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

Non-randomized Protocols and Methods (ehealth) (671) Consumer & Patient Education and Shared-Decision Making (862) Formative Studies and eHealth/mHealth Development (575) Patient Education for Cancer (227)

Published on in Vol 5, No 3 (2016): Jul-Sept

An Online Learning Module to Increase Self-Efficacy and Involvement in Care for Patients With Advanced Lung Cancer: Research Protocol

An Online Learning Module to Increase Self-Efficacy and Involvement in Care for Patients With Advanced Lung Cancer: Research Protocol

An Online Learning Module to Increase Self-Efficacy and Involvement in Care for Patients With Advanced Lung Cancer: Research Protocol

Authors of this article:

Anna Janssen1 Author Orcid Image ;   Tim Shaw1 Author Orcid Image ;   Adnan Nagrial2 Author Orcid Image ;   Christopher Pene2 Author Orcid Image ;   Melanie Rabbets2 Author Orcid Image ;   Matteo Carlino2 Author Orcid Image ;   Clare Zachulski2 Author Orcid Image ;   Jane Phillips3 Author Orcid Image ;   Robert Birnbaum4 Author Orcid Image ;   Tejal Gandhi5 Author Orcid Image ;   Paul Harnett2 Author Orcid Image
Article Authors Cited by (6) Tweetations (7) Metrics

Journals

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  3. Reid H, Mohammadi S, Watson W, Robillard J, Crocker M, Westby M, Miller W. Patient and Caregiver Perspectives on an eHealth Tool: A Qualitative Investigation of Preferred Formats, Features and Characteristics of a Presurgical eHealth Education Module. Rehabilitation Process and Outcome 2021;10 View
  4. Janssen A, Shah K, Rabbets M, Nagrial A, Pene C, Zachulski C, Phillips J, Harnett P, Shaw T. Feasibility of Microlearning for Improving the Self-Efficacy of Cancer Patients Managing Side Effects of Chemotherapy. Journal of Cancer Education 2023;38(5):1697 View
  5. Wang T, Ma Q, Fan S, Tang M, Liu X, Li J, Luo J, Sui W. Current Status and Typing of Physical Activity in Lung Cancer Patients Post Surgery at Home: Which Patients Need Support in Activities?. Cancer Nursing 2025 View

Books/Policy Documents

  1. Ji J. The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. View