Identifying underlying cause-of-death at scale: the verbal autopsy and beyond Abraham D. Flaxman 4/17/2019.

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Presentation transcript:

Identifying underlying cause-of-death at scale: the verbal autopsy and beyond Abraham D. Flaxman 4/17/2019

Outline Why count deaths and why count them cause by cause? What is verbal autopsy and how can it help to do this? What can we do today, and how does SmartVA play a role?

Outline Why count deaths and why count them cause by cause? What is verbal autopsy and how can it help to do this? What can we do today, and how does SmartVA play a role?

As I mentioned, I’m an associate professor of global health, but I used to be a mathematician. I started working on global health metrics for the Global Burden of Disease 2010 Study about ten years ago, and before that I didn’t know what it was. Live Poll on Familiarity with GBD. Raise your hands, who has: * Worked on GBD * Read/cited results from GBD * Heard of GBD * Read an article that starts with “[Disease X] causes [YYY] deaths annually”… The GBD is a massive, collaborative effort to quantify the burden of over 200 diseases, injuries, and risk factors, and make comparable estimates of how much health each condition claims geographically and temporally.

GBD Results Viewer: vizhub.healthdata.org “It takes a while to get good at finding your way around the tools, but once you do, they are amazingly informative.” ---Bill Gates Quote source: https://web.archive.org/web/20181227184913/https://www.gatesnotes.com/Books/Epic-Measures Viz source: Under 5 mortality in sub-Saharan Africa from vizhub.healthdata.org

Outline Why count deaths and why count them cause by cause? What is verbal autopsy and how can it help to do this? What can we do today, and how does SmartVA play a role?

Death Registration Coverage

Verbal Autopsy Signs and symptoms associated with major causes of death can be recalled by relatives after the fact of death. Field interviewers speak with the next of kin using a VA questionnaire

History Projects in Asia and Africa in the 1950s and 1960s used systematic interviews by physicians to assess causes of death Field workers at the Narangwal project in India labeled this technique ‘‘verbal autopsy’’ (VA) The method subsequently spread and developed, particularly during the 1970s, when WHO suggested lay reporting of health information by people with no medical background Today, VA remains the best available approach for assessing causes of death in communities in which most deaths occur at home

To do this, let me introduce you to the verbal autopsy. The verbal autopsy is a survey designed to gather the necessary information on signs and symptoms of a fatal illness through a structured interview with a relative of the deceased who is familiar with their health experience. The survey itself does not require mobile technology. It was invented before most of this mobile technology. But… it is complicated! Here are some parts:

Example VA response (this data is real) Deceased was 53 Year Old Male, with: Asthma Heart Disease Hypertension Ankle Swelling Puffiness of the Face, All Over His Body Cough, Produced Sputum Difficulty Breathing - On-and- Off, Worse in Walking Position More than Usual Protruding Belly Used Tobacco Drank Low Amount of Alcohol Free Text: Asthma, Breath, Heart, Lung, Swell, Water Underlying Cause: COPD COPD (A) Level 1 Diagnosis established by one of: Spirometry diagnosis FEVI<70% with no response to bronchodilators Chest x-ray features hyperinflation, flat hemi-diaphragms, reduced peripheral vascular markings, presence of bullae in conjunction with clinical features of COPD AND Terminal illness due to one of: Pneumonia Cor pulmonale Respiratory failure   Level 2B Diagnosis established by the following criteria: Productive cough and breathlessness for 3 or more months of the year for a minimum of 2 successive years Level 3 Clinical diagnosis of COPD not meeting the above criteria

PHMRC VA Validation Dataset Population Health Metrics Research Consortium (PHMRC) study was part of the Bill & Melinda Gates Foundation Grand Challenges in Global Health http://ghdx.healthmetricsandevaluation.org/record/population-health-metrics-research-consortium-gold-standard-verbal-autopsy-data-2005-2011

Deaths with CoD known and VA collected Site Adult Child Neonate Total Level 1 Level 2 AP 1,285 269 385 66 376 1 2,382 Bohol 998 262 234 30 374 1,898 Dar 1,556 162 366 106 1,047 2 3,239 Mexico 1,373 215 124 4 313 2,031 Pemba 266 31 156 105 261 3 822 UP 1,277 142 412 87 251 2,170 6,755 1,081 1,677 398 2,622 9 12,542

Labeled data

Outline Why count deaths and why count them cause by cause? What is verbal autopsy and how can it help to do this? What can we do today, and how does SmartVA play a role?

The time it takes to do an interview is important, and electronic data collection makes it possible to monitor these times precisely. Even more important, however, is the time it takes to process the results, and having a uniform database is a simple success that is important to emphasize. Of course, once the data is in digital format, it is also very appealing to process it automatically. If this were a different talk, I would have quite a lot to say about methods for computer-coded verbal autopsy.

Data-driven Item Reduction

Population-level quality CSMF Accuracy, True CSMF Predicted CSMF

Out-of-sample validation Really being out-of-sample is tricky for CSMF Accuracy Unusual part here

SmartVA works! It has been applied in a dozen countries on more than 80,000 deaths. We can train people (community health workers) to successfully apply the questionnaire in 20-25 minutes We typically diagnose the cause of death in 7 out of 8 cases. We are progressively embedding in country VR systems where the method is dramatically increasing information about causes of death in the community. In some countries (e.g. Solomon Islands, Philippines), they are using SmartVA to diagnose the cause of death for DoAs. It’s revolutionizing CRVS systems Abie!!

Acknowledgements Bill and Melinda Gates Foundation Bloomberg Philanthropies Many hard-working researchers, especially Drs. Alan Lopez, Chris Murray, Spencer James, Andrea Stewart, Alireza Vahdatpour, Jonathan Joseph. All of the families who provided their interviews to the PHMRC “Gold Standard” Database.