1. ZHAW digitalcollection
  2. Rektorat und Ressorts
  3. Publikationen
  4. Publikationen Rektorat und Ressorts
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPavic, Matea-
dc.contributor.authorKlaas, Vanessa Christina-
dc.contributor.authorTheile, Gudrun-
dc.contributor.authorKraft, Johannes-
dc.contributor.authorTröster, Gerhard-
dc.contributor.authorBlum, David-
dc.contributor.authorGuckenberger, Matthias-
dc.date.accessioned2020-10-14T11:19:15Z-
dc.date.available2020-10-14T11:19:15Z-
dc.date.issued2019-12-23-
dc.identifier.issn1096-6218de_CH
dc.identifier.issn1557-7740de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/20586-
dc.description.abstractBackground: Unplanned readmissions or emergency visits (EVs) after discharge from hospital are frequent in patients in palliative care. Strategies to anticipate and prevent rapid deterioration of health are needed. Objective: Assessing feasibility and predictive ability of remote monitoring using wearables. Design: Prospective observational feasibility study in a single center. Setting/Subjects: Thirty cancer patients with an estimated life expectancy of >8 weeks to <12 months, aged >18 years and being discharged from inpatient to outpatient care were included. Measurements: Patients were provided with a smartphone, including the preinstalled "Activity Monitoring" application and a sensor-equipped bracelet. Follow-up was 12 weeks. Both devices recorded several features (e.g., vital signs). Visual analog scale (VAS) for pain and distress was reported once daily and European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) once weekly. Statistical methods were applied to explore relationship between sensor data, self-reports, and EVs or readmissions or death. Results: Between February 2017 and May 2018, 30 patients were included. Twenty-five of 30 participants (83%) completed 12 weeks of follow-up. On average, bracelet was worn on 53% and smartphone on 85% of study days. Completion rate of daily digital questionnaires for subjective ratings was 73%. Eight unplanned hospital readmissions occurred. Ratings of pain, distress, and QLQ-C30 scores were not associated with readmission, whereas resting heart rate, resting heart rate variability, as well as speed of steps differed significantly in patients with and without readmission. Conclusions: Monitoring of palliative cancer patients using wearables is feasible. First results indicate that mobile health features might be promising biomarkers to predict unplanned readmissions.de_CH
dc.language.isoende_CH
dc.publisherMary Ann Liebertde_CH
dc.relation.ispartofJournal of Palliative Medicinede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectMobile healthde_CH
dc.subjectOncologyde_CH
dc.subjectOutcome predictionde_CH
dc.subjectPalliative medicinede_CH
dc.subjectWearablesde_CH
dc.subject.ddc610.73: Pflegede_CH
dc.subject.ddc616: Innere Medizin und Krankheitende_CH
dc.titleMobile health technologies for continuous monitoring of cancer patients in palliative care aiming to predict health status deterioration : a feasibility studyde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementRektorat und Ressortsde_CH
zhaw.organisationalunitRessort Forschung & Entwicklungde_CH
dc.identifier.doi10.1089/jpm.2019.0342de_CH
dc.identifier.pmid31873052de_CH
zhaw.funding.euNode_CH
zhaw.issue5de_CH
zhaw.originated.zhawNode_CH
zhaw.pages.end685de_CH
zhaw.pages.start678de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume23de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen Rektorat und Ressorts

Files in This Item:
There are no files associated with this item.
Show simple item record
Pavic, M., Klaas, V. C., Theile, G., Kraft, J., Tröster, G., Blum, D., & Guckenberger, M. (2019). Mobile health technologies for continuous monitoring of cancer patients in palliative care aiming to predict health status deterioration : a feasibility study. Journal of Palliative Medicine, 23(5), 678–685. https://doi.org/10.1089/jpm.2019.0342
Pavic, M. et al. (2019) ‘Mobile health technologies for continuous monitoring of cancer patients in palliative care aiming to predict health status deterioration : a feasibility study’, Journal of Palliative Medicine, 23(5), pp. 678–685. Available at: https://doi.org/10.1089/jpm.2019.0342.
M. Pavic et al., “Mobile health technologies for continuous monitoring of cancer patients in palliative care aiming to predict health status deterioration : a feasibility study,” Journal of Palliative Medicine, vol. 23, no. 5, pp. 678–685, Dec. 2019, doi: 10.1089/jpm.2019.0342.
PAVIC, Matea, Vanessa Christina KLAAS, Gudrun THEILE, Johannes KRAFT, Gerhard TRÖSTER, David BLUM und Matthias GUCKENBERGER, 2019. Mobile health technologies for continuous monitoring of cancer patients in palliative care aiming to predict health status deterioration : a feasibility study. Journal of Palliative Medicine. 23 Dezember 2019. Bd. 23, Nr. 5, S. 678–685. DOI 10.1089/jpm.2019.0342
Pavic, Matea, Vanessa Christina Klaas, Gudrun Theile, Johannes Kraft, Gerhard Tröster, David Blum, and Matthias Guckenberger. 2019. “Mobile Health Technologies for Continuous Monitoring of Cancer Patients in Palliative Care Aiming to Predict Health Status Deterioration : A Feasibility Study.” Journal of Palliative Medicine 23 (5): 678–85. https://doi.org/10.1089/jpm.2019.0342.
Pavic, Matea, et al. “Mobile Health Technologies for Continuous Monitoring of Cancer Patients in Palliative Care Aiming to Predict Health Status Deterioration : A Feasibility Study.” Journal of Palliative Medicine, vol. 23, no. 5, Dec. 2019, pp. 678–85, https://doi.org/10.1089/jpm.2019.0342.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.