Urdu translation and validation of GAD-7: A screening and rating tool for anxiety symptoms in primary health care.

نویسندگان

  • Sabih Ahmad
  • Sadiq Hussain
  • Farrukh Saleem Shah
  • Farrukh Akhtar
چکیده

OBJECTIVE To translate and validate Generalized Anxiety Disorder -7scale in Urdu, for use in Pakistan in the primary healthcare setups. METHODS The validation study was conducted at the Combined Military Hospital, Gilgit, Pakistan, from February to May 2016.We followed a systematic six-step process to validate the Generalized Anxiety Disorder-7 scale in the target population. The instrument was translated independently and then fused together. Back-translation was followed by recommendations by an expert committee, and face validity improvement by a language expert. A pilot study was done to get user's feedback on the construct. Volunteers were administered the questionnaire for validation procedure, along with a well-being scale, at three different cities representing volunteers from four different administrative regions of Pakistan. RESULTS There were 285 volunteers in the study. Principal component exploratory factor analysis supported unidimensional structure of the scale with an eigenvalue of 5.18 and it explained 64.8% of the total variance. Total score on the scale was negatively correlated with positive effect (r = -0.44, p<0.001) and life satisfaction (r = -0.49, p<0.001) subscales of a the well-being scale, while it was positively correlated with the negative affect (r = 0.63, p<0.001) subscale of the same, indicating a good level of convergent and discriminate validity. Cronbach's alpha for the scale was 0.92 and split-half reliability was 0.82, revealing a good level of reliability. CONCLUSIONS The Generalized Anxiety Disorder -7 scale was found to be a validated, brief, self-administered Urdu tool to screen, rate, and monitor outcome of anxiety disorders in primary healthcare setups.

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عنوان ژورنال:
  • JPMA. The Journal of the Pakistan Medical Association

دوره 67 10  شماره 

صفحات  -

تاریخ انتشار 2017