Mobile health-based gamification intervention to increase physical activity participation among patients with coronary heart disease: study protocol of a randomised controlled trial

Scoping Review of Gamification in Rehabilitation Care of Adults With Chronic Illnesses

BACKGROUND

Gamification uses game-based mechanics, aesthetics, and game thinking to engage people, motivate action, promote learning, and solve problems. However, gaps remain in understanding and implementing gamification in rehabilitation care, necessitating further exploration and clarification of the best evidence for application of gamification.

OBJECTIVE

To conduct a scoping review of the use of gamification in rehabilitation care for adults with chronic illnesses, summarizing the scope, forms, elements, guiding theories, effectiveness, and ease of use of gamification.

METHODS

Eight databases in English or Chinese were searched from January 1, 2011 to May 20, 2024 following the standard scoping review framework.

RESULTS

A total of 24 papers were included. Gamification was applied in the rehabilitation of endocrine, skeletal, circulatory, neurological, and cerebrovascular diseases, primarily using virtual reality and three-dimensional forms. Eight gamification elements were most commonly utilized. Positive outcomes included enhanced rehabilitation knowledge, improved attitudes, better physical function, and increased self-care ability. Most patients found gamified rehabilitation care engaging and easy to use.

DISCUSSION

The application of gamification in adult chronic disease rehabilitation care shows great promise. However, the lack of theory-driven or longitudinal data in some studies highlights the need for more randomized controlled and longitudinal research to explore the effectiveness of gamified intervention.

Impact of family-oriented gamification on self-management of people with multiple sclerosis: a mixed-methods study protocol

INTRODUCTION

Multiple sclerosis (MS) is a chronic disease of the central nervous system that impacts millions worldwide, including individuals in Iran. It primarily affects young people, leading to biopsychosocial challenges with unpredictable symptoms. Self-management is crucial but challenging due to the lack of definitive treatment. New approaches, such as mHealth interventions, particularly gamification, aim to engage patients more effectively. Well-designed gamification may positively impact health behaviours and enhance collaborative care. However, its implementation in the field of MS in Iran is currently limited. So far, some mobile applications have been designed that do not incorporate gamification principles and only focus on one issue. These applications also fail to consider the family caregivers' understanding of the patient's condition. Therefore, this study aims to investigate the impact of family-oriented gamification on the self-management of Iranian patients with MS.

METHODS AND ANALYSIS

We propose a mixed-methods study with an exploratory sequential design consisting of a qualitative phase, gamification development and a dual-centre, prospective, single-blinded, parallel-group randomised controlled superiority trial. In the qualitative phase, data will be collected through purposive sampling via semistructured interviews with patients until data saturation is reached. Concurrently, the data will be analysed using conventional content analysis to provide insights into the patients' self-management challenges. Next, web-based and card gamification will be developed for patients and their families based on the findings of the qualitative phase. Ultimately, the effectiveness of these interventions will be evaluated through a randomised controlled trial. The preliminary literature suggests an initial sample size of 25-30 participants per group for this phase. After enrolling approximately 10 participants, the exact sample size will be recalibrated using G-Power software based on data analysis. Participants will then be randomly assigned to either the intervention or control group in a 1:1 ratio. Allocation concealment will be ensured using mixed block sizes of 2 and 4. The primary outcome, self-management, and the secondary outcome, self-efficacy, will be assessed both before and immediately after the intervention. Furthermore, the usability of the two gamification strategies will be evaluated following the intervention.

ETHICS AND DISSEMINATION

This study is part of a doctoral thesis approved by the Tehran University of Medical Sciences Research Ethics Board (IR.TUMS.FNM.REC.1401.185, 23 February 2023). Dissemination of findings will occur at the local, national and international levels.

TRIAL REGISTRATION NUMBER

IRCT20240116060708N1.

Smartphone-based gamification intervention to increase physical activity participation among patients with coronary heart disease: A randomized controlled trial

INTRODUCTION

Despite proven benefits, patients with coronary heart disease (CHD) typically fail to participate in sufficient physical activity (PA). Effective interventions should be implemented to help patients maintain a healthy lifestyle and modify their present behavior. Gamification is the use of game design features (such as points, leaderboards, and progress bars) to improve motivation and engagement. It shows the potential for encouraging patients to engage in PA. However, empirical evidence on the efficacy of such interventions among patients with CHD is still emerging.

PURPOSE

The aim of the study is to explore whether a smartphone-based gamification intervention could increase PA participation and other physical and psychological outcomes in CHD patients.

METHODS

Participants with CHD were randomly assigned to three groups (control group, individual group, and team group). The individual and team groups received gamified behavior intervention based on behavioral economics. The team group combined gamified intervention with social interaction. The intervention lasted for 12 weeks, and the follow-up was12 weeks. The primary outcomes included the change in daily steps and the proportion of patient days that step goals were achieved. The secondary outcomes included competence, autonomy, relatedness, and autonomous motivation.

RESULTS

For the individual group, smartphone-based gamification intervention significantly increased PA among CHD patients over the 12-week period (step count difference 988; 95% CI 259-1717; p < 0.01) and had a good maintenance effect during the follow-up period (step count difference 819; 95% CI 24-1613; p < 0.01). There are also significant differences in competence, autonomous motivation, body mass index (BMI), and waist circumference in 12 weeks between the control group and individual group. For the team group, gamification intervention with collaboration didn't result in significant increases in PA. But patients in this group had a significant increase in competence, relatedness, and autonomous motivation.

CONCLUSION

A smartphone-based gamification intervention was proven to be an effective way to increase motivation and PA engagement, with a substantial maintenance impact (Chinese Clinical Trial Registry Identifier: ChiCTR2100044879).

Efficacy of a Mobile Health App (eMOTIVA) Regarding Compliance With Cardiac Rehabilitation Guidelines in Patients With Coronary Artery Disease: Randomized Controlled Clinical Trial

BACKGROUND

Cardiac rehabilitation is fundamental among patients recovering from a coronary event, and mHealth technology may constitute a useful tool that provides guidelines based on scientific evidence in an entertaining, attractive, and user-friendly format.

OBJECTIVE

This study aimed to compare the efficacy of an mHealth intervention involving the eMOTIVA app and that of usual care regarding compliance with cardiac rehabilitation guidelines in terms of lifestyle, cardiovascular risk factors, and satisfaction among patients with acute coronary syndrome.

METHODS

A randomized controlled clinical trial with a parallel group design was conducted. It included 300 patients (mHealth group, 150; control group, 150) who underwent percutaneous coronary intervention for acute coronary syndrome. Both groups underwent evaluations initially (during hospitalization) and after 3 and 6 months (face-to-face consultations). The eMOTIVA app incorporates a virtual classroom providing audio and video information about a healthy lifestyle, a section for self-recording cardiovascular risk factors, and a section for feedback messages and gamification. The primary outcome variables were (1) adherence to the Mediterranean diet and the frequency of consumption of food; (2) physical activity level, sedentary time, and exercise capacity; (3) smoking cessation and nicotine dependence; (4) level of knowledge about cardiovascular risk factors; and (5) app satisfaction and usability.

RESULTS

The study analyzed 287 patients (mHealth group, 145; control group, 142). Most participants were male (207/300, 69.0%), and the mean age was 62.53 (SD 8.65) years. Significant improvements were observed in the mHealth group compared with the control group at 6 months in terms of (1) adherence to the Mediterranean diet (mean 11.92, SD 1.70 vs 8.92, SD 2.66 points; P<.001) and frequency of eating foods (red meat [≤1/week]: 141/143, 97.9% vs 96/141, 68.1%; industrial pastries [<2/week]: 129/143, 89.6% vs 80/141, 56.8%; oily fish [≥2/week]: 124/143, 86.1% vs 64/141, 41.4%; vegetables [≥2/day]: 130/143, 90.3% vs 78/141, 55.3%; fruit [≥2/day]: 128/143, 88.9% vs 85/141, 60.2%; all P<.001); (2) physical activity (mean 2112.66, SD 1196.67 vs 1372.60, SD 944.62 metabolic equivalents/week; P<.001) and sedentary time (mean 8.38, SD 1.88 vs 9.59, SD 2.09 hours; P<.001); (3) exercise capacity (distance: mean 473.49, SD 102.28 vs 447.25, SD 93.68 meters; P=.04); and (4) level of knowledge (mean 117.85, SD 3.83 vs 111.00, SD 7.11 points; P<.001). App satisfaction was high (mean 42.53, SD 6.38 points), and its usability was excellent (mean 95.60, SD 4.03 points).

CONCLUSIONS

With the eMOTIVA app, favorable results were obtained in the intervention group in terms of adherence to the Mediterranean diet, frequency of eating certain foods, physical activity, sedentary time, exercise capacity, knowledge level, systolic blood pressure, heart rate, and blood sugar level. Furthermore, participants reported high app satisfaction and rated its usability as excellent. Thus, this innovative tool is very promising.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05247606; https://clinicaltrials.gov/study/NCT05247606.

Impact of mHealth application on adherence to cardiac rehabilitation guidelines after a coronary event: Randomised controlled clinical trial protocol

Background

Coronary disease is the main cause of death around the world. mHealth technology is considered attractive and promising to promote behavioural changes aimed at healthy lifestyle habits among coronary patients. The purpose of this study is to evaluate the efficacy of an mHealth intervention regarding improved results in secondary prevention in patients after an acute myocardial infarction (AMI) or angina in terms of lifestyle, clinical variables and therapeutic compliance.

Methods

Randomised clinical trial with 300 patients who underwent a percutaneous coronary intervention (PCI) with stent implant. They will be assigned to either the mHealth group, subject to a self-monitored educational intervention involving an internet application installed on their mobile phone or tablet, or to a control group receiving standard healthcare (150 patients in each arm). The primary outcome variables will be adherence to the Mediterranean diet, physical activity, smoking, therapeutic compliance, knowledge acquired, user-friendliness and satisfaction with the application. Measurements of blood pressure, heart rate, body weight, waist circumference (WC) and the 6-min walk test will be taken. Furthermore, the blood lipid profile, glucose and HbA1c will be evaluated. Clinical interview will be conducted, and validated questionnaires completed. The primary quantitative results will be compared using an analysis of covariance adjusted for age and sex. A multivariate analysis will be performed to examine the association of the intervention with lifestyle habits, the control of cardiovascular risk factors (CDRFs) and the results after the hospital discharge (major adverse events, treatment compliance and lifestyle).

Conclusions

The study will provide evidence about the effectiveness of an mHealth intervention at improving the lifestyle of the participants and could be offered to patients with coronary disease to complement existing services.

Trial registration

NCT05247606. [https://ClinicalTrials.gov]. 21/02/2022.

Social network interventions to support cardiac rehabilitation and secondary prevention in the management of people with heart disease

BACKGROUND

Globally, cardiovascular diseases (CVD, that is, coronary heart (CHD) and circulatory diseases combined) contribute to 31% of all deaths, more than any other cause. In line with guidance in the UK and globally, cardiac rehabilitation programmes are widely offered to people with heart disease, and include psychosocial, educational, health behaviour change, and risk management components. Social support and social network interventions have potential to improve outcomes of these programmes, but whether and how these interventions work is poorly understood.  OBJECTIVES: To assess the effectiveness of social network and social support interventions to support cardiac rehabilitation and secondary prevention in the management of people with heart disease. The comparator was usual care with no element of social support (i.e. secondary prevention alone or with cardiac rehabilitation).  SEARCH METHODS: We undertook a systematic search of the following databases on 9 August 2022: CENTRAL, MEDLINE, Embase, and the Web of Science. We also searched ClinicalTrials.gov and the WHO ICTRP. We reviewed the reference lists of relevant systematic reviews and included primary studies, and we contacted experts to identify additional studies.  SELECTION CRITERIA: We included randomised controlled trials (RCTs) of social network or social support interventions for people with heart disease. We included studies regardless of their duration of follow-up, and included those reported as full text, published as abstract only, and unpublished data.

DATA COLLECTION AND ANALYSIS

Using Covidence, two review authors independently screened all identified titles. We retrieved full-text study reports and publications marked 'included', and two review authors independently screened these, and conducted data extraction. Two authors independently assessed risk of bias, and assessed the certainty of the evidence using GRADE. Primary outcomes were all-cause mortality, cardiovascular-related mortality, all-cause hospital admission, cardiovascular-related hospital admission, and health-related quality of life (HRQoL) measured at > 12 months follow-up.  MAIN RESULTS: We included 54 RCTs (126 publications) reporting data for a total of 11,445 people with heart disease. The median follow-up was seven months and median sample size was 96 participants. Of included study participants, 6414 (56%) were male, and the mean age ranged from 48.6 to 76.3 years. Studies included heart failure (41%), mixed cardiac disease (31%), post-myocardial infarction (13%), post-revascularisation (7%), CHD (7%), and cardiac X syndrome (1%) patients. The median intervention duration was 12 weeks. We identified notable diversity in social network and social support interventions, across what was delivered, how, and by whom.  We assessed risk of bias (RoB) in primary outcomes at > 12 months follow-up as either 'low' (2/15 studies), 'some concerns' (11/15), or 'high' (2/15). 'Some concerns' or 'high' RoB resulted from insufficient detail on blinding of outcome assessors, data missingness, and absence of pre-agreed statistical analysis plans. In particular, HRQoL outcomes were at high RoB. Using the GRADE method, we assessed the certainty of evidence as low or very low across outcomes. Social network or social support interventions had no clear effect on all-cause mortality (risk ratio (RR) 0.75, 95% confidence interval (CI) 0.49 to 1.13, I2 = 40%) or cardiovascular-related mortality (RR 0.85, 95% CI 0.66 to 1.10, I2 = 0%) at > 12 months follow-up. The evidence suggests that social network or social support interventions for heart disease may result in little to no difference in all-cause hospital admission (RR 1.03, 95% CI 0.86 to 1.22, I2 = 0%), or cardiovascular-related hospital admission (RR 0.92, 95% CI 0.77 to 1.10, I2 = 16%), with a low level of certainty. The evidence was very uncertain regarding the impact of social network interventions on HRQoL at > 12 months follow-up (SF-36 physical component score: mean difference (MD) 31.53, 95% CI -28.65 to 91.71, I2 = 100%, 2 trials/comparisons, 166 participants; mental component score MD 30.62, 95% CI -33.88 to 95.13, I2 = 100%, 2 trials/comparisons, 166 participants).  Regarding secondary outcomes, there may be a decrease in both systolic and diastolic blood pressure with social network or social support interventions. There was no evidence of impact found on psychological well-being, smoking, cholesterol, myocardial infarction, revascularisation, return to work/education, social isolation or connectedness, patient satisfaction, or adverse events.  Results of meta-regression did not suggest that the intervention effect was related to risk of bias, intervention type, duration, setting, and delivery mode, population type, study location, participant age, or percentage of male participants.  AUTHORS' CONCLUSIONS: We found no strong evidence for the effectiveness of such interventions, although modest effects were identified in relation to blood pressure. While the data presented in this review are indicative of potential for positive effects, the review also highlights the lack of sufficient evidence to conclusively support such interventions for people with heart disease. Further high-quality, well-reported RCTs are required to fully explore the potential of social support interventions in this context. Future reporting of social network and social support interventions for people with heart disease needs to be significantly clearer, and more effectively theorised, in order to ascertain causal pathways and effect on outcomes.

Mobile health-based remote interaction management intervention for patients with low anterior resection syndrome: study protocol for a randomised controlled trial

INTRODUCTION

Low anterior resection syndrome (LARS) involves bowel dysfunction after sphincter-preserving surgery for rectal resection that significantly impacts patients' quality of life (QoL). The improvement of LARS largely depends on patient self-management behaviour; however, insufficient information about supportive care and weak awareness of self-management lead to poor self-management behaviour. Motivational interviewing (MIs) explore and change patients' ambivalence during the conversation, thereby changing and maintaining healthy behaviours to enhance effective participation. In recent years, mobile health has been widely used in clinical practice, providing continuous information support and remote interaction. However, current online information on LARS is suboptimal, websites are highly variable, important content is often lacking and the material is too complex for patients. Therefore, this study will evaluate the impacts of a remote LARS interaction management intervention based on a WeChat applet ('e-bowel safety') and MIs on patients with LARS.

METHODS AND ANALYSIS

This study will be a single-blind, two-arm randomised controlled trial involving patients with LARS in three tertiary grade A general hospitals who will be randomised into two groups. The intervention group will use the 'e-bowel safety' applet and the intervention team will conduct a monthly MI about syndrome management. The control group will receive an information booklet that contains the same information as that provided in the 'e-bowel safety' informational module. The intervention will last for 3 months, followed by 3 months of follow-up. The primary outcome will be global QoL; the secondary outcomes will include bowel function, social support, self-management measured at the baseline, 3 months and 6 months for three times and patients' thinkings at the end of the intervention (at 3 months).

ETHICS AND DISSEMINATION

Ethics approval was granted by the Clinical Medical Research Ethics Committee of the First Affiliated Hospital of Anhui Medical University (PJ2022-07-53).

TRIAL REGISTRATION NUMBER

Chinese Clinical Trial Registry (ChiCTR2200061317).