Lung Cancer App (LuCApp) study protocol: a randomised controlled trial to evaluate a mobile supportive care app for patients with metastatic lung cancer

Oriana Ciani, Maria Cucciniello, Francesco Petracca, Giovanni Apolone, Giampaolo Merlini, Silvia Novello, Paolo Pedrazzoli, Nicoletta Zilembo, Chiara Broglia, Enrica Capelletto, Marina Garassino, Elena Nicod, Rosanna Tarricone, Oriana Ciani, Maria Cucciniello, Francesco Petracca, Giovanni Apolone, Giampaolo Merlini, Silvia Novello, Paolo Pedrazzoli, Nicoletta Zilembo, Chiara Broglia, Enrica Capelletto, Marina Garassino, Elena Nicod, Rosanna Tarricone

Abstract

Introduction: Mobile health technologies may enhance patient empowerment and data integration along the whole care continuum. However, these interventions pose relatively new regulatory, organisational and technological challenges that limit appropriate evaluation. Lung Cancer App (LuCApp) is a mobile application developed by researchers and clinicians to promote real-time monitoring and management of patients' symptoms. This protocol illustrates a clinical trial designed to evaluate the usability, effectiveness and cost-effectiveness of LuCApp versus standard of care.

Methods and analysis: This is a 24-week two-arm non-blinded multicentre parallel randomised controlled trial. A total of 120 adult patients diagnosed with small or non-small cell lung cancer and eligible for pharmaceutical treatments will be allocated 1:1 to receiving either standard care or LuCApp in addition to standard care at three oncology sites in Northern Italy. During the treatment period, LuCApp allows daily monitoring and grading of a list of symptoms, which trigger alerts to the physicians in case predefined severity thresholds are met. Patients will complete a baseline assessment and a set of valid and reliable patient-reported outcome measures every 3±1 weeks, and up to 24 weeks. The primary outcome is the change in the score of the Trial Outcome Index in the Functional Assessment of Cancer Therapy (Lung) questionnaire from baseline to 12 weeks. Secondary outcomes are the Lung Cancer Subscale, the EuroQoL 5D-5L questionnaire, the Hospital Anxiety and Depression Scale, the Supportive Care Needs Survey Short Form, the app usability questionnaire and the Zarit Burden Interview for the main caregiver.

Ethics and dissemination: The trial received ethical approval from the three clinical sites. Trial results will be disseminated through peer-reviewed publications and conference presentations.

Conclusions: This trial makes a timely contribution to test a mobile application designed to improve the quality of life and delivery of care for patients with lung cancer.

Trial registration number: NCT03512015; Pre-results.

Keywords: RCT; health-related quality of life; lung cancer; m-health; self-reporting.

Conflict of interest statement

Competing interests: OC, MC, FP, RT report grant from Helsinn Healthcare SA, during the conduct of the study; and are currently involved in the COMED H2020 EU project nr 779306. GA, NZ, MG report grant from Università Bocconi, during the conduct of the study. EN reports grants from Horizon2020 funding from the European Commission for IMPACT HTA project, personal fees from Dolon Consultancy, personal fees from previous consultancy and teaching activities, outside the submitted work. SN reports personal fees as speaker bureau from BMS, MSD, Takeda, BI, Roche, AstraZeneca, Eli Lillly, outside the submitted work.

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Flow diagram for screening, enrolment, randomisation, data collection and analysis. EQ-5D, EuroQoL 5 Dimensions; FACT-L, Functional Assessment of Cancer Therapy-Lung; HADS, Hospital Anxiety and Depression Scale; ITT, intention to treat; LuCApp, Lung Cancer App; SCNS-SF34, Supportive Care Needs Survey Short Form; ZBI, Zarit Burden Interview.
Figure 2
Figure 2
Lung Cancer App (LuCApp) patient version. Home screen where the patient can access self-monitoring, info and questionnaires; example of daily symptom questionnaire and health-related quality of life visual analogue scale.
Figure 3
Figure 3
Lung Cancer App (LuCApp) clinician version. Home screen and examples of actions taken in response to alerts.

References

    1. McCorkle R, Ercolano E, Lazenby M, et al. . Self-management: Enabling and empowering patients living with cancer as a chronic illness. CA Cancer J Clin 2011;61:50–62. 10.3322/caac.20093
    1. Barlow J, Wright C, Sheasby J, et al. . Self-management approaches for people with chronic conditions: a review. Patient Educ Couns 2002;48:177–87. 10.1016/S0738-3991(02)00032-0
    1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin 2018;68:7–30. 10.3322/caac.21442
    1. World Health Organization. mHealth: New horizons for health through mobile technologies. Geneva, Switzerland: World Health Organization, 2011.
    1. Vincent CJ, Niezen G, O’Kane AA, et al. . Can standards and regulations keep up with health technology? JMIR Mhealth Uhealth 2015;3:e64 10.2196/mhealth.3918
    1. Peiris D, Miranda JJ, Mohr DC. Going beyond killer apps: building a better mHealth evidence base. BMJ Glob Health 2018;3:e000676 10.1136/bmjgh-2017-000676
    1. Research2Guidance. Research2Guidance. mHealth App Economics 2017: Current status and future trends in Mobile Health. 2017. (cited Mar 2018).
    1. Basch E, Deal AM, Kris MG, et al. . Symptom monitoring with patient-reported outcomes during routine cancer treatment: a randomized controlled trial. J Clin Oncol 2016;34:557–65. 10.1200/JCO.2015.63.0830
    1. Denis F, Lethrosne C, Pourel N, et al. . Randomized trial comparing a web-mediated follow-up with routine surveillance in lung cancer patients. J Natl Cancer Inst 2017;109:1460–2105. 10.1093/jnci/djx029
    1. Maguire R, Fox PA, McCann L, et al. . The eSMART study protocol: a randomised controlled trial to evaluate electronic symptom management using the advanced symptom management system (ASyMS) remote technology for patients with cancer. BMJ Open 2017;7:e015016 10.1136/bmjopen-2016-015016
    1. GBD 2016 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017;390:1474–547. 10.1016/S0140-6736(17)32154-2
    1. Wong MCS, Lao XQ, Ho KF, et al. . Incidence and mortality of lung cancer: global trends and association with socioeconomic status. Sci Rep 2017;7:14300 10.1038/s41598-017-14513-7
    1. Cella D. The Functional Assessment of Cancer Therapy-Lung and Lung Cancer Subscale assess quality of life and meaningful symptom improvement in lung cancer. Semin Oncol 2004;31:11–15. 10.1053/j.seminoncol.2004.04.008
    1. EuroQol. EQ-5D-5L user guide. 2015. (cited Mar 2017).
    1. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand 1983;67:361–70. 10.1111/j.1600-0447.1983.tb09716.x
    1. Zeneli A, Fabbri E, Donati E, et al. . Translation of Supportive Care Needs Survey Short Form 34 (SCNS-SF34) into Italian and cultural validation study. Support Care Cancer 2016;24:843–8. 10.1007/s00520-015-2852-0
    1. Chattat R, Cortesi V, Izzicupo F, et al. . The Italian version of the Zarit Burden interview: a validation study. Int Psychogeriatr 2011;23:797–805. 10.1017/S1041610210002218
    1. Chan AW, Tetzlaff JM, Gøtzsche PC, et al. . SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ 2013;346:e7586–1833. 10.1136/bmj.e7586
    1. Eysenbach G. CONSORT-EHEALTH Group. CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res 2011;13:e126 10.2196/jmir.1923
    1. Lin JY, Lu Y. Establishing a data monitoring committee for clinical trials. Shanghai Arch Psychiatry 2014;26:54–6. 10.3969/j.issn.1002-0829.2014.01.009
    1. Bruera E, Kuehn N, Miller MJ, et al. . The Edmonton Symptom Assessment System (ESAS): a simple method for the assessment of palliative care patients. J Palliat Care 1991;7:6–9.
    1. Cooley ME. Symptoms in adults with lung cancer. A systematic research review. J Pain Symptom Manage 2000;19:137–53.
    1. Iyer S, Taylor-Stokes G, Roughley A. Symptom burden and quality of life in advanced non-small cell lung cancer patients in France and Germany. Lung Cancer 2013;81:288–93. 10.1016/j.lungcan.2013.03.008
    1. Spiro SG, Rudd RM, Souhami RL, et al. . Chemotherapy versus supportive care in advanced non-small cell lung cancer: improved survival without detriment to quality of life. Thorax 2004;59:828–36. 10.1136/thx.2003.020164
    1. NIH National Cancer Institute. Common Terminology Criteria for Adverse Events (CTCAE) Version 4.0, 2009.
    1. National Comprehensive Cancer Network. Patient and Caregiver resources. 2017. (cited Oct 2017).
    1. Muscaritoli M, Preziosa I, Canelli A, et al. . La nutrizione nel malato oncologico: Associazione Italiana Malati di Cancro, 2017.
    1. Associazione Italiana di Oncologia Medica. NEOPLASIE DEL POLMONE. LINEE GUIDA, 2015.
    1. Cleeland CS, Mendoza TR : Cleeland CS, Fisch MJ, Dunn AJ, Symptom measurement by patient report, in Cancer symptom science: measurement, mechanisms, and management. New York: Cambridge University Press, 2011:268–84.
    1. Di Giovanni J, Popovic M, Chow E, et al. . Comparison of the EORTC QLQ-LC13 and the FACT-L for assessment of quality of life in patients with lung cancer. J Pain Manage 2015;8:103–13.
    1. Damm K, Roeske N, Jacob C. Health-related quality of life questionnaires in lung cancer trials: a systematic literature review. Health Econ Rev 2013;3:15 10.1186/2191-1991-3-15
    1. Eton DT, Yost KJ, Cella D. Future trends in patient-reported outcomes assessment for patients with advanced-stage lung cancer receiving targeted therapy. Clin Lung Cancer 2006;8:99–109. 10.3816/CLC.2006.n.037
    1. Claassens L, van Meerbeeck J, Coens C, et al. . Health-related quality of life in non-small-cell lung cancer: an update of a systematic review on methodologic issues in randomized controlled trials. J Clin Oncol 2011;29:2104–20. 10.1200/JCO.2010.32.3683
    1. Bjelland I, Dahl AA, Haug TT, et al. . The validity of the Hospital Anxiety and Depression Scale. An updated literature review. J Psychosom Res 2002;52:69–77.
    1. Sanders SL, Bantum EO, Owen JE, et al. . Supportive care needs in patients with lung cancer. Psychooncology 2010;19:480–9. 10.1002/pon.1577
    1. Bonevski B, Sanson-Fisher R, Girgis A, et al. . Evaluation of an instrument to assess the needs of patients with cancer. Supportive Care Review Group. Cancer 2000;88:217–25.
    1. McElduff P, Boyes AW, Zucca A, et al. . Supportive care needs survey: a guide to administration, scoring and analysis: Centre for Health Research & Psycho-oncology, 2004.
    1. Shilling V, Matthews L, Jenkins V, et al. . Patient-reported outcome measures for cancer caregivers: a systematic review. Qual Life Res 2016;25:1859–76. 10.1007/s11136-016-1239-0
    1. Malik FA, Gysels M, Higginson IJ. Living with breathlessness: a survey of caregivers of breathless patients with lung cancer or heart failure. Palliat Med 2013;27:647–56. 10.1177/0269216313488812
    1. Lewis JR. IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use. Int J Hum Comput Interact 1995;7:57–78. 10.1080/10447319509526110
    1. English LL, Dunsmuir D, Kumbakumba E, et al. . The PAediatric Risk Assessment (PARA) Mobile app to reduce postdischarge child mortality: design, usability, and feasibility for health care workers in Uganda. JMIR Mhealth Uhealth 2016;4:e16 10.2196/mhealth.5167
    1. Cella DF, Bonomi AE, Lloyd SR, et al. . Reliability and validity of the Functional Assessment of Cancer Therapy-Lung (FACT-L) quality of life instrument. Lung Cancer 1995;12:199–220. 10.1016/0169-5002(95)00450-F
    1. Cella D, Eton DT, Fairclough DL, et al. . What is a clinically meaningful change on the Functional Assessment of Cancer Therapy-Lung (FACT-L) Questionnaire? Results from Eastern Cooperative Oncology Group (ECOG) Study 5592. J Clin Epidemiol 2002;55:285–95. 10.1016/S0895-4356(01)00477-2
    1. Temel JS, Greer JA, Muzikansky A, et al. . Early palliative care for patients with metastatic non–small-cell lung cancer. N Engl J Med Overseas Ed 2010;363:733–42. 10.1056/NEJMoa1000678
    1. Thompson SG, Barber JA. How should cost data in pragmatic randomised trials be analysed? BMJ 2000;320:1197–200. 10.1136/bmj.320.7243.1197
    1. Remon J, Besse B, Soria JC. Successes and failures: what did we learn from recent first-line treatment immunotherapy trials in non-small cell lung cancer? BMC Med 2017;15:55 10.1186/s12916-017-0819-3
    1. Ben-Zeev D, Schueller SM, Begale M, et al. . Strategies for mHealth research: lessons from 3 mobile intervention studies. Adm Policy Ment Health 2015;42:157–67. 10.1007/s10488-014-0556-2

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