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

Usage Data and Process Outcomes in eHealth Trials (56)

Published on in Vol 7, No 5 (2018): May

The Development of Delta: Using Agile to Develop a Decision Aid for Pediatric Oncology Clinical Trial Enrollment

The Development of Delta: Using Agile to Develop a Decision Aid for Pediatric Oncology Clinical Trial Enrollment

The Development of Delta: Using Agile to Develop a Decision Aid for Pediatric Oncology Clinical Trial Enrollment

Authors of this article:

Eden G Robertson1, 2 Author Orcid Image ;   Claire E Wakefield1, 2 Author Orcid Image ;   Richard J Cohn1, 2, 3 Author Orcid Image ;   Tracey O'Brien2, 3 Author Orcid Image ;   David S Ziegler2, 3 Author Orcid Image ;   Joanna E Fardell1, 2 Author Orcid Image
Article Authors Cited by (12) Tweetations (60) Metrics

Journals

  1. Sin J, Henderson C, Woodham L, Sesé Hernández A, Gillard S. A Multicomponent eHealth Intervention for Family Carers for People Affected by Psychosis: A Coproduced Design and Build Study. Journal of Medical Internet Research 2019;21(8):e14374 View
  2. Robertson E, Wakefield C, Shaw J, Darlington A, McGill B, Cohn R, Fardell J. Decision-making in childhood cancer: parents’ and adolescents’ views and perceptions. Supportive Care in Cancer 2019;27(11):4331 View
  3. Kannan V, Basit M, Bajaj P, Carrington A, Donahue I, Flahaven E, Medford R, Melaku T, Moran B, Saldana L, Willett D, Youngblood J, Toomay S. User stories as lightweight requirements for agile clinical decision support development. Journal of the American Medical Informatics Association 2019;26(11):1344 View
  4. Robertson E, Wakefield C, Cohn R, Battisti R, Donoghoe M, Ziegler D, Fardell J, Mitchell R, O'Brien T. Piloting a parent and patient decision aid to support clinical trial decision making in childhood cancer. Psycho-Oncology 2019;28(7):1520 View
  5. Medeiros C, Buckley L, Metcalfe K, Narayanan U, Widger K. Decision aids available for parents making end‐of‐life or palliative care decisions for children: A scoping review. Journal of Paediatrics and Child Health 2020;56(5):692 View
  6. Robertson E, Cohen J, Signorelli C, Grant D, Fardell J, Wakefield C. What instruments should we use to assess paediatric decision-making interventions? A narrative review. Journal of Child Health Care 2020;24(3):458 View
  7. Parker K, Cottrell E, Stork L, Lindemulder S. Parental decision making regarding consent to randomization on Children's Oncology Group AALL0932. Pediatric Blood & Cancer 2021;68(4) View
  8. Witteman H, Maki K, Vaisson G, Finderup J, Lewis K, Dahl Steffensen K, Beaudoin C, Comeau S, Volk R. Systematic Development of Patient Decision Aids: An Update from the IPDAS Collaboration. Medical Decision Making 2021;41(7):736 View
  9. Duffy A, Christie G, Moreno S. Examining Challenges to the Incorporation of End Users in the Design of Digital Health Interventions: Protocol for a Systematic Review. JMIR Research Protocols 2021;10(7):e28083 View
  10. von Itzstein M, Hullings M, Mayo H, Beg M, Williams E, Gerber D. Application of Information Technology to Clinical Trial Evaluation and Enrollment. JAMA Oncology 2021;7(10):1559 View
  11. Swart R, Fijten R, Boersma L, Kalendralis P, Behrendt M, Ketelaars M, Roumen C, Jacobs M. External validation of a prediction model for timely implementation of innovations in radiotherapy. Radiotherapy and Oncology 2023;179:109459 View
  12. Papachristou N, Kotronoulas G, Dikaios N, Allison S, Eleftherochorinou H, Rai T, Kunz H, Barnaghi P, Miaskowski C, Bamidis P. Digital Transformation of Cancer Care in the Era of Big Data, Artificial Intelligence and Data-Driven Interventions: Navigating the Field. Seminars in Oncology Nursing 2023;39(3):151433 View