Effects of an interactive mHealth innovation for early detection of patient-reported symptom distress with focus on participatory care: protocol for a study based on prospective, randomised, controlled trials in patients with prostate and breast cancer

Ann Langius-Eklöf, Marie-Therése Crafoord, Mats Christiansen, Maria Fjell, Kay Sundberg, Ann Langius-Eklöf, Marie-Therése Crafoord, Mats Christiansen, Maria Fjell, Kay Sundberg

Abstract

Background: Cancer patients are predominantly treated as out-patients and as they often experience difficult symptoms and side effects it is important to facilitate and improve patient-clinician communication to support symptom management and self-care. Although the number of projects within supportive cancer care evaluating mobile health is increasing, few evidence-based interventions are described in the literature and thus there is a need for good quality clinical studies with a randomised design and sufficient power to guide future implementations. An interactive information and communications technology platform, including a smartphone/computer tablet app for reporting symptoms during cancer treatment was created in collaboration with a company specialising in health care management. The aim of this paper is to evaluate the effects of using the platform for patients with breast cancer during neo adjuvant chemotherapy treatment and patients with locally advanced prostate cancer during curative radiotherapy treatment. The main hypothesis is that the use of the platform will improve clinical management, reduce costs, and promote safe and participatory care.

Method: The study is a prospective, randomised, controlled trial for each patient group and it is based on repeated measurements. Patients are consecutively included and randomised. The intervention groups report symptoms via the app daily, during treatment and up to three weeks after end of treatment, as a complement to standard care. Patients in the control groups receive standard care alone. Outcomes targeted are symptom burden, quality of life, health literacy (capacity to understand and communicate health needs and promote healthy behaviours), disease progress and health care costs. Data will be collected before and after treatment by questionnaires, registers, medical records and biomarkers. Lastly, participants will be interviewed about participatory and meaningful care.

Discussion: Results will generate knowledge to enhance understanding about how to develop person-centred care using mobile technology. Supporting patients' involvement in their care to identify problems early, promotes more timely initiation of necessary treatment. This can benefit patients treated outside the hospital setting in regard to maintaining their safety.

Clinical trial registration: June 12 2015 NCT02477137 (Prostate cancer) and June 12 2015 NCT02479607 (Breast cancer).

Keywords: Application; Cancer supportive care; Clinical trial; Cost-effectiveness; Information communications technology; Participatory care; RCT; Study protocol; mHealth.

Conflict of interest statement

Ethical approval and consent to participate

Ethical approval has been obtained from the Regional Ethical Review Board in Stockholm (record number 2013/1652–31/2). All patients to be included in the study will be given oral and written information underscoring the voluntary nature of participation. All participants who agree to participate will sign a written consent form. Logged participant data will be accessible only to researchers in the group and health personnel managing reports and generated alerts when caring for the patient. Only the researchers in the research group will be able to access additional data on participants such as all data collected via questionnaires and in interviews. Data and any other information on participants, collected for, used in or generated by this project will not be used for any other purpose. The results will be presented in such a way that no participant can be identified.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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

Figures

Fig. 1
Fig. 1
Illustration of the ICT-platform
Fig. 2
Fig. 2
SPIRIT flow chart RCT-study prostate cancer
Fig. 3
Fig. 3
SPIRIT flow chart RCT-study breast cancer

References

    1. Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136(5):E359–E386. doi: 10.1002/ijc.29210.
    1. National evaluation 2013 Breast-,prostate-, colon-, and rectal cancer care : Basis for assessment (In Swedish: Nationell utvärdering 2013 - Bröst-, prostata-, tjocktarms- och ändtarmscancervård: indikatorer och underlag för bedömningar). [].
    1. Zhao S, Urdaneta AI, Anscher MS. The role of androgen deprivation therapy plus radiation therapy in patients with non-metastatic prostate cancer. Expert Rev Anticancer Ther. 2016;16(9):929–942. doi: 10.1080/14737140.2016.1218279.
    1. Bolla M, Gonzalez D, Warde P, Dubois JB, Mirimanoff R-O, Storme G, et al. Improved survival in patients with locally advanced prostate cancer treated with radiotherapy and goserelin. N Engl J Med. 1997;337(5):295–300. doi: 10.1056/NEJM199707313370502.
    1. Fransson P, Lund J-A, Damber J-E, Klepp O, Wiklund F, Fosså S, et al. Quality of life in patients with locally advanced prostate cancer given endocrine treatment with or without radiotherapy: 4-year follow-up of SPCG-7/SFUO-3, an open-label, randomised, phase III trial. Lancet Oncol. 2009;10(4):370–380. doi: 10.1016/S1470-2045(09)70027-0.
    1. Howlett K, Koetters T, Edrington J, West C, Paul S, Lee K, et al. Changes in sexual function on mood and quality of life in patients undergoing radiation therapy for prostate cancer. Oncol Nurs Forum. 2010;37(1):E58–66.
    1. Katz A. Quality of life for men with prostate cancer. Cancer Nurs. 2007;30(4):302–308. doi: 10.1097/01.NCC.0000281726.87490.f2.
    1. Gewandter J, Fan L, Magnuson A, Mustian K, Peppone L, Heckler C, et al. Falls and functional impairments in cancer survivors with chemotherapy-induced peripheral neuropathy (CIPN): a University of Rochester CCOP study. Support Care Cancer. 2013;21(7):2059–2066. doi: 10.1007/s00520-013-1766-y.
    1. Pachman DR, Barton DL, Swetz KM, Loprinzi CL. Troublesome symptoms in cancer survivors: fatigue, insomnia, neuropathy, and pain. J Clin Oncol. 2012;30(30):3687–3696. doi: 10.1200/JCO.2012.41.7238.
    1. Janz NK, Mujahid M, Chung LK, Lantz PM, Hawley ST, Morrow M, et al. Symptom experience and quality of life of women following breast cancer treatment. J Women's Health. 2007;16(9):1348–1361. doi: 10.1089/jwh.2006.0255.
    1. Montazeri A, Vahdaninia M, Harirchi I, Ebrahimi M, Khaleghi F, Jarvandi S. Quality of life in patients with breast cancer before and after diagnosis: an eighteen months follow-up study. BMC Cancer. 2008;8:330. doi: 10.1186/1471-2407-8-330.
    1. Hopwood P, Haviland J, Mills J, Sumo G, Bliss JM. The impact of age and clinical factors on quality of life in early breast cancer: an analysis of 2208 women recruited to the UK START trial (standardisation of breast radiotherapy trial) Breast. 2007;16(3):241–251. doi: 10.1016/j.breast.2006.11.003.
    1. Browall M, Ahlberg K, Karlsson P, Danielson E, Persson L-O, Gaston-Johansson F. Health-related quality of life during adjuvant treatment for breast cancer among postmenopausal women. Eur J Oncol Nurs. 2008;12(3):180–189. doi: 10.1016/j.ejon.2008.01.005.
    1. Kim J-EE, Dodd MJ, Aouizerat BE, Jahan T, Miaskowski C. A review of the prevalence and impact of multiple symptoms in oncology patients. J Pain Symptom Manag. 2009;37(4):715–736. doi: 10.1016/j.jpainsymman.2008.04.018.
    1. Katz SJ, Morrow M. The challenge of individualizing treatments for patients with breast cancer. JAMA. 2012;307(13):1379–1380. doi: 10.1001/jama.2012.409.
    1. Martensson L, Hensing G. Health literacy -- a heterogeneous phenomenon: a literature review. Scand J Caring Sci. 2012;26(1):151–160. doi: 10.1111/j.1471-6712.2011.00900.x.
    1. Sykes S, Wills J, Rowlands G, Popple K. Understanding critical health literacy: a concept analysis. BMC Public Health. 2013;13:150. doi: 10.1186/1471-2458-13-150.
    1. Riva S, Antonietti A, Iannello P, Pravettoni G. What are judgment skills in health literacy? A psycho-cognitive perspective of judgment and decision-making research. Patient Prefer Adherence. 2015;9:1677–1686. doi: 10.2147/PPA.S90207.
    1. Cooksley T, Rice T. Emergency oncology: development, current position and future direction in the USA and UK. Support Care Cancer. 2017;25(1):3–7. doi: 10.1007/s00520-016-3470-1.
    1. Harrison JM, Stella PJ, LaVasseur B, Adams PT, Swafford L, Lewis J, et al. Toxicity-related factors associated with use of services among community oncology patients. J Oncol Pract. 2016;12(8):e818–e827. doi: 10.1200/JOP.2016.010959.
    1. McKenzie H, Hayes L, White K, Cox K, Fethney J, Boughton M, et al. Chemotherapy outpatients’ unplanned presentations to hospital: a retrospective study. Support Care Cancer. 2011;19(7):963–969. doi: 10.1007/s00520-010-0913-y.
    1. van der Meer DM, Weiland TJ, Philip J, Jelinek GA, Boughey M, Knott J, et al. Presentation patterns and outcomes of patients with cancer accessing care in emergency Departments in Victoria. Australia Support Care Cancer. 2016;24(3):1251–1260. doi: 10.1007/s00520-015-2921-4.
    1. Vandyk AD, Harrison MB, Macartney G, Ross-White A, Stacey D. Emergency department visits for symptoms experienced by oncology patients: a systematic review. Support Care Cancer. 2012;20(8):1589–1599. doi: 10.1007/s00520-012-1459-y.
    1. Bennion AE, Molassiotis A. Qualitative research into the symptom experiences of adult cancer patients after treatments: a systematic review and meta-synthesis. Support Care Cancer. 2013;21(1):9–25. doi: 10.1007/s00520-012-1573-x.
    1. Blomberg K, Wengstrom Y, Sundberg K, Browall M, Isaksson AK, Nyman MH, et al. Symptoms and self-care strategies during and six months after radiotherapy for prostate cancer - scoping the perspectives of patients, professionals and literature. Eur J Oncol Nurs. 2016;21:139–145. doi: 10.1016/j.ejon.2015.09.004.
    1. Hsiao CP, Moore IM, Insel KC, Merkle CJ. Symptom self-management strategies in patients with non-metastatic prostate cancer. J Clin Nurs. 2014;23(3–4):440–449. doi: 10.1111/jocn.12178.
    1. Johnsen AT, Petersen MA, Pedersen L, Houmann LJ, Groenvold M. Do advanced cancer patients in Denmark receive the help they need? A nationally representative survey of the need related to 12 frequent symptoms/problems. Psychooncology. 2013;22(8):1724–1730. doi: 10.1002/pon.3204.
    1. Spichiger E, Rieder E, Müller-Fröhlich C, Kesselring A. Fatigue in patients undergoing chemotherapy, their self-care and the role of health professionals: a qualitative study. Eur J Oncol Nurs. 2012;16(2):165–171. doi: 10.1016/j.ejon.2011.05.002.
    1. Mehnert A: Employment and work-related issues in cancer survivors. Crit. Rev. Oncol./Hematol. 2011, 77(2):109–130.
    1. Cooper AF, Hankins M, Rixon L, Eaton E, Grunfeld EA. Distinct work-related, clinical and psychological factors predict return to work following treatment in four different cancer types. Psychooncology. 2013;22(3):659–667. doi: 10.1002/pon.3049.
    1. Sprangers MAG. Disregarding clinical trial-based patient-reported outcomes is unwarranted: five advances to substantiate the scientific stringency of quality-of-life measurement. Acta Oncol. 2010;49(2):155–163. doi: 10.3109/02841860903440288.
    1. Howell D, Molloy S, Wilkinson K, Green E, Orchard K, Wang K, et al. Patient-reported outcomes in routine cancer clinical practice: a scoping review of use, impact on health outcomes, and implementation factors. Ann Oncol. 2015;26(9):1846–1858. doi: 10.1093/annonc/mdv181.
    1. Schougaard LM, Larsen LP, Jessen A, Sidenius P, Dorflinger L, de Thurah A, et al. AmbuFlex: tele-patient-reported outcomes (telePRO) as the basis for follow-up in chronic and malignant diseases. Qual Life Res. 2016;25(3):525–534. doi: 10.1007/s11136-015-1207-0.
    1. Guidance for Industry:Patient-Reported Outcome measures: Use in Medical Product Development to Support Labelling Claims [].
    1. Chen J, Ou L, Hollis SJ. A systematic review of the impact of routine collection of patient reported outcome measures on patients, providers and health organisations in an oncologic setting. BMC Health Serv Res. 2013;13:21.
    1. Kotronoulas G, Kearney N, Maguire R, Harrow A, Di Domenico D, Croy S, et al. 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. 2014;32(14):1480–501.
    1. Valderas J, Kotzeva A, Espallargues M, Guyatt G, Ferrans C, Halyard MY, et al. The impact of measuring patient-reported outcomes in clinical practice: a systematic review of the literature. Qual Life Res. 2008;17(2):179–193. doi: 10.1007/s11136-007-9295-0.
    1. Jensen RE, Snyder CF, Abernethy AP, Basch E, Potosky AL, Roberts AC, et al. Review of electronic patient-reported outcomes systems used in cancer clinical care. J. Oncol. Pract. 2014;10(4):e215–e222. doi: 10.1200/JOP.2013.001067.
    1. Borosund E, Cvancarova M, Moore SM, Ekstedt M, Ruland CM. Comparing effects in regular practice of e-communication and web-based self-management support among breast cancer patients: preliminary results from a randomized controlled trial. J Med Internet Res. 2014;16(12) doi: 10.2196/jmir.3348.
    1. Ruland CM, Andersen T, Jeneson A, Moore S, Grimsbo GH, Borosund E, et al. Effects of an Internet support system to assist cancer patients in reducing symptom distress a randomized controlled trial. Cancer Nurs. 2013;36(1):6–17. doi: 10.1097/NCC.0b013e31824d90d4.
    1. Maguire R, Ream E, Richardson A, Connaghan J, Johnston B, Kotronoulas G, et al. Development of a novel remote patient monitoring system: the advanced symptom management system for radiotherapy to improve the symptom experience of patients with lung cancer receiving radiotherapy. Cancer Nurs. 2015;38(2):E37–E47. doi: 10.1097/NCC.0000000000000150.
    1. Ruland CM, Jeneson A, Andersen T, Andersen R, Slaughter L, Bente Schjodt O, et al. Designing tailored Internet support to assist cancer patients in illness management. AMIA Annu Symp proc. 2007:635–639.
    1. Børøsund E, Cvancarova M, Ekstedt M, Moore SM, Ruland CM. How user characteristics affect use patterns in web-based illness management support for patients with breast and prostate cancer. J Med Internet Res. 2013;15(3) doi: 10.2196/jmir.2285.
    1. Fiordelli M, Diviani N, Schulz PJ. Mapping mHealth Research: A Decade of Evolution. J Med Internet Res. 2013;15(5):e95.
    1. Nasi G, Cucciniello M, Guerrazzi C. The role of mobile technologies in health care processes: the case of cancer supportive care. J Med Internet Res. 2015;17(2) doi: 10.2196/jmir.3757.
    1. Boulos MNK, Brewer AC, Karimkhani C, Buller DB, Dellavalle RP. Mobile medical and health apps: state of the art, concerns, regulatory control and certification. Online J Public Health Inform. 2014;5(3):229.
    1. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. Int J Nurs Stud. 2013;50(5):587–592. doi: 10.1016/j.ijnurstu.2012.09.010.
    1. Pocock SJ. A perspective on the role of quality-of-life assessment in clinical trials. Control Clin Trials. 1991;12(4):S257–S265. doi: 10.1016/S0197-2456(05)80029-7.
    1. Sundberg K, Eklof AL, Blomberg K, Isaksson AK, Wengstrom Y. Feasibility of an interactive ICT-platform for early assessment and management of patient-reported symptoms during radiotherapy for prostate cancer. Eur J Oncol Nurs. 2015;19(5):523–528. doi: 10.1016/j.ejon.2015.02.013.
    1. Aaronson NK, Ahmedzai S, Bergman B, Bullinger M, Cull A, Duez NJ, et al. The European Organization for Research and Treatment of cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology. J Natl Cancer Inst. 1993;85(5):365–376. doi: 10.1093/jnci/85.5.365.
    1. Portenoy RK, Thaler HT, Kornblith AB, Lepore JM, Friedlander-Klar H, Kiyasu E, et al. The Memorial symptom assessment scale: an instrument for the evaluation of symptom prevalence, characteristics and distress. Eur J Canc. 1994;30(9):1326–1336. doi: 10.1016/0959-8049(94)90182-1.
    1. Suhonen R, Leino-Kilpi H, Välimäki M. Development and psychometric properties of the individualized care scale. J Eval Clin Pract. 2005;11(1):7–20. doi: 10.1111/j.1365-2753.2003.00481.x.
    1. Antonovsky A. Unraveling the mystery of health: how people manage stress and stay well: Jossey-bass. 1987.
    1. Eriksson M, Lindström B. Validity of Antonovsky’s sense of coherence scale: a systematic review. J Epidemiol Community Health. 2005;59(6):460–466. doi: 10.1136/jech.2003.018085.
    1. Wångdahl JM, Mårtensson LI. Measuring health literacy–the Swedish functional health literacy scale. Scand J Caring Sci. 2015;29(1):165–172. doi: 10.1111/scs.12125.
    1. Sundberg K. Support. Care Cancer. 2017 doi:10.1007/s00520-017-3625-8.
    1. Cnaan A, Laird NM, Slasor P. Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal data. Stat Med. 1997;16(20):2349–2380. doi: 10.1002/(SICI)1097-0258(19971030)16:20<2349::AID-SIM667>;2-E.
    1. Hagenaars JA, McCutcheon AL. Applied latent class analysis: Cambridge University press. 2002.
    1. Elo S, Kyngas H. The qualitative content analysis process. J Adv Nurs. 2008;62(1):107–115. doi: 10.1111/j.1365-2648.2007.04569.x.
    1. Federal Commission UFC. Connecting America, the National Broadband Plan. Washington, DC: Federal Communications Comission.
    1. Olsson S, Lymberis A, Whitehouse D. European Commission activities in eHealth. Int. J. Circumpolar Health. 2004:63(4).
    1. Steinberg H, Alvarez R. Canada health Infoway annual report 2007–2008. The e-volution of health care. Making a difference. Canada Health Infoway: Toronto, ON; 2009.
    1. WHO: mHealth New horizons for health through mobile technologies. In: Global Observatory for eHealth series. Switzerland; 2011.
    1. Weinstein RS, Lopez AM, Joseph BA, Erps KA, Holcomb M, Barker GP, et al. Telemedicine, telehealth, and mobile health applications that work: opportunities and barriers. Am J Med. 2014;127(3):183–187. doi: 10.1016/j.amjmed.2013.09.032.
    1. May CR. Making sense of technology adoption in healthcare: meso-level considerations. BMC Med. 2015;13(1):1. doi: 10.1186/s12916-014-0241-z.
    1. Moors E, Peine A: Valuing Diagnostic Innovations: Towards Responsible Health Technology Assessment. In: Emerging Technologies for Diagnosing Alzheimer's Disease. edn.: Springer; 2016: 245–261.
    1. O'Connor S, Hanlon P, O'Donnell CA, Garcia S, Glanville J, Mair FS. Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies. BMC Med Inform Decis Mak. 2016;16(1):120. doi: 10.1186/s12911-016-0359-3.
    1. Basch E, Deal AM, Kris MG, Scher HI, Hudis CA, Sabbatini P, et al. Symptom monitoring with patient-reported outcomes during routine cancer treatment: a randomized controlled trial. J Clin Oncol. 2016;34(6):557–565. doi: 10.1200/JCO.2015.63.0830.
    1. Drott J, Vilhelmsson M, Kjellgren K, Bertero C. Experiences with a self-reported mobile phone-based system among patients with colorectal cancer: a qualitative study. Jmir Mhealth and Uhealth. 2016;4(2):182–190. doi: 10.2196/mhealth.5426.
    1. Broos A. Gender and information and communication technologies (ICT) anxiety: male self-assurance and female hesitation. Cyberpsychology & behavior: the impact of the Internet, multimedia and virtual reality on behavior and society. 2005;8(1):21–31. doi: 10.1089/cpb.2005.8.21.
    1. Houston TK, Allison JJ. Users of Internet health information: differences by health status. J Med Internet Res. 2002;4(2) doi: 10.2196/jmir.4.2.e7.
    1. Lemire M, Paré G, Sicotte C, Harvey C. Determinants of Internet use as a preferred source of information on personal health. Int J Med Inform. 2008;77(11):723–734. doi: 10.1016/j.ijmedinf.2008.03.002.
    1. Rai A, Chen LW, Pye J, Baird A. Understanding determinants of consumer mobile health usage intentions, assimilation, and channel preferences. J Med Internet Res. 2013;15(8):20. doi: 10.2196/jmir.2635.

Source: PubMed

3
Abonneren