Evidence map›Paper›PMID 25532218›Full record

ArticleJMIR research protocols2014

Development and validation of a personalized, web-based decision aid for lung cancer screening using mixed methods: a study protocol.

Yan Kwan Lau, Tanner J Caverly, Sarah T Cherng, Pianpian Cao, Mindy West, Douglas Arenberg, Rafael Meza

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 3% 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.

NCT05824273 nacompletednot on this mapstarted 2023, after this paper: background citation

Leveraging Social Media to Increase Lung Cancer Screening Awareness, Knowledge and Uptake in High-Risk Populations

TypeinterventionalSponsorHackensack Meridian HealthRan2023 to 2024Enrolled512ConditionsLung CancerArmsLungTalk, Non-tailored intervention - Standard of practice
NCT06605534 narecruitingnot on this mapstarted 2024, after this paper: background citation

LEAD Pilot Study: Leveraging the Emergency Department to Address SDOH and Reduce Lung Cancer Screening Disparities

TypeinterventionalSponsorHackensack Meridian HealthRan2024 to 2026Enrolled100ConditionsLung CancerArmsLungTalk, Non-tailored lung screening
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Guideline
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  3. Aiding shared decision making in lung cancer screening: two decision tools.Journal of public health (Oxford, England) · 2021
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  17. Systematic Development of Patient Decision Aids: An Update from the IPDAS Collaboration.Medical decision making : an international journal of the Society for Medical Decision Making · 2021
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  18. Article
  19. Effects of Personalized Risk Information on Patients Referred for Lung Cancer Screening with Low-Dose CT.Medical decision making : an international journal of the Society for Medical Decision Making · 2019
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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

7 authors at 1 institution in 1 country.

Yan Kwan LauDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0002-1612-9912
University of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe National Lung Screening Trial demonstrated that low-dose computed tomography (LDCT) screening could be an effective way to reduce lung cancer mortality. Informed decision-making in the context of lung cancer screening requires that potential screening subjects accurately recognize their own lung cancer risk, as well as the harms and benefits associated with screening, while taking into account their personal values and preferences.

objectiveOur objective is to develop a Web-based decision aid in accordance with the qualifying and certification criteria in the International Patient Decision Aid Standards instrument version 4.0 that will assist patients in making informed decisions with regard to lung cancer screening.

methodsIn "alpha" testing, a prototype of the decision aid was tested for usability with 10 potential screening participants in focus groups. Feedback was also sought from public health and health risk communication experts external to the study. Following that, improvements to the prototype were made accordingly, and "beta" testing was done in the form of a quasi-experimental design-a before-after study-with a group of 60 participants. Outcomes tested were knowledge, risk perception of lung cancer and lung cancer screening, decisional conflict, and acceptability of the decision aid as determined by means of a self-administered electronic survey. Focus groups of a subsample of survey participants will be conducted to gain further insight into usability issues.

resultsAlpha testing is completed. Beta testing is currently being carried out. As of 2014 December 7, 60 participants had completed the before-after study. We expect to have results by 2015 January 31. Qualitative data collection and analysis are expected to be completed by 2015 May 31.

conclusionsWe hypothesize that this Web-based, interactive decision aid containing personalized, graphical, and contextual information on the benefits and harms of LDCT screening will increase knowledge, reduce decisional conflict, and improve concordance between patient preferences and the current US Preventive Services Task Force's screening guidelines.

Indexed as

informed decision-makinglung cancer screeningpatient decision aidpatient education

Identifiers

PMID25532218
PMCPMC4376198
OpenAlexW2042300114

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.