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BACKGROUND: Epilepsy requires continuous management and treatment to optimize patient outcomes. The advancement of digital health has led to the development of various mobile health (mHealth) tools designed to enhance treatment adherence among individuals with epilepsy. These solutions offer crucial support through features such as reminders, educational resources, personalized feedback, assistance with managing costs, shared decision-making, and access to supportive communities. To design effective medication adherence mHealth solutions, it is essential to evaluate the effectiveness of existing mHealth tools, understand the unique circumstances of different patients, and identify the roles of health care professionals within the digital care pathway. Existing studies on epilepsy primarily focus on self-management, whereas the effectiveness and usability of medical adherence mHealth solutions often remain overlooked. Furthermore, the involvement of health care professionals in digital care pathways for epilepsy as well as the impact of adherence mHealth solutions on the patient experience have not been adequately explored. OBJECTIVE: This study aims to assess the effectiveness of current mHealth solutions designed to improve medical adherence among patients with epilepsy. Furthermore, the study will examine the experiences of patients using mHealth solutions for maintaining medical adherence in epilepsy care. Finally, this review intends to determine the roles of health care professionals within mHealth systems aimed at supporting adherence to medication among patients with epilepsy. METHODS: A systematic literature review has been selected as the appropriate method to address the research questions, adhering to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The inclusion and exclusion criteria have been carefully selected, and both qualitative and quantitative analyses will be used to analyze the results. The expected results will mainly focus on the comparison, classification, and analysis of the effectiveness of current medical adherence mHealth tools. Moreover, the patient experiences using available medical adherence mHealth tools for epilepsy will be assessed. Finally, the role of health care professionals in the epilepsy digital care pathway will be explored, with emphasis on medical adherence. RESULTS: The initial search, full-text screening, and data extraction have been carried out. Thirty-three papers were included in the final stage of the review. The study is expected to be completed by October 2024. CONCLUSIONS: To enhance the digital care pathway for epilepsy, a medical adherence mHealth solution should be personalized, manage medications, include an alarm system, track seizures, support consultations, and offer updated treatment plans. This study aims to understand how findings from the research questions can improve mHealth solutions for individuals with epilepsy. Insights from this research on the effectiveness of current mHealth adherence solutions will provide guidance for developing future mHealth systems, making them more efficient and effective in managing epilepsy. TRIAL REGISTRATION: PROSPERO CRD4202347400; https://tinyurl.com/48mfx22e. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/55123.

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OBJECTIVES: This study investigated whether changes in loneliness and perceived social support predicted medical adherence in patients with coronary heart disease (CHD) over 12 months. Moreover, short-term and long-term buffering effects of social support on the association between loneliness and medical adherence were systematically examined. DESIGN: A three-wave longitudinal study. METHODS: Participants were 255 CHD patients with a mean age of 63 years. Medical adherence, loneliness, and perceived social support were assessed at baseline, 3 months, and 12 months. Hierarchical regression analyses were conducted to examine the influences of loneliness and social support as well as their changes on medical adherence over 12 months. Moderation analyses were performed to test buffering effects of baseline social support and its changes against loneliness and its changes, respectively. RESULTS: Changes in loneliness significantly predicted medical adherence at 12 months (ß = -.23, p = .001) but not at 3 months (ß = -.10, p = .142). Changes in social support predicted medical adherence at both 3 (ß = .23, p = .002) and 12 months (ß = .26, p = .001). Social support concurrently buffered the adverse impact of loneliness on medical adherence (B = .29, SE = .12, p = .020) at baseline but did not at 3 or 12 months (Bs = -.21 to .40, SEs = .12 to .30, ps = .177 to .847). CONCLUSIONS: Findings highlight the importance of monitoring loneliness and perceived social support continuously over time for CHD patients to promote medical adherence.

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BACKGROUND: The HOPE 4 trial (Heart Outcomes Prevention and Evaluation 4) investigated the effectiveness of a comprehensive, collaborative model of care, implemented in Colombia and Malaysia, which aimed to reduce cardiovascular disease risk in individuals with hypertension. One component of this intervention was the nomination of a treatment supporter, where participants could select a family member or friend to assist them with their care. The purpose of this study was to investigate the impact of these individuals on participant outcomes, as well as the relationship dynamics between participants and their treatment supporter. METHODS: Participants in the HOPE 4 intervention group with baseline and 12 months of follow-up were included for analysis. They were divided into Every Visit (n=339) and

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PURPOSE: This study assessed the temporal trends of uptake of national general health and cancer screening among women with breast cancer in Korea between 2009 and 2016. MATERIALS AND METHODS: We retrospectively analyzed the claims data from the Korean National Health Insurance Service database. Participants included 101,403 breast cancer patients diagnosed between 2009 and 2016. Information on participation in national screening programs, including breast cancer screening, general health, and gastric, colorectal, and cervical cancers, up to 2020 was collected. Screening participation rates within the first 2 and 5 years postdiagnosis were calculated by diagnosis year and fitted with joinpoint regression models to assess temporal trends. RESULTS: Overall, the participation rate in breast cancer screening within 2 years postdiagnosis increased from 10.9% to 14.0% from 2009-2016, with an annual percentage change (APC) of 3.7% (p < 0.05). The participation rate in breast cancer screening was lower than that in general health checkup and screening for other cancers within 2 and 5 years postdiagnosis. A steady increase in screening trends was also observed for general health, gastric, colorectal, and cervical cancers, with APC of 5.3%, 5.7%, 6.9%, and 7.6% in the 2-year postdiagnosis rate, and APC of 3.6%, 3.7%, 3.7%, and 4.4% in 5-year postdiagnosis rate, respectively. The screening rate was highest among age groups 50-59 and 60-69 in 2009 and significant upward trends were observed in all age groups for general health checkup and gastric, colorectal, and cervical cancer screening. CONCLUSION: Among female breast cancer survivors in Korea, the uptake rate of screenings for general health and various cancers, including breast, gastric, colorectal, and cervical cancers, has shown a gradual increase in recent years.

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Background Premature discontinuation of P2Y12 inhibitor therapy has been associated with adverse cardiac events, which might be preventable by improving medication persistence. Current risk models have limited ability to predict patients at risk of P2Y12 inhibitor nonpersistence. Methods and Results ARTEMIS (Affordability and Real-World Antiplatelet Treatment Effectiveness after Myocardial Infarction Study) was a randomized, controlled trial testing the impact of a copayment assistance intervention on P2Y12 inhibitor persistence and outcomes. Among 6212 patients post myocardial infarction with a planned 1-year course of P2Y12 inhibitor therapy, nonpersistence was defined as a gap in P2Y12 inhibitor filled >30 days by pharmacy fill data. We developed a predictive model for 1-year P2Y12 inhibitor nonpersistence among patients randomized to usual care. P2Y12 inhibitor nonpersistence rates were 23.8% (95% CI, 22.7%-24.8%) at 30 days and 47.9% (46.6%-49.1%) at 1 year; the majority of these patients had in-hospital percutaneous coronary intervention. Patients who received the copayment assistance intervention had nonpersistence rates of 22.0% (20.7%-23.3%) at 30 days and 45.3% (43.8%-46.9%) at 1 year. A 53-variable multivariable model predicting 1-year persistence had a C-index of 0.63 (optimism-corrected C-index 0.58). Model discrimination did not improve with inclusion of patient-reported perceptions about disease, medication-taking beliefs, and prior medication-filling behavior in addition to demographic and medical history data (C-index 0.62). Conclusions Despite addition of patient-reported variables, models predicting persistence with P2Y12 inhibitor therapy performed poorly, thereby suggesting the need for continued patient and clinician education on the importance of P2Y12 inhibitor therapy after acute myocardial infarction. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02406677.

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BACKGROUND: Black women in the Southern U.S. account for 67% of all new HIV diagnoses across women of all races and ethnicities. In comparison to women of other racial and ethnic identities, Black women disproportionately experience internalized stigma, lower levels of disclosure self-efficacy, and lower rates of medical adherence. The disclosure processes model hypothesizes that persons living with HIV can be disclosure avoidance oriented or disclosure approach oriented. Disclosure avoidance is facilitated by various forms of stigma and negative outcome expectations. While disclosure approach orientation is facilitated by factors such as positive disclosure attitudes and disclosure self-efficacy. Despite the important role of disclosure in ending the HIV epidemic, extant interventions are limited. Recent research suggests entertainment-education (EE) may be an effective intervention for HIV status disclosure. Entertainment-education is a persuasive strategy that consists of intentionally embedding health and social messages into entertaining content. METHODS: The present study evaluated the comparative efficacy of the 90 DAYS film for improving internalized HIV stigma, disclosure beliefs, positive disclosure attitudes, disclosure self-efficacy, HIV disclosure intentions, and medical adherence intentions. A randomized controlled trial was employed consisting of 130 Black women living with HIV in the Southern U.S. Participants were recruited primarily via a Qualtrics panel and randomly assigned to either view the 90 DAYS film or a standard of care brochure. RESULTS: Results indicated the EE condition significantly outperformed the brochure condition on the following outcomes: disclosure beliefs (p = .046), positive disclosure attitudes (p = .008), disclosure self-efficacy (p = .007), and intentions to disclose to an intimate partner (p = .038). Statistically significant differences were not observed for internalized stigma or medical adherence intentions. CONCLUSION: Findings suggest that EE is an effective strategy for improving psychosocial influences of disclosure and disclosure intentions. Theoretical and practical implications of this work are discussed.

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BACKGROUND: Long-term daily health monitoring and management play a more significant role in telehealth management systems nowadays, which require evaluation indicators to present patients' general health conditions and become applicable to multiple chronic diseases. OBJECTIVE: This study aims to evaluate the effectiveness of subjective indicators of telehealth chronic disease management system (TCDMS). METHODS: We selected Web of Science, ScienceDirect, Scopus, Cochrane library, IEEE, and Chinese National Knowledge Infrastructure and Wanfang, a Chinese medical database, and searched papers published from January 1, 2015, to July 1, 2022, regarding randomized controlled trials on the effectiveness of the telehealth system on patients with chronic diseases. The narrative review summarized the questionnaire indicators presented in the selected studies. In the meta-analysis, Mean Difference (MD) and Standardized Mean Difference (SMD) with a 95% CI were pooled depending on whether the measurements were the same. Subgroup analysis was conducted if the heterogeneity was significant, and the number of studies was sufficient. RESULTS: Twenty RCTs with 4153 patients were included in the qualitative review. Seventeen different questionnaire-based outcomes were found, within which quality of life, psychological well-being (including depression, anxiety, and fatigue), self-management, self-efficacy, and medical adherence were most frequently used. Ten RCTs with 2095 patients remained in meta-analysis. Compared to usual care, telehealth system can significantly improve the quality of life (SMD 0.44; 95% CI 0.16-0.73; P=.002), whereas no significant effects were found on depression (SMD -0.25; 95% CI -0.72 to 0.23; P=.30), anxiety (SMD -0.10; 95% CI -0.27 to 0.07; P=.71), fatigue (SMD -0.36; 95% CI -1.06 to 0.34; P<.001), and self-care (SMD 0.77; 95% CI -0.28-1.81; P<.001). In the subdomains of quality of life, telehealth statistically significantly improved physical functioning (SMD 0.15; 95% CI 0.02 to 0.29; P=.03), mental functioning (SMD 0.37; 95% CI 0.13-0.60; P=.002), and social functioning (SMD 0.64; 95% CI 0.00-1.29; P=.05), while there was no difference on cognitive functioning (MD 8.31; 95% CI -7.33 to 23.95; P=.30) and role functioning (MD 5.30; 95% CI -7.80 to 18.39; P=.43). CONCLUSIONS: TCDMS positively affected patients' physical, mental, and social quality of life across multiple chronic diseases. However, no significant difference was found in depression, anxiety, fatigue, and self-care. Subjective questionnaires had the potential ability to evaluate the effectiveness of long-term telehealth monitoring and management. However, further well-designed experiments are warranted to validate TCDMS's effects on subjective outcomes, especially when tested among different chronically ill groups.

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This study investigated whether loneliness would predict physical and mental health-related quality of life (HRQoL) over 9 months and examined whether medical adherence would mediate their associations in patients with coronary heart disease (CHD). The overall design is a three-wave longitudinal study. A sample of 255 outpatients with CHD was recruited from a community-based cardiac rehabilitation programme. Participants, with a mean age of 63 years, completed measures assessing loneliness, depression and physical and mental HRQoL at baseline. Medical adherence was assessed at 3 months, and physical and mental HRQoL were reassessed at 9 months. A total of 88% of participants reported moderate or high loneliness. Baseline loneliness predicted physical and mental HRQoL at 9 months after adjusting for baseline physical and mental HRQoL, respectively. The effects remained significant when depression was also adjusted. Medical adherence at 3 months partially mediated the associations of baseline loneliness with 9-month physical and mental HRQoL. Findings underline the necessity of assessing loneliness for CHD patients to promote long-term medical adherence and further improve physical and mental HRQoL.

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BACKGROUND: Little is known about the self-perceived level of disability of stroke survivors in the community. We aimed to characterise Health-related quality of life (HRQoL) 1 year after stroke and investigate how sociodemographic and stroke-related factors and medical adherence explain the self-perceived level of disability in a Korean stroke population. METHODS: This was a multicentre cross-sectional study. A total of 382 ischaemic stroke survivors at 1 year after onset from 11 university hospitals underwent a one-session assessment, including socioeconomic variables, the modified Rankin Scale (mRS), various neurological sequelae, the Morisky, Green and Levin-Medication Adherence Questionnaire (MGL), and the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) 36-items. The relationship between disability and different variables was analysed using ordinal logistic regression. RESULTS: The prevalence of disability based on global WHODAS 2.0 was 62.6% (mild, 41.6%; moderate, 16.0%; severe, 5.0%). The prevalence of severe disability was higher in participation in society (16.8%) and getting around (11.8%) than in other domains. Low MGL- motivation was the only factor determining a significant association between all six domains of disability after adjustment. Different predictors for specific domains were age, mRS, dysarthria, trouble seeing, cognition problems, and MGL-motivation for understanding and communicating; age, recurrent stroke, mRS, hemiplegia, facial palsy, general weakness, and MGL-motivation for getting around; age, education, mRS, hemiplegia, and MGL-motivation for self-care; education, recurrent stroke, hemiplegia, dysarthria, and MGL-motivation for getting along with people; age, education, income, mRS, hemiplegia, dysarthria, MGL-knowledge, and MGL-motivation for life activities; living without a spouse, mRS, hemiplegia, dysarthria, trouble seeing, cognition problems, general weakness, and MGL-motivation for participation in society. CONCLUSIONS: Self-perceived disability according to the WHODAS 2.0 at 1 year after stroke was highly prevalent. Each disability domain showed a different prevalence and associated factors. Interventions promoting medical adherence to motivation seemed to help achieve high HRQoL in all domains.

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INTRODUCTION: In heart transplant recipients, nonadherence is associated with higher risk of morbidity and mortality. RESEARCH QUESTION: Can a psychoeducational intervention enhance adherence to medical recommendations? DESIGN: We randomized 200 patients awaiting heart transplantation on the high urgency wait list to a manualized psychoeducational intervention or standard care. Follow-up continued to three years after transplantation. Primary endpoint was adherence to immunosuppressive medication, assessed at 3, 6, 12, 24, and 36 months posttransplant. Secondary endpoints were barriers to adherence during follow-up and clinical outcomes, including cardiac rejection within the first postoperative year and postoperative 3-year mortality. RESULTS: Fifty patients died before or within the first 3 months of transplantation. The primary endpoint was analyzed in 66 patients in the intervention group and 66 in the control group. Both study groups showed almost maximal adherence to immunosuppressive medication throughout follow-up, with no significant time x treatment interaction (P>0.99). Likewise, there was no significant time x treatment interaction (P=0.41) on barriers to adherence. The percentage of patients with International Society for Heart and Lung Transplantation standard grade 1 and 2 rejection was in the intervention and control groups 82.5% and 78.7%, respectively, and 8.8% and 13.1%, respectively, without significant differences between study groups (P=0.75). Considering all randomized and transplanted patients in the intervention group (N=85) and control group (N=87), postoperative 3-year mortality was 29.4% and 27.6%, respectively (P=0.82). CONCLUSIONS: Adherence to immunosuppressive medication was high, even without a complex, manualized psychoeducational intervention. The intervention had no significant positive impact on cardiac rejection and mortality.

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Kidney transplantation (KT) is the best method for kidney replacement therapy (KRT) because of patient survival rates and quality of life (QoL). Nowadays, the main cause of graft loss is antibody-mediated rejection. The treatment of humoral injury is difficult with uncertain results and still not firmly established. Therefore, appropriate adherence is crucial to prolong graft and patient survival. This study aims to evaluate the association of transplant patients' acceptance of illness, symptoms of anxiety and depression, frailty, and QoL with medication adherence in KT recipients. A total of 210 patients after KT completed the surveys. The instruments were distributed during patients' admission at the clinic by a qualified nurse, who assisted the patients' in completing the questionnaires. A cross-sectional study of KT recipients 9.45 ± 7.26 years after KT was performed. Patient adherence with medications was assessed using the Adherence to Refills and Medications Scale (ARMS). Explanatory variables were examined with validated instruments, such as the World Health Organization Quality of Life (WHOQoL-BREF) questionnaire, The Mini-Mental State Examination (MMSE), the Acceptance of Illness Scale (AIS), the Hospital Anxiety and Depression Scale (HADS), and the Tilburg Frailty Indicator (TFI) scale, respectively. Simple linear and multiple regression analyses demonstrated the positive correlation between acceptance of illness and adherence to immunosuppressive medications in a patient sample of KT recipients. The other important factor facilitating adherence to medications was linked with physical and environmental dimensions. On the other hand, frail kidney transplant patients were more likely to be non-adherent. In conclusion, identifying contributors to better medication adherence in immunosuppressive therapy is crucial in preventing transplant rejection or graft loss. In the kidney transplant population, the acceptance of illness, selected dimensions of QoL, and demographic variables associated with rural living and vocational education favored adherence behaviors.

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BACKGROUND: Thanks to the increased interest towards health and lifestyle, a larger adoption in wearable devices for activity tracking is present among the general population. Wearable devices such as smart wristbands integrate inertial units, including accelerometers and gyroscopes, which can be utilised to perform automatic classification of hand gestures. This technology could also find an important application in automatic medication adherence monitoring. Accordingly, this study aims at comparing the performance of several Machine-Learning (ML) and Deep-Learning (DL) approaches for the automatic identification of hand gestures, with a specific focus on the drinking gesture, commonly associated to the action of oral intake of a pill-packed medication. METHODS: A method to automatically recognize hand gestures in daily living is proposed in this work. The method relies on a commercially available wristband sensor (MetaMotionR, MbientLab Inc.) integrating tri-axial accelerometer and gyroscope. Both ML and DL algorithms were evaluated for both multi-gesture (drinking, eating, pouring water, opening a bottle, typing, answering a phone, combing hair, and cutting) and binary gesture (drinking versus other gestures) classification from wristband sensor signals. Twenty-two participants were involved in the experimental analysis, performing a 10 min acquisition in a laboratory setting. Leave-one-subject-out cross validation was performed for robust performance assessment. RESULTS: The highest performance was achieved using a convolutional neural network with long- short term memory (CNN-LSTM), with a median f1-score of 90.5 [first quartile: 84.5; third quartile: 92.5]% and 92.5 [81.5;98.0]% for multi-gesture and binary classification, respectively. CONCLUSIONS: Experimental results showed that hand gesture classification with ML/DL from wrist accelerometers and gyroscopes signals can be performed with reasonable accuracy in laboratory settings, paving the way for a new generation of medical devices for monitoring medical adherence.

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ABSTRACT We conducted a cross-sectional study to evaluate the impact of social distancing determined by the COVID-19 pandemic on treatment adherence using the Self-Care Inventory-revised in adults with diabetes mellitus. In type 1 diabetes, the adherence score was lower during than before social distancing.

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PURPOSE: A key component of effective diabetes care is understanding patients' perceptions about diabetes management. Patients' attitudes and intentions towards taking medical advice may predict the outcomes for effective diabetes care. This study aims to measure participants' attitudes, beliefs and intentions towards following medical advice to manage their diabetes using the Theory of Planned Behaviour (TPB). The domains of the TPB are correlated with clinical measures of diabetes to determine if these attitudes and intentions are predictive of better diabetes control. METHODS: A pilot study was conducted. A 34-item survey was designed using the Theory of Planned Behaviour (TPB) framework and administered via mail by four general practice clinics. Included participants (N = 104; response rate 29.5%) had a diagnosis of type 2 diabetes and were taking medication for glycaemic control. Scores for each domain of the TPB survey were correlated with participants' clinical indicators for diabetes: HbA1c, blood pressure, lipid profile, cholesterol, and kidney health (eGFR and albumin: creatinine ratio) and BMI. RESULTS: Participants surveyed generally reported positive attitudes and intention to follow medical advice. Medical advice was perceived to be beneficial and useful by the majority. However, in general, there was no correlation between positive intentions and improved clinical indicators of disease. Clinical indicators did not improve with duration of illness. The burden of illness is likely a mitigating factor for positive intention as participants perceive medical advice as difficult and inconvenient to follow. CONCLUSIONS: Patients' individual capacity to implement medical advice should be addressed in shared-decision making models to potentially improve patient outcomes towards therapeutic targets.

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We conducted a cross-sectional study to evaluate the impact of social distancing determined by the COVID-19 pandemic on treatment adherence using the Self-Care Inventory-revised in adults with diabetes mellitus. In type 1 diabetes, the adherence score was lower during than before social distancing.

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OBJECTIVES: The aim of the study was to determine the relationship between medication adherence (MA) and selected psychological factors in a group of patients with rheumatoid arthritis (RA). MATERIAL AND METHODS: The cross-sectional study was conducted in four rheumatology outpatient clinics in Silesia, Poland. The tests used were the Medication Adherence Questionnaire (MAQ), the Multidimensional Health Locus of Control Scale (MHLC), the Coping Inventory for Stressful Situations (CISS), and the Mindful Attention Awareness Scale (MAAS). The analysis involved 106 adult patients diagnosed with RA at least 6 months before, who were prescribed medication, with disease at any stage and with stable comorbidities. Software was used to perform analyses of frequency, basic descriptive statistics, including the Kolmogorov-Smirnov test, Student's t-test for independent samples, intergroup univariate variance, Pearson's r correlation coefficient, Spearman's rank correlation ρ coefficient, Fisher's exact test and stepwise linear regression. RESULTS: Powerful Others Health Locus of Control (PHLC), Internal Health Locus of Control (IHLC) and age of the subjects, F(3, 102) = 8.05; p < 0.001 explained 16.8% of the variation in the adherence level for the entire group. In the group of women PHLC and IHLC, F(2, 80) = 10.04; p < 0.001 were included in the model, which explained 18.1% of variation in MA. PHLC was the most significant factor in the group of women (ß = 0.55; p < 0.001) and in the entire group (ß = 0.48; p < 0.001). In the group of men, Social Diversion Style (SDS), F(1, 21) = 5.81; p = 0.02 was included in the model, which explained 17.9% of the variation in the MA level. CONCLUSIONS: The study identified some psychological predictors of adherence, which explained 16.8% of the variability. Factors increasing the likelihood of medication adherence in patients with rheumatoid arthritis include a strong belief in the power of others, low level of internal health locus of control, and advanced age.

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PURPOSE: HIV treatment involves antiretroviral therapy (ART) endeavoring to suppress viral load to an undetectable level. Virologic failure occurs when ART fails to suppress and sustain an individual's viral load to less than 200 copies/mL after 6 months of therapy. In Thailand, the data among first-line antiretroviral regimen failure and determinants remains limited, especially in urban HIV clinics. We aimed to demonstrate factors of first-line antiretroviral regimen failures in an urban HIV/AIDS clinic at Phramongkutklao Hospital. PATIENTS AND METHODS: A nested case control 1:4 study was conducted. Data were collected from the electronic patient database among naïve people living with HIV/AIDS (PLWHA), aged ≥18 years and receiving ART continuously for at least 2 years at Phramongkutklao Hospital from 1 January 2000 to 31 December 2019. Multiple logistic regression was used to identify the determinants of virologic failure. Adjusted HRs (AHRs) with 95% CIs were used to declare statistical significance. RESULTS: Of 200 PLWHA included in the study, 40 participants experienced HIV virologic failure. The median time after starting ART to virologic failure was 24 months (IQR 7-96.0). Univariate and multivariate analysis showed significant factors affecting first-line antiretroviral regimen failure included being female (37.5 vs 26.88%, adjusted odds ratio 5.08 [1.05-24.6, p-value 0.043], age ≤40 yr. (62.5 vs 49.6%, adjusted odds ratio 4.59 [1.47-14.37], p-value 0.009), CD4+count ≤200 cell/µL (77.5 vs 52.5%, adjusted odds ratio 4.83 [1.28-18.9], p value 0.02), tuberculosis (42.5 vs 7.5%, adjusted odds ratio 8.66 [2.37-31.56], p value <0.001) and initiation of ART at CD4+ count <350 cell/µL (72.5 vs 48.13%, adjusted odds ratio 31.36 [6.51-151.22], p value <0.001). Estimated prevalence of virologic failure in Phramongkutklao Hospital was 5.34%. CONCLUSION: Our study revealed factors favoring virologic failure included being female, younger age, CD4+ count <200 cells/µL, tuberculosis and initiation of ART at CD4+ count <350 cell/µL. Multidisciplinary HIV comprehensive care teams should encourage patient adherence and support patients along HIV continuum of care to prevent virologic failure and drug resistance, especially among patients initiating ART at low CD4+ count and tuberculosis co-infection.

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AIM: To estimate the adherence to treatment among type 2 diabetic patients. BACKGROUND: Treatment adherence is a complex process that is controlled by multiple factors. Lack of treatment adherence is common with patients who suffer from type 2 diabetes and is becoming a very prevalent problem especially with the patients who suffer from non-communicable diseases (NCD) worldwide. OBJECTIVE: To estimate the adherence to treatment among type 2 diabetic patients and the perception and practice of self-management among them. METHODS: A cross-sectional study using a questionnaire was conducted amongst the patients of Kasturba Medical College, Mangalore, a coastal city of southern India. The questionnaire consisted of Medical Adherence Rating Scale (MARS) to assess how adherent the patient is to the treatment and the Diabetes Self-care Questionnaire (DSMQ) for assessing the various self-care practices employed by diabetic patients. The data obtained was entered and the analysis was done by using the Statistical Package for the Social Science (SPSS) version 25.0. RESULTS: The study involved 95 patients and the mean age was found to be 50.71 ± 12.633 years. More than 60% of the study population were male and 78.9% were literate. Nearly half of the patients (49.5%) had been on treatment for a duration of >5 years. Eighty-two percent population (82.1%) were adherent to their medications. Adherence was found to be nearly eighty percent (79.5%) among the literates. CONCLUSION: Adherence was more among the males as compared to the females. Most patients in the study had been adherent to their medications prescribed to them. Most of them were on oral drugs only. The majority of the patients who had diabetes mellitus were found to have inadequate self-care management for diabetes mellitus.

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OBJECTIVE: The study was to assess the importance of the problem of medical adherence (MA) among therapists in St. Petersburg (2021). MATERIAL AND METHODS: The study involved 96 doctors of various therapeutic specialties (neurologists, therapists and rheumatologists), who were asked to respond to an original questionnaire concerning MA, that was designed in neurology department of Military Medical academy n.a. S.M. Kirov, St. Petersburg It was found that, according to experts, the main negative factors that significantly decreases MA are the high cost of the drug (40.1%) and polypharmacy (22.1%); the main property of the drug associated with high MA is the convenience of taking it - once a day (51.1%). Such drugs include, for example, a new form of the muscle relaxant tolperisone hydrochloride prolonged release 450 mg. RESULTS AND CONCLUSIONS: According to experts, the main negative factors that significantly reduce MA are the high cost of the drug (40.1%) and polypharmacy (22.1%); the main property of the drug associated with high MA on the part of patients is the convenience of its administration - 1 once a day (51.1%). Such drugs include, for example, a new form of release of the muscle relaxant tolperisone hydrochloride prolonged release 450 mg. CONCLUSIONS: A systematic approach is required to improve MA, carried out both at the state level (changing public consciousness, financing systems, etc.) and in tandem doctor-patient (moving away from paternalistic medicine, prescribing depot forms of drugs, etc.).

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OBJECTIVES: Although effective medical treatments have proved to successfully improve prognoses and outcomes of patients with coronary heart disease (CHD), low adherence to treatments is still common among patients. Deleterious impact of psychological distress on medical adherence has been recognized; however, few studies examined the influence of change in psychological distress on attenuation in adherence. This study investigated whether three common manifestations of distress (depression, anxiety, and perceived stress) and their changes predicted decline in medical adherence among CHD patient over 9 months. DESIGN: A three-wave longitudinal study. METHODS: Participants were 255 CHD patients with a mean age of 63 years. Psychological distress, medication adherence, and specific treatment adherence were assessed at baseline, 3 months, and 9 months. Hierarchical regression analyses were conducted to examine the influences of psychological distress on medical adherence over 9 months. All models were adjusted for baseline medication or specific adherence, demographic, and medical covariates. RESULTS: Baseline depression and its changes over time significantly predicted greater decline in both medication adherence (ßs = .15-.20, ps < .05) and specific adherence (ßs = -.21 to -.15, ps < .05). Anxiety showed a similar trend. For perceived stress, baseline and its change significantly predicted specific adherence over 9 months (ßs = -.30 to -.23, ps < .01), but did not predict medication adherence at 3 and 9 months. CONCLUSIONS: Findings underline the necessity of tracking various forms of psychological distress over time for CHD patients to promote medical adherence and further improve the disease prognosis.

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