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Identifying trajectories across care modalities before and after COVID-19 using sequence analysis.

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Title: Identifying trajectories across care modalities before and after COVID-19 using sequence analysis.
Authors: Rapson T; Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA.; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA., Kemper-McIsaac KE; Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA., Sherwin EB; Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA., Clifford N; School of Nursing, The University of Texas at Austin, Austin, TX, USA., Pacca L; Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.; Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, San Francisco, CA, USA., Rubinsky A; Academic Research Services, Information Technology, University of California, San Francisco, San Francisco, CA, USA., Lyles CR; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.; Center for Healthcare Policy and Research, University of California at Davis, School of Medicine, Sacramento, CA, USA.; Action Research Center for Health, Zuckerberg San Francisco General Hospital, University of California, San Francisco, San Francisco, CA, USA., Khoong EC; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA. elaine.khoong@ucsf.edu.; Action Research Center for Health, Zuckerberg San Francisco General Hospital, University of California, San Francisco, San Francisco, CA, USA. elaine.khoong@ucsf.edu.; Division of Clinical Informatics and Digital Transformation (DoC-IT), Department of Medicine, University of California, San Francisco, San Francisco, CA, USA. elaine.khoong@ucsf.edu.
Source: NPJ digital medicine [NPJ Digit Med] 2026 May 26. Date of Electronic Publication: 2026 May 26.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med
Database: MEDLINE Ultimate
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