เปรียบเทียบวิธี

	การศึกษาความแม่นยำในการวินิจฉัยเชิงปฏิบัติ	การศึกษาความแม่นยำในการวินิจฉัยแบบไปข้างหน้า
สาขาวิชา	ระบาดวิทยา	ระบาดวิทยา
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	2000s–2010s (formalized alongside STARD reporting guidelines)	Formalized 2000s; practice dates to mid-20th century
ผู้ริเริ่ม	Evolved from STARD initiative (Bossuyt et al.) and pragmatic trial framework (Schwartz & Lellouch, 1967)	Established through STARD initiative (Bossuyt, Reitsma et al., 2000s)
ประเภท	Observational diagnostic study design	Observational / evaluative study design
แหล่งต้นตำรับ	Bossuyt, P. M., et al. (2015). STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies. BMJ, 351, h5527.	Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L., ... & Cohen, J. F. (2015). STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ, 351, h5527.
ชื่อเรียกอื่น	real-world diagnostic accuracy study, pragmatic DAS, routine-care diagnostic study, pragmatic test evaluation	prospective DTA study, prospective test accuracy study, forward-looking diagnostic study, prospective index test evaluation
ที่เกี่ยวข้อง	6	6
สรุป	A pragmatic diagnostic accuracy study evaluates how well a diagnostic test performs under real-world clinical conditions — not in idealized, tightly controlled settings. Conducted within routine care workflows, it measures sensitivity, specificity, predictive values, and likelihood ratios for an index test against a reference standard, yielding accuracy estimates directly applicable to clinical practice rather than laboratory benchmarks.	A prospective diagnostic accuracy study enrolls participants before any test results are known and follows them forward in time to evaluate how well an index test (the test under evaluation) distinguishes individuals with and without a target condition, using a reference standard applied independently. Key accuracy metrics include sensitivity, specificity, positive and negative predictive values, and the area under the ROC curve. The prospective design reduces many biases inherent in retrospective test evaluations.