Journal Article

Automated versus physician assignment of cause of death for verbal autopsies: randomized trial of 9374 deaths in 117 villages in India

Shah, Utkarsh, McCormick, Tyler H., Li, Zehang Richard, Wen, Richard, Shah, Prakash, Piyasena, Kapila, Clark, Samuel J., Aleksandrowicz, Lukasz, Raithatha, Shyamsundar J., Begum, Rehana, Gelband, Hellen, Kolpak, Patrycja, Dikshit, Rajesh, Sati, Prabha, Kumar, Dinesh, Budukh, Atul, Jha, Prabhat

2019

Overview

Background Verbal autopsies with physician assignment of cause of death (COD) are commonly used in settings where medical certification of deaths is uncommon. It remains unanswered if automated algorithms can replace physician assignment. Methods We randomized verbal autopsy interviews for deaths in 117 villages in rural India to either physician or automated COD assignment. Twenty-four trained lay (non-medical) surveyors applied the allocated method using a laptop-based electronic system. Two of 25 physicians were allocated randomly to independently code the deaths in the physician assignment arm. Six algorithms (Naïve Bayes Classifier (NBC), King-Lu, InSilicoVA, InSilicoVA-NT, InterVA-4, and SmartVA) coded each death in the automated arm. The primary outcome was concordance with the COD distribution in the standard physician-assigned arm. Four thousand six hundred fifty-one (4651) deaths were allocated to physician (standard), and 4723 to automated arms. Results The two arms were nearly identical in demographics and key symptom patterns. The average concordances of automated algorithms with the standard were 62%, 56%, and 59% for adult, child, and neonatal deaths, respectively. Automated algorithms showed inconsistent results, even for causes that are relatively easy to identify such as road traffic injuries. Automated algorithms underestimated the number of cancer and suicide deaths in adults and overestimated other injuries in adults and children. Across all ages, average weighted concordance with the standard was 62% (range 79–45%) with the best to worst ranking automated algorithms being InterVA-4, InSilicoVA-NT, InSilicoVA, SmartVA, NBC, and King-Lu. Individual-level sensitivity for causes of adult deaths in the automated arm was low between the algorithms but high between two independent physicians in the physician arm. Conclusions While desirable, automated algorithms require further development and rigorous evaluation. Lay reporting of deaths paired with physician COD assignment of verbal autopsies, despite some limitations, remains a practicable method to document the patterns of mortality reliably for unattended deaths. Trial registration ClinicalTrials.gov , NCT02810366. Submitted on 11 April 2016.

• Publisher: BioMed Central,BioMed Central Ltd,BMC
• Subject: Adult / Algorithms / Analysis / Automation / Autopsy / Autopsy - methods / Biomedicine / Child / Clinical trials / COD classification / Data Collection - methods / Death / Female / Humans / India / Infant mortality / Male / Medical care quality / Medicine / Medicine & Public Health / Mortality / Pediatric injuries / Physician coding / Physicians / Physicians - standards / Practice / Research Article / Suicide / Verbal autopsies