Evidence map›Paper›PMID 30815193›Full record

SynthesisAMIA ... Annual Symposium proceedings. AMIA Symposium2018

Systematic Literature Review of Prescription Drug Monitoring Programs.

Aditya Ponnapalli, Adela Grando, Anita Murcko, Pete Wertheim

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

  1. Trial
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  9. Article
  10. Review
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  12. Pilot evaluation of sensitive data segmentation technology for privacy.International journal of medical informatics · 2020
    Article
  13. Review
  14. Review
  15. Article
  16. 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

4 authors at 1 institution in 1 country.

Aditya Ponnapalli1Arizona State University, Tempe, Arizona.
Adela Grando1Arizona State University, Tempe, Arizona.
Anita Murcko1Arizona State University, Tempe, Arizona.
Pete WertheimArizona Osteopathic Medical Association, Phoenix, Arizona.
Arizona State University · US

Funding

My Data Choices, evaluation of effective consent strategies for patients with behavioral health conditionsR01MH108992 · NIMH · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI GRANDO, MARIA ADELA · 2016 to 2020
$2.0M
NIMH NIH HHS R01 MH108992
6 · The paper itself

Abstract

Prescription opioid abuse has become a serious national problem. To respond to the opioid epidemic, states have implemented prescription drug monitoring programs (PDMPs) to monitor and reduce opioid abuse. We conducted a systematic literature review to better understand the PDMP impact on reducing opioid abuse, improving prescriber practices, and how EHR integration has impacted PDMP usability. Lessons learned can help guide federal and state-based efforts to better respond to the opioid crisis.

Indexed as

Prescription Drug Monitoring ProgramsAnalgesics, OpioidDrug PrescriptionsHumansLegislation, DrugOpioid-Related DisordersPrescription Drug MisuseUnited StatesAnalgesics, Opioid

Identifiers

PMID30815193
PMCPMC6371270
OpenAlexW2941409321

What OpenQuestion holds

Textmetadata
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.