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The Hand, Foot, and Mouth Disease Sentinel Surveillance System in South Korea: Retrospective Evaluation Study

The Hand, Foot, and Mouth Disease Sentinel Surveillance System in South Korea: Retrospective Evaluation Study

We considered the sensitivity of the surveillance performance as weak (score 1), moderate (score 2), and good (score 3) using a 3-point scale (score 1: For representativeness (ie, age representativeness), we compared the proportion of 0‐ to 6-year-olds in the surveillance data, which is the age group most affected by HFMD [19], with the proportion of 0‐ to 6-year-olds from KHIRA data on patients with HFMD.

Bryan Inho Kim, Chiara Achangwa, Seonghui Cho, Jisoo Ahn, Jisu Won, Hyunkyung Do, Dayeong Lee, Bohye Yoon, Joohee Kim, Sukhyun Ryu

JMIR Public Health Surveill 2024;10:e59446

Opt-In and Opt-Out Consent Procedures for the Reuse of Routinely Recorded Health Data in Scientific Research and Their Consequences for Consent Rate and Consent Bias: Systematic Review

Opt-In and Opt-Out Consent Procedures for the Reuse of Routinely Recorded Health Data in Scientific Research and Their Consequences for Consent Rate and Consent Bias: Systematic Review

This can threaten the representativeness of the study sample [12-15] and ultimately render the research unreliable and, therefore, impossible. If the exemption from obtaining informed consent applies, further conditions must be met, such as the research must be in public interest and that patients have not objected to the reuse of their data for research.

Yvonne de Man, Yvonne Wieland-Jorna, Bart Torensma, Koos de Wit, Anneke L Francke, Mariska G Oosterveld-Vlug, Robert A Verheij

J Med Internet Res 2023;25:e42131

Sociodemographic Representativeness in a Nationwide Web-Based Survey of the View of Men on Involvement in Health Care Decision-Making: Cross-Sectional Questionnaire Study

Sociodemographic Representativeness in a Nationwide Web-Based Survey of the View of Men on Involvement in Health Care Decision-Making: Cross-Sectional Questionnaire Study

As is the case with other survey approaches, however, using the internet for data collection may raise concerns about nonresponse bias and sample representativeness [7]. A representative survey sample can be defined as “one that has strong external validity in relationship to the target population the sample is meant to represent” [8]. This implies that results from the survey analyses can be generalized with confidence to the population of interest.

Søren F Birkeland, Anders K Haakonsson, Susanne S Pedersen, Nina Rottmann, Michael J Barry, Sören Möller

J Med Internet Res 2020;22(9):e19517

Online Recruitment: Feasibility, Cost, and Representativeness in a Study of Postpartum Women

Online Recruitment: Feasibility, Cost, and Representativeness in a Study of Postpartum Women

The current study investigates the feasibility of recruiting a large sample of postpartum women online for health research, and examines sample representativeness. Sociodemographic and health characteristics were compared between an online sample and another postpartum sample that was recruited face-to-face in the context of a nationally representative household survey.

Liana S Leach, Peter Butterworth, Carmel Poyser, Philip J Batterham, Louise M Farrer

J Med Internet Res 2017;19(3):e61