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1123. Specificity of Diagnosis Codes and Adequacy of Supportive Documentation for Common Acute Pediatric Infections: Implications for Ambulatory Stewardship
BACKGROUND: Assessing the appropriateness of antibiotic prescribing in ambulatory care generally relies on the accuracy of diagnosis codes, which is uncertain. It is also uncertain if documented history and physical findings support antibiotic indications (AI). We completed a retrospective study of...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811332/ http://dx.doi.org/10.1093/ofid/ofz360.987 |
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author | Willis, Zachary Walters, Elizabeth |
author_facet | Willis, Zachary Walters, Elizabeth |
author_sort | Willis, Zachary |
collection | PubMed |
description | BACKGROUND: Assessing the appropriateness of antibiotic prescribing in ambulatory care generally relies on the accuracy of diagnosis codes, which is uncertain. It is also uncertain if documented history and physical findings support antibiotic indications (AI). We completed a retrospective study of pediatric primary care (PPC) encounters to determine: A) if documented findings supported documented AI; and B) whether diagnosis codes captured documented AI (figure). METHODS: We conducted point-prevalence audits of the 9 PPC clinics in our healthcare system, randomly selecting one weekday per month to review all visits between 9/2017 and 4/2018. We included only encounters with antibiotic prescribing. We reviewed clinician notes, orders, laboratory results, and ICD-10 diagnosis codes. We recorded demographics; visit date/location; AI as documented in notes; history, examination, and laboratory findings; and diagnosis codes. We used national guidelines to determine whether documentation supported AI. We calculated the sensitivity of diagnosis codes using documented AI as the gold standard. RESULTS: The sample included 452 encounters. The most common AI were acute otitis media (AOM), pharyngitis, and sinusitis. For AOM, 163 of 168 encounters (97.0%) had an appropriate diagnosis code; for pharyngitis, 127 of 138 (92.0%); and for sinusitis, 68 of 75 (90.7%). For AOM, 160 of 168 encounters (95.2%) had adequate documentation of supportive findings. For sinusitis, 44 of 75 encounters had adequate supporting history and/or examination findings (58.7%). For pharyngitis, while 135 of 139 (97.1%) had a positive streptococcal test, 104 of 139 (74.8%) had history and examination findings to support testing. CONCLUSION: By chart review, we identified each AI and evaluated whether findings supported those AI. The sensitivity of diagnosis codes for AI ranged from 90.7–97.0% for common conditions; this result can inform the design of ambulatory stewardship programs. Only 74.8% of children treated for pharyngitis and 58.7% of children treated for sinusitis had sufficient supporting documentation. Use of discrete data elements alone (Figure 1) may result in overestimates of the proportion of children for whom antibiotics are appropriate. Further research is needed across healthcare settings. [Image: see text] DISCLOSURES: All authors: No reported disclosures |
format | Online Article Text |
id | pubmed-6811332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68113322019-10-28 1123. Specificity of Diagnosis Codes and Adequacy of Supportive Documentation for Common Acute Pediatric Infections: Implications for Ambulatory Stewardship Willis, Zachary Walters, Elizabeth Open Forum Infect Dis Abstracts BACKGROUND: Assessing the appropriateness of antibiotic prescribing in ambulatory care generally relies on the accuracy of diagnosis codes, which is uncertain. It is also uncertain if documented history and physical findings support antibiotic indications (AI). We completed a retrospective study of pediatric primary care (PPC) encounters to determine: A) if documented findings supported documented AI; and B) whether diagnosis codes captured documented AI (figure). METHODS: We conducted point-prevalence audits of the 9 PPC clinics in our healthcare system, randomly selecting one weekday per month to review all visits between 9/2017 and 4/2018. We included only encounters with antibiotic prescribing. We reviewed clinician notes, orders, laboratory results, and ICD-10 diagnosis codes. We recorded demographics; visit date/location; AI as documented in notes; history, examination, and laboratory findings; and diagnosis codes. We used national guidelines to determine whether documentation supported AI. We calculated the sensitivity of diagnosis codes using documented AI as the gold standard. RESULTS: The sample included 452 encounters. The most common AI were acute otitis media (AOM), pharyngitis, and sinusitis. For AOM, 163 of 168 encounters (97.0%) had an appropriate diagnosis code; for pharyngitis, 127 of 138 (92.0%); and for sinusitis, 68 of 75 (90.7%). For AOM, 160 of 168 encounters (95.2%) had adequate documentation of supportive findings. For sinusitis, 44 of 75 encounters had adequate supporting history and/or examination findings (58.7%). For pharyngitis, while 135 of 139 (97.1%) had a positive streptococcal test, 104 of 139 (74.8%) had history and examination findings to support testing. CONCLUSION: By chart review, we identified each AI and evaluated whether findings supported those AI. The sensitivity of diagnosis codes for AI ranged from 90.7–97.0% for common conditions; this result can inform the design of ambulatory stewardship programs. Only 74.8% of children treated for pharyngitis and 58.7% of children treated for sinusitis had sufficient supporting documentation. Use of discrete data elements alone (Figure 1) may result in overestimates of the proportion of children for whom antibiotics are appropriate. Further research is needed across healthcare settings. [Image: see text] DISCLOSURES: All authors: No reported disclosures Oxford University Press 2019-10-23 /pmc/articles/PMC6811332/ http://dx.doi.org/10.1093/ofid/ofz360.987 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Willis, Zachary Walters, Elizabeth 1123. Specificity of Diagnosis Codes and Adequacy of Supportive Documentation for Common Acute Pediatric Infections: Implications for Ambulatory Stewardship |
title | 1123. Specificity of Diagnosis Codes and Adequacy of Supportive Documentation for Common Acute Pediatric Infections: Implications for Ambulatory Stewardship |
title_full | 1123. Specificity of Diagnosis Codes and Adequacy of Supportive Documentation for Common Acute Pediatric Infections: Implications for Ambulatory Stewardship |
title_fullStr | 1123. Specificity of Diagnosis Codes and Adequacy of Supportive Documentation for Common Acute Pediatric Infections: Implications for Ambulatory Stewardship |
title_full_unstemmed | 1123. Specificity of Diagnosis Codes and Adequacy of Supportive Documentation for Common Acute Pediatric Infections: Implications for Ambulatory Stewardship |
title_short | 1123. Specificity of Diagnosis Codes and Adequacy of Supportive Documentation for Common Acute Pediatric Infections: Implications for Ambulatory Stewardship |
title_sort | 1123. specificity of diagnosis codes and adequacy of supportive documentation for common acute pediatric infections: implications for ambulatory stewardship |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811332/ http://dx.doi.org/10.1093/ofid/ofz360.987 |
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