ArticleBMJ open2022
Protocol of an iterative qualitative study to develop a molecular testing decision aid for shared decision-making in patients with lung cancer after surgery.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05191485 (Shared Decision Making in Patients With Lung Cancer After Surgery：a Molecular Testing Decision Aid Evidence Based Development Study), which is not on this map. Cited by 6 papers.
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Shared Decision Making in Patients With Lung Cancer After Surgery：a Molecular Testing Decision Aid Evidence Based Development Study
Who cites it
6 citing papers in PubMed.
- Long-Term Patient-Reported Outcomes after Multiport Robot-Assisted Surgery versus Video-Assisted Surgery for Lung Cancer: An Observational Cohort Study.Annals of surgical oncology · 2026Observational
- Long-Term Function Recovery Following Upper Versus Lower Lobectomy for Lung Cancer: A Multicenter Longitudinal Cohort Study.Thoracic cancer · 2025Observational
- Comparison of early patient-reported outcomes between uniportal thoracoscopic segmentectomy and wedge resection for peripheral small-sized non-small-cell lung cancer.Journal of cardiothoracic surgery · 2024Article
- Multidisciplinary management and surgical resection of a rare posterior mediastinal haemangioma.Journal of surgical case reports · 2024Article
- Robotic-assisted right upper lobectomy with systemic pulmonary vein anomaly: a case report.Journal of cardiothoracic surgery · 2024Article
- Postoperative Patient-Reported Outcomes after Uniportal Video-Assisted Thoracoscopic Surgery Using the Perioperative Symptom Assessment for Lung Surgery Scale.Current oncology (Toronto, Ont.) · 2022Observational
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Authors and funding
19 authors.
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No grant is acknowledged in the PubMed record.
Abstract
introductionAlthough molecular testing is crucial for many patients with lung cancer, the decision to carry out molecular testing is not easy to make in actual clinical scenarios. Using a specific decision aid (DA) to conduct shared decision-making (SDM) may help ameliorate this problem. However, no DA currently exists for lung cancer molecular testing (DA_LCMT). We aim to develop an evidence-based, iteratively refined DA, which may facilitate SDM and improve the quality of SDM. METHODS AND ANALYSIS: After considering the Ottawa Decision Support Framework, International Patient Decision Aid Standards and Food and Drug Administration guidance about methods to identify what is important to patients, semistructured interviews with qualitative research methods will be used to generate the decision-making needs of patients with lung cancer diagnosed with lung adenocarcinoma by intraoperative frozen pathological sections. Input will be provided by patients and other stakeholders, including thoracic surgeons, nurses, hospital administrators, molecular testing company staff and insurance company staff. Then, a modified Delphi method will be used to develop the DA_LCMT V.1.0 (DA_LCMT 1.0). Structured interviews with qualitative research methods will be used in the cognitive debriefing (alpha tests) and field testing (beta tests) to revise and improve the DA_LCMT from version 1.0 to the final version, version 3.0. Descriptive statistics will be used to summarise the baseline characteristics of the patients and other stakeholders. Qualitative data will be analysed using the three steps of grounded theory: generate a codebook, update the codebook and create a comprehensive list of related items. ETHICS AND DISSEMINATION: Ethics Committee for Medical Research and New Medical Technology of Sichuan Cancer Hospital approved this study. This protocol is based on the latest version 1.0, dated 31 October 2021. The study was also approved by the Ethics Committees of The Third People's Hospital of Chengdu, Zigong First People's Hospital and Jiangyou People's Hospital. The results of this study will be presented at medical conferences and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT05191485.
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