Validating estimates of prevalence of non-communicable diseases based on household surveys: the symptomatic diagnosis study

BMC Medicine

Bernardo Hernandez³  Rafael Lozano¹  Emmanuela Gakidou³  Christopher JL Murray³  Andrea Stewart³  Peter Serina³  Abraham Flaxman³  Kelsey Pierce³  Sara Gómez⁴  Dolores Ramírez-Villalobos¹  Minerva Romero²  Spencer L James⁵ 

[1] Center for Health Systems Research, National Institute of Public Healt. Av. Universidad 655. Col. Santa María Ahuacatitlán, Cuernavaca 62508, Morelos, Mexico;Center for Population Health Research, National Institute of Public Health, Av. Universidad 655. Col. Santa María Ahuacatitlán, Cuernavaca 62508, Morelos, Mexico;Institute for Health Metrics and Evaluation, University of Washington, 2301 Fifth Ave., Suite 600, Seattle 98121, WA, USA;Ipas, P.O. Box 9990, Chapel Hill, NC 27515, USA;Geisel School of Medicine at Dartmouth, Dartmouth College. 1 Rope Ferry Road, Hanover 03755-1404, NH, USA

关键词: Questionnaire;    Non-communicable diseases prevalence;    Non-communicable diseases;    Mexico;    Automated methods;   

Others  :  1109754
DOI  :  10.1186/s12916-014-0245-8

 received in 2014-09-11, accepted in 2014-12-08,  发布年份 2015

【 摘 要 】

Background

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.

Methods

As part of the Population Health Metrics Research Consortium study, we collected 1,379 questionnaires in Mexico from individuals who suffered from a non-communicable disease that had been diagnosed with gold standard diagnostic criteria or individuals who did not suffer from any of the 10 target conditions. To make the diagnosis of non-communicable diseases, we selected the Tariff method, a technique developed for verbal autopsy cause of death calculation. We assessed the performance of this instrument and analytical techniques at the individual and population levels.

Results

The questionnaire revealed that the information on health care experience retrieved achieved 66.1% (95% uncertainty interval [UI], 65.6–66.5%) chance corrected concordance with true diagnosis of non-communicable diseases using health care experience and 0.826 (95% UI, 0.818–0.834) accuracy in its ability to calculate fractions of different causes. SD is also capable of outperforming the current estimation techniques for conditions estimated by questionnaire-based methods.

Conclusions

SD is a viable method for producing estimates of the prevalence of non-communicable diseases in areas with low health information infrastructure. This technology can provide higher-resolution prevalence data, more flexible data collection, and potentially individual diagnoses for certain conditions.

【 授权许可】

   
2015 James et al.; licensee BioMed Central.

【 图 表 】

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