Evidence map›Paper›PMID 28025921›Full record

ArticleJournal of managed care & specialty pharmacy2017

Improving Clinical Decision Support in Pharmacy: Toward the Perfect DUR Alert.

Jenna L Reynolds, Michael T Rupp

Abstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. A primer on clinical programs in managed care pharmacy.Journal of managed care & specialty pharmacy · 2026
    Review
  3. Observational
  4. Article
  5. Review
  6. Brief intervention medication therapy management: Establishment of an opioid misuse intervention model delivered in a community pharmacy.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2021
    Article
  7. Article
  8. 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

2 authors.

Jenna L Reynolds1 Midwestern University, Glendale, Arizona.
Michael T Rupp1 Midwestern University, Glendale, Arizona.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cornerstone of every health care profession is decision making. Historically, the decisions made by pharmacists have focused on ensuring the accuracy and physical integrity of the pharmaceutical product delivered to the patient in strict compliance with the prescriber's order. As the role of the pharmacist evolved over the past half century, the focus of decision making progressively shifted from a product-centric orientation to optimizing the interaction that occurs between the pharmaceutical product and the patient. Toward that end, prospective drug utilization review (pro-DUR) represents, perhaps, the quintessential expression of the pharmacist's contemporary clinical role. Fueled by evolving practice standards, innovations in information technology, and legal mandates such as The Omnibus Budget Reconciliation Act of 1990, computer-assisted pro-DUR systems have become a ubiquitous component of pharmacy practice. While these data-driven clinical decision support systems have clearly demonstrated their ability to improve the quality and safety of medication delivery and use, they have yet to fully achieve their promised potential. Doing so will require recognition of continuing shortcomings and a shared commitment by all stakeholders to develop and adhere to best practice guidelines that will better ensure that alerts received by practitioners are valid, interpretable, clinically significant, and actionable. DISCLOSURES: The authors received no funding for this article. Rupp discloses consultancy fees from Surescripts unrelated to this manuscript. Both authors contributed equally to concept, analysis, and manuscript preparation.

Indexed as

Decision MakingDecision Support Systems, ClinicalDrug Utilization ReviewHealth PersonnelHumansPharmaceutical ServicesPharmacy

Identifiers

PMID28025921
PMCPMC10397604

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.