Factors affecting medication adherence in community-managed patients with hypertension based on the principal component analysis: evidence from Xinjiang, China

Investigating medication adherence among Taiwanese patient with hypertension, hyperlipidemia, and diabetes: A pilot study using the Chinese version of a Two-Part Medication Nonadherence Scale and the NHI MediCloud system

BACKGROUND

This pilot study aimed to investigate medication nonadherence among Taiwanese patients with diabetes, hypertension, and hyperlipidemia using the Chinese version of the Two-Part Medication Nonadherence Scale (C-TPMNS) and the National Health Insurance (NHI) Medicloud system. The study revealed insights into the factors contributing to nonadherence and the implications for improving patient adherence to medications for chronic conditions. However, the small sample size limits the generalizability of the findings. Additionally, the study identified the need for further research with larger and more diverse samples to validate the preliminary findings.

METHODS

The study conducted surveys individuals in central Taiwan who received three-high medications and those who returned expired medications from chain pharmacies. A structured questionnaire including the C-TPMNS was administered, and additional data on medical history and HbA1c, LDL, and blood pressure levels were collected from the NHI Medicloud system. Data analysis was performed using multiple ordered logistic regression and Wald test methods. Setting interpretation cutoff point to determine medication nonadherence.

RESULTS

The study found that 25.8% of participants were non-adherent to prescribed medications. Non-adherent individuals had significantly higher systolic blood pressure (SBP ≥ 140 mmHg) than adherent participants. Non-adherence was also associated with factors such as lower education, single status, living alone, abnormal glucose postprandial concentration, and triglyceride levels. The C-TPMNS demonstrated good reliability (Cronbach's alpha = 0.816) and validity (area under the ROC curve = 0.72).

CONCLUSION

The study highlighted the complexity of medication nonadherence with diverse determinants and emphasized the importance of tailored interventions. The findings underscored the need for region-specific research to comprehensively address medication nonadherence, especially focusing on adherence to medications for hypertension, hyperlipidemia, and diabetes. The study also identified the need for larger, more diverse studies to validate and expand upon the initial findings and emphasized the importance of pharmacist interventions and patient empowerment in managing chronic conditions and improving overall health outcomes.

Factors related to treatment adherence among hypertensive patients: A cross-sectional study in primary healthcare centers in Taif city

BACKGROUND

Antihypertensive medications must be taken as prescribed since noncompliance can result in the lack of hypertension (HTN) control. The aim of this study was to determine the factors that influence adherence to treatment by HTN patients in Taif city.

MATERIALS AND METHODS

A cross-sectional study was undertaken in basic healthcare centers in Taif city, Saudi Arabia. A simple random sampling method was used to select participants from primary healthcare centers. Data was obtained on patients' demographic characteristics, smoking habits, anti-HTN drugs and treatment characteristics, barriers to medication compliance, systolic and diastolic blood pressure (BP), anthropometric measurements, and family history of HTN and diabetes mellitus (DM). We used the 4-item Morisky Medication Adherence Scale (MMAS-4™) as a valid questionnaire to assess medication adherence. Data were analyzed using SPSS. Qualitative data was presented as numbers and percentages, and Chi-squared test was applied to test the relationship between qualitative variables. For quantitative data, mean and standard deviation was calculated. Multiple logistic regression analysis were performed to determine correlates of treatment adherence, and results were presented as Odds Ratio (OR) and 95% confidence interval (CI) for OR.

RESULTS

Of the 549 patients included, 36.8% did not have a regular check of their BP at home and the majority had a family history of HTN and diabetes. About 86% patients showed a high level of adherence. Income ≥5000 SAR, age ≥60 years, female gender, who were being married, having ≤10 family members, being unemployed, and never having smoked were associated with high adherence level. The most important factor that affected MMAS scores was the regular BP checks at home.

CONCLUSION

When patients attend routine follow-up clinics, it is critical to strengthen reminder mechanisms and provide regular counseling.

The Use of Machine Learning for the Care of Hypertension and Heart Failure

Machine learning (ML) is a branch of artificial intelligence that combines computer science, statistics, and decision theory to learn complex patterns from voluminous data. In the last decade, accumulating evidence has shown the utility of ML for prediction, diagnosis, and classification of hypertension and heart failure (HF). In addition, ML-enabled image analysis has potential value in assessing cardiac structure and function in an accurate, scalable, and efficient way. Considering the high burden of hypertension and HF in China and worldwide, ML may help address these challenges from different aspects. Indeed, prior studies have shown that ML can enhance each stage of patient care, from research and development, to daily clinical practice and population health. Through reviewing the published literature, the aims of the current systemic review are to summarize the utilities of ML for the care of those with hypertension and HF.

Prevalence of non-adherence to antihypertensive medication in Asia: a systematic review and meta-analysis

Background Hypertension and its associated complications are one of the leading causes of morbidity and mortality in Asia. Racial disparities in terms of treatment outcomes among hypertension patients have been reported in literature with Asian patients resulting in poorer treatment outcomes. Non-adherence to antihypertensive therapy is frequently associated with poor treatment outcomes. Aim of the review The aim of this review was to estimate the prevalence of non-adherence to antihypertensive medications among patients with hypertension residing in Asia. Method PubMed, Google Scholar, MEDLINE, Embase, Scopus, CINHAL and Cochrane library were searched for studies published between 2000 and 2019 involving hypertensive patients. Studies investigating the prevalence of medication non-adherence in Asian countries, rated either good or fair on National Institute of Health quality assessment tool and published in English language were included in our review. Data were extracted by one author and checked by another using a structured and pilot-tested data extraction sheet. A random-effects meta-analysis was performed using STATA version 14.3®. Results Sixty-Six studies from 22 Asian countries including 2,532,582 hypertensive patients were included. Mean (± SD) age of participants was 58(± 6) years. Overall, the estimated prevalence of non-adherence to antihypertensive medication in Asia was 48% (95% CI: 41-54, P = 0.001). The rate of non-adherence was higher among females 49% (95% CI: 41-56, P = 0.001) compared to males 47% (95% CI: 40-53, P = 0.001). As per the region, the highest prevalence of non-adherence was found in South Asia 48% (95% 44-51, P = 0.877) followed by East Asia 45% (31-59, P = 0.001) and the Middle East 41 (95% 30-52, P = 0.001). Similarly, higher rate of non-adherence was observed in low and lower middle-income countries i.e. 50% (95% CI: 47-54, P = 0.220) as compare to upper-middle and high-income countries i.e. 37% (95% CI: 25-49, P = 0.001) and 44% (95% CI: 29-59, P = 0.001) respectively. Conclusion The prevalence of non-adherence to antihypertensive medication is high in Asia. This may partly explain poor treatment outcomes and incidence of higher mortality rate in Asia frequently reported in the literature. There is a need to implement appropriate policies and clinical practices to improve medication adherence.

A Clinical Prediction Model of Medication Adherence in Hypertensive Patients in a Chinese Community Hospital in Beijing

BACKGROUND

Hypertension remains a global health problem. Since, there is a significant positive correlation between antihypertensive medication adherence and blood pressure control, it is therefore of great importance to elucidate the determinants of adherence to antihypertensive medications among hypertensive patients.

METHODS

Hereby, we retrospectively analyzed the medical records of a hypertensive cohort recruited from a community hospital in Beijing, China, to investigate the factors affecting adherence to antihypertensive medications using decision trees. In addition, all data were assigned into a training set (75%) and testing set (25%) by the random number seed method to build and validate a compliance predictive model. We identified that how many times patients became nonadherent to antihypertensive medications in the year before the first prescription, types of antihypertensive drugs used in the year before the first prescription, body weight, smoking history, total number of hospital visits in the past year, total number of days of medication use in the year before enrollment, age, total number of outpatient follow-ups in the year after the first prescription, and concurrent diabetes greatly affected the compliance to antihypertensive medications.

RESULTS

The compliance predictive model we built showed a 0.78 sensitivity and 0.69 specificity for the prediction of the compliance to antihypertensive medications, with an area under the representative operating characteristics curve of 0.810.

CONCLUSIONS

Our data provide new insights into the improvements of the compliance to antihypertensive medications, which is beneficial for the management of hypertension, and the compliance predictive model may be used in community-based hypertension management.

Determinants of medication adherence among hypertensive patients using the Pender's health promotion model

BACKGROUND

Poor adherence in treatment and medication is a global issue in curing the chronic diseases such as hypertension. The present study was conducted to identify the factors related with medication adherence among hypertensive patients referred to the health centers of Borujerd based on the Pender's Health Promotion Model (HPM).

MATERIALS AND METHODS

This cross-sectional study was conducted on 463 patients who were referred to the comprehensive health centers of Borujerd city by cluster sampling method in 2019. The data were collected using a questionnaire including demographic variables and Pender's HPM constructs. Data were analyzed by SPSS 18 software using Pearson correlation coefficient and linear regression.

RESULTS

The mean and standard deviation of the participants' age was 63.29 ± 11.2 years. The results showed that hypertensive patients had a relatively desirable level of medication adherence behavior. Perceived barriers (β = -0.169), perceived self-efficacy (β = 0.196), activity related affect (β = 0.232), and following medication regimen (β = 0.225) were the best predictors of performing the medication adherence behavior. In total, different structures of the HPM explained 42.2% of the variation of medication adherence behavior changes.

CONCLUSIONS

According to the findings, the design of educational programs using HPM is recommended to increase the medication adherence among hypertensive patients.

Analysis of Adherence to Antihypertensive Drugs in Chinese Patients with Hypertension: A Retrospective Analysis Using the China Health Insurance Association Database

OBJECTIVE

To analyze the adherence to antihypertensive drugs in Chinese patients with hypertension and the factors associated with the drug adherence.

METHODS

The data for this analysis were obtained from the 2014 China Health Insurance Association (CHIRA) database. The study included 64,576 patients aged ≥18 years who were prescribed one of the seven antihypertensive drugs included in the study in their first prescription in 2014 and were observed for ≥180 days. The medicine possession ratio (MPR) was calculated and taken as the measure of treatment adherence. MPR values <0.3, 0.3 to <0.5, 0.5 to <0.8, and ≥0.8 were considered treatment adherence very low, low, intermediate, and high, respectively. Descriptive statistics were used to present baseline data and treatment adherence rate. Multiple regression models were used to determine independent factors which can affect the treatment adherence rate. P-value <0.05 was considered significant.

RESULTS

Among the study antihypertensive drugs, amlodipine (33.98%), metoprolol (25.04%), and nifedipine (17.15%) were the frequently prescribed drugs. Nifedipine controlled release tablet had the highest MPR (0.61), followed by valsartan (0.53), valsartan/amlodipine fixed-dose combination (0.50), indapamide (0.40), and amlodipine (0.39), whereas benazepril (0.27) and metoprolol (0.19) had the lowest MPR. Higher reimbursement ratio, regular tertiary hospitals visits, lower age, and lower daily medical cost positively affected treatment adherence, whereas longer duration of illness and higher daily average cost affected treatment adherence negatively.

CONCLUSION

Our study assessed that prescribing more cost-effective, long-acting antihypertensive drugs, and raising the reimbursement ratio were associated with a better treatment adherence in Chinese patients with hypertension.

Perceived Illness and Treatment Adherence to Hypertension Among Patients Attending a Tertiary Hospital in Kathmandu, Nepal

INTRODUCTION

Hypertension (HTN) is a silent killer, accountable for life-threatening complications. An individual's illness perception may affect adherence to treatment which is crucial to prevent complications of HTN. The objective of this study was to identify illness perception and treatment adherence among patients with HTN in a tertiary hospital in Kathmandu, Nepal.

METHODS

Descriptive correlational study was conducted in the out-patient department of Manmohan Cardiothoracic Vascular and Transplant Center, Kathmandu Nepal. Non-probability purposive sampling was used. A face-to-face interview was conducted from September to December 2018, using a structured questionnaire that included socio-demographic variables, illness perception questionnaire (revised) and Hill bone compliance to high blood pressure therapy scale. Data analysis was done by using descriptive and inferential statistics (chi-square test, Spearman rank correlation).

RESULTS

Among 204 participants, 51% were male, 77% were literate, mean ± S.D. age was 60±12. About 72% experienced headache and 88% said that headache is related to HTN. Behavioural factors and psychological factors were regarded as the leading cause of HTN. Almost 63% participants believed HTN as highly threatening illness. Higher scores in timeline (acute/chronic), personal control, and treatment control revealed that patients believed HTN as a chronic disease with a higher rate of personal and treatment control. Regarding treatment adherence, the mean score was 16.58 (SD = 2.08), and only 14.7% had perfect adherence. Participants were more adherent to medication and appointment keeping rather than reduce salt intake. Duration of HTN diagnosis (p=0.027) and duration under HTN medication (p= 0.021) were found to be significantly associated with treatment adherence. There was a significant positive correlation between illness perception and treatment adherence (ρ = 0.282, p<0.01).

CONCLUSION

Illness perception and treatment adherence are correlated. Hence, it is beneficial to improve illness perception to achieve perfect treatment adherence. Reinforcement is essential to maintain adherence to both medications and behaviour therapy.

Utilisation of national community-based blood pressure monitoring service among adult Chinese and its association with hypertension treatment and blood pressure control-a mediation analysis

Background

Community-based blood pressure (BP) monitoring plays an important role in national hypertension management in China. However, the utilisation of this service, together with its associations on hypertension treatment and BP control has not been fully investigated.

Methods

The study population was from the China Health and Retirement Longitudinal Study (CHARLS) in 2015. Cross-sectional data of 2487 hypertensive persons were included as subjects. Stratified sample households were selected from 450 villages or communities of 150 counties from 28 provinces. Finally, 21,097 individuals were interviewed successfully. The main outcome was hypertension control (having average BP under 140-90 mmHg). The main independent variable was utilisation of community-based BP monitoring service (having BP examination once a season or more). The mediators were hypertension treatment (currently taking any antihypertensive medicine) and lifestyle factors (alcohol intake, physical activity, smoke). We performed chi-square and binary logistic regression to analyse associations of BP monitoring with hypertension treatment and blood pressure control. The mediation model was examined by the Sobel test.

Results

Mean age of the population was 64.2 (0.24). The percentage of males was 42.8%. Prevalence of community-based BP monitoring was 32.1%. Patients who used this service had higher odds of hypertension treatment (β = 1.259, P < 0.01, OR = 3.52, CI = 2.467–5.030), and BP control (β = 0.220, P < 0.05, OR = 1.246, CI = 1.035–1.499). Medication treatment played a complete mediating role between monitoring and hypertension control in this study (t = 4.51, P < 0.001). Those who underwent BP monitoring tended to be those who did not finish primary school education (χ2 = 30.300, P < 0.001), had poorer household income (χ2 = 18.298, P < 0.05), and lived in rural areas rather than in urban areas (χ2 = 40.369, P < 0.001).

Conclusions

Although the use of BP monitoring service had no direct effect on BP control, it had a positive effect on BP control through the full mediation effect of hypertension treatment. Termly BP monitoring by community-based health expertise among hypertensive persons, for instance, once a season, can be recommended to public health policymakers for BP control through instructions on medication treatment and health behaviours.

Decomposing the effect of drug benefit program on antihypertensive medication adherence among the elderly in urban China

PURPOSE

Hypertension is a rapidly growing epidemic in People's Republic of China, yet it remains inadequately controlled. This study aimed to identify the relative contributions of program effects and patients' characteristics to the differences in antihypertensive medication nonadherence between drug benefit program enrollees and non-enrollees.

PATIENTS AND METHODS

Data were from a cross-sectional survey of 1,969 community-dwelling elderly adults with hypertension. Self-reported adherence was measured following previous studies in People's Republic of China. The Blinder-Oaxaca nonlinear decomposition method was used to identify the relative contributions of program effects and patients' individual characteristics.

RESULTS

Eleven percent of the drug benefit program enrollees were nonadherent to their medication, while 17% of non-enrollees were. Blinder-Oaxaca decomposition identified that over 60% of the gap between the two groups was due to the program effects (P=0.024). The rest could be explained by differences in observable characteristics (P<0.001), such as diabetic status, duration of hypertension, and blood pressure control.

CONCLUSION

The study confirmed that drug benefit program enrollees were more likely to be adherent to their antihypertensive medication than non-enrollees in the context of People's Republic of China.

Integrating factors associated with hypertensive patients' self-management using structural equation modeling: a cross-sectional study in Guangdong, China

PURPOSE

Hypertension is considered a major public health issue worldwide because of its high frequency and concomitant risk of cardiovascular disease (CVD). Chronic-disease self-management has been proven to be cost-effective, but influencing factors and pathways remain complex and unclear. The purpose of this study was to integrate factors associated with hypertension self-management to provide a theoretical reference for community hypertension management.

METHODS

A total of 268 community-dwelling hypertensive patients were enrolled in a cross-sectional study conducted from July to September in 2017. A questionnaire on demographic-disease characteristics, disease knowledge, social support, self-efficacy, and self-management was completed by patients. Structural equation modeling was performed to verify multiple factors in self-management based on the self-efficacy theory.

RESULTS

The final model showed a good fit to sample data, ie, younger patients with lower CVD risk, shorter disease course, and less disease knowledge and social support predicted less self-efficacy, less hypertension self-management, and less controlled hypertension. Furthermore, social support was negatively correlated with age, CVD risk, and disease course and positively with disease knowledge.

CONCLUSION

Medication adherence is the lowest dimension in self-management, and self-efficacy is vital to consider in the development of self-management interventions. Self-management education and mutual-help groups may be potential solutions with the power of technology. Younger patients with lower CVD risk and shorter disease course are vulnerable and need more attention.