mHealth for Medication and Side Effect Monitoring: Patients’ Attitudes Toward Smart Devices for Managing Oral Chemotherapy During Lung Cancer Treatment

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Pervasive Computing Technologies for Healthcare (PH 2022)

Abstract

In recent years, new treatments have become available which have improved survival rates in lung cancer patients. One promising treatment option is the rapidly growing field of oral targeted therapies, which employs drugs that interfere with specific molecules involved in the growth, progression, and spread of cancer. However, these therapies can cause a variety of symptoms and adverse events that can impair quality of life. mHealth technologies may help individuals with lung cancer better track their side effects and manage medications on a day-to-day basis. However, understanding patients’ attitudes toward smart devices such as smartphones, smartwatches, and smart pill bottles, as well as their specific needs when using these devices, is critical before design and deployment studies of medication adherence can be carried out. In this study, we conducted interviews with 9 individuals with stage III-IV lung cancer at a National Cancer Institute-designated comprehensive cancer center in the Mid-Atlantic region of the United States to assess the feasibility of using such devices for managing medication and medication related side-effects. We evaluated patients’ attitudes towards the design and function of smart devices and how these devices fit into their daily life. Our results may help clinicians and researchers to co-develop effective mHealth system deployments for side effect and medication management in oncology populations.

C. Dapaah and D. Johnson—Authors contributed equally.

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Notes

  1. 1.

    WebEx; https://www.webex.com/.

  2. 2.

    Appetize.IO; https://appetize.io/.

  3. 3.

    RxCap; https://rxcap.com/.

  4. 4.

    MyChart; https://www.mychart.com/.

References

  1. Billingy, N.E., et al.: SYMptom monitoring with Patient-Reported Outcomes using a web application among patients with Lung cancer in the Netherlands (SYMPRO-Lung): study protocol for a stepped-wedge randomised controlled trial. BMJ Open 11, e052494 (2021). https://doi.org/10.1136/bmjopen-2021-052494

    Article  Google Scholar 

  2. Burney, K.D., Krishnan, K., Ruffin, M.T., Zhang, D., Brenner, D.E.: Adherence to single daily dose of aspirin in a chemoprevention trial: an evaluation of self-report and microelectronic monitoring. Arch. Fam. Med. 5, 297 (1996)

    Article  Google Scholar 

  3. Caldeira, C., Bhowmick, P., Komarlingam, P., Siek, K.A.: A state-based medication routine framework. In: CHI Conference on Human Factors in Computing Systems, pp. 1–16. ACM, New Orleans LA USA (2022). https://doi.org/10.1145/3491102.3517519

  4. Califano, R., et al.: Expert consensus on the management of adverse events from EGFR tyrosine kinase inhibitors in the UK. Drugs 75(12), 1335–1348 (2015). https://doi.org/10.1007/s40265-015-0434-6

    Article  Google Scholar 

  5. Ciani, O., et al.: Lung Cancer App (LuCApp) study protocol: a randomised controlled trial to evaluate a mobile supportive care app for patients with metastatic lung cancer. BMJ Open 9, e025483 (2019). https://doi.org/10.1136/bmjopen-2018-025483

    Article  Google Scholar 

  6. Geynisman, D.M., Wickersham, K.E.: Adherence to targeted oral anticancer medications. Discov. Med. 15, 231–241 (2013)

    Google Scholar 

  7. Harper, S., Lynch, J., Meersman, S.C., Breen, N., Davis, W.W., Reichman, M.E.: An overview of methods for monitoring social disparities in cancer with an example using trends in lung cancer incidence by area-socioeconomic position and race-ethnicity, 1992–2004. Am. J. Epidemiol. 167, 889–899 (2008). https://doi.org/10.1093/aje/kwn016

    Article  Google Scholar 

  8. Health Information Technology for Economic and Clinical Health (HITECH) Act, Title XIII of Division A and Title IV of Division B of the American Recovery and Reinvestment Act of 2009 (ARRA), Pub. L. No. 111–5, 123 Stat. 226 (Feb. 17, 2009). (full-text), codified at 42 U.S.C. §§300jj et seq.; §§17901 et seq

    Google Scholar 

  9. Health Insurance Portability and Accountability Act. Pub. L. No. 104–191, § 264, 110 Stat.1936

    Google Scholar 

  10. Health Level 7 Standards. Health Level 7 International (2022). http://www.hl7.org/

  11. Jacobs, M.L., Clawson, J., Mynatt, E.D.: My journey compass: a preliminary investigation of a mobile tool for cancer patients. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 663–672. Association for Computing Machinery, New York, NY, USA (2014). https://doi.org/10.1145/2556288.2557194

  12. Kessel, K.A., et al.: Mobile health in oncology: a patient survey about app-assisted cancer care. JMIR mHealth uHealth. 5, e81 (2017). https://doi.org/10.2196/mhealth.7689

    Article  Google Scholar 

  13. Low, C.A.: Harnessing consumer smartphone and wearable sensors for clinical cancer research. NPJ Digit. Med. 3, 1–7 (2020). https://doi.org/10.1038/s41746-020-00351-x

  14. Lung cancer statistics: How common is lung cancer? American Cancer Society (2022). https://www.cancer.org/cancer/lung-cancer/about/key-statistics.html

  15. Mauro, J., Mathews, K.B., Sredzinski, E.S.: Effect of a smart pill bottle and pharmacist intervention on medication adherence in patients with multiple myeloma new to Lenalidomide therapy. JMCP 25, 1244–1254 (2019). https://doi.org/10.18553/jmcp.2019.25.11.1244

  16. McGregor, B.A., Vidal, G.A., Shah, S.A., Mitchell, J.D., Hendifar, A.E.: Remote oncology care: review of current technology and future directions. Cureus. 12, e10156 (2020). https://doi.org/10.7759/cureus.10156

    Article  Google Scholar 

  17. Ni, X., et al.: Development of mobile health–based self-management support for patients with lung cancer: a stepwise approach. Nurs. Open 9, 1612–1624 (2022). https://doi.org/10.1002/nop2.1185

    Article  Google Scholar 

  18. Panayi, N.D., Mars, M.M., Burd, R.: The promise of digital (mobile) health in cancer prevention and treatment. Future Oncol. 9, 613–617 (2013). https://doi.org/10.2217/fon.13.42

    Article  Google Scholar 

  19. Pater, J., Owens, S., Farmer, S., Mynatt, E., Fain, B.: Addressing medication adherence technology needs in an aging population. In: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, pp. 58–67. ACM, Barcelona Spain (2017). https://doi.org/10.1145/3154862.3154872

  20. Pereira-Salgado, A., et al.: Mobile health intervention to increase oral cancer therapy adherence in patients with chronic myeloid leukemia (the REMIND system): clinical feasibility and acceptability assessment. JMIR mMhealth uUhealth 5, e184 (2017). https://doi.org/10.2196/mhealth.8349

    Article  Google Scholar 

  21. Schmalz, O., et al.: Digital monitoring and management of patients with advanced or metastatic non-small cell lung cancer treated with cancer immunotherapy and its impact on quality of clinical care: interview and survey study among health care professionals and patients. J. Med. Internet Res. 22, e18655 (2020). https://doi.org/10.2196/18655

    Article  Google Scholar 

  22. Shiffman, S., Stone, A.A., Hufford, M.R.: Ecological momentary assessment. Annu. Rev. Clin. Psychol. 4, 1–32 (2008). https://doi.org/10.1146/annurev.clinpsy.3.022806.091415

    Article  Google Scholar 

  23. Skrabal Ross, X., Gunn, K.M., Patterson, P., Olver, I.: Development of a smartphone program to support adherence to oral chemotherapy in people with cancer. Patient Prefer. Adherence. 13, 2207–2215 (2019). https://doi.org/10.2147/PPA.S225175

    Article  Google Scholar 

  24. Theodos, K., Sittig, S.: Health information privacy laws in the digital age: HIPAA doesn’t apply. Perspect. Health Inf. Manag. 18, 1l (2021)

    Google Scholar 

  25. Toscos, T., et al.: Medication adherence for atrial fibrillation patients: triangulating measures from a smart pill bottle, e-prescribing software, and patient communication through the electronic health record. JAMIA Open 3, 233–242 (2020). https://doi.org/10.1093/jamiaopen/ooaa007

    Article  Google Scholar 

  26. Wood, L.: A review on adherence management in patients on oral cancer therapies. Eur. J. Oncol. Nurs. 16, 432–438 (2012). https://doi.org/10.1016/j.ejon.2011.10.002

    Article  Google Scholar 

  27. **ong, H., Huang, Y., Barnes, L.E., Gerber, M.S.: Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp 2016, pp. 415–426. ACM Press, Heidelberg, Germany (2016).https://doi.org/10.1145/2971648.2971711

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Acknowledgements

This research was supported by the following sources: the National Cancer Institute Cancer Center Support Grant 2P30CA044579–31 (to A. N. Baglione, R. Hall, and R. Gentzler); the National Cancer Institute, under award number R01CA239246 (to Dr. L. E. Barnes, Dr. J. Gong, and Dr. K. J. Wells); and the Lung Cancer Research Foundation (LCRF), supported by Pfizer (to Dr. R. Gentzler). The content in this paper is solely the responsibility of the authors and does not necessarily represent the official views of the aforementioned sources.

We thank Cristian Garcia Alcaraz and Manuel Gonzales for contributing to the development of the interview questions and demographic surveys. We also thank **shi (Ethan) Zhu and Xue (Shirley) Wu for their work on the smartwatch mobile app, and Dr. Jackey Gong for his supervision of the app’s development.

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Correspondence to Anna N. Baglione .

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Baglione, A.N. et al. (2023). mHealth for Medication and Side Effect Monitoring: Patients’ Attitudes Toward Smart Devices for Managing Oral Chemotherapy During Lung Cancer Treatment. In: Tsanas, A., Triantafyllidis, A. (eds) Pervasive Computing Technologies for Healthcare. PH 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 488. Springer, Cham. https://doi.org/10.1007/978-3-031-34586-9_38

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  • DOI: https://doi.org/10.1007/978-3-031-34586-9_38

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