This paper is in the following e-collection/theme issue:

Public (e)Health, Digital Epidemiology and Public Health Informatics (986) Secondary Use of Clinical Data for Research and Surveillance (467) Innovative Methods in Public Health and Surveillance (377) Theoretical Frameworks and Concepts (334) Quality Improvement (291) Public Health Informatics (130) Focus Groups and Qualitative Research for Human Factors Research (1192)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17240, first published .
Validation of 4D Components for Measuring Quality of the Public Health Data Collection Process: Elicitation Study

Validation of 4D Components for Measuring Quality of the Public Health Data Collection Process: Elicitation Study

Validation of 4D Components for Measuring Quality of the Public Health Data Collection Process: Elicitation Study

Authors of this article:

Hong Chen1, 2 Author Orcid Image ;   Ping Yu1, 3 Author Orcid Image ;   David Hailey1 Author Orcid Image ;   Tingru Cui4 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

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  2. Craike M, Klepac B, Mowle A. Introducing PROSPECT: a novel process for prospectively tracking research engagement. Health Research Policy and Systems 2025;23(1) View