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AWARD PAPER: DR. ANIL MALHOTRA AWARD PAPER
Year : 2019  |  Volume : 35  |  Issue : 1  |  Page : 40-46

Psychometric properties of the Hindi-translated version of the “Assessment of Recovery Capital” scale at a tertiary level de-addiction center in North India


1 Department of Psychiatry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
2 Department of Psychiatry, Drug De-Addiction and Treatment Centre, PGIMER, Chandigarh, India
3 Department of Statistics, Centre for Systems Biology and Bioinformatics, Panjab University, Chandigarh, India

Correspondence Address:
Dr. Aniruddha Basu
Department of Psychiatry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijsp.ijsp_107_18

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Background/Objectives: The concept of “recovery capital” with regard to substance use draws upon the personal, social, cultural, and human resources in an individual to undergo recovery. However, lack of any structured instrument for its assessment in the local context necessitated the translation of the English self-assessment version of “Assessment of Recovery Capital” (ARC) scale to Hindi and the study of its psychometric properties. Methodology: In a cross-sectional study at a tertiary-level de-addiction center in Northwestern India, in the initial phase, forward translation to Hindi followed by expert panel back-translation, pretesting and cognitive interviewing were done. Thereafter, it was administered on 200 respondents of whom 100 were active alcohol-dependent or other illicit/pharmaceutical opioid-dependent users and another 100 dependent respondents were abstinent from such substances for the last 1 year. Results: Cognitive interviewing determined its face validity, whereas principal component analysis established a single-factor structure. It was shown to have good internal consistency (Cronbach's alpha = 0.86) and test-retest reliability (rho = 0.93, P < 0.001). Concurrent validity was established by comparing with the World Health Organization quality of life-BREF (P < 0.01), whereas predictive validity by significant area under the curve value of 82% and optimum cutoff of 41.5 (sensitivity: 81%, specificity: 71%) in the receiver operator characteristic curve. Divergent validity was established by lack of any significant positive correlation with the Addiction Severity Index (version 5.0). Conclusion: Hindi ARC has acceptable psychometric properties as a monitoring instrument for “recovery-oriented” de-addiction services. However, this needs to be studied in different settings with different substances longitudinally for its final validation.


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