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Empirical research

Extracting Patient-Centered Outcomes from Clinical Notes in Electronic Health Records: Assessment of Urinary Incontinence After Radical Prostatectomy

Authors:

Davide Gori,

University of Bologna, IT
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Imon Banerjee,

Stanford University, US
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Benjamin I. Chung,

Stanford University, US
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Michelle Ferrari,

Stanford University, US
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Paola Rucci,

University of Bologna, IT
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Douglas W. Blayney,

Stanford University, US
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James D. Brooks,

Stanford University, US
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Tina Hernandez-Boussard

Stanford University, US
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Abstract

Objective: To assess documentation of urinary incontinence (UI) in prostatectomy patients using unstructured clinical notes from Electronic Health Records (EHRs).

Methods: We developed a weakly-supervised natural language processing tool to extract assessments, as recorded in unstructured text notes, of UI before and after radical prostatectomy in a single academic practice across multiple clinicians. Validation was carried out using a subset of patients who completed EPIC-26 surveys before and after surgery. The prevalence of UI as assessed by EHR and EPIC-26 was compared using repeated-measures ANOVA. The agreement of reported UI between EHR and EPIC-26 was evaluated using Cohen’s Kappa coefficient.

Results: A total of 4870 patients and 716 surveys were included. Preoperative prevalence of UI was 12.7 percent. Postoperative prevalence was 71.8 percent at 3 months, 50.2 percent at 6 months and 34.4 and 41.8 at 12 and 24 months, respectively. Similar rates were recorded by physicians in the EHR, particularly for early follow-up. For all time points, the agreement between EPIC-26 and the EHR was moderate (all p < 0.001) and ranged from 86.7 percent agreement at baseline (Kappa = 0.48) to 76.4 percent agreement at 24 months postoperative (Kappa = 0.047).

Conclusions: We have developed a tool to assess documentation of UI after prostatectomy using EHR clinical notes. Our results suggest such a tool can facilitate unbiased measurement of important PCOs using real-word data, which are routinely recorded in EHR unstructured clinician notes. Integrating PCO information into clinical decision support can help guide shared treatment decisions and promote patient-valued care.

How to Cite: Gori D, Banerjee I, Chung BI, Ferrari M, Rucci P, Blayney DW, et al.. Extracting Patient-Centered Outcomes from Clinical Notes in Electronic Health Records: Assessment of Urinary Incontinence After Radical Prostatectomy. eGEMs (Generating Evidence & Methods to improve patient outcomes). 2019;7(1):43. DOI: http://doi.org/10.5334/egems.297
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  Published on 20 Aug 2019

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