Evidence map›Paper›PMID 25599455›Full record

ArticlePain2015

Variability in opioid prescription monitoring and evidence of aberrant medication taking behaviors in urban safety-net clinics.

Allison Lange, Karen E Lasser, Ziming Xuan, Laila Khalid, Donna Beers, Orlaith D Heymann, Christopher W Shanahan, Julie Crosson, Jane M Liebschutz

Open access · greenAbstract read
In one paragraph

Article in Pain, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Allison LangeDepartment of General Internal Medicine, Boston Medical Center, Boston, MA, USA Department of Community Health Sciences, Boston University School of Public Health, Boston, MA, USA Department of Adult Medicine, Dorchester House Community Health Center, Boston, MA, USA Department of Adult Medicine, Mattapan Community Health Center, Boston, MA, USA.
Karen E Lasser
Ziming Xuan
Laila Khalid
Donna Beers
Orlaith D Heymann
Christopher W Shanahan
Julie Crosson
Jane M Liebschutz
Boston Medical Center · USBoston University · USCommunity Health Center · US

Funding

Implementing Opioid Risk Reduction Strategies into Primary Care PracticeR01DA034252 · NIDA · BOSTON MEDICAL CENTER · PI LASSER, KAREN ELIZABETH, LIEBSCHUTZ, JANE M · 2012 to 2016
$2.7M
NIDA NIH HHS R01 DA034252NIDA NIH HHS R01DA034252
6 · The paper itself

Abstract

Little is known about variability in primary care providers' (PCPs) adherence to opioid-monitoring guidelines for patients. We examined variability of adherence to monitoring guidelines among PCPs and ascertained the relationship between PCP adherence and opioid misuse by their patients. We included primary care patients receiving long-term opioids (≥3 prescriptions within 6 months) for chronic noncancer pain and PCPs with ≥4 eligible patients. We examined guideline adherence using: (1) electronic health record documentation of opioid treatment agreement, (2) past-year urine drug screen (UDS), and (3) evidence of misuse through early refills (≥2 opioid prescriptions written 7-25 days after the previous prescription). Covariates included morphine equivalent daily opioid medication dose (MED, >50 mg/d vs ≤50mg/d). Multilevel regression models assessed variability among PCPs, and odds ratios examined associations among patient-level binary outcomes. Sixty-seven PCPs prescribed opioids to 1546 patients. Significant variability was found between PCPs in use of agreement (variance = 1.27, P < 0.001), UDS (variance = 1.75, P < 0.001), and early refills (variance = 0.29, P = 0.002). Primary care providers had a mean of 48% of patients with agreement (range, 9%-84%), 56% with ≥1 UDS (range, 7%-91%) and 36% with early refills (range, 19%-60%). High MED among patients was associated with increased odds of agreement (1.93, confidence interval [CI], 1.53-2.44), UDS (2.65, CI: 2.06-3.41), and early refill (2.92, CI: 2.30-3.70). Primary care providers varied significantly in adherence to opioid prescription guidelines. Increased patient risk was associated with increased monitoring and with greater misuse. Future work should study system-level interventions to enable clinical monitoring and support opioid guideline adherence.

Indexed as

Urban PopulationAnalgesics, OpioidChronic PainCohort StudiesFemaleGuideline AdherenceHumansMaleMiddle AgedPrescriptionsPrimary Health CareRetrospective StudiesSafety-net ProvidersAnalgesics, Opioid

Identifiers

PMID25599455
PMCPMC4854522
OpenAlexW2077109204

What OpenQuestion holds

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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.