Cargando…

The impact of opioid use on human and health care costs in surgical patients

BACKGROUND: Preoperative narcotic use impacts hospital cost and outcomes in surgical patients, but the underlying reasons are unclear. METHODS: A single-center retrospective analysis was performed on surgical patients admitted with intestinal obstruction (2010–2014). Patients were grouped into activ...

Descripción completa

Detalles Bibliográficos
Autores principales: Kassam, Al-Faraaz, Kim, Young, Cortez, Alexander R., Dhar, Vikrom K., Wima, Koffi, Shah, Shimul A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391897/
https://www.ncbi.nlm.nih.gov/pubmed/32754712
http://dx.doi.org/10.1016/j.sopen.2019.10.001
_version_ 1783564741468225536
author Kassam, Al-Faraaz
Kim, Young
Cortez, Alexander R.
Dhar, Vikrom K.
Wima, Koffi
Shah, Shimul A.
author_facet Kassam, Al-Faraaz
Kim, Young
Cortez, Alexander R.
Dhar, Vikrom K.
Wima, Koffi
Shah, Shimul A.
author_sort Kassam, Al-Faraaz
collection PubMed
description BACKGROUND: Preoperative narcotic use impacts hospital cost and outcomes in surgical patients, but the underlying reasons are unclear. METHODS: A single-center retrospective analysis was performed on surgical patients admitted with intestinal obstruction (2010–2014). Patients were grouped into active opioid and nonopioid user cohorts. Active opioid use was defined as having an opioid prescription overlapping the date of admission. Chronic opioid use was defined by duration of use ≥ 90 days. Admission or intervention due to opioid-related illness was determined through consensus decision of 2 independent, blinded clinicians. Primary end point was the effect of active opioid use on hospital resource utilization. RESULTS: During the study period, 296 patients were admitted with a primary diagnosis of intestinal obstruction. Active opioid users accounted for 55 (18.6%) of these patients, with a median length of opioid use of 164 days (interquartile range 54–344 days). Average length of use was 164 days, with the majority of active users (n = 42, 76.4%) meeting criteria for chronic use. A subgroup analysis of active users demonstrated that opioid-related conditions were responsible for 10 admissions (18.2%) and 2 readmissions (3.6%). Among active users requiring surgical intervention, 3 procedures (21.4%) were due to opioid-related illnesses. Median hospital length of stay was 2 days longer (8 vs 6 days) and hospital costs were greater ($12,241 vs $8489) among active users (P < .05 each). CONCLUSION: Active opioid users are predisposed to avoidable admissions and interventions for opioid-related illnesses. Efforts to address opioid use in the surgical population may improve patient outcomes and health care spending.
format Online
Article
Text
id pubmed-7391897
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-73918972020-08-03 The impact of opioid use on human and health care costs in surgical patients Kassam, Al-Faraaz Kim, Young Cortez, Alexander R. Dhar, Vikrom K. Wima, Koffi Shah, Shimul A. Surg Open Sci Article BACKGROUND: Preoperative narcotic use impacts hospital cost and outcomes in surgical patients, but the underlying reasons are unclear. METHODS: A single-center retrospective analysis was performed on surgical patients admitted with intestinal obstruction (2010–2014). Patients were grouped into active opioid and nonopioid user cohorts. Active opioid use was defined as having an opioid prescription overlapping the date of admission. Chronic opioid use was defined by duration of use ≥ 90 days. Admission or intervention due to opioid-related illness was determined through consensus decision of 2 independent, blinded clinicians. Primary end point was the effect of active opioid use on hospital resource utilization. RESULTS: During the study period, 296 patients were admitted with a primary diagnosis of intestinal obstruction. Active opioid users accounted for 55 (18.6%) of these patients, with a median length of opioid use of 164 days (interquartile range 54–344 days). Average length of use was 164 days, with the majority of active users (n = 42, 76.4%) meeting criteria for chronic use. A subgroup analysis of active users demonstrated that opioid-related conditions were responsible for 10 admissions (18.2%) and 2 readmissions (3.6%). Among active users requiring surgical intervention, 3 procedures (21.4%) were due to opioid-related illnesses. Median hospital length of stay was 2 days longer (8 vs 6 days) and hospital costs were greater ($12,241 vs $8489) among active users (P < .05 each). CONCLUSION: Active opioid users are predisposed to avoidable admissions and interventions for opioid-related illnesses. Efforts to address opioid use in the surgical population may improve patient outcomes and health care spending. Elsevier 2020-01-11 /pmc/articles/PMC7391897/ /pubmed/32754712 http://dx.doi.org/10.1016/j.sopen.2019.10.001 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kassam, Al-Faraaz
Kim, Young
Cortez, Alexander R.
Dhar, Vikrom K.
Wima, Koffi
Shah, Shimul A.
The impact of opioid use on human and health care costs in surgical patients
title The impact of opioid use on human and health care costs in surgical patients
title_full The impact of opioid use on human and health care costs in surgical patients
title_fullStr The impact of opioid use on human and health care costs in surgical patients
title_full_unstemmed The impact of opioid use on human and health care costs in surgical patients
title_short The impact of opioid use on human and health care costs in surgical patients
title_sort impact of opioid use on human and health care costs in surgical patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391897/
https://www.ncbi.nlm.nih.gov/pubmed/32754712
http://dx.doi.org/10.1016/j.sopen.2019.10.001
work_keys_str_mv AT kassamalfaraaz theimpactofopioiduseonhumanandhealthcarecostsinsurgicalpatients
AT kimyoung theimpactofopioiduseonhumanandhealthcarecostsinsurgicalpatients
AT cortezalexanderr theimpactofopioiduseonhumanandhealthcarecostsinsurgicalpatients
AT dharvikromk theimpactofopioiduseonhumanandhealthcarecostsinsurgicalpatients
AT wimakoffi theimpactofopioiduseonhumanandhealthcarecostsinsurgicalpatients
AT shahshimula theimpactofopioiduseonhumanandhealthcarecostsinsurgicalpatients
AT kassamalfaraaz impactofopioiduseonhumanandhealthcarecostsinsurgicalpatients
AT kimyoung impactofopioiduseonhumanandhealthcarecostsinsurgicalpatients
AT cortezalexanderr impactofopioiduseonhumanandhealthcarecostsinsurgicalpatients
AT dharvikromk impactofopioiduseonhumanandhealthcarecostsinsurgicalpatients
AT wimakoffi impactofopioiduseonhumanandhealthcarecostsinsurgicalpatients
AT shahshimula impactofopioiduseonhumanandhealthcarecostsinsurgicalpatients