A Culturally Tailored Intervention System for Cancer Survivors to Motivate Physical Activity

It is necessary for a cancer survivor to have good health behavior. Essential exercise and proper diet are helpful to decrease the risk of recurrence of the disease and the development of a new cancer type. People from low socioeconomic status are more likely to participate in risky health behaviors and have a higher chance of recurrence of cancer. It is important to have a motivational system for cancer survivors that motivates them to perform regular physical activities. In this article, we discuss the development of an mHealth system, which aims to increase physical activity in Native American populations with culturally appropriate motivational text and video messages. The system also includes an e-journal to monitor and maintain proper healthcare. We will also analyze the pilot data to evaluate the usability and the effectiveness of the system.

[1]  K. Blesch,et al.  Correlates of fatigue in people with breast or lung cancer. , 1991, Oncology nursing forum.

[2]  Michael C. Minnotte,et al.  Noncancer deaths in white adult cancer patients. , 1993, Journal of the National Cancer Institute.

[3]  E. Protas Aerobic exercise in the rehabilitation of individuals with chronic low back pain: A review , 1996 .

[4]  C. Friedenreich,et al.  Determinants of exercise during colorectal cancer treatment: an application of the theory of planned behavior. , 1997, Oncology nursing forum.

[5]  L. Kanz,et al.  Aerobic exercise in the rehabilitation of cancer patients after high dose chemotherapy and autologous peripheral stem cell transplantation , 1997, Cancer.

[6]  F. Dimeo,et al.  Aerobic exercise as therapy for cancer fatigue. , 1998, Medicine and science in sports and exercise.

[7]  Michael J Thun,et al.  Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults. , 2003, The New England journal of medicine.

[8]  Chirk Jenn Ng,et al.  The use of text messaging to improve attendance in primary care: a randomized controlled trial. , 2006, Family practice.

[9]  S. Murphy,et al.  The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions. , 2007, American journal of preventive medicine.

[10]  C. Friedenreich,et al.  Physical activity and breast cancer risk: impact of timing, type and dose of activity and population subgroup effects , 2008, British Journal of Sports Medicine.

[11]  H. Cole-Lewis,et al.  Text messaging as a tool for behavior change in disease prevention and management. , 2010, Epidemiologic reviews.

[12]  Gretchen L. Gierach,et al.  Physical activity, sedentary behaviours, and the prevention of endometrial cancer , 2010, British Journal of Cancer.

[13]  A. McTiernan,et al.  Weight, physical activity, diet, and prognosis in breast and gynecologic cancers. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[14]  R. Whittaker,et al.  A Theory-Based Video Messaging Mobile Phone Intervention for Smoking Cessation: Randomized Controlled Trial , 2011, Journal of medical Internet research.

[15]  S. Michie,et al.  The behaviour change wheel: A new method for characterising and designing behaviour change interventions , 2011, Implementation science : IS.

[16]  G. Colditz,et al.  Physical activity and risk of colon adenoma: a meta-analysis , 2011, British Journal of Cancer.

[17]  D. Whiteman,et al.  Physical activity and cancer prevention: a systematic review of clinical trials , 2011, Cancer Causes & Control.

[18]  Ahmedin Jemal,et al.  Annual Report to the Nation on the status of cancer, 1975‐2008, featuring cancers associated with excess weight and lack of sufficient physical activity , 2012, Cancer.

[19]  A. Jemal,et al.  Cancer treatment and survivorship statistics, 2012 , 2012, CA: a cancer journal for clinicians.

[20]  Shelagh A. Mulvaney,et al.  Development and Feasibility of a Text Messaging and Interactive Voice Response Intervention for Low-Income, Diverse Adults with Type 2 Diabetes Mellitus , 2013, Journal of diabetes science and technology.

[21]  F. Schellevis,et al.  The effectiveness of text messages support for diabetes self-management: protocol of the TEXT4DSM study in the democratic Republic of Congo, Cambodia and the Philippines , 2013, BMC Public Health.

[22]  Suchitra Krishnan-Sarin,et al.  Text messaging-based smoking cessation intervention: a narrative review. , 2014, Addictive behaviors.

[23]  Parisa Rashidi,et al.  The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions , 2014, Journal of medical Internet research.

[24]  B. Suffoletto Text Message Behavioral Interventions: From Here to Where? , 2016, Current opinion in psychology.

[25]  Oksana Burford,et al.  Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences , 2016, PloS one.

[26]  Pamela W. McCoy,et al.  Text Messaging: An Intervention to Increase Physical Activity among African American Participants in a Faith-Based, Competitive Weight Loss Program , 2017, International journal of environmental research and public health.