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Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial
BACKGROUND: Risk of overdose, suicide, and other adverse outcomes are elevated among sub-populations prescribed opioid analgesics. To address this, the Veterans Health Administration (VHA) developed the Stratification Tool for Opioid Risk Mitigation (STORM)—a provider-facing dashboard that utilizes...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060407/ https://www.ncbi.nlm.nih.gov/pubmed/35501628 http://dx.doi.org/10.1007/s11606-022-07617-y |
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author | Strombotne, Kiersten L Legler, Aaron Minegishi, Taeko Trafton, Jodie A Oliva, Elizabeth M Lewis, Eleanor T Sohoni, Pooja Garrido, Melissa M Pizer, Steven D Frakt, Austin B |
author_facet | Strombotne, Kiersten L Legler, Aaron Minegishi, Taeko Trafton, Jodie A Oliva, Elizabeth M Lewis, Eleanor T Sohoni, Pooja Garrido, Melissa M Pizer, Steven D Frakt, Austin B |
author_sort | Strombotne, Kiersten L |
collection | PubMed |
description | BACKGROUND: Risk of overdose, suicide, and other adverse outcomes are elevated among sub-populations prescribed opioid analgesics. To address this, the Veterans Health Administration (VHA) developed the Stratification Tool for Opioid Risk Mitigation (STORM)—a provider-facing dashboard that utilizes predictive analytics to stratify patients prescribed opioids based on risk for overdose/suicide. OBJECTIVE: To evaluate the impact of the case review mandate on serious adverse events (SAEs) and all-cause mortality among high-risk Veterans. DESIGN: A 23-month stepped-wedge cluster randomized controlled trial in all 140 VHA medical centers between 2018 and 2020. PARTICIPANTS: A total of 44,042 patients actively prescribed opioid analgesics with high STORM risk scores (i.e., percentiles 1% to 5%) for an overdose or suicide-related event. INTERVENTION: A mandate requiring providers to perform case reviews on opioid analgesic-prescribed patients at high risk of overdose/suicide. MAIN MEASURES: Nine serious adverse events (SAEs), case review completion, number of risk mitigation strategies, and all-cause mortality. KEY RESULTS: Mandated review inclusion was associated with a significant decrease in all-cause mortality within 4 months of inclusion (OR: 0.78; 95% CI: 0.65–0.94). There was no detectable effect on SAEs. Stepped-wedge analyses found that mandated review patients were five times more likely to receive a case review than non-mandated patients with similar risk (OR: 5.1; 95% CI: 3.64–7.23) and received more risk mitigation strategies than non-mandated patients (0.498; CI: 0.39–0.61). CONCLUSIONS: Among VHA patients prescribed opioid analgesics, identifying high risk patients and mandating they receive an interdisciplinary case review was associated with a decrease in all-cause mortality. Results suggest that providers can leverage predictive analytic-targeted population health approaches and interdisciplinary collaboration to improve patient outcomes. TRIAL REGISTRATION: ISRCTN16012111 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-022-07617-y. |
format | Online Article Text |
id | pubmed-9060407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-90604072022-05-03 Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial Strombotne, Kiersten L Legler, Aaron Minegishi, Taeko Trafton, Jodie A Oliva, Elizabeth M Lewis, Eleanor T Sohoni, Pooja Garrido, Melissa M Pizer, Steven D Frakt, Austin B J Gen Intern Med Original Research BACKGROUND: Risk of overdose, suicide, and other adverse outcomes are elevated among sub-populations prescribed opioid analgesics. To address this, the Veterans Health Administration (VHA) developed the Stratification Tool for Opioid Risk Mitigation (STORM)—a provider-facing dashboard that utilizes predictive analytics to stratify patients prescribed opioids based on risk for overdose/suicide. OBJECTIVE: To evaluate the impact of the case review mandate on serious adverse events (SAEs) and all-cause mortality among high-risk Veterans. DESIGN: A 23-month stepped-wedge cluster randomized controlled trial in all 140 VHA medical centers between 2018 and 2020. PARTICIPANTS: A total of 44,042 patients actively prescribed opioid analgesics with high STORM risk scores (i.e., percentiles 1% to 5%) for an overdose or suicide-related event. INTERVENTION: A mandate requiring providers to perform case reviews on opioid analgesic-prescribed patients at high risk of overdose/suicide. MAIN MEASURES: Nine serious adverse events (SAEs), case review completion, number of risk mitigation strategies, and all-cause mortality. KEY RESULTS: Mandated review inclusion was associated with a significant decrease in all-cause mortality within 4 months of inclusion (OR: 0.78; 95% CI: 0.65–0.94). There was no detectable effect on SAEs. Stepped-wedge analyses found that mandated review patients were five times more likely to receive a case review than non-mandated patients with similar risk (OR: 5.1; 95% CI: 3.64–7.23) and received more risk mitigation strategies than non-mandated patients (0.498; CI: 0.39–0.61). CONCLUSIONS: Among VHA patients prescribed opioid analgesics, identifying high risk patients and mandating they receive an interdisciplinary case review was associated with a decrease in all-cause mortality. Results suggest that providers can leverage predictive analytic-targeted population health approaches and interdisciplinary collaboration to improve patient outcomes. TRIAL REGISTRATION: ISRCTN16012111 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-022-07617-y. Springer International Publishing 2022-05-02 2023-02 /pmc/articles/PMC9060407/ /pubmed/35501628 http://dx.doi.org/10.1007/s11606-022-07617-y Text en © The Author(s), under exclusive licence to Society of General Internal Medicine 2022 |
spellingShingle | Original Research Strombotne, Kiersten L Legler, Aaron Minegishi, Taeko Trafton, Jodie A Oliva, Elizabeth M Lewis, Eleanor T Sohoni, Pooja Garrido, Melissa M Pizer, Steven D Frakt, Austin B Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial |
title | Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial |
title_full | Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial |
title_fullStr | Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial |
title_full_unstemmed | Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial |
title_short | Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial |
title_sort | effect of a predictive analytics-targeted program in patients on opioids: a stepped-wedge cluster randomized controlled trial |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060407/ https://www.ncbi.nlm.nih.gov/pubmed/35501628 http://dx.doi.org/10.1007/s11606-022-07617-y |
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