Evidence map›Paper›PMID 33011988›Full record

ArticleHealth services research2021

Changes in early high-risk opioid prescribing practices after policy interventions in Washington State.

Jeanne M Sears, John R Haight, Deborah Fulton-Kehoe, Thomas M Wickizer, Jaymie Mai, Gary M Franklin

Open access · hybridAbstract read
In one paragraph

Article in Health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

6 authors at 3 institutions in 2 countries.

Jeanne M SearsDepartment of Health Services, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-7325-1279
John R HaightDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
Deborah Fulton-KehoeDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
Thomas M WickizerDivision of Health Services Management and Policy, The Ohio State University College of Public Health, Columbus, Ohio, USA.
Jaymie MaiWashington State Department of Labor and Industries, Tumwater, Washington, USA.
Gary M FranklinDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
University of Washington · USUnited States Department of State · USOhio Department of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo test associations between several opioid prescribing policy interventions and changes in early (acute/subacute) high-risk opioid prescribing practices. DATA SOURCES: Population-based workers' compensation pharmacy billing and claims data, Washington State Department of Labor and Industries (January 2008-June 2015). STUDY

designWe used interrupted time series analysis to test associations between three policy intervention timepoints and monthly proportions of population-based measures of high-risk, low-risk, and any workers' compensation-related opioid prescribing. We also tested associations between the policy intervention timepoints and five high-risk opioid prescribing indicators among workers prescribed any opioids within 3 months after injury: (a) >7 cumulative (not necessarily consecutive) days' supply of opioids during the acute phase, (b) high-dose opioids, (c) concurrent sedatives, (d) chronic opioids, and (e) a composite high-risk opioid prescribing indicator. PRINCIPAL

findingsWithin 3 months after injury, 9 percent of workers were exposed to high-risk and 12 percent to low-risk workers' compensation-related opioid prescribing; 79 percent filled no workers' compensation-related opioid prescription. Among workers prescribed any early (acute/subacute) opioids, the indicator for >7 days' supply of opioids during the acute phase was present for 30 percent, high-dose opioids for 18 percent, concurrent sedatives for 3 percent, and chronic opioids for 2 percent. Beyond a general shift toward more infrequent and lower-risk workers' compensation-related opioid prescribing, each policy intervention timepoint was significantly associated with reductions in specific acute/subacute high-risk opioid prescribing indicators; each of the four specific high-risk opioid prescribing indicators had significant reductions associated with at least one policy.

conclusionsSeveral state-level opioid prescribing policies were significantly associated with safer workers' compensation-related opioid prescribing practices during the first 3 months after injury (acute/subacute phase), which should in turn reduce transition to chronic opioids and associated negative health outcomes.

Indexed as

Analgesics, OpioidChronic PainDrug PrescriptionsHumansInterrupted Time Series AnalysisOccupational DiseasesPractice Patterns, Physicians'Treatment OutcomeWashingtonWorkers' CompensationAnalgesics, Opioidanalgesicsdrug prescriptionsinappropriate prescribinginterrupted time series analysisopioidpolicyworkers’ compensation

Identifiers

PMID33011988
PMCPMC7839645
OpenAlexW3090337331

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.