Dataset Information

Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial.

ABSTRACT:

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.

SUBMITTER: Strombotne KL

PROVIDER: S-EPMC9060407 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial.

Strombotne Kiersten L KL Legler Aaron A Minegishi Taeko T Trafton Jodie A JA Oliva Elizabeth M EM Lewis Eleanor T ET Sohoni Pooja P Garrido Melissa M MM Pizer Steven D SD Frakt Austin B AB

Journal of general internal medicine 20220502 2

<h4>Background</h4>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.<h4>Objective</h4>To evaluate the impact of the case review mandate on serious adverse events (SA ...[more]

PMID: 35501628

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Dataset Information

Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial.

Background

Objective

Design

Participants

Intervention

Main measures

Key results

Conclusions

Trial registration

Publications

Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial.

Similar Datasets

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