Literature DB >> 31740981

Prospective trial on telemonitoring of geriatric cancer patients using handheld devices.

Daniel Buergy1,2, Victor Siefert1, Christian Neumaier1, Thomas Ganslandt2, Elena Sperk1, Manuel Blessing3,4,5, Jürgen Hesser3,4,5, Grit Welzel1, Frederik Wenz1,6, Frank Anton Giordano7.   

Abstract

PURPOSE AND
OBJECTIVE: Randomized trials indicate that electronic or app-based assessment of patient-reported outcomes may improve outcomes in cancer patients. To analyze if an app-based follow-up would be accepted by elderly cancer patients, we conducted a single-center prospective feasibility study (NCT03196050).
MATERIALS AND METHODS: Cancer patients (≥60 years) without concurrent uncontrolled severe medical conditions and a Karnofsky performance status (KPS) ≥70 were eligible if they were able to use the smartphone app. The primary endpoint was compliance over 1 year, calculated as patient-specific and study date-specific response rate to questions sent as push notifications; in this interim analysis, we report on 4‑month data. Secondary outcomes included a comparison of a subjective health status item (SPHS) with the physician-rated KPS.
RESULTS: Out of 225 patients screened, 54 patients agreed to participate and 29 activated the app and participated in the study. The mean age was 66 years (61-78). The individual compliance rate averaged at 58.3% (standard deviation SD = 35%). Daily compliance was 53.3% on average (SD = 10.8%) and declined over time. The average percentage of patients who sent answers at least weekly was 75.0% (SD = 14.8%) and declined from 100% in week 1 to 53.8% in week 17 post-enrollment. Secondary outcomes indicated that questionnaires such as the EORTC-QLQ-C30 are accepted via app and that there is a significant moderate correlation between the SPHS and KPS scores (r = 0.566; p < 0.001).
CONCLUSION: Our data indicate that an app-based follow-up incorporating EORTC questionnaires might be possible in highly selected elderly cancer patients with modest compliance rates. Further trials should aim at an increased participation rate.

Entities:  

Keywords:  App-based follow-up; App-based reporting; Electronic health assessment; Mobile health; Patient-reported outcomes

Mesh:

Year:  2019        PMID: 31740981     DOI: 10.1007/s00066-019-01548-0

Source DB:  PubMed          Journal:  Strahlenther Onkol        ISSN: 0179-7158            Impact factor:   3.621


  15 in total

1.  Cancer statistics, 2019.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2019-01-08       Impact factor: 508.702

2.  Factors predicting intolerance to definitive conventional radiotherapy in geriatric patients.

Authors:  Chai Hong Rim; Won Sup Yoon; Jung Ae Lee; Dae Sik Yang; Nam Kwon Lee; Young Je Park; Chul Yong Kim
Journal:  Strahlenther Onkol       Date:  2018-05-24       Impact factor: 3.621

3.  Randomized Trial Comparing a Web-Mediated Follow-up With Routine Surveillance in Lung Cancer Patients.

Authors:  Fabrice Denis; Claire Lethrosne; Nicolas Pourel; Olivier Molinier; Yoann Pointreau; Julien Domont; Hugues Bourgeois; Hélène Senellart; Pierre Trémolières; Thibaut Lizée; Jaafar Bennouna; Thierry Urban; Claude El Khouri; Alexandre Charron; Anne-Lise Septans; Magali Balavoine; Sébastien Landry; Philippe Solal-Céligny; Christophe Letellier
Journal:  J Natl Cancer Inst       Date:  2017-09-01       Impact factor: 13.506

4.  An evaluation of patient ownership and use and acceptability of smartphone technology within the emergency department.

Authors:  Alasdair M Summers; Matthew J Reed
Journal:  Eur J Emerg Med       Date:  2018-06       Impact factor: 2.799

5.  Symptom Monitoring With Patient-Reported Outcomes During Routine Cancer Treatment: A Randomized Controlled Trial.

Authors:  Ethan Basch; Allison M Deal; Mark G Kris; Howard I Scher; Clifford A Hudis; Paul Sabbatini; Lauren Rogak; Antonia V Bennett; Amylou C Dueck; Thomas M Atkinson; Joanne F Chou; Dorothy Dulko; Laura Sit; Allison Barz; Paul Novotny; Michael Fruscione; Jeff A Sloan; Deborah Schrag
Journal:  J Clin Oncol       Date:  2015-12-07       Impact factor: 44.544

Review 6.  The role of mobile technologies in health care processes: the case of cancer supportive care.

Authors:  Greta Nasi; Maria Cucciniello; Claudia Guerrazzi
Journal:  J Med Internet Res       Date:  2015-02-12       Impact factor: 5.428

7.  Mobile Health in Oncology: A Patient Survey About App-Assisted Cancer Care.

Authors:  Kerstin Anne Kessel; Marco Me Vogel; Carmen Kessel; Henning Bier; Tilo Biedermann; Helmut Friess; Peter Herschbach; Rüdiger von Eisenhart-Rothe; Bernhard Meyer; Marion Kiechle; Ulrich Keller; Christian Peschel; Roland M Schmid; Stephanie E Combs
Journal:  JMIR Mhealth Uhealth       Date:  2017-06-14       Impact factor: 4.773

8.  Feasibility of radiotherapy in nonagenarian patients: a retrospective study.

Authors:  L Kocik; H Geinitz; C Track; M Geier; C Nieder
Journal:  Strahlenther Onkol       Date:  2018-08-30       Impact factor: 3.621

Review 9.  Designing, Implementing, and Evaluating Mobile Health Technologies for Managing Chronic Conditions in Older Adults: A Scoping Review.

Authors:  Nancy Matthew-Maich; Lauren Harris; Jenny Ploeg; Maureen Markle-Reid; Ruta Valaitis; Sarah Ibrahim; Amiram Gafni; Sandra Isaacs
Journal:  JMIR Mhealth Uhealth       Date:  2016-06-09       Impact factor: 4.773

10.  Supportive Care in Radiotherapy Based on a Mobile App: Prospective Multicenter Survey.

Authors:  Rami A El Shafie; Dorothea Weber; Nina Bougatf; Tanja Sprave; Dieter Oetzel; Peter E Huber; Jürgen Debus; Nils H Nicolay
Journal:  JMIR Mhealth Uhealth       Date:  2018-08-30       Impact factor: 4.773

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  1 in total

1.  A narrative review of current evidence supporting the implementation of electronic patient-reported outcome measures in the management of chronic diseases.

Authors:  Olalekan Lee Aiyegbusi; Devika Nair; John Devin Peipert; Kara Schick-Makaroff; Istvan Mucsi
Journal:  Ther Adv Chronic Dis       Date:  2021-05-24       Impact factor: 5.091

  1 in total

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