Psychometric Properties of Amharic Version of Becks Depression Inventory II Among Adult Cancer Patients in TASH,2021
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Date
2021-05
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Addis Ababa University
Abstract
Background: -Major depression disorder (MDD) or depression is a severe mental illness that relieved to be 8% among cancer patients. Even though the ambiguity of the development of depressive disorders among those patients continues, in Ethiopia, depression prevalence among cancer patients is 79.1%. Among the types of instruments to measure depression prevalence, BDI-II is the main and specific one. Even if there is a lack of studies indicating its validity and reliability among general cancer patients, this gap could lead studies about the prevalence of depression among cancer patients more complex and biased. This study aims to examine the Psychometric properties of the BDI-II Amharic version among cancer patients.
Methodology: -The study implied a cross-sectional study design, and a total of 342 sample sizes were enrolled and data collected by interviewer-administered questionnaire. EFA was used to determine the factor structure used in the context of Ethiopia. Principal Axis Factoring with oblique rotation used to assess the BDI-II Amharic version's factor structure among cancer patients. Cronbach's alpha(α) was determined to decide the internal consistency of the tool and CFA was used to determine whether the model fit in the Ethiopia. And correlation coefficient was used to determine construct validity of the tool
Result: - This study evaluated the psychometric properties and factor structure of BDI-II among cancer patients. Principal Axis Factoring with oblique rotation indicated the presence of three factors among those populations. The cognitive, somatic and affective domain explains 46.3% of the variance. The study also demonstrated that the Amharic version BDI-II yields reliable and valid data among the population under study.
Conclusion: -This study concludes that Amharic version BDI-II can be used among cancer patients to measure depression and recommends researchers to use it.
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BDI-II, Psychometric Properties