Hostname: page-component-848d4c4894-2pzkn Total loading time: 0 Render date: 2024-06-08T14:53:24.981Z Has data issue: false hasContentIssue false

Patients’ perspective on the use of mobile applications for the provision of supportive care in radiotherapy

Published online by Cambridge University Press:  15 November 2023

Maria Stella Sammut
Affiliation:
Department of Radiography, Faculty of Health Sciences, University of Malta, Msida, Malta
Susan Mercieca*
Affiliation:
Department of Radiography, Faculty of Health Sciences, University of Malta, Msida, Malta
*
Corresponding author: Susan Mercieca; Email: susan.mercieca@um.edu.mt

Abstract

Introduction:

This study aimed to investigate the patient’s perception of the usefulness and limitations of a mobile application as part of the supportive care provided to patients undergoing radiotherapy.

Methods:

Patients undergoing radiotherapy between February 2023 and March 2023 at a local oncology hospital (n = 150) were invited to complete a questionnaire that assessed the patient’s smartphone knowledge, willingness to use an app during radiotherapy, perceptions of the usefulness of specific app features, and barriers to using such applications. For quantitative analysis, frequencies were obtained for all areas of interest, and the results were correlated with the patient’s demographics.

Results:

Of the 39 participants who completed the questionnaire, 82·1% had a smartphone device, 59% could use their smartphones with minimal to no help and 41% had not used their smartphones for medical purposes before. However, 79·5% of patients showed a strong interest in using a mobile app during radiotherapy. Age, gender and level of education had no significant impact on the acceptability of using the mobile application for radiotherapy purposes.

Conclusion:

Overall, the findings indicate that most patients have access to mobile technology and are willing to use the mobile app as an additional supportive care tool.

Type
Original Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Berman, R, Laird, BJA, Minton, O, Monnery, D, Ahamed, A, Boland, E, et al. The rise of supportive oncology: a revolution in cancer care. Clin Oncol 2023; 35: 213215. https://doi.org/10.1016/j.clon.2023.01.015.CrossRefGoogle ScholarPubMed
Paterson, C, Jensen, BT, Jensen, JB, Nabi, G. Unmet informational and supportive care needs of patients with muscle invasive bladder cancer: a systematic review of the evidence. Eur J Oncol Nurs 2018; 35: 92101. https://doi.org/10.1016/J.EJON.2018.05.006.CrossRefGoogle ScholarPubMed
Hart, NH, Crawford-Williams, F, Crichton, M, Yee, J, Smith, TJ, Koczwara, B, et al. Unmet supportive care needs of people with advanced cancer and their caregivers: a systematic scoping review. Crit Rev Oncol Hematol 2022; 176: 103728. https://doi.org/10.1016/J.CRITREVONC.2022.103728.CrossRefGoogle ScholarPubMed
Aljedaani, B, Babar, MA. Challenges with developing secure mobile health applications: systematic review. JMIR Mhealth Uhealth 2021; 9 (6): E15654. https://doi.org/10.2196/15654.CrossRefGoogle ScholarPubMed
Piras, A, Venuti, V, D’aviero, A, Cusumano, D, Pergolizzi, S, Daidone, A, et al. Covid-19 and radiotherapy: a systematic review after 2 years of pandemic. Clin Transl Imaging 2022; 10: 611630. https://doi.org/10.1007/s40336-022-00513-9.CrossRefGoogle ScholarPubMed
Varian. Care management 2023. https://www.varian.com/products/software/care-management (accessed August 10, 2023).Google Scholar
Elekta. Elekta Kaiku Pioneering the personalization of cancer care 2023. https://www.elekta.com/products/life-sciences/elekta-kaiku/ (accessed August 10, 2023).Google Scholar
Janssen, S, Shafie, R A El, Ruder, AM, Buergy, D, Scafa, D, et al. Mobile applications in radiation oncology-current choices and future potentials. Strahlenther Onko 2023; 199: 337349. https://doi.org/10.1007/s00066-023-02048-y.CrossRefGoogle ScholarPubMed
Holch, P, Absolom, KL, Henry, AM, Walker, K, Gibson, A, Hudson, E, et al. Online symptom monitoring during pelvic radiation therapy: randomized pilot trial of the eRAPID intervention. Int J Radiat Oncol Biol Phys 2023; 115: 664676. https://doi.org/10.1016/j.ijrobp.2022.09.078.CrossRefGoogle ScholarPubMed
Sundberg, K, Wengström, Y, Blomberg, K, Hälleberg-Nyman, M, Frank, C, Langius-Eklöf, A. Early detection and management of symptoms using an interactive smartphone application (Interaktor) during radiotherapy for prostate cancer. Support Care Cancer 2017; 25: 21952204. https://doi.org/10.1007/S00520-017-3625-8.CrossRefGoogle ScholarPubMed
El Shafie, RA, Weber, D, Bougatf, N, Sprave, T, Oetzel, D, Huber, PE, et al. Supportive care in radiotherapy based on a mobile app: prospective multicenter survey. JMIR Mhealth Uhealth 2018; 6: e10916. https://doi.org/10.2196/10916.CrossRefGoogle ScholarPubMed
Hauth, F, Bizu, V, App, R, Lautenbacher, H, Tenev, A, Bitzer, M, et al. Electronic patient-reported outcome measures in radiation oncology: initial experience after workflow implementation. JMIR MHealth UHealth 2019; 7. https://doi.org/10.2196/12345.CrossRefGoogle ScholarPubMed
Frutos, E, Descalzo, J, Colussi, G, Rapisarda, R, Plazzotta, F, Luna, D. Exploring the digital divide as a barrier to use of a personal health record in the elderly. Stud Health Technol Inform 2022; 294: 545549. https://doi.org/10.3233/SHTI220518.Google ScholarPubMed
Lau, EY, Mitchell, MS, Faulkner, G. Long-term usage of a commercial mHealth app: a “multiple-lives” perspective. Front Public Health 2022; 10: 914433. https://doi.org/10.3389/FPUBH.2022.914433/BIBTEX.CrossRefGoogle Scholar
Zamanzadeh, V, Ghahramanian, A, Rassouli, M, Abbaszadeh, A, Alavi-Majd, H, Nikanfar, A-R. Design and implementation content validity study: development of an instrument for measuring patient-centered communication. J Caring Sci 2015; 4: 165178. https://doi.org/10.15171/jcs.2015.017.CrossRefGoogle ScholarPubMed
Beneito-Montagut, R, Rosales, A, Fernández-Ardèvol, M. Emerging digital inequalities: a comparative study of older adults’ smartphone use. Soc Media + Soc 2022; 8. https://doi.org/10.1177/20563051221138756.CrossRefGoogle Scholar
Vulpe, S, Crăciun, A. Silver surfers from a European perspective: technology communication usage among European seniors. Eur J Ageing 2020; 17: 125134. https://doi.org/10.1007/S10433-019-00520-2/METRICS.CrossRefGoogle ScholarPubMed
Vo, V, Auroy, L, Sarradon-Eck, A. Patients’ perceptions of mHealth apps: meta-ethnographic review of qualitative studies. JMIR Mhealth Uhealth 2019; 7 (7): E13817. https://doi.org/10.2196/13817.CrossRefGoogle ScholarPubMed
Ownby, RL, Acevedo, A, Waldrop-Valverde, D, Woodruff, NH. Enhancing the impact of mobile health literacy interventions to reduce health disparities. Q Rev Distance Educ 2019; 20: 34.Google ScholarPubMed
Gebert, P, Schindel, D, Frick, J, Schenk, L, Grittner, U. Characteristics and patient-reported outcomes associated with dropout in severely affected oncological patients: an exploratory study. BMC Med Res Methodol 2021; 21: 111. https://doi.org/10.1186/S12874-021-01259-0/FIGURES/4.CrossRefGoogle ScholarPubMed
Amagai, S, Pila, S, Kaat, AJ, Nowinski, CJ, Gershon, RC. Challenges in participant engagement and retention using mobile health apps: literature review. J Med Internet Res 2022; 24. https://doi.org/10.2196/35120.CrossRefGoogle ScholarPubMed
Supplementary material: File

Sammut and Mercieca supplementary material

Sammut and Mercieca supplementary material

Download Sammut and Mercieca supplementary material(File)
File 410.4 KB