Rate of non-adherence prior to upward dose titration in previously stable antidepressant users

Estimating medication adherence from Electronic Health Records: comparing methods for mining and processing asthma treatment prescriptions

BACKGROUND

Medication adherence is usually defined as the extent of the agreement between the medication regimen agreed to by patients with their healthcare provider and the real-world implementation. Proactive identification of those with poor adherence may be useful to identify those with poor disease control and offers the opportunity for ameliorative action. Adherence can be estimated from Electronic Health Records (EHRs) by comparing medication dispensing records to the prescribed regimen. Several methods have been developed in the literature to infer adherence from EHRs, however there is no clear consensus on what should be considered the gold standard in each use case. Our objectives were to critically evaluate different measures of medication adherence in a large longitudinal Scottish EHR dataset. We used asthma, a chronic condition with high prevalence and high rates of non-adherence, as a case study.

METHODS

Over 1.6 million asthma controllers were prescribed for our cohort of 91,334 individuals, between January 2009 and March 2017. Eight adherence measures were calculated, and different approaches to estimating the amount of medication supply available at any time were compared.

RESULTS

Estimates from different measures of adherence varied substantially. Three of the main drivers of the differences between adherence measures were the expected duration (if taken as in accordance with the dose directions), whether there was overlapping supply between prescriptions, and whether treatment had been discontinued. However, there are also wider, study-related, factors which are crucial to consider when comparing the adherence measures.

CONCLUSIONS

We evaluated the limitations of various medication adherence measures, and highlight key considerations about the underlying data, condition, and population to guide researchers choose appropriate adherence measures. This guidance will enable researchers to make more informed decisions about the methodology they employ, ensuring that adherence is captured in the most meaningful way for their particular application needs.

Non-Adherence to Antidepressant Treatment and Related Factors in a Region of Spain: A Population-Based Registry Study

Antidepressants are a commonly prescribed psychotropic medication, and their use has increased in recent years. Medication non-adherence in patients with mental disorders is associated with worse health outcomes. A population-based registry study to assess antidepressant non-adherence during 2021 has been carried out. An indirect method based on the medication possession ratio (MPR) has been utilized. Patients with a MPR under 80% were classified as non-adherent. A multivariate logistic regression to identify non-adherence predictors has been used, considering sociodemographic (age, sex, institutionalization and urbanicity) and health related variables (diagnostics, antidepressant class, multiple prescribers, and polypharmacy). In 2021, 10.6% of the Castile and Leon population used antidepressants. These patients were institutionalized (7.29%), living in urban areas (63.44%), polymedicated with multiple prescribers (57.07%), and using serotonin selective reuptake inhibitors (SSRIs) (54.77%), other antidepressants (46.82%) or tricyclic antidepressants (TCAs) (13.76%). Antidepressants were prescribed mainly for depression (36.73%) and anxiety (29.24%). Non-adherence to antidepressants was more frequent in men (20.56%) than in woman (19.59%) and decreased with increasing age (32% up to 17 years old vs. 13.76% over 80 years old). TCAs were associated with the highest prevalence of non-adherence (23.99%), followed by SSRIs (20.19%) and other antidepressants (18.5%). Predictors of non-adherence in patients on antidepressants were: living in urban areas, using TCAs, and pain occurrence. Non-adherence to antidepressants decreases with aging. Being female, institutionalization, being polymedicated and having depression/anxiety alongside another psychiatric diagnosis are protective factors against non-adherence. The MPR is a robust indicator for the clinician to identify non-adherent patients for monitoring, and adopt any necessary corrective actions.

Measuring and reporting treatment adherence: What can we learn by comparing two respiratory conditions?

Medication non-adherence, defined as any deviation from the regimen recommended by their healthcare provider, can increase morbidity, mortality and side effects, while reducing effectiveness. Through studying two respiratory conditions, asthma and tuberculosis (TB), we thoroughly review the current understanding of the measurement and reporting of medication adherence. In this paper, we identify major methodological issues in the standard ways that adherence has been conceptualised, defined and studied in asthma and TB. Between and within the two diseases there are substantial variations in adherence reporting, linked to differences in dosing intervals and treatment duration. Critically, the communicable nature of TB has resulted in dose-by-dose monitoring becoming a recommended treatment standard. Through the lens of these similarities and contrasts, we highlight contemporary shortcomings in the generalised conceptualisation of medication adherence. Furthermore, we outline elements in which knowledge could be directly transferred from one condition to the other, such as the application of large-scale cost-effective monitoring methods in TB to resource-poor settings in asthma. To develop a more robust evidence-based approach, we recommend the use of standard taxonomies detailed in the ABC taxonomy when measuring and discussing adherence. Regimen and intervention development and use should be based on sufficient evidence of the commonality and type of adherence behaviours displayed by patients with the relevant condition. A systematic approach to the measurement and reporting of adherence could improve the value and generalisability of research across all health conditions.

Psycho-demographic and clinical predictors of medication adherence in patients with bipolar I disorder in a university hospital in Egypt

BACKGROUND

Poor adherence to treatment is one of the main challenges to symptom control and preventing recurrence in bipolar disorder (BD). Numerous studies have established an association between patients' poor adherence and an increased risk of recurrence, relapse of the symptoms and admission to hospital.

AIM

To study the socio-demographic and clinical factors associated with medication nonadherence in patients with BD who were admitted to the hospital.

SETTING

The study was conducted at the Institute of Psychiatry, Ain Shams University.

METHODS

A 1-year longitudinal prospective study of 110 patients, aged 18-60 years, with BD-I. Young Mania Rating Scale, Clinical Global Impression, Global Assessment of Functioning, Sheehan Disability Scale and Insight and Treatment Attitude Questionnaire were applied before and 6 months after discharge. Adherence was measured using the Morisky 8-Item Medication Adherence Scale. Sociodemographic data and level of functioning were studied in relation to adherence.

RESULTS

Higher adherence was noticed in female, married and older patients and those with a higher level of education. However, low adherence was more common in male, non-married and less educated patients. Follow-up after 6 months revealed that the high adherence group scored the lowest in terms of disability. Meanwhile, the low adherence group scored the highest scores in disability.

CONCLUSION

Several socio-demographic and clinical variables were found to be associated with a low adherence rate to the prescribed medication in patients with BD-I. Age and impaired insight were found to be significant predictive factors for non-adherence.

Patterns of persistence with pharmacological treatment among patients with current depressive episode and their impact on long-term outcome: a naturalistic study with 5-year follow-up

BACKGROUND

The aim of the study was to describe and compare the patterns of medication persistence among patients with unipolar depression (UD) or bipolar depression in a 5-year follow-up, and explore their impact on long-term outcome.

PATIENTS AND METHODS

A total of 333 eligible patients with current major depressive episode were observed and followed up from the first index prescription for 5 years. Lack of persistence or treatment interruption was defined as a gap of at least 2 consecutive months without taking any medication. Time to lack of persistence in the first (TLP1) and the second (TLP2) episode of treatment, number of visits before the first treatment interruption (NV) and number of treatment interruptions (NTI) were measured.

RESULTS

During the 5-year follow-up, nearly 50% of patients experienced at least two times of treatment interruption. Pattern of medication persistence did not significantly differ between UD and bipolar disorder (BD) patients. TLP1 was positively associated with TLP2. Shorter TLP1 predicted a higher possibility of subsequent visits because of recurrence or relapse and more NTI meant a lower likelihood of achieving full remission in the fifth year for both UD and BD patients. For UD patients, shorter TLP1 or less NV predicted a lower chance of achieving remission, while for BD patients, shorter TLP1 meant an earlier subsequent visit and more NTI predicted a lower possibility of achieving remission.

CONCLUSION

Pattern of medication persistence was similar but its impact on the long-term outcome was quite different between UD and BD.

Time to lack of persistence with pharmacological treatment among patients with current depressive episodes: a natural study with 1-year follow-up

INTRODUCTION

Medication nonadherence remains a big challenge for depressive patients. This study aims to assess and compare the medication persistence between unipolar depression (UD) and bipolar depression (BD).

METHODS

A total of 146 UD and 187 BD patients were recruited at their first index prescription. Time to lack of persistence with pharmacological treatment (defined as a gap of at least 60 days without taking any medication) was calculated, and clinical characteristics were collected. Final diagnosis was made at the end of 1-year follow-up.

RESULTS

A total of 101 (69.2%) UD and 126 (67.4%) BD patients discontinued the treatment, with a median duration of 36 days and 27 days, respectively. No significant difference was found between UD and BD in terms of time to lack of persistence with pharmacological treatment. The highest discontinuation rate (>40%) occurred in the first 3 months for both groups of patients. For UD patients, those with a higher risk of suicide (odds ratio [OR] =0.696, P=0.035) or comorbidity of any anxiety disorder (OR =0.159, P<0.001) were less likely to prematurely drop out (drop out within the first 3 months), while those with onset in the summer (OR =4.702, P=0.049) or autumn (OR =7.690, P=0.012) were more likely to prematurely drop out than those with onset in the spring (OR =0.159, P<0.001). For BD patients, being female (OR =2.250, P=0.012) and having a history of spontaneous remission or switch to hypomania (OR =2.470, P=0.004) were risk factors for premature drop out, while hospitalization (OR =0.304, P=0.023) and misdiagnosis as UD (OR =0.283, P<0.001) at the first index prescription were protective factors.

LIMITATION

Conservative definition of nonadherence, low representativeness of sample.

CONCLUSION

Treatment discontinuation was frequently seen in patients with UD or BD, especially in the first 3 months of treatment. In spite of the similar pattern of medication persistence, UD and BD differ from each other in predictors of premature drop out.

[Attitudes towards anti-depressive therapy: acceptance vs. stigmatization]

OBJECTIVE

The current study investigates the attitude towards antidepressant treatment among general public.

METHODS

A total of 234 probands (139 women and 95 men) were asked to complete individually provided questionnaires examining socio-demographic data, psychoeducational levels, as well as personal beliefs concerning antidepressant treatment and levels of present stigmatisation. Three scales were used to quantify stigmatisation levels-"Revised Perceived Devaluation Discrimination Scale"/"Revised Internalized Stigma of Mental Illness Scale"/"Attitudes Toward Mental Health Treatment Scale", "Revised Perceived Devaluation Discrimination Scale".

RESULTS

65 people (27.8 %) reported to have had one or more episodes of depression during their lifetime; 169 people (72.2 %) indicated to have never had any episode of that type before. The words "sickness" and "anxiety" were the terms primarily associated with the word "depression". It was a common belief among interviewees that lonely individuals or those not receiving social support have a higher risk of becoming depressed. We further found that people experience higher levels of internalized stigma when talking about their antidepressant drug-therapy, than the level of perceived stigma would suggest. Opposed to those not indicating depression depressed people indicated that they considered the use of antidepressant medication helpful and a good option, if necessary. Stigma can still be found among those not indicating depression as well as among those with symptoms of depression. Based on the current study we conclude that work in the field of destigmatisation is of great importance.

Factors predicting adherence to antidepressant treatment

PURPOSE OF REVIEW

Poor adherence and discontinuation of treatment are the major challenges of pharmacotherapy among patients with depression. This article reviews the factors predicting adherence to and persistence of antidepressant treatment identified in recent years.

RECENT FINDINGS

Study populations have been extended to subgroups of patients with depression or depressive patients with comorbid medical conditions. Some studies have investigated the issues by analysing medical claims databases. Socio-demographic variables, clinical features of depression, comorbidities, pharmacological factors, attitudes towards antidepressants, previous experiences of antidepressant treatment, patient-professional relationship and genes were found to be common factors. An older age, positive attitudes to antidepressants and previous experiences and vicarious experiences of depression or treatment were found to be factors predicting better adherence or persistence. Conversely, patients in minority groups, those with a low family income, pregnancy, experience of side effects, dissatisfaction with treatment and a poor patient-professional relationship were found to be associated with poorer adherence or persistence.

SUMMARY

The factors predicting adherence and persistence are complex and interactive. Different methods of studies have limitations in terms of exploring all these factors. Future studies should integrate these factors simultaneously and explore specific factors predicting adherence and persistence among subgroups of patients with depression.

Noncontinuous use of antidepressant in adults with major depressive disorders - a retrospective cohort study

BACKGROUND

Noncontinuous antidepressant use is frequently observed in clinical practice despite the standard recommendation of at least 6-9 months of continuous treatment. The problem may be more serious in Chinese populations where stigmatization is common. This retrospective cohort study investigated the rate of noncontinuous antidepressant use and subsequent rate of relapse and recurrence in psychiatric Chinese outpatients by examining the prescription records, electronic medical records, and written medical records. Factors associated with noncontinuous antidepressant use were also identified.

METHODS

We reviewed the medical records of 189 patients newly dispensed with an antidepressant in the psychiatric outpatient clinic during year 2006 and 2007. Primary outcome was the rate of noncontinuous antidepressant use within 6 months of therapy. Secondary outcomes included the factors associated with noncontinuous antidepressant use and the rate of subsequent depression relapse and recurrence within 1 year of starting treatment.

RESULTS

Among the 189 subjects included in this study, 46% were noncontinuous users of the newly prescribed antidepressant therapy. The noncontinuous users were found to have an eightfold increase (OR: 8.42, 95% CI: 3.30-21.47) in the risks of relapse/recurrence depressive episodes within 1 year after treatment initiation. Younger age (P = 0.008), female, (P = 0.029), residency in public housing estate (P = 0.029), experiencing side effects (P = 0.024), infrequent follow-ups (P = 0.006), and earlier onset of diagnosis (P = 0.034) were factors significantly associated with noncontinuous antidepressant use.

CONCLUSIONS

Noncontinuous antidepressant use is common in the local Chinese depressive patients and associated with a high rate of relapse and recurrence. Collaborative multidisciplinary approaches that target patient education and enhancement of follow-up adherence are needed.

Adherence of antidepressants during pregnancy: MEMS compared with three other methods

BACKGROUND

Data about adherence of antidepressants during pregnancy are lacking. However, it is important to gain insight into adherence in this population to reduce perinatal risks for relapse of depression.

OBJECTIVE

The objective of this study was to search for an inexpensive and easy method to implement daily for assessing medication adherence during pregnancy.

METHODS

An observational study was conducted to measure adherence by comparing pill count, Beliefs about Medicine questionnaire (BMQ) and blood level monitoring against the standard, the Medication Event Monitoring System (MEMS). We used a logistic regression model to determine potential predictors for poor adherence (age, marital class, highest level of education, monthly net income, employment, smoking, alcohol use and type of antidepressant).

RESULTS

From January 2010 until January 2012, 41 women were included within the first trimester of pregnancy; data could be evaluated in 29 women. Using MEMS, 86% of the women took in more than 80% of all prescribed doses on time and could be classified as adherent. Pill counts showed good agreement with MEMS. We did not find predictors for poor adherence in our study population.

CONCLUSION

Adherence of antidepressants during pregnancy using MEMS is 86%. There was a good agreement between MEMS and pill counts. This method may serve as a good alternative that can be easily implemented into daily practice.

Mood disorders medications: predictors of nonadherence - review of the current literature

Studies have shown that there are several factors that predict nonadherence among patients with mood disorders. The aim of the present review is to identify the predictors of nonadherence among these patients. A careful review of the literature was conducted investigating several potential predictors of nonadherence among patients with mood disorders. A total of 217 relevant articles from peer-reviewed journals were considered, and articles that met our inclusion criteria (n = 54) were selected for this review. The authors identified several predictors of nonadherence among patients with mood disorders including younger age (below 40 years old), comorbidity with substance use and personality disorders, patients' beliefs, poor insight, illness severity, treatment-related side effects, specific features of the disease and a poor therapeutic alliance. Substance use disorder and illness severity are significant predictors of nonadherence especially in patients with bipolar disorder; whereas, treatment side effects are of primary importance for depressive disorder. The authors could not carry out a meta-analysis given that the studies considered in this review assessed patients at different time points and included different measurements of nonadherence. Moreover, articles cited in this review may reflect the authors' choice, and the authors did not investigate the adherence to a specific class of drugs commonly used in the management of mood disorders. Given the high social, clinical and economic impact of nonadherence among patients who are affected by mood disorders, it is critical to recognize patients at high risk of nonadherence in order to inform future strategies to examine and improve adherence to treatment. Further research is needed to clarify this issue.

Relation of statin nonadherence and treatment intensification

Failure to intensify medication and failure to adhere to medication have been shown to contribute to suboptimal low-density lipoprotein cholesterol goal attainment. To examine whether nonadherence to statins in 126,903 patients on stable statin therapy is associated with subsequent treatment intensification, we conducted a retrospective analysis using an integrated pharmacy and medical claims database. Pharmacy claims were analyzed to determine whether nonadherence, as measured by proportion of days covered on statins <80%, was associated with intensification of statin treatment over a 360-day follow-up. Of 11,361 patients who had treatment intensification, 44% were previously nonadherent to statins. Patients whose treatment was intensified had slightly lower adherence to statin therapy than those without intensification (76% vs 78%, p <0.0001) and were more likely to be nonadherent as defined by proportion of days covered <80% (44% vs 37%, p <0.0001). After controlling for confounding factors, patients nonadherent to statins were 30% more likely to have treatment intensification compared to adherent patients (odds ratio 1.30, 95% confidence interval 1.25 to 1.36). In addition, patients with statin intensification were more likely to be younger, women, and have coronary artery disease, diabetes, hypertension, dyslipidemia, stroke, peripheral arterial disease, heart failure, or depression. Primary care physicians were more likely to escalate therapy than cardiologists. In conclusion, nearly 1/2 of patients with therapy escalation were nonadherent to statins. Clinicians should inquire about adherence and consider adherence before escalating statin therapy.

The association between antidepressant dosage titration and medication adherence among patients with depression

BACKGROUND

To evaluate the association between upward dose titration of antidepressants and medication adherence during the first 6 months of a newly initiated antidepressant treatment for patients with major depressive disorder (MDD).

METHODS

We conducted a retrospective observational cohort study using Thomson Reuters MarketScan Commercial Claims and Encounters Claims data. We identified 40,873 patients aged 18-64 with MDD newly initiating a selective serotonin reuptake inhibitor, serotonin-norepinephrine reuptake inhibitor, or bupropion between July 1, 2005 and June 30, 2007. Patients with titration (defined as antidepressant initiation at doses equal or lesser than American Psychiatric Association treatment guidelines with a dosage increase in the first 60 days of treatment) were compared to patients with no titration. Adherence was measured as the proportion of days covered (PDC) on antidepressant treatment. Patients with PDC ≥ 80% were considered adherent. Persistence was measured as the duration of time from initiation to a 30-day gap in antidepressant treatment. Multivariate logistic regression and Cox-proportional hazard models examined the influence of titration on adherence and persistence, respectively.

RESULTS

Adherence was greater in the titration group than in the nontitration group (67.5% versus 45.2%, P < .01). After adjustment for selected covariates, patients in the titration group were more likely to adhere to antidepressant treatments (odds ratio = 2.60, 95% confidence interval (CI) = 2.47-2.74) and less likely to have a 30-day gap in treatment (hazard ratio = 0.48, 95% CI = 0.45-0.51).

CONCLUSIONS

Upward dose titration on antidepressant treatments was associated with improved medication adherence and persistence. For clinicians initiating antidepressant treatment, titrating antidepressant doses may improve patient outcomes.

Contributions of a relational psychoanalytic approach to dealing with the nonadherent psychiatric patient

Nonadherence to medication is one of the great challenges facing any psychiatrist today. The main focus of this article is to illustrate the contributions of a relational psychoanalytic approach to dealing with the nonadherent psychiatric patient. Special emphasis is given to the importance of recognizing the therapist as an active subject and taking responsibility over the negative aspects of the therapist. A clinical vignette is presented, by which these points are illustrated and defined.