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Improving shared decision making for lung cancer treatment by developing and validating an open-source web based patient decision aid for stage I-II non-small cell lung cancer.
Halilaj, Iva; Ankolekar, Anshu; Lenaers, Anouk; Chatterjee, Avishek; Oberije, Cary J G; Eppings, Lisanne; Smit, Hans J M; Hendriks, Lizza E L; Jochems, Arthur; Lieverse, Relinde I Y; van Timmeren, Janita E; Wind, Anke; Lambin, Philippe.
Afiliación
  • Halilaj I; The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands.
  • Ankolekar A; Health Innovation Ventures, Maastricht, Netherlands.
  • Lenaers A; The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands.
  • Chatterjee A; The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands.
  • Oberije CJG; The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands.
  • Eppings L; Kheiron Medical Technologies, London, United Kingdom.
  • Smit HJM; The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands.
  • Hendriks LEL; Rijnstate Hospital, Arnhem, Netherlands.
  • Jochems A; Department of Pulmonary Diseases, GROW School for Oncology and Reproduction, Maastricht University Medical Center, Maastricht, Netherlands.
  • Lieverse RIY; The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands.
  • van Timmeren JE; The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands.
  • Wind A; Department of Internal Medicine, Catharina Hospital, Eindhoven, Netherlands.
  • Lambin P; Department of Radiation Oncology, Radboud University Medical Centre, Nijmegen, Netherlands.
Front Digit Health ; 5: 1303261, 2023.
Article en En | MEDLINE | ID: mdl-38586126
ABSTRACT
The aim of this study was to develop and evaluate a proof-of-concept open-source individualized Patient Decision Aid (iPDA) with a group of patients, physicians, and computer scientists. The iPDA was developed based on the International Patient Decision Aid Standards (IPDAS). A previously published questionnaire was adapted and used to test the user-friendliness and content of the iPDA. The questionnaire contained 40 multiple-choice questions, and answers were given on a 5-point Likert Scale (1-5) ranging from "strongly disagree" to "strongly agree." In addition to the questionnaire, semi-structured interviews were conducted with patients. We performed a descriptive analysis of the responses. The iPDA was evaluated by 28 computer scientists, 21 physicians, and 13 patients. The results demonstrate that the iPDA was found valuable by 92% (patients), 96% (computer scientists), and 86% (physicians), while the treatment information was judged useful by 92%, 96%, and 95%, respectively. Additionally, the tool was thought to be motivating for patients to actively engage in their treatment by 92%, 93%, and 91% of the above respondents groups. More multimedia components and less text were suggested by the respondents as ways to improve the tool and user interface. In conclusion, we successfully developed and tested an iPDA for patients with stage I-II Non-Small Cell Lung Cancer (NSCLC).
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Digit Health Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Digit Health Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos
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