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10.1007/s11606-021-06842-1

http://scihub22266oqcxt.onion/10.1007/s11606-021-06842-1
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34173194!8231744!34173194
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suck abstract from ncbi


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pmid34173194      J+Gen+Intern+Med 2021 ; 36 (11): 3522-3529
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  • Development of the Verbal Autopsy Instrument for COVID-19 (VAIC) #MMPMID34173194
  • Rosen T; Safford MM; Sterling MR; Goyal P; Patterson M; Al Malouf C; Ballin M; Del Carmen T; LoFaso VM; Raik BL; Custodio I; Elman A; Clark S; Lachs MS
  • J Gen Intern Med 2021[Nov]; 36 (11): 3522-3529 PMID34173194show ga
  • 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.
  • |*COVID-19[MESH]
  • |Adult[MESH]
  • |Autopsy[MESH]
  • |Cause of Death[MESH]
  • |Humans[MESH]
  • |SARS-CoV-2[MESH]


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