Literature DB >> 25223518

Agreement between upper respiratory diagnoses from self-report questionnaires and medical records in an occupational health setting.

Jessica Weakley1, Mayris P Webber, Fen Ye, Rachel Zeig-Owens, Hillel W Cohen, Charles B Hall, Kerry Kelly, David J Prezant.   

Abstract

BACKGROUND: The Fire Department of the City of New York World Trade Center Health Program (FDNY-WTCHP) monitors and treats WTC-related illnesses through regular physical exams, self-administered health questionnaires and treatment visits, as indicated.
METHODS: We measured positive and negative predictive values (PPV, NPV) of self-reported diagnoses of GERD and rhinosinusitis from the health questionnaires in relation to FDNY physician diagnoses from the medical record.
RESULTS: Self-reported GERD had PPV and NPV of 54.0% and 95.7%, respectively; for rhinosinusitis, the PPV and NPV were 48.2% and 91.9%. These characteristics improved considerably (PPV 78.0% GERD and PPV 76.5% rhinosinusitis) in a subpopulation receiving medications from the FDNY-WTCHP.
CONCLUSION: The PPV of self-reported diagnoses demonstrates only modest value in predicting physician diagnoses, although high NPVs suggest benefit in ruling out disease. In subgroups selected for their higher disease prevalence, self-reported diagnoses may be considerably more useful.
© 2014 Wiley Periodicals, Inc.

Keywords:  GERD; World Trade Center; firefighters and EMS; medical records; negative predictive values; positive predictive values; rhinosinusitis; self-report

Mesh:

Year:  2014        PMID: 25223518     DOI: 10.1002/ajim.22353

Source DB:  PubMed          Journal:  Am J Ind Med        ISSN: 0271-3586            Impact factor:   2.214


  1 in total

1.  Agreement Between Self-Reported and Confirmed Cancer Diagnoses in New York City Firefighters and EMS Workers, 2001-2011.

Authors:  Rachel Zeig-Owens; Andrea Kablanian; Mayris P Webber; Yang Liu; Edward Mayerson; Theresa Schwartz; Nadia Jaber; Kerry J Kelly; David J Prezant
Journal:  Public Health Rep       Date:  2016 Jan-Feb       Impact factor: 2.792

  1 in total

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