Acceptability of smartphone text- and voice-based ecological momentary assessment (EMA) methods among low income housing residents in New York City

Dustin T. Duncan, William C. Goedel, James H. Williams, Brian Elbel

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: This study aimed to evaluate the acceptability of smartphone-based text message- and voice-based ecological momentary assessment (EMA) methods among a sample of low-income housing residents in New York City. Using data from the community-based NYC Low Income Housing, Neighborhoods and Health Study (n = 112), the acceptability of text message- and voice-based EMA methods were assessed via survey. Results: Overall, 88.4% of participants reported that they would participate in a study that utilized text message-based EMA. These analyses showed no appreciable differences by sub-groups (p >.05). Overall, 80.2% of participants reported that they would participate in a study that used voice-based EMA. This voice-based method was least acceptable among participants younger than 25 years old compared to participants of all other ages, χ2(2) = 10.107, p =.006 (among the younger participants 60.7% reported "yes" regarding the anticipated acceptability of voice-based EMA and 39.3% reported "no"). Overall, this work suggests that text message- and voice-based EMA methods are acceptable for use among low-income housing residents. However, the association between age and the acceptability of voice-based EMA suggests that these methods may be less suited for younger populations.

Original languageEnglish (US)
Article number517
JournalBMC research notes
Volume10
Issue number1
DOIs
StatePublished - Oct 26 2017

Keywords

  • Acceptability
  • Ecological momentary assessment (EMA)
  • Health disparities
  • Low income populations
  • Public housing residents

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

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