Enhance Treatment Adherence Research Articles

HIV Support Group Care Utilization and its Effect on Treatment Outcome Among HIV Patients on Antiretroviral Therapy: Evidence from Ethiopia Population-Based HIV Impact Assessment.

In the realm of HIV care, support groups play a pivotal role by bringing together individuals living with HIV to share experiences and receive guidance from healthcare professionals. These groups are renowned for their substantial benefits, including improving emotional well-being, enhancing treatment adherence, and fostering a strong sense of community. However, despite these advantages, there is a notable gap in Ethiopia regarding concrete evidence of their impact on key treatment outcomes. This study aims to bridge this gap by exploring how support group care influences viral suppression rates among HIV patients. The study was conducted among 259 HIV-positive individuals on ART using the EPHIA survey, employing a two-stage, stratified sampling design across urban areas in nine regions and two city administrations. Data analysis was performed using STATA version 17, and multicollinearity was assessed (VIF = 1.07). A multivariate logistic regression model was fitted, with a p-value of ≤ 0.05 considered statistically significant. Results showed that 25.12% of participants utilized HIV support groups. Those who participated in support groups were 3.14 times more likely to achieve viral load suppression compared to non-participants (AOR = 3.14, 95% CI: 1.35-6.30). This study highlights that HIV support groups significantly boost viral suppression rates, underscoring the importance of integrating these groups into standard treatment protocols. These findings underline the need for continued research to assess long-term outcomes and further optimize the effectiveness of support group care in enhancing HIV treatment outcomes.

Cultural adaptation of an internet-based self-help app for grieving Syrian refugees in Switzerland.

Loss and grief pose significant challenges for victims of armed conflicts, such as Syrian refugees. Internet-based interventions (IBIs) present a promising solution to address this treatment gap and provide adequate support. However, research on grief, grief support, and IBIs remain largely limited to Western cultural contexts, and culturally adapted IBIs for grief are needed. Following the Reporting Cultural Adaptation in Psychological Trials (RECAPT) framework, this study aimed to develop and further adapt a culturally sensitive IBI for bereaved Syrian refugees in Switzerland. The study employed qualitative methods. Initially, formative research was conducted to create a first version of the intervention, including semi-structured interviews with 10 experts to identify necessary cultural adaptations. The preliminary version of the intervention was then presented to six potential users and three experts to gather feedback on additional cultural adaptations through two iterative feedback rounds. The first round involved semi-structured interviews using a "paper version" of the intervention, followed by a second round with a walk-through think-aloud protocol with a beta version. Data were analyzed using framework analysis. The input from various key informants at different stages of development provided valuable feedback on surface and deep structure adaptation, which may enhance treatment adherence, acceptance, and motivation. These findings provide important insights and recommendations for the cultural adaptation of interventions and may help address the treatment gap for bereaved Syrian refugees.

A conceptual framework for integrating digital transformation in healthcare marketing to boost patient engagement and compliance

This paper presents a conceptual framework for integrating digital transformation in healthcare marketing to enhance patient engagement and compliance with treatment regimens. As healthcare systems evolve, the adoption of digital technologies has become imperative for fostering meaningful interactions between patients and providers. The proposed framework emphasizes leveraging digital marketing techniques, data analytics, and personalized communication strategies to strengthen patient-provider relationships and improve health outcomes. At the core of the framework is the use of digital marketing techniques, including social media outreach, content marketing, and mobile applications, to reach patients effectively. These tools facilitate the dissemination of vital health information and resources, enabling patients to make informed decisions about their care. By utilizing data analytics, healthcare organizations can gain insights into patient behaviors, preferences, and demographics, allowing for the customization of marketing efforts to meet the specific needs of diverse patient populations. Personalized communication strategies are pivotal in this framework, as they empower healthcare providers to deliver tailored messages that resonate with individual patients. This personalization fosters a sense of connection and trust, encouraging patients to engage actively in their treatment plans. By utilizing patient data, providers can send reminders, educational content, and motivational messages that enhance treatment adherence and compliance. Moreover, the framework addresses the importance of feedback loops, where healthcare organizations continuously gather and analyze patient responses to marketing efforts. This iterative process allows for the optimization of strategies, ensuring they remain effective and relevant over time. By fostering a culture of engagement, organizations can cultivate long-term relationships with patients, ultimately leading to improved health outcomes. In conclusion, this conceptual framework serves as a strategic guide for healthcare organizations aiming to harness digital transformation in their marketing efforts. By integrating digital marketing techniques, data analytics, and personalized communication strategies, organizations can enhance patient engagement, improve treatment adherence, and positively impact overall health outcomes.

Acceptability and Usability of Mobile Health Application for Enhancing Treatment Adherence in Latent TB Patients

Background: Mobile health interventions showcase effectiveness for improving treatment adherence among Latent TB Infection (LTBI) patients. However, there is a paucity of evidence regarding their acceptability and usability. This study aimed to assess the initial acceptability and usability of a mobile health application that has been designed to ensure treatment adherence in LTBI patients. Methods: A descriptive study was conducted to assess the acceptability and usability of a mobile health application, “My Treatment Friend”. A total of 82 LTBI patients were selected, and access to the application was given to them. This application provides support to LTBI patients in reporting daily medication and side effects. The basic demographic characteristics of the participants were collected through a Google form-based questionnaire. The acceptability and usability of the application were assessed using the Likert scale questionnaire and SUS tool, with samples of n=44 and n=20 participants, respectively. Results: LTBI patients found the mobile application acceptable and feasible, with an SUS score of 73, which comes under Grade B as per the SUS score sheet. The majority believed that the app was very simple to use and easy to understand. However, there is a requirement to add more features that can enhance the acceptability and usability of the application. Conclusion: The study showed the importance and usefulness of mobile applications to assist LTBI patients in finishing their prescribed treatment courses of action. Additionally, it highlights how crucial it is to build future applications using user-centered design. User-centered design may play an important role in designing mobile applications and ensuring effective engagement and satisfaction among users.

P026 A PRESCRIPTION TREND ANALYSIS OF ANTIHYPERTENSIVE PHARMACOTHERAPY ACROSS DIFFERENT SPECIALTIES IN INDIA

Objective: To evaluate the temporal trends in the prescription patterns of antihypertensive medications among healthcare practitioners in India. Methods: The IQVIA (formerly Quintiles and IMS Health) prescription audit data came from prescriptions of a panel of 6000 private sector primary care clinicians for the different classes of antihypertensive drugs; beta-blockers(BB), calcium channel blockers(CCB), angiotensin receptor blockers(ARB), angiotensin-converting enzyme(ACE) inhibitors, and diuretics were examined. The analysis encompassed the period from 2014 to 2022. Additionally, combinations of these drug classes involving two or three medications were also subject to analysis. Results: Cardiologists’ prescription rates for antihypertensive medications stood at 21% in 2017 and decreased to 19% by 2023. In 2023, the highest rate of prescribing antihypertensive drugs was observed among consultant physicians, with a rate of 30%, followed by general practitioners at 27%. In addition, during COVID-19, the prescription share of general practitioners was highest (31%). Among antihypertensive medications, the prescription rates for BBs were highest (32%), followed by ARBs & CCBs (25% & 24% respectively). Single-drug formulation of anti-hypertensive medications was the most preferred (60%) among Indian clinicians. Prescription shares of fixed-dose combinations (FDC) of two antihypertensive drugs showed a slight decline (36% in 2017 to 34% in 2023) & FDCs of triple-drug exhibited an upward trend (3% in 2017 to 5% in 2023). Among the two drug FDCs, ARB & diuretics were most preferred (25% prescription share) & triple drug FDCs, CCB, ARB & diuretics were most preferred. Conclusions: Cardiovascular medications are prominent in the Indian pharmaceutical market, with antihypertensives standing out as one of the most frequently prescribed treatments. Consultant physicians and general practitioners manage the majority of hypertension cases. Notably, there has been an observed rise in preference for triple-drug combinations of antihypertensive medications, indicating a trend toward a more aggressive approach to hypertension management among Indian clinicians. The insights gleaned from this investigation can further assist healthcare professionals in crafting tailored treatment strategies for individuals grappling with hypertension. Such personalized approaches hold promise in enhancing treatment adherence and ultimately improving the QoL.

Abstract P304: A Prescription Trend Analysis of Antihypertensive Pharmacotherapy across Different Specialties in India

Objective: To evaluate the temporal trends in the prescription patterns of antihypertensive medications among healthcare practitioners in India. Methods: The prescription audit data utilized in this study, sourced from IQVIA, originated from a panel comprising 6000 clinicians practicing within the private sector. These prescriptions encompassed various classes of antihypertensive drugs, namely beta-blockers (BB), calcium channel blockers (CCB), angiotensin receptor blockers (ARB), angiotensin-converting enzyme (ACE) inhibitors, and diuretics. The analysis spanned the period from 2014 to 2022. The study also included an examination of combinations involving two or three medications from these drug classes. Results: Cardiologists' prescription rates for antihypertensive medications stood at 21% in 2017 and decreased to 19% by 2023. In 2023, the highest rate of prescribing antihypertensive drugs was observed among consultant physicians, with a rate of 30%, followed by general practitioners at 27%. Among anti-hypertensive medications, the prescription rates for BBs were highest (32%), followed by ARBs & CCBs (25% & 24% respectively); which remained almost constant throughout the study period. Single-drug formulation of antihypertensive medications was the most preferred (60%) among Indian clinicians. Prescription shares of fixed-dose combinations (FDC) of two antihypertensive drugs showed a slight decline (36% in 2017 to 34% in 2023) & FDCs of triple-drug exhibited an upward trend (3% in 2017 to 5% in 2023). Among the two drug FDCs, ARB & diuretics were most preferred (25% prescription share) & triple drug FDCs, CCB, ARB & diuretics were most preferred (76% prescription share). Conclusions: Antihypertensive drugs are the most commonly prescribed medication in the cardiology segment. Consultant physicians and general practitioners manage the majority of hypertension cases. Notably, there has been an observed rise in the preference for triple-drug combinations of antihypertensive medications, indicating a trend toward a more aggressive approach to hypertension management among Indian clinicians. The insights gleaned from this investigation can further assist healthcare professionals in crafting tailored treatment strategies for individuals grappling with hypertension. Such personalized approaches hold promise in enhancing treatment adherence and ultimately improving the quality of life for patients.

The Effectiveness of Medical Adherence Mobile Health Solutions for Individuals With Epilepsy: Protocol for a Systematic Review.

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. 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. 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. 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. 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. PROSPERO CRD4202347400; https://tinyurl.com/48mfx22e. DERR1-10.2196/55123.

Navigating Gender Disparities on the Management of Chronic Disease: a Narrative Review

Chronic diseases globally expose significant gender disparities in management and outcomes. Women often experience delays and inadequate treatment due to biological, psychosocial, and systemic biases, compounded by societal norms hindering self-care and health-seeking behaviours. Similarly, the LGBTQIA+ community faces discrimination and lacks culturally competent healthcare. This review addresses these issues collectively, aiming to uncover root causes and propose strategies for equitable healthcare outcomes. A literature review (2016-2024) using PubMed, Google Scholar, and Wiley Online identified peer-reviewed studies on gender, health determinants, and chronic diseases, focusing on socioeconomic, biological, and psychological factors. Socio-ecological models and culturally sensitive healthcare strategies are crucial for enhancing treatment adherence and reducing gender bias. Community-level interventions and policy changes are essential for equitable healthcare access. Integrating gender-inclusive practices into medical education is pivotal to achieving global health goals by 2030.

Readmission and Dropout in Outpatient Centers: An Analysis of Real-World Data in Patients with Dual-Diagnosis

AbstractSubstance use disorder treatment faces challenges such as dropout, relapse, and readmission. This study aims to identify factors associated with readmission and those influencing dropout among dual diagnosis (DD) patients (those with both a substance use disorder and another psychiatric disorder) attending outpatient addiction centers. Retrospective cohort study using the electronic health records of 8383 outpatients diagnosed with DD. Bivariate analysis and regression analysis were applied to control for the variables. Age, incarceration for 30 days prior to admission, and specific patterns of consumption increased the likelihood of readmission. Specifically, individuals who reported no substance use in the 30 days before admission or those diagnosed with an opioid or cocaine use disorder were particularly susceptible to readmission. Of the dual diagnoses, patients with personality disorders were more likely to be readmitted. In relation to dropout, opioid dependence and frequency of use were associated with a higher probability of dropout. Patients with poorer adherence to treatment and previous readmissions were also more likely to drop out. Enhancing treatment adherence and reducing dropout and readmission rates poses a challenge in managing patients with DD. Leveraging electronic health records offers enhanced ecological validity concerning the outpatient treatment requirements for such patients. Therapeutic adherence, alongside specific sociodemographic variables and consumption patterns, emerges as pivotal factors in this context. Identifying and understanding these variables facilitates the customization of outpatient treatment strategies to better meet the needs of patients with comorbidities.

A health promotion model-based intervention to enhance treatment adherence in patients with type 2 diabetes

BackgroundThe present study aimed to determine the effect of an intervention based on Pender’s health promotion model (HPM) on treatment adherence in patients with type 2 diabetes (T2D).MethodsThe present quasi-experimental study with a 3-month follow-up was conducted in Bandar Abbas, a city in the south of Iran in 2023. The intervention group (IG) with a total number of 95 T2D patients was selected from Hormuz diabetes clinic and the control group (CG) with 95 T2D patients was selected from comprehensive health centers through a clustering sampling method. The educational intervention was implemented in 10 sessions to improve patients’ treatment adherence. The teaching methods in training sessions were lectures, joint discussions, Q&A, role-play and peer training. The participants were evaluated using a researcher-made questionnaire including the constructs of Pender’s HPM about T2D treatment adherence, hemoglobin A1C (HbA1C), and BMI. Independent-samples t-test, paired-samples t-test, covariance analysis and stepwise regression analysis were used. Data analysis was done in SPSS 26.FindingsThree months after the intervention, in comparison to the CG, the mean and standard deviation of treatment adherence benefits (p = 0.002), treatment adherence self-efficacy (p = 0.010), treatment adherence related affect (p = 0.001), interpersonal influences (p = 0.012), commitment to plan of action (p < 0.001), treatment adherence behavior (p = 0.022), treatment adherence experiences (p = 0.001) was higher in the IG. The mean and standard deviation of situational influences (p < 0.001), immediate competing demands and preferences (p = 0.018) were lower than the CG. The results obtained from the analysis of covariance proved the effectiveness of the intervention in the constructs of Pender’s HPM and HbA1C in participants of the IG (p < 0.001). The regression analysis showed, after the intervention, for every 1 unit of change in commitment to behavior planning, action related affect and perceived self-efficacy, compared to before the intervention, there were 0.22 units, 0.16 units and 0.26 units of change in the behavior score in the IG.ConclusionThe findings proved the effectiveness of the educational intervention in improving the constructs in Pender’s HPM and the blood sugar level of T2D patients. As the results of the educational intervention showed, the use of a suitable educational approach as well as the development of appropriate educational content for the target population can significantly improve the treatment adherence behavior.Trial registrationThis study is registered on the Iranian Registry of Clinical Trials (IRCT20211228053558N1: https://www.irct.ir/trial/61741) and first release date of 17th March 2022.

TABLET TOSCANA to Develop Innovative Organizational Models for Tele-Rehabilitation in Subjects with Congenital and Acquired Developmental Disabilities: A Wait-List Control Group Trial Protocol.

Background/Objectives: In recent years, the advent of new technologies has fostered their application in neuro-psychomotor and language rehabilitation, particularly since the COVID-19 pandemic. Tele-rehabilitation has emerged as an innovative and timely solution, enabling personalized interventions monitored by clinicians. TABLET TOSCANA project aims to develop innovative tele-rehabilitation organizational models in children, adolescents and young adults with congenital and acquired developmental disabilities, using the Virtual Reality Rehabilitation System (VRRS) Home Kit and the MedicoAmico APP. Methods: The trial is designed according to the CONSORT statement guidelines. The project encompasses three phases: adapting the technologies for pediatric use, validating them through a wait-list study, and analyzing feasibility and effectiveness data to define new organizational models. A randomized wait-list-control study with 100 subjects aged 6 to 30 years will compare tele-rehabilitation versus prosecution of standard care. Discussion: Although literature highlights tele-rehabilitation benefits such as improved access, cost savings, and enhanced treatment adherence, practical implementation remains limited (i.e., the definition of standardized procedures). TABLET TOSCANA project seeks to address these gaps by focusing on multi-domain treatments for neurodevelopmental disabilities and emphasizing the integration of tele-rehabilitation into local health services. Conclusion: The project aims to improve the continuity and intensity of care through innovative models that integrate tele-rehabilitation into local health services. The results could inform healthcare policies and promote the development of innovative and collaborative models of care, paving the way for more effective and widespread tele-rehabilitation solutions and fostering collaborative networks among professionals.

The mediating role of psychological well-being in the relationship between the light triad of personality and sense of concordance with treatment adherence in patients with type 2 diabetes: A network analysis and structural equation modeling study

BackgroundThis study aimed to investigate the intricate relationship among treatment adherence, the light triad of personality, self-coherence, and psychological well-being in individuals diagnosed with Type 2 Diabetes Mellitus (T2DM). Structural equation modeling (SEM) was employed to elucidate the direct and mediated pathways linking these variables, while network analysis sought to identify and characterize the underlying factors of the light triad of personality within the context of T2DM management. MethodA path analysis-network analysis study using convenience sampling was conducted, recruiting 412 T2DM patients from ten private practices and general hospitals in Gilan province, Iran. Data collection utilized Antonovsky's Self of Coherence scale (SOC), The Light Triad Rating Scale, and The Reef's Psychological Well-being Questionnaire. Structural equation modeling assessed model fitness and determined direct and indirect links between variables. Analysis was conducted using R-Studio software (Version 4.2.1), SPSS (V.26), and AMOS software (V.24). ResultsConfirmatory factor analysis and network analysis confirmed the three-factor structure of the Light Triad of Personality scale. Direct impacts of Light Triad of Personality (β = 0.34, p < .001) and self-coherence (β = 0.32, p < .001) on treatment adherence were observed. Psychological well-being played an indirect role in this relationship, with significant effects from Light Triad of Personality (β = 0.25, p < .001) and self-coherence (β = 0.08, p < .001) on treatment adherence. Bootstrapped exploratory graph analysis revealed an average of 3 dimensions within the network, indicating community structures. ConclusionSEM analysis demonstrated good model fit, suggesting the importance of designing interventional programs incorporating self-coherence and psychological well-being frameworks to enhance treatment adherence in T2DM patients.

Extemporaneous combination therapy with nebivolol/ramipril for the treatment of hypertension: a real-world evidence study in Europe

Objectives To describe the clinical characteristics and treatment adherence in European adult hypertensive patients starting treatment with the extemporaneous combination of nebivolol and ramipril (NR-EXC). Methods Retrospective database analysis of patients receiving NR-EXC treatment across five European countries (Italy, Germany, France, Poland, Hungary) over a period ranging from 3 to 9 years (until 30 June 2020) according to data availability for the different data sources. Patient demographics, comorbidities, and treatment adherence were evaluated. Results We identified 592,472 patients starting NR-EXC. Most of them were over 60 years of age, with ramipril most commonly prescribed at 5 mg (from 30.0 to 57.2% of patients across the databases). Notable comorbidities included diabetes (19.2%) and dyslipidemia (18.2%). The study population was also highly subjected to polytherapy with antithrombotics, lipid-lowering agents, and other lowering blood pressure agents as the most co-prescribed medications, as resulted from Italian database. Up to 59% of the patients did not request a cardiologic visit during the study period. Adherence to therapy was low in 56.3% of the patients, and it was high only in 11.1% of them. Conclusions The combination of nebivolol and ramipril is frequently prescribed in Europe, but adherence to treatment is suboptimal. The transition to a single pill combination could enhance treatment adherence and streamline regimens, potentially leading to significant benefits. Improved adherence not only correlates with better blood pressure control but also reduces the risk of cardiovascular events, underscoring the importance of this development.

Correlation of DAS 28 Score and Treatment Compliance with Depression and Anxiety in Rheumatoid Arthritis

Background: Rheumatoid arthritis (RA) is a chronic systemic autoimmune disorder characterized by synovial inflammation, joint destruction, and significant disability. Psychological factors, particularly depression and anxiety, are prevalent among RA patients and can impact disease management and treatment adherence. Understanding the relationship between disease activity, treatment compliance, and mental health is essential for comprehensive RA management. Objective: To investigate the correlation between Disease Activity Score 28 (DAS28) and treatment compliance with levels of depression and anxiety in patients with rheumatoid arthritis. Methods: This cross-sectional study was conducted at the Department of Rheumatology and Immunology, Sheikh Zayed Hospital, Lahore, over six months. A total of 130 RA patients were enrolled using non-probability convenience sampling. Inclusion criteria were adults aged 18 years and above, diagnosed with RA based on ACR/EULAR criteria, and compliant with medication for at least three months prior to the study. Exclusion criteria included other autoimmune diseases, significant concurrent medical conditions, history of substance abuse, and recent initiation of biologic treatments. Data collection involved demographic details, RA onset and duration, and assessments of depression and anxiety using the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) scales, respectively. RA disease activity was measured using DAS28, and systemic inflammation markers (ESR and CRP) were recorded. Data analysis was performed using SPSS version 25.0, employing descriptive statistics, correlation analysis, and regression analysis to determine the relationships between variables. Results: The study included 59 males (45.4%) and 71 females (54.6%), with a mean age of 49.69 years (SD = 18.82). The mean duration of RA diagnosis was 14.07 years (SD = 8.69). Higher PHQ-9 scores were associated with lower treatment adherence (B = -1.264, p &lt; 0.001), and higher GAD-7 scores also negatively impacted adherence (B = 0.870, p &lt; 0.01). The regression model explained 40.3% of the variance in treatment adherence (R² = 0.403, F(7, 122) = 11.779, p &lt; 0.001). Weak negative correlations were observed between DAS28 ESR and treatment adherence (r = -0.150), indicating that higher disease activity slightly reduced adherence. Conclusion: The study highlighted the significant role of mental health in the management of RA. Depression and anxiety were found to be major barriers to treatment adherence, underscoring the need for integrating psychological care into RA management. Addressing mental health issues could enhance treatment adherence and improve overall disease outcomes. Keywords: Rheumatoid Arthritis, DAS28, Treatment Adherence, Depression, Anxiety, Psychological Factors, Systemic Inflammation, PHQ-9, GAD-7, Chronic Disease Management, SPSS 25.0, Cross-Sectional Study, ACR/EULAR Criteria

GAPi: A description of the initiative for early psychosis intervention in Latin America and the short- to medium-term outcomes in early psychosis patients

IntroductionSchizophrenia is a debilitating disorder that affects a significant proportion of the population and leads to impaired functionality and long-term challenges. The first episode of psychosis (FEP) is a critical intervention stage for improving long-term outcomes. The GAPi program was established in São Paulo, Brazil to provide early intervention services and evaluate biomarkers in individuals with FEP. This article delineates the objectives of the GAPi program, detailing its innovative research protocol, examining the clinical outcomes achieved, and discussing the operational challenges encountered during its initial decade of operation. MethodsThe study comprised a prospective cohort of antipsychotic-naïve individuals with first-episode psychosis aged between 16 and 35 years. Participants were recruited from a public psychiatric facility in São Paulo. Emphasizing the initiative's commitment to early intervention, clinical assessments were systematically conducted at baseline and at two months, one year, two years, and five years of treatment to capture both short- and medium-term outcomes. Various assessment tools were utilized, including structured interviews, symptom scales, the Addiction Severity Index, and functional assessments. ResultsA total of 232 patients were enrolled in the cohort. Among them, 65.95 % completed the 2-month follow-up. Most patients presented with schizophrenia spectrum disorders, followed by bipolar disorder and major depressive disorder with psychotic features. Treatment response rates and remission rates were evaluated at different time points, with promising outcomes observed. The program also assessed socio-demographic factors, substance use, family history, and genetic and biomarker profiles, providing valuable data for research. DiscussionThe GAPi program has emerged as the largest ongoing cohort of antipsychotic-naïve first-episode psychosis in Latin America, contributing to the understanding of early psychosis in low- and middle-income countries. Despite operational challenges, the program has demonstrated efficacy in reducing the duration of untreated psychosis and in improving clinical outcomes. A multidisciplinary approach, including pharmacological treatment, psychosocial interventions, and family involvement, has been instrumental in enhancing treatment adherence and long-term prognosis. ConclusionThe GAPi program represents a valuable model for early intervention in first-episode psychosis and provides insights into the pathophysiology, treatment, and long-term outcomes of individuals with schizophrenia and related disorders. Continued research and resource allocation are essential for addressing operational challenges and expanding early intervention services in low- and middle-income countries.

A PRESCRIPTION TREND ANALYSIS OF ANTIHYPERTENSIVE PHARMACOTHERAPY ACROSS DIFFERENT SPECIALTIES IN INDIA

Objective: To evaluate the temporal trends in the prescription patterns of antihypertensive medications among healthcare practitioners in India. Design and method: The IQVIA (formerly Quintiles and IMS Health) prescription audit data came from prescriptions of a panel of 6000 private sector primary care clinicians for the different classes of antihypertensive drugs; beta-blockers (BB), calcium channel blockers (CCB), angiotensin receptor blockers (ARB), angiotensin-converting enzyme (ACE) inhibitors, and diuretics were examined. The analysis encompassed the period from 2014 to 2022. Additionally, combinations of these drug classes involving two or three medications were also subject to analysis. Results: Cardiologists’ prescription rates for antihypertensive medications stood at 21% in 2017 and decreased to 19% by 2023. In 2023, the highest rate of prescribing antihypertensive drugs was observed among consultant physicians, with a rate of 30%, followed by general practitioners at 27%. In addition, during COVID-19, the prescription share of general practitioners was highest (31%). Among anti-hypertensive medications, the prescription rates for BBs were highest (32%), followed by ARBs &amp; CCBs (25% &amp; 24% respectively). Single-drug formulation of antihypertensive medications was the most preferred (60%) among Indian clinicians. Prescription shares of fixed-dose combinations (FDC) of two antihypertensive drugs showed a slight decline (36% in 2017 to 34% in 2023) &amp; FDCs of triple-drug exhibited an upward trend (3% in 2017 to 5% in 2023). Among the two drug FDCs, ARB &amp; diuretics were most preferred (25% prescription share) &amp; triple drug FDCs, CCB, ARB &amp; diuretics were most preferred. Conclusions: Cardiovascular medications hold a prominent position in the Indian pharmaceutical market, with antihypertensives standing out as one of the most frequently prescribed treatments. Consultant physicians and general practitioners manage the majority of hypertension cases. Notably, there has been an observed rise in the preference for triple-drug combinations of antihypertensive medications, indicating a trend toward a more aggressive approach to hypertension management among Indian clinicians. The insights gleaned from this investigation can further assist healthcare professionals in crafting tailored treatment strategies for individuals grappling with hypertension. Such personalized approaches hold promise in enhancing treatment adherence and ultimately improving the QoL.

Exploring Patterns of Medication Usage in Affective Disorder Patients: A Comprehensive Investigation at a Psychiatry Outpatient Clinic of a Tertiary Care Hospital.

Affective disorders impose a significant burden on public health due to their high prevalence and associated suffering. This study addresses gaps in current literature and clinical practice by providing insights into medication usage trends, which can inform treatment strategies and optimize patient care. The study aims to investigate drug utilization patterns, particularly focusing on defined daily dose/1000/day, among individuals attending a psychiatric outpatient department of a tertiary care hospital. This cross-sectional, prospective drug utilization study included 600 affective disorder patients aged 18 years and above. The study period spanned 12 months, from March 2021 to February 2022. Data on demographics, diagnosis, treatment, and counseling were collected and analyzed using descriptive statistics. Among the 600 patients analyzed, bipolar mood disorder was the most prevalent (239 patients, 39.83%), followed by depressive disorder (208 patients, 34.67%). Triple therapy was the most common prescription regimen, accounting for 308 encounters (51.33%). The average number of drugs per encounter was 3.75 ± 1.01. A combination of psychotherapy and medication counseling sessions was provided to 594 patients or their relatives, representing 99% of the total encounters. The study highlights the prevalent use of triple therapy in managing affective disorders, especially bipolar mood disorder and mania disorder. Effective utilization of essential drug lists and comprehensive patient counseling underscores the importance of holistic care in psychiatric outpatient settings. Given the high prevalence of triple therapy, further research into the efficacy and safety of this treatment approach is warranted. Additionally, continued emphasis on patient education and counseling can enhance treatment adherence and overall outcomes in individuals with affective disorders.

Health service providers’ perspective on barriers and strategies to tuberculosis treatment adherence in Obuasi Municipal and Obuasi East District in the Ashanti region, Ghana: a qualitative study

Abstract Background Despite the substantial improvement in treatment success rate over the past two decades in Ghana, some districts in the country still record high rates of tuberculosis (TB) deaths and lost-to-follow-up. The high incidence of these adverse outcomes suggests that the TB programme is not performing well in these districts which could be due to some barriers in the programme implementation. This paper explored the perspectives of healthcare providers on the barriers to TB treatment adherence and the potential strategies to address them in two high-burden districts in the Ashanti Region of Ghana. Methods This study utilised an explorative qualitative study design among 16 purposively selected healthcare providers directly involved in TB care in the Obuasi Municipal and Obuasi East District. Key informant interviews were used to collect data, which were audio-recorded and transcribed word-for-word. The transcriptions were then imported into Atlas.ti version 8.4 software for thematic content analysis. Results Findings from this study revealed significant socioeconomic and individual barriers to TB treatment adherence. Key socioeconomic barriers included income insecurity, transportation cost, food insecurity, lack of public education on TB and frequent shortage of TB diagnostic tools. The individual barriers identified were misconception of TB causation, perceived full recovery after intensive phase treatment, inadequate patient privacy and noncompliance to treatment transfer protocol. The strategies recommended by healthcare providers to address these barriers were home-based treatment, provision of food incentives, frequent education on TB, and usage of reminder systems for follow-ups. Conclusion The barriers to TB treatment adherence from the healthcare providers’ perspective were mainly socioeconomic and individual. The suggested strategies offer actionable steps towards addressing these barriers. Thus, it is recommended that the TB programme and other supporting stakeholders take into account these barriers and adopt these strategies when planning for TB control to enhance treatment adherence and improve patient health outcomes.

Comparison of Clinical Profile and Current Status of the Treatment Nonadherent Persons with Mental Illness: A Study from a Rural Community Mental Health Center in India

Background: Treatment nonadherence comprises a combination of individual, family, social, treatment center, and illness-related factors. In this context, the present study aims to compare the clinical profile and the current status of persons with mental illness who have discontinued their treatment at a rural community mental health center (RCMHC) in India. Materials and Methods: The persons who discontinued treatment with a diagnosis category of severe mental disorders (SMDs), common mental disorders (CMDs), and substance use disorders (SUDs) who sought treatment at RCMHC are the study population. The present study has followed a comparative research design that compares the clinical profiles of SMDs, CMDs, and SUDs. A survey method of sampling was adopted. A semi-structured interview schedule, clinical global impression (CGI), and errors in drug adherence schedule were used as measures in the study. A home visit approach, telephone contacts, and collateral information were followed to collect the data. Results: Out of the 80 respondents, only 16 (20.0%) reported improvement, and the remaining 16 (20.0%) are receiving treatment from various facilities. The rest of the 48 (60.0%) subjects were not on treatment despite being ill. The number of respondents who did not take their medication even for a day was 10 (12.5%), and another 34 (42.5%) subjects completely stopped their medication within a month. CGI-improvement highlights that nearly 47 (58.7%) respondents had shown much and very much improvement while they were on treatment. The CGI-severity of illness rating scale revealed that 54 (67.5%), i.e., nearly 2/3 of the respondents, were currently in the mild-to-extreme mentally ill category. Conclusion: Comprehensive psychosocial and community-based approaches will enhance treatment adherence in mental illness.

Mentalizing-Based Healthcare: Towards a Relational Paradigm for Chronic Illness Management

ABSTRACT This paper introduces a contemporary psychodynamic attachment approach for managing chronic illnesses with a focus on the role of impairments in mentalizing, attachment, and epistemic trust. This approach emphasizes the significance of relational dynamics in healthcare settings and may thus provide a complementary approach in health psychology which currently primarily targets individual and behavioral aspects of chronic illness by addressing the relational dynamics that are typically involved in chronic illness management. We review empirical evidence highlighting the roles of mentalizing, attachment, and epistemic trust in chronic illness. We propose an attachment and mentalizing-based healthcare paradigm that prioritizes relational dynamics that aligns with emerging health psychology trends, offering a holistic approach to patient care. Finally, we present some practical implications of this approach, underscoring the importance of psychologists working in health in fostering secure attachment, epistemic trust and mentalizing within patient-provider relationships. This involves tailoring patient interactions and psychoeducation to individual needs and narratives, enhancing treatment adherence and well-being.