Remote intensive management to improve antiplatelet adherence in acute myocardial infarction: a secondary analysis of the randomized controlled IMMACULATE trial.

This study aim to investigate if remote intensive coaching for the first 6 months post-AMI will improve adherence to the twice-a-day antiplatelet medication, ticagrelor. Between July 8, 2015, to March 29, 2019, AMI patients were randomly assigned to remote intensive management (RIM) or standard care (SC). RIM participants underwent 6 months of weekly then two-weekly consultations to review medication side effects and medication adherence coaching by a centralized nurse practitioner team, whereas SC participants received usual cardiologist face-to-face consultations. Adherence to ticagrelor were determined using pill counting and serial platelet reactivity measurements for 12 months. A total of 149 (49.5%) of participants were randomized to RIM and 152 (50.5%) to SC. Adherence to ticagrelor was similar between RIM and SC group at 1 month (94.4 ± 0.7% vs. 93.6±14.7%, p = 0.537), 6 months (91.0±14.6% vs. 90.6±14.8%, p = 0.832) and 12 months (87.4±17.0% vs. 89.8±12.5%, p = 0.688). There was also no significant difference in platelet reactivity between the RIM and SC groups at 1 month (251AU*min [212-328] vs. 267AU*min [208-351], p = 0.399), 6 months (239AU*min [165-308] vs. 235AU*min [171-346], p = 0.610) and 12 months (249AU*min [177-432] vs. 259AU*min [182-360], p = 0.678). Sensitivity analysis did not demonstrate any association of ticagrelor adherence with bleeding events and major adverse cardiovascular events. RIM, comprising 6 months of intensive coaching by nurse practitioners, did not improve adherence to the twice-a-day medication ticagrelor compared with SC among patients with AMI. A gradual decline in ticagrelor adherence over 12 months was observed despite 6 months of intensive coaching.

Predictors of Treatment Adherence and Virological Failure Among People Living with HIV Receiving Antiretroviral Therapy in a South African Rural Community: A Sub-study of the ITREMA Randomised Clinical Trial.

A large proportion of people living with HIV (PLHIV) in sub-Saharan Africa reside in rural areas. Knowledge of enablers and barriers of adherence to antiretroviral treatment (ART) in these populations is limited. We conducted a cohort study of 501 adult PLHIV on ART at a rural South African treatment facility as a sub-study of a clinical trial (ClinicalTrials.gov NCT03357588). Socio-economic, psychosocial and behavioral characteristics were assessed as covariates of self-reported adherence difficulties, suboptimal pill count adherence and virological failure during 96 weeks of follow-up. Male gender was an independent risk factor for all outcomes. Food insecurity was associated with virological failure in males. Depressive symptoms were independently associated with virological failure in both males and females. Household income and task-oriented coping score were protective against suboptimal pill-count adherence. These results underscore the impact of low household income, food insecurity and depression on outcomes of ART in rural settings and confirm other previously described risk factors. Recognition of these factors and targeted adherence support strategies may improve patient health and treatment outcomes.

Measuring ART Adherence Among Young Adults with Perinatally Acquired HIV: Comparison Between Self-report, Telephone-Based Pill Count, and Objective Pharmacologic Measures.

Tenofovir diphosphate (TVF-DP) can be quantified in red blood cells (RBCs) and dried blood spots (DBS) and can objectively measure ART adherence and predict viral suppression. Data on the association of TFV-DP with viral load are very limited in adolescents and young adults (AYA) living with perinatally-acquired HIV (PHIV), as are data comparing TFV-DP to other measures of ART adherence, such as self-report and unannounced telephone pill count. Viral load and ART adherence (self-report, TFV-DP and unannounced telephone pill count) were assessed and compared among 61 AYAPHIV recruited from an ongoing longitudinal study (CASAH) in New York City.

Pill Counting as an Intervention to Enhance Compliance and Reduce Adverse Outcomes with Analgesics Prescribed for Chronic Pain Conditions: A Systematic Review.

PURPOSE OF REVIEW: Appropriate use of opioid analgesics is a key concern within the field of pain medicine. Several methods exist to discourage abuse and facilitate effective treatment regimens. Pill counting is often cited as one such method and frequently employed in varying fashions within clinical practice. However, to date, there is no published review of the evidence to support this practice. This was a comprehensive review of the available literature that was conducted with analysis of the efficacy and practical application of pill counting during treatment of chronic pain conditions. RECENT FINDINGS: There is paucity in data regarding pill count importance in pain management. Pill count is a very important tool to monitor compliance of opioids use which in turn can prevent several complications associated with opioid misuse. Pill counting may be used in conjunction with other abuse deterrents, although increased support for this practice requires standardized methods of pill counting and further analysis of its effectiveness.

Medication adherence in older people with rheumatoid arthritis is lower according to electronic monitoring than according to pill count.

OBJECTIVES: Suboptimal medication adherence is a serious problem in the treatment of chronic inflammatory diseases. To measure medication adherence, electronic monitoring is regarded as superior to pill count. GLORIA is an ongoing two-year trial on the addition of low-dose (5 mg/d) prednisolone or placebo to standard care in older people (65+ years) with RA. During the entire trial, adherence is measured with electronic caps, and with pill counts. The objective is to describe medication adherence patterns, and to compare the adherence results of the two methods. METHODS: The recorded adherence patterns of patients (blinded for treatment group) were classified according to descriptive categories. The cutoff for good adherence was set at 80% of prescribed pills taken. RESULTS: Trial inclusion closed in 2018 at 451 patients, but trial follow-up is ongoing; the current dataset contains adherence data of 371 patients. Mean number of recorded 90-day periods per patient was 4 (range 1-8). Based on pill count over all periods, 90% of the patients had good adherence; based on cap data, only 20%. Cap data classified 30% of patients as non-user (<20% of days an opening) and 40% as irregular user (different adherence patterns, in or between periods). CONCLUSION: In our trial of older people with RA, the majority appeared to be adherent to medication according to pill count. Results from caps conflicted with those of pill counts, with patterns suggesting patients did not use the bottle for daily dispensing, despite specific advice to do so. TRIAL REGISTRATION: NCT02585258. ClinicalTrials.gov (https://www.clinicaltrials.gov/).

Moving Antiretroviral Adherence Assessments to the Modern Era: Correlations Among Three Novel Measures of Adherence.

There is no gold standard for estimating antiretroviral therapy (ART) adherence. Feasible, acceptable, and objective measures that are cost- and time-effective are needed. US adults (N = 93) on ART for ≥ 3 months, having access to a mobile phone and internet, and willing to mail in self-collected hair samples, were recruited into a pilot study of remote adherence data collection methods. We examined the correlation of self-reported adherence and three objective remotely collected adherence measures: text-messaged photographs of pharmacy refill dates for pharmacy-refill-based adherence, text-messaged photographs of pills for pill-count-based adherence, and assays of home-collected hair samples for pharmacologic-based adherence. All measures were positively correlated. The strongest correlation was between pill-count- and pharmacy-refill-based adherence (r = 0.68; p < 0.001), and the weakest correlation was between self-reported adherence and hair drug concentrations (r = 0.14, p = 0.34). The three measures provide objective adherence data, are easy to collect, and are viable candidates for future HIV treatment and prevention research.

Long-term adherence to antiretroviral therapy in a South African adult patient cohort: a retrospective study.

BACKGROUND: South Africa has the highest HIV prevalence and supports the largest antiretroviral therapy (ART) programme globally. With the introduction of a test and treat policy, ensuring long term optimal adherence to ART (≥95%) is essential for successful patient and public health outcomes. The aim of this study was to assess long-term ART adherence to inform best practices for chronic HIV care. METHOD: Long-term ART adherence was retrospectively analysed over a median duration of 5 years (interquartile range [IQR]: 5.3-6.5) in patients initially enrolled in a randomised controlled trial assessing tuberculosis and HIV treatment integration and subsequently followed post-trial in an observational cohort study in Durban, South Africa. The association between baseline patient characteristics and adherence over time was estimated using generalized estimating equations (GEE). Adherence was assessed using pharmacy pill counts conducted at each study visit and compared to 6 monthly viral load measurements. A Kaplan Meier survival analysis was used to estimate time to treatment failure. The McNemar test (with exact p-values) was used to determine the effect of pill burden and concurrent ART and tuberculosis treatment on adherence. RESULTS: Of the 270 patients included in the analysis; 54.8% were female, median age was 34 years (IQR:29-40) and median time on ART was 70 months (IQR = 64-78). Mean adherence was ≥95% for each year on ART. Stable patients provided with an extended 3-month ART supply maintained adherence > 99%. At study end, 96 and 94% of patients were optimally adherent and virologically suppressed, respectively. Time since ART initiation, female gender and primary breadwinner status were significantly associated with ≥95% adherence to ART. The cumulative probability of treatment failure was 10.7% at 5 years after ART initiation. Concurrent ART and tuberculosis treatment, or switching to a second line ART regimen with higher pill burden, did not impair ART adherence. CONCLUSION: Optimal long-term adherence with successful treatment outcomes are possible within a structured ART programme with close adherence monitoring. This adherence support approach is relevant to a resource limited setting adopting a test and treat strategy.

Compliance with iron folic acid and associated factors among pregnant women through pill count in Hawassa city, South Ethiopia: a community based cross-sectional study.

BACKGROUND: Iron deficiency anemia during pregnancy is a public health problem across the globe that adversely affects maternal and perinatal outcome. World Health Organization recommends that universal iron folic acid supplementation of pregnant women. Therefore, the aim of this study was to determine compliance and identify factors associated with Iron folic acid among pregnant women. METHODS: Community based cross-sectional study was conducted from November 01-December 30, 2015 on pregnant women from Hawassa city. An Interviewer administered questionnaire was used to collect data from 422 selected study subjects using simple random sampling technique. Data were entered in to Epi-Data version 3.1 and exported to SPSS version 20 for analysis. Bivariate and multivariable analyses were employed to test presence of association between dependent and independent variables. P value < 0.05 was considered as statistically significant. RESULT: In this study prevalence of compliance with iron folic acid was reported 38.3% (95%CI: 33.1, 42.5). Women who know the importance of iron folic acid had 6 times higher odds of compliance with iron folic acid than counterpart (AOR = 6.1, 95% CI: 3.53, 10.24).Pregnant women who develop complication during the previous pregnancy had 0.34 times lower odds of compliance with counterpart (AOR = 0.34, 95% CI: 0.16-0.76), experiencing iron folic acid related side effects during the previous pregnancy had 8.5 time higher odds to decrease compliance with than those did not experience iron folic acid related side effects (AOR = 8.5, 95% CI: 4.65.-15.35). CONCLUSION: In this study demonstrated that compliance with iron folic acid among pregnant women through pill count is low. Women who know the importance of iron folic acid, women who develop complications during previous pregnancy, experiencing iron folic acid related side effects during the previous pregnancy were independent predictor of compliance with iron folic acid. Health care providers shall strongly counsel the importance and side effect of iron folic acid before prescribing. The responsible bodies avail suitable iron folic acid pill and less side effect brands. Health care providers and health extension workers shall be monitored iron folic acid by pill count during their home to home visits.

Correlation of Adherence by Pill Count, Self-report, MEMS and Plasma Drug Levels to Treatment Response Among Women Receiving ARV Therapy for PMTCT in Kenya.

Success of antiretroviral therapy depends on adherence to effective treatment. We evaluated four adherence methods and their correlation with immunological and virologic response among women receiving PMTCT. Univariable and multivariable analyses were used to assess how adherence by pill count (n = 463), self-report (n = 463), MEMS (n = 129) and plasma drug level (n = 89) was associated with viral load suppression within a 6 months period. Longitudinal analysis was performed to determine the correlation of CD4 cell count with each measure of adherence. For all measures of adherence, sustained viral suppression was less likely for participants in the lowest category of adherence. Although CD4 cell count increased substantially over time, there was no significant association with adherence by the methods. Multiple strategies can be used successfully to monitor treatment adherence. Persons with ≥95% adherence by any method used in this study were more likely to have a favorable treatment outcome.

A scoping review of studies comparing the medication event monitoring system (MEMS) with alternative methods for measuring medication adherence.

Different methods are available for measuring medication adherence. In this paper, we conducted a scoping review to identify and summarize evidence of all studies comparing the Medication Event Monitoring System (MEMS) with alternative methods for measuring medication adherence. A literature search was performed using the open database www.iAdherence.org that includes all original studies reporting findings from the MEMS. Papers comparing methods for measuring adherence to solid oral formulations were included. Data was extracted using a standardized extraction table. A total of 117 articles fulfilled the inclusion criteria, including 251 comparisons. Most frequent comparisons were against self-report (n = 119) and pill count (n = 59). Similar outcome measures were used in 210 comparisons (84%), among which 78 used dichotomous variables (adherent or not) and 132 used continuous measures (adherence expressed as percentage). Furthermore, 32% of all comparisons did not estimate adherence over the same coverage period and 44% of all comparisons did not use a statistical method or used a suboptimal one. Only eighty-seven (35%) comparisons had similar coverage periods, similar outcome measures and optimal statistical methods. Compared to MEMS, median adherence was grossly overestimated by 17% using self-report, by 8% using pill count and by 6% using rating. In conclusion, among all comparisons of MEMS versus alternative methods for measuring adherence, only a few used adequate comparisons in terms of outcome measures, coverage periods and statistical method. Researchers should therefore use stronger methodological frameworks when comparing measurement methods and be aware that non-electronic measures could lead to overestimation of medication adherence.

Sharing of Investigational Drug Among Participants in the Voice Trial.

Product sharing among participants can impact on adherence and compromise the outcome in clinical trials. We describe incidents of product sharing at the Durban clinical research sites conducting the VOICE trial. The Durban sites enrolled 2750 women with 1103 and 1647 participants randomized to the vaginal gel and oral tablet arms respectively. Monthly pill and applicator counts including product assessments were conducted by pharmacists. Discrepancies with product counts prompted discussions with participants. Thirty-two cases of product sharing were identified. Vaginal gels were more commonly shared than oral tablets. Product sharing between study participants and their female friends or relatives living in the same household was identified as the most common source of product sharing in this analysis. Study product counts and pharmacist-driven discussions with participants may help to identify reasons for product sharing and inform the development of strategies for PrEP implementation outside of the research setting. ClinicalTrials.gov number: NCT00705679.

Adherence to statin therapy in patients with type 2 diabetes: An important dilemma.

BACKGROUND: Despite the importance of patients' adherence to their drug treatments for achieving desired therapeutic goals and the proven role 3-hydroxy-3-methylglutaryl coenzyme A inhibitors (statins) for the health status of patients with cardiovascular diseases, there is not enough information regarding diabetic patients' adherence to statin therapy in developing countries. In this clinical study we aimed to assess the adherence of diabetes type 2 patients to statin therapy in a research based community clinic in Iran. MATERIALS AND METHODS: In this prospective clinical study which was done at Isfahan Endocrinology and Metabolism Research Center, 204 diabetic type 2 patients under treatment with statin were interviewed twice and their demographic data (age, gender, body mass index, education), statin information (type, dose) and their serum lipid profile were recorded. Three months after the initial visits, patients were assessed using pill counting method and according to patients' self-reporting and also assessed low-density lipoprotein (LDL) cholesterol goal attainment <100 mg/dl. RESULTS: Adherence rate was 79.7% and 69% according to pill counting and self-reporting among study population. Moreover, 68.4% of patients achieved their LDL cholesterol goal of <100 mg/dl and adherent patients reached therapeutic goal significantly more than those who were considered non-adherence to statin therapy (P < 0.01). CONCLUSION: Adherence to statin therapy, as reflected by pill count method, is significantly related to LDL cholesterol goal achievement in patients with diabetes and dyslipidemia. Pill count method can be used to identify patients who are nonadherent to statin therapy and at high risk for failure to attain LDL cholesterol goals.

Validation of an Announced Telephone Pill Count Compared to a Home-Visit Pill Count in People With Type 2 Diabetes or Cardiovascular Disease.

We aimed to assess the validity of an announced telephone pill count in people with type 2 diabetes or cardiovascular disease by comparing this method to a home-visit pill count. We also assessed whether a second telephone pill count improved accuracy. People aged ≥35 years using oral type 2 diabetes or cardiovascular disease medication were included. Thirty-four participants completed a telephone pill count followed by a home-visit pill count, and a subsample of this population (n = 11) completed a second telephone pill count. Scatterplots were used for a visual representation of the number of pills counted with both methods, intraclass correlation coefficients for agreement, and Bland-Altman plots for absolute differences and outliers. A total of 203 pill counts were conducted. The study population consisted of 53% men, with a mean age of 69.6 (±9.2) years and an average of 6.1 (±2.8) medication prescriptions per participant. Scatterplots showed that pills counted with both methods were mostly scattered around the y = x equation. Agreement between the first telephone pill count and home-visit pill count was high, with intraclass correlation coefficients of 0.96 (medication count level) and 0.98 (individual level). No learning effects were observed in the subsample (n = 11), the intraclass correlation coefficient for the first telephone pill count was 0.88 versus 0.89 for the second telephone pill count. Bland-Altman plots indicated high agreement between the two methods. An announced telephone pill count is considered a valid alternative for a home-visit pill count in people with type 2 diabetes or cardiovascular disease. A single pill count appears sufficient.

Medication Adherence in Tobacco Cessation Clinical Trials.

Adherence is a critical mediator of treatment outcome across health conditions and low rates of adherence undermine success in smoking cessation treatment. This narrative review provides an overview of different techniques that can be used to measure adherence to smoking cessation treatments and outlines strategies to address treatment adherence. Techniques to measure adherence include conducting pill counts, collecting self-reports of adherence, directly observed therapy, biochemical verification methods, and electronic data collection via medication events monitoring systems. Techniques examined for increasing tobacco cessation treatment adherence include counseling, automated adherence calls, feedback from electronic monitors, contingency management and directly observed therapy. Adherence monitoring and optimization should be a standard component of smoking cessation treatment research.

Patient Pill Organization Strategies and Adherence Measured in a Cross-Sectional Study of Hypertension.

Background: The strategies patients use to organize medications (eg, pill dispenser) may be reflected in adherence measured at follow-up. We studied whether medication organization strategies patients use at home are associated with adherence measured using pharmacy-fills, self-report, and pill counts. Design: Secondary analysis of data from a prospective randomized clinical trial. Setting: Eleven US safety-net and community primary care clinics. Patients: Of the 960 enrolled self-identified non-Hispanic Black and White patients prescribed antihypertensive medications, 731 patients reported pill organization strategies and were included. Variable: Patients were asked if they use any of the following medication organization strategies: finish previous refills first; use a pill dispenser; combine same prescriptions; or combine dissimilar prescriptions. Outcomes: Adherence to antihypertensive medications using pill counts (range, 0.0-1.0% of the days covered), pharmacy-fill (proportion of days covered >90%), and self-report (adherent/non-adherent). Results: Of the 731 participants, 38.3% were men, 51.7% were age ≥65, 52.9% self-identified as Black or African American. Of the strategies studied, 51.7% finished previous refills first, 46.5% used a pill dispenser, 38.2% combined same prescriptions and 6.0% combined dissimilar prescriptions. Median (IQR) pill count adherence was 0.65 (0.40-0.87), pharmacy-fill adherence was 75.7%, and self-reported adherence was 63.2%. Those who combined same prescriptions had significantly lower measured pill count adherence than those who did not (0.56 (0.26-0.82) vs 0.70 (0.46-0.90), p<0.01) with no significant difference in pharmacy-fill (78.1% vs 74%, p=0.22) or self-reported adherence (63.0% vs 63.3%, p=0.93). Conclusion: Self-reported medication organization strategies were common. Combining same prescriptions was associated with lower adherence as measured using pill counts but not pharmacy-fills or self-report. Clinicians and researchers should identify the pill organization strategies used by their patients to understand how these strategies may influence measures of patient adherence. Trial Registration: ClinicalTrials.gov NCT03028597; https://clinicaltrials.gov/ct2/show/NCT03028597 (Archived by WebCite at http://www.webcitation.org/72vcZMzAB).

Factors associated with medication adherence among children with rheumatic diseases.

Introduction: Failure to take medications regularly leads to poorer health outcomes. The Pediatric Rheumatology Adherence Questionnaire (PRAQ) is an effective tool for assessing medication adherence in rheumatic patients. Therefore, we aimed to determine the factors associated with poor medication adherence among children with rheumatic diseases. Methods: This was a cross-sectional study. Patients with rheumatic diseases who had taken at least one medication and had been followed up at our pediatric rheumatology clinic were included in the study, together with their caregivers. Patients with poor medication adherence were characterized as those who had taken less than 80% of their prescribed drugs, as determined using the pill count method. The original PRAQ was translated and validated in Thai language and was completed by caregivers and literate patients over age 13 years. Interviewing for additional problems with taking medications was conducted. We performed descriptive and logistic regression analyses. Results: From 210 patients, 52.86% had juvenile idiopathic arthritis (JIA), and 46.19% had connective tissue diseases. The mean patient age was 14.10 ± 4.74 years, with a median (interquartile range) disease duration of 4.33 (2.08-6.98) years. PRAQ scores in the group with poor adherence were significantly higher than scores in the group with good adherence (11.00 ± 3.47 vs. 9.51 ± 3.16, p = 0.004). Enthesitis-related arthritis (ERA) (odds ratio [OR] 9.09, 95% confidence interval [CI] 1.25-66.18; p = 0.029) and polyarticular JIA (OR 6.43, 95% CI 1.30-31.75; p = 0.022) were associated with poor treatment adherence. Disease duration ≥5 years (OR 3.88, 95% CI 1.17-12.87; p = 0.027), active disease (OR 6.49, 95% CI 1.76-23.99; p = 0.005), PRAQ scores ≥12 (OR 6.48, 95% CI 1.76-23.82; p = 0.005), forgetting to take medications (OR 14.18, 95% CI 4.21-47.73; p < 0.001), and unawareness about the importance of the medicines (OR 44.18, 95% CI 11.30-172.73; p < 0.001) were predictors of poor drug adherence. Conclusion: In the present study, poor medication adherence was found in one-fourth of children with rheumatic illnesses, particularly those with ERA, polyarticular JIA, longer disease duration, active disease, and high PRAQ scores. The most frequent reasons for inadequate medication adherence were forgetfulness and unawareness about the importance of disease control and consistency with treatment.

Association of adherence measured by self-reported pill count with achieved blood pressure level in hypertension patients: a cross-sectional study.

BACKGROUND: Medication adherence plays an essential role in controlling blood pressure to reduce morbidity and mortality of hypertension disease. Thus, this study aimed to determine the association of medication adherence measured by self-reported pill count with blood pressure levels among patients at several community health centers in Surabaya. METHODS: Adherence was assessed using the pill count method by comparing the total number of antihypertension drugs taken with the prescribed drugs. The inclusion criteria involved hypertensive patients who received antihypertension drugs, specifically adults and elderly, except the pregnant woman. The patient blood pressure was measured by healthcare workers in the targeted community health centers. Descriptive and multivariable logistic regression analyses were performed to assess factors associated with medication adherence with blood pressure levels. RESULTS: A total of 264 hypertensive outpatients participating in this study, 77.65% of participants were adherent to antihypertensive drugs based on the pill count method, and 40.91% of participants had controlled blood pressure. Patients with uncontrolled blood pressure were about six times (adjusted odds ratio [AOR]: 6.15; 95% confidence interval [CI]: 2.694-14.039; P = 0.000) more likely to have non-adherent medication than patients with controlled blood pressure. Reciprocally, non-adherent participants (pill count < 80%) were about six times (AOR: 6.081; 95% CI: 2.672-13.838; P = 0.000) more likely to have uncontrolled blood pressure compared to adherent patients (pill count ≥ 80%). Age less than 40 years old (AOR: 5.814; 95% CI: 1.519-22.252; P = 0.01) and having middle school educational level (AOR: 0.387; 95% CI: 0.153-0.974; P = 0.045) were found to be independent factors associated with uncontrolled blood pressure. CONCLUSIONS: The result showed that non-adherence to antihypertension drugs is associated with uncontrolled blood pressure. Then, age could be associated with uncontrolled blood pressure. Thus, pharmacists and other healthcare providers should pay attention to improving medication adherence and maintaining the controlled blood pressure.

Pill Counting in the Determination of Factors Affecting Medication Adherence in Patients with Type 2 Diabetes: A Retrospective Observational Study.

INTRODUCTION: For medication adherence, pill counting has higher accuracy in objective assessment. However, previous reports have shown that factors such as psychological bias and other people's involvement in managing and helping patients take their medications may influence the outcomes. In Japan, all prescription medicines of patients are checked by medical reconciliation, and a pill count is performed during hospitalization. This study investigated factors affecting the medication adherence of patients with type 2 diabetes mellitus (T2DM), including patient- and medication-related factors, by pill counting using medical reconciliation in a situation where the patient's psychological bias is low. METHODS: This study included 103 patients with T2DM who had been treated with oral hypoglycemic agents (OHAs) for at least 24 weeks. Patients whose OHAs were managed by another person were excluded. We calculated medication adherence values (MAVs) according to the following formula: MAV = (total prescription days - prescription days of OHAs brought when admitted)/(days from the start of OHAs to hospitalization). The relationship between MAVs and patient- and medication-related factors was analyzed. RESULTS: On multiple linear regression analysis of patient-related factors with P < 0.10 in the univariate analysis as explanatory variables, a lower number of chronic diseases (ß = 0.017; P < 0.001) and higher number of OHAs (ß = - 0.021; P = 0.04) were independent factors for lower MAV. Medication-related factors were not found to be independent factors. CONCLUSIONS: Our findings suggest that poor adherence was independently associated with lower number of chronic diseases and higher number of OHAs in patients with T2DM.

Simultaneous Use of Two Different Tools to Assess Compliance with Antiepileptic Drugs: Experience in A Community-Based Study.

Objective Antiepileptic drug (AED) therapy remains the primary form of treatment for epilepsy, noncompliance to which can result in breakthrough seizure, emergency department visits, fractures, head injuries, and increased mortality. Various tools like self-report measures, pill-counts, medication refills, and frequency of seizures can assess compliance with varying extent. Thus, assessment of compliance with AEDs is crucial to be studied. Materials and Methods Compliance was assessed using pill-count and Morisky medication adherence scale (MMAS) during home visits. A pill-count (pills dispensed-pills remaining)/(pills to be consumed between two visits) value of 0.85 to ≤1.15 was recorded as appropriate compliance. Underdose (<0.85) and overdose (>1.15) was labeled as noncompliance. Score of 1 was given to each positive answer in MMAS. Score of ≥1 was labeled as noncompliance. Statistical analysis: Relationship of demographic factors between compliant and noncompliant patients was analyzed using Chi-square test (SPSS version 21.0, IBM). Rest of the data was analyzed with the help of descriptive statistics using Microsoft Excel. p < 0.05 was considered statistically significant. Results Out of 105 patients, 54 patients were noncompliant with both pill-count and MMAS. 10 patients were noncompliant with pill-count only, while 10 were noncompliant with MMAS. Conclusion Both tools complement each other when used in combination, as use of a single tool was not able to completely detect compliance.

Comparison of Different Adherence Measures in Adolescent Outpatients with Depressive Disorder.

PURPOSE: Adolescent depression can have a chronic course; hence, the importance of adherence to antidepressant medication for successful treatment outcomes is emphasized. This study aimed to examine different adherence measures and identify clinical factors that influence adherence in adolescent depression. PATIENTS AND METHODS: A prospective study was conducted for patients diagnosed with depressive disorder according to the Diagnostic and Statistical Manual of Mental Disorder, Fourth Edition from outpatient psychiatric settings at Korea University Medical Center, Guro Hospital. Patient demographics were obtained from a questionnaire, interview, and review of chart records. Adherence was assessed by four methods (Medication Event Monitoring System [MEMS], pill count, clinical rating scale, and patient's self-report). The Toronto Side Effect Scale was used to evaluate side effects, and specific depressive symptoms were assessed using the Hamilton Rating Scale for Depression and Childhood Depression Inventory-Korean version. The Multidimensional Scale of Perceived Social Support was administered to analyze social support, and the Parenting Stress Index-Short Form was used to evaluate parental stress levels. We used concordance correlation analysis to evaluate the relationship among the four adherence measures and the relationship between adherence level and clinical factors. RESULTS: Overall, the study enrolled 48 outpatients (mean age 16.33±1.93 years). The mean duration of illness was 1.27±2.17 years. Adherence rates for MEMS, clinician rating scale, pill count, and self-report after conversion to dichotomous measures were 67.5%, 48.9%, 60.0%, and 56.3%, respectively. Only the duration of illness remained significantly correlated with MEMS (r = 0.510, p =0.001). CONCLUSION: Pill count exhibited a higher degree of agreement with MEMS adherence than the other two adherence measures, possibly indicating that pill count may be a considerably reliable measure of adherence. Furthermore, MEMS adherence was positively correlated with disease duration, suggesting that the longer the duration of illness, the higher the adherence.