[Construction of data source indicator system for acute respiratory infectious disease surveillance based on the Delphi method].

<b>Objective:</b> To establish an indicator system for surveillance of data sources to provide a theoretical basis for respiratory infectious disease surveillance and early warning. <b>Methods:</b> Indicators for data sources in the surveillance of acute respiratory infectious diseases were initially compiled through a literature search. Subsequently, two rounds of expert consultations were conducted with 22 experts using the Delphi method to refine the indicators. <b>Results:</b> The questionnaire recovery rates for the two rounds of expert consultation were 100.00% and 86.36%, respectively. The authority coefficient of the experts was 0.83. The coordination coefficient of the second round of Delphi expert consultation was 0.32, and the coefficient of variation of each indicator was less than 0.25. Finally, the indicators system of data source for the surveillance of acute respiratory infectious diseases includes 4 first-level indicators, 10 second-level indicators, and 26 third-level indicators. <b>Conclusion:</b> The indicator system of data sources for the surveillance of acute respiratory infectious diseases constructed in this study is reasonable and reliable, providing a valuable reference for surveillance, early warning and policy formulation of acute respiratory infectious diseases.

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Publication Details

Journal
PubMed
Published
2024-11-10
DOI
https://doi.org/10.3760/cma.j.cn112338-20240625-00372
Primary Topic
Delphi Technique in Research
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article
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[Construction of data source indicator system for acute respiratory infectious disease surveillance based on the Delphi method].

Wenjing Yang, C C Ye, L P Hao, Z J Li et al.
PubMed
Delphi Technique in Research
article

[Construction of data source indicator system for acute respiratory infectious disease surveillance based on the Delphi method].

Wenjing Yang, C C Ye, L P Hao, Z J Li, Dazhu Huo, Yang Wang
article en

Abstract

<b>Objective:</b> To establish an indicator system for surveillance of data sources to provide a theoretical basis for respiratory infectious disease surveillance and early warning. <b>Methods:</b> Indicators for data sources in the surveillance of acute respiratory infectious diseases were initially compiled through a literature search. Subsequently, two rounds of expert consultations were conducted with 22 experts using the Delphi method to refine the indicators. <b>Results:</b> The questionnaire recovery rates for the two rounds of expert consultation were 100.00% and 86.36%, respectively. The authority coefficient of the experts was 0.83. The coordination coefficient of the second round of Delphi expert consultation was 0.32, and the coefficient of variation of each indicator was less than 0.25. Finally, the indicators system of data source for the surveillance of acute respiratory infectious diseases includes 4 first-level indicators, 10 second-level indicators, and 26 third-level indicators. <b>Conclusion:</b> The indicator system of data sources for the surveillance of acute respiratory infectious diseases constructed in this study is reasonable and reliable, providing a valuable reference for surveillance, early warning and policy formulation of acute respiratory infectious diseases.

PubMedVol. 45(11)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), Shanghai Municipal Center For Disease Control Prevention (CN)
Delphi Technique in Research
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