Evidence map›Paper›PMID 37864226›Full record

Observational studyBMC medical informatics and decision making2023

Impact of clinical decision support on controlled substance prescribing.

Rachel B Seymour, Meghan K Wally, Joseph R Hsu, PRIMUM Group

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC medical informatics and decision making, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Rachel B SeymourDepartment of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, 1000 Blythe Boulevard, Charlotte, NC, 28203, USA. Rachel.Seymour@atriumhealth.org.
Meghan K WallyDepartment of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, 1000 Blythe Boulevard, Charlotte, NC, 28203, USA.
Joseph R HsuDepartment of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, 1000 Blythe Boulevard, Charlotte, NC, 28203, USA.
PRIMUM Group
OrthoCarolina · USAtrium Medical Cente · US

Funding

Implementing a Multimodal Path to RecOVEry (IMPROVE): Primary and Secondary Prevention of Opioid Overdose in Acute CareR01CE003001 · CE · CAROLINAS MEDICAL CENTER · PI HSU, JOSEPH, SEYMOUR, RACHEL · 2018 to 2020
$2.2M
Prescription Reporting with Immediate Medication Utilization Mapping (PRIMUM)U01CE002520 · CE · CAROLINAS MEDICAL CENTER · PI HSU, JOSEPH, SEYMOUR, RACHEL · 2014 to 2015
$399k
NCIPC CDC HHS R01 CE003001NCIPC CDC HHS U01 CE002520
6 · The paper itself

Abstract

backgroundPrescription drug overdose and misuse has reached alarming numbers. A persistent problem in clinical care is lack of easy, immediate access to all relevant information at the actionable time. Prescribers must digest an overwhelming amount of information from each patient's record as well as remain up-to-date with current evidence to provide optimal care. This study aimed to describe prescriber response to a prospective clinical decision support intervention designed to identify patients at risk of adverse events associated with misuse of prescription opioids/benzodiazepines and promote adherence to clinical practice guidelines.

methodsThis study was conducted at a large multi-center healthcare system, using data from the electronic health record. A prospective observational study was performed as clinical decision support (CDS) interventions were sequentially launched (January 2016-July 2019). All data were captured from the medical record prospectively via the CDS tools implemented. A consecutive series of all patient encounters including an opioid/benzodiazepine prescription were included in this study (n = 61,124,172 encounters; n = 674,785 patients). Physician response to the CDS interventions was the primary outcome, and it was assessed over time using control charts.

resultsAn alert was triggered in 23.5% of encounters with a prescription (n = 555,626). The prescriber decision was influenced in 18.1% of these encounters (n = 100,301). As the number of risk factors increased, the rate of decision being influenced also increased (p = 0.0001). The effect of the alert differed by drug, risk factor, specialty, and facility.

conclusionThe delivery of evidence-based, patient-specific information had an influence on the final prescription in nearly 1 in 5 encounters. Our intervention was sustained with minimal prescriber fatigue over many years in a large and diverse health system.

Indexed as

Controlled SubstancesDecision Support Systems, ClinicalAnalgesics, OpioidBenzodiazepinesDrug PrescriptionsHumansPractice Patterns, Physicians'Prospective StudiesAnalgesics, OpioidBenzodiazepinesControlled SubstancesClinical decision supportClinical practice guidelineDecision-makingImplementationOpioids

Identifiers

PMID37864226
PMCPMC10588193
OpenAlexW4387813816

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.