Evidence map›Paper›PMID 38992907›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2024

Patient Perspectives on a Patient-Facing Tool for Lung Cancer Screening.

Victoria L Tiase, Grace Richards, Teresa Taft, Leticia Stevens, Christian Balbin, Kimberly A Kaphingst, Angela Fagerlin, Tanner Caverly, Polina Kukhareva, Michael Flynn and 2 more

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

12 authors.

Victoria L TiaseDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0001-5653-2282
Grace RichardsDepartment of Biomedical Engineering, University of Utah, Salt Lake City, Utah, USA.
Teresa TaftDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-9158-7323
Leticia StevensDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Christian BalbinDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Kimberly A KaphingstDepartment of Communication and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0003-2668-9080
Angela FagerlinDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-9192-2777
Tanner CaverlyDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Polina KukharevaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-5576-1486
Michael FlynnDepartments of Internal Medicine and Pediatrics, Community Physicians Group, University of Utah Health, Salt Lake City, Utah, USA.
Jorie M ButlerDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0003-4519-7997
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0003-4282-9338

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Engaging patients to enable interoperable lung cancer decision support at scaleR18HS028791 · AHRQ · UNIVERSITY OF UTAH · PI KAWAMOTO, KENSAKU · 2022 to 2024
$3.0M
Scalable decision support and shared decision making for lung cancer screeningR18HS026198 · AHRQ · UNIVERSITY OF UTAH · PI KAWAMOTO, KENSAKU · 2019 to 2021
$1.2M
AHRQ HHS R18 HS026198AHRQ HHS R18 HS028791NCATS NIH HHS UM1 TR004409This study was supported by Agency for Healthcare Research and Quality 5R18HS026198-03This study was supported by Agency for Healthcare Research and Quality 5R18HS028791-02
6 · The paper itself

Abstract

backgroundIndividuals with high risk for lung cancer may benefit from lung cancer screening, but there are associated risks as well as benefits. Shared decision-making (SDM) tools with personalized information may provide key support for patients. Understanding patient perspectives on educational tools to facilitate SDM for lung cancer screening may support tool development.

aimThis study aimed to explore patient perspectives related to a SDM tool for lung cancer screening using a qualitative approach.

methodsWe elicited patient perspectives by showing a provider-facing SDM tool. Focus group interviews that ranged in duration from 1.5 to 2 h were conducted with 23 individuals with high risk for lung cancer. Data were interpreted inductively using thematic analysis to identify patients' thoughts on and desires for a patient-facing SDM tool.

resultsThe findings highlight that patients would like to have educational information related to lung cancer screening. We identified several key themes to be considered in the future development of patient-facing tools: barriers to acceptance, preference against screening and seeking empowerment. One further theme illustrated effects of patient-provider relationship as a limitation to meeting lung cancer screening information needs. Participants also noted several suggestions for the design of technology decision aids.

conclusionThese findings suggest that patients desire additional information on lung cancer screening in advance of clinical visits. However, there are several issues that must be considered in the design and development of technology to meet the information needs of patients for lung cancer screening decisions. PATIENT OR PUBLIC CONTRIBUTION: Patients, service users, caregivers or members of the public were not involved in the study design, conduct, analysis or interpretation of the data. However, clinical experts in health communication provided detailed feedback on the study protocol, including the focus group approach. The study findings contribute to a better understanding of patient expectations for lung cancer screening decisions and may inform future development of tools for SDM.

Indexed as

Decision Making, SharedEarly Detection of CancerFocus GroupsLung NeoplasmsPatient ParticipationQualitative ResearchAgedFemaleHumansMaleMiddle Agedcancer screening testsdecision aidinformaticslung cancerpatient preferencesshared decision‐making

Identifiers

PMID38992907
PMCPMC11239535

What OpenQuestion holds

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LicenceCC BY
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.