The Effect of a WeChat-Based Tertiary A-Level Hospital Intervention on Medication Adherence and Risk Factor Control in Patients With Stable Coronary Artery Disease: Multicenter Prospective Study

Effectiveness and Safety of Digital Health Services in Patients After Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis

BACKGROUND

Post-percutaneous coronary intervention (PCI) management is essential for improving patient outcomes. Digital health services (DHS) offer the potential to enhance recovery outcomes and care quality through real-time monitoring and personalized interventions.

PURPOSE

This systematic review and meta-analysis aims to evaluate the effectiveness and safety of DHS in improving outcomes for post-PCI patients.

METHODS

A systematic search of databases was conducted for randomized controlled trials on DHS for post-PCI patients.

RESULTS

Eleven studies involving 2568 patients were included. DHS significantly improved quality of life, 6-minute walk test performance, medication adherence, patient satisfaction, and smoking cessation rates, while reducing complications and readmission rates. Subgroup analysis showed DHS was particularly effective for patients over 60 years.

CONCLUSION

DHS significantly improve post-PCI management and patient outcomes, with marked benefits for older patients. Further large-scale, long-term studies are recommended to confirm these findings.

Pharmacist-Led Management Model and Medication Adherence Among Patients With Chronic Heart Failure: A Randomized Clinical Trial

Importance

Poor medication adherence is associated with high morbidity and mortality among patients with chronic heart failure (CHF), which is particularly concerning in China.

Objective

To assess the effect of a pharmacist-led management model incorporating a social media platform vs usual care on medication adherence in patients with CHF.

Design, Setting, and Participants

This prospective, multicenter randomized clinical trial was conducted from March 2021 to May 2023, with a follow-up duration of 52 weeks. The trial was conducted in the cardiology wards of 5 hospitals in China. Participants were 18 years or older, had a CHF diagnosis, and were receiving stable medication. They were randomly assigned to either the intervention group (pharmacist-led management) or the control group (usual care) in a 1:1 ratio using a computer-generated random number table with concealed allocation via opaque envelopes. Intention-to-treat data analysis was performed from June 2023 to July 2024.

Intervention

The intervention group received a multimodal pharmaceutical intervention, including WeChat application-based communication and education, and a standardized follow-up visit from a pharmacist every month. The control group received the standardized follow-up visit from nurses every month.

Main Outcomes and Measures

The primary outcome was the proportion of days covered (PDC) by heart failure medication at 52 weeks.

Results

Among the 445 participants analyzed, 223 were assigned to the intervention group and 222 to the control group. These patients had a mean (SD) age of 63.2 (13.3) years and included 263 males (59.1%). A total of 333 patients (74.8%) had a New York Heart Association class III or IV heart failure, indicating severe limitations in physical activity. At 52 weeks, the intervention group had a significantly higher PDC for heart failure medication (8.1%; 95% CI, 5.5%-10.7%; P < .001) and a greater proportion of patients with PDC of 80% or greater (odds ratio, 0.34; 95% CI, 0.21-0.54; P < .001) compared with the control group.

Conclusions and Relevance

This randomized clinical trial found a modest improvement in medication adherence among patients with CHF who received the pharmacist-led management intervention vs usual care.

Trial Registration

Chinese Clinical Trial Registry Identifier: ChiCTR2000040232.

Effectiveness of mobile health applications on clinical outcomes and health behaviors in patients with coronary heart disease: A systematic review and meta-analysis

Objective

Mobile health applications (apps) have gained significant popularity and widespread utilization among patients with coronary heart disease (CHD). The objective of this study is to evaluate the effects of mHealth apps on clinical outcomes and health behaviors in patients with CHD.

Methods

Databases were searched from inception until December 2023, including Cochrane Library, PubMed, EMBASE, Web of Science, CINAHL, China National Knowledge Infrastructure (CNKI), Chinese BioMedical Literature Service System (SinoMed), Wanfang Data, China Science and Technology Journal Database (VIP), for randomized controlled trials (RCTs) regarding the effectiveness of mHealth apps in patients with CHD. Two researchers conducted a comprehensive review of the literature, extracting relevant data and evaluating each study's methodological quality separately. The meta-analysis was performed utilizing Review Manager v5.4 software.

Results

A total of 34 RCTs were included, with 5,319 participants. The findings demonstrated that using mHealth apps could decrease the incidence of major adverse cardiac events (RR = 0.68, P = 0.03), readmission rate (RR = 0.56, P < 0.001), total cholesterol (WMD = -0.19, P = 0.03), total triglycerides (WMD = -0.24, P < 0.001), waist circumference (WMD = -1.92, P = 0.01), Self-Rating Anxiety Scale score (WMD = -6.70, P < 0.001), and Self-Rating Depression Scale score (WMD = -7.87, P < 0.001). They can also increase the LVEF (WMD = 6.50, P < 0.001), VO2 max (WMD = 1.89, P < 0.001), 6-min walk distance (6MWD) (WMD = 19.43, P = 0.004), Morisky Medication Adherence Scale-8 score (WMD = 0.96, P = 0.004), and medication adherence rate (RR = 1.24, P = 0.03). Nevertheless, there is no proof that mHealth apps can lower low-density lipoprote in cholesterol, blood pressure, BMI, or other indicator (P > 0.05).

Conclusion

Mobile health apps have the potential to lower the incidence of major adverse cardiac events (MACEs), readmission rates, and blood lipids in patients with CHD. They can also help enhance cardiac function, promote medication adherence, and alleviate symptoms of anxiety and depression. To further corroborate these results, larger-scale, multi-center RCTs with longer follow-up periods are needed.

Efficacy of eHealth Technologies on Medication Adherence in Patients With Acute Coronary Syndrome: Systematic Review and Meta-Analysis

BACKGROUND

Suboptimal adherence to cardiac pharmacotherapy, recommended by the guidelines after acute coronary syndrome (ACS) has been recognized and is associated with adverse outcomes. Several randomized controlled trials (RCTs) have shown that eHealth technologies are useful in reducing cardiovascular risk factors. However, little is known about the effect of eHealth interventions on medication adherence in patients following ACS.

OBJECTIVE

The aim of this study is to examine the efficacy of the eHealth interventions on medication adherence to selected 5 cardioprotective medication classes in patients with ACS.

METHODS

A systematic literature search of PubMed, Embase, Scopus, and Web of Science was conducted between May and October 2022, with an update in October 2023 to identify RCTs that evaluated the effectiveness of eHealth technologies, including texting, smartphone apps, or web-based apps, to improve medication adherence in patients after ACS. The risk of bias was evaluated using the modified Cochrane risk-of-bias tool for RCTs. A pooled meta-analysis was performed using a fixed-effect Mantel-Haenszel model and assessed the medication adherence to the medications of statins, aspirin, P2Y12 inhibitors, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, and β-blockers.

RESULTS

We identified 5 RCTs, applicable to 4100 participants (2093 intervention vs 2007 control), for inclusion in the meta-analysis. In patients who recently had an ACS, compared to the control group, the use of eHealth intervention was not associated with improved adherence to statins at different time points (risk difference [RD] -0.01, 95% CI -0.03 to 0.03 at 6 months and RD -0.02, 95% CI -0.05 to 0.02 at 12 months), P2Y12 inhibitors (RD -0.01, 95% CI -0.04 to 0.02 and RD -0.01, 95% CI -0.03 to 0.02), aspirin (RD 0.00, 95% CI -0.06 to 0.07 and RD -0.00, 95% CI -0.07 to 0.06), angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (RD -0.01, 95% CI -0.04 to 0.02 and RD 0.01, 95% CI -0.04 to 0.05), and β-blockers (RD 0.00, 95% CI -0.03 to 0.03 and RD -0.01, 95% CI -0.05 to 0.03). The intervention was also not associated with improved adherence irrespective of the adherence assessment method used (self-report or objective).

CONCLUSIONS

This review identified limited evidence on the effectiveness of eHealth interventions on adherence to guideline-recommended medications after ACS. While the pooled analyses suggested a lack of effectiveness of such interventions on adherence improvement, further studies are warranted to better understand the role of different eHealth approaches in the post-ACS context.

Effect of social app-assisted education and support on glucose control in patients with coronary heart disease and diabetes mellitus

Background

Social app-assisted education and support may facilitate diabetes self-management. We aim to evaluate the effect of WeChat, a popular social app, on glycemic control in patients with coronary heart disease (CHD) and diabetes mellitus (DM).

Methods

We conducted a parallel-group, open-label, randomized clinical trial that included 160 patients with both CHD and diabetes mellitus from a tertiary hospital in China. The intervention group (n = 80) received educational materials (information on glucose monitoring, drug usage, medication, and lifestyle) and reminders in response to individual blood glucose values via WeChat. The control group (n = 80) received usual care. The primary outcome was a change in glycated hemoglobin (HbA1C) levels over 3 months. Secondary outcomes included fasting blood glucose (FBG), systolic blood pressure, and low-density lipoprotein (LDL) cholesterol from baseline to 3 months. Analysis was conducted using a linear mixed model.

Results

The intervention group had a greater reduction in HbA1C (−0.85 vs. 0.15%, between-group difference: −1.00%; 95% CI −1.31 to −0.69%; p < 0.001) compared with the control group. Change in fasting blood glucose was larger in the intervention group (−1.53 mmol/L; 95% CI −1.90 to −1.17; p < 0.001) and systolic blood pressure (−9.06 mmHg; 95% CI −12.38 to −5.73; p < 0.001), but not LDL (between-group difference, −0.08 mmol/L; 95% CI −0.22 to 0.05; p = 0.227).

Conclusion

The combination of social app with education and support resulted in better glycemic control in patients with CHD and DM. These results suggest that education and support interaction via social app may benefit self-management in CHD and DM.

Comparison of the agreement between WeChat-based self-administered and interviewer-administered data on infant and young child feeding in China: A test-retest study

Background

Measuring infant and young child feeding (IYCF) indicators is important in evaluating child health programs and making evidence-based decisions. With Internet and new media rapidly developing, communication apps such as WeChat (the most popular mobile social media platform in China) are widely used and can potentially be used as an alternative way to collect infant and young child feeding information. This study compares data agreement between a WeChat-based self-administered and an interviewer-administered survey on infant and young child feeding information.

Methods

We recruited 297 mothers of children aged 6-23 months in Fenxi County, Shanxi Province, China. Using the Test-Retest method, we first collected data through a self-administered survey using a WeChat-based electronic questionnaire and asked 36 questions on breastfeeding and complementary feeding knowledge, practices, and information sources. We then conducted an interviewer-administered survey using the same questionnaire and compared the data agreement between the two survey methods during the same day. Cohen's kappa score (κ) and intraclass correlation coefficients (ICC) were used for data agreement analysis for all 36 questions and six key IYCF indicators. The McNemar test was used to identify differences between the two survey methods for the six key indicators.

Results

There was substantial or almost perfect agreement for 33 questions (κ/ICC>0.60), and slight or fair agreement for the other 3 questions (κ/ICC<0.40). Agreement of all six key IYCF indicators was substantial or almost perfect (κ = 0.78-0.94), while two indicators showed statistical differences between the two survey methods (P = 0.03 for “Minimum meal frequency” and P = 0.001 for “Minimum accepted diet”). Analysis of reasons for inconsistencies showed that 43.6% of all the inconsistencies were not caused by the self-administered survey method. The cost of the interviewer-administered survey was much higher than that of the self-administered survey: ¥45.9 (US$6.8) vs ¥19.7 (US$2.9) per questionnaire.

Conclusions

The WeChat-based self-administered method can be used for future data collection of infant and young child feeding information in China. Most of the questions and key indicators showed very good agreement without statistical differences between the two methods.

Web-Based TangPlan and WeChat Combination to Support Self-management for Patients With Type 2 Diabetes: Randomized Controlled Trial

Background

China has the largest number of patients with type 2 diabetes mellitus (T2DM) in the world. However, owing to insufficient knowledge of self-management in patients with diabetes, blood glucose (BG) control is poor. Most diabetes-related self-management applications fail to bring significant benefits to patients with T2DM because of the low use rate and difficult operation.

Objective

This study aims to examine the effectiveness of the combination of the self-designed web-based T2DM management software TangPlan and WeChat on fasting BG (FBG), glycated hemoglobin (HbA_1c), body weight, blood pressure (BP), and lipid profiles in patients with T2DM over a 6-month period.

Methods

Participants were recruited and randomized into the TangPlan and WeChat or control groups. Participants in the control group received usual care, whereas the TangPlan and WeChat participants received self-management guidance with the help of TangPlan and WeChat from health care professionals, including BG self-monitoring; healthy eating; active physical exercise; increasing medication compliance; and health education during follow-ups, lectures, or web-based communication. They were also asked to record and send self-management data to the health care professionals via WeChat to obtain timely and effective guidance on diabetes self-management.

Results

In this study, 76.9% (120/156) of participants completed the 6-month follow-up visit. After the intervention, FBG (mean 6.51, SD 1.66 mmol/L; P=.048), HbA_1c (mean 6.87%, SD 1.11%; P<.001), body weight (mean 66.50, SD 9.51 kg; P=.006), systolic BP (mean 127.03, SD 8.00 mm Hg; P=.005), diastolic BP (mean 75.25, SD 5.88 mm Hg; P=.03), serum low-density lipoprotein cholesterol (mean 2.50, SD 0.61 mmol/L; P=.006), and total cholesterol (mean 4.01, SD 0.83 mmol/L; P=.02) in the TangPlan and WeChat group were all significantly lower, whereas serum high-density lipoprotein cholesterol (mean 1.20, SD 0.25 mmol/L; P=.01) was remarkably higher than in those in the control group. Compared with the baseline data, significance was found in the mean change in FBG (95% CI −0.83 to −0.20; P=.002), HbA_1c (95% CI −1.92 to −1.28; P<.001), body weight (95% CI −3.13 to −1.68; P<.001), BMI (95% CI −1.10 to −0.60; P<.001), systolic BP (95% CI −7.37 to −3.94; P<.001), diastolic BP (95% CI −4.52 to −2.33; P<.001), triglycerides (95% CI −0.16 to −0.03; P=.004), serum low-density lipoprotein cholesterol (95% CI −0.54 to −0.30; P<.001), and total cholesterol (95% CI −0.60 to −0.34; P<.001) in the TangPlan and WeChat group but not in the control group (P=.08-.88).

Conclusions

Compared with usual care for patients with T2DM, the combination of TangPlan and WeChat was effective in improving glycemic control (decrease in HbA_1c and BG levels) and serum lipid profiles as well as reducing body weight in patients with T2DM after 6 months.

Trial Registration

Chinese Clinical Trial Registry ChiCTR2000028843; https://tinyurl.com/559kuve6

Knowledge, attitudes, and barriers related to medication adherence of older patients with coronary heart disease in China

OBJECTIVES

To investigate the knowledge, attitudes, and barriers related to medication adherence in older patients with coronary heart disease (CHD).

METHODS

A total of 272 older patients with CHD were investigated by the Chinese version of the Medication Adherence Scale. The score ranges for the knowledge, attitudes, and barrier subscales were 0-30, 0-30, and 0-110, respectively. Higher scores indicate more knowledge, positive attitudes, and more barriers related to medication adherence.

RESULTS

The median scores of knowledge, attitudes and barriers were 25.5, 28, and 8, respectively. Having stents, living alone, good financial status and fewer chronic diseases were related to more knowledge. Younger age, having no stent, and more chronic diseases were associated with more barriers. Patients with good financial status and higher age had more positive attitudes.

CONCLUSIONS

Understanding older patients' knowledge, attitudes, and barriers related to medication adherence and their associated factors can help develop tailored interventions in medication adherence studies.