Cargando…

Identifying mortality risks in patients with opioid use disorder using brief screening assessment: Secondary mental health clinical records analysis

BACKGROUND: Risk assessments are widely used, but their ability to predict outcomes in opioid use disorder (OUD) treatment remains unclear. Therefore, the aim was to investigate if addiction-specific brief risk screening is effective in identifying high mortality risk groups and if subsequent clinic...

Descripción completa

Detalles Bibliográficos
Autores principales: Bogdanowicz, Karolina Magda, Stewart, Robert, Chang, Chin-Kuo, Downs, Johnny, Khondoker, Mizanur, Shetty, Hitesh, Strang, John, Hayes, Richard Derek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907127/
https://www.ncbi.nlm.nih.gov/pubmed/27179824
http://dx.doi.org/10.1016/j.drugalcdep.2016.04.036
_version_ 1782437515455627264
author Bogdanowicz, Karolina Magda
Stewart, Robert
Chang, Chin-Kuo
Downs, Johnny
Khondoker, Mizanur
Shetty, Hitesh
Strang, John
Hayes, Richard Derek
author_facet Bogdanowicz, Karolina Magda
Stewart, Robert
Chang, Chin-Kuo
Downs, Johnny
Khondoker, Mizanur
Shetty, Hitesh
Strang, John
Hayes, Richard Derek
author_sort Bogdanowicz, Karolina Magda
collection PubMed
description BACKGROUND: Risk assessments are widely used, but their ability to predict outcomes in opioid use disorder (OUD) treatment remains unclear. Therefore, the aim was to investigate if addiction-specific brief risk screening is effective in identifying high mortality risk groups and if subsequent clinical actions following risk assessment impacts on mortality levels. METHODS: Opioid use disorder (OUD) patients were identified in the South London and Maudsley Case Register. Deaths were identified through database linkage to the national mortality dataset. Cox and competing-risk regression were used to model associations between brief risk assessment domains and all-cause and overdose mortality in 4488 OUD patients, with up-to 6-year follow-up time where 227 deaths were registered. Data were stratified by admission to general mental health services. RESULTS: All-cause mortality was significantly associated with unsafe injecting (HR 1.53, 95% CI 1.10–2.11) and clinically appraised likelihood of accidental overdose (HR 1.48, 95% CI 1.00–2.19). Overdose-mortality was significantly associated with unsafe injecting (SHR 2.52, 95% CI 1.11–5.70) and clinically appraised suicidality (SHR 2.89, 95% CI 1.38–6.03). Suicidality was associated with a twofold increase in mortality risk among OUD patients who were not admitted to mental health services within 2 months of their risk assessment (HR 2.03, 95% CI 1.67–3.24). CONCLUSIONS: Diagnosis-specific brief risk screening can identify OUD patient subgroups at increased risk of all-cause and overdose mortality. OUD patients, where suicidality is evident, who are not admitted into services are particularly vulnerable.
format Online
Article
Text
id pubmed-4907127
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-49071272016-07-01 Identifying mortality risks in patients with opioid use disorder using brief screening assessment: Secondary mental health clinical records analysis Bogdanowicz, Karolina Magda Stewart, Robert Chang, Chin-Kuo Downs, Johnny Khondoker, Mizanur Shetty, Hitesh Strang, John Hayes, Richard Derek Drug Alcohol Depend Full Length Article BACKGROUND: Risk assessments are widely used, but their ability to predict outcomes in opioid use disorder (OUD) treatment remains unclear. Therefore, the aim was to investigate if addiction-specific brief risk screening is effective in identifying high mortality risk groups and if subsequent clinical actions following risk assessment impacts on mortality levels. METHODS: Opioid use disorder (OUD) patients were identified in the South London and Maudsley Case Register. Deaths were identified through database linkage to the national mortality dataset. Cox and competing-risk regression were used to model associations between brief risk assessment domains and all-cause and overdose mortality in 4488 OUD patients, with up-to 6-year follow-up time where 227 deaths were registered. Data were stratified by admission to general mental health services. RESULTS: All-cause mortality was significantly associated with unsafe injecting (HR 1.53, 95% CI 1.10–2.11) and clinically appraised likelihood of accidental overdose (HR 1.48, 95% CI 1.00–2.19). Overdose-mortality was significantly associated with unsafe injecting (SHR 2.52, 95% CI 1.11–5.70) and clinically appraised suicidality (SHR 2.89, 95% CI 1.38–6.03). Suicidality was associated with a twofold increase in mortality risk among OUD patients who were not admitted to mental health services within 2 months of their risk assessment (HR 2.03, 95% CI 1.67–3.24). CONCLUSIONS: Diagnosis-specific brief risk screening can identify OUD patient subgroups at increased risk of all-cause and overdose mortality. OUD patients, where suicidality is evident, who are not admitted into services are particularly vulnerable. Elsevier 2016-07-01 /pmc/articles/PMC4907127/ /pubmed/27179824 http://dx.doi.org/10.1016/j.drugalcdep.2016.04.036 Text en © 2016 The Author(s) 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 Full Length Article
Bogdanowicz, Karolina Magda
Stewart, Robert
Chang, Chin-Kuo
Downs, Johnny
Khondoker, Mizanur
Shetty, Hitesh
Strang, John
Hayes, Richard Derek
Identifying mortality risks in patients with opioid use disorder using brief screening assessment: Secondary mental health clinical records analysis
title Identifying mortality risks in patients with opioid use disorder using brief screening assessment: Secondary mental health clinical records analysis
title_full Identifying mortality risks in patients with opioid use disorder using brief screening assessment: Secondary mental health clinical records analysis
title_fullStr Identifying mortality risks in patients with opioid use disorder using brief screening assessment: Secondary mental health clinical records analysis
title_full_unstemmed Identifying mortality risks in patients with opioid use disorder using brief screening assessment: Secondary mental health clinical records analysis
title_short Identifying mortality risks in patients with opioid use disorder using brief screening assessment: Secondary mental health clinical records analysis
title_sort identifying mortality risks in patients with opioid use disorder using brief screening assessment: secondary mental health clinical records analysis
topic Full Length Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907127/
https://www.ncbi.nlm.nih.gov/pubmed/27179824
http://dx.doi.org/10.1016/j.drugalcdep.2016.04.036
work_keys_str_mv AT bogdanowiczkarolinamagda identifyingmortalityrisksinpatientswithopioidusedisorderusingbriefscreeningassessmentsecondarymentalhealthclinicalrecordsanalysis
AT stewartrobert identifyingmortalityrisksinpatientswithopioidusedisorderusingbriefscreeningassessmentsecondarymentalhealthclinicalrecordsanalysis
AT changchinkuo identifyingmortalityrisksinpatientswithopioidusedisorderusingbriefscreeningassessmentsecondarymentalhealthclinicalrecordsanalysis
AT downsjohnny identifyingmortalityrisksinpatientswithopioidusedisorderusingbriefscreeningassessmentsecondarymentalhealthclinicalrecordsanalysis
AT khondokermizanur identifyingmortalityrisksinpatientswithopioidusedisorderusingbriefscreeningassessmentsecondarymentalhealthclinicalrecordsanalysis
AT shettyhitesh identifyingmortalityrisksinpatientswithopioidusedisorderusingbriefscreeningassessmentsecondarymentalhealthclinicalrecordsanalysis
AT strangjohn identifyingmortalityrisksinpatientswithopioidusedisorderusingbriefscreeningassessmentsecondarymentalhealthclinicalrecordsanalysis
AT hayesrichardderek identifyingmortalityrisksinpatientswithopioidusedisorderusingbriefscreeningassessmentsecondarymentalhealthclinicalrecordsanalysis