TY - JOUR AU - James, Spencer L. AU - Romero, Minerva AU - Ramírez-Villalobos, Dolores AU - Gómez, Sara AU - Pierce, Kelsey AU - Flaxman, Abraham AU - Serina, Peter AU - Stewart, Andrea AU - Murray, Christopher JL AU - Gakidou, Emmanuela AU - Lozano, Rafael AU - Hernandez, Bernardo PY - 2015 DA - 2015/01/26 TI - Validating estimates of prevalence of non-communicable diseases based on household surveys: the symptomatic diagnosis study JO - BMC Medicine SP - 15 VL - 13 IS - 1 AB - Easy-to-collect epidemiological information is critical for the more accurate estimation of the prevalence and burden of different non-communicable diseases around the world. Current measurement is restricted by limitations in existing measurement systems in the developing world and the lack of biometry tests for non-communicable diseases. Diagnosis based on self-reported signs and symptoms (“Symptomatic Diagnosis,” or SD) analyzed with computer-based algorithms may be a promising method for collecting timely and reliable information on non-communicable disease prevalence. The objective of this study was to develop and assess the performance of a symptom-based questionnaire to estimate prevalence of non-communicable diseases in low-resource areas. SN - 1741-7015 UR - https://doi.org/10.1186/s12916-014-0245-8 DO - 10.1186/s12916-014-0245-8 ID - James2015 ER -