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Exploring Conceptualizations of COVID-19 Risk in Ideologically Distinct Online Communities: A Computational Grounded Theory Analysis

Exploring Conceptualizations of COVID-19 Risk in Ideologically Distinct Online Communities: A Computational Grounded Theory Analysis

To address each of these RQs, we applied computational grounded theory, a 3-step approach (pattern detection, hypothesis refinement, and pattern confirmation) developed by Nelson (2020) [19]. This study uses publicly available social media data; as such, we did not seek human participants’ ethical review. To limit the potential of author identification, we paraphrased all quotes included in this manuscript.

Tiwaladeoluwa B Adekunle, Jeremy Foote, Toluwani E Adekunle, Nathan TeBlunthuis, Laura K Nelson

J Med Internet Res 2025;27:e67968

Use of Technology to Support Health Care Providers Delivering Care in Low- and Lower-Middle-Income Countries: Systematic Umbrella Review

Use of Technology to Support Health Care Providers Delivering Care in Low- and Lower-Middle-Income Countries: Systematic Umbrella Review

Craig et al [7] suggested using digital EMR-aligned paper-based data collection forms to help bridge workflows during the transition from paper to digital record keeping. Harrison et al [33] added that a paper-based workflow during the transition could reassure staff that their jobs will not be replaced or drastically changed after the adoption of a digital system.

Adam Craig, Harriet Lawford, Maggie Miller, Liuyi Chen-Cao, Leanna Woods, Siaw-Teng Liaw, Myron Anthony Godinho

J Med Internet Res 2025;27:e66288