Your browser doesn't support javascript.
loading
Protocol of an iterative qualitative study to develop a molecular testing decision aid for shared decision-making in patients with lung cancer after surgery.
Wei, Xing; Liu, Yangjun; Yu, Hongfan; Dai, Wei; Yang, Ding; Zhang, Kunpeng; Sun, Jing; Xu, Wei; Gong, Ruoyan; Yu, Qingsong; Pu, Yang; Wang, Yaqin; Liao, Jia; Mu, Yunfei; Zhang, Yuanqiang; Feng, Wenhong; Pan, Qi; Li, Qiang; Shi, Qiuling.
Afiliação
  • Wei X; Department of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
  • Liu Y; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Yu H; State Key Laboratory of Biomedical Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
  • Dai W; Department of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
  • Yang D; Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Zhang K; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
  • Sun J; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), VIP-II Gastrointestinal Cancer Division of the Department of Medicine, Peking University Cancer Hospital, Beijing, China.
  • Xu W; School of Public Health, Chongqing Medical University, Chongqing, China.
  • Gong R; School of Public Health, Chongqing Medical University, Chongqing, China.
  • Yu Q; School of Public Health, Chongqing Medical University, Chongqing, China.
  • Pu Y; School of Public Health, Chongqing Medical University, Chongqing, China.
  • Wang Y; Department of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
  • Liao J; Department of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
  • Mu Y; Department of Thoracic Surgery, Chengdu Third People's Hospital, Chengdu, China.
  • Zhang Y; Department of Cardiothoracic Surgery, Zigong First People's Hospital, Zigong, China.
  • Feng W; Department of Thoracic and Cardiovascular Surgery, Jiangyou People's Hospital, Jiangyou, China.
  • Pan Q; Department of Clinical Psychology, Shunde Hospital, Southern Medical University/The First People's Hospital of Shunde, Foshan, China.
  • Li Q; Department of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China qshi@cqmu.edu.cn liqiang@sichuancancer.org.
  • Shi Q; Center for Cancer Prevention Research, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China qshi@cqmu.edu.cn liqiang@sichuancancer.org.
BMJ Open ; 12(9): e061367, 2022 09 19.
Article em En | MEDLINE | ID: mdl-36123064
INTRODUCTION: Although 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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomada de Decisões / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Qualitative_research Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomada de Decisões / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Qualitative_research Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article