Determinants of antiretroviral therapy adherence among transgender women in South Africa.

BACKGROUND:  Transgender women bear a huge burden of human immunodeficiency virus (HIV) in South Africa. However, they are not fully engaged in healthcare across the HIV continuum of care. In addition, transgender women face multiple facets of stigma and discrimination as well as socio-economic inequalities, which all have a negative impact on antiretroviral therapy (ART) adherence. OBJECTIVE:  The study aimed at exploring and describing the experiences of ART adherence of transgender women living with HIV in the Buffalo City Metro Municipality. METHODS:  The study employed an interpretative phenomenological analysis (IPA) design. Twelve participants were enrolled using a snowballing sampling technique. Data were collected using semi-structured interviews and analysed using an IPA framework. RESULTS:  While exploring determinants to ART adherence among transgender women living with HIV in Buffalo City Metro, two superordinate themes emerged: enablers to ART adherence and psychosocial factors promoting adherence. The study found that factors such as differentiated ART service delivery, ARV medicines-related factors, motivators for taking treatment and support systems facilitated ART adherence. CONCLUSION:  Emerging from this study is the need to scale up differentiated, person-centred ART service deliveries that will enhance access and adherence to treatment for transgender women.Contribution: This study provides unique insights on factors enhancing ART adherence among transgender women. There is a paucity of literature on access to HIV care services for key and vulnerable populations, and these findings will be shared in the country and in the region.

"I am adhering to HIV treatment so that I can live to support her": A qualitative study of upward intergenerational support in South Africa.

Background: Intergenerational family care, which was upended by the HIV epidemic in sub-Saharan Africa (SSA), may return to a pre-HIV era arrangement as access to antiretroviral therapy (ART) expands and treated adults can once again provide support for older household members. Empirical research has demonstrated positive 'spillover effects' of ART uptake from treated adults to younger generations, yet much less is known about the nature and breadth of such effects to older generations. This study explores the role and lived experiences among adults who take up ART and those of an older generation with whom they live. Methods: We conducted a qualitative study consisting of semi-structured interviews (n = 46) embedded in the Agincourt Health and Demographic Surveillance System (HDSS) in rural South Africa, between July and September 2022. We purposefully sampled two respondent categories: (i) young or middle-aged adults on ART (aged 18-59 years old); and (ii) older adults (aged ≥60 years old) who were affiliated with a young or middle-aged adult on ART. We used thematic content analysis to extract, code, and categorise relevant text by types of upward spillover effects from ART in younger adults to older adults. Quantitative data was extracted from the existing Agincourt HDSS database and matched to qualitative interview data based on Clinic link unique identifiers of study participants. Results: Mean age was 41 years among young or middle-aged adults (n = 29) and 72 years among older adults (n = 17). Among younger adults, time on ART ranged from five months to more than 21 years. Both young or middle-aged adults on ART and older adults reported positive spillover effects for older adults across five main tiers: caregiving, financial support, physical and mental health, living arrangements and household relationships, and stigma and reputation. Spillover challenges included financial costs and caregiving responsibilities following ART initiation of young or middle-aged adults, although these additional caregiving responsibilities were generally not perceived as particularly burdensome. Conclusions: ART is likely to benefit older adults in South Africa whose families are affected by HIV. This study identified a wide range of perceived spillover effects from ART in younger adults to older adults, including improvements to upward intergenerational support. These qualitative findings offer a guide to researchers, policymakers, and donors to capitalise on the broader societal effects of a large-scale health intervention to further support family structures and meet the needs of a growing older population.

Schizophrenia and medication adherence: Associated factors.

BACKGROUND: Schizophrenia is a chronic condition that requiring maintenance treatment with antipsychotic medication. Medication adherence is essential to improve the symptoms of this health problem reduce relapses and readmissions and achieve treatment goals. The rate of challenges associated with medication adherence in schizophrenia is reported to be 26.5-85.1 %. PURPOSE: This study was conducted to determine factors associated with medication adherence in individuals diagnosed with schizophrenia. METHODS: A descriptive correlational research design was used. The study was completed with a total of 162 participants diagnosed with schizophrenia, between February-June 2021, at a Community Mental Health Center. Regression analysis (Model: enter and stepwise) was used to determine associated factors. RESULTS: The mean medication adherence score of individual diagnosed with schizophrenia indicated that more than half of the participants (52 %) had poor medication adherence. In individual diagnosed with schizophrenia, medication attitudes, level of internalized stigma, the status of regular attendance to appointments, belief in recovery, and using medicines as prescribed were complicating factors for medication adherence (p < 0.05). CONCLUSIONS: Medication adherence in individuals with diagnosed schizophrenia may be multifactorial. Mental health professionals should consider associated factors and implement a personalized treatment plan in this direction for strengthening adherence to medication treatment.

User Experience of Persons Using Ingestible Sensor-Enabled Pre-Exposure Prophylaxis to Prevent HIV Infection: Cross-Sectional Survey Study.

Background: A digital health technology's success or failure depends on how it is received by users. objectives: We conducted a user experience (UX) evaluation among persons who used the Food and Drug Administration-approved Digital Health Feedback System incorporating ingestible sensors (ISs) to capture medication adherence, after they were prescribed oral pre-exposure prophylaxis (PrEP) to prevent HIV infection. We performed an association analysis with baseline participant characteristics, to see if "personas" associated with positive or negative UX emerged. Methods: UX data were collected upon exit from a prospective intervention study of adults who were HIV negative, prescribed oral PrEP, and used the Digital Health Feedback System with IS-enabled tenofovir disoproxil fumarate plus emtricitabine (IS-Truvada). Baseline demographics; urine toxicology; and self-report questionnaires evaluating sleep (Pittsburgh Sleep Quality Index), self-efficacy, habitual self-control, HIV risk perception (Perceived Risk of HIV Scale 8-item), and depressive symptoms (Patient Health Questionnaire-8) were collected. Participants with ≥28 days in the study completed a Likert-scale UX questionnaire of 27 questions grouped into 4 domain categories: overall experience, ease of use, intention of future use, and perceived utility. Means and IQRs were computed for participant total and domain subscores, and linear regressions modeled baseline participant characteristics associated with UX responses. Demographic characteristics of responders versus nonresponders were compared using the Fisher exact and Wilcoxon rank-sum tests. Results: Overall, 71 participants were enrolled (age: mean 37.6, range 18-69 years; n=64, 90% male; n=55, 77% White; n=24, 34% Hispanic; n=68, 96% housed; and n=53, 75% employed). No demographic differences were observed in the 63 participants who used the intervention for ≥28 days. Participants who completed the questionnaire were more likely to be housed (52/53, 98% vs 8/10, 80%; P=.06) and less likely to have a positive urine toxicology (18/51, 35% vs 7/10, 70%; P=.08), particularly methamphetamine (4/51, 8% vs 4/10, 40%; P=.02), than noncompleters. Based on IQR values, ≥75% of participants had a favorable UX based on the total score (median 3.78, IQR 3.17-4.20), overall experience (median 4.00, IQR 3.50-4.50), ease of use (median 3.72, IQR 3.33-4.22), and perceived utility (median 3.72, IQR 3.22-4.25), and ≥50% had favorable intention of future use (median 3.80, IQR 2.80-4.40). Following multipredictor modeling, self-efficacy was significantly associated with the total score (0.822, 95% CI 0.405-1.240; P<.001) and all subscores (all P<.05). Persons with more depressive symptoms reported better perceived utility (P=.01). Poor sleep was associated with a worse overall experience (-0.07, 95% CI -0.133 to -0.006; P=.03). Conclusions: The UX among persons using IS-enabled PrEP (IS-Truvada) to prevent HIV infection was positive. Association analysis of baseline participant characteristics linked higher self-efficacy with positive UX, more depressive symptoms with higher perceived utility, and poor sleep with negative UX.

Understanding Patient Perspectives on the Use of Gamification and Incentives in mHealth Apps to Improve Medication Adherence: Qualitative Study.

BACKGROUND: Medication nonadherence remains a significant health and economic burden in many high-income countries. Emerging smartphone interventions have started to use features such as gamification and financial incentives with varying degrees of effectiveness on medication adherence and health outcomes. A more consistent approach to applying these features, informed by patient perspectives, may result in more predictable and beneficial results from this type of intervention. OBJECTIVE: This qualitative study aims to identify patient perspectives on the use of gamification and financial incentives in mobile health (mHealth) apps for medication adherence in Australian patients taking medication for chronic conditions. METHODS: A total of 19 participants were included in iterative semistructured web-based focus groups conducted between May and December 2022. The facilitator used exploratory prompts relating to mHealth apps, gamification, and financial incentives, along with concepts raised from previous focus groups. Transcriptions were independently coded to develop a set of themes. RESULTS: Three themes were identified: purpose-driven design, trust-based standards, and personal choice. All participants acknowledged gamification and financial incentives as potentially effective features in mHealth apps for medication adherence. However, they also indicated that the effectiveness heavily depended on implementation and execution. Major concerns relating to gamification and financial incentives were perceived trivialization and potential for medication abuse, respectively. CONCLUSIONS: The study's findings provide a foundation for developers seeking to apply these novel features in an app intervention for a general cohort of patients. However, the study highlights the need for standards for mHealth apps for medication adherence, with particular attention to the use of gamification and financial incentives. Future research with patients and stakeholders across the mHealth app ecosystem should be explored to formalize and validate a set of standards or framework.

Assessing the Efficacy of ChatGPT Versus Human Researchers in Identifying Relevant Studies on mHealth Interventions for Improving Medication Adherence in Patients With Ischemic Stroke When Conducting Systematic Reviews: Comparative Analysis.

BACKGROUND: ChatGPT by OpenAI emerged as a potential tool for researchers, aiding in various aspects of research. One such application was the identification of relevant studies in systematic reviews. However, a comprehensive comparison of the efficacy of relevant study identification between human researchers and ChatGPT has not been conducted. OBJECTIVE: This study aims to compare the efficacy of ChatGPT and human researchers in identifying relevant studies on medication adherence improvement using mobile health interventions in patients with ischemic stroke during systematic reviews. METHODS: This study used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Four electronic databases, including CINAHL Plus with Full Text, Web of Science, PubMed, and MEDLINE, were searched to identify articles published from inception until 2023 using search terms based on MeSH (Medical Subject Headings) terms generated by human researchers versus ChatGPT. The authors independently screened the titles, abstracts, and full text of the studies identified through separate searches conducted by human researchers and ChatGPT. The comparison encompassed several aspects, including the ability to retrieve relevant studies, accuracy, efficiency, limitations, and challenges associated with each method. RESULTS: A total of 6 articles identified through search terms generated by human researchers were included in the final analysis, of which 4 (67%) reported improvements in medication adherence after the intervention. However, 33% (2/6) of the included studies did not clearly state whether medication adherence improved after the intervention. A total of 10 studies were included based on search terms generated by ChatGPT, of which 6 (60%) overlapped with studies identified by human researchers. Regarding the impact of mobile health interventions on medication adherence, most included studies (8/10, 80%) based on search terms generated by ChatGPT reported improvements in medication adherence after the intervention. However, 20% (2/10) of the studies did not clearly state whether medication adherence improved after the intervention. The precision in accurately identifying relevant studies was higher in human researchers (0.86) than in ChatGPT (0.77). This is consistent with the percentage of relevance, where human researchers (9.8%) demonstrated a higher percentage of relevance than ChatGPT (3%). However, when considering the time required for both humans and ChatGPT to identify relevant studies, ChatGPT substantially outperformed human researchers as it took less time to identify relevant studies. CONCLUSIONS: Our comparative analysis highlighted the strengths and limitations of both approaches. Ultimately, the choice between human researchers and ChatGPT depends on the specific requirements and objectives of each review, but the collaborative synergy of both approaches holds the potential to advance evidence-based research and decision-making in the health care field.

The facilitators of and barriers to antimicrobial use and misuse in Lalitpur, Nepal: a qualitative study.

BACKGROUND: Antimicrobial resistance (AMR) is a pressing global health concern driven by inappropriate antibiotic use, which is in turn influenced by various social, systemic, and individual factors. This study, nested within FIND's AMR Diagnostic Use Accelerator clinical trial in Nepal, aimed to (i) explore the perspectives of patients, caregivers, and healthcare workers (HCWs) on antibiotic prescription adherence and (ii) assess the impact of a training and communication (T&C) intervention on adherence to antibiotic prescriptions. METHODS: Using qualitative, semi-structured interviews, pre-intervention and Day 7 follow-up components, and the Behaviour Change Wheel process, we investigated the facilitators of and barriers to the use and misuse of antibiotic prescriptions. RESULTS: Results of the study revealed that adherence to antibiotic prescriptions is influenced by a complex interplay of factors, including knowledge and understanding, forgetfulness, effective communication, expectations, beliefs and habits, attitudes and behaviours, convenience of purchasing, trust in medical effectiveness, and issues of child preferences. The T&C package was also shown to play a role in addressing specific barriers to treatment adherence. CONCLUSIONS: Overall, the results of this study provide a nuanced understanding of the challenges associated with antibiotic use and suggest that tailored interventions, informed by behaviour frameworks, can enhance prescription adherence, may be applicable in diverse settings and can contribute to the global effort to mitigate the rising threat of AMR.

Patient medication management, understanding and adherence during the transition from hospital to outpatient care - a qualitative longitudinal study in polymorbid patients with type 2 diabetes.

BACKGROUND: Continuity of care is under great pressure during the transition from hospital to outpatient care. Medication changes during hospitalization may be poorly communicated and understood, compromising patient safety during the transition from hospital to home. The main aims of this study were to investigate the perspectives of patients with type 2 diabetes and multimorbidities on their medications from hospital discharge to outpatient care, and their healthcare journey through the outpatient healthcare system. In this article, we present the results focusing on patients' perspectives of their medications from hospital to two months after discharge. METHODS: Patients with type 2 diabetes, with at least two comorbidities and who returned home after discharge, were recruited during their hospitalization. A descriptive qualitative longitudinal research approach was adopted, with four in-depth semi-structured interviews per participant over a period of two months after discharge. Interviews were based on semi-structured guides, transcribed verbatim, and a thematic analysis was conducted. RESULTS: Twenty-one participants were included from October 2020 to July 2021. Seventy-five interviews were conducted. Three main themes were identified: (A) Medication management, (B) Medication understanding, and (C) Medication adherence, during three periods: (1) Hospitalization, (2) Care transition, and (3) Outpatient care. Participants had varying levels of need for medication information and involvement in medication management during hospitalization and in outpatient care. The transition from hospital to autonomous medication management was difficult for most participants, who quickly returned to their routines with some participants experiencing difficulties in medication adherence. CONCLUSIONS: The transition from hospital to outpatient care is a challenging process during which discharged patients are vulnerable and are willing to take steps to better manage, understand, and adhere to their medications. The resulting tension between patients' difficulties with their medications and lack of standardized healthcare support calls for interprofessional guidelines to better address patients' needs, increase their safety, and standardize physicians', pharmacists', and nurses' roles and responsibilities.

Social support and medication adherence among adult myasthenia gravis patients in China: the mediating role of mental health and self-efficacy.

BACKGROUND: Myasthenia gravis (MG), a rare chronic neuromuscular disorder, is characterized by progressive physical decline and requires long-term pharmacological treatment. Due to the decline of physical and social abilities, MG patients are in great need of social support, including tangible and emotional support. This study aims to examine the association between social support and medication adherence and the possible mediating effects of mental health and self-efficacy among MG patients. METHODS: A cross-sectional analysis of a nationwide MG registry was conducted on 865 patients under oral medication treatment in China between June and July 2022. Validated scales were used to measure the respondent's mental distress (Four-item Patient Health Questionnaire), social support (Modified Medical Outcomes Study Social Support Scale), self-efficacy for medication use (Self-efficacy for Appropriate Medication Use Scale), and medication adherence (Morisky Medication Adherence Scale, MMAS). RESULTS: The association between social support and medication adherence and possible mediating effects of mental distress and self-efficacy were tested by structural equation model, with significant demographic and disease-related factors adjusted. The respondents showed a very low level of medication adherence (71.2% poor adherence; 1.4% high adherence; mean MMAS = 4.65). The level of social support was positively associated with medication adherence, and such association was fully mediated by two indirect pathways: through self-efficacy (ß = 0.07, proportion mediated = 63.8%); and through mental distress and then self-efficacy (ß = 0.01, proportion mediated = 6.7%). CONCLUSION: Provision of social support and interventions on mental health with emphasis on improving self-efficacy for medication use may effectively improve medication adherence among MG patients.

The relationship between medication adherence and complementary medicine use in epilepsy patients.

OBJECTIVE: The aim of this research is to examine the usage of Complementary and Integrated Medicine (CIM) in individuals with epilepsy and the impact of CIM usage on medication adherence. MATERIALS AND METHODS: This descriptive and cross-sectional study was conducted in a university hospital in northern Turkey between July and October 2023, involving 101 individuals with epilepsy (PWE). Descriptive information forms and the Morisky Medication Adherence Scale-4 (MMS-4) were used as data collection tools. Descriptive statistics, t-tests, ANOVA, and post-hoc LSD analyses were employed for data evaluation. RESULTS: The participants consisted of 65.3 % males, 25.7 % were not working due to epilepsy, and 61.4 % with generalized epilepsy. The average MMS-4 score was found to be 3.08 ± 0.96. MMS-4 scores showed significant differences based on epilepsy type (F = 3.998, p = 0.021; η2 = 0.07). 76.2 % (n = 21) of the participants who used at least one CIM technique preferred "having a religious person read a prayer." CONCLUSION: Medication adherence in PWE was at a moderate level. Individuals with focal and secondary generalized epilepsy showed better medication adherence compared to those with generalized types. Of those participant who used at least one CIM technique to improve their general health or control seizures, the most common was "having a religious person read a prayer."

Do syndemic conditions predict HIV medication adherence among urban African American men?

Much progress has been made in advancing antiretroviral (ART) adherence, yet disparities remain. To explore relationships of syndemic conditions - co-occurring health conditions caused by combinations of biological, social, and structural factors - to ART adherence among African American men, we used data from longitudinal assessments of 302 African American men enrolled in a study designed to increase physical activity and healthy eating. Syndemic conditions included alcohol dependency, drug dependency, depression, post-traumatic stress disorder, and unstable housing. A syndemic conditions variable was operationalized to indicate the presence of 0-5 conditions. About 55% of participants had 1 or more syndemic conditions. Age and marriage were positively associated with ART adherence, whereas number of syndemic conditions was negatively associated with adherence during the 12-month period. The interaction of being married and the syndemic conditions variable significantly predicted greater adherence. Similarly, the interaction of more education and the syndemic conditions variable predicted greater adherence. In multiple regression models, the syndemic conditions variable remained significant (-0.018) in predicting adherence; however, there was no significant interaction among the 5 conditions. This study lends evidence to syndemics literature indicating deleterious consequences of negative life experiences on health outcomes.

Behavioral Modeling and its Association with PrEP and ART Use in Ugandan HIV-Serodifferent Couples.

Integrating Pre-Exposure Prophylaxis (PrEP) delivery into Antiretroviral Therapy (ART) programs bridges the Human Immunodeficiency Virus (HIV) prevention gap for HIV-serodifferent couples prior to the partner living with HIV achieving viral suppression. Behavioral modeling is one mechanism that could explain health-related behavior among couples, including those using antiretroviral medications, but few tools exist to measure the extent to which behavior is modeled. Using a longitudinal observational design nested within a cluster randomized trial, this study examined the factor structure and assessed the internal consistency of a novel 24-item, four-point Likert-type scale to measure behavioral modeling and the association of behavioral modeling with medication-taking behaviors among heterosexual, cis-gender HIV-serodifferent couples. In 149 couples enrolled for research, a five-factor model provided the best statistical and conceptual fit, including attention to partner behavior, collective action, role modeling, motivation, and relationship quality. Behavioral modeling was associated with medication-taking behaviors among members of serodifferent couples. Partner modeling of ART/PrEP taking could be an important target for assessment and intervention in HIV prevention programs for HIV serodifferent couples.

Medication Adherence Among Patients With Kidney Disease: An Umbrella Review.

Chronic kidney disease (CKD) imposes a significant medication burden on patients due to the necessity of multiple treatments to slow disease progression, manage coexisting conditions, and address complications. The complex medication regimen, in turn, has implications for clinical and patient-centered outcomes. This umbrella review provides comprehensive evidence on extent of medication nonadherence among adults with CKD, as well as associated risk factors, outcomes, and the effectiveness of interventions by synthesizing evidence from published systematic reviews and/or meta-analyses. We identified 37 works that met our inclusion criteria. These reviews covered various aspects of treatment adherence in people with CKD, which can be categorized into four main themes: (i) prevalence of treatment nonadherence; (ii) factors associated with (non)adherent behaviors; (iii) outcomes associated with treatment (non)adherence; and (iv) interventions to improve treatment adherence or overall self-management practices. Approximately half of the included studies (15/34) focused on interventions aimed at improving medication adherence or overall CKD management, while outcomes associated with medication (non)adherence were relatively underexplored in the literature. The reported prevalence rates of medication nonadherence varied widely among reviews and stages of CKD. The determinants of adherence identified included socioeconomic variables, disease or clinical conditions, and psychosocial factors. Common interventions to improve adherence included nurse-led interventions, pharmaceutical services, and eHealth technologies, which had varying effects on medication adherence or dialysis sessions.

Police Violence Experienced by Black Gay and Bisexual Men: The Effects on HIV Care Engagement and Medication Adherence.

Black men face high rates of police violence, including direct victimization and indirect exposure to or knowledge of harmful policing. This violence can result in death and physical harm, as well as in numerous poor mental health outcomes. There has been little research examining experiences of police violence experienced by Black gay and bisexual men or the effects of police brutality on HIV continuum of care outcomes. To address this important gap, in this exploratory study, we examined the effects of police brutality on engagement in HIV care and adherence to antiretroviral medications. Cross-sectional survey data were collected from 107 Black gay and bisexual men living with HIV. The path analysis showed that men with greater exposure to police violence had increased symptoms of post-traumatic stress disorder and were more likely to have missed HIV care appointments in the past year. Additionally, there was a significant indirect effect of exposure to police violence on missed medication doses via PTSD symptoms.

How Does Anticipated HIV Stigma Affect Medication Adherence? A Longitudinal Path Analysis Model.

Prior research has documented that anticipated HIV stigma may play an important predictive role in medication adherence among people living with HIV (PLWH). However, longitudinal data on the mechanisms underlying this linkage are scarce. The current study aimed to explore the longitudinal mediation association among anticipated HIV stigma, medication adherence support, HIV self-management, and medication adherence. A four-wave sample consisting of 1,098 Chinese PLWH (Mage = 38.63, SD = 9.20; 63.9% male) with a six-month interval was used in the current study. Participants were asked to complete self-report questionnaires. A path analysis model was analyzed. Results indicate that anticipated HIV stigma at baseline was positively related to medication adherence at Time 4 (T4). Medication adherence support at Time 2 (T2) and HIV self-management at Time 3 (T3) serially mediated the anticipated HIV stigma at Time 1 (T1) and medication adherence at T4. These findings provide critical insights into the mediating roles of medication adherence support and HIV self-management in the relationship between anticipated HIV stigma and medication adherence over time. Such an understanding has important implications for the development of tailored interventions and public health strategies aimed at improving medication adherence among PLWH in the context of HIV-related stigma.

Effectiveness of an intervention to improve ART adherence among men who have sex with men living with HIV: a randomized controlled trial in three public HIV clinics in Mexico.

We conducted a parallel-group randomized controlled trial in three HIV clinics in Mexico to evaluate a user-centred habit-formation intervention to improve ART adherence among MSM living with HIV. We randomized 74 participants to the intervention group and 77 to the control group. We measured adherence at one, four, and ten months through medication possession ratio and self-reported adherence. Additionally, we measured viral load, CD4 cell count, major depression disorder symptoms, and alcohol and substance use disorder at baseline, fourth and tenth months. We found no statistically significant effect on adherence between groups. However, the intervention demonstrated positive results in major depression disorder symptoms (21% vs. 6%, p = 0.008) and substance use disorder (11% vs. 1%, p = 0.018) in the fourth month. The latter is relevant because, in addition to its direct benefit, it might also improve the chances of maintaining adequate adherence in the long term. This trial was retrospectively registered at ClinicalTrials.gov (trial number NCT03410680) on 8 January 2018.Trial registration: ClinicalTrials.gov identifier: NCT03410680.

Impact of depressive symptoms on medication adherence in older adults with chronic neurological diseases.

BACKGROUND: Nonadherence to medication contributes substantially to worse health outcomes. Especially among older adults with chronic illness, multimorbidity leads to complex medication regimes and high nonadherence rates. In previous research, depressive symptomology has been identified as a major contributor to nonadherence, and some authors hypothesize a link via motivational deficits and low self-efficacy. However, the exact mechanisms linking depressive symptomology and nonadherence are not yet understood. This is in part because the often-employed sum scores cannot do justice to the complexity of depressive symptomology; instead, it is recommended to assess the influence of individual symptoms. METHODS: Following this symptom-based approach, we performed correlation, network and regression analysis using depressive symptoms as depicted by the items of the revised Beck Depression Inventory II (BDI) to assess their influence with nonadherence in N = 731 older adults with chronic neurological diseases. Nonadherence was measured with the self-report Stendal Adherence to Medication Score (SAMS). RESULTS: Even when controlling for sociodemographic and health-related covariates, the BDI remained the most influential contributor to nonadherence. Across different methods, Loss of Interest and Difficulty with Concentration were identified as particularly influential for nonadherence, linking nonadherence with other affective or somatic BDI items, respectively. Additionally, Fatigue, Problems with Decision Making, Suicidal Thoughts, and Worthlessness contribute to nonadherence. CONCLUSION: Using a symptom-driven approach, we aimed to understand which depressive symptoms contribute to higher levels of nonadherence. Our results refine previous hypotheses about motivation and control beliefs by suggesting that it is not merely a lack of beliefs in the efficacy of medication that connects depressive symptoms and nonadherence, but rather an overall lack of interest in improving one's health due to feelings of worthlessness and suicidal tendencies. This lack of interest is further substantiated by already sparse resources caused by changes in concentration and fatigue. In order to improve health outcomes and reduce nonadherence, these associations between depressive symptoms must be further understood and targeted in tailored interventions.

A Cluster-Randomized Controlled Trial of an Economic Strengthening Intervention to Enhance Antiretroviral Therapy Adherence among Adolescents Living with HIV.

We examined the impact of an economic empowerment intervention on ART adherence among ALHIV. We used data from 455 ALHIV, randomized into intervention, n = 111, and control n = 344. ALHIV were aged 12-16 and recruited from 39 clinics in Uganda between January 2013 and December 2015. The intervention comprised a long-term child development account (CDA), micro-enterprise workshops, and educational sessions. Adherence was measured using unannounced pill counts. We used mixed-effects logistic regression analysis to examine the effect of the intervention on ART adherence. The mean age was 12.6 years. Despite observing non-significant group main effects, we found significant group-by-time interaction effects χ2(5) = 45.41, p < 0.001. Pairwise comparisons showed that compared to the control group, participants who received the intervention had significantly higher adherence at visit four, OR = 1.52 (95% CI: 1.07-2.18), p = 0.020; visit five, OR = 1.59 (95% CI: 1.06-2.38), p = 0.026; and visit six, OR = 1.94 (95% CI: 1.24-3.04), p = 0.004. Efforts to support ALHIV to live longer and healthier lives should incorporate components addressing poverty. However, declining adherence raises concerns over ALHIV's long-term well-being. The trial was registered at ClinicalTrials.gov, registration number NCT01790373, with a primary outcome of adherence to HIV treatment.

Emotional Distress Predicts Reduced Type 2 Diabetes Treatment Adherence in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE).

OBJECTIVE: We examined longitudinal associations between emotional distress (specifically, depressive symptoms and diabetes distress) and medication adherence in Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE), a large randomized controlled trial comparing four glucose-lowering medications added to metformin in adults with relatively recent-onset type 2 diabetes mellitus (T2DM). RESEARCH DESIGN AND METHODS: The Emotional Distress Substudy assessed medication adherence, depressive symptoms, and diabetes distress in 1,739 GRADE participants via self-completed questionnaires administered biannually up to 3 years. We examined baseline depressive symptoms and diabetes distress as predictors of medication adherence over 36 months. Bidirectional visit-to-visit relationships were also examined. Treatment satisfaction, beliefs about medication, diabetes care self-efficacy, and perceived control over diabetes were evaluated as mediators of longitudinal associations. RESULTS: At baseline, mean ± SD age of participants (56% of whom were White, 17% Hispanic/Latino, 18% Black, and 66% male) was 58.0 ± 10.2 years, diabetes duration 4.2 ± 2.8 years, HbA1c 7.5% ± 0.5%, and medication adherence 89.9% ± 11.1%. Higher baseline depressive symptoms and diabetes distress were independently associated with lower adherence over 36 months (P < 0.001). Higher depressive symptoms and diabetes distress at one visit predicted lower adherence at the subsequent 6-month visit (P < 0.0001) but not vice versa. Treatment assignment did not moderate relationships. Patient-reported concerns about diabetes medications mediated the largest percentage (11.9%-15.5%) of the longitudinal link between emotional distress and adherence. CONCLUSIONS: Depressive symptoms and diabetes distress both predict lower adherence to glucose-lowering medications over time among adults with T2DM. Addressing emotional distress and concerns about anticipated negative effects of taking these treatments may be important to support diabetes treatment adherence.

Association between cognitive impairment and antiseizure medication adherence among people with epilepsy in Addis Ababa, Ethiopia.

BACKGROUND: Cognitive impairment is one of the most common and most troublesome comorbidities among people with epilepsy (PWE). Adherent use of antiseizure medications (ASM) can control seizure episodes in 70% of the cases. However, the relationship between adherent use of ASMs and cognitive impairment in epilepsy is complex. OBJECTIVE: To assess the association between adherence to ASMs and cognitive status among PWE. METHODS: We performed a cross-sectional observational study with prospective data collection from PWE using translated and content-validated Amharic versions of the Montreal cognitive assessment tool (MOCA-B) and a four-item Morisky Medication Adherence Scale (Morski-4). Ordinal logistic regression analysis was performed to evaluate the potential risk factors for cognitive impairment, including ASM adherence, physical exercise, and level of education. RESULTS: A total of 214 individuals with epilepsy were included in this study; 53.7 % were female, and the mean age was 34 years ± 12. The mean age at seizure occurrence was 19 years ± 9. The most common epilepsy type among participants was generalized epilepsy (69 %). The prevalence of poor medication adherence to ASM was 54.2 %. The prevalence of mild cognitive impairment was 65.4 %, and 18.2 % had moderate cognitive impairment, particularly affecting verbal fluency (60.8 %) and memory (43.9 %). Cognitive impairment was significantly associated with poor ASM adherence (AOR = 12.0, 95 %CI, (1.53, 93.75), lower level of physical exercise (AOR = 16.30, 95 %CI (1.24, 214.99), and poor educational attainment with both no formal education (AOR = 0.04, 95 %CI (0.02, 0.14)) and primary or secondary level education (AOR = 0.32, 95 %CI, (0.15, 0.70). CONCLUSIONS: There is a high rate of cognitive impairment and non-adherence to ASMs in PWE living in Addis Ababa, Ethiopia. Poor ASM adherence is a possible risk factor for cognitive impairment. PWE can benefit from interventions to improve ASM adherence, physical exercise, and better educational attainment.