Development of the Verbal Autopsy Instrument for COVID-19 (VAIC)

Background Improving accuracy of identification of COVID-19-related deaths is essential to public health surveillance and research. The verbal autopsy, an established strategy involving an interview with a decedent’s caregiver or witness using a semi-structured questionnaire, may improve accurate co...

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Veröffentlicht in:Journal of general internal medicine : JGIM 2021-11, Vol.36 (11), p.3522-3529
Hauptverfasser: Rosen, Tony, Safford, Monika M., Sterling, Madeline R., Goyal, Parag, Patterson, Melissa, Al Malouf, Christina, Ballin, Mary, Del Carmen, Tessa, LoFaso, Veronica M., Raik, Barrie L., Custodio, Ingrid, Elman, Alyssa, Clark, Sunday, Lachs, Mark S.
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Sprache:eng
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Zusammenfassung:Background Improving accuracy of identification of COVID-19-related deaths is essential to public health surveillance and research. The verbal autopsy, an established strategy involving an interview with a decedent’s caregiver or witness using a semi-structured questionnaire, may improve accurate counting of COVID-19-related deaths. Objective To develop and pilot-test the Verbal Autopsy Instrument for COVID-19 (VAIC) and a death adjudication protocol using it. Methods/Key Results We used a multi-step process to design the VAIC and a protocol for its use. We developed a preliminary version of a verbal autopsy instrument specifically for COVID. We then pilot-tested this instrument by interviewing respondents about the deaths of 15 adults aged ≥65 during the initial COVID-19 surge in New York City. We modified it after the first 5 interviews. We then reviewed the VAIC and clinical information for the 15 deaths and developed a death adjudication process/algorithm to determine whether the underlying cause of death was definitely (40% of these pilot cases), probably (33%), possibly (13%), or unlikely/definitely not (13%) COVID-19-related. We noted differences between the adjudicated cause of death and a death certificate. Conclusions The VAIC and a death adjudication protocol using it may improve accuracy in identifying COVID-19-related deaths.
ISSN:0884-8734
1525-1497
DOI:10.1007/s11606-021-06842-1