Evidence map›Paper›PMID 27477581›Full record

ArticlePain medicine (Malden, Mass.)2017

Factors Associated with Opioid Dose Increases: A Chart Review of Patients' First Year on Long-Term Opioids.

Christopher A Bautista, Ana-Maria Iosif, Barth L Wilsey, Joy A Melnikow, Althea Crichlow, Stephen G Henry

Abstract read
In one paragraph

Article in Pain medicine (Malden, Mass.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Christopher A BautistaDivision of General Internal Medicine, Department of Medicine, University of California San Francisco School of Medicine, San Francisco, California, USA.
Ana-Maria IosifDepartment of Public Health Sciences, University of California Davis, Davis, California, USA.
Barth L WilseyVA Northern California Health Care System, Mather, California, USA.
Joy A MelnikowUniversity of California Davis Center for Healthcare Policy and Research, Sacramento, California, USA.
Althea CrichlowUniversity of California Davis Center for Healthcare Policy and Research, Sacramento, California, USA.
Stephen G HenryUniversity of California Davis Center for Healthcare Policy and Research, Sacramento, California, USA.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI PRIMO N. LARA · 2002 to 2026
$84.9M
UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
UC Davis Clinical and Translational Science CenterKL2TR000134 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$3.1M
NCATS NIH HHS KL2 TR000134NCATS NIH HHS UL1 TR000002NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

Objective: To examine encounter-level factors associated with opioid dose increases during patients' first year on opioid therapy for chronic pain. Design: Case-control study analyzing all opioid prescriptions for patients with chronic pain during their first year after opioid initiation. Cases were patients who experienced an overall dose escalation of ≥ 30 mg morphine equivalents over the 1-year period; controls did not experience overall dose escalation. Main measures were encounter type, opioid dose change, documented prescribing rationale, documentation of guideline-concordant opioid-prescribing practices. Two coders reviewed all encounters associated with opioid prescriptions. Analysis of factors associated with dose increases and provider documentation of prescribing rationale was conducted using multiple logistic regression. Results: There were 674 encounters coded for 66 patients (22 cases, 44 controls). Fifty-three percent of opioid prescriptions were associated with telephone encounters; 13% were associated with e-mail encounters. No prescribing rationale was documented for 43% of all opioid prescriptions and 25% of dose increases. Likelihood of dose increase and documentation of prescribing rationale did not significantly differ for cases versus controls. Compared with face-to-face encounters, dose increases were significantly less likely for telephone (OR 0.18, 95% CI 0.11-0.28) and e-mail (OR 0.23, 95% CI 0.12-0.47) encounters; documentation of prescribing rationale was significantly more likely for e-mail (OR 5.06, 95% CI 1.87-13.72) and less likely for telephone (OR 0.30, 95% CI 0.18-0.51) encounters. Conclusion: Most opioid prescriptions were written without face-to-face encounters. One quarter of dose increases contained no documented prescribing rationale. Documented encounter-level factors were not significantly associated with overall opioid dose escalation.

Indexed as

AdolescentAdultAgedAged, 80 and overAnalgesics, OpioidCaliforniaChronic PainClinical Decision-MakingDrug Administration ScheduleDrug PrescriptionsDrug UtilizationDrug Utilization ReviewElectronic Health RecordsFemaleHumansLongitudinal StudiesAnalgesics, OpioidChronic PainCommunicationMedical Decision MakingOpioidsPhysician Practice Patterns

Identifiers

PMID27477581
PMCPMC5285485

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Registered trials

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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.