کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8736645 1591167 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Decision support tools in low back pain
ترجمه فارسی عنوان
ابزارهای پشتیبانی تصمیم گیری در کمر درد
کلمات کلیدی
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی ایمونولوژی، آلرژی و روماتولوژی
چکیده انگلیسی
Information from individual classification systems or clinical prediction rules that aim to facilitate stratified care in low back pain is important but often not comprehensive enough to be used to support clinical decision-making. The development and implementation of a clinically useful decision support tool (DST) that considering all key features is a challenging enterprise, requiring a multidisciplinary approach. Key features are inclusion of all relevant treatment options, patient characteristics, and benefits and harms and presentation as an accessible and easy to use toolkit. To be of clinical value, a DST should (1) be based on large numbers of high-quality data, allowing robust estimation of benefits and harms; (2) be presented using visually attractive and easy-to-use software; (3) be externally validated with a clinical beneficial impact established; and (4) include a procedure for regular updating and monitoring. As an illustration, we describe the development; presentation; and plans for further validation, implementation, and updating of the Nijmegen Decision Tool for Chronic Low Back Pain (NDT-CLBP).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Best Practice & Research Clinical Rheumatology - Volume 30, Issue 6, December 2016, Pages 1084-1097
نویسندگان
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