BACKGROUND:  Non-compliance to medications remains a challenging problem in schizophrenia. Newer strategies with high feasibility and acceptability are always being researched. This study aimed to assess the effectiveness of technology-based intervention in improving medication compliance in individuals with schizophrenia.
METHODS: This was a prospective intervention study where participants were required to use the SuperMD smartphone application (Digital-Health Technologies Pte Ltd, Kuala Lumpur, Malaysia) for a month. A change in the Medication Adherence Rating Scale-Malay Translation (MARS-M) and Malay Translation of Drug Adherence Inventory-9 (MDAI-9) scores indicated a change in compliance and attitude to medication. Positive and Negative Syndrome Scale (PANSS) was used to assess change in symptoms and insight. Medication compliance was also obtained from the SuperMD application. Paired T-test was used to evaluate the significance of changes in mean scores of research variables over the study period. Wilcoxon signed-rank test was used to analyze the subscale of MDAI-9 and the change in PANSS score. The Kruskal-Wallis test was used to determine the effect of the change of insight on the level of compliance with medication.
RESULTS: There were 36 participants in this study. The results showed statistically significant improvement in compliance (0.65, p ≤ 0.01) but not in attitude towards medication (0.78, p = 0.065). There was also an improvement in PANNS score (-2.58, P ≤ 0.01). There was no significant change in insight (χ2(2) = 3.802, p = 0.15).  Conclusion:The use of technology-based strategies like SuperMD is effective in improving medication compliance for individuals with schizophrenia.

UNASSIGNED: This study aimed to investigate the management of vascular risk factors, with a specific focus on understanding the various factors affecting risk factor control through an in-depth analysis of clinical data and a longitudinal follow-up of patients who have experienced ischemic strokes.
UNASSIGNED: A total of 1,572 participants were included in the analysis. We assessed thresholds for blood pressure (BP), low-density lipoprotein cholesterol (LDL-C), and glycated hemoglobin (HbA1c) levels to uncover the contextual conditions and factors affecting vascular risk factor control. Moreover, the study also scrutinized medication compliance at intervals of 3, 6, and 12 months post-onset. Logistic regression was used to adjust for confounding factors.
UNASSIGNED: At 3, 6, and 12 months, BP,LDL, hemoglobin control targets were achieved in 50.7, 51.8, and 50.6%; 51.5, 59.4, and 50.6%; 48.1, 44.0, and 48.4%,respectively. Notably, age was associated with the achievement of BP control (odds ratio [OR], 0.96; 95% confidence intervals [CI], 0.94-0.98; p < 0.0001). Ethnic minorities (OR, 4.23; 95% CI, 1.19-15.09; p = 0.02) and individuals with coronary heart disease (OR, 0.5; 95% CI, 0.3-1.0; p = 0.05) experienced decreased BP control ratios. A previous history of stroke (OR, 1.7; 95% CI, 1.0-2.8; p = 0.03) and unrestricted alcohol consumption (OR, 3.3; 95% CI, 1.0-11.1; p = 0.05) was significantly associated with the achievement of lipid control. Furthermore, lifestyle modifications were significantly correlated with the achievement of BP control (OR, 0.19; 95% CI, 0.12-0.30; p < 0.01), blood glucose control (OR, 0.03; 95% CI, 0.01-0.08; p < 0.01), and blood lipid control (OR, 0.26; 95% CI, 0.16-0.42; p < 0.01). The absence of regular physical activity was associated with lower rates of glycemic (OR, 0.14; 95% CI, 0.06-0.36; p < 0.01) and lipid controls (OR, 0.55; 95% CI, 0.33-0.90; p = 0.01). Over time, overall medication compliance declined.
UNASSIGNED: Within the cohort of patients under medication, the compliance rate concerning vascular risk factors remains unsatisfactory. Attention should be paid to compliance with secondary prevention medications and enhance the control of vascular risk factors, as compliance emerges as the key to effective prevention.

Schizophrenia spectrum disorders are psychiatric conditions associated with an increased risk of all-cause mortality; patients with these conditions have a shortened average lifespan compared to the general population. First-line treatment for schizophrenia spectrum illness consists of atypical antipsychotics, which are associated with well-understood side effects, including metabolic syndrome, anticholinergic effects, and extrapyramidal symptoms. We are presenting a case of a 36-year-old patient treated with the atypical antipsychotic risperidone who experienced treatment-associated urinary incontinence. In the current literature, atypical antipsychotic-induced urinary incontinence is not well-documented in patients with schizophrenia spectrum disorder. Incontinence is often a topic of societal shame for many patients, and as a side effect, it may influence medication compliance. In the treatment of schizophrenia spectrum disorders, compliance is essential to prevent psychosis relapse in patients, so prescribers must be aware of this potential side effect and how to manage it. Upon a patient presenting with incontinence suspected to be due to atypical antipsychotics, other more common causes of incontinence must first be ruled out. Then, further management can consist of stopping the offending medication or adding a medication to address the incontinence. In this case, our patient had an extended history of suboptimal treated schizoaffective disorder, and risperidone was providing significant improvement; therefore, to ensure continued improvement, we initiated oxybutynin to manage urinary incontinence.

OBJECTIVE: Limited evidence on home care and need for long-term individualized follow-up highlight the importance of developing an Internet-based follow-up platform to support caregivers of children with Bronchiolitis Obliterans (BO). This Study aims to explore and test the potential benefits of this platform by comparing family management, medication compliance and clinical systems.
METHODS: A two-arm, single-blind randomized controlled trial was conducted on 168 children with BO and their families from January 2022 to October 2022. Families were randomly divided into Internet-based follow-up group and conventional follow-up group with a ratio of 1:1. Scores of family management measures (FaMM), 8-item of Morisky Medication Adherence (8-MMAS) and BO clinical symptoms of both groups were collected at three points of time: the day of discharge (T1), 3 months after discharge (T2), and 6 months after discharge (T3). The changes of each group due to intervention were compared by repeated-measures ANOVA.
RESULTS: 90 families completed the trial, including 48 in the Internet-based follow-up group and 42 in the conventional follow-up group. The results showed a significant difference in the group-by-time interaction on the scores of Child\'s Daily Life, Condition Management Ability and Parental Mutuality (p < 0.05). No group-by-time effect was found on the scores of View of Condition Impact and Family Life Difficulty. Scores of BO clinical symptoms and MMAS-8 showed intra-group, inter-group, and group-by-time effects.
CONCLUSIONS: The Internet-based follow-up platform can empower caregivers in enhancing effective family management, improving medication compliance in children with BO, and relieving patients\' clinical symptoms.
BACKGROUND: Chinese Clinical Trials Registry of ChiCTR2200065121 (04/28/2022).

Atopic dermatitis is a chronic dermatologic condition requiring extended treatment times with topical application of medications. While atopic dermatitis treatments can be highly effective when used as directed, oftentimes patients do not respond as expected, raising concern for nonadherence versus nonresponse. This chapter aims to describe what is currently known about adherence in atopic dermatitis and to discuss strategies to improve adherence in order to improve treatment outcomes. Whether intentional or unintentional, nonadherence to treatment can limit patient outcomes of this disease for a variety of reasons. These include frustration with medication efficacy, inconvenience, and fear of side effects. Other factors include forgetfulness, financial burden of treatment, lack of trust in the physician, dislike of prescribed medication, or lack of understanding of disease or treatment. Several interventions have been studied with the aim of improving adherence in atopic dermatitis-such as educational workshops for patients and caregivers, earlier follow-up visits, and text messages reminders-however, these are often limited by sample size and power. Further research is needed to study both specific patterns of nonadherence in atopic dermatitis, as well as methods to improve them.

UNASSIGNED: To investigate the status of medication adherence and various types of risky behaviors of schizophrenia patients in a certain area of western China and to explore accordingly the correlation between the two.
UNASSIGNED: A total of 292 667 patients with schizophrenia were enrolled in a follow-up survey between 2006 and 2018. In addition, based on the outcome-wide analysis strategy, a multivariate Cox proportional risk regression model was used to estimate and compare the impact of medication adherence on different types of risky behaviors in schizophrenia patients.
UNASSIGNED: In this 13-year prospective cohort, 65 175 patients (31.4%) showed good medication adherence, while 142 394 patients (68.6%) showed poor medication adherence. The incidence rates of various risky behaviors during the follow-up period were as follows, minor nuisances, 12.25%, violation of the Law of the People\'s Republic of China on Penalties for Administration of Public Security (APS law), 3.82%, violation of criminal law, 0.94%, suicide completed, 0.28%, self-harm, 1.42%, and attempted suicide, 0.82%. Schizophrenia patients who had poor medication adherence had higher risks of committing violence against others and self-inflicted injury compared to patients with good medication adherence did, with the associated effects being minor nuisances (hazard ratio [HR]=1.31, 95% confidence interval [CI]: 1.27-1.35), violation of APS law (HR=1.47, 95% CI: 1.38-1.56), violation of criminal law (HR=1.17, 95% CI: 1.05-1.31), and self-harm (HR=1.43, 95% CI: 1.32-1.56), respectively, while the risk of suicide completed is lower in schizophrenia patients with poor medication adherence than that in patients with good medication adherence (HR=0.56, 95% CI: 0.47-0.66). There was no statistically significant association between attempted suicide and medication adherence.
UNASSIGNED: There are variations in the direction and strength of the association between medication adherence and different types of risky behaviors and further research is needed to elucidate the mechanisms of the association.

Medication adherence plays an important role in improving health outcomes related to diabetes and comorbidity. The potential factors influencing medication adherence and how they contribute to health behaviors have not been synthesized to date. This review synthesized qualitative studies that identified factors influencing medication adherence among adults living with diabetes and comorbidity.
Twenty-eight findings were extracted and synthesized into four themes: perceived support, lack of knowledge, medication issues, and the importance of routine. The findings highlight the factors that support medication adherence and areas that can be targeted to support and promote medication adherence. The findings also support the potential role of healthcare providers in supporting people living with diabetes and comorbidity to adhere to and maintain medication regimes. Several factors were identified that are amenable to intervention within the clinical practice setting and have the potential to enhance medication adherence and improve health outcomes for people living with diabetes and comorbidities. The development of acceptable and effective interventions could have a positive effect on medication adherence and health outcomes.

UNASSIGNED: The objective of this study was to identify and determine factors associated with patients\' ophthalmic adherence in common ocular conditions from randomized clinical trials (RCT).
UNASSIGNED: A univariate analysis with proportions, a bivariate analysis using polychoric correlations, and logistic regression (LR) models were used. The collected dataset was made up of records from RCT. Using three validated LR models, factors were identified and ranked based on their adjusted odds ratio and their statistical significance to adherence.
UNASSIGNED: A total of 1,087 valid patients were included in this analysis, of which 88.96% presented adherence. All models were calibrated, had a good performance, were well specified and cost-effective using the Hosmer-Lemeshow test, metrics for class imbalance, link test approach and Akaike\'s criteriums, respectively.
UNASSIGNED: We identified as determinants for encouraging good ophthalmic adherence the adverse events presented, duration of the study, female sex, and older age; other determinants such as medical condition, protocol treatment, type of treatment and disease are all risk factors for adherence. Improvements in ophthalmic adherence may be achieved by focused attention to young male patients with chronic degenerative diseases such as glaucoma or ocular hypertension (especially those who need combination therapy) and developing medications with reduced side effects.

BACKGROUND: Good medication compliance is very important for the prognosis of children with epilepsy. We aimed to evaluate the status and influencing factors of medication compliance in children with epilepsy and to provide insights to the clinical nursing care of children with epilepsy.
METHODS: We selected epileptic children admitted to Children\'s Hospital of Nanjing Medical University from February 1, 2022 to August 31, 2022. Self-designed questionnaire and medication compliance scale were used to evaluate the characteristics and medication compliance of children with epilepsy. Pearson correlation analysis and multivariate logistic regression were used to analyze the influencing factors of medication compliance.
RESULTS: A total of 156 children with epilepsy were included, the incidence of poor compliance in children with epilepsy was 37.18%. Pearson correlation analysis indicated that age(r = 0.622), courses of epilepsy(r = 0.553), parental education level(r = 0.506), monthly household income(r = 0.652) and number of drugs taken(r = 0.577) were correlated with the compliance(all P<0.05). Logistic regression analyses indicated that age ≤ 6 y(OR = 2.104, 95%CI: 1.712 ~ 2.527), courses of epilepsy ≤ 3 years(OR = 2.661, 95%CI: 2.089 ~ 2.941), low parental education level(OR = 1.977, 95%CI: 1.314 ~ 2.351), monthly household income ≤ 5000 RMB(OR = 2.812, 95%CI: 2.194 ~ 3.181), number of drugs taken ≥ 3(OR = 3.025, 95%CI: 2.336 ~ 3.475) were the influencing factors of medication compliance in children with epilepsy(all P<0.05).
CONCLUSIONS: The medication compliance of children with epilepsy needs to be improved, and the medication compliance of children is affected by age, courses of epilepsy, parental education level, monthly household income and number of drugs taken. Clinical medical personnel take targeted nursing measures against these factors to improve the medication compliance of children with epilepsy.

Background: Non-communicable diseases (NCDs) are a leading cause of death globally and disproportionately affect those in low- and middle-income countries lower-middle-income countries. Poor medication adherence among patients with NCDs is prevalent in India due to lack of initiation, missed dosing or cessation of treatment, and represents a growing healthcare and financial burden. Objective: This study aimed to identify factors influencing medication adherence in adults with NCDs in India. Methods: We performed a cross-sectional study, conducting secondary data analysis on the second wave of the World Health Organisation\'s \'Study on global AGEing and adult health (SAGE)\', a survey that collected data from predominantly older adults across India. Bivariate analysis and multivariate logistic regression modelling were conducted to specifically interrogate the reasons for lack of initiation and cessation of treatment. Reporting of this study was informed by the STROBE guidelines. Results: The average medication adherence rate was 51% across 2,840 patients with one or more NCDs, reflecting non-initiation and lack of persistence of treatment. The strongest factor significantly predicting non-adherence to medication across these components was multimorbidity (odds ratio 0.47, 95% CI 0.40-0.56). Tobacco use (OR = 0.76, CI 0.59-0.98) and never having attended school (OR = 0.75, CI 0.62-0.92) were significantly associated with poor medication adherence (p < 0.05) while rural living (OR = 0.70, CI 0.48-1.02), feelings of anxiety (OR = 0.84, CI 0.66-1.08) and feelings of depression (OR = 0.90, CI 0.70-1.16) were factors lacking statistically significant association with medication adherence on multivariate analysis. Older age (OR = 2.02, CI 1.51-2.71) was significantly associated with improved medication adherence whilst there was a weak association between increased wealth and improved medication use. Limitations: The SAGE2 survey did not capture whether patients were taking their medication doses according to prescribed instructions-as a result our findings may under-estimate the true prevalence of medication non-adherence. Conclusion: Our analysis provides evidence that poor medication adherence in India is multifactorial, with distinct socioeconomic and health-system factors interacting to influence patient decision making. Future large-scale surveys interrogating adherence should assess all components of adherence specifically, whilst public health interventions to improve medication adherence should focus on barriers that may exist due to multimorbidity, comorbid depression and anxiety, and low educational status.