographic differences. Conclusions: Potential exists for feasible and low-cost e-epidemiological research with postpartum populations; however, researchers should consider the potential influence of sample nonrepresentativeness. Keywords: Internet; feasibility; online; postpartum; recruitment; representativeness.
    Original languageEnglish
    JournalJournal of Medical Internet Research
    Volume19
    Issue number3
    DOIs
    Publication statusPublished - 2017

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