Learn how to use the Learning Centre

Move your way through the CRVS system or simply click on a topic to dive into a specific subject.

An account lets you:

  • Save resources from our Library
  • Track your progress through the Learning Centre
  • Sign-up for our free newsletter

Cause of death: where there is no physician

Verbal autopsy diagnostic algorithms

As noted earlier, traditionally VA interviews are analysed by physicians to come up with a likely COD (PCVA). Given the workload on physicians, this approach leads to delays due to time constraints faced by physicians who are involved in day-to-day care of patients. Also, physicians do not always agree on the diagnosis of COD, so it is necessary to involve two or more physicians to determine a final, agreed cause. Therefore, inter-rater-reliability (or diagnostic consistency) among physicians reading the same VA interview could be low, and unstandarised across (and within) countries.

For VA to be used routinely and generate CSMFs in a timelier way, standardised, and cost-effective way, more efficient ways of determining the COD based on the interviews are needed. This has led to the development of automated algorithms. These methods have been shown to perform as well as, if not better than PCVA and have the benefit of consistency, extremely low-cost and reliability, as well as speed. Results can be available immediately following the interview. 

Currently, three automated diagnostic methods are widely available: Tariff, InterVA and InSilicoVA.  

The PHMRC questionnaire collects only the information required by the Tariff method that uses SmartVA Analyze

The WHO 2016 VA questionnaire, asks a number of questions about symptoms in order to run any one or all of the three automated diagnostic methods currently available: Tariff, InterVA and InSilicoVA. This could lead to three different diagnoses of the most probable cause of death. Guidance to assist countries with the interpretation of multiple diagnoses of the most probable cause of death is being developed.

Algorithm for application of COD rules

© University of Melbourne 2018   For more information on copyright visit our website terms