Evidence map›Paper›PMID 34115125›Full record

ArticleJAMA network open2021

Trends in Use of Prescription Nonsteroidal Anti-inflammatory Medications Before vs After Implementation of a Florida Law Restricting Opioid Prescribing for Acute Pain.

Shailina Keshwani, Ivanna Grande, Michael Maguire, Amie Goodin, Scott M Vouri, Juan M Hincapie-Castillo

Open access · goldAbstract readComparative Study
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. 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 2 institutions in 1 country.

Shailina KeshwaniDepartment of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville.
Ivanna GrandeDepartment of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville.
Michael MaguireDepartment of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville.
Amie GoodinDepartment of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville.
Scott M VouriDepartment of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville.
Juan M Hincapie-CastilloDepartment of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville.
Center for Drug Evaluation and Research · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Previous research has shown an immediate reduction in new opioid users and use after implementation of the opioid supply restriction laws. Assessment of the association between opioid restrictions and alternative treatment options, such as nonsteroidal anti-inflammatory drugs (NSAIDs), is needed to evaluate potential unintended consequences for patients requiring analgesia. Objective: To evaluate the association between an opioid restriction law in Florida and use of prescription NSAIDs. Design, Setting, and Participants: This quality improvement study used interrupted time series analyses accounting for autocorrelation to estimate immediate and trend changes in the prescribing and use of prescription NSAIDs in Florida before and after implementation of a state law limiting opioid prescriptions to a 3-day supply. Participants were enrollees in a single private health plan of a large university and health system employer in Florida from January 2015 to June 2019. Exposures: Prescriptions for NSAIDs, ascertained from pharmacy claims data. Main Outcomes and Measures: The following outcomes were calculated monthly per 1000 plan enrollees: (1) number of NSAID users; (2) mean days' supply of NSAIDs per prescription; and (3) mean number of NSAID prescriptions. Individuals were classified as NSAID users if they had at least 1 NSAID prescription in a given month. Analysis was stratified by route of NSAID administration (oral or nonoral). Results: Among 46 783 NSAID users with 79 089 NSAID prescriptions during the study period, the median age was 47 years (interquartile range, 35-57 years). After implementation of the opioid restriction law, the number of NSAID users immediately increased, but the difference was not significant (change, 0.82 per 1000 patients; 95% CI, -0.67 to 2.30 per 1000 patients). No significant change in the days' supply of oral NSAID users occurred (change, 0.21 days per prescription; 95% CI, -1.66 to 2.08 days per prescription). Before implementation of the law, there was a nonsignificant decreasing trend in NSAID prescriptions (rate of change, -0.03 per month per 1000 enrollees; 95% CI, -0.13 to 0.07 per month per 1000 enrollees; after implementation, there was a nonsignificant increase in the number of oral and nonoral NSAID prescriptions (change, 1.49 per 1000 enrollees; 95% CI, -3.38 to 6.37 per 1000 enrollees). Conclusions and Relevance: In this quality improvement study, prescribing and use of prescription NSAIDs did not increase after implementation of a law restricting opioid analgesic prescriptions in Florida. These findings suggest possible greater use of over-the-counter NSAIDs after implementation of the law, but further research is needed to evaluate changes in the use of nonopioid analgesics and alternative pain therapies.

Indexed as

Legislation, DrugAcute PainAdultAnalgesics, OpioidAnti-Inflammatory Agents, Non-SteroidalDrug PrescriptionsFemaleFloridaForecastingHumansMaleMiddle AgedPractice Patterns, Physicians'Analgesics, OpioidAnti-Inflammatory Agents, Non-Steroidal

Identifiers

PMID34115125
PMCPMC8196340
OpenAlexW3172480190

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.