The association of race, comorbid anxiety, and antidepressant adherence among Medicaid enrollees with major depressive disorder

Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review

BACKGROUND

Increasingly, patient medication adherence data are being consolidated from claims databases and electronic health records (EHRs). Such databases offer an indirect avenue to gauge medication adherence in our data-rich healthcare milieu. The surge in data accessibility, coupled with the pressing need for its conversion to actionable insights, has spotlighted data mining, with machine learning (ML) emerging as a pivotal technique. Nonadherence poses heightened health risks and escalates medical costs. This paper elucidates the synergistic interaction between medical database mining for medication adherence and the role of ML in fostering knowledge discovery.

METHODS

We conducted a comprehensive review of EHR applications in the realm of medication adherence, leveraging ML techniques. We expounded on the evolution and structure of medical databases pertinent to medication adherence and harnessed both supervised and unsupervised ML paradigms to delve into adherence and its ramifications.

RESULTS

Our study underscores the applications of medical databases and ML, encompassing both supervised and unsupervised learning, for medication adherence in clinical big data. Databases like SEER and NHANES, often underutilized due to their intricacies, have gained prominence. Employing ML to excavate patient medication logs from these databases facilitates adherence analysis. Such findings are pivotal for clinical decision-making, risk stratification, and scholarly pursuits, aiming to elevate healthcare quality.

CONCLUSION

Advanced data mining in the era of big data has revolutionized medication adherence research, thereby enhancing patient care. Emphasizing bespoke interventions and research could herald transformative shifts in therapeutic modalities.

Examining the Use of Antidepressants for Adolescents with Depression/Anxiety Who Regularly Use Cannabis: A Narrative Review

Depression and anxiety disorders are two of the most common and growing mental health concerns in adolescents. Consequently, antidepressant medication (AD) use has increased widely during the last decades. Several classes of antidepressants are used mainly to treat depression, anxiety, and obsessive-compulsive disorders by targeting relevant brain neurochemical pathways. Almost all randomized clinical trials of antidepressants examined patients with no concomitant medications or drugs. This does not address the expected course of therapy and outcome in cannabis users. Cannabis is the most commonly used illicit substance globally. Substantial changes in its regulation are recently taking place. Many countries and US states are becoming more permissive towards its medical and recreational use. The psychological and physiological effects of cannabis (mainly of its major components, tetrahydrocannabinol (THC) and cannabidiol (CBD)) have been extensively characterized. Cannabis use can be a risk factor for depressive and anxiety symptoms, but some constituents or mixtures may have antidepressant and/or anxiolytic potential. The aim of this literature review is to explore whether simultaneous use of AD and cannabis in adolescence can affect AD treatment outcomes. Based on the current literature, it is reasonable to assume that antidepressants are less effective for adolescents with depression/anxiety who frequently use cannabis. The mechanisms of action of antidepressants and cannabis point to several similarities and conjunctions that merit future investigation regarding the potential effectiveness of antidepressants among adolescents who consume cannabis regularly.

Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis

OBJECTIVES

This systematic review aimed to describe medication non-adherence among people living with multimorbidity according to the current literature, and synthesise predictors of non-adherence in this population.

METHODS

A systematic review was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses. PubMed, EMBASE, CINAHL and PsycINFO were searched for relevant articles published in English language between January 2009 and April 2019. Quantitative studies reporting medication non-adherence and/or predictors of non-adherence among people with two or more chronic conditions were included in the review. A meta-analysis was conducted with a subgroup of studies that used an inclusive definition of multimorbidity to recruit participants, rather than seeking people with specific conditions. Remaining studies reporting prevalence and predictors of non-adherence were narratively synthesised.

RESULTS

The database search produced 10 998 records and a further 75 were identified through other sources. Following full-text screening, 178 studies were included in the review. The range of reported non-adherence differed by measurement method, at 76.5% for self-report, 69.4% for pharmacy data, and 44.1% for electronic monitoring. A meta-analysis was conducted with eight studies (n=8949) that used an inclusive definition of multimorbidity to recruit participants. The pooled prevalence of non-adherence was 42.6% (95% CI: 34.0 - 51.3%, k=8, I²=97%, p<0.01). The overall range of non-adherence was 7.0%-83.5%. Frequently reported correlates of non-adherence included previous non-adherence and treatment-related beliefs.

CONCLUSIONS

The review identified a heterogeneous literature in terms of conditions studied, and definitions and measures of non-adherence used. Results suggest that future attempts to improve adherence among people with multimorbidity should determine for which conditions individuals require most support. The variable levels of medication non-adherence highlight the need for more attention to be paid by healthcare providers to the impact of multimorbidity on chronic disease self-management.

PROSPERO REGISTRATION NUMBER

CRD42019133849.

Antidepressant adherence in United States active duty Army Soldiers: A small descriptive study

While much is known about depression and antidepressant adherence associations with illness perceptions, medication beliefs, social support, and stigma in the general population, there is a dearth of knowledge among United States active duty Army Soldiers. The study objective was to explore antidepressant adherence and correlations between antidepressant adherence and illness perceptions, medication beliefs, social support, stigma and select demographic variables among Army Soldiers with depression. Results indicated age and gender were significantly correlated with and predictive of adherence. Low adherence was found. Findings suggest Soldiers who are younger and those who are female are more likely to report higher levels of adherence.

Finding factors that predict treatment-resistant depression: Results of a cohort study

BACKGROUND

Treatment for depressive disorders often requires subsequent interventions. Patients who do not respond to antidepressants have treatment-resistant depression (TRD). Predicting who will develop TRD may help healthcare providers make more effective treatment decisions. We sought to identify factors that predict TRD in a real-world setting using claims databases.

METHODS

A retrospective cohort study was conducted in a US claims database of adult subjects with newly diagnosed and treated depression with no mania, dementia, and psychosis. The index date was the date of antidepressant dispensing. The outcome was TRD, defined as having at least three distinct antidepressants or one antidepressant and one antipsychotic within 1 year after the index date. Predictors were age, gender, medical conditions, medications, and procedures 1 year before the index date.

RESULTS

Of 230,801 included patients, 10.4% developed TRD within 1 year. TRD patients at baseline were younger; 10.87% were between 18 and 19 years old versus 7.64% in the no-TRD group, risk ratio (RR) = 1.42 (95% confidence interval [CI] 1.37-1.48). TRD patients were more likely to have an anxiety disorder at baseline than non-TRD patients, RR = 1.38 (95% CI 1.35-1.14). At 3.68, fatigue had the highest RR (95% CI 3.18-4.25). TRD patients had substance use disorders, psychiatric conditions, insomnia, and pain more often at baseline than non-TRD patients.

CONCLUSION

Ten percent of subjects newly diagnosed and treated for depression developed TRD within a year. They were younger and suffered more frequently from fatigue, substance use disorders, anxiety, psychiatric conditions, insomnia, and pain than non-TRD patients.

Medication Adherence and Persistence in Patients with Severe Major Depressive Disorder with Psychotic Features: Antidepressant and Second-Generation Antipsychotic Therapy Versus Antidepressant Monotherapy

BACKGROUND

Major depressive disorder with psychotic features, or psychotic depression, is a severe mental health disorder often associated with a worse depression-related symptom profile when compared with major depressive disorder without psychotic features. While combination pharmacotherapy with an antidepressant and an antipsychotic is recommended as first-line therapy, antidepressant monotherapy has been found to be useful and efficacious in psychotic depression.

OBJECTIVE

To assess the rates of antidepressant adherence and antidepressant persistence in Texas Medicaid patients with psychotic depression who used antidepressant plus second-generation antipsychotic (AD/SGA) therapy or antidepressant (AD) monotherapy.

METHODS

Using Texas Medicaid prescription and medical claims data from September 2007 to December 2012, adult patients aged 18-63 years were included if they had no confounding psychiatric disorders, no antidepressant claims during a 6-month pre-index period, and at least 1 diagnosis for severe major depressive disorder with psychotic features (ICD-9-CM codes 296.24 and 296.34). The first claim date for an antidepressant served as the index date. All patients were required to have at least 2 antidepressant claims, and those in the AD/SGA cohort were required to have 2 or more claims for an SGA. Study covariates included age, gender, race/ethnicity, residence, Charlson Comorbidity Index (CCI) score, and tobacco use/dependence. Statistical analyses included descriptive statistics, univariate analyses, logistic regression, and Cox proportional hazards regression.

RESULTS

A total of 926 patients met study criteria (AD cohort = 510; AD/SGA cohort = 416). The overall sample had a mean [±SD] age of 40.5 [±13.2] years and was primarily female (66.8%) and non-Caucasian (74.8%). When compared with the AD cohort, patients in the AD/SGA cohort had a 52.3% higher likelihood of being adherent to antidepressant therapy based on proportion of days covered (PDC; OR = 1.523; 95% CI = 1.129-2.053; P = 0.006). Similarly, antidepressant adherence was 42.0% higher for the AD/SGA cohort based on medication possession ratio (MPR; OR = 1.420; 95% CI = 1.062-1.898; P = 0.018). Younger patients, African Americans, and tobacco users/dependents had significantly worse likelihoods of antidepressant medication adherence based on PDC and MPR. The risk of antidepressant nonpersistence was 23.2% lower for patients in the AD/SGA cohort (HR = 0.768; 95% CI = 0.659-0.896; P = 0.001), compared with those in the AD cohort. Antidepressant nonpersistence was significantly higher in younger patients, African Americans, Hispanics, and tobacco users/dependents.

CONCLUSIONS

Better antidepressant adherence and persistence outcomes were associated with combination pharmacotherapy with an AD and an SGA antipsychotic. This study provides real-world estimates that support the current first-line treatment recommendations for psychotic depression; however, it should be noted that the majority of study patients used AD therapy only. Future research in psychotic depression is needed.

DISCLOSURES

Kim-Romo received funding to conduct this study from the PhRMA Foundation Pre-Doctoral Fellowship in Health Outcomes. Rascati, Richards, Ford, Wilson, and Beretvas declare no conflict of interest in relation to this manuscript. Kim-Romo and Rascati collaborated on the study design, data analysis, study interpretation, and writing of this manuscript. Richards, Ford, Wilson, and Beretvas provided critical evaluation of the study design, analysis, and interpretation, as well as edited this manuscript.

The association between comorbid anxiety disorders and the risk of stroke among patients with diabetes: An 11-year population-based retrospective cohort study

BACKGROUND

Diabetes and anxiety disorders are independent risk factors for stroke. However, it remains unclear whether the risk of stroke is higher among diabetic patients with comorbid anxiety than without comorbid anxiety. Therefore, the purpose of this study was to investigate the association between comorbid anxiety and the risk of stroke among patients with diabetes.

METHODS

This is a retrospective cohort study. We used the National Health Insurance Research Database in Taiwan to identify a diabetes cohort with a new diagnosis of an anxiety disorder but without a history of stroke. The enrollment period was 2001-2006 with up to 11 years of follow-up data. Comorbid anxiety was defined by both a clinical diagnosis of the DSM-IV (ICD-9-CM) and prescriptions for anxiolytic medications. Propensity score matching was performed to balance the selected confounders between the anxiety-exposed group and anxiety non-exposed group. Cox-propositional hazard regression models were used to evaluate the association between comorbid anxiety and the risk of stroke.

RESULTS

Among patients with diabetes (N=40,846), an estimated 5.8% (N=2374) of patients had comorbid anxiety disorders. Diabetic patients with comorbid anxiety were significantly associated with a higher risk of stroke compared to patients without comorbid anxiety (hazard ratio: 1.33, 95% confidence interval: 1.02-1.72).

LIMITATIONS

The severity of anxiety or diabetes could not be measured from the claims data. Residual confounding may still exist.

CONCLUSION

A significantly elevated risk of stroke was observed in association with comorbid anxiety among patients with diabetes. Psychiatrists should consider routine screening for anxiety disorders to prevent a stroke event among patients with diabetes.

ANTIDEPRESSANT ADHERENCE ACROSS DIVERSE POPULATIONS AND HEALTHCARE SETTINGS

BACKGROUND

Early adherence is key to successful depression treatment, but nearly 60% of patients discontinue antidepressants within 3 months. Our study aimed to determine factors associated with poor early adherence to antidepressants in a large diverse sample of patients.

METHODS

Six Mental Health Research Network healthcare systems contributed data for adults with depression and a new antidepressant start, defined by a washout period of at least 270 days, between January 1, 2010 and December 31, 2012. Pharmacy fill and self-reported race/ethnicity data were obtained from the electronic medical record. Patients had early adherence if they had a second antidepressant fill within 180 days of the first. We used logistic regression to investigate the relationship between early adherence and patient characteristics.

RESULTS

A total of 177,469 adult patients had 184,967 new episodes of depression with a filled antidepressant prescription. Patients refilled their antidepressants within 180 days in 71% of episodes. Race/ethnicity was a strong predictor of early adherence, with patients from racial/ethnic minorities other than Native Americans/Alaskan Natives less likely (adjusted odd ratios 0.50-0.59) to refill their antidepressants than non-Hispanic whites. Age, neighborhood education, comorbidity burden, provider type and engagement in psychotherapy were also associated with adherence. Other apparent predictors of early adherence, including neighborhood income, gender, and prior mental health hospitalizations, were no longer significant in the fully adjusted model.

CONCLUSIONS

Race/ethnicity was a robust predictor of early antidepressant adherence, with minority groups other than Native Americans/Alaskan Natives less likely to be adherent. Further research is needed to determine whether early nonadherence in specific minority populations is intentional, due to side effects or patient preference, or unintentional and appropriate for targeted interventions to improve adherence.

Predicting persistence to antidepressant treatment in administrative claims data: Considering the influence of refill delays and prior persistence on other medications

BACKGROUND

Many patients with major depressive disorder (MDD) who begin antidepressant treatment discontinue use before for six months, the recommended minimum treatment length. This study sought to identify predictors of six-month antidepressant persistence including predictors utilizing patients' electronic prescription records.

METHODS

Commercially insured children (3-17 years) and adults (18-64 years) with MDD who initiated antidepressant treatment, 1/1/2003-2/28/2010, were assessed for six-month persistence (based on prescriptions' days supply, allowing a 30-day grace period). Antidepressant persistence prediction models were developed separately for children and adults. Two additional measures, days without medication between the first and second antidepressant fill (children and adults) and prior persistence on other medications (adults only), were added to the models, concordance (c) statistics were compared and risk reclassification evaluated.

RESULTS

Among children (n=8837 children) and adults (n=47,495) with MDD, six-month antidepressant persistence was low and varied by age (37%, 18-24 years to 52%, 3-12 and 50-64 years). Independent baseline predictors of persistence were identified, with model c-statistics: children=0.582, adults=0.584. Patients with more days without medication between fills were less likely to be persistent (10-30 vs. 0 days, children: RR=0.72, adults: RR=0.74), as were adults not previously persistent to other medications (RR=0.73).

LIMITATIONS

The definition of six-month persistence is dependent on correct days supply values and the grace period utilized; potential predictors were limited to measures available in claims data.

CONCLUSIONS

Six-month antidepressant persistence was low and overall prediction of persistence was poor; however, days without medication between fills and prior persistence on other medications marginally improved the ability to predict antidepressant persistence.

Pediatric Inpatient Readmissions in an Accountable Care Organization

OBJECTIVE

To assess the association between the length of consistent primary care as part of an accountable care organization (attribution length) and population-level and same-hospital readmissions. Readmission studies are generally focused on same-hospital readmissions rather than readmissions to any hospital (population-level readmissions).

STUDY DESIGN

A retrospective study of Medicaid claims data for 28,794 unique pediatric patients attributed to a single children's hospital between September 2013 and May 2015. Study used logistic regression to estimate the impact of attribution length on readmissions and a zero-inflated Poisson model to assess the impact of attribution length on readmission cost and readmission days.

RESULTS

The study showed attribution length was associated with a significant reduction in the population-level 30-day readmission rate from 8.9%-6.2% (P = .010) primarily by reducing readmissions that occurred at hospitals other than the discharging hospital. There was no significant reduction in the same-hospital readmission rate. Readmissions to a different hospital occurred in 37% of readmissions. Although not significant at the P = .05 level, attribution length was associated with a 44% reduction (P = .100) in 30-day readmission costs or a 5.0% reduction in the cost of an inpatient episode of care and a 53% reduction (P = .019) in readmission days.

CONCLUSIONS

Consistent primary care (attribution length) may be able to reduce 30-day, pediatric Medicaid patients' readmissions at the population level. The decrease occurred primarily in readmissions to hospitals other than the discharging hospital. There was no decrease in the rate of same-hospital readmissions.

Predictors of medication adherence and persistence in Medicaid enrollees with developmental disabilities and type 2 diabetes

BACKGROUND

The prevalence of diabetes mellitus is high among patients with developmental disabilities (cerebral palsy, autism, Down's syndrome and cognitive disabilities).

OBJECTIVES

The purpose of this study was to examine the racial health disparities in medication adherence and medication persistence in developmentally disabled adults with type 2 diabetes enrolled in Medicaid.

METHODS

This was a retrospective cohort study using the MarketScan(®) Multi-State Medicaid Database. Adults aged 18-64 years with a prior diagnosis of a developmental disability (cerebral palsy/autism/down's/cognitive disabilities) and a new diagnosis of type 2 diabetes enrolled in Medicaid from January 1, 2004 and December 31, 2006, were included. Adults were included if they had a continuous enrollment for at least 12 months and were excluded if they were dual eligible. Anti-diabetes medication adherence and diabetes medication persistence were measured using multivariate logistic regression and the Cox-proportional hazard regression, respectively.

RESULTS

The study population comprised of 1529 patients. Although overall diabetes medication adherence in this population was optimal, African Americans had significantly lower odds (25%) of adhering to anti-diabetes medications compared to Caucasians (OR = 0.75, 95% CI = 0.58-0.97, P < 0.05). Also, after controlling for other covariates, the rate of discontinuation was higher in African Americans compared to Caucasians (hazard ratio = 1.03, 95% CI = 0.91-1.18, P < 0.629).

CONCLUSION

In this study, racial disparities were found in anti-diabetes medication adherence among Medicaid enrollees with developmental disabilities (DD). Studies conducted in the future should examine predictors that impact access to care, availability of primary and specialized care, social support as well as beliefs of racial minority populations with developmental disabilities and chronic conditions like diabetes to optimize medication use outcomes in this especially vulnerable population.

Racial differences in adherence and response to combined treatment for full and subthreshold post-traumatic stress disorder and alcohol use disorders: A secondary analysis

We conducted a secondary data analysis to examine whether there were racial differences in adherence and treatment outcomes for participants with co-occurring full and subthreshold post-traumatic stress disorder (PTSD) and alcohol/substance use disorders (A/SUD) who were treated with Seeking Safety (a cognitive-behavioral therapy) and sertraline or Seeking Safety and placebo as part of a clinical trial. Bivarate analyses examined the association between race and adherence, and generalized estimating equations assessed whether race moderated the effect of combination treatment on PTSD and alcohol use outcomes. Except for education, there were no statistically significant racial differences in baseline demographic and psychiatric characteristics. African Americans and Caucasians were equally adherent in number of psychotherapy and medication sessions attended and medication compliance. After controlling for baseline demographics and psychiatric symptoms, however, a race by treatment condition interaction emerged suggesting that African Americans who received the Seeking Safety and sertraline treatment had significantly lower PTSD symptom severity posttreatment and at six months follow-up compared to their counterparts who received Seeking Safety and placebo. No differential effect of treatment condition was found for Caucasians. Moreover, results indicated that a diagnosis of major depressive disorder negatively impacted PTSD symptom recovery for African American participants but not for Caucasians. In conclusion, no differences emerged between African Americans and Caucasians in adherence to combination treatments for PTSD and A/SUD. Findings also suggest assessment and treatment of MDD among African Americans may improve treatment outcomes. More research is needed to determine whether the differential response to Seeking Safety and sertraline among African Americans compared to Caucasians can be replicated.

Why underserved patients do not consult their general practitioner for depression: results of a qualitative and a quantitative survey at a free outpatient clinic in Paris, France

BACKGROUND

The prevalence of depression in the general population is 5 to 10% but can exceed 50% in the most socially vulnerable populations. The perceptions of this disease are widely described in the literature, but no research has been carried out in France to explain the reasons for not consulting a general practitioner during a depressive episode, particularly in people in the most precarious situations. The objective of this study was to describe the reasons for not seeking primary care during a depressive episode in a socially vulnerable population.

METHODS

An exploratory sequential design with a preliminary qualitative study using a phenomenological approach. Subsequently, themes that emerged from the qualitative analysis were used in a questionnaire administered in a cross-sectional observational study at a free outpatient clinic in Paris in 2010. Lastly, a logistic regression analysis was performed.

RESULTS

The qualitative analysis revealed four aspects that explain the non-consulting of a general practitioner during a depressive episode: the negative perception of treatment, the negative perception of the disease, the importance of the social environment, and the doctor-patient relationship. The quantitative analysis showed that close to 60% of the patients who visited the free clinic were depressed and that only half of them had talked with a care provider. The results of the statistical analysis are in line with those of the qualitative analysis, since the most common reasons for not seeing a general practitioner were the negative perception of the disease (especially among the men and foreigners) and its treatments (more often among the men and French nationals).

CONCLUSIONS

Close to 50% of the depressed individuals did not seek primary care during a depressive episode, and close to 80% of them would have liked their mental health to be discussed more often by a health professional. Better information on depression and its treatments, and more-systematic screening by primary care personnel would improve the treatment of depressed patients, especially those in the most precarious situations.

Health care use amongst online buyers of medications and vitamins

BACKGROUND

With increased use of the internet, more people access medications and health supplements online. However little is known about factors associated with using online buying. Given the variable quality of online pharmacies, an important question is whether online consumers also have health care providers with whom they discuss internet information and decisions.

OBJECTIVES

To help address these gaps this study used the Andersen Model to explore (1) the characteristics of internet buyers of medicines and/vitamins, (2) the association between health care use and buying medicines and/vitamins online drawing on the Andersen health care utilization framework, and (3) factors predicting discussion of internet information with health providers.

METHODS

The National Cancer Institute's Health Information National Trends Survey (HINTS) 2007 was analyzed to study online medication buying among a national sample of internet users (N = 5074). The Andersen Model of health care utilization guided the study's variable selection and analyses. Buying online and talking about online information are the two main outcome variables. Separate multivariate logistic regression analyses identified factors associated with online buying and factors predicting discussions with providers about online information.

RESULTS

In 2007, 14.5% (n = 871) of internet users bought a medication or vitamin online. About 85% of online buyers had a regular provider, but only 39% talked to the provider about online information even though most (93.7%) visited the provider ≥1 times/year. Multivariate analyses found internet health product consumers were more likely to be over 50 years old, have insurance and discuss the internet with their provider than non-internet health product consumers. Moreover, discussion of internet information was more likely if consumers had a regular provider and perceived their communication to be at least fair or good in general.

CONCLUSIONS

There is a clear association of online buying with age, frequency of visits and discussing online information with a provider. Although most online buyers visited a provider in the prior year, only a minority discussed the internet with them. This suggests a missed opportunity for providers to help patients navigate internet buying, particularly if they are a patient's regular provider and the patient perceives their communication as good.

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.

Assessing medication adherence and healthcare utilization and cost patterns among hospital-discharged patients with schizoaffective disorder

BACKGROUND

Hospital-discharged patients with schizoaffective disorder have a high risk of re-hospitalization. However, limited data exist evaluating critical post-discharge periods during which the risk of re-hospitalization is significant.

OBJECTIVE

Among hospital-discharged patients with schizoaffective disorder, we assessed pharmacotherapy adherence and healthcare utilization and costs during sequential 60-day clinical periods before schizoaffective disorder-related hospitalization and post-hospital discharge.

METHODS

From the MarketScan(®) Medicaid database (2004-2008), we identified patients (≥18 years) with a schizoaffective disorder-related inpatient admission. Study measures including medication adherence and healthcare utilization and costs were assessed during sequential preadmission and post-discharge periods. We conducted univariate and multivariable regression analyses to compare schizoaffective disorder-related and all-cause healthcare utilization and costs (in 2010 US dollars) between each adjacent 60-day post-discharge periods. No adjustment was made for multiplicity.

RESULTS

We identified 1,193 hospital-discharged patients with a mean age of 41 years. The mean medication adherence rate was 46% during the 60-day period prior to index inpatient admission, which improved to 80% during the 60-day post-discharge period. Following hospital discharge, schizoaffective disorder-related healthcare costs were significantly greater during the initial 60-day period compared with the 61- to 120-day post-discharge period (mean US$2,370 vs US$1,765; p < 0.001), with rehospitalization (36%) and pharmacy (40%) accounting for over three-fourths of the initial 60-day period costs. Compared with the initial 60-day post-discharge period, both all-cause and schizoaffective disorder-related costs declined during the 61- to 120-day post-discharge period and remained stable for the remaining post-discharge periods (days 121-365).

CONCLUSIONS

We observed considerably lower (46%) adherence during 60 days prior to the inpatient admission; in comparison, adherence for the overall 6-month period was 8% (54%) higher. Our study findings suggest that both short-term (e.g., 60 days) and long-term (e.g., 6-12 months) medication adherence likely are important characteristics to examine among patients with schizoaffective disorder and help provide a more holistic view of patients' adherence patterns. Furthermore, we observed a high rate of rehospitalization and greater healthcare costs during the initial 60-day period post-discharge among patients with schizoaffective disorder. Further research is required to better understand and manage transitional care after discharge (e.g., monitor adherence), which may help reduce the likelihood of rehospitalization and the associated downstream costs.

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.

Psychotropic prescription patterns among patients diagnosed with depressive disorder based on claims database in Japan

BACKGROUND AND OBJECTIVE

Clinical guidelines recommend monotherapy with antidepressants for the treatment of major depression. This study examined prescription patterns with regard to both duration and type of treatment used among patients with newly diagnosed non-psychotic major depression based on a claims database from health insurance societies between 2008 and 2011 in Japan.

METHODS

A retrospective cohort (N = 600,000) followed up for 4 years was used to identify patients (age ≥18 years) with newly diagnosed non-psychotic major depression. The prescription patterns and polypharmacy were examined. Four different types of pharmaceutical drugs were defined as possible psychotropic agents for major depression: (1) first- and/or second-generation antidepressants; (2) benzodiazepines; (3) sulpiride; and (4) antipsychotics. The data were analyzed by an intent-to-treat approach at months 0, 1, 3, 6, and 12 from the date of diagnosis.

RESULTS

A total of 7,338 patients (3,684 males and 3,654 females, mean age 36.8 ± 10.9 years) with newly diagnosed non-psychotic major depression were identified. The median duration of treatment was 122 days. The proportion of patients in the cohort prescribed at least one type of defined psychotropic agents was 75.6 % (month 0), 47.3 % (month 1), 36.0 % (month 3), 26.8 % (month 6), and 17.4 % (month 12). The proportion of patients in the cohort prescribed at least one first- and/or second-generation antidepressant was 50.2 % (month 0), 34.9 % (month 1), 27.5 % (month 3), 20.3 % (month 6), and 12.5 % (month 12). The proportion of patients receiving at least one benzodiazepine was 58.0 % (month 0), 36.7 % (month 1), 27.1 % (month 3), 20.0 % (month 6), and 12.0 % (month 12). The proportion of patients receiving an antidepressant as monotherapy was only 12.0 % (month 0), 7.8 % (month 1), 6.5 % (month 3), 4.8 % (month 6), and 2.9 % (month 12), whereas the proportion of patients treated with a benzodiazepine alone was 13.5 % (month 0), 6.9 % (month 1), 4.6 % (month 3), 3.5 % (month 6), and 2.7 % (month 12). Various combinations of polypharmacy were observed. The most common was a combination of at least one antidepressant and benzodiazepine, which was prescribed to 36.7 % (month 0), 25.8 % (month 1), 19.9 % (month 3), 14.9 % (month 6), and 9.2 % (month 12) of the cohort.

CONCLUSIONS

Based on analysis of prescription patterns and type of treatment used for treating non-psychotic major depression, a majority of patients were not treated according to the recommended guidelines in Japan. Various patterns of prescription and use of polypharmacy were observed over time. The median duration of treatment was shorter than the recommendation (6 months) in the guidelines.

Using quantile regression to assess disparities in medication adherence

OBJECTIVE

To examine racial/ethnic disparities in medication adherence between Asian and Pacific Islander Americans and Whites.

METHODS

This retrospective data analysis included diabetes patients enrolled in a health plan in Hawaii (N = 43,445). For anti-diabetic, lipid-lowering, and anti-hypertensive medications, quantile regression was estimated at 25(th), 50(th), and 75(th) quantiles to examine the association with race and ethnicity, controlling for other patient characteristics.

RESULTS

Consistently, Filipinos, Native Hawaiians, and other Pacific Islanders were significantly less adherent than Whites. The greatest disparities were found for other Pacific Islanders using lipid-lowering medications, with adjusted differences in medication adherence, with reductions relative to Whites of as much as 19% for lipid-lowering medications for the 25(th) quantile of adherence.

CONCLUSION

Whereas the large sample size undoubtedly contributed to the statistical significance, the large magnitude of the disparities, particularly for Filipinos, Native Hawaiians, and other Pacific Islanders, which suggests that these are meaningful differences that need to be addressed. The largest disparities were found at the lowest quantile suggests that they may be occurring among the most vulnerable populations with potentially poor access to care.

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.

Health literacy and antidepressant medication adherence among adults with diabetes: the diabetes study of Northern California (DISTANCE)

BACKGROUND

Previous studies have reported that health literacy limitations are associated with poorer disease control for chronic conditions, but have not evaluated potential associations with medication adherence.

OBJECTIVE

To determine whether health literacy limitations are associated with poorer antidepressant medication adherence.

DESIGN

Observational new prescription cohort follow-up study.

PARTICIPANTS

Adults with type 2 diabetes who completed a survey in 2006 and received a new antidepressant prescription during 2006-2010 (N = 1,366) at Kaiser Permanente Northern California.

MAIN MEASURES

Validated three-item self-report scale measured health literacy. Discrete indices of adherence based on pharmacy dispensing data according to validated methods: primary non-adherence (medication never dispensed); early non-persistence (dispensed once, never refilled); non-persistence at 180 and 365 days; and new prescription medication gap (NPMG; proportion of time that the person is without medication during 12 months after the prescription date).

KEY RESULTS

Seventy-two percent of patients were classified as having health literacy limitations. After adjusting for sociodemographic and clinical covariates, patients with health literacy limitations had significantly poorer adherence compared to patients with no limitations, whether measured as early non-persistence (46 % versus 38 %, p < 0.05), non-persistence at 180 days (55 % versus 46 %, p < 0.05), or NPMG (41 % versus 36%, p < 0.01). There were no significant associations with primary adherence or non-persistence at 365 days.

CONCLUSIONS

Poorer antidepressant adherence among adults with diabetes and health literacy limitations may jeopardize the continuation and maintenance phases of depression pharmacotherapy. Findings underscore the importance of national efforts to address health literacy, simplify health communications regarding treatment options, improve public understanding of depression treatment, and monitor antidepressant adherence.

Follow up of patients who start treatment with antidepressants: treatment satisfaction, treatment compliance, efficacy and safety

BACKGROUND

Measuring satisfaction with treatment has proved useful to ascertain the treatment features that are most important to the patients, and to explain increased treatment compliance. However, there are few studies that relate satisfaction to other clinical or self-perceived health status indicators. Recent studies have shown the close relationship between satisfaction with treatment, treatment compliance, and effectiveness. This study attempts to design and validate a scale to evaluate satisfaction with antidepressant drug therapy, assess treatment compliance (self-reported, validated questionnaire, drug accountability and electronic monitorization system), assess efficacy in reducing depressive symptoms and safety in patients who initiate antidepressant drug therapy, as well as to establish predictors of satisfaction, compliance and effectiveness with these drugs.

METHODS/DESIGN

This is an observational longitudinal study with a cohort of adults initiating treatment with antidepressant drugs. A multi-centre study will be performed in which 20 Primary Care practices from Castilla-La Mancha are expected to participate. An initial interview and follow-up visits at 15 days, 1, 3, 6, 9 and 12 months will be conducted with all study participants. 706 subjects will be studied (95% confidence interval, precision ± 3%, expected rate of non-compliance 50%, expected non-responders and lost to follow up rate 15%). The following measurements will be performed: development and validation of a scale of satisfaction with antidepressant therapy, participant and antidepressant characteristics, treatment compliance evaluation (Haynes-Sackett Test, Morisky-Green Test, drug accountability and Medication Event Monitoring System), depression symptom reduction (Hamilton Depression Rating Scale and Montgomery-Asberg Depression Rating Scale), observation of adverse effects, and beliefs about treatment (The Beliefs about Medicines Questionnaire).

DISCUSSION

Antidepressant drugs are an extraordinarily important therapeutic group in the pharmacy composition; economic repercussions and social impact associated to their use is clear. Despite their well-established efficacy in clinical trials, treatment non-compliance is a major obstacle to their effectiveness in clinical practice. The proposed study brings about useful conclusions to improve the results of these drugs. Additionally, devising a scale specifically designed to evaluate satisfaction with antidepressant treatment could be of interest in healthcare outcomes research.

Sociodemographic and clinical predictors of compliance with antidepressants for depressive disorders: systematic review of observational studies

BACKGROUND

The literature shows that compliance with antidepressant treatment is unsatisfactory. Several personal and disease-related variables have been shown to be related to compliance behavior. The objective of this study was to review the literature about sociodemographic and clinical predictors of compliance in patients with depressive disorders.

METHODS

The Medline, Embase, Cochrane Central, PsycInfo, and Cinahl databases were searched until May 2012. Studies that analyzed sociodemographic and clinical predictors or correlates of compliance in patients with depressive disorder were included. A quantitative synthesis was not performed because of the heterogeneity and availability of the data reported. For similar reasons, the results were not classified according to the different phases of treatment. The search was limited to studies published in English and Spanish.

RESULTS

Thirty-two studies fulfilled the inclusion criteria. The most consistent associations with compliance were found for age (older patients showed more compliance) and race (white patients were more likely to adhere to treatment than minority ethnic groups). Few studies assessed clinical factors, and the most plausible predictors of compliance were certain comorbidities and substance abuse. Severity of depression did not play an important role in predicting compliance.

CONCLUSION

The impact of the variables studied on compliance behavior appeared to be inconsistent. Identifying potential predictors of compliance with antidepressant treatment is important, both for the routine practice of the mental health professional and for refining interventions to enhance adherence and target them to specific populations at risk of noncompliance.

Failure to refill essential prescription medications for asthma among pediatric Medicaid beneficiaries with persistent asthma

The problem of patients not taking medications as prescribed, also known as "lack of medication adherence," is widely discussed as an issue related to suboptimal outcomes and excess health care expenditure. Although medication adherence is defined as patients not taking medications as prescribed, there are two elements to it: first, those who fail to follow the medication regimen by skipping a dose or not following the instructions, resulting in poor adherence with prescribed medicines; and, second, the patient who does not take the medication at all or stops after the initial fill. The existing literature contains a lot of studies on the first element, but very little is known about those who stop taking their medication after the initial fill or do not take it at all. In this study, our focus is on identifying patients who fail to refill a prescription for essential medicines, such as asthma-controlling drugs. Using Medicaid claims datasets, this study analyzed a pediatric population diagnosed with persistent asthma that discontinued an essential controlling medication after the initial fill. We found that more than half of this population did not continue their medication after the first fill. While there might be many reasons behind the failure to refill such medications, our data indicate that race/ethnicity, comorbid illness, and type of Medicaid plan are potentially associated with such behavior. Future research is warranted to understand this issue further and identify specific factors causing such behavior, such that strategies may be formulated by which poor adherence can be minimized.

Economic factors in of patients' nonadherence to antidepressant treatment

PURPOSE

Patients' nonadherence to antidepressant treatment hampers cost and efficacy of depression-specific treatment. However, previous studies have failed to find consistent findings in economic effect on nonadherence and also failed to reach consensus in how to measure nonadherence to treatment. The study attempts to investigate income effect on nonadherence to selective serotonin reuptake inhibitors (SSRIs) treatment with clear definitions of nonadherence: self discontinuation of SSRIs (nonpersistence) and under-dose of SSRIs (noncompliance).

METHODS

The study extracted data from the National Comorbidity Survey-Replication (NCS-R). The study sample (n = 280) includes adults between the ages of 18 and 64 who were diagnosed with Diagnostic Statistics Manual IV Major Depressive Episode (MDE) at some point during their lifetime and medicated with SSRIs in the past 12 months.

RESULTS

Just above poverty level of family income and no health insurance increased the risk of medication nonpersistence in SSRIs treatment. The study findings confirmed that African Americans were at higher risk of medication noncompliance than Whites (odds ratio, 4.53) and MDE comorbidity was positively associated with medication noncompliance (odds ratio, 4.25).

CONCLUSIONS

Low income level, combined with health insurance status, and race/ethnicity, predict nonadherence to antidepressant treatment. The study findings would help physicians and hospitals developing interventional strategies and programs to increase patients' adherence rates in antidepressant treatment.