scholarly journals Wearable-Based Mobile Health App in Gastric Cancer Patients for Postoperative Physical Activity Monitoring: Focus Group Study (Preprint)

2018 ◽  
Author(s):  
Jin-Ming Wu ◽  
Te-Wei Ho ◽  
Yao-Ting Chang ◽  
ChungChieh Hsu ◽  
Chia Jui Tsai ◽  
...  

BACKGROUND Surgical cancer patients often have deteriorated physical activity (PA), which in turn, contributes to poor outcomes and early recurrence of cancer. Mobile health (mHealth) platforms are progressively used for monitoring clinical conditions in medical subjects. Despite prevalent enthusiasm for the use of mHealth, limited studies have applied these platforms to surgical patients who are in much need of care because of acutely significant loss of physical function during the postoperative period. OBJECTIVE The aim of our study was to determine the feasibility and clinical value of using 1 wearable device connected with the mHealth platform to record PA among patients with gastric cancer (GC) who had undergone gastrectomy. METHODS We enrolled surgical GC patients during their inpatient stay and trained them to use the app and wearable device, enabling them to automatically monitor their walking steps. The patients continued to transmit data until postoperative day 28. The primary aim of this study was to validate the feasibility of this system, which was defined as the proportion of participants using each element of the system (wearing the device and uploading step counts) for at least 70% of the 28-day study. “Definitely feasible,” “possibly feasible,” and “not feasible” were defined as ≥70%, 50%-69%, and <50% of participants meeting the criteria, respectively. Moreover, the secondary aim was to evaluate the clinical value of measuring walking steps by examining whether they were associated with early discharge (length of hospital stay <9 days). RESULTS We enrolled 43 GC inpatients for the analysis. The weekly submission rate at the first, second, third, and fourth week was 100%, 93%, 91%, and 86%, respectively. The overall daily submission rate was 95.5% (1150 days, with 43 subjects submitting data for 28 days). These data showed that this system met the definition of “definitely feasible.” Of the 54 missed transmission days, 6 occurred in week 2, 12 occurred in week 3, and 36 occurred in week 4. The primary reason for not sending data was that patients or caregivers forgot to charge the wearable devices (>90%). Furthermore, we used a multivariable-adjusted model to predict early discharge, which demonstrated that every 1000-step increment of walking on postoperative day 5 was associated with early discharge (odds ratio 2.72, 95% CI 1.17-6.32; P=.02). CONCLUSIONS Incorporating the use of mobile phone apps with wearable devices to record PA in patients of postoperative GC was feasible in patients undergoing gastrectomy in this study. With the support of the mHealth platform, this app offers seamless tracing of patients’ recovery with a little extra burden and turns subjective PA into an objective, measurable parameter.

10.2196/11989 ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. e11989 ◽  
Author(s):  
Jin-Ming Wu ◽  
Te-Wei Ho ◽  
Yao-Ting Chang ◽  
ChungChieh Hsu ◽  
Chia Jui Tsai ◽  
...  

2021 ◽  
Vol 141 (2) ◽  
pp. 89-96
Author(s):  
Hsin-Yen Yen ◽  
Hao-Yun Huang

Aims: Wearable devices are a new strategy for promoting physical activity in a free-living condition that utilizes self-monitoring, self-awareness, and self-determination. The main purpose of this study was to explore health benefits of commercial wearable devices by comparing physical activity, sedentary time, sleep quality, and other health outcomes between individuals who used and those that did not use commercial wearable devices. Methods: The research design was a cross-sectional study using an Internet survey in Taiwan. Self-administered questionnaires included the International Physical Activity Questionnaire–Short Form, Pittsburgh Sleep Quality Index, Health-Promoting Lifestyle Profile, and World Health Organization Quality-of-Life Scale. Results: In total, 781 participants were recruited, including 50% who were users of wearable devices and 50% non-users in the most recent 3 months. Primary outcomes revealed that wearable device users had significantly higher self-reported walking, moderate physical activity, and total physical activity, and significantly lower sedentary time than non-users. Wearable device users had significantly better sleep quality than non-users. Conclusion: Wearable devices inspire users’ motivation, engagement, and interest in physical activity through habit formation. Wearable devices are recommended to increase physical activity and decrease sedentary behavior for promoting good health.


2018 ◽  
Author(s):  
Il-Young Jang ◽  
Hae Reong Kim ◽  
Eunju Lee ◽  
Hee-Won Jung ◽  
Hyelim Park ◽  
...  

BACKGROUND Community-dwelling older adults living in rural areas are in a less favorable environment for health care compared with urban older adults. We believe that intermittent coaching through wearable devices can help optimize health care for older adults in medically limited environments. OBJECTIVE We aimed to evaluate whether a wearable device and mobile-based intermittent coaching or self-management could increase physical activity and health outcomes of small groups of older adults in rural areas. METHODS To address the above evaluation goal, we carried out the “Smart Walk” program, a health care model wherein a wearable device is used to promote self-exercise particularly among community-dwelling older adults managed by a community health center. We randomly selected older adults who had enrolled in a population-based, prospective cohort study of aging, the Aging Study of Pyeongchang Rural Area. The “Smart Walk” program was a 13-month program conducted from March 2017 to March 2018 and included 6 months of coaching, 1 month of rest, and 6 months of self-management. We evaluated differences in physical activity and health outcomes according to frailty status and conducted pre- and postanalyses of the Smart Walk program. We also performed intergroup analysis according to adherence of wearable devices. RESULTS We recruited 22 participants (11 robust and 11 prefrail older adults). The two groups were similar in most of the variables, except for age, frailty index, and Short Physical Performance Battery score associated with frailty criteria. After a 6-month coaching program, the prefrail group showed significant improvement in usual gait speed (mean 0.73 [SD 0.11] vs mean 0.96 [SD 0.27], P=.02), International Physical Activity Questionnaire scores in kcal (mean 2790.36 [SD 2224.62] vs mean 7589.72 [SD 4452.52], P=.01), and European Quality of Life-5 Dimensions score (mean 0.84 [SD 0.07] vs mean 0.90 [SD 0.07], P=.02), although no significant improvement was found in the robust group. The average total step count was significantly different and was approximately four times higher in the coaching period than in the self-management period (5,584,295.83 vs 1,289,084.66, P<.001). We found that participants in the “long-self” group who used the wearable device for the longest time showed increased body weight and body mass index by mean 0.65 (SD 1.317) and mean 0.097 (SD 0.513), respectively, compared with the other groups. CONCLUSIONS Our “Smart Walk” program improved physical fitness, anthropometric measurements, and geriatric assessment categories in a small group of older adults in rural areas with limited resources for monitoring. Further validation through various rural public health centers and in a large number of rural older adults is required.


2018 ◽  
Vol 2 (1) ◽  
pp. 47-63 ◽  
Author(s):  
Pronabesh DasMahapatra ◽  
Emil Chiauzzi ◽  
Rishi Bhalerao ◽  
Jane Rhodes

2020 ◽  
Author(s):  
Zhaohui Geng ◽  
Li Ning ◽  
Lingzhi Cai ◽  
Ying Liu ◽  
Jingting Wang ◽  
...  

BACKGROUND Physical activity (PA), known as a modifiable protective factor, provides an approach to sustain physical and psycho-social health for breast cancer patients both during and after treatment. Mobile health (mHealth) application targeted promoting health behaviors demonstrates advantages in behavior tracking, knowledge sharing and social connecting and tailored intervention. However, process of mHealth application (App) development is lack of theoretical basis, restricting its sustainable benefits to cancer survivors. OBJECTIVE To construct a theory-based mHealth PA intervention program, and to determine whether this intervention would improve PA behavior change during chemotherapy for breast cancer patients, thus to capture their perspectives and experiences when participate it. METHODS Social cognitive theory (SCT), self-efficacy theory (SET) and the theory of planned behavior (TPB) are referred to construct mHealth intervention strategies. Smartphone application was chosen to implement a pre-post three-month PA intervention. A mixed method was utilized to test the preliminary effectiveness of MPAP. Quantitative results from online records and self-reported questionnaires were collected after intervention. Qualitative feedback through telephone interviewing was recorded to explore patients’ using experiences. RESULTS “Breast care” smartphone application was developed to improve self-management of breast cancer patients including PA. In the end, five main pages covering 6 functions (information delivering, disease tracking, events reminding based on calendar, online interaction, health behavior recording and self-reported assessment) were displayed in the app. In the preliminary evaluation process, twenty participants were recruited. Based on PA capability assessment and baseline PA evaluation, 12 patients were divided into active group, and 8 patients were grouped in sedentary lifestyle. Within three months, participants’ usage behavior identified at portal site indicated the accumulated app usage time is 40 minutes a week, and average login time of each participant was three times a week. The total PA increased 945.70 MET-min/w with a significant improvement(p=0.040) after 3 months. Walking displayed a significant improvement after intervention (904.20 MET-min/w) (p=0.030). Sedentary mean time declined 210 mins/w. Qualitative results showed satisfaction and willingness of breast cancer patients to use app to manage PA and relevant health behaviors. CONCLUSIONS The theory-based mHealth PA intervention has great potential to enhance breast cancer patients’ PA awareness and engagement, meanwhile to facilitate their PA behavior change.


2021 ◽  
Author(s):  
Yoshinaga Okugawa ◽  
Yuji Toiyama ◽  
Chengzeng Yin ◽  
Ma Ruiya ◽  
Akul Goel ◽  
...  

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