135 lines
4.5 KiB
YAML
135 lines
4.5 KiB
YAML
abstract: 'Three barriers investigators often encounter when conducting
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longitudinal work with homeless or other marginalized populations are
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difficulty tracking participants, high rates of no-shows for follow-up
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interviews, and high rates of loss to follow-up. Recent research has
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shown that homeless populations have substantial access to information
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technologies, including mobile devices and computers. These technologies
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have the potential both to make longitudinal data collection with
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homeless populations easier and to minimize some of these methodological
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challenges. This pilot study''s purpose was to test whether individuals
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who were homeless and sleeping on the streets-the Bstreet homeless-would
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answer questions remotely through a web-based data collection system at
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regular ``followup{''''} intervals. We attempted to simulate longitudinal
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data collection in a condensed time period. Participants (N = 21)
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completed an in-person baseline interview. Each participant was given a
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remotely reloadable gift card. Subsequently, weekly for 8 weeks,
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participants were sent an email with a link to a SurveyMonkey
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questionnaire. Participants were given 48 h to complete each
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questionnaire. Data were collected about life on the streets, service
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use, community inclusion, substance use, and high-risk sexual behaviors.
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Ten dollars was remotely loaded onto each participant''s gift card when
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they completed the questionnaire within the completion window. A
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substantial number of participants (67\% of the total sample and 86\% of
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the adjusted sample) completed at least seven out of the eight follow-up
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questionnaires. Most questionnaires were completed at public libraries,
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but several were completed at other types of locations (social service
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agencies, places of employment, relative/friend/acquaintance''s
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domiciles, or via mobile phone). Although some of the questions were
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quite sensitive, very few participants skipped any questions. The only
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variables associated with questionnaire completion were frequency of
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computer use and education- both positive associations. This pilot study
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suggests that collecting longitudinal data online may be feasible with a
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subpopulation of persons experiencing homelessness. We suspect that
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participant follow-up rates using web-based data collection methods have
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the potential to exceed follow-up rates using traditional in-person
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interviews. If this population of persons experiencing street
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homelessness can be successful with this method of data collection,
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perhaps other disenfranchised, difficult-to-track, or difficult-to-reach
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populations could be followed using web-based data collection methods.
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Local governments are striving to decrease the ``digital divide,{''''}
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providing free or greatly discounted wi-fi connectivity as well as
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mobile computer lab access to low-income geographic areas. These
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actions, in combination with increased smart phone ownership, may permit
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vulnerable populations to connect and communicate with investigators.'
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affiliation: 'Eyrich-Garg, KM (Corresponding Author), Temple Univ, Sch Social Work,
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Coll Publ Hlth, Philadelphia, PA 19122 USA.
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Eyrich-Garg, Karin M., Temple Univ, Sch Social Work, Coll Publ Hlth, Philadelphia,
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PA 19122 USA.
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Moss, Shadiya L., Columbia Univ, Mailman Sch Publ Hlth, Dept Epidemiol, New York,
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NY USA.'
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author: Eyrich-Garg, Karin M. and Moss, Shadiya L.
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author-email: kgarg@temple.edu
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author_list:
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- family: Eyrich-Garg
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given: Karin M.
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- family: Moss
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given: Shadiya L.
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da: '2023-09-28'
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doi: 10.1007/s11524-016-0109-y
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eissn: 1468-2869
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files: []
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issn: 1099-3460
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journal: JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE
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keywords: 'Homeless.; Longitudinal data collection.; Information technology.;
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Technology.; Computers.; Mobile phones.; Tracking.; No-show.;
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Follow-up.; Internet'
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keywords-plus: 'SELF-INTERVIEWING ACASI; SOCIAL MEDIA USE; FOLLOW-UP; DRUG-USERS;
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T-ACASI; TECHNOLOGY USE; HEALTH-CARE; ALCOHOL-USE; INTERVENTION; TRIAL'
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language: English
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month: FEB
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number: '1'
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number-of-cited-references: '54'
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pages: 64-74
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papis_id: 21d5f7e15acf5e7f3f59ef78acb1b2c7
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ref: Eyrichgarg2017howfeasible
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times-cited: '4'
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title: How Feasible is Multiple Time Point Web-Based Data Collection with Individuals
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Experiencing Street Homelessness?
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type: article
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unique-id: WOS:000397406100007
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usage-count-last-180-days: '0'
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usage-count-since-2013: '15'
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volume: '94'
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web-of-science-categories: 'Public, Environmental \& Occupational Health; Medicine,
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General \&
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Internal'
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year: '2017'
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