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

Formative Evaluation of Digital Health Interventions (2976) Research Instruments, Questionnaires, and Tools (694) Tools, Programs and Algorithms (345) Decision Support for Health Professionals (1427) Chronic Conditions (375) Clinical Information and Decision Making (1755) Consumer & Patient Education and Shared-Decision Making (792) mHealth in a Clinical Setting (702) Usability of Apps and User Perceptions of mHealth (1124) Mobile Apps for Chronic Disease Management in Childhood and Adolescence (44)

Published on in Vol 5, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30093, first published .
A Decision Support Tool for Allogeneic Hematopoietic Stem Cell Transplantation for Children With Sickle Cell Disease: Acceptability and Usability Study

A Decision Support Tool for Allogeneic Hematopoietic Stem Cell Transplantation for Children With Sickle Cell Disease: Acceptability and Usability Study

A Decision Support Tool for Allogeneic Hematopoietic Stem Cell Transplantation for Children With Sickle Cell Disease: Acceptability and Usability Study

Authors of this article:

Anirudh Veludhandi1 Author Orcid Image ;   Diana Ross1 Author Orcid Image ;   Cynthia B Sinha1 Author Orcid Image ;   Courtney McCracken2 Author Orcid Image ;   Nitya Bakshi1 Author Orcid Image ;   Lakshmanan Krishnamurti1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Hollander S, Pyke-Grimm K, Shezad M, Zafar F, Cousino M, Feudtner C, Char D. End-of-Life in Pediatric Patients Supported by Ventricular Assist Devices: A Network Database Cohort Study. Pediatric Critical Care Medicine 2023;24(1):41 View
  2. Vanterpool K, Gacki-Smith J, Kuramitsu B, Downey M, Nordstrom M, Luken M, Riggleman T, Fichter S, Altema W, Brucker J, Cooney C, Dumanian G, Jensen S, Levan M, Tintle S, Brandacher G, Gordon E. A Patient-Centered Website (Within Reach) to Foster Informed Decision-making About Upper Extremity Vascularized Composite Allotransplantation: Development and Usability Study. JMIR Formative Research 2023;7:e44144 View
  3. Chandrashekar R, Kane M, Krishnamurti L. Machine-Learning Predictive Tool for the Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease: A Registry Based Study (Preprint). JMIR AI 2024 View

Books/Policy Documents

  1. Issom D. Sickle Cell Disease. View