Evidence map›Paper›PMID 31518885›Full record

ArticleDrug and alcohol dependence2019

US physicians' decision-making during buprenorphine-naloxone treatment: Conjoint analyses of dose and office visit adjustments based on patient progress.

Hannah K Knudsen, Michelle R Lofwall, Lewei Allison Lin, Sharon L Walsh, Jamie L Studts

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Hannah K KnudsenDepartment of Behavioral Science and Center on Drug and Alcohol Research, University of Kentucky, 845 Angliana Ave, Room 204, Lexington, KY, 40508, United States. Electronic address: hannah.knudsen@uky.edu.
Michelle R LofwallDepartment of Behavioral Science and Center on Drug and Alcohol Research, University of Kentucky, 845 Angliana Ave, Room 203, Lexington, KY, 40508, United States. Electronic address: michelle.lofwall@uky.edu.
Lewei Allison LinUniversity of Michigan, Department of Psychiatry and Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor MI, North Campus Research Complex, 2800 Plymouth Rd, Ann Arbor, MI, 48109, United States. Electronic address: leweil@med.umich.edu.
Sharon L WalshDepartment of Behavioral Science and Center on Drug and Alcohol Research, University of Kentucky, 845 Angliana Ave, Room 202, Lexington, KY, 40508, United States. Electronic address: sharon.walsh@uky.edu.
Jamie L StudtsDepartment of Behavioral Science, University of Kentucky, 127 Medical Behavioral Science Building, Lexington, KY, 40536-0086, United States. Electronic address: jamie.studts@uky.edu.
University of Kentucky · USUniversity of Michigan · US

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
Kentucky Center for Clinical and Translational ScienceUL1TR000117 · NCATS · UNIVERSITY OF KENTUCKY · PI KERN, PHILIP A · 2012 to 2015
$13.3M
Buprenorphine Treatment and Health Reform: Availability, Utilization, and QualityR33DA035641 · NIDA · UNIVERSITY OF KENTUCKY · PI KNUDSEN, HANNAH · 2014 to 2017
$2.0M
NCATS NIH HHS UL1 TR000117NCATS NIH HHS UL1 TR001998NIDA NIH HHS R33 DA035641
6 · The paper itself

Abstract

backgroundResearch on how US physicians individualize buprenorphine-naloxone treatment is limited. The current study uses conjoint analysis to examine the importance of current dose, visit frequency, clinical indicators, and payment type on office visit and dose adjustments during buprenorphine-naloxone treatment.

methodsA national random sample of 776 US buprenorphine-prescribing physicians participated in a mailed survey between October 2015 and July 2018. The survey contained 16 patient vignettes describing: (1) current dose, (2) urine drug test (UDT) results and opioid blockade, (3) recent intravenous use, (4) visit attendance, (5) counseling adherence, (6) payment, and (7) visit schedule. Physicians rated how they would adjust office visits (0=definitely decrease to 5=no change to 10=definitely increase) and the dose (0=definitely decrease to 5=no change to 10=definitely increase). Descriptive statistics were calculated for the vignette responses. Conjoint analysis was used to estimate relative importance scores and part-worth utilities.

resultsAcross the vignettes, the mean response for adjusting office visits was 7.43 (SD = 1.69), indicating a tendency to increase the frequency of visits. UDT results/opioid blockade, intravenous use, and current visit schedule had the greatest importance scores for office visit adjustments. The mean response for adjusting the dose was 5.48 (SD = 1.69), corresponding with a tendency toward not changing dose. Current dose, UDT results/opioid blockade, and intravenous use had the largest importance scores for dose adjustment.

conclusionsPhysicians individualized buprenorphine-naloxone treatment in response to hypothetical patient attributes by changing visit frequency and, to a lesser extent, modifying maintenance dose, in a manner generally consistent with current practice guidelines.

Indexed as

Clinical Decision-MakingBuprenorphine, Naloxone Drug CombinationFemaleHumansMaleMiddle AgedNarcotic AntagonistsOffice VisitsOpioid-Related DisordersPhysiciansPrecision MedicineBuprenorphine, Naloxone Drug CombinationNarcotic AntagonistsBuprenorphine-NaloxoneConjoint analysisDose adjustmentMedical managementPhysician survey

Identifiers

PMID31518885
PMCPMC6910718
OpenAlexW2971108112

What OpenQuestion holds

Textmetadata
LicenceTDM
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.