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Published on 29.10.18 in Vol 20, No 10 (2018): October

Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/9559, first published Dec 04, 2017.

This paper is in the following e-collection/theme issue:

    Original Paper

    A Mobile Game for Patients With Breast Cancer for Chemotherapy Self-Management and Quality-of-Life Improvement: Randomized Controlled Trial

    1Department of Internal Medicine, College of Medicine, Chung-Ang University, Seoul, Republic Of Korea

    2Department of Psychiatry, College of Medicine, Chung-Ang University, Seoul, Republic Of Korea

    3Department of Surgery, College of Medicine, Chung-Ang University, Seoul, Republic Of Korea

    Corresponding Author:

    Doug Hyun Han, MD, PhD

    Department of Psychiatry

    College of Medicine

    Chung-Ang University

    224-1 Heukseok-dong

    Dongjak-gu

    Seoul,

    Republic Of Korea

    Phone: 82 2 6299 3132

    Fax:82 2 6299 2064

    Email: hduk70@gmail.com


    ABSTRACT

    Background: The application of game-based learning in clinical practice has shown potential advantages in previous studies. However, there have been little efforts to use smartphone-based mobile games in the management of adult patients with cancer.

    Objective: The objective of our study was to evaluate if patient education using a mobile game may increase drug compliance, decrease physical side effects of chemotherapy, and improve psychological status in breast cancer patients.

    Methods: A total of 76 patients with metastatic breast cancer who were planned to receive cytotoxic chemotherapy were enrolled in this trial. Study participants were randomly assigned to a mobile game play group (game group, n=36) or a conventional education group (control group, n=40) in a ratio of 1:1. The patients were unblinded and followed prospectively for 3 weeks. Outcome measures included time spent for education, compliance to medication, physical side effects, and psychological side effects including quality of life (QoL).

    Results: Overall, 72 out of 76 patients completed the study after 3 weeks (95%). The subjects in the game group showed high levels of satisfaction with the app. The time spent playing the mobile game in the game group was longer than that spent for self-education in the control group (mean 22.2, SD 6.1 vs mean 5.5, SD 4.0 minutes a day; P<.001). The mobile game group showed better drug adherence (Korean version of the Medication Adherence Rating Scale; mean 7.6, SD 0.7 vs mean 6.5, SD 0.5; P<.001). The use of the mobile game was associated with lower rates of chemotherapy-related side effects, such as nausea, fatigue, numbness of hand or foot, and hair loss, than the control group. The game group exhibited better QoL during chemotherapy (mean 74.9, SD 3.5 vs mean 72.2, SD 5.3; P=.01). However, there were no significant differences in terms of depression and anxiety scales.

    Conclusions: This study suggests the feasibility and potentiality of the use of smartphone mobile games for patients with breast cancer receiving chemotherapy. Education using a mobile game led to better patient education, improved drug compliance, decreased side effects, and better QoL compared with conventional education. Mobile games can be used as easy, fun, and effective measures for patient education and have the potential to improve treatment outcomes.

    Trial Registration: ClinicalTrials.gov NCT03205969; http://clinicaltrials.gov/ct2/show/NCT03205969 (Archived by WebCite at http://www.webcitation.org/71jfSBOq9).

    J Med Internet Res 2018;20(10):e273

    doi:10.2196/jmir.9559

    KEYWORDS



    Introduction

    Playing console and Web-based games is a popular free-time activity among children, adolescents, and adults [1]. Recent studies with health-related internet games have shown positive effects, such as improving coping strategies for health problems, strengthening treatment compliance, and increasing motivation to overcome the difficult times during illness [2]. Potential benefits of using computer-based patient education programs include increased patient knowledge in perceived information competence [3]. Game-based learning may be enjoyable, interesting, and immersive and therefore, more effective than classical learning [4]. Patient education has shown to be effective in the management of patients with teenage cancer, diabetes, and asthma [2]. However, there have been limited studies conducted in adults.

    Chemotherapy is the main treatment for breast cancer, which has proven to reduce the rate of recurrence and mortality in breast cancer patients [5]. Chemotherapy is accompanied by significant side effects. Consequently, many cancer survivors experience physical and psychological symptoms that hamper their quality of life (QoL) and disrupt their daily living activities, family relationships, and work schedules [6]. Diarrhea, nausea, vomiting, hair loss, and mucositis are among the most common side effects [7]. These side effects may cause poor drug compliance, prohibiting successful anticancer treatment. Poor education is one of the main determinants of poor adherence to chemotherapy [8]. Therefore, proper education and sufficient communication are important to increase adherence, which may eventually contribute to improved clinical outcomes [9,10].

    An easily accessible, immersive, and interactive Web-based game (ILOVEBREAST) was developed for adult patients with metastatic breast cancer. Although previous efforts using games were mostly focused on children, adolescents, or young adults, ILOVEBREAST is specifically designed for adult users. This study was a proof-of-concept randomized controlled trial aimed at evaluating the benefits of smartphone-based mobile game use in breast cancer patients receiving cytotoxic chemotherapy. We hypothesized that mobile gaming would lead to increased drug compliance, decreased physical side effects of chemotherapy, and improved psychological status among patients.


    Methods

    Patients

    Patients with pathologically proven, clinical stage IV breast cancer were enrolled in this study at Chung-Ang University Hospital, Korea, from September 2013 to September 2014. Patients who had metastatic breast cancer and agreed to participate in an education-controlled trial of mobile game management were screened with the research and the patient edition version of Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision Axis I Disorders [11]. The inclusion criteria were as follows: females diagnosed with metastatic breast cancer, aged 18-65 years, use of at least third-line palliative chemotherapy treatment comprising taxanes, anthracyclines, capecitabine, and platinum compounds, and ability to use a smartphone for the mobile game. The exclusion criteria were as follows: current or history of uncontrolled medical diseases except for breast cancer, psychiatric diseases, including major depressive disorder and anxiety disorders, and history of substance abuse, including alcohol, nicotine, and drugs. Major depressive disorder and anxiety disorder were diagnosed based on the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision, the authoritative guide to the diagnosis of mental disorders published by American Psychiatric Association [12].

    The Chung-Ang University Hospital Institutional Review Board approved the research protocol for this study (Number C20141447). Informed consent was obtained from all patients during hospitalization for chemotherapy after explaining the design, protocol, and consequences of the study (NCT03205969).

    Description of the Mobile Game

    A mobile game, ILOVEBREAST (CLGAMES, Seoul, Korea), was developed with an intention to improve self-management and to reduce the side effects of chemotherapy drugs. The ILOVEBREAST program used in this study was a 3-week program using typical multiplayer, social network, and platform-based features. The game’s key pedagogical features were as follows: education for preventing side effects of anticancer drugs, support for the prevention of side effects of anticancer drugs including numbness, hair loss, and loss of appetite, encouragement of mood and activity, including exercise, pet walking, cooking, and social game playing, which may facilitate participation in such activities in real life, and self-assessment using a personal avatar, as seen in Figure 1.

    At the start of game play, an avatar is generated based on the patient’s medical information including the status of blood components, general medical condition, and chemotherapeutic drugs. Avatars are to visit their home, pharmacy, hospital, and gymnasium; make purchases from shops; and operate a farm to harvest ingredients for food. They can receive prescribed medications, cook food appropriate for their health, and exercise. Depending on the patient’s medication dosage, avatars can pursue a quest to minimize the side effects. The quest consists of taking the medication at the right time, cooking a meal for oneself, exercising, going outside for a walk, and chatting with a friend. An alarm alerts the avatar to take medications timely. Each time the avatar accomplishes a quest, “heart coins” are rewarded. The greater the number of the coins the patient receives, the greater the improvement in the avatar’s health status. The avatar can then use these coins to purchase items such as hats, gloves, and food ingredients. Patients are asked to visit their doctor weekly to assess their health status.

    Figure 1. Representative screenshots of the ILOVEBREAST game. Source and copyright: Industry Academic Cooperation Foundation, Chung-Ang University Hospital.
    View this figure

    Study Procedure

    This study was a 3-week prospective trial. All study participants received a combination of 4 chemotherapy drugs (taxanes, anthracyclines, capecitabine, and cisplatin). Patients were randomly assigned to education using mobile game play (game group) or conventional education (control group) utilizing an interactive Web randomization system.

    For patients in the game group, the study mobile game (ILOVEBREAST) was installed on the participants’ smartphones. They were recommended to play the game for >30 minutes a day, 3 times per week. They were interviewed every week via cell phone until the end of the study. The patients in the game group were checked with the record of access to the ILOVEBREAST game. The patients in the control group received routine care. A brochure elaborating the coping strategies for the side effects of chemotherapy drugs was provided to the control group only. The 26-page education material consisted of 2 parts. Part 1 provided the overall guidelines relating to life patterns, definition and purpose of chemotherapy, and broad side effects of chemotherapy. Part 2 contained individualized educational material comprising each patient’s purpose for chemotherapy, the name of the anticancer drugs, chemotherapy schedule, individualized management of side effects and symptoms, and guidance for daily life and mental attitude. The subjects in the control group were recommended to read the material for >30 minutes a day, 3 times per week. The patients in the game group were requested to rate the level of satisfaction using the following 8 questions:

    1. What percentage of game content do you use while playing the game?
    2. Is the game difficult to play?
    3. Is the game fun?
    4. Is the game helpful for taking your medication?
    5. Does the game provide you with information about breast cancer and treatment?
    6. Does the game decrease your unease with chemotherapy?
    7. Do you plan to play ILOVEBREAST during your next chemotherapy session?
    8. Would you recommend ILOVEBREAST to other patients with breast cancer?

    The questions were assessed using a self-reported scale of 10 levels with 10 indicating “very bad” to 100 indicating “very good.”

    Trial outcomes were measured in the following 4 domains: time spent for education, compliance to medication, physical side effects, and psychological side effects including QoL. Education time was measured as either the time spent for game playing or self-education using the brochure with preventive measures. The manufacturer (CLGAMES, Seoul, Korea) provided the time the users spent playing the mobile game. Medication compliance was assessed with the Korean version of the Medication Adherence Rating Scale (K-MARS), which has a Cronbach reliability alpha of .71 [13].

    Physical and psychological side effects were assessed at baseline and the end of the 3-week follow-up period using questionnaires [7]. The questionnaires for the presence and severity of side effects (ie, nausea, fatigue, decreased appetite, numbness on hand or foot, stomatitis, diarrhea or constipation, hair loss, and skin rash) were measured using a 5-point Likert scale. Questionnaires for psychological assessment included the Beck Depression Inventory (BDI) with a Cronbach reliability alpha of .83 [14], the Spielberger State-Trait Anxiety Scale with alpha of .84 [15], and the World Health Organization Quality of Life-BREF Scale with alpha of .87 [16]. BDI is one of the most widely used self-reported scales to assess the severity of depressive mood and consists of 21 multiple-choice [14] questions. The Spielberger State-Trait Anxiety Scale has 20 items each to measure trait anxiety and state anxiety [17]. State anxiety means a temporary response to perceived threats, whereas trait anxiety refers to a consistent personality trait to experience anxiety. For this study, only state anxiety was measured because we intended to measure short-term response related to chemotherapy [15]. The World Health Organization Quality of Life-BREF Scale is an abbreviated generic Quality of Life Scale developed through the World Health Organization and consists of 26 items in the following 4 domains: physical health, psychosocial health, social relationships, and environment [16].

    Statistics

    Because this study was a proof-of-concept trial, the sample size calculation was done on a practical basis. In the center where this study was undertaken, an average of 200 patients receives cytotoxic chemotherapy in a month. We assumed approximately 30 patients a month would meet the inclusion and exclusion criteria of this study and planned to recruit 90 patients for 3 months. Patient enrollment was slower than expected, and we decided to stop enrollment 1 year after the initiation of the study.

    Continuous variables were presented as mean (SD), and categorical variables were presented as counts and percentages. Continuous variables were compared with independent t tests or Mann-Whitney U-tests as appropriate. The Chi-square test or Fisher’s exact test was used for dichotomous variables. For all statistical analyses, the significance level alpha was set at.05, and all analyses were performed using SPSS 18.0 (Chicago, IL, USA).


    Results

    Demographic Characteristics

    A flow diagram of the study is shown in Figure 2. A total of 83 patients with metastatic breast cancer agreed to participate in the study. Among them, 2 were excluded because of severe depressive and anxiety symptoms, 4 for having difficulties in using the mobile game, and 1 for withdrawal of consent for an unspecified reason. Among the 76 female patients who were finally enrolled, 36 and 40 were randomly assigned to the mobile game and control groups, respectively. After 3 weeks of the study duration, 34 and 38 patients in each group completed the study (94.7%).

    The baseline characteristics of the study subjects are summarized in Table 1. The mean age was 50.9 (SD 7.0) years, and all the patients were female. All the participants had an Eastern Cooperative Oncology Group performance status between 0 and 2. There were no significant differences in demographics status and socioeconomic status, pathologic classification, and hormonal status between the 2 groups.

    Overall Satisfaction

    The patients in the game group were requested to assess their level of satisfaction with ILOVEBREAST, as seen in Figure 3. Patients in the game group played 41% of the game contents (quests, level ups, and rewards), and more than half responded that it was difficult to use (20/36, 56%). However, 67% (24/36) and 61% (22/36) of the patients responded that the game was fun and helpful in taking their medications, respectively. Approximately ¾ of patients (27/36) responded positively in terms of acquisition of information (74.4%), usefulness in overcoming chemotherapy side effects (73.9%), and willingness to play again (72.2%). Furthermore, approximately 81% reported they would recommend the game to other patients with breast cancer.

    Figure 2. CONSORT study flow diagram.
    View this figure
    Table 1. Demographic data.
    View this table

    Study Endpoints

    The time spent on game playing in the mobile game group was higher than that spent for self-education in the control group (22.2, SD 6.1 vs 5.5, SD 4.0 minutes; P<.001; Table 2). The game group also showed improved compliance to medications compared with the control group (K-MARS score, 7.6, SD 0.7 vs 6.5, SD 0.5; P<.001). The patients in the study group reported lower rates of physically adverse events, such as nausea (P=.02), fatigue (P=.02), and numbness in the hand or foot (P=.02). Clinically significant adverse events, defined by grade ≥3 of Common Terminology Criteria for Adverse Events 3.0, including nausea (P=.02), fatigue (P=.002), and hair loss (P=.01) was shown to be lower in the game group.

    After the study period of 3 weeks, the game group showed a higher QoL than in the control group, as seen in Table 3 and Figure 4. The decrease in the QoL score was also significantly lower in the game group than in the control group (P=.01). Regarding the subitems of QoL, the use of the mobile game was associated with lower decreases in physical health and environment but a higher decrease in psychological health than the usual care. There were no significant differences in the BDI score or state anxiety scale between the 2 groups.

    Figure 3. Levels of satisfaction in ILOVEBREAST.
    View this figure
    Table 2. Comparison of physically adverse events between study groups.
    View this table
    Table 3. Comparison of psychological side effects between study groups.
    View this table
    Figure 4. Psychological adverse events: (A) quality of life, (B) Beck’s depression index, and (C) state anxiety. *: P<.05.
    View this figure

    Discussion

    Principal Findings

    The mobile game ILOVEBREAST was developed to help patients with advanced breast cancer learn more about the disease course, properties of medications, and expected adverse drug reactions. Adults users were generally satisfied with the game app. The mobile game-based intervention improved patient compliance, decreased the prevalence of physical side effects, and maintained the patients’ QoL compared with the conventional care. The use of the game had no impact on psychological side effects including mood and anxiety.

    Improved Drug Compliance

    The patients in the study group used approximately 40% of the game contents, and the overall satisfaction was acceptable. Notably, a high proportion of the patients expressed a willingness to play the game again at their next chemotherapy session and to recommend the game to other patients. In addition, education time and drug adherence were significantly higher in the game group than in the control group. The quests for taking medication and reminder alarms in the game may have contributed to improving patients’ knowledge of the disease, medication, and adverse events. Previous studies have shown that knowledge about the disease course and adverse drug events is closely linked to patient drug adherence [18]. Since the release of the “Re-Mission” titles, which showed good adherence to treatments and easy access to knowledge, from HopeLab in California, the use of computer games in health education and physical education has been considered to have positive effects [19]. Some video games have also been used as vehicles to transmit health education regarding fire and street safety, and self-management of diabetes and asthma [20,21]. Although most health education games have focused on children, adolescents, and young adults [22-25], this study implies that adults can also utilize and benefit from game-based learning if the contents are specifically designed for them.

    Physical Side Effects and Quality of Life

    The ILOVEBREAST game presents an avatar that can prevent side effects of numbness and hair loss by purchasing gloves or hats. The users are rewarded for continuous medication use, and they can chat with other players who have the same disease and difficulties. The player can buy food ingredients and learn how to cook and prepare healthy diets. We assume that such activities resulted in decreased prevalence and severity of the physical side effects in the game group. Twitter, as a complementary method, was shown to be effective in increasing knowledge about overall disease course, survivorship, cancer types and biology, and treatment options in patients with breast cancer in a previous study [26]. The Web-based game properties of immersivity, attention-maintaining properties of stories, engaging properties of interactivity, and behavior-change technology may improve health-related behaviors and habits in patients with breast cancer [27]. Several video games have been created to distract people from acute or chronic pain. The “Re-Mission” from HopeLab in California is the most representative mobile game that has these positive effects [19].

    The mobile game group in this study showed a higher QoL in various domains, including total health, physical health, psychological health, and environmental areas. Pompeu et al reported improved QoL in 7 patients with Parkinson disease by a game named Kinect Adventures! (Xbox 360, Microsoft Game Studios, United States) [28]. Reichlin et al also reported an improvement in the QoL in 13 patients with localized prostate cancer after playing an interactive game, Time After Time (AMIGO, Gigamic, Piatnik, Playroom Entertainment, Germany) [29].

    However, we observed no improvement in the psychological effects in this study. Chen et al reported that pediatric patients with obesity who played educational games for about 10 weeks-2 years improved their psychosocial functions, including depression, self-efficacy, and self-esteem [30]. One possible explanation is the short study duration (ie, 3 weeks) of this research. The age of the participants may be another factor. Unlike children and adolescents, older patients may have a lower propensity to have interest in playing a game.

    Study Limitations

    The major limitation of this study is the small sample size and the short study period. Future studies are needed to confirm which patients most benefit from the strategy using mobile games and whether the benefits may lead to an improvement in hard endpoints such as mortality or recurrence. Next, adverse events related to chemotherapy were assessed subjectively. Objective assessments such as scales, blood tests, or laboratory tests may better describe the adverse effects of chemotherapy. Also, this study reflects the difficulty when using games for adult patients. Although the patients generally expressed satisfaction, the users experienced only a limited amount of the contents, and more than half had difficulty using the app. We believe this fact provides an important lesson for future developers.

    Conclusion

    A mobile game, ILOVEBREAST, was helpful in educating adult patients with breast cancer receiving cytotoxic chemotherapy. The game was associated with improved drug compliance, decreased prevalence rates of physical side effects, and better QoL. Patient education with smartphone mobile games can be used as an easy, fun, and effective measure to promote treatment adherence, which may potentially lead to improved survival.

    Acknowledgments

    This research study was supported by a grant of Nexon 2014 and a grant from the Korea Creative Content Agency, Ministry of Culture, Sports and Tourism (2013040436).

    Conflicts of Interest

    None declared.

    Multimedia Appendix 1

    CONSORT-EHEALTH checklist ( V1.6.1).

    PDF File (Adobe PDF File), 90KB

    References

    1. Mumtaz S. Children's enjoyment and perception of computer use in the home and the school. Computers & Education 2001 May 4;36(4):347-362 [FREE Full text] [CrossRef]
    2. Primack BA, Carroll MV, McNamara M, Klem ML, King B, Rich M, et al. Role of video games in improving health-related outcomes: a systematic review. Am J Prev Med 2012 Jun;42(6):630-638 [FREE Full text] [CrossRef] [Medline]
    3. Ryhänen AM, Siekkinen M, Rankinen S, Korvenranta H, Leino-Kilpi H. The effects of Internet or interactive computer-based patient education in the field of breast cancer: a systematic literature review. Patient Educ Couns 2010 Apr;79(1):5-13. [CrossRef] [Medline]
    4. Oblinger D. The Next Generation of Educational Engagement. JIME 2004 May 21;2004(1):10 [FREE Full text] [CrossRef]
    5. Chia SK, Speers CH, D'yachkova Y, Kang A, Malfair-Taylor S, Barnett J, et al. The impact of new chemotherapeutic and hormone agents on survival in a population-based cohort of women with metastatic breast cancer. Cancer 2007 Sep 01;110(5):973-979 [FREE Full text] [CrossRef] [Medline]
    6. Von Ah D, Habermann B, Carpenter JS, Schneider BL. Impact of perceived cognitive impairment in breast cancer survivors. Eur J Oncol Nurs 2013 Apr;17(2):236-241. [CrossRef] [Medline]
    7. Hahn T, Wall D, Camitta B, Davies S, Dillon H, Gaynon P, et al. The role of cytotoxic therapy with hematopoietic stem cell transplantation in the therapy of acute lymphoblastic leukemia in children: an evidence-based review. Biol Blood Marrow Transplant 2005 Nov;11(11):823-861 [FREE Full text] [CrossRef] [Medline]
    8. Sedjo RL, Devine S. Predictors of non-adherence to aromatase inhibitors among commercially insured women with breast cancer. Breast Cancer Res Treat 2011 Jan;125(1):191-200. [CrossRef] [Medline]
    9. Osterberg L, Blaschke T. Adherence to medication. N Engl J Med 2005 Aug 4;353(5):487-497. [CrossRef] [Medline]
    10. Bhatia S, Landier W, Hageman L, Kim H, Chen Y, Crews KR, et al. 6MP adherence in a multiracial cohort of children with acute lymphoblastic leukemia: a Children's Oncology Group study. Blood 2014 Oct 09;124(15):2345-2353 [FREE Full text] [CrossRef] [Medline]
    11. First M, Spitzer R, Gibbon M, Williams J. Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I), Clinician Version, Administration Booklet. Arlington: American Psychiatric Publishing, Incorporated; 1997.
    12. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR). Arlington: American Psychiatric Publishing, Incorporated; 2000.
    13. Jhin-Goo C, Daeyoung R, Chan-Hyung K. The Reliability and Validity of the Korean Version of Medication Adherence Rating Scale. Korean J Psychopharmacol. Korean J Psychopharmacol 2015;26(2):43-49.
    14. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry 1961 Jun;4:561-571. [Medline]
    15. Charles S, Richard G, Robert L, Vagg PR, Gerard J. Manual for the State-Trait Anxiety Inventory. Arlington: Consulting Psychologists Press, Inc; 1983.
    16. Min SK, Kim KI, Lee CI, Jung YC, Suh SY, Kim DK. Development of the Korean versions of WHO Quality of Life scale and WHOQOL-BREF. Qual Life Res 2002 Sep;11(6):593-600. [Medline]
    17. Spielberger C, Gorsuch R, Lushene R, Vagg P, Jacobs G. Manual for the State-Trait Anxiety Inventory. Arlington: Consulting Psychologists Press, Inc; 1983.
    18. Zhao S, Zhao H, Wang L, Du S, Qin Y. Education is critical for medication adherence in patients with coronary heart disease. Acta Cardiol 2015 Apr;70(2):197-204. [CrossRef] [Medline]
    19. Kato PM, Cole SW, Bradlyn AS, Pollock BH. A video game improves behavioral outcomes in adolescents and young adults with cancer: a randomized trial. Pediatrics 2008 Aug;122(2):e305-e317 [FREE Full text] [CrossRef] [Medline]
    20. Brown SJ, Lieberman DA, Germeny BA, Fan YC, Wilson DM, Pasta DJ. Educational video game for juvenile diabetes: results of a controlled trial. Med Inform (Lond) 1997;22(1):77-89. [Medline]
    21. Bartholomew LK, Gold RS, Parcel GS, Czyzewski DI, Sockrider MM, Fernandez M, et al. Watch, Discover, Think, and Act: evaluation of computer-assisted instruction to improve asthma self-management in inner-city children. Patient Educ Couns 2000 Feb;39(2-3):269-280. [Medline]
    22. Capel S, Whitehead M. The use of information and communication technology in physical education. In: Learning to Teach Physical Education in the Secondary School: A Companion to School Experience. Abingdon-on-Thames: Taylor & Francis, Inc; 2010.
    23. Casazza K, Ciccazzo M. Improving the dietary patterns of adolescents using a computer-based approach. J Sch Health 2006 Feb;76(2):43-46. [CrossRef] [Medline]
    24. Coles CD, Strickland DC, Padgett L, Bellmoff L. Games that "work": using computer games to teach alcohol-affected children about fire and street safety. Res Dev Disabil 2007;28(5):518-530. [CrossRef] [Medline]
    25. Neuhauser L, Kreps GL. Rethinking Communication in the E-health Era. J Health Psychol 2003 Jan;8(1):7-23. [CrossRef] [Medline]
    26. Attai DJ, Cowher MS, Al-Hamadani M, Schoger JM, Staley AC, Landercasper J. Twitter Social Media is an Effective Tool for Breast Cancer Patient Education and Support: Patient-Reported Outcomes by Survey. J Med Internet Res 2015;17(7):e188 [FREE Full text] [CrossRef] [Medline]
    27. Baranowski T, Buday R, Thompson DI, Baranowski J. Playing for real: video games and stories for health-related behavior change. Am J Prev Med 2008 Jan;34(1):74-82 [FREE Full text] [CrossRef] [Medline]
    28. Pompeu JE, Arduini LA, Botelho AR, Fonseca MBF, Pompeu SMAA, Torriani-Pasin C, et al. Feasibility, safety and outcomes of playing Kinect Adventures!™ for people with Parkinson's disease: a pilot study. Physiotherapy 2014 Jun;100(2):162-168. [CrossRef] [Medline]
    29. Reichlin L, Mani N, McArthur K, Harris AM, Rajan N, Dacso CC. Assessing the acceptability and usability of an interactive serious game in aiding treatment decisions for patients with localized prostate cancer. J Med Internet Res 2011 Jan 12;13(1):e4 [FREE Full text] [CrossRef] [Medline]
    30. Chen J, Wilkosz ME. Efficacy of technology-based interventions for obesity prevention in adolescents: a systematic review. Adolesc Health Med Ther 2014;5:159-170 [FREE Full text] [CrossRef] [Medline]


    Abbreviations

    BDI: Beck Depression Inventory
    K-MARS: Korean version of the Medication Adherence Rating Scale
    QoL: quality of life


    Edited by G Eysenbach; submitted 04.12.17; peer-reviewed by L Lam, JL Chen, M Shiyko; comments to author 18.03.18; revised version received 23.06.18; accepted 10.07.18; published 29.10.18

    ©Hee Jun Kim, Sun Mi Kim, Heechul Shin, Joung-Soon Jang, Young In Kim, Doug Hyun Han. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 29.10.2018.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.