Evidence map›Paper›PMID 36798090›Full record

ArticleMDM policy & practice

Translating an Economic Analysis into a Tool for Public Health Resource Allocation in Cancer Survivorship.

Zachary Rivers, Joshua A Roth, Winona Wright, Sun Hee Rim, Lisa C Richardson, Cheryll C Thomas, Julie S Townsend, Scott D Ramsey

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MDM policy & practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 1 country.

Zachary RiversDivision of Public Health Sciences and Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-4957-4908
Joshua A RothDirector, Value and Evidence, Hematology and Biosimilars, Pfizer, New York, NY, USA.ORCID https://orcid.org/0000-0001-6621-8342
Winona WrightDivision of Public Health Sciences and Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-6811-750X
Sun Hee RimDivision of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Lisa C RichardsonDivision of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Cheryll C ThomasDivision of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Julie S TownsendDivision of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Scott D RamseyDivision of Public Health Sciences and Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Centers for Disease Control and Prevention · USFred Hutch Cancer Center · USPfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highlights: Model complexity and unclear purpose are 2 barriers that prevent lay users from integrating decision science tools into their workflow.Modelers could integrate the user-centered design framework when developing a model for lay users to reduce complexity and ensure the model meets the needs of the users.

Indexed as

cancer survivorshipcost-effectivenessdecision modelquality of liferesource allocationUser Centered Designwillingness to pay

Identifiers

PMID36798090
PMCPMC9926380
OpenAlexW4320017499

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.