Improving providers' survival estimates and selection of prognosis‐ and guidelines‐appropriate treatment for patients with symptomatic bone metastases: Development of the Bone Metastases Ensemble Trees for Survival Decision Support Platform
Rationale, Aims and Objectives In the management of symptomatic bone metastases, current practice guidelines do not provide clear methodology for selecting palliative radiotherapy (RT) regimens based on specific patient and disease features. Decision support aids may offer an effective means for tra...
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Published in | Journal of evaluation in clinical practice Vol. 28; no. 4; pp. 581 - 598 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Wiley Subscription Services, Inc
01.08.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Rationale, Aims and Objectives
In the management of symptomatic bone metastases, current practice guidelines do not provide clear methodology for selecting palliative radiotherapy (RT) regimens based on specific patient and disease features. Decision support aids may offer an effective means for translating the complex data needed to render individualised treatment decisions, yet no such tools are available for use in this setting. Thus, we describe the development of the Bone Metastases Ensemble Trees for Survival‐Decision Support Platform (BMETS‐DSP), which aims to optimise selection of evidence‐based, individualised palliative RT regimens.
Method
The Ottawa Decision Support Framework was used as the theoretical basis for development of BMETS‐DSP. First, we utilised stakeholder input and review of the literature to assess determinants underlying the provider decision. Based on this assessment and iterative stakeholder feedback, we developed the web‐based, provider‐facing BMETS‐DSP. Consistent with the underlying theoretical framework, our design also included assessment of decision quality using the International Patient Decision Aids Standards (IPDAS) certification checklist.
Results
Stakeholder input and review of 54 evidence‐based publications identified the following determinants of the provider decision: estimated prognosis, characteristics of the target symptomatic lesion and the primary cancer type, consideration of alternative interventions, access to patient‐specific recommendations, and patient preferences. Based on these determinants, we developed the BMETS‐DSP that (1) collects patient‐specific data, (2) displays an individualised predicted survival curve, and (3) provides case‐specific, evidence‐based recommendations regarding RT, open surgery, systemic therapy, and hospice referral to aid in the decision‐making process. The finalised tool met IPDAS quality requirements. Preliminary results of a pilot assessment suggest impact of clinical outcomes.
Conclusions
We describe the successful development of a provider‐facing decision support platform to aid in the provision of palliative RT in better alignment with patient and disease features. Impact of the BMETS‐DSP on decision outcomes will be further assessed in a randomised, controlled study. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-2 |
ISSN: | 1356-1294 1365-2753 |
DOI: | 10.1111/jep.13652 |