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Assessing Representativeness of Seriously Ill Patient Survey Responders in a Pragmatic Clinical Trial

Bibliographic Data

ID15314872
AuthorsAaron J Chau (0000-0001-5869-9617, University of California System), Ron D Hays (0000-0001-6697-907X, University of California, Los Angeles), Ron Hays (University of California System), Anne M Walling (0000-0001-6026-3249, 3 VA Greater Los Angeles Health System, Los Angeles, CA), Lisa Gibbs (0000-0001-9702-6896, University of California System), Maryam Rahimi (0000-0003-3447-7344, University of California System), Rebecca L Sudore (0000-0003-4436-2209, University of California System), Neil Wenger (0000-0002-9884-3967, VA Greater Los Angeles Healthcare System, corresponding author), Neil S Wenger (3 VA Greater Los Angeles Health System, Los Angeles, CA), UC Health Care Planning Study Investigators
Year2023
Volume33
Issue2-3
Pages91-97
Publication date2023-04-01
Open AccessNo
TypeARTICLE
VenueEthnicity & Disease (JOURNAL)
Journal identifiersISSN: 1049-510X • E-ISSN: 1945-0826
PublisherEthnicity & Disease, Inc (PUBLISHER)
DOI10.18865/ed.33.2-3.091
PMID38845734
OpenAlexW4394674061
LanguageEN
References cited10

A tailored survey and recruitment strategy yielded a representative sample of seriously ill, largely older, primary care respondents in the context of a pragmatic clinical trial

Context (archaeology · Environmental health · Ethnic group · Family medicine · Geography · Health care · Population · Representativeness heuristic · Vulnerability (computing · Demography · Ethics in Clinical Research · Health Systems, Economic Evaluations, Quality of Life · Medicine · Palliative Care and End-of-Life Issues · Psychology · Social Psychology · Gerontology

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    Open Access•Billie Bonevski, Madeleine Randell et al.•BMC Medical Research Methodology•2014

  • A Systematic Review of Strategies to Enhance Response Rates and Representativeness of Patient Experience Surveys

    Open Access•Rebecca Anhang Price, Denise D Quigley et al.•Medical Care•2022

Highly citedNo

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