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How do cancer patients refuse treatment? A grounded theory study.
BMC Palliative Care 2023 Februrary 8
BACKGROUND: All cancer patients, except for a small fraction, seek treatment after becoming aware of the disease. That small fraction do not seek any treatment due to various reasons, and this phenomenon is unknown to us. Therefore, the present study aimed to discover the reasons for treatment refusal in cancer patients.
METHODS: This qualitative grounded theory study was conducted on 22 participants including patients, caregivers, physicians, and nurses. Purposive theoretical sampling was employed. Data were collected through in-depth interviews. All interviews were gradually transcribed and analyzed. Data analysis was carried out through the three-step method of open, axial, and selective coding and was continued until theoretical saturation. Straussian Grounded Theory was used for data analysis.
RESULTS: A total of 4 themes and 20 sub-themes were extracted in this study. The core variable extracted from the interviews was "resilience" Other related themes included encounter with cancer, fighting cancer, and coping with cancer. The findings showed that in the context of fighting cancer, patients lost their resilience through various processes and refused treatment.
CONCLUSION: Cancer patients abandon the treatment in silence, oncologists and even family members being unaware of the matter. In other words, refusal of treatment is like an iceberg and the majority of the patients who have abandoned treatment are unknown to the health system. The model obtained in this study can increase the knowledge of the process that leads patients to lose their resilience against cancer and abandon treatment, which can increase the possibility of recognizing and predicting treatment refusal for oncologists.
METHODS: This qualitative grounded theory study was conducted on 22 participants including patients, caregivers, physicians, and nurses. Purposive theoretical sampling was employed. Data were collected through in-depth interviews. All interviews were gradually transcribed and analyzed. Data analysis was carried out through the three-step method of open, axial, and selective coding and was continued until theoretical saturation. Straussian Grounded Theory was used for data analysis.
RESULTS: A total of 4 themes and 20 sub-themes were extracted in this study. The core variable extracted from the interviews was "resilience" Other related themes included encounter with cancer, fighting cancer, and coping with cancer. The findings showed that in the context of fighting cancer, patients lost their resilience through various processes and refused treatment.
CONCLUSION: Cancer patients abandon the treatment in silence, oncologists and even family members being unaware of the matter. In other words, refusal of treatment is like an iceberg and the majority of the patients who have abandoned treatment are unknown to the health system. The model obtained in this study can increase the knowledge of the process that leads patients to lose their resilience against cancer and abandon treatment, which can increase the possibility of recognizing and predicting treatment refusal for oncologists.
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