Response to an Online Version of a PRAMS-like Survey in South Dakota

Matern Child Health J. 2017 Feb;21(2):335-342. doi: 10.1007/s10995-016-2118-6.

Abstract

Objectives Increasing response rates for research surveys is challenging, especially in minority populations. A unique minority group in South Dakota is the American Indian (AI) representing about 9 % of the state's population and 15 % of the births. The purpose of this study was to determine race differences among White, AI, and Other Races (OR) in contact, participation, and response rates in the South Dakota Pregnancy Risk Assessment Monitoring System (SDPRAMS). We determined response rates of an online version and evaluated demographic characteristics associated with online response. Methods The SDPRAMS was sent to 1814 mothers randomly sampled from 2014 birth certificate files. Results The weighted response rate was 71.3 %, and varied significantly among the three races: 79.1 % for White race, 48.6 % for AI race, and 60.6 % for OR (p < 0.01). A higher percent of White mothers responded online than AI and OR (35, 25 and 26 %, respectively; p = 0.001); no difference between AI and OR. Online responders were more likely to be married, educated beyond high school and having annual incomes ≥$25,000 (p ≤ 0.01 for all), but only education (p < 0.001) and income (p = 0.05) remained significant in the logistic models. 26 % of White, 43 % of AI, and 46 % of OR online respondents used a smartphone to respond (p = 0.01). Conclusions Response rates differed among races. An online version of the PRAMS is a viable method of response to offer participants. Response to the online version via smartphone may increase response from minority populations, emphasizing the importance of mobile friendly formats.

Keywords: Online survey; PRAMS; Race American Indians; Response rates; Smartphone.

MeSH terms

  • Adolescent
  • Adult
  • Female
  • Humans
  • Indians, North American / ethnology
  • Indians, North American / psychology
  • Indians, North American / statistics & numerical data*
  • Patient Selection*
  • Population Surveillance / methods
  • South Dakota / ethnology
  • Surveys and Questionnaires / statistics & numerical data*
  • White People / ethnology
  • White People / psychology
  • White People / statistics & numerical data*