Automated home monitoring and management of patient-reported symptoms during chemotherapy: results of the symptom care at home RCT

Kathi H Mooney, Susan L Beck, Bob Wong, William Dunson, Debra Wujcik, Meagan Whisenant, Gary Donaldson, Kathi H Mooney, Susan L Beck, Bob Wong, William Dunson, Debra Wujcik, Meagan Whisenant, Gary Donaldson

Abstract

Technology-aided remote interventions for poorly controlled symptoms may improve cancer symptom outcomes. In a randomized controlled trial, the efficacy of an automated symptom management system was tested to determine if it reduced chemotherapy-related symptoms. Prospectively, 358 patients beginning chemotherapy were randomized to the Symptom Care at Home (SCH) intervention (n = 180) or enhanced usual care (UC) (n = 178). Participants called the automated monitoring system daily reporting severity of 11 symptoms. SCH participants received automated self-management coaching and nurse practitioner (NP) telephone follow-up for poorly controlled symptoms. NPs used a guideline-based decision support system. Primary endpoints were symptom severity across all symptoms, and the number of severe, moderate, mild, and no symptom days. A secondary endpoint was individual symptom severity. Mixed effects linear modeling and negative binominal regressions were used to compare SCH with UC. SCH participants had significantly less symptom severity across all symptoms (P < 0.001). On average, the relative symptom burden reduction for SCH participants was 3.59 severity points (P < 0.001), roughly 43% of UC. With a very rapid treatment benefit, SCH participants had significant reductions in severe (67% less) and moderate (39% less) symptom days compared with UC (both P < 0.001). All individual symptoms, except diarrhea, were significantly lower for SCH participants (P < 0.05). Symptom Care at Home dramatically improved symptom outcomes. These results demonstrate that symptoms can be improved through automated home monitoring and follow-up to intensify care for poorly controlled symptoms.

Trial registration: ClinicalTrials.gov NCT01973946.

Keywords: Chemotherapy; decision support systems; eHealth; evidence-based clinical practice guidelines; patient-reported outcomes; symptom management; telehealth.

© 2017 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Figures

Figure 1
Figure 1
CONSORT 1 Flow Diagram
Figure 2
Figure 2
Daily values for total symptom severity summed across all 11 symptoms

References

    1. Basch, E. , Iasonos A., Barz A., et al. 2007. Long‐term toxicity monitoring via electronic patient‐reported outcomes in patients receiving chemotherapy. J. Clin. Oncol. 25:5374–5380.
    1. Berry, D. L. , Blumenstein B. A., Halpenny B., et al. 2011. Enhancing patient‐provider communication with the electronic self‐report assessment for cancer: a randomized trial. J. Clin. Oncol. 29:1029–1035.
    1. Berry, D. L. , Hong F., Halpenny B., et al. 2014a. The electronic self report assessment and intervention for cancer: promoting patient verbal reporting of symptom and quality of life issues in a randomized controlled trial. BMC Cancer 14:513.
    1. Berry, D. L. , Hong F., Halpenny B., et al. 2014b. Electronic self‐report assessment for cancer and self‐care support: results of a multicenter randomized trial. J. Clin. Oncol. 32:199–205.
    1. Cleeland, C. S. , Wang X. S., Shi Q., et al. 2011a. Automated symptom alerts reduce postoperative symptom severity after cancer surgery: a randomized controlled clinical trial. J. Clin. Oncol. 29:994–1000.
    1. Head, B. A. , Keeney C., Studts J. L., et al. 2011. Feasibility and acceptance of a telehealth intervention to promote symptom management during treatment for head and neck cancer. J. Support. Oncol. 9:e1–e11.
    1. Kearney, N. , McCann L., Norrie J., et al. 2009. Evaluation of a mobile phone‐based, advanced symptom management system (ASyMS©) in the management of chemotherapy‐related toxicity. Support. Care Cancer 17:437–444.
    1. McCall, K. , Keen J., Farrer K., et al. 2008. Perceptions of the use of a remote monitoring system in patients receiving palliative care at home. Int. J. Palliat. Nurs. 14:426–431.
    1. 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 18:156–164.
    1. Mooney, K. H. , Beck S. L., Friedman R. H., et al. 2002. Telephone‐linked care for cancer symptom monitoring. Cancer Pract. 10:147–154.
    1. Mooney, K. H. , Beck S. L., Friedman R. H., et al. 2014. Automated monitoring of symptoms during ambulatory chemotherapy and oncology providers’ use of the information: a randomized controlled clinical trial. Support. Care Cancer 22:2343–2350.
    1. Piette, J. D. , Rosland A.‐M., Marinec N. S., et al. 2013. Engagement with automated patient monitoring and self‐management support calls: experience with a thousand chronically‐ill patients. Med. Care 51:216–223.
    1. Ruland, C. M. , Andersen T., Jeneson A., et al. 2013. Effects of an internet support system to assist cancer patients in reducing symptom distress: a randomized controlled trial. Cancer Nurs. 36:6–17.
    1. Yount, S. E. , Rothrock N., Bass M., et al. 2014. A randomized trial of weekly symptom telemonitoring in advanced lung cancer. J. Pain Symptom Manage. 47:973–989.
    1. Boyce, M. B. , and Browne J. P.. 2013. Does providing feedback on patient‐reported outcomes to healthcare professionals result in better outcomes for patients?. A systematic review Qual. Life Res. 22:2265–2278.
    1. Chen, J. , Ou L., and Hollis S. J.. 2013. 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. 13:211.
    1. Johansen, M. A. , Henriksen E., Berntsen G., et al. 2010. Electronic symptom reporting by patients: a literature review. Stud. Health Technol. Inform. 169:13–17.
    1. Kotronoulas, G. , Kearney N., Maguire R., et al. 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.
    1. Basch, E. , Deal A. M., Kris M. G., et al. 2016. Symptom monistoring with patient‐reported outcomes during routine cancer treatment: a randomized controlled trial. J. Clin. Oncol. 34:557–565.
    1. Given, C. W. , Sikorskii A., Tamkus D., et al. 2008a. Managing symptoms among patients with breast cancer during chemotherapy: results of a two‐arm behavioral trial. J. Clin. Oncol. 26:5855–5862.
    1. Sikorskii, A. , Given C. W., Given B., et al. 2007. Symptom management for cancer patients: a trial comparing two multimodal interventions. J. Pain Symptom Manage. 34:253–264.
    1. Vandyk, A. D. , Harrison M. B., Macartney G., et al. 2012. Emergency department visits for symptoms experienced by oncology patients: a systematic review. Support. Care Cancer 20:1589–1599.
    1. Aujoulat, I. , Jacquemin P., Rietzschel E., et al. 2014. Factors associated with clinical inertia: an integrative review. Adv. Med. Educ. Pract. 5:141.
    1. Phillips, L. S. , Branch W. T., Cook C. B., et al. 2001. Clinical inertia. Ann. Intern. Med. 135:825–834.
    1. Phillips, L. S. , and Twombly J. G.. 2008. It's time to overcome clinical inertia. Ann. Intern. Med. 148:783–785.
    1. Cleeland, C. S. , Fisch M. J., and Dunn A. J.. 2011b. Cancer symptom science: measurement, mechanisms, and management. NY, Cambridge University Press, New York.
    1. Beck, S. L. , Eaton L. H., Echeverria C., et al.SymptomCare@Home: developing an integrated symptom monitoring and management system for outpatients receiving chemotherapy. Under Review.
    1. Given, B. , Given C. W., Sikorskii A., et al. 2008b. Establishing mild, moderate, and severe scores for cancer‐related symptoms: how consistent and clinically meaningful are interference‐based severity cut‐points? J. Pain Symptom Manage. 35:126–135.
    1. Gustafson, D. H. , DuBenske L. L., Namkoong K., et al. 2013. An eHealth system supporting palliative care for patients with non–small cell lung cancer. Cancer 119:1744–1751.

Source: PubMed

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