Effects of transitional health management on adherence and prognosis in elderly patients with acute myocardial infarction in percutaneous coronary intervention: A cluster randomized controlled trial

Improving medication adherence in cardiovascular disease

Non-adherence to medication is a global health problem with far-reaching individual-level and population-level consequences but remains unappreciated and under-addressed in the clinical setting. With increasing comorbidity and polypharmacy as well as an ageing population, cardiovascular disease and medication non-adherence are likely to become increasingly prevalent. Multiple methods for detecting non-adherence exist but are imperfect, and, despite emerging technology, a gold standard remains elusive. Non-adherence to medication is dynamic and often has multiple causes, particularly in the context of cardiovascular disease, which tends to require lifelong medication to control symptoms and risk factors in order to prevent disease progression. In this Review, we identify the causes of medication non-adherence and summarize interventions that have been proven in randomized clinical trials to be effective in improving adherence. Practical solutions and areas for future research are also proposed.

Association between quality of discharge teaching and self-management in patients after percutaneous coronary intervention: A chain mediation model

AIMS

To examine chain mediating effect of discharge readiness and self-efficacy between quality of discharge teaching and self-management in patients after percutaneous coronary intervention (PCI).

BACKGROUND

Although self-management after PCI has significant benefits in controlling risk factors and delaying disease progression, the status of self-management remains unoptimistic. A large number of studies have explored the close relationship between the quality of discharge teaching and patients self-management, but little is known about the underlying mechanisms.

METHODS

The cross-sectional samples was collected from a tertiary hospital in China. Self-reported questionnaires were used to assess quality of discharge teaching, discharge readiness, self-efficacy and self-management. Pearson correlation analysis and mediation effect analysis were used for statistical analysis.

REPORTING METHOD

The study used the STROBE checklist for reporting.

RESULTS

A total of 198 patients with a mean age of 64.99 ± 11.32 (34-85) were included. The mean score of self-management was 88.41 ± 11.82. Quality of discharge teaching, discharge readiness, self-efficacy and self-management were all positively correlated. Mediation effect analysis showed that the mediating effects of discharge readiness, self-efficacy, discharge readiness and self-efficacy between quality of discharge teaching and self-management were 0.157, 0.177 and 0.049, respectively, accounting for 21.96%, 24.76% and 6.85% of the total effect.

CONCLUSION

The quality of discharge teaching for patients after PCI not only directly affects self-management, but also can indirectly affect self-management through discharge readiness and self-efficacy.

RELEVANCE TO CLINICAL PRACTICE

To improve the life quality of patients after PCI, medical staff should pay attention to the influence of self-management of quality of discharge teaching, and develop intervention strategies based on the path of discharge readiness and self-efficacy.

PATIENT OR PUBLIC CONTRIBUTION

Questionnaires filled out by patients were used to understand the association between quality of discharge teaching, discharge readiness, self-efficacy and self-management.

The interventions to improve medication adherence in coronary heart disease patient: A systematic review

Objective

The clinical outcome and quality of life of CHD patients are greatly influenced by medication adherence. Non-adherence of CHD patients to treatment results in sub-optimal clinical outcomes and increasing costs. This study aims to describe effectiveness of the intervention to improve the medication adherence in CHD patients.

Methods

Systematic review methodology was used in this study. Scopus and PubMed were used to search the relevant article systematically. The outcome measured was medication adherence in coronary heart disease patients.

Results

Final screening was 31 articles that met the inclusion criteria in this study of 788 articles. Selection processes the article used the PRISMA guideline. Most of the articles (15 articles) use interventions that utilize information technology (IT) as known with m-health in the form of text messages, website, and smartphone-based applications in increasing medication adherence in CHD patients. The non m-health interventions developed are in the form of self-efficacy programs, monitoring and education by health workers or care workers, pharmacy care by clinical pharmacists, and the use of drugs in the form of multi-capsules. The results of most intervention with m-health can improve the medication adherence in CHD patient effectively. Education and motivation program by professional health care and multi-capsules also increasing the medication adherence in the intervention control. There was a decrease of medication adherence in some articles with long time follow-up that can be attention for the professional health care to manage the patient adherent.

Conclusion

The medication adherence in CHD patient can be improve by various program. Modification of m-health and non m-health intervention can be resolved to increase the communication, motivation, and knowledge about medication adherence in CHD patients.

Transitional Care Interventions From Hospital to Community to Reduce Health Care Use and Improve Patient Outcomes: A Systematic Review and Network Meta-Analysis

Importance

Discharge from the hospital to the community has been associated with serious patient risks and excess service costs.

Objective

To evaluate the comparative effectiveness associated with transitional care interventions with different complexity levels at improving health care utilization and patient outcomes in the transition from the hospital to the community.

Data Sources

CENTRAL, Embase, MEDLINE, and PsycINFO were searched from inception until August 2022.

Study Selection

Randomized clinical trials evaluating transitional care interventions from hospitals to the community were identified.

Data Extraction and Synthesis

At least 2 reviewers were involved in all data screening and extraction. Random-effects network meta-analyses and meta-regressions were applied. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were followed.

Main Outcomes and Measures

The primary outcomes were readmission at 30, 90, and 180 days after discharge. Secondary outcomes included emergency department visits, mortality, quality of life, patient satisfaction, medication adherence, length of stay, primary care and outpatient visits, and intervention uptake.

Results

Overall, 126 trials with 97 408 participants were included, 86 (68%) of which were of low risk of bias. Low-complexity interventions were associated with the most efficacy for reducing hospital readmissions at 30 days (odds ratio [OR], 0.78; 95% CI, 0.66 to 0.92) and 180 days (OR, 0.45; 95% CI, 0.30 to 0.66) and emergency department visits (OR, 0.68; 95% CI, 0.48 to 0.96). Medium-complexity interventions were associated with the most efficacy at reducing hospital readmissions at 90 days (OR, 0.64; 95% CI, 0.45 to 0.92), reducing adverse events (OR, 0.42; 95% CI, 0.24 to 0.75), and improving medication adherence (standardized mean difference [SMD], 0.49; 95% CI, 0.30 to 0.67) but were associated with less efficacy than low-complexity interventions for reducing readmissions at 30 and 180 days. High-complexity interventions were most effective for reducing length of hospital stay (SMD, -0.20; 95% CI, -0.38 to -0.03) and increasing patient satisfaction (SMD, 0.52; 95% CI, 0.22 to 0.82) but were least effective for reducing readmissions at all time periods. None of the interventions were associated with improved uptake, quality of life (general, mental, or physical), or primary care and outpatient visits.

Conclusions and Relevance

These findings suggest that low- and medium-complexity transitional care interventions were associated with reducing health care utilization for patients transitioning from hospitals to the community. Comprehensive and consistent outcome measures are needed to capture the patient benefits of transitional care interventions.

Hot spots and trends in PCI prognostic research: A bibliometric analysis with CiteSpace

BACKGROUND

The number of patients undergoing percutaneous coronary intervention (PCI) procedures is increasing along with the number of studies involving guidelines, prognostic assessments, and cardiac rehabilitation related to PCI strategies. However, fewer studies have reported the mapping of knowledge structure and hotspot analysis in this field. Our goal was to discuss and analyze the current status, hot spots and developmental trends associated with research into the prognosis of patients undergoing PCI, and to provide reference for PCI-related research.

METHODS

The Web of Science Core Collection and China Knowledge Network were searched for relevant literature from January 2003 to October 2022, and CiteSpace 6.1. R3 software was used to analyze the co-occurrence, clustering, and emerging authors, institutions, and keywords.

RESULTS

A total of 2666 English and 2010 Chinese publications were included. The number of publications showed a growing trend. The author with the maximum number of articles was Xu Bo. The institutions with high productivity were Peking Union Medical College and Capital Medical University. Although the number of Chinese articles was high, the cooperation between institutions was low and the impact was small. The results of the analysis suggest a shift in the focus of keywords from coronary artery disease and PCI to studies involving the assessment and intervention of risk factors associated with poor prognosis of PCI. Traditional Chinese Medicine and anxiety represent the emerging direction of PCI prognosis. The assessment of major adverse cardiovascular events and cardiac rehabilitation require careful analysis in post-PCI research.

CONCLUSION

The findings of this bibliometric study present a comprehensive and systematic overview of the PCI prognosis, based on the analysis of the current status and trends in research, which may facilitate the identification of hot topics and new directions for future research.

Prognostic implications for patients after myocardial infarction: an integrative literature review and in-depth interviews with patients and experts

Background

As patients with myocardial infarction (MI) survive for a long time after acute treatment, it is necessary to pay attention to the prevention of poor prognosis such as heart failure (HF). To identify the influencing factors of adverse clinical outcomes through a review of prospective cohort studies of post-MI patients, and to draw prognostic implications through in-depth interviews with post-MI patients who progressed to HF and clinical experts.

Methods

A mixed-method design was used that combined a scoping review of 21 prospective cohort studies, in-depth interviews with Korean post-MI patients with HF, and focus group interviews with cardiologists and nurses.

Results

A literature review showed that old age, diabetes, high Killip class, low left ventricular ejection fraction, recurrent MI, comorbidity of chronic disease and current smoking, and low socioeconomic status were identified as influencing factors of poor prognosis. Through interviews with post-MI patients, these influencing factors identified in the literature as well as a lack of disease awareness and lack of self-care were confirmed. Experts emphasized the importance of maintaining a healthy lifestyle after acute treatment with the recognition that it is a chronic disease that must go together for a lifetime.

Conclusion

This study confirmed the factors influencing poor prognosis after MI and the educational needs of post-MI patients with transition to HF. Healthcare providers should continue to monitor the risk group, which is expected to have a poor prognosis, along with education emphasizing the importance of self-care such as medication and lifestyle modification.

Clinical Nursing Pathway Improves Therapeutic Efficacy and Quality of Life of Elderly Patients with Acute Myocardial Infarction

Purposes

To clarify the impacts of clinical nursing pathway (CNP) on therapeutic efficacy and quality of life (QOL) of senile acute myocardial infarction (AMI) patients.

Methods

The clinical records of 177 elderly AMI patients who received treatment in the First Hospital of Quanzhou Affiliated to Fujian Medical University were retrospectively studied. They were assigned into the control group (the Con; n = 79; from June 2019 to January 2020) and the research group (the Res; n = 98; from February 2020 to July 2020). Emergency percutaneous coronary intervention (PCI) was performed in all the cases. Additionally, the Con and the Res were given routine care and CNP, respectively. The two groups were compared in total emergency treatment time, hospital stay, medical expenses, recurrence rate of myocardial infarction (MI), overall response rate (ORR), incidence of complications, cardiac function indexes, negative mood scores, QOL, and nursing satisfaction.

Results

The ORR was higher, and the incidence of complications was lower in the Res versus the Con; the Res presented significantly less emergency treatment time and hospitalization and statistically lower medical expenses and recurrence rate of MI; the Res outperformed the Con in cardiac function indexes, alleviation of negative mood, QOL, and nursing satisfaction.

Conclusions

While effectively improving clinical efficacy and reducing the incidence of complications, CNP can relieve the bad mood of elderly patients with AMI and improve their cardiac function, QOL, and nursing satisfaction, which is worthy of clinical promotion.

Continuity of Nursing Care in Patients with Coronary Artery Disease: A Systematic Review

Coronary artery disease is the leading cause of death worldwide and patient continuity of care is essential. Health professionals can help in the transition stage by providing resources to achieve pharmacological treatment adherence, as well as social and emotional support. The objective was to analyse the effects of nursing interventions based on continuity of care in patients with coronary artery disease after hospital discharge. A systematic review of randomised controlled trials and quasi-experimental studies was carried out. Cochrane, CINAHL, Health & medical collection, Medline, and Scopus databases were consulted in January 2022. PRISMA guidelines were followed with no time limits. In total, 16 articles were included with a total of 2950 patients. Nurse-led continuity of care programs improved the monitoring and control of the disease. Positive effects were found in the quality of life of patients, and in mental health, self-efficacy, and self-care capacity dimensions. Clinical parameters such as blood pressure and lipid levels decreased. The continuity of care provided by nurses had a positive influence on the quality of life of patients with coronary artery disease. Nurse-led care focused on the needs and resources, including continuity of care, plays a key role.

Effects of Pharmacy Care Program on medication adherence in outpatients with stable coronary artery disease: a randomized controlled study

Aim. To assess the effects of the Pharmacy Care Program on medication adherence in outpatients with stable coronary artery disease (SCAD).

Material and methods. An open randomized controlled study was conducted in primary care clinic over the period of 2019-2020. All subjects (n=126) were randomized at visit 1 into the multifaceted intervention group (n=63) or control group (n=63) and invited 12 months after to visit 2. Patients of intervention group were included into the Pharmacy Care Program, which consisted of the following components: pharmacist-led counseling, provision of education materials and 7-day pillbox, weekly SMS-reminders. Medication adherence was measured initially and at the end of the study period by means of eight-item Morisky Medication Adherence Scale (MMAS-8) and Self-Efficacy for Appropriate Medication Use Scale (SEAMS).

Results. The implementation of the Pharmacy Care Program improved medication adherence in SCAD outpatients with MMAS-8 median score of 7,0-8,0 (p<0,001) and SEAMS median score of 35,0-36,0 (p=0,017). In the control group, no changes (p=0,123) in MMAS-8 score were revealed, while SEAMS score decreased from 35,0 down to 34,5 (p=0,003). The reduction in systolic blood pressure (p=0,049) and risk of urgent hospital admission (OR=0,28; 95% CI, 0,08-0,99; p=0,041) was registered in the intervention group in contrast to the control group over the 12-month period.

Conclusion. The multicomponent intervention within the Pharmacy Care Program contributed to an increase in the adherence to pharmacotherapy of outpatients with stable CAD.

Patient Adherence to Therapy After Myocardial Infarction: A Scoping Review

BACKGROUND

Patients with myocardial infarction have low adherence to secondary prevention. Patients with acute coronary syndromes usually decide not to take cardiac drugs for 7 days after discharge for various reasons and adherence rates are usually very low. The aim of this scoping review was to identify factors influencing treatment adherence after myocardial infarction and the role of interventions to improve treatment adherence.

METHODS

Two electronic databases (PubMed and Web of Science) were systematically searched for relevant published reviews of interventions for adherence after myocardial infarction. Inclusion criteria were study design: randomized control trial, systematic reviews; published in English; sample age ≥18 years. The methodological framework proposed by Arksey & O'Malley was used to guide the review process of the study.

RESULTS

Thirteen articles met the inclusion/exclusion criteria. Four of the thirteen studies assessed factors influencing patient adherence to therapy after myocardial infarction, the remaining studies examined various interventions increasing adherence to treatment after myocardial infarction.

CONCLUSION

There is a need to improve adherence of patients to treatment after myocardial infarction. Studies show that the use of modern technologies and communication with the patients by phone improve adherence to treatment.

Prevalence of pharmacological adherence in patients with coronary artery disease and associated factors

Objective:

to assess the prevalence of pharmacological adherence in patients with coronary artery disease and to identify factors associated with adherence.

Method:

a crosssectional, correlational study, including 198 patients with a previous diagnosis of coronary artery disease. Pharmacological adherence was assessed by the four-item Morisky Green test, and the factors that potentially interfere with adherence were considered independent variables. The association between the variables was determined by the Cox model, with a 5% significance level.

Results:

43% of the patients adhered to the treatment. Fatigue and palpitation, never having consumed alcohol and being served by medical insurance were associated with adherence. Lack of adherence was associated with considering the treatment complex, consumption of alcohol and being served by the public health care system. In the multiple analysis, the patients with fatigue and palpitations had a prevalence of adherence around three times higher and alcohol consumption was associated with a 2.88 times greater chance of non-adherence.

Conclusion:

more than half of the patients were classified as non-adherent. Interventions can be directed to some factors associated with lack of adherence.

Medication adherence in cardiovascular medicine

Cardiovascular disease is the leading cause of death globally. While pharmacological advancements have improved the morbidity and mortality associated with cardiovascular disease, non-adherence to prescribed treatment remains a significant barrier to improved patient outcomes. A variety of strategies to improve medication adherence have been tested in clinical trials, and include the following categories: improving patient education, implementing medication reminders, testing cognitive behavioral interventions, reducing medication costs, utilizing healthcare team members, and streamlining medication dosing regimens. In this review, we describe specific trials within each of these categories and highlight the impact of each on medication adherence. We also examine ongoing trials and future lines of inquiry for improving medication adherence in patients with cardiovascular diseases.

Development of a predictive model for integrated medical and long-term care resource consumption based on health behaviour: application of healthcare big data of patients with circulatory diseases

BACKGROUND

Medical costs and the burden associated with cardiovascular disease are on the rise. Therefore, to improve the overall economy and quality assessment of the healthcare system, we developed a predictive model of integrated healthcare resource consumption (Adherence Score for Healthcare Resource Outcome, ASHRO) that incorporates patient health behaviours, and examined its association with clinical outcomes.

METHODS

This study used information from a large-scale database on health insurance claims, long-term care insurance, and health check-ups. Participants comprised patients who received inpatient medical care for diseases of the circulatory system (ICD-10 codes I00-I99). The predictive model used broadly defined composite adherence as the explanatory variable and medical and long-term care costs as the objective variable. Predictive models used random forest learning (AI: artificial intelligence) to adjust for predictors, and multiple regression analysis to construct ASHRO scores. The ability of discrimination and calibration of the prediction model were evaluated using the area under the curve and the Hosmer-Lemeshow test. We compared the overall mortality of the two ASHRO 50% cut-off groups adjusted for clinical risk factors by propensity score matching over a 48-month follow-up period.

RESULTS

Overall, 48,456 patients were discharged from the hospital with cardiovascular disease (mean age, 68.3 ± 9.9 years; male, 61.9%). The broad adherence score classification, adjusted as an index of the predictive model by machine learning, was an index of eight: secondary prevention, rehabilitation intensity, guidance, proportion of days covered, overlapping outpatient visits/clinical laboratory and physiological tests, medical attendance, and generic drug rate. Multiple regression analysis showed an overall coefficient of determination of 0.313 (p < 0.001). Logistic regression analysis with cut-off values of 50% and 25%/75% for medical and long-term care costs showed that the overall coefficient of determination was statistically significant (p < 0.001). The score of ASHRO was associated with the incidence of all deaths between the two 50% cut-off groups (2% vs. 7%; p < 0.001).

CONCLUSIONS

ASHRO accurately predicted future integrated healthcare resource consumption and was associated with clinical outcomes. It can be a valuable tool for evaluating the economic usefulness of individual adherence behaviours and optimising clinical outcomes.