• Amanda Renee Stephens, Renda Soylemez Wiener, and Michael H Ieong.
• 1 The Pulmonary Center, Boston University School of Medicine , Boston, Massachusetts.
• J Palliat Med. 2018 Mar 1; 21 (3): 284-289.

BackgroundAdvance care planning (ACP) is recommended for patients with chronic obstructive pulmonary disease (COPD). Yet, ACP documentation is often inaccessible at the time of impending respiratory failure, which may lead to unwanted and costly medical intensive care unit admissions. Electronic medical records (EMRs) contain directive fields and the ability to search for keywords and phrases, but these strategies to rapidly identify ACP have not been validated.ObjectivesThe aim of this study is to identify the percentage of patients with severe COPD exacerbation who have outpatient ACP documentation and validate two EMR-based methods of rapidly identifying ACP documentation.DesignRetrospective cohort analysis.Setting/SubjectsPatients who required medical intensive care unit admission for exacerbation of COPD at an urban safety-net hospital between 2009 and 2014 were observed.MeasurementsWe analyzed the sensitivity and specificity of two methods to rapidly identify outpatient ACP documentation: (1) documentation in the EMR directive field and (2) text string search of notes for key phrases, compared with a gold standard clinician review.ResultsOur cohort (n = 311) was racially diverse and severely ill with obstructive lung disease. One hundred thirty-two patients (43%) had ACP documentation by gold standard chart review. Compared with a gold standard chart review, a parsimonious text string search was both sensitive (95%) and specific (97%), while the directive box was specific (100%), but not sensitive (54%), for identifying outpatient ACP documentation.ConclusionsEMR directive fields may substantially underestimate ACP when used alone. As full clinician chart reviews are impractical in the emergent setting, text string searches may be a useful strategy to rapidly identify ACP discussions for clinical care and research.

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