Evidence map›Paper›PMID 33865194›Full record

ArticleEconomics and human biology2021

Can electronic prescribing mandates reduce opioid-related overdoses?

Rahi Abouk, David Powell

Abstract read
In one paragraph

Article in Economics and human biology, 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Review
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

2 authors.

Rahi AboukWilliam Paterson University, United States. Electronic address: aboukr@wpunj.edu.
David PowellRAND, United States. Electronic address: dpowell@rand.org.

Funding

Optimal Methods for Estimating Policy Effect Heterogeneity in Opioid Policy ResearchP50DA046351 · NIDA · RAND CORPORATION · PI BRADLEY D STEIN · 2018 to 2026
$20.8M
Can Mandatory Electronic Prescriptions Reduce Opioid Abuse?R21DA045983 · NIDA · RAND CORPORATION · PI ABOUK, RAHI, POWELL, DAVID · 2019 to 2020
$463k
NIDA NIH HHS P50 DA046351NIDA NIH HHS R21 DA045983
6 · The paper itself

Abstract

As the opioid crisis has escalated, states have enacted numerous policies targeting opioid access and monitoring possible misuse. Recently, the majority of states have passed electronic prescribing mandates for controlled substances. These mandates require that controlled substances be prescribed electronically directly to the pharmacy. The electronic system maintains a rich patient history that prescribers will observe when issuing a prescription while also reducing opportunities for fraud. The first enforced mandate was implemented in New York in March 2016; thus empirical evidence about the effects of such mandates is limited. We study how adoption of the New York e-prescribing mandate affected opioid supply and opioid-related overdoses. We estimate that the mandate reduced the rate of overdoses involving natural and semi-synthetic opioids by 22 %. We find little evidence of any corresponding changes in overdose rates involving illicit opioids.

Indexed as

Drug OverdoseElectronic PrescribingOpiate OverdoseAnalgesics, OpioidHumansPractice Patterns, Physicians'United StatesAnalgesics, OpioidEPCSE-prescribingOpioid crisisSupply-side interventions

Identifiers

PMID33865194
PMCPMC8222172

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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.