Evidence map›Paper›PMID 33608060›Full record

Observational studyAddiction science & clinical practice2021

Creation of an algorithm for clinical decision support for treatment of opioid use disorder with buprenorphine in primary care.

Adriane M Dela Cruz, Robrina Walker, Ronny Pipes, Sidarth Wakhlu, Madhukar H Trivedi

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Addiction science & clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04059016 (NIDA CTN Protocol 0090 Innovatively Increasing PCP Prescribing of Buprenorphine), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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.

NCT04059016 completednot on this map

NIDA CTN Protocol 0090 Innovatively Increasing PCP Prescribing of Buprenorphine: Measurement Based Care and Integrated Electronic Solution (MBC4OUD)

TypeobservationalSponsorUniversity of Texas Southwestern Medical CenterRan2019 to 2024Enrolled75ConditionsOpioid Abuse and AddictionArmsMBC4OUD
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  5. Article
  6. Review
  7. Article
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  9. 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

5 authors.

Adriane M Dela CruzDepartment of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA. adriane.delacruz@utsouthwestern.edu.ORCID 0000-0002-2268-498X
Robrina WalkerDepartment of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.
Ronny PipesDepartment of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.
Sidarth WakhluDepartment of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.
Madhukar H TrivediDepartment of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.

Funding

Project-004UG1DA020024 · NIDA · UT SOUTHWESTERN MEDICAL CENTER · PI Steven J Shoptaw, MADHUKAR H. TRIVEDI · 2015 to 2026
$71.6M
NIDA NIH HHS UG1 DA020024NIDA NIH HHS UG1DA020024
6 · The paper itself

Abstract

backgroundThe treatment capacity for opioid use disorder (OUD) lags far behind the number of patients in need of treatment. Capacity is limited, in part, by the limited number of physicians who offer office based OUD treatment with buprenorphine. Measurement based care (MBC) has been proposed as a means to support primary care physicians in treating OUD. Here, we propose a set of measures and a clinical decision support algorithm to provide MBC for the treatment of OUD.

methodsWe utilized literature search and expert consensus to identify measures for universal screening and symptom tracking. We used expert consensus to create the clinical decision support algorithm.

resultsThe Tobacco, Alcohol, Prescription medication, and other Substance use (TAPS) tool was selected as the best published measure for universal screening in primary care. No published measure was identified as appropriate for symptom tracking or medication adherence; therefore, we created the OUD Symptom Checklist from the DSM-5 criteria for OUD and the Patient Adherence Questionnaire for Opioid Use Disorder Treatment (PAQ-OUD) to assess medication adherence. We developed and present a clinical decision support algorithm to provide direct guidance regarding treatment interventions during the first 12 weeks of buprenorphine treatment.

conclusionCreation of these tools is the necessary first step for implementation of MBC for the treatment of OUD with buprenorphine in primary care. Further work is needed to test the feasibility and acceptability of these tools. Trial Registration ClinicalTrials.gov; NCT04059016; 16 August 2019; retrospectively registered; https://clinicaltrials.gov/ct2/show/NCT04059016.

Indexed as

AlgorithmsDecision Support Systems, ClinicalOpiate Substitution TreatmentPrimary Health CareBuprenorphineHumansMedication AdherenceOpioid-Related DisordersWorkflowBuprenorphineBuprenorphineClinical decision supportMeasurement based care

Identifiers

PMID33608060
PMCPMC7893913

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Registered trials

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.