Background: Chronic obstructive pulmonary disease (COPD), marked by dyspnea, cough, and sputum production, significantly impairs patients’ quality of life and functionality. Effective management strategies, particularly those empowering patients to manage their condition, are essential to reduce this burden and health care use. Digital health interventions—such as mobile apps for symptom tracking, wearable sensors for vital sign monitoring, and web-based pulmonary rehabilitation programs—can enhance self-efficacy and promote greater patient engagement. By improving self-management skills, these interventions also help alleviate pressure on health care systems. Objective: This systematic review and meta-analysis assesses the clinical effectiveness of smartphone apps, wearable monitors, and web-delivered platforms in four COPD management areas: (1) quality of life (measured by the COPD Assessment Test [CAT] and St George’s Respiratory Questionnaire), (2) self-efficacy (assessed by the General Self-Efficacy Scale), (3) functional capacity (evaluated via the 6-minute walk test and Modified Medical Research Council Dyspnea Scale), and (4) health care use (indicated by hospital and emergency department visits). Methods: A systematic review was conducted using predefined search terms in PubMed, Embase, Cochrane, and Web of Science up to January 26, 2025, to identify randomized trials on digital health interventions for COPD. Two reviewers independently screened studies and extracted data. Outcomes included quality of life, self-efficacy, functional status, and health care use. Results: This review included 17 studies with 2027 participants from 11 countries. Eleven trials involved health care professionals in digital platform use, and 12 reported adherence strategies. Digital tools for COPD primarily focused on telerehabilitation (eg, video-guided exercises) and self-management systems (eg, artificial intelligence–driven exacerbation alerts). The study participants were predominantly older adults. Meta-analysis results indicated that digital health interventions significantly improved quality of life at 3 months on the CAT (mean difference [MD] −1.65, 95% CI –3.17 to –0.14; P=.03); at 6 months on the CAT (MD −2.43, 95% CI −3.93 to −0.94; P=.001) and St George’s Respiratory Questionnaire (MD 3.25, 95% CI 0.69-5.81; P=.01); at 12 months on the CAT (MD −2.53, 95% CI −3.91 to −1.16; P<.001), EQ-5D (MD 0.04, 95% CI 0.01-0.07; P=.02), and EQ-5D visual analogue scale (MD 5.88, 95% CI 0.38-11.37; P=.04); the General Self-Efficacy Scale at 3 months (MD 1.65, 95% CI 0.62-2.69; P=.002) and 6 months (MD 1.94, 95% CI 0.83-3.05; P<.001); and the Modified Medical Research Council Dyspnea Scale at more than 3 months (MD −0.23, 95% CI −0.36 to −0.11; P=.003). However, no significant differences were observed in the 6-minute walk test, emergency department admissions, hospital admissions, emergency department admissions for COPD, or hospital admissions for COPD. Conclusions: Our findings suggest that digital health interventions may benefit COPD patients, but their clinical effectiveness remains uncertain. Further robust studies are needed, particularly those involving larger numbers of older adults with COPD. Trial Registration: PROSPERO CRD420251032053; https://www.crd.york.ac.uk/PROSPERO/view/CRD420251032053

Background: Although smartphone usage is ubiquitous, and a vast amount of mobile applications have been developed for chronic diseases, mobile applications amongst stroke survivors remain unclear. Objective: This systematic review and meta-analysis aimed to determine the effectiveness of mobile applications on medication adherence, functional outcomes, cardiovascular risk factors, quality of life and knowledge on stroke in stroke survivors. Methods: A review of the literature was conducted using key search terms in PubMed, EMBASE, Cochrane and Web of Science databases until 16 March 2023 to identify eligible randomized controlled trials (RCTs) or controlled clinical trial (CCTs) of mobile application interventions among stroke survivors. Two reviewers independently screened the literature in accordance with the eligibility criteria and collected data from the articles included. Outcomes included medication adherence,functional outcomes,cardiovascular risk factors, quality of life,and knowledge of stroke. Results: Twenty-three studies involving 2983 participants across nine countries were included in this review. Sixteen trials involved health care professionals in app use, and seven trials reported measures to ensure app-based intervention adherence. Mobile applications targeting stroke survivors primarily encompassed three areas: rehabilitation, education and self-care. The participants in the studies primarily included young and middle-aged stroke survivors. Meta-analysis results demonstrated that mobile application intervention significantly improved trunk control ability (mean differences [MD] 3.00, 95% CI [1.80 to 4.20]; P < 0.00001), Fugl–Meyer assessment of upper extremity (MD 9.81, 95% CI [8.72 to 10.90]; P < 0.00001), low-density lipoprotein cholesterol (MD − 0.33, 95% CI [− 0.54 to − 0.11]; P = 0.003) and glycosylated haemoglobin A_1c (HbA_1c)<7 levels (MD 1.95, 95% CI [1.17 to 3.25]; P = 0.01). However, the mobile application intervention did not differ significantly in medication adherence, 10-min walk test (10 MWT), Barthel index, systolic blood pressure, diastolic blood pressure, high-density lipoprotein cholesterol, body mass index, smoking, health-related quality of life and knowledge of stroke. Conclusion: Our study suggested that mobile application interventions may have a potential benefit to stroke survivors, but clinical effectiveness should be established. More studies using rigorous designs are warranted to understand their usefulness. Future research should also involve more older adult stroke survivors.

Aim: Medication non-adherence has remained a common and costly global health issue of growing importance among older adults. This study aims to determine the prevalence and associated factors related to medication non-adherence among older adult stroke survivors in China.Methods and results: In this cross-sectional study, a total of 402 older adult stroke survivors were recruited from three tertiary hospitals in China. The results of the survey showed that 61.4% exhibited medication non-adherence. The chances of medication non-adherence among older adult stroke survivors who had primary school or less educational levels were higher than those who had senior secondary and junior college educational levels [OR (95% CI) = 0.440(0.249, 0.778)] as well as those who had a bachelor’s degree or above educational levels [OR (95%CI) = 0.367(0.202, 0.667)]. Moreover, the probability of medication non-adherence with 4–5 and ≥6 types of total prescription medications per day increased by 1.993 times [OR (95% CI) = 1.993(1.190, 3.339))] and 2.233 times [OR (95%CI) = 2.233(1.159, 4.300)], respectively, as compared to when there were ≤3 types. Furthermore, medication non-adherence decreased with the increase in health literacy scores (β = −0.641 (95% CI; (0.913, 0.965)) and BMQ specific-necessity scores (β = −0.131 (95% CI; 0.806, 0.995)). On the other hand, when the BMQ specific-concerns score increased by one unit, medication non-adherence increased by 11.1% [OR (95% CI) = 1.111(1.044, 1.182)].Conclusion: The present study found that patient medication adherence among older adult stroke survivors in China is problematic and associated with educational levels, total prescribed drugs per day, beliefs about medication, and health literacy scores. This indicates that measures should be taken to enhance medication adherence among such higher-risk populations.

Background: Effective medication adherence is vital for older adult stroke survivors, yet 20–33% cease treatment within a year post-discharge, increasing risks of recurrent strokes and mortality. A mobile health (mHealth) app could be a novel tool to improve medication adherence among stroke survivors because of its potential to increase patient empowerment. A few stroke-related apps provide information and support to stroke survivors. However, none have focused on medication adherence and documented their development and evaluation process, particularly those focused on this older population. Objective: This study aims to design and develop a smartphone app called OASapp to improve medication adherence among older adult stroke survivors and evaluate its usability. Methods: OASapp was developed in a three-phase development process. Phase 1 is the exploration phase (including a cross-sectional survey, a systematic review, a search for stroke apps on the app stores of Apple App Store and Google Play Store, and a nominal group technique). In phase 2, a prototype was designed based on the Health Belief Model and Technology Acceptance Model. In phase 3, Alpha and Beta testing was conducted to validate the app. Results: Twenty-five features for inclusion in the app were collected in round one, and 14 features remained and were ranked by the participants during nominal group technique. OASapp included five core components (medication management, risk factor management, health information, communication, and stroke map). Users of OASapp were satisfied based on reports from Alpha and Beta testing. The mean Usability Metric for User Experience (UMUX) score was 71.4 points (SD 14.6 points). Conclusion: OASapp was successfully developed using comprehensive, robust, and theory-based methods and was found to be highly accepted by users. Further research is needed to establish the clinical efficacy of the app so that it can be utilized to improve clinically relevant outcomes.

Background: As a principal cause of mortality and disability worldwide, stroke imposes considerable burdens on society and effects on the lives of patients, families, and communities. Owing to their growing global popularity, health-related applications (apps) offer a promising approach to stroke management but show a knowledge gap regarding mobile apps for stroke survivors. Methods: This review was conducted across the Android and iOS app stores in September–December 2022 to identify and describe all apps targeting stroke survivors. Apps were included if they were designed for stroke management and contained at least one of the following components: medication taking, risk management, blood pressure management, and stroke rehabilitation. Apps were excluded if they were unrelated to health, not in Chinese or English, or the targeted users were healthcare professionals. The included apps were downloaded, and their functionalities were investigated. Results: The initial search yielded 402 apps, with 115 eligible after title and description screening. Some apps were later excluded due to duplicates, registration problems, or installation failures. In total, 83 apps were included for full review and evaluated by three independent reviewers. Educational information was the most common function (36.1%), followed by rehabilitation guidance (34.9%), communication with healthcare providers (HCPs), and others (28.9%). The majority of these apps (50.6%) had only one functionality. A minority had contributions from an HCP or patients. Conclusion: With the widespread accessibility and availability of smartphone apps across the mHealth landscape, an increasing number of apps targeting stroke survivors are being released. One of the most important findings is that the majority of the apps were not specifically geared toward older adults. Many of the currently available apps lack healthcare professionals’ and patients’ involvement in their development, and most offer limited functionality, thus requiring further attention to the development of customized apps.