REPORTING OF INFORMED CONSENT IN A LEADING IRANIAN PUBLIC HEALTH JOURNAL
محل انتشار: کنگره بین المللی اخلاق زیستی
سال انتشار: 1384
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,820
فایل این مقاله در 5 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
BIOETHICS01_081
تاریخ نمایه سازی: 10 دی 1386
چکیده مقاله:
Background: ethical conduct in human research includes approval by informed consent. Thus, obtaining informed consent is one of the most important considerations when conducting research on human subjects. Evidence of this is often lacking in journal publications.
Methods: the authors reviewed all publications reporting research human subjects in a leading Iranian public health journal (payesh – Health Monitoe) over a period of three years (2001-2004) . Rates of reporting informed consent were examined.
Results: In eighty – two papers (n=82) were reviewed. Of three , 31 atricles were identified for inclusion in the study. There were 18 cross – sectional surveys, 8 case – control studies, and 3 clinical trials. Two papers on screening programs were also examined. The authors found that the obtaining informed consent was documented in 26% of these publications.
Conclusions: the results indicate that the rate of reporting informed consent is low in this journal and perhaps it is the same in other similar major medical journals. This suggests that there is need for clearer guidelines and a better compliance by researchers for all types of publications both to protect participant’s interests and to maintain public trust in the research process.
نویسندگان
Hamid Baradaran
Associate Professor, Iranian Health Research Insitute, university of Medical Sciences
Ali Montazeri
Associate Professor, Iranian Health Research Insitute, university of Medical Sciences
Ali Shahidzadeh
Assistant Professor, Iranian Health Research Insitute, , university of Medical Sciences
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :