Digital support to multimodal community-based prehabilitation: looking for optimization of health value generation
Prehabilitation has shown its potential for most intra-cavity surgery patients on enhancing preoperative functional capacity and postoperative outcomes. However, its large-scale implementation is limited by several constrictions, such as: i) unsolved practicalities of the service workflow, ii) chall...
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| Hauptverfasser: | , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
17 June 2021
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| In: |
Frontiers in oncology
Year: 2021, Jahrgang: 11, Pages: 1-7 |
| ISSN: | 2234-943X |
| DOI: | 10.3389/fonc.2021.662013 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.3389/fonc.2021.662013 Verlag, lizenzpflichtig, Volltext: https://www.frontiersin.org/article/10.3389/fonc.2021.662013 
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| Verfasserangaben: | Anael Barberan-Garcia, Isaac Cano, Bart C. Bongers, Steffen Seyfried, Thomas Ganslandt, Florian Herrle and Graciela Martínez-Pallí |
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| 520 | |a Prehabilitation has shown its potential for most intra-cavity surgery patients on enhancing preoperative functional capacity and postoperative outcomes. However, its large-scale implementation is limited by several constrictions, such as: i) unsolved practicalities of the service workflow, ii) challenges associated to change management in collaborative care; iii) insufficient access to prehabilitation; iv) relevant percentage of program drop-outs; v) need for program personalization; and, vi) economical sustainability. Transferability of prehabilitation programs from the hospital setting to the community would potentially provide a new scenario with greater accessibility, as well as offer an opportunity to effectively address the aforementioned issues and, thus, optimize healthcare value generation. A core aspect to take into account for an optimal management of prehabilitation programs is to use proper technological tools enabling: i) customizable and interoperable integrated care pathways facilitating personalization of the service and effective engagement among stakeholders; ii) remote monitoring (i.e. physical activity, physiological signs and patient-reported outcomes and experience measures) to support patient adherence to the program and empowerment for self-management; and, iii) use of health risk assessment supporting decision making for personalized service selection. The current manuscript details a proposal to bring digital innovation to community-based prehabilitation programs. Moreover, this approach has the potential to be adopted by programs supporting long-term management of cancer patients, chronic patients and prevention of multimorbidity in subjects at risk. | ||
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