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.
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.
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