Log in

Real-time symptom management in the context of a remote symptom-monitoring system: prospective process evaluation and cross-sectional survey to explore clinical relevance

  • Original Article
  • Published:
Supportive Care in Cancer Aims and scope Submit manuscript

A Correction to this article was published on 16 February 2021

This article has been updated

Abstract

Purpose

Electronic systems for remotely monitoring symptoms during systemic anticancer treatment are increasingly being used. Some of these systems have features triggering alerts to healthcare professionals for worsening and/or severe symptoms, enabling real-time symptom management. This study aimed at exploring the characteristics and process of real-time alert management as well as its clinical relevance as perceived by healthcare professionals.

Methods

From January until September 2019, a prospective process evaluation was set up to collect data on all alerts and their management. Also, an online survey presenting a selected number of cases was set up to explore oncologists’ and oncology nurses’ perceived clinical relevance of the real-time management of the alerts.

Results

The overall incidence rate of alerts was 1.4%. Of 253 alerts, pain, fever, dyspnea, and nausea were the most prevalent symptoms triggering an alert. The majority of alerts was managed by a nursing telephone consult alone. In 25.3% of cases, clinical examination was deemed necessary to manage the alert. In 148 of the ratings, oncologists and oncology nurses (totally) agreed with the clinical relevance of the real-time management (95.1%). The mean relevance score attached to the cases was 4.51 (±0.80).

Conclusions

The majority of alerts triggered by a mobile tool for remote symptom monitoring during cancer treatment can be managed by a telephone nursing consult and real-time management is evaluated as (very) relevant by the majority of clinicians.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Canada)

Instant access to the full article PDF.

Similar content being viewed by others

Change history

References

  1. Basch E, Deal AM, Dueck AC, Scher HI, Kris MG, Hudis C, Schrag D (2017) Overall Survival Results of a Trial Assessing Patient-Reported Outcomes for Symptom Monitoring During Routine Cancer Treatment. JAMA 318:197–198

    Article  Google Scholar 

  2. Basch E, Deal AM, Kris MG, Scher HI, Hudis CA, Sabbatini P, Rogak L, Bennett AV, Dueck AC, Atkinson TM, Chou JF, Dulko D, Sit L, Barz A, Novotny P, Fruscione M, Sloan JA, Schrag D (2016) Symptom Monitoring With Patient-Reported Outcomes During Routine Cancer Treatment: A Randomized Controlled Trial. J Clin Oncol 34:557–565

    Article  CAS  Google Scholar 

  3. Kotronoulas G, Kearney N, Maguire R, Harrow A, di Domenico D, Croy S, MacGillivray S (2014) What is the value of the routine use of patient-reported outcome measures toward improvement of patient outcomes, processes of care, and health service outcomes in cancer care? A systematic review of controlled trials. J Clin Oncol 32:1480–1501

    Article  Google Scholar 

  4. Velikova G, Booth L, Smith AB, Brown PM, Lynch P, Brown JM, Selby PJ (2004) Measuring quality of life in routine oncology practice improves communication and patient well-being: a randomized controlled trial. J Clin Oncol 22:714–724

    Article  Google Scholar 

  5. Warrington L, Absolom K, Conner M, Kellar I, Clayton B, Ayres M, Velikova G (2019) Electronic Systems for Patients to Report and Manage Side Effects of Cancer Treatment: Systematic Review. J Med Internet Res 21:e10875

    Article  Google Scholar 

  6. Maguire R, McCann L, Miller M, Kearney N (2008) Nurse’s perceptions and experiences of using of a mobile-phone-based Advanced Symptom Management System (ASyMS) to monitor and manage chemotherapy-related toxicity. Eur J Oncol Nurs 12:380–386

    Article  CAS  Google Scholar 

  7. McCann L, Maguire R, Miller M et al (2009) Patients’ perceptions and experiences of using a mobile phone-based advanced symptom management system (ASyMS) to monitor and manage chemotherapy related toxicity. Eur J Cancer Care (Engl) 18:156–164

    Article  CAS  Google Scholar 

  8. Kessel KA, Vogel MME, Schmidt-Graf F, Combs SE (2016) Mobile Apps in Oncology: A Survey on Health Care Professionals’ Attitude Toward Telemedicine, mHealth, and Oncological Apps. J Med Internet Res 18:e312

    Article  Google Scholar 

  9. Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, Moore L, O'Cathain A, Tinati T, Wight D, Baird J (2015) Process evaluation of complex interventions: Medical Research Council guidance. BMJ 350:h1258

    Article  Google Scholar 

  10. Richards D, Hallberg I (2015) Complex interventions in health: An overview of research methods. 1st edition. Routledge: London, 408

  11. Furlong E, Darley A, Fox P, Buick A, Kotronoulas G, Miller M, Flowerday A, Miaskowski C, Patiraki E, Katsaragakis S, Ream E, Armes J, Gaiger A, Berg G, McCrone P, Donnan P, McCann L, Maguire R (2019) Adaptation and Implementation of a Mobile Phone-Based Remote Symptom Monitoring System for People With Cancer in Europe. JMIR Cancer 5:e10813

    Article  Google Scholar 

  12. Coolbrandt A, Steffens E, Wildiers H, Bruyninckx E, Verslype C, Milisen K (2017) Use of a symptom diary during chemotherapy: A mixed-methods evaluation of the patient perspective. Eur J Oncol Nurs 31:37–45

    Article  Google Scholar 

  13. Rubeis G, Schochow M, Steger F (2018) Patient Autonomy and Quality of Care in Telehealthcare. Sci Eng Ethics 24:93–107

    Article  Google Scholar 

  14. Schmietow B, Marckmann G (2019) Mobile health ethics and the expanding role of autonomy. Med Health Care Philos 22:623–630

    Article  Google Scholar 

  15. Coolbrandt A, Muylaert K, Vandeneede E, Dooms C, Wildiers H (2020) Clinical management and relevance of an alert feature for real-time symptom management in a mobile tool for self-monitoring and self-management of symptoms during anticancer treatment [dataset]. Zenodo. https://doi.org/10.5281/zenodo.4049417

Download references

Funding

The study was funded by the Estée Lauder University Fund.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization: Coolbrandt Annemarie

Methodology: Coolbrandt Annemarie, Muylaert Kristof, Vandeneede Evi, Dooms Christophe, Wildiers Hans

Formal analysis and investigation: Coolbrandt Annemarie

Writing—original draft preparation: Coolbrandt Annemarie

Writing—review and editing: Coolbrandt Annemarie, Muylaert Kristof, Vandeneede Evi, Dooms Christophe, Wildiers Hans

Funding acquisition: Coolbrandt Annemarie, Wildiers Hans

Resources: Coolbrandt Annemarie, Wildiers Hans

Supervision: Coolbrandt Annemarie, Wildiers Hans

Corresponding author

Correspondence to Annemarie Coolbrandt.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Ethics approval

The study was approved by the Ethics Committee of UZ/KULeuven.

Consent to participate

Not applicable. Healthcare professionals participating in the survey indicated their consent to participate as part of the online survey.

Consent for publication

Not applicable. Healthcare professionals participating in the survey indicated their consent for publication as part of the online survey.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The original version of this article was revised. All author names are inverted and is now corrected.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Coolbrandt, A., Muylaert, K., Vandeneede, E. et al. Real-time symptom management in the context of a remote symptom-monitoring system: prospective process evaluation and cross-sectional survey to explore clinical relevance. Support Care Cancer 29, 3401–3408 (2021). https://doi.org/10.1007/s00520-021-06029-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00520-021-06029-8

Keywords

Navigation