Application Progress of Shared Decision Making Model in Patients with Thoracic Cancer.

As a new diagnosis and treatment decision-making model, shared decision making (SDM) can effectively solve the problem of patient compliance in the diagnosis and treatment of thoracic tumors, balance the status of both doctors and patients, and gradually get attention and application in the clinical...

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Publicado en:Chinese Journal of Lung Cancer Vol. 27; no. 2; pp. 133 - 138
Autores principales: Weihao CHEN, Mengni ZHANG, Cheng SHEN
Formato: Journal Article
Publicado: Chinese Journal of Lung Cancer Feb2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2024
      vid: 27
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      pub: Chinese Journal of Lung Cancer
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        10.3779/j.issn.1009-3419.2024.101.04
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        atl: Application Progress of Shared Decision Making Model in Patients with Thoracic Cancer.
      aug:
        au:
          Weihao CHEN
          Mengni ZHANG
          Cheng SHEN
        affil: West China School of Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
      sug:
        subj:
          Practice Patterns
          Decision Making, Shared
          Thoracic Neoplasms Diagnosis
          Thoracic Neoplasms Surgery
          Health Facility Departments
      ab: As a new diagnosis and treatment decision-making model, shared decision making (SDM) can effectively solve the problem of patient compliance in the diagnosis and treatment of thoracic tumors, balance the status of both doctors and patients, and gradually get attention and application in the clinical practice of thoracic surgery. The application of SDM in the diagnosis and treatment of thoracic tumors is conducive to improve doctors' diagnosis and treatment level and alleviating the pressure of responsibility, reduce patients' psychological pressure and improve patients' compliance and also improve medical trust and reduce doctor-patient conflict. Due to the limited medical literacy and autonomy of patients, the time for diagnosis and treatment is short due to the imbalance of doctor-patient ratio. Meanwhile, due to the limited sample size of existing studies, SDM model cannot be proved to have a clear gain for the treatment of thoracic tumors, and the implementation of SDM model still faces resistance. In the future, the development of auxiliary decision-making system and the improvement of doctors' humanistic care ability will be conducive to promote the practical application of SDM model in thoracic surgery.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: Chinese
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