Evidence map›Paper›PMID 34124532›Full record

ArticleAmerican journal of accountable care2018

Increased Healthcare Utilization and Expenditures Associated With Chronic Opioid Therapy.

Douglas Thornton, Nilanjana Dwibedi, Virginia Scott, Charles D Ponte, X I Tan, Douglas Ziedonis, Usha Sambamoorthi

Open access · greenAbstract read
In one paragraph

Article in American journal of accountable care, 2018. 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
0.5field-weighted citation impact, top 27% 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, 3 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

7 authors at 2 institutions in 1 country.

Douglas ThorntonDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston (DT), Houston, TX; Department of Pharmaceutical Systems and Policy (ND, VS, XT, US) and Department of Clinical Pharmacy (CDP), School of Pharmacy, West Virginia University, Morgantown, WV; University of California San Diego (DZ), San Diego, CA.
Nilanjana DwibediDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston (DT), Houston, TX; Department of Pharmaceutical Systems and Policy (ND, VS, XT, US) and Department of Clinical Pharmacy (CDP), School of Pharmacy, West Virginia University, Morgantown, WV; University of California San Diego (DZ), San Diego, CA.
Virginia ScottDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston (DT), Houston, TX; Department of Pharmaceutical Systems and Policy (ND, VS, XT, US) and Department of Clinical Pharmacy (CDP), School of Pharmacy, West Virginia University, Morgantown, WV; University of California San Diego (DZ), San Diego, CA.
Charles D PonteDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston (DT), Houston, TX; Department of Pharmaceutical Systems and Policy (ND, VS, XT, US) and Department of Clinical Pharmacy (CDP), School of Pharmacy, West Virginia University, Morgantown, WV; University of California San Diego (DZ), San Diego, CA.
X I TanDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston (DT), Houston, TX; Department of Pharmaceutical Systems and Policy (ND, VS, XT, US) and Department of Clinical Pharmacy (CDP), School of Pharmacy, West Virginia University, Morgantown, WV; University of California San Diego (DZ), San Diego, CA.
Douglas ZiedonisDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston (DT), Houston, TX; Department of Pharmaceutical Systems and Policy (ND, VS, XT, US) and Department of Clinical Pharmacy (CDP), School of Pharmacy, West Virginia University, Morgantown, WV; University of California San Diego (DZ), San Diego, CA.
Usha SambamoorthiDepartment of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston (DT), Houston, TX; Department of Pharmaceutical Systems and Policy (ND, VS, XT, US) and Department of Clinical Pharmacy (CDP), School of Pharmacy, West Virginia University, Morgantown, WV; University of California San Diego (DZ), San Diego, CA.
University of Houston · USWest Virginia University · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Sally Lynn Hodder · 2012 to 2026
$81.0M
Research Training Program in the Behavioral and Biomedical SciencesT32GM081741 · NIGMS · WEST VIRGINIA UNIVERSITY · PI BERREBI, ALBERT S, SIMPKINS, JAMES W. · 2008 to 2018
$2.1M
NIGMS NIH HHS T32 GM081741NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

objectivesTo assess the association of the transition from incident opioid use to incident chronic opioid therapy (COT) with the trajectories of healthcare utilization and expenditures. STUDY

designWe used a longitudinal, retrospective cohort design, including seven 120-day time periods covering preindex (t

methodsMultivariable analyses were performed on utilization (population-averaged [PA] logistic regression), expenditures (PA generalized estimating equations), and expenditure estimates (counterfactual prediction). The data used were from a commercial claims database (10% random sample from the IQVIA Real-World Data Adjudicated Claims - US database) from 2006-2015.

resultsPatients on COT were more likely to use inpatient services (adjusted odds ratio, 1.11; 95% CI, 1.01-1.21) compared with those who did not. Although expenditures peaked during the index period (t

conclusionsThe period after incident opioid prescription but before transition to COT is an important time for payers to intervene.

Identifiers

PMID34124532
PMCPMC8194048
OpenAlexW3168279082

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.