ORIGINAL ARTICLE |
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Year : 2021 | Volume
: 18
| Issue : 2 | Page : 95-99 |
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Level of depression among cancer patient: A cross-sectional study
Ritu Dahiya, Aashish Parihar, Mukesh Kumar Swami, Sanjay Sevak
Department of Psychiatric, AIIMS, Jodhpur, Rajasthan, India
Correspondence Address:
Ms. Ritu Dahiya College of Nursing, AIIMS, Jodhpur, Rajasthan India
 Source of Support: None, Conflict of Interest: None
DOI: 10.4103/iopn.iopn_25_21
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Introduction: Cancer is a major public health problem throughout the world. Globally, cancer is the second leading cause of death, new cases were 18.1 million, and cancer was responsible for an estimated 9.6 million deaths in the year 2018. Cancer increases the risk of psychiatric diseases, and one-third of patients with cancer has mental health disorders and is in need of appropriate psychological treatment. Anxiety and depression are widely common psychological distresses among most patients with cancer. The aim of this study was to assess the level of depression among cancer patients. Methodology: The present study was a nonexperimental cross-sectional research design with quantitative approach was conducted on a sample of 400 cancer patients at AIIMS, Jodhpur. The participants were selected by consecutive sampling, and data were collected through face-to-face interview among patients with cancer. A self-reported questionnaire on demographic, clinical profile, and level of depression was assessed by standardized scale PHQ-9. Results: The present study revealed the level of depression among cancer patients, out of them 8.8% were having minimal depression, followed by 20.3% mild depression, 39.8% moderate depression, 17.8% moderately severe depression, and 13.5 were having severe depression. Conclusion: The findings of the study suggested that cancer diagnosis generates a higher sense of distress and leads to cause depression whether minimal or severe. Results of the study show that there is no association between level of depression and selected demographic variables of the study as per Chi-square analysis.
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