Novel mHealth App to Deliver Geriatric Assessment-Driven Interventions for Older Adults With Cancer: Pilot Feasibility and Usability Study

Background Older patients with cancer are at an increased risk of adverse outcomes. A geriatric assessment (GA) is a compilation of reliable and validated tools to assess domains that are predictors of morbidity and mortality, and it can be used to guide interventions. However, the implementation of GA and GA-driven interventions is low due to resource and time limitations. GA-driven interventions delivered through a mobile app may support the complex needs of older patients with cancer and their caregivers. Objective We aimed to evaluate the feasibility and usability of a novel app (TouchStream) and to identify barriers to its use. As an exploratory aim, we gathered preliminary data on symptom burden, health care utilization, and satisfaction. Methods In a single-site pilot study, we included patients aged ≥65 years undergoing treatment for systemic cancer and their caregivers. TouchStream consists of a mobile app and a Web portal. Patients underwent a GA at baseline with the study team (on paper), and the results were used to guide interventions delivered through the app. A tablet preloaded with the app was provided for use at home for 4 weeks. Feasibility metrics included usability (system usability scale of >68 is considered above average), recruitment, retention (number of subjects consented who completed postintervention assessments), and percentage of days subjects used the app. For the last 8 patients, we assessed their symptom burden (severity and interference with 17-items scored from 0-10 where a higher score indicates worse symptoms) using a clinical symptom inventory, health care utilization from the electronic medical records, and satisfaction (6 items scored on a 5-point Likert Scale for both patients and caregivers where a higher score indicates higher satisfaction) using a modified satisfaction survey. Barriers to use were elicited through interviews. Results A total of 18 patients (mean age 76.8, range 68-87) and 13 caregivers (mean age 69.8, range 38-81) completed the baseline assessment. Recruitment and retention rates were 67% and 80%, respectively. The mean SUS score was 74.0 for patients and 72.2 for caregivers. Mean percentage of days the TouchStream app was used was 78.7%. Mean symptom severity and interference scores were 1.6 and 2.8 at preintervention, and 0.9 and 1.5 at postintervention, respectively. There was a total of 27 clinic calls during the intervention period and 15 during the postintervention period (week 5-8). One patient was hospitalized during the intervention period (week 1-4) and two patients during the postintervention period (week 5-8). Mean satisfaction scores of patients and caregivers with the mobile app were 20.4 and 23.4, respectively. Barriers fell into 3 themes: general experience, design, and functionality. Conclusions TouchStream is feasible and usable for older patients on cancer treatment and their caregivers. Future studies should evaluate the effects of the TouchStream on symptoms and health care utilization in a randomized fashion.

[1]  H. Wildiers,et al.  Adherence to geriatric assessment-based recommendations in older patients with cancer: a multicenter prospective cohort study in Belgium , 2018, Annals of oncology : official journal of the European Society for Medical Oncology.

[2]  H. Cohen,et al.  Practical Assessment and Management of Vulnerabilities in Older Patients Receiving Chemotherapy: ASCO Guideline for Geriatric Oncology. , 2018, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[3]  S. Mohile,et al.  Using Information Technology in the Assessment and Monitoring of Geriatric Oncology Patients , 2018, Current Oncology Reports.

[4]  P. Duberstein,et al.  Elucidating the associations between sleep disturbance and depression, fatigue, and pain in older adults with cancer. , 2018, Journal of geriatric oncology.

[5]  M. Kris,et al.  Overall Survival Results of a Trial Assessing Patient-Reported Outcomes for Symptom Monitoring During Routine Cancer Treatment , 2017, JAMA.

[6]  Richard Parker,et al.  The use of mobile applications to support self-management for people with asthma: a systematic review of controlled studies to identify features associated with clinical effectiveness and adherence , 2017, J. Am. Medical Informatics Assoc..

[7]  Paul McCrone,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 , 2017, BMJ Open.

[8]  P. Duberstein,et al.  Associations of sleep disturbance with physical function and cognition in older adults with cancer , 2017, Supportive Care in Cancer.

[9]  Xin Sun,et al.  Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy , 2017, JMIR mHealth and uHealth.

[10]  Yong Hyun Park,et al.  Effects of exercise intervention in breast cancer patients: is mobile health (mHealth) with pedometer more effective than conventional program using brochure? , 2017, Breast Cancer Research and Treatment.

[11]  H. Cohen,et al.  Validation of a Prediction Tool for Chemotherapy Toxicity in Older Adults With Cancer. , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[12]  Deborah Schrag,et al.  Symptom Monitoring With Patient-Reported Outcomes During Routine Cancer Treatment: A Randomized Controlled Trial. , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[13]  Hyunggoo Kang,et al.  Evaluation of Smartphone Applications for Cardiopulmonary Resuscitation Training in South Korea , 2016, BioMed research international.

[14]  Ashley R. Branham,et al.  Measuring Satisfaction and Usability of FaceTime for Virtual Visits in Patients with Uncontrolled Diabetes. , 2016, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[15]  S. Mohile,et al.  Geriatric Assessment-Guided Care Processes for Older Adults: A Delphi Consensus of Geriatric Oncology Experts. , 2015, Journal of the National Comprehensive Cancer Network : JNCCN.

[16]  P. Burhenn,et al.  Using tools and technology to promote education and adherence to oral agents for cancer. , 2015, Clinical journal of oncology nursing.

[17]  S. Hughes,et al.  The impact of comprehensive geriatric assessment interventions on tolerance to chemotherapy in older people , 2015, British Journal of Cancer.

[18]  Feipei Lai,et al.  Tablet PC-enabled application intervention for patients with gastric cancer undergoing gastrectomy , 2015, Comput. Methods Programs Biomed..

[19]  George Demiris,et al.  Older adults and mobile phones for health: A review , 2013, J. Biomed. Informatics.

[20]  H. Wildiers,et al.  Relevance of a systematic geriatric screening and assessment in older patients with cancer: results of a prospective multicentric study. , 2013, Annals of oncology : official journal of the European Society for Medical Oncology.

[21]  J. Monette,et al.  The impact of cancer therapy on cognition in the elderly , 2013, Front. Pharmacol..

[22]  Yan Hong,et al.  Designing iCanFit: A Mobile-Enabled Web Application to Promote Physical Activity for Older Cancer Survivors , 2013, JMIR research protocols.

[23]  R. Sulkava,et al.  Effects of individual dietary counseling as part of a Comprehensive Geriatric Assessment (CGA) on nutritional status: A population-based intervention study , 2013, The journal of nutrition, health & aging.

[24]  R. Jayani,et al.  Caregivers of older adults with cancer. , 2012, Seminars in oncology nursing.

[25]  Supriya G Mohile,et al.  Predicting chemotherapy toxicity in older adults with cancer: a prospective multicenter study. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[26]  C. Brotons,et al.  Effectiveness of a geriatric intervention in primary care: a randomized clinical trial. , 2010, Family practice.

[27]  Shwu-chong Wu,et al.  The effectiveness of a comprehensive geriatric assessment intervention program for frailty in community-dwelling older people: a randomized, controlled trial. , 2010, Archives of gerontology and geriatrics.

[28]  N. Kearney,et al.  Evaluation of a mobile phone-based, advanced symptom management system (ASyMS©) in the management of chemotherapy-related toxicity , 2009, Supportive Care in Cancer.

[29]  Linda G. Marc,et al.  Screening performance of the 15-item geriatric depression scale in a diverse elderly home care population. , 2008, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[30]  James T. Miller,et al.  An Empirical Evaluation of the System Usability Scale , 2008, Int. J. Hum. Comput. Interact..

[31]  S. Mohile,et al.  A practical approach to geriatric assessment in oncology. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[32]  Hsiu-Fang Hsieh,et al.  Three Approaches to Qualitative Content Analysis , 2005, Qualitative health research.

[33]  J. Cummings,et al.  The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment , 2005, Journal of the American Geriatrics Society.

[34]  T. Cederholm,et al.  Body mass index as a predictor of 1 year mortality in geriatric patients. , 2000, Clinical nutrition.

[35]  M. E. Posthauer,et al.  Clinical indicators associated with unintentional weight loss and pressure ulcers in elderly residents of nursing facilities. , 1995, Journal of the American Dietetic Association.

[36]  Robert P. Hawkins,et al.  CHESS: An interactive computer system for women with breast cancer piloted with an underserved population , 1994, Proceedings. Symposium on Computer Applications in Medical Care.

[37]  L. Ferrucci,et al.  A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. , 1994, Journal of gerontology.

[38]  A. Stewart,et al.  Physical Functioning Measures , 1992 .

[39]  A. Stewart,et al.  Measuring Functioning and Well-Being: The Medical Outcomes Study Approach , 1992 .

[40]  J. Liang,et al.  The Structure of the OARS Physical Health Measures , 1991, Medical care.

[41]  Y. Lamour,et al.  A comparative evaluation of the short orientation memory concentration test of cognitive impairment. , 1987, Journal of neurology, neurosurgery, and psychiatry.

[42]  B Brorsson,et al.  Katz index of independence in ADL. Reliability and validity in short-term care. , 2020, Scandinavian journal of rehabilitation medicine.

[43]  M. Lawton,et al.  Assessment of Older People: Self-Maintaining and Instrumental Activities of Daily Living , 1969 .