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Bok Yae Chung1
, Eun Hee Oh2, Su Jeong Song3
, Eun Hee Oh2, Su Jeong Song3
Abstract
Purpose
The purpose of this study was to evaluate the effect of smart health care service in the breast cancer patients through a systematic review.
Methods
For the study, 10 studies were selected by using PubMed, ScienceDirect, ProQuest, CINAHL, RISS4U, KISS, DBpia and the National Assembly Library. The Risk of Bias Assessment Tool was used by two reviewers to evaluate independently the quality of the selected articles.
Results
10 studies for the analysis of the effect of smart health care service using mobile applications on breast cancer patients since 2000 were found. The purpose of mobile based intervention was to check whether post-operative outpatient follow up could be substituted with mobile apps to measure and monitor weight loss or weight management, sleep, mood, depression and mental state, exercise, uncertainty management and feedback.
Conclusion
Although mobile research is still limited, it may be sufficient to monitor the symptoms of breast cancer patients and to provide dietary and exercise interventions. This study suggests that various mobile apps can be used for breast cancer patients in various situations. Future study is recommended for repeated intervention studies on the effect of apps.
Figures and Tables
Table 1
Risk of Bias for RCT & NRCT
| Categories | Domain | Risk of bias | ||
|---|---|---|---|---|
| Unclear | Low | High | ||
| Randomized controlled trial studies18,19,20) | Random sequence generation | 1 | 1 | 1 |
| Allocation concealment | - | 3 | - | |
| Blinding of participants and personnel | 1 | 2 | - | |
| Blinding of outcome assessment | 1 | 2 | - | |
| Incomplete outcome data | - | 3 | - | |
| Selective reporting | - | 3 | - | |
| Other bias | - | 3 | - | |
| Non randomized controlled trial studies21,22,23,24,25,26) | Selection of participants | - | 1 | 5 |
| Confounding variables | 6 | - | - | |
| Measurement of exposure | - | 6 | - | |
| Blinding of the outcome assessments | - | 6 | - | |
| Incomplete outcome data | - | 6 | - | |
| Selective outcome reporting (reporting bias) | - | 6 | - | |
Table 2
General Characteristics of Studies
No= Reference number.; BC= Breast cancer; LC= Lung cancer; CRC= Colorectal cancer; OPD= Outpatient department; PA= Physical activity; QoL= Quality of life; BW= Body weight; UK= United kingdom; RCT= Randomized controlled trial; NRCt= Non-randomized controlled trial; Tx= Treatment ; Exp.= Experimental group; Cont.= Control group; App.= Application; F/U= Follow-up; VS= Versus; Qoc= Quality of care; ASyMS= Advanced symptom management system.
Table 3
General Characteristics of Application
| App. Type | Measurement | Development country | Development Year | Intervention | Appendix |
|---|---|---|---|---|---|
| Mobile App (QoC Health Inc)17) | Cost | Canada QoC Health Inc. | 2014 | Support postoperative care | |
| ASyMS18) | Chemotherapy related symptoms | UK (six Scotland/one England) | Before the Study | Management system (ASyMS©) on the incidence, severity and distress of six chemotherapy-related symptoms (nausea, vomiting, fatigue, mucositis, handfoot syndrome and diarrhoea) in patients with lung, breast or colorectal cancer | |
| mHealth ‘smart after care19) | Physical measurement, PA, QOL, user satisfaction | Korea BIT Computer Co., Ltd., Seoul, Korea | 2016 |
Governmental projects, Home health care services for gastric, colon cancer patient who receive chemotherapy after surgery The App let know patient what to do, diet control. |
http://www.monews.co.kr/news/articleView.html?idxno=94764 |
| mobile app20) | Daily functional activity, symptoms | Switzerland | Before the Study | A novel open-source mobile and Web app to record daily functional activity and adverse events. | app was made available in the Apple and Google Android stores free of charge |
| Dugun Dugun21) | Sleep satisfaction, mood, anxiety | Korea | 2012 | Data collection of sleep satisfaction, mood, anxiety and depression screening | A mobile application named ‘Dugun-Dugun’ (Pit a pat) was Developed by the Asan Medical Center, Department of Mental Health and Breast Endocrine Surgery and U-health team to evaluate the quality of life for breast cancer patients. |
| Uncertainty Intervention Program23) | Symptom, social support, uncertainty | Korea | 2013 | Data collection of diet, exercise, pain |
Language used in the apps program : PHP 5.2.16, jQuery 1.7.2, javascript Development tools : NetBeans 7.1, Photoshop CS5 Web browser test :IE7, IE8, IE9, FireFox, Chrome, Safari |
| Pit a Pat22,24,25) | Sleep satisfaction, mood, anxiety, compliance | Korea | 2012 | Data collection of sleep satisfaction, mood, anxiety and depression screening | =DugunDugun |
| mHealth (Fit bit app)26) | Body weight, diet, physical activity | Fitbit, Inc. | Before the Study | Set and manage goals such as number of steps, distance, and calories during the day Manage weight while checking calorie intake per day through the food record | https://www.fitbit.com/kr/devices |
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