ArticlePEC innovation2022
Show me the roads and give me a road map: Development of a patient conversation tool to improve lung cancer treatment decision-making.
Article in PEC innovation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04574518 (Teachable Moment to Opt-out of Tobacco), which is not on this map. Cited by 6 papers.
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.
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.
Teachable Moment to Opt-out of Tobacco (TeaM OUT): A Stepped Wedge Cluster Randomized Intervention
Who cites it
6 citing papers in PubMed.
- Predictors of Treatment Preparedness Among Lung Cancer Patients: The Role of Patient-Provider Communication.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026Article
- Patients' Experiences of Care During Hospitalization for Acute Respiratory Failure During COVID-19: A Multi-Center Qualitative Study.Journal of patient experience · 2026Article
- Improving Decision-Making Encounters in Lung Cancer Treatment: Feasibility and Acceptability of a Low-Literacy Conversation Tool (iDECIDE).CHEST pulmonary · 2025Article
- Improving lung cancer decision-making using a conversation tool (iDECIDE): a stepped wedge pragmatic clinical trial.Future oncology (London, England) · 2025Article
- Decision Regret among Patients with Early-stage Lung Cancer Undergoing Radiation Therapy or Surgical Resection.Clinical oncology (Royal College of Radiologists (Great Britain)) · 2023Article
- Early, integrated palliative care for people with chronic respiratory disease: lessons learnt from lung cancer.Therapeutic advances in respiratory diseaseReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Evidence-based decision support resources do not exist for persons with lung cancer. We sought to develop and refine a treatment decision support, or conversation tool, to improve shared decision-making (SDM). Methods: We conducted a multi-site study among patients with stage I-IV non-small cell lung cancer (NSCLC) who completed or had ongoing lung cancer treatment using semi-structured, cognitive qualitative interviews to assess participant understanding of content. We used an integrated approach of deductive and inductive thematic analysis. Results: Twenty-seven patients with NSCLC participated. Participants with prior cancer experiences or those with family members with prior cancer experiences reported better preparedness for cancer treatment decision-making. All participants agreed the conversation tool would be helpful to clarify their thinking about values, comparisons, and goals of treatment, and to help patients communicate more effectively with their clinicians. Conclusion: Participants reported that the tool may empower them with confidence and agency to actively participate in cancer treatment SDM. The conversation tool was acceptable, comprehensible, and usable. Next steps will test effectiveness on patient-centered and decisional outcomes. Innovation: A personalized conversation tool using consequence tables and core SDM components is novel in that it can encourage a tailored, conversational dynamic and includes patient-centered values along with traditional decisional outcomes.
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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.