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

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2023-09-28 14:46:10 +00:00
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?
2023-10-01 08:15:07 +00:00
type: article
2023-09-28 14:46:10 +00:00
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'