wow-inequalities/02-data/intermediate/wos_sample/e2d4d96a708168162b47884351c93c05-eyrich-garg-karin-m/info.yaml

abstract: 'Three barriers investigators often encounter when conducting

  longitudinal work with homeless or other marginalized populations are

  difficulty tracking participants, high rates of no-shows for follow-up

  interviews, and high rates of loss to follow-up. Recent research has

  shown that homeless populations have substantial access to information

  technologies, including mobile devices and computers. These technologies

  have the potential both to make longitudinal data collection with

  homeless populations easier and to minimize some of these methodological

  challenges. This pilot study''s purpose was to test whether individuals

  who were homeless and sleeping on the streets-the Bstreet homeless-would

  answer questions remotely through a web-based data collection system at

  regular ``followup{''''} intervals. We attempted to simulate longitudinal

  data collection in a condensed time period. Participants (N = 21)

  completed an in-person baseline interview. Each participant was given a

  remotely reloadable gift card. Subsequently, weekly for 8 weeks,

  participants were sent an email with a link to a SurveyMonkey

  questionnaire. Participants were given 48 h to complete each

  questionnaire. Data were collected about life on the streets, service

  use, community inclusion, substance use, and high-risk sexual behaviors.

  Ten dollars was remotely loaded onto each participant''s gift card when

  they completed the questionnaire within the completion window. A

  substantial number of participants (67\% of the total sample and 86\% of

  the adjusted sample) completed at least seven out of the eight follow-up

  questionnaires. Most questionnaires were completed at public libraries,

  but several were completed at other types of locations (social service

  agencies, places of employment, relative/friend/acquaintance''s

  domiciles, or via mobile phone). Although some of the questions were

  quite sensitive, very few participants skipped any questions. The only

  variables associated with questionnaire completion were frequency of

  computer use and education- both positive associations. This pilot study

  suggests that collecting longitudinal data online may be feasible with a

  subpopulation of persons experiencing homelessness. We suspect that

  participant follow-up rates using web-based data collection methods have

  the potential to exceed follow-up rates using traditional in-person

  interviews. If this population of persons experiencing street

  homelessness can be successful with this method of data collection,

  perhaps other disenfranchised, difficult-to-track, or difficult-to-reach

  populations could be followed using web-based data collection methods.

  Local governments are striving to decrease the ``digital divide,{''''}

  providing free or greatly discounted wi-fi connectivity as well as

  mobile computer lab access to low-income geographic areas. These

  actions, in combination with increased smart phone ownership, may permit

  vulnerable populations to connect and communicate with investigators.'
affiliation: 'Eyrich-Garg, KM (Corresponding Author), Temple Univ, Sch Social Work,
  Coll Publ Hlth, Philadelphia, PA 19122 USA.

  Eyrich-Garg, Karin M., Temple Univ, Sch Social Work, Coll Publ Hlth, Philadelphia,
  PA 19122 USA.

  Moss, Shadiya L., Columbia Univ, Mailman Sch Publ Hlth, Dept Epidemiol, New York,
  NY USA.'
author: Eyrich-Garg, Karin M. and Moss, Shadiya L.
author-email: kgarg@temple.edu
author_list:
- family: Eyrich-Garg
  given: Karin M.
- family: Moss
  given: Shadiya L.
da: '2023-09-28'
doi: 10.1007/s11524-016-0109-y
eissn: 1468-2869
files: []
issn: 1099-3460
journal: JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE
keywords: 'Homeless.; Longitudinal data collection.; Information technology.;

  Technology.; Computers.; Mobile phones.; Tracking.; No-show.;

  Follow-up.; Internet'
keywords-plus: 'SELF-INTERVIEWING ACASI; SOCIAL MEDIA USE; FOLLOW-UP; DRUG-USERS;

  T-ACASI; TECHNOLOGY USE; HEALTH-CARE; ALCOHOL-USE; INTERVENTION; TRIAL'
language: English
month: FEB
number: '1'
number-of-cited-references: '54'
pages: 64-74
papis_id: 21d5f7e15acf5e7f3f59ef78acb1b2c7
ref: Eyrichgarg2017howfeasible
times-cited: '4'
title: How Feasible is Multiple Time Point Web-Based Data Collection with Individuals
  Experiencing Street Homelessness?
type: article
unique-id: WOS:000397406100007
usage-count-last-180-days: '0'
usage-count-since-2013: '15'
volume: '94'
web-of-science-categories: 'Public, Environmental \& Occupational Health; Medicine,
  General \&

  Internal'
year: '2017'