Discrepancies between self-reported medication in adherence and indirect measurement adherence among patients undergoing antiretroviral therapy: a systematic review.

BACKGROUND: Given the critical importance of medication adherence in HIV/AIDS treatment, this study aims to compare medication adherence measured by self-report (SR) and indirect measurement among antiretroviral therapy (ART) patients, exploring the differences of adherence results measured by different tools. METHODS: We systematically searched PubMed, Embase, and the Cochrane Library to identify all relevant literature published up to November 22, 2023, without language restrictions, reporting adherence to ART measured by both SR and indirect measurement methods, while also analyzing individual and group adherence separately. Discrepancies between SR and indirect measurement results were assessed using the Mann-Whitney U test or Wilcoxon signed-rank test, with correlations evaluated using the Pearson correlation coefficient. Following one-to-one comparisons, meta-epidemiological one-step analysis was conducted, and network meta-analysis techniques were applied to compare results obtained through specific adherence assessment tools reported in the identified articles. RESULTS: The analysis encompassed 65 original studies involving 13,667 HIV/AIDS patients, leading to 112 one-to-one comparisons between SR and indirect measurement tools. Statistically significant differences were observed between SR and indirect measurement tools regarding both individual and group adherence (P < 0.05), with Pearson correlation coefficients of 0.843 for individual adherence and 0.684 for group adherence. During meta-epidemiological one-step analysis, SR-measured adherence was determined to be 3.94% (95% CI: -4.48-13.44%) higher for individual adherence and 16.14% (95% CI: 0.81-18.84%) higher for group adherence compared to indirectly measured results. Subgroup analysis indicated that factors such as the year of reporting and geographic region appeared to influence the discrepancies between SR and indirect measurements. Furthermore, network meta-analysis revealed that for both individual and group adherence, the results obtained from most SR and indirect measurement tools were higher than those from electronic monitoring devices, with some demonstrating statistical significance (P < 0.05). CONCLUSIONS: The findings underscored the complexity of accurately measuring medication adherence among ART patients. Significant variability was observed across studies, with self-report methods showing a significant tendency towards overestimation. Year of reporting, geographic region, and adherence measurement tools appeared to influence the differences between SR and indirect measurements. Future research should focus on developing and validating integrated adherence measurements that can combine SR data with indirect measures to achieve a more comprehensive understanding of adherence behaviors.

Determinants of adherence to post-stroke/transient ischemic attack secondary prevention medications: A cohort study.

BACKGROUND: Adherence to post-stroke secondary prevention medications mitigates recurrence risk. This study aimed to measure adherence to secondary prevention medications during 3 years post-ischemic stroke/transient ischemic attack, using prescription and dispensing data, and identify factors associated with suboptimal adherence. METHODS: This multicenter, prospective, cohort study involved patients from the STROKE 69 cohort, which included all consecutive patients with suspected acute stroke admitted between November 2015 and December 2016 to any emergency department or stroke center in the Rhône area in France. Prescription data for antihypertensive agents, antidiabetic agents, lipid-lowering drugs, and antithrombotics were collected. Dispensing data were provided by the French regional reimbursement database. Adherence was calculated using the continuous medication acquisition index. Associations between suboptimal adherence and potential influencing factors across the World Health Organization's five dimensions were explored through univariate and multivariate analyses. RESULTS: From 1512 eligible patients, 365 were included. Optimal adherence to overall treatment (≥90%) was observed in 61%, 62%, and 65% of patients in the first, second, and third years, respectively. Education level (high school diploma or higher: OR = 3.24, 95% CI [1.49; 7.36]) and depression (Hospital Anxiety and Depression Scale-Depression scores 8-10: OR = 1.90, 95% CI [1.05; 3.44]) were significantly associated with suboptimal adherence. CONCLUSIONS: Overall adherence to secondary prevention medications was fairly good. Having an initial diagnosis of transient ischemic attack, a high level of education, or depression was associated with increased odds of suboptimal adherence, while having a history of heart rhythm disorder was associated with lower odds.

[Translated article] Digital health for promoting adherence to antiretroviral treatment in patients with HIV/AIDS: A meta-review.

INTRODUCTION: Digital health or "e-health" is a set of applications based on information and communication technologies (ICTs) that can be used to promote self-care and medication adherence in patients with chronic diseases. The aim of this study was to carry out a review of systematic reviews (meta-review) on efficacy studies of e-health interventions to promote adherence to antiretroviral therapy (ART) in people living with HIV/AIDS. METHODOLOGY: A review of systematic reviews ("meta-review") was performed using the Medline-PubMed database on efficacy studies of e-health components to promote adherence to ART, in patients with HIV/AIDS, proposing a structured search strategy (PICO question). A selection process for systematic reviews was conducted based on inclusion and exclusion criteria. Subsequently, the corresponding data were extracted, and the analysis was accomplished in descriptive tables. RESULTS: A total of 29 systematic reviews were identified, from which 11 were selected. These reviews comprised 55 RCTs with different e-health interventions and enrolled a total of 15,311 HIV/AIDS patients. Studies included a total of 66 comparisons (experimental group vs. control group) in indirect adherence measurements based on different measurement techniques (36 statistically significant); 21 comparisons of viral load (VL) measurements (10 statistically significant); and 8 comparisons of CD4+ cell count measurements (3 statistically significant). m-Health was the most studied component followed by the telephone call and e-learning. CONCLUSION: Evidence was found that supports that some e-health interventions are effective in promoting adherence to ART and improving health outcomes in patients with HIV/AIDS, although it is identified that more studies are needed for more robust evidence.

Assessment of adherence to treatment recommendations among patients with heart failure: a cross-sectional study.

BACKGROUND: Heart failure (HF) is a chronic condition characterized by significant impairment of the cardiovascular system, leading to a decline in health-related quality of life, recurrent hospitalizations, and increased mortality risk. It poses a substantial challenge for modern medicine, particularly when patients fail to adhere to therapeutic recommendations. The primary aim of this study was to evaluate the level of adherence to therapeutic guidelines among patients with HF and identify factors influencing adherence levels. METHODS: The study comprised 105 HF patients admitted to the cardiology department. A diagnostic survey approach was utilized, employing the Adherence in Chronic Diseases Scale (ACDS) along with a self-developed questionnaire. RESULTS: The findings revealed that 39.05% of participants exhibited a moderate level of adherence to therapeutic recommendations, while 34.29% reported high adherence and 26.67% displayed low adherence. Most of the patients (n = 66) had a rather good level of knowledge. Factors such as higher education (p < 0.001), engagement in mental work (p = 0.001), favorable socioeconomic status (p < 0.001), being in a stable relationship (p < 0.001), and residing with family (p < 0.001) were associated with increased adherence levels. The multivariable linear regression model indicated significant (p < 0.05) independent predictors that positively influenced the ACDS score, including being in a relationship, widowhood, and average or poor financial situation. Conversely, factors such as obesity and respiratory diseases were associated with a decrease in the ACDS score (p < 0.05). CONCLUSIONS: This study underscores the moderate adherence level to therapeutic recommendations among HF patients. Sociodemographic factors including education level, relationship status, occupation, financial stability, and living arrangements significantly impact adherence. Conversely, patients with obesity, respiratory conditions, or frequent HF-related hospitalizations demonstrate lower adherence. Patient education emerges as a pivotal factor influencing adherence. Tailored interventions targeting these factors could enhance adherence and optimize HF management outcomes.

Treatment patterns and factors associated with adherence in pulmonary arterial hypertension.

OBJECTIVE: Improving understanding of actual pulmonary hypertension (PH) treatment adherence patterns is crucial to properly treating these patients. We aimed to primarily assess adherence to treatments used for pulmonary arterial hypertension (PAH) and chronic thromboembolic pulmonary hypertension (CTEPH) specific therapies, identify potential factors related to it and secondly describe its treatment patterns. METHODS: A 6-month observational cross-sectional study in a tertiary care hospital was conducted. Patients with PH-targeted therapy who picked it up in the ambulatory hospital pharmacy and who had been on treatment with the same drug for at least 1 year were included. Adherence was assessed as: 1) Proportion of days covered (PDC); and 2) Simplified Medication Adherence Questionnaire (SMAQ). PDC ≥80% was considered adherent. Statistical analyses were performed to evaluate the study outcomes. Logistic regressions were estimated to identify the association between baseline characteristics and factors associated with adherence. P < 0.05 indicated statistical significance. RESULTS: A total of 63 patients with 127 different treatments were included, 71.4% were females with a mean age (SD) of 59 (15) years. PAH was the most common diagnosis (74.6%). Double therapy was used in 39.7% of patients, being the combination of Macitentan + Tadalafil and Ambrisentan + Tadalafil the most prescribed. Endothelin receptor antagonists were the most used treatment (40.2%). Adherence according to PDC was 93.7%, showing no great differences depending on the targeted drug used, and according to SMAQ 61.9%. The agreement degree of both methods was slight (65.1%; Kappa 0.12). Only female sex (OR: 0.23, 95% CI: 0.06-0.90; p = 0.035) was associated with worse adherence in the SMAQ method but not in the PDC. Adverse events were reported by a 55.6% of participants and the perception of effective treatment was high (95.2%). CONCLUSIONS: Adherence to PH therapy differs depending on the assessment method; PDC showed greater adherence rate than SMAQ. According to SMAQ, female sex may have a negative impact on adherence in this cohort, but PDC revealed no factors influencing it. No notable differences in adherence between treatment types were found and generally patients felt the treatments were effective in controlling their disease.

The Global Burden of Resistant Hypertension and Potential Treatment Options.

Resistant hypertension (RH) is defined as systolic blood pressure (SBP) or diastolic blood pressure (DBP) that remains .140 mmHg or .90 mmHg, respectively, despite an appropriate lifestyle and the use of optimal or maximally tolerated doses of a three-drug combination, including a diuretic. This definition encompasses the category of controlled RH, defined as the presence of blood pressure (BP) effectively controlled by four or more antihypertensive agents, as well as refractory hypertension, referred to as uncontrolled BP despite five or more drugs of different classes, including a diuretic. To confirm RH presence, various causes of pseudo-resistant hypertension (such as improper BP measurement techniques and poor medication adherence) and secondary hypertension must be ruled out. Inadequate BP control should be confirmed by out-of-office BP measurement. RH affects about 5% of the hypertensive population and is associated with increased cardiovascular morbidity and mortality. Once RH presence is confirmed, patient evaluation includes identification of contributing factors such as lifestyle issues or interfering drugs/substances and assessment of hypertension-mediated organ damage. Management of RH comprises lifestyle interventions and optimisation of current medication therapy. Additional drugs should be introduced sequentially if BP remains uncontrolled and renal denervation can be considered as an additional treatment option. However, achieving optimal BP control remains challenging in this setting. This review aims to provide an overview of RH, including its epidemiology, pathophysiology, diagnostic work-up, as well as the latest therapeutic developments.

Improving medication adherence among persons with cardiovascular disease through m-health and community health worker-led interventions in Kerala; protocol for a type II effectiveness-implementation research-(SHRADDHA-ENDIRA).

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality worldwide, and at present, India has the highest burden of acute coronary syndrome and ST-elevation myocardial infarction (MI). A key reason for poor outcomes is non-adherence to medication. METHODS: The intervention is a 2 × 2 factorial design trial applying two interventions individually and in combination with 1:1 allocation ratio: (i) ASHA-led medication adherence initiative comprising of home visits and (ii) m-health intervention using reminders and self-reporting of medication use. This design will lead to four potential experimental conditions: (i) ASHA-led intervention, (ii) m-health intervention, (iii) ASHA and m-health intervention combination, (iv) standard of care. The cluster randomized trial has been chosen as it randomizes communities instead of individuals, avoiding contamination between participants. Subcenters are a natural subset of the health system, and they will be considered as the cluster/unit. The factorial cluster randomized controlled trial (cRCT) will also incorporate a nested health economic evaluation to assess the cost-effectiveness and return on investment (ROI) of the interventions on medication adherence among patients with CVDs. The sample size has been calculated to be 393 individuals per arm with 4-5 subcenters in each arm. A process evaluation to understand the effect of the intervention in terms of acceptability, adoption (uptake), appropriateness, costs, feasibility, fidelity, penetration (integration of a practice within a specific setting), and sustainability will be done. DISCUSSION: The effect of different types of intervention alone and in combination will be assessed using a cluster randomized design involving 18 subcenter areas. The trial will explore local knowledge and perceptions and empower people by shifting the onus onto themselves for their medication adherence. The proposal is aligned to the WHO-NCD aims of improving the availability of the affordable basic technologies and essential medicines, training the health workforce and strengthening the capacity of at the primary care level, to address the control of NCDs. The proposal also helps expand the use of digital technologies to increase health service access and efficacy for NCD treatment and may help reduce cost of treatment. TRIAL REGISTRATION: The trial has been registered with the Clinical Trial Registry of India (CTRI), reference number CTRI/2023/10/059095.

A cross-sectional study of predictive factors of health literacy among rheumatoid arthritis patients in China.

Objective: To investigate the factors that influence health literacy (HL) among Chinese patients with rheumatoid arthritis (RA) and furnish theoretical underpinnings for the development of intervention strategies aimed at enhancing patients' quality of life. Methods: From May 2022 to December 2022, a comprehensive survey was conducted among both outpatients and inpatients diagnosed with (RA) in a tertiary hospital in China. The survey utilized various instruments, including a general information questionnaire, a chronic disease patient health literacy scale, the Health Assessment Questionnaire-Disability Index (HAQ-DI), the Chinese-translated Rheumatoid Arthritis Self-Efficacy Scale, the Chinese-translated Rheumatoid Arthritis Stigma Scale, and the Chinese-translated Compliance Questionnaire for Rheumatology Treatments. Results: The average scores of HL, self-efficacy, medication adherence, and disability index were 83.54 ± 17.43, 84.91 ± 14.37, 70.16 ± 11.24, and 0.26 ± 0.44, respectively. HL in Chinese RA patients was negatively correlated with age, erythrocyte sedimentation rate (ESR), number of tender joints, number of swollen joints, and disease activity, while positively correlated with self-efficacy and medication adherence. Age, disease activity, disability index, self-efficacy, and medication adherence are predictive factors of HL, and a predictive model has been initially constructed. Conclusion: In the management of RA, healthcare professionals should develop and implement effective intervention measures by focusing on improving medication adherence, enhancing patients' self-efficacy, improving patients' physical function, and reducing disease activity. This will help enhance the health literacy and promote clinical outcomes in RA patients.

Technology-Based Strategy to Improve Medication Compliance Among Patients With Schizophrenia Spectrum Disorders.

INTRODUCTION:  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. METHOD: 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.

Association Between Symptom Severity and Medication Adherence in Adults with Bipolar Disorder Reporting Adherence Challenges.

Background: Given the importance of medication adherence among individuals with bipolar disorder (BD), this analysis from an ongoing randomized controlled trial (RCT) examined the relationship between BD symptoms, functioning and adherence in 69 poorly adherent adults with BD. Method: Study inclusion criteria included being ≥ 18 years old with BD Type 1 or 2, difficulties with medication adherence and actively symptomatic as measured by Brief Psychiatric Rating Scale (BPRS) score ≥ 36, Young Mania Rating Scale (YMRS) > 8 or Montgomery Asberg Depression Rating Scale (MADRS) > 8. Adherence was measured in 2 ways: 1) the self-reported Tablets Routine Questionnaire (TRQ) and 2) electronic pill container monitoring (eCap pillbox). BD symptoms and functioning were measured with the MADRS, YMRS, Clinical Global Impressions Scale (CGI), and Global Assessment of Functioning (GAF). Only screening and baseline data were examined. Results: Mean age was 42.32 (SD = 12.99) years, with 72.46% (n = 50) female and 43.48% (n = 30) non-white. Mean past 7-day percentage of days with missed BD medications using TRQ was 40.63% (SD = 32.61) and 30.30% (SD = 30.41) at screening and baseline, respectively. Baseline adherence using eCap was 42.16% (SD = 35.85) in those with available eCap data (n = 41). Worse adherence based on TRQ was significantly associated with higher MADRS (p = 0.04) and CGI (p = .03) but lower GAF (p = 0.02). eCAP measured adherence was not significantly associated with clinical variables. Conclusion: While depression and functioning were approximate markers of adherence, reliance on patient self-report or BD symptom presentation may give an incomplete picture of medication-taking behaviors.

Initiation of lipid-lowering therapy as primary prevention of cardiovascular disease in the elderly.

AIMS: This study aimed to analyse the initiation adherence phase to lipid-lowering therapy for primary prevention of cardiovascular disease in a Spanish population aged 70 years or older. The secondary objective was to identify the determinants of initiation and early discontinuation. METHODS: This was an observational study conducted in the CArdiovascular Risk factors for HEalth Service research (CARhES) cohort. People aged 70 and older with a first prescription of a lipid-lowering drug and without a previous major adverse cardiovascular event (MACE) were selected (2018-2021). Data on sociodemographics, clinical conditions, drugs and use of health services were collected from clinical and administrative electronic databases. The study population was classified into: non-initiation, early discontinuation (i.e., discontinuation after the first dispensing) and initiation with more than one dispensing. Their characteristics were compared. Determinants of initiation and early discontinuation were explored. RESULTS: Among the 15 019 people studied, 80.2% initiated the medication, 11.2% showed an early discontinuation and 8.6% were non-initiators. An older age or conditions such as dementia, diabetes or depression reduced the likelihood of initiation, while obesity and a high pharmacological burden increased it. People over 90 years of age or those prescribed a statin in combination were more likely to have an early discontinuation. CONCLUSIONS: Non-initiation and early discontinuation are common among older people prescribed lipid-lowering drugs as primary prevention of cardiovascular disease for the first time. The presence of chronic pathologies other than cardiovascular ones should be considered when assessing whether or not to prescribe these drugs in the elderly.

Determinants of medication adherence among elderly with high blood pressure living in deprived areas.

INTRODUCTION: The current study was conducted to determine the impact of health literacy and factors related to adherence to drug treatment, using the model proposed by the World Health Organization, in older adults with hypertension residing in informal settlements in Hamadan. METHODS: This cross-sectional study was conducted on 405 patients in Hamadan city, located in the western part of Iran. Data were collected using an interviewer-administered questionnaire that included the 5-dimensional model proposed by the World Health Organization, Health Literacy for Iranian Adults, and Morisky Medication Adherence Scale-8. A two-stage sampling procedure was used to select patients from 14 comprehensive health service centers and health bases. The data were analyzed using SPSS v.24. RESULTS: The study found that medication adherence was suboptimal in 63% of the participants. Additionally, 87.5% of patients had inadequate or insufficient health literacy. Factors related to medication adherence included age (odds ratio (OR) = 1.07), annual income (OR = 0.17), duration of hypertension (OR = 7.33), health literacy (OR = 1.03), self-reported health status (P < 0.05), and regular medication use (P < 0.008). CONCLUSION: The results of this study indicate that more than half of the older adults in the study had suboptimal medication adherence and insufficient health literacy. The study also found that various factors, such as socioeconomic status, disease and treatment-related factors, and patient-related factors, influence medication adherence among older adults.

Medication regimen complexity and its impact on medication adherence in patients with multimorbidity at a comprehensive specialized hospital in Ethiopia.

Background: Medication regimen complexity (MRC) is suspected to hinder medication adherence in patients with multiple illnesses. Despite this, the specific impact on Ethiopian patients with multimorbidity is unclear. This study assessed MRC and its impact on medication adherence in patients with multimorbidity. Methods: A hospital-based cross-sectional study was conducted on patients with multimorbidity who had been followed at the University of Gondar Comprehensive and Specialized Hospital (UoGCSH), Ethiopia, from May to July 2021. Medication complexity was measured using the validated Medication Regimen Complexity Index (MRCI) tool, and the Adherence in Chronic Diseases Scale (ACDS) was used to measure medication adherence. Pearson's chi-square test was used to examine associations between MRCI levels and medication adherence. Ordinal logistic regression analysis was used to determine the impact of MRC and other associated variables on medication adherence. Statistical significance was determined using the adjusted odds ratio (AOR) at p-value <0.05 and its 95% confidence range. Results: Out of 422 eligible patients, 416 (98.6%) were included in the study. The majority of participants (57.2%) were classified as having a high MRCI score with a mean (±SD) score of 9.7 (±3.4). Nearly half of the patients (49.3%) had low medication adherence. Patients with medium (AOR = 0.43, 95% CI: 0.04, 0.72) and higher (AOR = 0.31, 95% CI: 0.07, 0.79) MRCI levels had lower odds of medication adherence. In addition, monthly income (AOR = 4.59, 95% CI: 2.14, 9.83), follow-up durations (AOR = 2.31, 95% CI: 1.09, 4.86), number of medications (AOR = 0.63, 95% CI: 0.41, 0.97), and Charlson comorbidity index (CCI) (AOR = 0.36, 95% CI: 0.16, 0.83) were significantly associated with medication adherence. Conclusion: Medication regimen complexity in patients with multimorbidity was found to be high and negatively impacted the levels of medication adherence. Healthcare providers and other stakeholders should seek interventions aimed at simplifying drug regimen complexity and improving adherence.

Effectiveness of mHealth apps on adherence and symptoms to oral anticancer medications: a systematic review and meta-analysis.

PURPOSE: Despite the rapid expansion of mHealth apps, their adoption has not always been based on evidence of effectiveness on patient outcomes. This systematic review aimed to determine the effect of mHealth apps on adherence and symptom to oral anticancer medications (OAMs) and identify the app design that led to such effects. METHODS: Pubmed, Cochrane Central, PsycINFO, EMBASE, and WoS were searched from inception to April 2023. Randomised controlled trials (RCTs) that evaluated effects of mHealth apps on primary outcomes OAM adherence and symptom burden were included. Two reviewers independently assessed risk-of-bias using Cochrane Risk-of-Bias version 2 and extracted the data. Quality of evidence was assessed using GRADE. The protocol was registered in PROSPERO (CRD42023406024). RESULTS: Four RCTs involving 806 patients with cancer met the eligibility criteria. mHealth apps features included a combinations of symptom reporting, medication reminder, automated alert to care team, OAM and side effect information, one study implemented structured follow-up by a nurse. The intervention group showed no significant difference in OAM adherence (relative ratio 1.20; 95% CI 1.00 to 1.43), but significantly improved symptoms to OAMs with a lower standardised mean symptom burden score of 0.49 (SMD - 0.49; 95% CI - 0.93 to - 0.06), and a 25% lower risk of grade 3 or 4 toxicity (risk ratio 0.75; 95% CI 0.58 to 0.95) compared to usual care. CONCLUSION: These findings suggest a potential role for mHealth app in managing OAM side effect. Further research should explore the role of AI-guided algorithmic pathways on the interactive features of mHealth apps.

Impact of Cardiovascular Imaging Results on Medication Use and Adherence: A Systematic Review and Meta-Analysis.

INTRODUCTION: Cardiovascular imaging results offer valuable information that can guide health decisions, but their impact on medication use and adherence is unclear. This systematic review and meta-analysis aimed to determine the downstream impact of cardiovascular imaging results on medication use and adherence. METHODS: Searches were conducted across databases, including MEDLINE, PsychINFO, EMBASE, and relevant references up to 2024. Data were extracted from studies comparing outcomes for individuals with diseased versus normal arteries and trials comparing outcomes for individuals who were provided imaging results versus those with no access to imaging results and analysed in 2023 and 2024. Pooled odds ratios (ORs) for outcomes were calculated. RESULTS: The analysis included 29 studies with 24 contributing data points. Initiation (OR:2.77;95% CI:1.82-4.20) and continuation (OR:2.06;95% CI:1.28-3.30) of lipid-lowering medications (LLMs), antihypertensives (OR:2.02;95% CI:1.76-2.33), and antiplatelets (OR:2.47;95% CI:1.68-3.64) were significantly higher in individuals with diseased arteries. The proportion of individuals on LLM increased by 2.7-fold in those with diseased arteries and 1.5-fold in those with normal arteries post-screening. The proportion on LLM increased by 4.2 times in the imaging group and 2.2 times in the "no imaging group" post-screening. There was a significant increase in LLM initiation (OR:2.37;95% CI: 1.17- 4.79) in the imaging group, but medication continuation did not significantly differ between the imaging and "no imaging group". DISCUSSION: Cardiovascular imaging results can prompt initiation of medications, particularly lipid-lowering medications, reflecting a proactive response to identified risk factors. However, evidence regarding medication continuation is mixed, and further research is required.

Patient-reported barriers for adherence to prophylactic enoxaparin after orthopedic trauma surgery.

INTRODUCTION: Venous thromboembolism following orthopedic trauma surgery remains prevalent despite prophylaxis being a standard of care. Enoxaparin injection is a commonly utilized prophylaxis regimen among high-risk patients. Patient-reported rates of nonadherence and barriers to enoxaparin use are not described in the literature. A better understanding of these barriers and their impact on adherence to post-discharge prophylaxis regimens may shed light on persistent outcomes gaps. MATERIALS AND METHODS: Semi-structured interviews were administered to adult patients prescribed prophylactic enoxaparin and presenting to orthopedic surgery outpatient clinic at an urban level 1 trauma center for a post-operative appointment following traumatic injury from April to July 2023. Patients self-reported their age, gender, race, and mobility. Inductive thematic analysis with three-reviewer consensus identified common barriers among responses. Adherence rates were calculated by dividing patients' estimated number of missed doses over total prescribed doses at the point of inquiry. RESULTS: We identified 154 eligible patients through chart review, and 50 enrolled and interviewed. Participants had a mean age of 37 years. Of 50 participants, 20 identified as female; 25 identified as Black or African American, 16 as White, 5 as Hispanic, 2 as Asian, and 2 as multiracial. Twenty-one participants were non-ambulatory at time of interview. Mean and median patient-reported adherence were 64.5 % (SD 35.5) and 70.5 % (IQR 33-100) respectively. Five patients reported complete nonadherence, while 17 patients reported perfect adherence. Every participant reporting complete nonadherence identified as Black or African American, as compared to 8 out of 17 reporting perfect adherence. Despite acknowledging a twice-daily prescription, 17 patients reported once-daily rather than twice-daily use. Inductive thematic analysis revealed the following six barriers to prophylaxis adherence (number of participants reporting): Inconvenience (18 patients), Pain (16), Fear (12), Acquisition (7), Bruising (7), and Mechanism (7). Altogether, 40 patients endorsed at least one barrier to adherence. DISCUSSION & CONCLUSIONS: Most patients face barriers to adherence with post-discharge prophylactic enoxaparin, and the resultant rates of adherence are low. This may contribute to persistent outcomes gaps in the orthopedic trauma population despite prophylaxis standards. Changes in prescribing patterns and patient engagement techniques may improve post-operative thromboembolic outcomes.

Factors Affecting Adherence in Allergic Disorders and Strategies for Improvement.

Addressing patient adherence is a key element in ensuring positive health outcomes and improving health-related quality of life for patients with atopic and immunologic disorders. Understanding the complex etiologies of patient non-adherence and identifying real-world solutions is important for clinicians, patients, and systems to design and effect change. This review serves as a key resource for defining key issues related to patient non-adherence and outlines solutions, resources, knowledge gaps, and advocacy areas across five domains: healthcare access, financial considerations, socio-environmental factors, health literacy, and psychosocial factors. To allow for more easily digestible and usable content, we describe solutions based on three macro-levels of focus: patient, clinician, and system. This review and interactive toolkit serve as an educational resource and call to action to improve equitable distribution of resources, institutional policies, patient-centered care, and practice guidelines for improving health outcomes for all patients with atopic and immunologic disorders.

Three-Year Follow-up of PositiveLinks: Higher Use of mHealth Platform Associated with Sustained HIV Suppression.

PositiveLinks (PL) is a mHealth platform to support care engagement by people with HIV (PWH). Daily reminders prompt the user to report medication adherence, mood, and daily stress. Higher response rate to PL check-ins has been associated with better suppression of viral load over 6-18 months. We conducted a retrospective chart review for a three-year period collecting demographic information, average mood and stress scores, and all viral loads obtained in usual patient care. We performed multivariable logistic regression modeling to identify factors associated with loss of viral load suppression and a time-to-event survival analysis until first unsuppressed viral load stratified by PL usage. Of the 513 PWH included, 103 had at least one episode of viral non-suppression. Low users of PL were more likely to have an unsuppressed viral load with an adjusted Odds Ratio (aOR) of 5.8 (95% CI 3.0-11.5, p < 0.001). Protective factors included older age (aOR 0.96; 95% CI 0.93-0.98, p = 0.003) and income above the federal poverty level (FPL) (aOR 0.996; 95% CI 0.995-0.998, p < 0.001). High PL use was also associated with better viral load suppression (VLS) over time (p < 0.0001 ((aHR) of 0.437 (95% CI 0.290-0.658, p < 0.001)) after adjusting for age and FPL. High stress scores were related to subsequent loss of viral suppression in an exploratory analysis. High check-in response rate on the PL app, older age, and higher income are associated with sustained VLS over time. Conversely, lack of response to check-ins or increased reported stress may signal a need for additional support.

Association of quality of life with medication adherence and glycemic control in patients with type 1 diabetes.

Background and objectives: Psychological factors and patients' health-related quality of life (HRQOL) affect the outcome of patients with type 1 diabetes mellitus (T1DM). In this study, we aimed to determine the HRQOL status in patients with T1DM and its association with glycemic control and medication adherence. Methods: In this cross-sectional study, 227 T1DM patients were selected from the diabetes clinic, Imam Ali Hospital, Alborz University of Medical Sciences, and the Gabric database registry from 2020 to 2022. Demographic and diabetes characteristic checklist, medication adherence questionnaire (8-item Morisky Medication Adherence Scale (MMAS)), and QOL questionnaires (Short-Form-12 and PedsQL) were filled. Independent sample T-test was used to assess mean of QOL subscales with glycemic control and medication adherence. A logistic regression model was used to evaluate the association between glycemic control and medication adherence with QOl. Results: Overall QOL scores in adults and children were 33.4 ± 7.1 based on Short-Form-12 and 76.2 ± 17.8 based on PedsQL, respectively. It was demonstrated that adults with Moderate/High adherence had higher QOL (p-value = 0.007). Likewise, Children with good glycemic control had higher psychosocial health scores (0.048). Logistic regression analysis did not reveal a significant association between adherence and QOL or Glycemic control and QOL in both adjusted and crude models. Conclusion: Better glycemic control and medication adherence in children and adults, respectively, are related to the psychological aspects of QOL. We suggest that emotional intelligence, which is replaced by other predictors during adulthood, may contribute to glycemic control in children in the early years following diagnosis.