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©The Author(s) 2025.
World J Cardiol. Nov 26, 2025; 17(11): 114140
Published online Nov 26, 2025. doi: 10.4330/wjc.v17.i11.114140
Published online Nov 26, 2025. doi: 10.4330/wjc.v17.i11.114140
Table 1 Inclusion and exclusion criteria for the selection of the articles under study
| Criteria | Inclusion | Exclusion |
| Time period | 2019-2023 | Before 2019 |
| Language | English | Other than English |
| Type of article | Quantitative, qualitative or mixed-method | Not peer reviewed, reviews, systematic or scoping reviews, chapters |
| Study focus | That examine the effect of mobile phone applications on medication adherence among CAD patients | Studies focusing on factors other than effect of mobile phone applications on medication adherence among CAD patients/or those featuring non-CAD/general patients |
Table 2 General characteristics of the selected studies
| Ref. | Year | Design | Objectives | Intervention | Follow up | Findings |
| Ni et al[23] | 2018 | RCT | To assess if the mobile phone-based mHealth intervention could improve medication adherence and relevant health outcomes among patients with CHD | mHealth | 90 days | Nonadherence decreased more significantly in the experimental group |
| Devaraju et al[24] | 2022 | RCT | To study the use of technology on ensuring clinical follow ups of post percutaneous transluminal coronary angioplasty patients treatment compliance and study its effectiveness on modification of risk factors and adherence to lifestyle | Jayadeva Hrudaya Spandana | 6 months | Adherence increased significantly in the experimental group |
| Chapman-Goetz et al[25] | 2023 | Prospective, single-blinded RCT | To assess the acceptability and feasibility of an app in supporting medication adherence in heart failure | Tiered intervention added to the NPS MedicineWise dose reminder app (MedicineWise app) | 6 months | Protocol (results not known) |
| Li et al[26] | 2022 | Parallel designed, open-label, single-center, RCT | To explore the effect of a self-management mobile app to be used at home on the long-term use of secondary prevention medications in patients with CHD in China | Digital therapeutics app | 12 + 6 months | Significant increase in adherence after using the app |
| Olivier et al[27] | 2021 | Open-label, single-center RCT | To evaluate the efficacy of a blended intervention with custom-designed mobile application and personalized health coaching to improve adherence to cardiovascular medications and risk factors | Bright Heart program, (mobile intervention) | 90 ± 10 days | Not much significant difference was found between the intervention and control arms |
| Park et al[28] | 2020 | Qualitative | To examine the efficacy of a mHealth intervention using text messaging to improve adherence to antiplatelet and statin medications among patients with a history of myocardial infarction and/or percutaneous coronary intervention | TM + mobile app | 4 weeks | TM increase compliance |
| Dorje et al[29] | 2019 | Parallel-group, single-blind, RCT | To assess the effectiveness of a smartphone-based cardiac rehabilitation and secondary prevention programme delivered via the social media platform WeChat (SMART-CR/SP) | SMART-CR/SP | 12 months | SMART-CR/SP was found to be a cardiac rehabilitation and secondary prevention service model with high efficacy and accessibility and to be easy to use |
| Kauw et al[30] | 2019 | Prospective study | To investigate what advantages mHealth offers in the management of adults with CHD and to evaluate the acceptance of mHealth through adherence and patient experience | mHealth | 12 months | Adherence to weekly measurements of weight and blood pressure were measured (non-pharmacological adherence) |
| Gallagher et al[31] | 2019 | RCT | To evaluate the impact of a game-based mobile app, in secondary prevention behaviours for cardiovascular risk factors | MyHeartMate | 6 months | Protocol (results not known) |
| Santo et al[32] | 2019 | Parallel-design, single-centre, single-blind RCT | To assess the reach, acceptability, utility, and engagement with the apps that were used in the MEDication reminder APPlications (apps) to improve medication adherence in coronary heart disease (MedApp-CHD) study | MEDAPP | 3 months | The participants in the medication reminder app groups had a significantly higher medication adherence, when compared to the usual care group |
Table 3 Results of the selected studies
| Ref. | Design | Sample size | Results | |
| Ni et al[23] | RCT | I: 103, C: 93 | Non adherence | Decreased to 23.06% in I, 1.13% in C |
| Devaraju et al[24] | RCT | I: 100, C: 100 | Compliance, adverse events | 89 in I, 78 in C, 11%, 3 vs 15, 14% less in Intervention group |
| Chapman-Goetz et al[25] | RCT | N = 55, equal in both arms | Medication adherence | Protocol (results not known) |
| Li et al[26] | RCT | I:143, C: 147 | Medication adherence | I: 86.2% adherence, C: 69.2% adherence |
| Olivier et al[27] | RCT | I: 11, C: 15 (trial failure), planned sample size: 132 | Medication adherence | I: 88% (PDC), C: 94% (PDC) |
| Park et al[28] | Qualitative | 28 | Compliance (increase) | TM reminders + app increases compliance. Multiple verbatims supported this |
| Dorje et al[29] | RCT | I: 156, C: 156 | Compliance (increase) | I: 37% adherence, C: 22% adherence |
| Kauw et al[30] | Prospective | 109 | Adherence to weekly measurements of weight and blood pressure | Adherence of more than 70% was registered in 77% of the patients |
| Gallagher et al[31] | RCT | I: 197, C: 197 | Behaviour change, adherence | Protocol (results not available) |
| Santo et al[32] | RCT | I1: 54, I2: 53, C: 56 | Compliance | More than 50% of the I1, more than 75% of the I2 |
Table 4 Intervention/app details
| Ref. | App | App/intervention details |
| Ni et al[23] | mHealth | WeChat (Tencent Inc) and message express (Blue Mobile), message delivery apps (Reminders) |
| Devaraju et al[24] | Jayadeva Hrudaya Spandana | Risk factors, symptom, compliance, discharge report |
| Chapman-Goetz et al[25] | MedicineWise app | Tiered intervention added to the NPS MedicineWise dose reminder app |
| Li et al[26] | Digital therapeutics app | Three modules: Discharge module, home management module, follow up module, alarm system |
| Olivier et al[27] | Bright Heart program, (mobile intervention) | A mobile therapeutic intervention (WellnessMate, Cupertino, CA, United States) of personal health coaching with components of cardiac rehabilitation |
| Park et al[28] | MEMS | The mHealth mobile tech |
| Dorje et al[29] | SMART-CR/SP | WeChat based, pedometer, heart rate monitor, medicine reminder |
| Gallagher et al[31] | MyHeartMate | App based mobile game using heart avatar |
| Santo et al[32] | MEDAPP | Basic app: Alarm reminders. Advanced app: Snooze, taken and missed options |
Table 5 Risk of bias using revised Cochrane risk-of-bias tool for randomized trials
| Domain | Ni et al[23] | Devaraju et al[24] | Li et al[26] | Olivier et al[27] | Dorje et al[29] | Santo et al[32] |
| Domain-1: Risk of bias arising from the randomization process | ||||||
| 1.1 | Y | NI | Y | Y | Y | Y |
| 1.2 | Y | NI | Y | Y | Y | PY |
| 1.3 | N | NI | N | N | N | PN |
| Low risk | Some concerns | Low risk | Low risk | Low risk | Low risk | |
| Domain-2: Risk of bias due to deviations from the intended interventions (effect of assignment to intervention) | ||||||
| 2.1 | Y | Y | Y | Y | Y | Y |
| 2.2 | Y | Y | Y | Y | N | Y |
| 2.3 | N | N | N | Y | N | N |
| 2.4 | NA | NA | NA | Y | NA | NA |
| 2.5 | NA | NA | NA | N | NA | NA |
| 2.6 | PY | NI | PY | PN | PY | NI |
| 2.7 | NA | PN | NA | PY | NA | N |
| Low risk | Some concerns | Low risk | High risk | Low risk | Some concerns | |
| Domain 3: Risk of bias due to deviations from the intended interventions (effect of adhering to intervention) | ||||||
| 3.1 | Y | Y | Y | Y | Y | Y |
| 3.2 | Y | Y | Y | Y | N | Y |
| 3.3 | NA | NI | NA | PN | NA | NA |
| 3.4 | N | NA | N | Y | N | N |
| 3.5 | N | NA | N | Y | N | N |
| 3.6 | NA | NI | NA | PN | NA | NA |
| Low risk | High risk | Low risk | High risk | Low risk | Low risk | |
| Domain 4: Risk of bias due to missing outcome data | ||||||
| 4.1 | Y | Y | Y | N | Y | Y |
| 4.2 | NA | NA | NA | N | NA | NA |
| 4.3 | NA | NA | NA | N | NA | NA |
| 4.4 | NA | NA | NA | NA | NA | NA |
| Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | |
| Domain 5: Risk of bias in measurement of the outcome | ||||||
| 5.1 | N | PY | N | N | N | PN |
| 5.2 | N | PN | N | N | N | N |
| 5.3 | Y | NA | Y | Y | Y | Y |
| 5.4 | N | NA | N | N | N | N |
| 5.5 | NA | NA | NA | NA | NA | NA |
| Low risk | High risk | Low risk | Low risk | Low risk | Low risk | |
| Domain 6: Risk of bias in selection of the reported result | ||||||
| 6.1 | Y | NI | Y | Y | Y | Y |
| 6.2 | N | PN | N | N | N | N |
| 6.3 | N | PN | N | N | N | N |
| Low risk | Some concerns | Low risk | Low risk | Low risk | Low risk | |
| Overall risk-of-bias judgement | Low risk | High risk | Low risk | High risk | Low risk | Some concerns |
- Citation: Seyam MK, Shaik RA, Miraj M, Alzahrani NS, Shaik AR, Ajmera P, Kalra S, Miraj SA, Shawky GM, Nurani KM, A P. Effect of mobile phone applications on medication adherence among patients with coronary artery diseases: A scoping review. World J Cardiol 2025; 17(11): 114140
- URL: https://www.wjgnet.com/1949-8462/full/v17/i11/114140.htm
- DOI: https://dx.doi.org/10.4330/wjc.v17.i11.114140
