Evidence map›Paper›PMID 38281107›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Visual Analytics for Data-Driven Understanding of the Substance Use Disorder Epidemic.

Danial Qaurooni, Bruce W Herr, Sarah Renee Zappone, Klaudia Wojciechowska, Katy Börner, Titus Schleyer

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Danial QaurooniIndiana University Bloomington, Bloomington, IN, USA.ORCID 0000-0001-6190-073X
Bruce W HerrIndiana University Bloomington, Bloomington, IN, USA.ORCID 0000-0002-6703-7647
Sarah Renee ZapponeIndiana University Bloomington, Bloomington, IN, USA.
Klaudia WojciechowskaIndiana University School of Medicine, Indianapolis, IN, USA.
Katy BörnerIndiana University Bloomington, Bloomington, IN, USA.
Titus SchleyerIndiana University Bloomington, Bloomington, IN, USA.

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Combating the opiod epidemic with big data analytics and a live, nationwide dashboardR43DA045455 · NIDA · HC1.COM INC. · PI JANOWIAK, DIANE, SCHLEYER, TITUS K. · 2018 to 2018
$150k
NCATS NIH HHS UL1 TR002529NIDA NIH HHS R43 DA045455
6 · The paper itself

Abstract

The substance use disorder epidemic has emerged as a serious public health crisis, presenting complex challenges. Visual analytics offers a unique approach to address this complexity and facilitate effective interventions. This paper details the development of an innovative visual analytics dashboard, aimed at enhancing our understanding of the substance use disorder epidemic. By employing record linkage techniques, we integrate diverse data sources to provide a comprehensive view of the epidemic. Adherence to responsive, open, and user-centered design principles ensures the dashboard's usefulness and usability. Our approach to data and design encourages collaboration among various stakeholders, including researchers, politicians, and healthcare practitioners. Through illustrative outputs, we demonstrate how the dashboard can deepen our understanding of the epidemic, support intervention strategies, and evaluate the effectiveness of implemented measures. The paper concludes with a discussion of the dashboard's use cases and limitations.

Indexed as

EpidemicsSubstance-Related DisordersDelivery of Health CareHumansPublic Healthdashboarddrug overdoseepidemicmortalitypublic healthrisk factorssubstance use detectionsubstance use disordervisual analytics

Identifiers

PMID38281107
PMCPMC10823843

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.