Role of Health Literacy, Social Support, Patient-Physician Relationship, and Health-Related Quality of Life in Predicting Medication Adherence in Cardiovascular Diseases in Oman

The Effect of Biopsychosocial-Spiritual Factors on Medication Adherence in Chronic Diseases in Turkey Using Structural Equation Modeling

This study was to examine the factors associated with medication adherence in individuals with chronic diseases within the concept of the biopsychosocial-spiritual model. A cross-sectional study design was used. A total of 837 patients diagnosed with chronic diseases were included in this study between November 2022 and December 2023. Data were collected based on the biopsychosocial-spiritual model. Medication adherence level was evaluated with the "Medication Adherence Report Scale." "Hospital Anxiety Depression Scale," "Multidimensional Perceived Social Support Scale," and "Spiritual Well-Being Scale" were used to evaluate the psychological, social, and spiritual dimensions. Data were analyzed using descriptive statistics and a multiple linear regression model. Anxiety, social support status, and spiritual status were important correlates of medication adherence levels in individuals with chronic diseases. It was determined that variables such as age, gender, and number of chronic diseases did not affect medication adherence. Medication adherence in individuals with chronic diseases is significantly associated with psychological, social, and spiritual factors. Therefore, when evaluating medication adherence, it should not be forgotten that it is a multifaceted concept and individuals should also be evaluated from psychological, social, and spiritual perspectives.

Associations of stigma, loneliness, and treatment self-regulation with HIV medication adherence among individuals with substance use disorder using a mobile health application

Introduction

Medication adherence contributes to poor HIV outcomes, especially among people with HIV and Substance use disorder (SUD). Mobile health applications have been leveraged to improve behavioral health outcomes among this population. Our cross-sectional study examined the relationship between medication adherence with factors such as treatment self-regulation, isolation, and internalized stigma, among people with HIV and SUD using the Addiction Comprehensive Health Enhancement Support System (A-CHESS) mobile app.

Methods

A sample of 208 participants using A-CHESS to improve treatment adherence completed a survey. Adherence was measured using the Four-item Morisky Medication Adherence Scale and dichotomized (maximum score of 20 points considered as adherent). Positive and negative affect was measured separately using Positive Affect Negative Affect Schedule and loneliness was measured using UCLA three-item Loneliness Scale. Internalized stigma was measured using Internalized AIDS-Related Stigma Scale. Competence/Treatment self-regulation was measured using Treatment Self-regulation Questionnaire. Multivariable logistic regression was used to assess the associations of affect, treatment self-regulation, isolation, and internalized stigma, with adherence to antiretroviral therapy adjusting for age, education, and gender.

Results

Among 208 participants in this study, most were Black (n = 137; 66%), male (n = 156; 75%) and had a mean age of 46 (standard deviation = 11.3). The most reported substances associated with missing HIV medication were alcohol (27%) and cocaine/crack (20%). Logistic regression analysis revealed that internalized stigma was significantly associated with HIV medication adherence (OR = 0.82; 95% CI: 0.70-0.99; p = 0.034).

Conclusion

Internalized stigma was significantly associated with HIV medication adherence. Further research is needed to better understand this relationship and develop interventions addressing stigma in people with HIV and SUD.

The relationship between health literacy and health-seeking behavior amongst university students in Ghana: A cross-sectional study

Background and Aims

The crises of the last decades have provided more evidence of the need for health literacy as a measure of resilience and preparedness. In this study the relationship between health literacy and health-seeking behavior was investigated.

Methods

This study used a cross-sectional design with a questionnaire of five sections dedicated to health-seeking behavior, health literacy, family background, socioeconomic status and demographics. Health-seeking behavior was used in three dimensions namely preference for hospitals, self-medication, and herbal medicine. The questionnaire was completed by 262 students at the University of Ghana.

Results

A significant linear regression model (R = 0.39, R² = 0.15, Adjusted R² = 0.13, F = 8.89, p < 0.001) supported the relationship between health literacy and health-seeking in health facilities such as hospitals. A Pearson correlation further showed an association between self-medication and preference for herbal medication.

Conclusion

Findings support the crucial role of health literacy in timely hospital visits by patients. This implies the need to improve health literacy through education, policy, and research. This can promote prevention of diseases through timely health-seeking and improve preparedness against health crises. The study suggests health literacy should be integrated into educational curricula and regular health campaigns run by public health agencies.

Health Literacy Needs of Acute Pancreatitis Patients During the Diagnosis and Treatment Process Under the Lens of the Timing It Right Theory: A Qualitative Study

Background

The incidence and recurrence rate of acute pancreatitis (AP) continues to increase worldwide. The risk of AP attack and recurrence is closely related to the patient's health literacy. Previous studies have shown that AP patients had low levels of health literacy. Understanding patients' experience in AP's diagnosis and treatment process and their health literacy needs might significantly improve their health status.

Objective

This study aims to understand the experience of acute pancreatitis (AP) patients in the diagnostic and treatment process and explore their health literacy needs at various phases of this process.

Methods

This study utilized a qualitative approach based on Timing It Right theory. A purposive sampling strategy was employed to select 31 participants diagnosed with AP at various phases of the diagnosis and treatment process. These patients were selected from the Pancreatitis Treatment Centers of two tertiary hospitals in Eastern China. Subsequently, semi-structured in-depth interviews were conducted with the selected participants. The qualitative data was analyzed using the Colaizzi's method.

Results

The themes of AP patients' experiences and health literacy needs at various phases of the diagnosis and treatment process were presented as follows. 1. Diagnosis phase: inability to obtain disease information, psychological support seeking, and change unhealthy lifestyle; 2. Hospitalization phase: disease treatment information needs and medical professionals' healthcare. 3. Discharge Preparation phase: fear of recurrence, individualized healthy lifestyle instruction. 4. Home Recovery phase: self-management, continuous healthcare needs, and family support.

Conclusion

AP patients' HL needs and health-related problems vary during the diagnosis and treatment process. Medical professionals should comprehend AP patients' changing needs and individual differences, provide continuous healthcare, and involve families in patient management. These factors support patients' long-term self-management and preserve their overall health.

Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review

BACKGROUND

Increasingly, patient medication adherence data are being consolidated from claims databases and electronic health records (EHRs). Such databases offer an indirect avenue to gauge medication adherence in our data-rich healthcare milieu. The surge in data accessibility, coupled with the pressing need for its conversion to actionable insights, has spotlighted data mining, with machine learning (ML) emerging as a pivotal technique. Nonadherence poses heightened health risks and escalates medical costs. This paper elucidates the synergistic interaction between medical database mining for medication adherence and the role of ML in fostering knowledge discovery.

METHODS

We conducted a comprehensive review of EHR applications in the realm of medication adherence, leveraging ML techniques. We expounded on the evolution and structure of medical databases pertinent to medication adherence and harnessed both supervised and unsupervised ML paradigms to delve into adherence and its ramifications.

RESULTS

Our study underscores the applications of medical databases and ML, encompassing both supervised and unsupervised learning, for medication adherence in clinical big data. Databases like SEER and NHANES, often underutilized due to their intricacies, have gained prominence. Employing ML to excavate patient medication logs from these databases facilitates adherence analysis. Such findings are pivotal for clinical decision-making, risk stratification, and scholarly pursuits, aiming to elevate healthcare quality.

CONCLUSION

Advanced data mining in the era of big data has revolutionized medication adherence research, thereby enhancing patient care. Emphasizing bespoke interventions and research could herald transformative shifts in therapeutic modalities.

Positivity and Health Locus of Control: Key Variables to Intervene on Well-Being of Cardiovascular Disease Patients

Psychological well-being is a good predictor of several health outcomes in cardiovascular disease patients (adherence, quality of life, and healthy behaviors). The perception of health control and a positive orientation seem to have a beneficial effect on health and well-being. Therefore, the aim of this study was to investigate the role of the health locus of control and positivity in the psychological well-being and quality of life of cardiovascular patients. A total of 593 cardiac outpatients completed the Multidimensional Health Locus of Control Scale, the Positivity Scale and the Hospital Anxiety and Depression Scale at baseline (January 2017) and 9 m later (follow-up; n = 323). A Spearman rank correlation coefficient and a structural equation modeling approach were determined to explore the relationships between those variables both cross-sectionally and longitudinally. A cross-sectional correlation analysis at baseline revealed that the internal health locus of control and positivity were negatively associated with anxiety (rs = -0.15 and -0.44, ps < 0.01) and depression (rs = -0.22 and -0.55, ps < 0.01) and positively associated with health-related quality of life (rs = 0.16 and 0.46, ps < 0.01). Similar outcomes were found at follow-up and in longitudinal correlations. According to the path analysis, positivity was found to be negatively associated with anxiety and depression level at baseline (β = -0.42 and -0.45, ps < 0.001). Longitudinally, positivity was negatively associated with depression (β = 0.15, p < 0.01) and together with the internal health locus of control, was positively associated with health-related quality of life (β = 0.16 and 0.10, respectively, ps < 0.05). These findings suggest that focusing on the health locus of control and especially positivity may be crucial in enhancing the psychological well-being of patients in the context of cardiac care. The potential impact of these results on future interventions is discussed.