Clinical and economic impact of non-adherence to antidepressants in major depressive disorder: A systematic review

The impact of eliminating out-of-pocket payments for medicines on low-income households: a controlled interrupted time series analysis using linked administrative data from British Columbia

BACKGROUND

There is interest in reducing out-of-pocket payments for prescription medicines, but the effects of such interventions remain unclear.

OBJECTIVE

To study the impact of changes to the public prescription drug insurance program in British Columbia (BC), Canada that eliminated copayments for low-income households.

METHODS

We used administrative data from 2017 to 2021 from Population Data BC and a controlled interrupted time-series design to examine a 2019 policy that eliminated copayments for households with incomes below $13,750. Households with incomes over $45,000-who experienced no changes in public coverage-served as a control. Our primary outcomes were prescription drug expenditures and the number of prescriptions dispensed. We also conducted a pre-post analysis to study impacts on dispensing and expenditures across therapeutic classes.

RESULTS

The intervention cohort included 9,095 patients representing 8,011 households with an average age of 48.4. The control cohort included 820,395 patients representing 471,778 households with an average age of 51.1. Copayment elimination led to a level increase of $3.85 (95 % CI: $1.13 - $7.03) in monthly drug expenditures and had no impact on the trend. The mean number of prescriptions dispensed had a level increase of 0.07 (95 % CI: 0.04 - 0.09) and the rate of dispensing increased by 0.006 prescriptions monthly (95 % CI: 0.002 - 0.010). Copayment elimination was associated with increased expenditures and dispensing across most therapeutic classes.

INTERPRETATION

Copayment elimination for low-income households in BC led to significant increases in prescription drug expenditures and dispensing across drug classes. Eliminating copayments appears to be effective at improving access to medicines for lower-income families.

Antidepressant Use Trajectories and Risk of Discontinuation After Adolescents and Young Adult Cancer Diagnosis

BACKGROUND

Little is known about the continuity of antidepressant treatment after adolescent and young adult (AYA) cancer diagnosis. Clinical guidelines recommend that past antidepressant use trajectories should inform decisions on discontinuation after cancer diagnosis. We characterized AYAs' antidepressant adherence trajectories before incident cancer diagnosis and assessed any association between their past adherence trajectory and the risk of antidepressant discontinuation up to 1 year afterward.

METHODS

We conducted a retrospective, longitudinal cohort study of AYAs receiving ≥ 2 antidepressant fills 9 months before incident cancer diagnosis (index date). Group-based trajectory modeling was used to estimate latent subgroups of antidepressant adherence before cancer diagnosis, using monthly proportions of days covered (PDC) over the nine-month baseline; IQVIA PharMetrics Plus for Academics US claims, 2006-2020. Discontinuation was defined as ≥ 60-days gap without antidepressants within 1 year post-index date.

RESULTS

We observed three distinct antidepressant adherence trajectory groups before cancer diagnosis: recent start (17% of cohort, mean PDC [range]: 0.25 [0.03-0.49]); gradually increasing (36%, mean PDC [range]: 0.57 [0.22-0.81]); and consistently high (47%, mean PDC [range]: 0.90 [0.62-1.00]). Compared with AYAs exhibiting prior consistently high adherence trajectories, those with recent start (HR, [95% CI] 1.96, [1.46-2.63]) and gradually increasing (HR, [95% CI] 1.52, [1.20-1.93]) trajectories experienced about 2 times the higher risk of antidepressant discontinuation over the year following cancer diagnosis.

CONCLUSION

Past antidepressant trajectory is associated with antidepressant discontinuation after AYA cancer diagnosis. Attention is needed in the psycho-oncologic care of AYAs who recently started antidepressants before cancer diagnosis.

Antidepressant adherence using group-based trajectory modeling among postpartum women with Texas Medicaid

BACKGROUND

Mental health conditions are among the most frequent underlying causes of pregnancy-related death, and antidepressants may have a positive impact. However, adherence is suboptimal, and little is known regarding antidepressant adherence trajectories among postpartum women in the United States.

OBJECTIVE

To describe antidepressant use among postpartum women with Texas Medicaid and determine factors associated with adherence trajectories.

METHODS

This retrospective analysis of Texas Medicaid claims (January 1, 2018, to June 30, 2022) included women aged 12 to 55 years with at least 1 delivery, who were continuously enrolled 84 days before and 12 months after delivery, and who received an antidepressant within 90 days after delivery. The index date was the first dispensing of an antidepressant after delivery. The dependent variable was antidepressant adherence, defined as the proportion of days covered (PDC) and measured in 30-day increments for 270 days after antidepressant initiation. The independent variables were guided by the Andersen Behavioral Model and included predisposing (age and race and ethnicity), enabling (urbanicity, prenatal care, and postpartum care), and need (baseline depression/anxiety, baseline substance use disorder [SUD], cesarean delivery, preterm birth, and pregnancy complications) factors. Group-based trajectory modeling (GBTM) was used to identify antidepressant adherence trajectory groups. Multinomial logistic regression was used to identify factors associated with adherence trajectory group membership.

RESULTS

The included patients (N = 15,667) had a mean ± SD age of 27.4 ± 5.9 years, and 41.7% were White. Most resided in urban counties (78.0%) and had 6.4 ± 3.5 prenatal visits, 3.1 ± 2.8 postpartum visits, and 1.4 ± 0.9 pregnancy complications. Nearly half (49.8%) had baseline depression/anxiety, 17.2% had baseline SUD, 37.4% had cesarean delivery, and 13.9% had preterm birth. At 270 days after antidepressant initiation, mean ± SD adherence was 43.9 ± 29.5, and the adherence rate (PDC ≥ 80) was 15.9%. During the 270 days follow-up, mean ± SD persistence without a 30-day gap was 103 ± 85.2 days, and the persistence rate (proportion persisting 180 days without a 30-day gap) was 22.1%. GBTM revealed 5 membership groups: consistent high (19.0%), fluctuating (22.5%), slowly decreasing (13.3%), and rapidly decreasing (21.8%) adherence and early and consistent nonadherence (23.4%). Patterns emerged with decreasing adherence at 2, 3, and 6 months after initiation. Increasing age, non-Black race, urban residence, increasing postpartum care visits, and baseline depression/anxiety were associated with the consistent high-adherence trajectory compared with most lower-adherence trajectories. However, baseline SUD and preterm birth were associated with membership in the less-adherent compared with the consistently adherent trajectory.

CONCLUSIONS

Overall adherence and persistence were suboptimal, and GBTM revealed unique patterns of postpartum antidepressant adherence behaviors. To help impact maternal morbidity and mortality, adherence interventions should be tailored to women who are younger, Black, live in rural counties, have SUD, or had a preterm birth.

Does drug dispensing influence patients' medication knowledge and medication adherence? A systematic review and meta-analysis

BACKGROUND

Inadequate medication knowledge and medication nonadherence by patients are considered an issue in healthcare, as they can lead to negative outcomes, such as therapeutic failures and hospitalization. Even though drug dispensing, which has pharmacist counseling as a core element, is a service traditionally performed by pharmacists, there is still no evidence about the influence of this service on these health outcomes.

OBJECTIVE

To evaluate the influence of drug dispensing on patients' medication knowledge and medication adherence.

METHODS

A systematic review was conducted in which a literature search was performed in the PubMed/Medline, Biblioteca Virtual da Saúde, Web of Science, and Embase databases, as well as in gray literature. Two reviewers read the titles, abstracts and complete texts according to the eligibility criteria and extracted the data from the included articles. Original studies-of any design-evaluating the influence of drug dispensing on patients' medication knowledge and/or adherence in community pharmacies were included. The methodological quality was assessed through the tools provided by the JBI Institute. The data was analyzed through qualitative synthesis and a meta-analysis was conducted for randomized controlled trials which used the outcome of medication adherence using the RStudio version 4.3.3 program.

RESULTS

A total of 7,590 studies were identified in the initial search, of which 11 articles met the eligibility criteria and were included in this systematic review. The studies were published in Africa, Latin America, Asia, Europe and Australia. Most of the studies were interventional (n = 7). Four studies evaluated the influence of drug dispensing on the patient's medication knowledge, and all showed that knowledge increased after dispensing. Eight studies evaluated the influence of dispensing on medication adherence. Three studies were included in the meta-analysis, which showed moderate heterogeneity (I2 = 44%, p = 0.17). The results indicated that there was no statistically significant difference in medication adherence post-dispensing (RR: 1.19; 95%CI 0.99 to 1.43, p = 0.07). Six studies met more than 70% of the quality assessment criteria.

CONCLUSION

This systematic review demonstrated that patient's medication knowledge can be increased through drug dispensing. However, the meta-analysis indicated that drug dispensing does not have an impact on medication adherence. Our findings can support evidence-based decisions, guiding the planning and development of public policies and interventions which improve drug dispensing for patients, families, and communities.

Optimizing the Use of Personal Values to Promote Medication Adherence: A Randomized Controlled Trial Comparing Affective and Behavioral Responses to Theory-Driven Domain Congruent Versus Incongruent Values Approaches

BACKGROUND

Self-affirmation theory (SAT) and acceptance and commitment therapy (ACT) embody competing approaches to leveraging personal values to motivate behavior change but are rarely compared in the domain of health behavior. This study compares these theory-driven values-based interventions for promoting medication adherence.

PURPOSE

To compare affective and behavioral responses to competing values-based medication adherence interventions.

METHODS

In this three-armed randomized trial, participants with cancer (n = 95) or diabetes (n = 97) recruited online using Prolific and prescribed daily oral medication for that disease completed a one-session online writing intervention leveraging (1) a domain incongruent (DI) value, where the value was not connected to medication adherence; (2) a domain congruent (DC) value, where the value was connected to adherence; or (3) a control condition, focused on medication adherence procedures.

RESULTS

There were no main effects of conditions on reported medication adherence at the 1-month follow-up. During the intervention, positive affect was higher in the values conditions than control (p < .001), and trended higher in DI versus DC (p = .054). Negative affect did not vary between the values and control groups (p = .093) but was lower in DI versus DC (p = .006). Improvements in positive affect over the course of the intervention were associated with increased adherence behavior for individuals who started with low levels of positive affect (p = .003). Disease type did not moderate findings.

CONCLUSIONS

Consistent with SAT, focusing on DI values led to more positive and less negative affect than connecting values directly to behavior in a threatening domain such as chronic illness. For some participants, increases in positive affect predicted greater adherence.

Effects of pharmacogenomics-guided treatment on medication adherence and the antidepressant switching rate in major depressive disorder

Background

In the treatment of depression, medication plays a crucial role. However, insufficient patient adherence to medication often results in unsatisfactory treatment outcomes, increasing both the recurrence and rehospitalization rates of depression, and consequently imposing a greater economic burden on the healthcare system.

Objectives

Our objective was to examine the impact of pharmacogenomic testing on medication adherence and antidepressant switching rates among individuals diagnosed with depression.

Methods

This retrospective cohort study encompassed patients diagnosed with depression who were admitted to the First Hospital of Hebei Medical University between April 2022 and September 2023. Patients were categorized into a pharmacogenomics-guided treatment (PGxT) group and a treatment as usual (TAU) group based on whether pharmacogenetic testing was conducted. The primary outcome measures included the proportion of patients exhibiting medication adherence greater than 80% at three and 6 months post-discharge, as well as the proportion of patients experiencing changes in their prescribed medication types.

Results

A total of 310 patients in the PGxT group and TAU group were obtained through propensity score matching. Among the 620 patients in both groups, 57.42% demonstrated good adherence (≥80%) at 3 months; this percentage dropped to 31.45% at 6 months. At 3 months of observation, the percentages of patients demonstrating good adherence were significantly different between the groups (64.52% in the PGxT group vs. 50.32% in the TAU group; p < 0.001). The difference was also significant after 6 months (38.06% in the PGxT group vs. 24.84% in the TAU group; p < 0.001). Furthermore, patients receiving PGxT (20.64%) exhibited a lower rate of antidepressant conversion compared to those receiving TAU (31.29%).

Conclusion

The findings of this study indicate that pharmacogenomics testing positively influences treatment adherence and may decrease the need to switch medications among patients with depression.

Differences across race and ethnicity in the quality of antidepressant medication management

OBJECTIVE

To illustrate the importance of a multidimensional view of disparities in quality of antidepressant medication management (AMM), as well as discriminating "within-facility" disparities from disparities that exist between facilities.

DATA SOURCES AND STUDY SETTING

We used data from the Veterans Health Administration's (VA) Corporate Data Warehouse (CDW) which contains clinical and administrative data from VA facilities nationally.

STUDY DESIGN

CDW data were used to measure five indicators of AMM quality, including the HEDIS Effective Acute-Phase and Effective Continuation-Phase measures. Mixed effects regression models were used to examine differences in quality indicators between racial/ethnic groups, controlling for other demographic and clinical factors. An adaptation of the Kitagawa-Blinder-Oaxaca (KBO) method was used to decompose mean differences in treatment quality between racial and ethnic groups into within- and between-facility effects.

DATA EXTRACTION METHODS

Demographic, clinical, and health service utilization data were extracted for patients in fiscal year 2017 with a diagnosis of depression and a new start of an antidepressant medication.

PRINCIPAL FINDINGS

The decomposition of the overall differences between White and Black patients on receiving an initial 90-day prescription (46.7% vs. 32.7%), Effective Acute-Phase (79.7% vs. 66.8%), and Effective Continuation-Phase (64.0% vs. 49.6%) HEDIS measures revealed that most of the overall effects were "within-facility," meaning that Black patients are less likely to meet these measures regardless of where they are treated. Although the overall magnitude of disparities between White and Hispanic patients on these three measures was very similar (46.7% vs. 32.7%; 79.7% vs. 69.2%; 64.0% vs. 53.6%), the differences were more attributable to Hispanic patients being treated in facilities with overall lower performance on these measures.

CONCLUSIONS

Discriminating within- and between-facility disparities and taking a multidimensional view of quality are essential to informing efforts to address disparities in AMM quality.

Medication-Induced Weight Change Across Common Antidepressant Treatments : A Target Trial Emulation Study

BACKGROUND

Antidepressants are among the most commonly prescribed medications, but evidence on comparative weight change for specific first-line treatments is limited.

OBJECTIVE

To compare weight change across common first-line antidepressant treatments by emulating a target trial.

DESIGN

Observational cohort study over 24 months.

SETTING

Electronic health record (EHR) data from 2010 to 2019 across 8 U.S. health systems.

PARTICIPANTS

183 118 patients.

MEASUREMENTS

Prescription data determined initiation of treatment with sertraline, citalopram, escitalopram, fluoxetine, paroxetine, bupropion, duloxetine, or venlafaxine. The investigators estimated the population-level effects of initiating each treatment, relative to sertraline, on mean weight change (primary) and the probability of gaining at least 5% of baseline weight (secondary) 6 months after initiation. Inverse probability weighting of repeated outcome marginal structural models was used to account for baseline confounding and informative outcome measurement. In secondary analyses, the effects of initiating and adhering to each treatment protocol were estimated.

RESULTS

Compared with that for sertraline, estimated 6-month weight gain was higher for escitalopram (difference, 0.41 kg [95% CI, 0.31 to 0.52 kg]), paroxetine (difference, 0.37 kg [CI, 0.20 to 0.54 kg]), duloxetine (difference, 0.34 kg [CI, 0.22 to 0.44 kg]), venlafaxine (difference, 0.17 kg [CI, 0.03 to 0.31 kg]), and citalopram (difference, 0.12 kg [CI, 0.02 to 0.23 kg]); similar for fluoxetine (difference, -0.07 kg [CI, -0.19 to 0.04 kg]); and lower for bupropion (difference, -0.22 kg [CI, -0.33 to -0.12 kg]). Escitalopram, paroxetine, and duloxetine were associated with 10% to 15% higher risk for gaining at least 5% of baseline weight, whereas bupropion was associated with 15% reduced risk. When the effects of initiation and adherence were estimated, associations were stronger but had wider CIs. Six-month adherence ranged from 28% (duloxetine) to 41% (bupropion).

LIMITATION

No data on medication dispensing, low medication adherence, incomplete data on adherence, and incomplete data on weight measures across time points.

CONCLUSION

Small differences in mean weight change were found between 8 first-line antidepressants, with bupropion consistently showing the least weight gain, although adherence to medications over follow-up was low. Clinicians could consider potential weight gain when initiating antidepressant treatment.

PRIMARY FUNDING SOURCE

National Institutes of Health.

Prospective Associations Between Personality Traits and Major Depressive Disorder Symptom Severity: The Mediating Role of Illness Representations

Major depressive disorder (MDD) patients' personality traits and illness representations are linked to MDD severity. However, the associations between personality and illness representations in MDD and the mediating role of illness representations between personality and MDD severity have not been investigated. This study aimed to prospectively investigate the aforementioned associations and the possible mediating role of illness representations between personality and MDD severity. One hundred twenty-five patients with a MDD diagnosis, aged 48.18 ± 13.92 (84% females), participated in the study. Personality traits were measured with the Traits Personality Questionnaire at baseline. Illness representations were measured with the Illness Perception Questionnaire-Mental Health about five months later (mean = 5.08 ± 1.14 months). MDD severity was measured about 10 months after the baseline assessment (mean = 9.53 ± 2.36 months) with the Beck Depression Inventory. SPSS 29 and AMOS 27 were used to conduct correlational and parallel mediation analyses. According to the results, Neuroticism was positively and Extraversion was negatively linked to MDD severity. Negative MDD impact representations fully mediated these associations. Neuroticism and Extraversion are linked to future MDD severity through patients' representations of MDD's impact. Restructuring maladaptive representations about MDD's impact can be a promising way to reduce symptom severity in patients with high Neuroticism and low Extraversion levels.

Exploring the incidence of inadequate response to antidepressants in the primary care of depression

Data from the UK suggests 13-55 % of depression patients experience some level of treatment resistance. However, little is known about how physicians manage inadequate response to antidepressants in primary care. This study aimed to explore the incidence of inadequate response to antidepressants in UK primary care. One-hundred-eighty-four medication-free patients with low mood initiated antidepressant treatment and monitored severity of depression symptoms, using the QIDS-SR16, for 48 weeks. Medication changes, visits to healthcare providers, and health-related quality of life were also recorded. Patients were classified into one of four response types based on their QIDS scores at three study timepoints: persistent inadequate responders (<50 % reduction in baseline QIDS at all timepoints), successful responders (≥50 % reduction in baseline QIDS at all timepoints), slow responders (≥50 % reduction in QIDS at week 48, despite earlier inadequate responses), and relapse (initial ≥50 % reduction in baseline QIDS, but inadequate response by week 48). Forty-eight weeks after initiating treatment 47 % of patients continued to experience symptoms of depression (QIDS >5), and 20 % of patients had a persistent inadequate response. Regardless of treatment response, 96 % (n = 176) of patients did not visit their primary care physician over the 40-week follow-up period. These results suggest that despite receiving treatment, a considerable proportion of patients with low mood remain unwell and fail to recover. Monitoring depression symptoms remotely can enable physicians to identify inadequate responders, allowing patients to be reassessed or referred to secondary services, likely improving patients' quality of life and reducing the socioeconomic impacts of chronic mental illness.

Effectiveness of interventions to improve adherence to antidepressant medication in patients with depressive disorders: a cluster randomized controlled trial

Aim

To assess the effectiveness of two interventions of knowledge transfer and behavior modification to improve medication adherence in patients with depressive disorders.

Methods

An open, multicenter, three-arm clinical trial with random allocation by cluster to usual care or to one of the two interventions. The intervention for psychiatrists (PsI) included an educational program based on a patient-centered care model. The intervention for patients and relatives (PtI) included a collaborative care program plus a reminder system that works using an already available medication reminder application. The primary outcome was patient adherence to antidepressant treatment assessed through the Sidorkiewicz Adherence Instrument. Secondary measures were depression severity, comorbid anxiety and health-related quality of life. Mixed regression models with repeated measures were used for data analysis.

Results

Ten psychiatrists and 150 patients diagnosed with depressive disorder from eight Community Mental Health Units in the Canary Islands (Spain) were included. Compared with usual care, no differences in long-term adherence were observed in either group PsI or PtI. The PsI group had significantly improved depression symptoms (B = -0.39; 95%CI: -0.65, -0.12; p = 0.004) during the follow-up period. The PtI group presented improved depression symptoms (B = -0.63; 95%CI: -0.96, -0.30; p < 0.001) and mental quality of life (B = 0.08; 95%CI: 0.004, 0.15; p = 0.039) during the follow-up period.

Conclusion

The assessed interventions to improve adherence in patients with depressive disorder were effective for depression symptoms and mental quality of life, even over the long term. However, no effect on antidepressant adherence was observed.

Eliciting Depression Patients' Preferences for Medication Management: A Protocol for Discrete Choice Experiment

Introduction

Depression threatens people's lives and imposes huge economic burden. Antidepressant therapy is the first-line treatment for depression, and patient adherence to medication is the key to successful treatment. Depression patients have poor medication adherence, which leads to failure of depression management and significantly poorer clinical outcomes. Incorporating patient preferences into clinical decisions can improve uptake rates, optimize treatment adherence. A discrete choice experiment (DCE) can elicit and quantify individual preferences. Previous DCE studies were conducted in developed countries and ignored the influences of factors other than the medication. This paper outlines an ongoing DCE that aims to (1) explore medication-management-related characteristics that may affect depression patients' adherence to antidepressant, (2) elicit how depression patients consider the trade-offs among different medication managements.

Methods

The six attributes and their levels were developed through a literature review, semi-structured interviews and experts and focus group discussions. A fractional factorial design in the software Ngene 1.2 version was used to generate 36 choice sets, and they were divided into 3 blocks. A mixed logit model will be used to explore the patients' preferences, willingness to pay and uptake rate of depression patients for medication management attributes.

Results

The final questionnaire consists of three parts. The first is the introduction, which introduces the purpose of the study and the requirements of completing the questionnaire. This was followed by a general information questionnaire, which included sociodemographic characteristics. The last part is DCE tasks, which include 13 DCE choice sets, and each choice set include two alternative and one "opt-out" option. The pilot-test results showed the questionnaire was easy to understand and could be used in formal surveys.

Conclusion

Our study shows how the development process of the study can be conducted and reported systematically and rigorously according to the theoretical foundation and design principles in DCE.

Sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders: a systematic review with a meta-analysis

Introduction: Current evidence reveals concerning rates of non-adherence to antidepressant treatment, possibly influenced by various relevant determinants such as sociodemographic factors or those related to the health system and their professionals. The aim of this paper is to review the scientific evidence on sociodemographic and clinical predictors of adherence to pharmacological treatment in patients diagnosed with a depressive disorder. Methods: a systematic review (SR) was conducted. The search for a previous SR was updated and de novo searches were performed in Medline, EMBASE, Web of Science (WoS) and PsycInfo (last 10 years). The risk of bias was assessed using the Cochrane tool for non-randomized studies-of Exposure (ROBINS-E). Meta-analyses were conducted. Results: Thirty-nine studies (n = 2,778,313) were included, 24 of them in the meta-analyses. In the initiation phase, no association of adherence was found with any of the predictors studied. In the implementation and discontinuation phases, middle-aged and older patients had better adherence rates and lower discontinuation rates than younger ones. White patients adhered to treatment better than African-American patients. Discussion: Age and ethnicity are presented as the predictive factors of pharmacological adherence. However, more research is needed in this field to obtain more conclusive results on other possible factors. Systematic Review Registration: [https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023414059], identifier [CRD42023414059].

Digital Therapeutics for Improving Effectiveness of Pharmaceutical Drugs and Biological Products: Preclinical and Clinical Studies Supporting Development of Drug + Digital Combination Therapies for Chronic Diseases

Limitations of pharmaceutical drugs and biologics for chronic diseases (e.g., medication non-adherence, adverse effects, toxicity, or inadequate efficacy) can be mitigated by mobile medical apps, known as digital therapeutics (DTx). Authorization of adjunct DTx by the US Food and Drug Administration and draft guidelines on "prescription drug use-related software" illustrate opportunities to create drug + digital combination therapies, ultimately leading towards drug-device combination products (DTx has a status of medical devices). Digital interventions (mobile, web-based, virtual reality, and video game applications) demonstrate clinically meaningful benefits for people living with Alzheimer's disease, dementia, rheumatoid arthritis, cancer, chronic pain, epilepsy, depression, and anxiety. In the respective animal disease models, preclinical studies on environmental enrichment and other non-pharmacological modalities (physical activity, social interactions, learning, and music) as surrogates for DTx "active ingredients" also show improved outcomes. In this narrative review, we discuss how drug + digital combination therapies can impact translational research, drug discovery and development, generic drug repurposing, and gene therapies. Market-driven incentives to create drug-device combination products are illustrated by Humira® (adalimumab) facing a "patent-cliff" competition with cheaper and more effective biosimilars seamlessly integrated with DTx. In conclusion, pharma and biotech companies, patients, and healthcare professionals will benefit from accelerating integration of digital interventions with pharmacotherapies.

Patient satisfaction with the quality of care received is associated with adherence to antidepressant medications

BACKGROUND

There is a paucity of evidence on the association between satisfaction with quality of care and adherence to antidepressants.

OBJECTIVES

To examine the association between patient satisfaction with healthcare and adherence to antidepressants.

METHODS

A cohort study design was used to identify antidepressant users from the 2010-2016Medical Expenditure Panel Survey data, a national longitudinal complex survey study design on the cost and healthcare utilization of the noninstitutionalized population in the United States. The Consumer Assessment of Healthcare Providers and Systems were used to measure participants' satisfaction with access and quality of care, patient-provider communication and shared decision-making (SDM). Patients were considered satisfied if they ranked the quality of care at ≥9 (range: 0[worst]- 10[best]). Antidepressant adherence was measured based on medication refill and complete discontinuation. MEPS sampling survey-weighted multivariable-adjusted logistic regression models were used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between satisfaction and adherence to antidepressants. We tested for the potential presence of reverse associations by restricting the analysis to new users of antidepressants. The roles of patient-provider communication and SDM on the satisfaction-adherence association were examined through structural equation models (SEM).

RESULTS

Among 4,990 (weighted counts = 8,661,953) antidepressant users, 36% were adherent while 39% discontinued antidepressants therapy. Half of antidepressant users were satisfied with the healthcare received. Satisfied patients were 26% (OR = 1.26, 95%CI: 1.08, 1.47) more likely to adhere and 17% (OR = 0.83, 95%CI: 0.71, 0.96) less likely to discontinue, compared to unsatisfied antidepressant users. Patient satisfaction was also associated with higher odds (OR = 1.41, 95%CI: 1.06, 1.88) of adherence among a subgroup of new users of antidepressants. The SEM analysis revealed that satisfaction was a manifestation of patient-provider communication (β = 2.03, P-value<0.001) and SDM (β = 1.14, P-value<0.001).

CONCLUSIONS

Patient satisfaction is a potential predictor of antidepressant adherence. If our findings are confirmed through intervention studies, improving patient-provider communication and SDM could likely drive both patient satisfaction and adherence to antidepressants.

Medication economic burden of antidepressant non-adherence in Spain

Introduction: Non-adherence to antidepressants is associated with worse disease outcomes (morbidity and mortality) and correlates with higher healthcare resource utilization and costs. Methods: A population-based registry study was conducted to assess non-adherence and to analyze the economic burden of treatment and from non-adherence to antidepressants in 2021. Non-adherence was measured by the Medication Possession Ratio and those below 80% were classified as non-adherent. Results: In 2021, 246,718 patients (10.60% [95% CI: 10.48-10.72]) received antidepressants at a cost of €29 million. The median antidepressant cost per patient/year was €70.08€, ranging from €7.58 for amitriptyline to €396.66 for agomelatine. Out-of-pocket costs represented 6.09% of total expenditures, with a median copayment of €2.78 per patient. The 19.87% [95% CI 19.52-20.22)] of patients were non-adherent to antidepressants, costing €3.9 million (13.30% of total antidepressant costs). Non-adherence rates exceeded 20% for the tricyclic antidepressants, fluoxetine (23.53%), fluvoxamine (22.42%), and vortioxetine (20.58%). Venlafaxine (14.64%) and citalopram (14.88%) had the lowest non-adherence rates, of less than 15%. The median cost of non-adherent medications per patient/year was €18.96 and ranged from €2.50 (amitriptyline) to €133.42 (agomelatine). Conclusion: Reducing non-adherence to antidepressants is critical to improving clinical and economic outcomes. The implementation of interventions and standardized measures, including early detection indicators, is urgently needed. Antidepressants differ with regard to non-adherence and their cost, and this should be considered when prescribing this medication. The Medication Possession Ratio could be used by the healthcare provider and clinician to identify non-adherent patients for monitoring, and to take necessary corrective actions.

Comparative efficacy of various exercise interventions on depression in older adults with mild cognitive impairment: A systematic review and network meta-analysis

BACKGROUND

Exercise is a promising nonpharmacological treatment for improving depression in older adults with MCI, but it is unclear which exercises are most effective. The objectives of this study were to compare and rank the effectiveness of various exercise interventions for depression in mild cognitive impairment (MCI) and to investigate the effects of exercise on depression.

METHODS

The PRISMA-NMA guidelines were applied to the development and reporting of review criteria. The Cochrane Library, Web of Science, PsycINFO, PubMed, EMBASE, CINAHL, and Scopus databases were systematically searched by combining search terms for randomized controlled trial studies (RCTs) published in English from individual databases with the earliest available date set to March 10, 2023. Two evaluators independently selected and evaluated eligible studies of changes in depression in older adults with MCI after an exercise intervention. A protocol for this systematic review was registered in PROSPERO (Registration number: CRD42022377052).

RESULTS

A network meta-analysis was conducted on 15 eligible RCTs consisting of 4271 subjects, including aerobic (n = 6), mind-body (n = 6) and multicomponent (n = 3) exercise trials. Compared to controls, mind-body exercise showed the strongest improvement in depressive symptoms (SMD = -0.63, 95% CI: -1.13, -0.14), followed by aerobic (SMD = -0.57, 95% CI: -0.88, -0.26) and multicomponent exercise (SMD = -0.53, 95% CI: -1.02, -0.03). Notably, there were no statistically significant differences between exercise types: aerobic vs. mind-body (SMD = 0.06, 95% PrI: -0.71, 0.84), multicomponent vs. mind-body (SMD = 0.11, 95% PrI: -0.75, 0.97), or multicomponent vs. aerobic (SMD = 0.04, 95% PrI: -0.771, 0.86).

CONCLUSIONS

In this review, we found that mind-body exercise was most effective when compared to conventional controls and that multiple exercise modalities (aerobic, mind-body, and multicomponent exercise) had beneficial and comparable effects in reducing depressive states in older adults with MCI. These findings may guide clinical geriatric stakeholders and allied health professionals in providing more scientifically optimal exercise prescriptions for older adults with MCI. In the future, more high-quality, long-term clinical trials are needed to support the exploration of longer-term dynamic effects.

A framework for understanding sources of bias in medication adherence research

The sources of bias in medication adherence research have not been comprehensively explored. We aimed to identify biases expected to affect adherence research and to develop a framework for mapping these onto the phases of adherence (initiation, implementation and discontinuation). A literature search was conducted, key papers were reviewed and a Catalogue of Bias was consulted. The specific biases related to adherence measurement and metrics were mapped onto the phases of adherence using a tabular matrix. Twenty-three biases were identified, of which 11 were specifically relevant to adherence measures and metrics. The mapping framework showed differences in the numbers and types of biases associated with each measure and metric while highlighting those common to many adherence study designs (e.g., unacceptability bias and apprehension bias). The framework will inform the design of adherence studies and the development of risk of bias tools for adherence research.

Patient Experience of Digitalized Follow-up of Antidepressant Treatment in Psychiatric Outpatient Care: Qualitative Analysis

BACKGROUND

Nonadherence to pharmaceutical antidepressant treatment is common among patients with depression. Digitalized follow-up (ie, self-monitoring systems through mobile apps) has been suggested as an effective adjunct to conventional antidepressant treatment to increase medical adherence, improve symptoms of depression, and reduce health care resource use.

OBJECTIVE

The aim of this study was to determine patients' experience of digitalized follow-up using a mobile app as an adjunct to treatment concurrent with a new prescription, a change of antidepressant, or a dose increase.

METHODS

This was a qualitative, descriptive study. Patients at 2 psychiatric outpatient clinics were recruited at the time of changing antidepressant medication. After using a mobile app (either a commercial app or a public app) for 4-6 weeks with daily registrations of active data, such as medical intake and questions concerning general mental health status, individual semistructured interviews were conducted. Recorded data were transcribed and then analyzed using content analysis.

RESULTS

In total, 13 patients completed the study. The mean age was 35 (range 20-67) years, 8 (61.5%) were female, and all reported high digital literacy. Overall, the emerging themes indicated that the patients found the digital app to be a valuable adjunct to antidepressant treatment but with potential for improvement. Both user adherence and medical adherence were positively affected by a daily reminder and the app's ease of use. User adherence was negatively affected by the severity of depression. The positive experience of visually presented data as graphs was a key finding, which was beneficial for self-awareness, the patient-physician relationship, and user adherence. Finally, the patients had mixed reactions to the app's content and requested tailored content.

CONCLUSIONS

The patients identified several factors addressing both medical adherence and user adherence to a digital app when using it for digitalized follow-up concurrent with the critical time related to changes in antidepressant medication. The findings highlight the need for rigorous evidence-based empirical studies to generate sustainable research results.

Relations between clinical characteristics and cognitive deficits among adult patients diagnosed with major depressive disorder

OBJECTIVE

The present study examined the relations between clinical characteristics and cognitive deficits in adult patients with major depressive disorder (MDD) from a local outpatient psychiatric clinic in Malaysia.

METHODS

The present sample included 110 participants aged 20-60 years old. Participants were invited to provide their information on sociodemographic variables (age, gender, and educational level) and clinical characteristics (age at onset of depression and duration of illness) and to complete a series of cognitive performance measures including the Trail Making Tests A (psychomotor speed) and B (executive function), the Digit Symbol Substitution Test (attention), and the Auditory Verbal Learning Test (immediate free recall, acquisition phase, and delayed recall). The Mini International Neuropsychiatric Interview Version 6.0 was used to confirm the diagnosis of MDD and the Montgomery-Åsberg Depression Rating Scale was used to assess illness severity.

RESULTS

At the bivariate level, relations of age and educational level to all cognitive deficit domains were significant. At the multivariate level, only educational level and illness severity consistently and significantly predicted all cognitive deficits domains.

CONCLUSIONS

Therapeutic modalities should be individualised whilst considering the impacts of cognitive deficits in an attempt to prevent further deterioration in psychosocial functioning of MDD patients.KEY POINTSCognitive deficits are an elemental component of Major Depressive Disorder (MDD) persisting during a current major depressive episode or during remission, altering individuals' ability to process information and changes the way they perceive and interact with the environment.Cognitive deficits in MDD are evident among the upper-middle income groups in South-Eastern Asian countries warranting more local research as such deficits could lead to functional decline and work performance such as absenteeism and presenteeism.Therapeutic modalities should be individualised by taking the impacts of cognitive deficits into consideration to promote psychosocial functioning of MDD patients.

Solid implantable devices for sustained drug delivery

Implantable drug delivery systems (IDDS) are an attractive alternative to conventional drug administration routes. Oral and injectable drug administration are the most common routes for drug delivery providing peaks of drug concentrations in blood after administration followed by concentration decay after a few hours. Therefore, constant drug administration is required to keep drug levels within the therapeutic window of the drug. Moreover, oral drug delivery presents alternative challenges due to drug degradation within the gastrointestinal tract or first pass metabolism. IDDS can be used to provide sustained drug delivery for prolonged periods of time. The use of this type of systems is especially interesting for the treatment of chronic conditions where patient adherence to conventional treatments can be challenging. These systems are normally used for systemic drug delivery. However, IDDS can be used for localised administration to maximise the amount of drug delivered within the active site while reducing systemic exposure. This review will cover current applications of IDDS focusing on the materials used to prepare this type of systems and the main therapeutic areas of application.

Psychiatric Patients' Perceived Health Control and Reactance: Implications for Medication Adherence

Adherence to prescribed treatment is a major challenge in psychiatry, with non-adherence rates estimated to be as high as 50%. Two factors that have been suggested to influence medication adherence in psychiatric patients are perceived health control and psychological reactance. Perceived health control refers to the belief that one can control their own health outcomes, while psychological reactance refers to the negative response that occurs when individuals perceive their freedom or autonomy to be threatened. The aim of this review is to explore the possible relevance and interaction of perceived health control and psychological reactance in the adherence of psychiatric patients to their treatment. Several studies have suggested that higher levels of perceived health control are associated with better medication adherence, while higher levels of psychological reactance are associated with poorer adherence. Moreover, it has been suggested that patients with high levels of perceived health control may be more likely to experience psychological reactance if they feel that their autonomy is threatened by the treatment regimen. Taken together, these findings suggest that perceived health control and psychological reactance may interact to influence medication adherence in psychiatric patients. Future research could explore ways to enhance patients' perceived health control while minimizing psychological reactance in order to improve treatment adherence in this population.

Real-World Evidence of Aripiprazole Tablets with Sensor: Treatment Patterns and Impacts on Psychiatric Healthcare Resource Utilization

Purpose

Maintaining adherence to antipsychotic (AP) medication is often challenging. Aripiprazole tablets with sensor (AS) contain an ingestible event marker and communicate with wearable patches and a smartphone app to provide objective medication ingestion data. This study evaluated real-world treatment patterns of AS usage and its impact on psychiatric healthcare resource utilization (HCRU).

Patients and Methods

This retrospective, observational cohort study identified individuals who initiated AS between 1/1/2019 and 6/30/2020 with 3 months baseline and 6 months of follow-up data using a commercial medical and pharmacy claims database (Clarivate). Controls were propensity score-matched (4:1) to AS initiators based on age (±2 years), sex, diagnosis (major depressive disorder [MDD], schizophrenia, bipolar I disorder [BP-I], other), insurance, and baseline oral AP use (yes/no). Days of AP supply were evaluated using a general regression model. The frequency of psychiatric HCRU during follow-up was compared between groups using a zero-inflated regression model.

Results

Most AS initiators were diagnosed with MDD (61.2%) and were women (61.2%); mean age was 37.7 years (standard deviation: 14.1). Most AS initiators (53.1%) continued treatment for >60 days (mean days of supply = 77). After adjusting for covariates, AS initiators had 41% more days of AP supply during follow-up compared with controls (P <0.0001) and significantly lower adjusted odds ratios (ORs) for psychiatric outpatient visits (adjusted OR = 0.80; P <0.05), emergency department visits (adjusted OR = 0.11; P <0.05), inpatient visits (adjusted OR = 0.42; P <0.05), and other medical services (adjusted OR = 0.25; P <0.05).

Conclusion

Participants who implemented AS had significantly more days of AP supply and fewer psychiatric care visits. These preliminary results suggest AS usage can help build regular medication-taking habits and holds promise for reducing psychiatric HCRU. Additional studies with larger sample sizes are warranted to inform clinical practice and coverage decisions.

Income-related disparities in Medicare advantage behavioral health care quality

OBJECTIVE

To inform efforts to improve equity in the quality of behavioral health care by examining income-related differences in performance on HEDIS behavioral health measures in Medicare Advantage (MA) plans.

DATA SOURCES AND STUDY SETTING

Reporting Year 2019 MA HEDIS data were obtained and analyzed.

STUDY DESIGN

Logistic regression models were used to estimate differences in performance related to enrollee income, adjusting for sex, age, and race-and-ethnicity. Low-income enrollees were identified by Dual Eligibility for Medicare and Medicaid or receipt of the Low-Income Subsidy (DE/LIS). Models without and with random effects for plans were used to estimate overall and within-plan differences in measure performance. Heterogeneity by race-and-ethnicity in the associations of low-income with behavioral health quality were examined using models with interaction terms.

DATA COLLECTION/EXTRACTION METHODS

Data were included for all MA contracts in the 50 states and the District of Columbia that collect HEDIS data.

PRINCIPAL FINDINGS

For six of the eight measures, enrollees with DE/LIS coverage were more likely to have behavioral health conditions that qualify for HEDIS measures than higher income enrollees. In mixed-effects logistic regression models, DE/LIS coverage was associated with statistically significantly worse overall performance on five measures, with four large (>5 percentage point) differences (-7.5 to -11.1 percentage points) related to follow-up after hospitalization and avoidance of drug-disease interactions. Where the differences were large, they were primarily within-plan rather than between-plan. Interactions between DE/LIS and race-and-ethnicity were statistically significant (p < 0.05) for all measures; income-based quality gaps were larger for White enrollees than for Black or Hispanic enrollees.

CONCLUSIONS

Low income is associated with lower performance on behavioral health HEDIS measures in MA, but these associations differ across racial-and-ethnic groups. Improving care integration and addressing barriers to care for low-income enrollees may improve equity across income levels in behavioral health care.

Knowledge and attitudes on medication adherence and residual symptoms in individuals with depression: a survey at a University Hospital

BACKGROUND

Depression is a common disease and the relapse of depression can cause functional impairment. Good medication adherence and relapse prevention should be targeted to achieve normal functioning. This study aimed to evaluate the levels of knowledge, attitude toward depression, and medication adherence among individuals with depression.

METHODS

A cross-sectional study surveyed Thai individuals with depression at the psychiatric outpatient clinic of Songklanagarind Hospital; from April to August 2022. The questionnaires inquired about:1) demographic information, 2) knowledge and attitude toward depression questionnaire, 3) the medication adherence scale in Thais (MAST), 4) the Patient Health Questionnaire-9 (PHQ-9), 5) the stigma questionnaire, 6) a patient-doctor relationship questionnaire (PDRQ-9), and 7) the Revised Thai Multidimensional Scale of Perceived Social Support (rMSPSS). All data were analyzed using descriptive statistics. Chi-square or Fisher's exact test, and Wilcoxon rank sum test were used.

RESULTS

Of all 264 participants, the majority of them were female (78.4%). The overall mean age was 42.3 ± 18.3 years. Most participants had good knowledge and a positive attitude regarding any relationship problems, childhood trauma or bad memories, or having a chemical imbalance in the brain as one of the main causes that result in depression (86.4, 82.6, 77.3%, respectively). They disagreed with common stereotypical assumptions towards individuals with depression. Most of them had good medication adherence (97.0%), low or no level of stigma (92.5%), high perceived social support from family (64.4%), and good doctor-patient relationships (82.2%). Due to most participants reporting having good medication adherence, then an attempt to indicate the factors associated with medication adherence could not be established in this study. This study found that individuals reporting residual symptoms of depression had higher levels of knowledge and perceived stigma, but lower levels of family support compared to those without residual symptoms.

CONCLUSION

Most participants reported good knowledge and a positive attitude toward depression. They exhibited good medication adherence, a low level of stigma, and a high level of social support. This study revealed a correlation between the presence of residual symptoms of depression and increased levels of knowledge, perceived stigma, and reduced family support.

Relationship of insight to neurocognitive function and risk of recurrence in depression: A naturalistic follow-up study

Introduction

Major depressive disorder (MDD) is a highly recurrent mental illness accompanied by impairment of neurocognitive function. Lack of insight may affect patients’ motivation to seek treatment, resulting in poor clinical outcomes. This study explores the relationship of insight to neurocognitive function and the risk of recurrence of depressive episodes in patients with MDD.

Methods

Demographic, clinical variables, and neurocognitive function measured with Intra-Extra Dimensional Set Shift (IED) from the Cambridge Neuropsychological Test Automated Battery (CANTAB) were collected from 277 patients with MDD. Among them, 141 participants completed a follow-up visit within 1–5 years. Insight was measured using the 17-item Hamilton Depression Rating Scale (HAM-D). To explore the factors associated with recurrence, binary logistic regression models were used.

Results

Patients with MDD, without insight, had significantly higher total and factor scores (anxiety/somatization, weight, retardation, and sleep) on the HAM-D and worse performance in the neurocognition task, compared to those with insight. Furthermore, binary logistic regression revealed that insight and retardation can predict recurrence.

Conclusion

Lack of insight is associated with recurrence and impaired cognitive flexibility in patients with MDD.

Protocol for the systematic review and meta-analysis of factors associated with non-adherence to antidepressants in depressive disorders in those more than 18 years of age

OBJECTIVE

We have developed a protocol for the systematic review and meta-analysis of the factors associated with nonadherence to antidepressants in depressive patients more than 18 years of age.

METHODS

We will search articles with the databases PubMed- Medline, Scopus, Embase and PsychINFO. All the published literature reporting factors associated with nonadherence to antidepressants in depressive disorders in patients more than 18 years of age and fulfilling all the eligibility criteria till October 2022 will be included. The data will then be extracted and examined to be included in the systematic review. Finally, we will conduct meta-analysis for factors associated with non-adherence.

CONCLUSION

We will do extensive search on the proposed topic within the available literature and come up with a robust review of factors associated with nonadherence to antidepressants in patients age more than 18 years globally. The evidence generated would assist in designing interventions to address non-adherence in this group of patients leading to better productivity and quality of life.

The Role of Lifestyle on Adherence to Treatment in a Sample of Patients with Unipolar and Bipolar Depression

Introduction: Poor adherence to treatment is currently stated to be one of the causes of depression relapse and recurrence. The aim of the present study is to assess potential differences in terms of clinical and lifestyle features related to adherence to treatment in a sample of patients with unipolar and bipolar depression. Methods: One hundred and eight patients with a diagnosis of unipolar or bipolar depressive episode were recruited from January 2021 to October 2022. Adherence to psychopharmacological treatment was assessed using the clinician rating scale. Descriptive and association analyses were performed to compare subgroups based on adherence to treatment. Results: Lower levels of adherence to treatment were associated with fewer years of education, work impairment, manic prevalent polarity lifetime, and greater comorbidity with alcohol and drug abuse. The majority of patients with positive adherence did not report any hospitalization and involuntary commitment lifetime. Conclusions: Patients with a positive treatment adherence showed significant differences in terms of lifestyle and clinical features compared to non-adherent patients. Our results may help to identify patients more likely to have poor medication adherence, which seem to lead to a worse disease course and quality of life.

Telemedicine as a Tool to Improve Medicine Adherence in Patients with Affective Disorders - A Systematic Literature Review

Affective disorders are a common psychological impairment. A major problem with respect to treatment is medication non-adherence. eHealth interventions are already widely used in the treatment of patients living with affective disorders. The aim of this systematic literature review is to obtain the current scientific evidence to eHealth as a tool to improve medication adherence in patients with affective disorders. A systematic search was performed across PubMed, Cochrane Library, Web of Science and PsycInfo. Studies in English and German published between 2007 and 2020 were included. The review followed the PRISMA guidelines and were performed with the CADIMA online tool. A total of 17 articles were included in this review. Eleven studies were randomized controlled trials, two were controlled clinical trials, and four had a pre-/post-design. Three different types of interventions could be identified: internet-based self-management programs (n=4), multi-faceted interventions addressing different dimensions of medication adherence (n=4), and single-faceted interventions (n=9) comprising four mobile interventions and five telehealth interventions. Eleven interventions addressed patients with (comorbid) depressions and six addressed patients with bipolar disorders. Six interventions showed a statistically significant positive effect on medication adherence. None of the studies showed a statistically significant negative effect. All interventions which had a statistically significant positive effect on medication adherence involved personal contacts between therapists and patients. All included eHealth interventions are at least as effective as control conditions and seems to be effective for patients with depression as well as with bipolar disorders. Personal contacts seem to improve the effectiveness of eHealth interventions. eHealth interventions are an effective way to improve medication adherence in patients with affective disorders. In rural or underserved regions, eHealth can supplement usual care interventions on medication adherence by expanding access. More analyses are needed in order to understand determinants for the effectiveness of eHealth interventions on medication adherence enhancement.

Barriers and Facilitating Factors of Adherence to Antidepressant Treatments: An Exploratory Qualitative Study with Patients and Psychiatrists

This study examines the experiences and expectations of patients with depressive disorders regarding the disease and different antidepressants, as well as examining the barriers and facilitating factors that could affect their adherence to medications. An exploratory qualitative study was carried out. The study involved two focus groups made up of patients and caregivers and six semi-structured interviews with psychiatrists. In both cases, the participants were selected by intentional theoretical sampling, seeking maximum significance variation of social types. Prejudice about the side effects of medication was relevant. The importance of patients being well informed about the disease/treatments was noteworthy. The stigmatization of antidepressants by patients was identified as a barrier to medication adherence. The involvement of family members and the motivation of patients to be actively involved in the process to recover from the disease were identified as facilitating factors. The work carried out suggests the need for patients to have rigorous information about the disease/treatment to reduce the possible prejudices generated by beliefs. Maintaining greater contact and monitoring of patients/caregivers to help therapeutic adherence in patients with depressive disorders was also identified as being of great importance.

Pharmacogenomic Testing for Major Depression: A Qualitative Study of the Perceptions of People with Lived Experience and Professional Stakeholders

OBJECTIVES

With increasing evidence for the clinical utility of pharmacogenomic (PGx) testing for depression, there is a growing need to consider issues related to the clinical implementation of this testing. The perspectives of key stakeholders (both people with lived experience [PWLE] and providers) are critical, but not frequently explored. The purpose of this study was to understand how PWLE and healthcare providers/policy experts (P/HCPs) perceive PGx testing for depression, to inform the consideration of clinical implementation within the healthcare system in British Columbia (BC), Canada.

METHODS

We recruited two cohorts of participants to complete individual 1-h, semi-structured interviews: (a) PWLE, recruited from patient and research engagement networks and organizations and (b) P/HCPs, recruited via targeted invitation. Interviews were audiotaped, transcribed verbatim, de-identified, and analysed using interpretive description.

RESULTS

Seventeen interviews were completed with PWLE (7 with experience of PGx testing for depression; 10 without); 15 interviews were completed with P/HCPs (family physicians, psychiatrists, nurses, pharmacists, genetic counsellors, medical geneticists, lab technologists, program directors, and insurers). Visual models of PWLE's and P/HCP's perceptions of and attitudes towards PGx testing were developed separately, but both were heavily influenced by participants' prior professional and/or personal experiences with depression and/or PGx testing. Both groups expressed a need for evidence and numerous considerations for the implementation of PGx testing in BC, including the requirement for conclusive economic analyses, patient and provider education, technological and clinical support, local testing facilities, and measures to ensure equitable access to testing.

CONCLUSIONS

While hopeful about the potential for therapeutic benefit from PGx testing, PWLE and P/HCPs see the need for robust evidence of utility, and BC-wide infrastructure and policies to ensure equitable and effective access to PGx testing. Further research into the accessibility, effectiveness, and cost-effectiveness of various implementation strategies is needed to inform PGx testing use in BC.

Mobile App to Enhance Patient Activation and Patient-Provider Communication in Major Depressive Disorder Management: Collaborative, Randomized Controlled Pilot Study

BACKGROUND

Enhanced patient-provider engagement can improve patient health outcomes in chronic conditions, including major depressive disorder (MDD).

OBJECTIVE

We evaluated the impact of a digitally enabled care mobile app, Pathway, designed to improve MDD patient-provider engagement. Patients used a mobile interface to assess treatment progress and share this information with primary care providers (PCPs).

METHODS

In this 52-week, real-world effectiveness and feasibility study conducted in primary care clinics, 40 patients with MDD who were recently prescribed antidepressant monotherapy were randomized to use a mobile app with usual care (20/40, 50%) or usual care alone (20/40, 50%). Patients in the app arm engaged with the app daily for 18 weeks; a report was generated at 6-week intervals and shared with the PCPs to facilitate shared treatment decision-making discussions. The patients discontinued the app at week 18 and were followed through year 1. Coprimary outcome measures, assessed via research visits, included change from baseline in the 13-item Patient Activation Measure (PAM-13) and 7-item Patient-Provider Engagement Scale scores at week 18. Additional outcome measures included depression severity (9-item Patient Health Questionnaire [PHQ-9]) and cognitive symptoms (5-item Perceived Deficits Questionnaire-Depression).

RESULTS

All 37 patients (app arm: n=18, 49%; usual care arm: n=19, 51%) who completed the 18-week follow-up period (n=31, 84% female, mean age 36, SD 11.3 years) had moderate to moderately severe depression. Improvements in PAM-13 and PHQ-9 scores were observed in both arms. Increases in PAM-13 scores from baseline to 18 weeks were numerically greater in the app arm than in the usual care arm (mean 10.5, SD 13.2 vs mean 8.8, SD 9.4; P=.65). At 52 weeks, differences in PAM-13 scores from baseline demonstrated significantly greater improvements in the app arm than in the usual care arm (mean 20.2, SD 17.7 vs mean 1.6, SD 14.2; P=.04). Compared with baseline, PHQ-9 scores decreased in both the app arm and the usual care arm at 18 weeks (mean 7.8, SD 7.2 vs mean 7.0, SD 6.5; P=.73) and 52 weeks (mean 9.5, SD 4.0 vs mean 4.7, SD 6.0; P=.07). Improvements in 7-item Patient-Provider Engagement Scale and WHO-5 scores were observed in both arms at 18 weeks and were sustained through 52 weeks in the app arm. Improvements in WHO-5 scores at 52 weeks were significantly greater in the app arm than in the usual care arm (41.5 vs 20.0; P=.02).

CONCLUSIONS

Patients with MDD will engage with a mobile app designed to track treatment and disease progression. PCPs will use the data generated as part of their assessment to inform clinical care. The study results suggest that an app-enabled clinical care pathway may enhance patient activation and benefit MDD management.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03242213; https://clinicaltrials.gov/ct2/show/NCT03242213.

Association between childhood trauma and medication adherence among patients with major depressive disorder: the moderating role of resilience

BACKGROUND

Suboptimal medication adherence is a major reason for failure in the management of major depressive disorder (MDD), childhood trauma might be an essential risk factor of suboptimal medication adherence. This study aimed to comprehensively explore the associations between different types of childhood trauma and medication adherence among patients with MDD, and to test whether resilience has moderating effects on the foregoing associations.

METHODS

Participants were from the Depression Cohort in China (ChiCTR registry number 1900022145), 282 MDD patients with completed both baseline and 12-weeks follow-up investigations were included in this study. The diagnosis of MDD was assessed by trained psychiatrists using the Mini-International Neuropsychiatric Interview (M.I.N.I.). Childhood trauma was evaluated using the Childhood Trauma Questionnaire-28 item Short Form (CTQ-SF), and resilience was evaluated using the Connor-Davidson Resilience Scale (CD-RISC). Demographic characteristics, depression symptoms, anxiety symptoms, suicidal ideation, suicidal attempt, insomnia symptoms, and painful somatic symptoms were also investigated. Participants were divided into groups of optimal and suboptimal adherence based on their Medication Adherence Rating Scale scores. Logistic regression and stratified analyses were performed.

RESULTS

A total of 234 participants (83%) reported suboptimal medication adherence. After adjusting for covariates, CTQ total scores (AOR = 1.03, 95%CI = 1.01-1.06), CTQ measures of sexual abuse (AOR = 1.17, 95%CI = 1.01-1.37), and CTQ measures of physical neglect (AOR = 1.12, 95%CI = 1.02-1.23) were all associated with an increased likelihood of suboptimal adherence. There were significant moderating effects of resilience on the associations of childhood trauma (P = 0.039) and physical neglect (P = 0.034) with medication adherence. The stratification analyses showed that CTQ total scores and CTQ measures of physical neglect were independently associated with an increased risk of suboptimal adherence among patients with MDD with low-resilience or moderate-resilience, while not significantly associated with suboptimal adherence in those with high-resilience.

CONCLUSION

Childhood trauma was a significant risk factor of suboptimal adherence among patients with MDD, and resilience moderated the foregoing association. Obtaining a history of childhood trauma and assessing resilience may help identify patients with suboptimal adherence when providing MDD pharmacotherapy. Psychiatrists may consider enhancing resilience to cope with the adverse effects of childhood trauma on medication adherence.

Vortioxetine for Major Depressive Disorder in Adolescents: 12-Week Randomized, Placebo-Controlled, Fluoxetine-Referenced, Fixed-Dose Study

OBJECTIVE

To evaluate the efficacy and safety of vortioxetine in adolescents with major depressive disorder (MDD).

METHOD

After 4 weeks of single-blind lead-in treatment with a Brief Psychosocial Intervention (BPI) plus placebo, patients (aged 12-17 years) with MDD (DSM-5) who did not meet response criteria (Children's Depression Rating Scale-Revised [CDRS-R]; total score ≥40 plus <40% reduction and a Parent Global Assessment score >2) were randomized 1:1:1:1 to 8 weeks of BPI plus double-blind treatment with vortioxetine 10 mg, vortioxetine 20 mg, fluoxetine 20 mg, or placebo. The primary endpoint was change from randomization in CDRS-R total score at week 8; the primary comparison was the average effect of 2 vortioxetine doses vs placebo.

RESULTS

Of 784 patients enrolled in the lead-in, 616 were randomized. At week 8, the mean change in CDRS-R total score averaged for vortioxetine doses was -18.01 (SE = 0.98) and the mean difference vs placebo was 0.21 (P = .878; not significant). For fluoxetine, the mean change in CDRS-R total score was -21.95 and the mean difference vs placebo was -3.73 (P = .015). Treatment-emergent adverse events occurring in ≥5% of patients in either vortioxetine arm and at least twice more frequently than placebo were nausea, headache, vomiting, and dizziness.

CONCLUSION

Patients in all groups showed reduction in CDRS-R scores by the end of the study, with no difference between combined doses of vortioxetine and placebo. The primary endpoint was not met, thereby rendering the study negative. The overall favorable safety profile of vortioxetine in an adolescent patient population was consistent with that seen in adults.

CLINICAL TRIAL REGISTRATION INFORMATION

Active Reference (Fluoxetine) Fixed-Dose Study of Vortioxetine in Paediatric Patients Aged 12 to 17 Years With Major Depressive Disorder (MDD); http://clinicaltrials.gov; NCT02709746.

Non-adherence to psychiatric medication in adults experiencing homelessness is associated with incurred concussions

This study investigated the relationship between concussions and medication adherence among 247 adults experiencing homelessness in Oklahoma City, Oklahoma, who were prescribed medication for a psychiatric disorder. Participants were asked whether they had “ever experienced a blow to the head that caused a concussion,” and medication adherence was measured by asking participants whether they had taken their psychiatric medication yesterday. The data were analyzed using univariate and multivariable logistic regressions. Results showed that more than half of the sample had a concussion history (61.9%), and homeless adults with a concussion history had higher odds of non-adherence to psychiatric medications compared with those who reported no concussion history [OR = 2.13 (95% CI = 1.08, 4.18)]. Findings suggest that medication non-adherence is associated with incurred concussions. Raising awareness among service providers of the relationship between traumatic brain injury and medication adherence may increase efforts to improve adherence in this underserved population.

Effectiveness of interventions to improve medication adherence in adults with depressive disorders: a meta-analysis

BACKGROUND

Non-adherence to medication is a major obstacle in the treatment of depressive disorders. We systematically reviewed the literature to evaluate the effectiveness of interventions aimed at improving adherence to medication among adults with depressive disorders with emphasis on initiation and implementation phase.

METHODS

We searched Medline, EMBASE, The Cochrane Central Register of Controlled Trials (CENTRAL), PsycINFO, Social Science Citation Index and Science Citation Index for randomized or non-randomized controlled trials up to January 2022. Risk of bias was assessed using the criteria of the Cochrane Collaboration. Meta-analyses, cumulative and meta-regression analyses for adherence were conducted.

RESULTS

Forty-six trials (n = 24,324) were included. Pooled estimate indicates an increase in the probability of adherence to antidepressants at 6 months with the different types of interventions (OR 1.33; 95% CI: 1.09 to 1.62). The improvement in adherence is obtained from 3 months (OR 1.62, 95% CI: 1.25 to 2.10) but it is attenuated at 12 months (OR 1.25, 95% CI: 1.02 to 1.53). Selected articles show methodological differences, mainly the diversity of both the severity of the depressive disorder and intervention procedures. In the samples of these studies, patients with depression and anxiety seem to benefit most from intervention (OR 2.77, 95% CI: 1.74 to 4.42) and collaborative care is the most effective intervention to improve adherence (OR 1.88, 95% CI: 1.40 to 2.54).

CONCLUSIONS

Our findings indicate that interventions aimed at improving adherence to medication among adults with depressive disorders are effective up to six months. However, the evidence on the effectiveness of long-term adherence is insufficient and supports the need for further research efforts.

TRIAL REGISTRATION

International Prospective Register for Systematic Reviews (PROSPERO) number: CRD42017065723 .

A systematic review and meta-analysis on impact of suboptimal use of antidepressants, bisphosphonates, and statins on healthcare resource utilisation and healthcare cost

BACKGROUND

Depression, osteoporosis, and cardiovascular disease impose a heavy economic burden on society. Understanding economic impacts of suboptimal use of medication due to nonadherence and non-persistence (non-MAP) for these conditions is important for clinical practice and health policy-making.

OBJECTIVE

This systematic literature review aims to assess the impact of non-MAP to antidepressants, bisphosphonates and statins on healthcare resource utilisation and healthcare cost (HRUHC), and to assess how these impacts differ across medication classes.

METHODS

A systematic literature review and an aggregate meta-analysis were performed. Using the search protocol developed, PubMed, Cochrane Library, ClinicalTrials.gov, JSTOR and EconLit were searched for articles that explored the relationship between non-MAP and HRUHC (i.e., use of hospital, visit to healthcare service providers other than hospital, and healthcare cost components including medical cost and pharmacy cost) published from November 2004 to April 2021. Inverse-variance meta-analysis was used to assess the relationship between non-MAP and HRUHC when reported for at least two different populations.

RESULTS

Screening 1,123 articles left 10, seven and 13 articles on antidepressants, bisphosphonates, and statins, respectively. Of those, 27 were rated of good quality, three fair and none poor using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. In general, non-MAP was positively associated with HRUHC for all three medication classes and most prominently for bisphosphonates, although the relationships differed across HRUHC components and medication classes. The meta-analysis found that non-MAP was associated with increased hospital cost (26%, p = 0.02), outpatient cost (10%, p = 0.01), and total medical cost excluding pharmacy cost (12%, p<0.00001) for antidepressants, and increased total healthcare cost (3%, p = 0.07) for bisphosphonates.

CONCLUSIONS

This systematic literature review is the first to compare the impact of non-MAP on HRUHC across medications for three prevalent conditions, depression, osteoporosis and cardiovascular disease. Positive relationships between non-MAP and HRUHC highlight inefficiencies within the healthcare system related to non-MAP, suggesting a need to reduce non-MAP in a cost-effective way.

Electroacupuncture plus moxibustion for major depressive disorder: A randomized, sham-controlled, pilot clinical trial

BACKGROUND

The first treatment option for major depressive disorder (MDD) is antidepressants, however, there is substantial demand for alternative therapies due to its low compliance and remission rates. This study was aimed to explore the effectiveness, safety, and feasibility of electroacupuncture plus moxibustion therapy for MDD.

METHODS

Thirty adults with MDD were randomly assigned to the treatment group (TG) or control group (CG). The TG was treated with electroacupuncture plus moxibustion, and the CG received sham interventions at non-acupoints for 8 weeks. The primary outcome measure was the intergroup difference of the mean change of total score of the Hamilton rating scale for depression (HRSD) between baseline and week 9. Secondary outcome measures were Beck's depression inventory, insomnia severity index, the state-trait anxiety inventory, the EuroQol-5 dimension index, the measure yourself medical outcome profile version 2, and frontal alpha asymmetry measured by electroencephalography. Adverse events (AEs) were monitored for safety assessment.

RESULTS

The primary outcome measure was not significantly different between the two groups (p=0.2641), although the scores of HRSD in both groups improved significantly after treatment. No significant difference was identified between groups in secondary outcome measures. The incidence of AE was not significantly different between the two groups (p=0.1067).

CONCLUSION

A clinical trial using electroacupuncture plus moxibustion for MDD seems feasible. However, further studies with the larger size, adopting ideal controls are warranted to provide a confirmative conclusion to the efficacy and safety of electroacupuncture plus moxibustion for MDD.

TRIAL REGISTRATION

The protocol was registered at Korean Clinical Trial Registry (CRIS-KCT0001810).

3D-printed implantable devices with biodegradable rate-controlling membrane for sustained delivery of hydrophobic drugs

Implantable drug delivery systems offer an alternative for the treatments of long-term conditions (i.e. schizophrenia, HIV, or Parkinson’s disease among many others). The objective of the present work was to formulate implantable devices loaded with the model hydrophobic drug olanzapine (OLZ) using robocasting 3D-printing combined with a pre-formed rate controlling membrane. OLZ was selected as a model molecule due to its hydrophobic nature and because is a good example of a molecule used to treat a chronic condition schizophrenia. The resulting implants consisted of a poly(ethylene oxide) (PEO) implant coated with a poly(caprolactone) (PCL)-based membrane. The implants were loaded with 50 and 80% (w/w) of OLZ. They were prepared using an extrusion-based 3D-printer from aqueous pastes containing 36–38% (w/w) of water. The printing process was carried out at room temperature. The resulting implants were characterized by using infrared spectroscopy, scanning electron microscopy, thermal analysis, and X-ray diffraction. Crystals of OLZ were present in the implant after the printing process. In vitro release studies showed that implants containing 50% and 80% (w/w) of OLZ were capable of providing drug release for up to 190 days. On the other hand, implants containing 80% (w/w) of OLZ presented a slower release kinetics. After 190 days, total drug release was ca. 77% and ca. 64% for implants containing 50% and 80% (w/w) of OLZ, respectively. The higher PEO content within implants containing 50% (w/w) of OLZ allows a faster release as this polymer acts as a co-solvent of the drug.

Antioxidant Biomolecules and Their Potential for the Treatment of Difficult-to-Treat Depression and Conventional Treatment-Resistant Depression

Major depression is a devastating disease affecting an increasing number of people from a young age worldwide, a situation that is expected to be worsened by the COVID-19 pandemic. New approaches for the treatment of this disease are urgently needed since available treatments are not effective for all patients, take a long time to produce an effect, and are not well-tolerated in many cases; moreover, they are not safe for all patients. There is solid evidence showing that the antioxidant capacity is lower and the oxidative damage is higher in the brains of depressed patients as compared with healthy controls. Mitochondrial disfunction is associated with depression and other neuropsychiatric disorders, and this dysfunction can be an important source of oxidative damage. Additionally, neuroinflammation that is commonly present in the brain of depressive patients highly contributes to the generation of reactive oxygen species (ROS). There is evidence showing that pro-inflammatory diets can increase depression risk; on the contrary, an anti-inflammatory diet such as the Mediterranean diet can decrease it. Therefore, it is interesting to evaluate the possible role of plant-derived antioxidants in depression treatment and prevention as well as other biomolecules with high antioxidant and anti-inflammatory potential such as the molecules paracrinely secreted by mesenchymal stem cells. In this review, we evaluated the preclinical and clinical evidence showing the potential effects of different antioxidant and anti-inflammatory biomolecules as antidepressants, with a focus on difficult-to-treat depression and conventional treatment-resistant depression.

Prevalence of Suicidality and its Association with Quality of Life in Older Patients with Clinically Stable Psychiatric Disorders in China During the COVID-19 Pandemic

AIMS

The pattern of suicidality in older patients with psychiatric disorders during the COVID-19 pandemic is not clear. This study examined the prevalence of suicidality and its association with quality of life (QOL) among older clinically stable patients with psychiatric disorders during the COVID-19 pandemic.

METHODS

A multicenter, cross-sectional study was conducted from May 22 to July 15, 2020, among four major tertiary psychiatric hospitals in China. Suicidality was assessed by asking 3 standardized questions. Depressive symptoms, pain, and QOL were assessed with the 9-item Patient Health Questionnaire (PHQ-9), the numeric pain rating scale (NPRS), and the World Health Organization Quality of Life Questionnaire-brief version, respectively.

RESULTS

A total of 1063 clinically stable patients participated and completed the assessment. The prevalence of suicidality was 11.8% (95% CI: 9.9%-13.7%) during the COVID-19 pandemic. Multiple logistic regression analysis revealed that poor treatment adherence (P = .009, OR = 1.86, 95% CI: 1.17-2.96) and perceived illness worsening during the COVID-19 outbreak (P = .02, OR = 2.07, 95% CI: 1.15-3.73), being diagnosed with major depressive disorder (P < .001, OR = 2.79, 95% CI: 1.68-4.64), PHQ-9 total score (P < .001, OR = 1.20, 95% CI: 1.15-1.24) and NPRS total score (P = .002, OR = 1.17, 95% CI: 1.06-1.29) were associated with higher risk of suicidality. After controlling for covariates, older psychiatric patients with suicidality had lower QOL compared to those without (F(1, 1063) =16.5, P<.001).

CONCLUSIONS

Suicidality was common in older patients with clinically stable psychiatric disorders during the COVID-19 pandemic. Considering its negative impact on QOL and personal suffering, routine screening and preventive suicide measures should be implemented for older psychiatric patients.

Incremental burden of relapse in patients with major depressive disorder: a real-world, retrospective cohort study using claims data

BACKGROUND

Relapse is common in major depressive disorder (MDD). In this study, we evaluated the incremental health care burden of relapse in patients with MDD.

METHODS

This real-world retrospective cohort study used administrative medical and pharmacy claims data to identify commercially insured adult patients in the United States diagnosed with MDD who initiated a new antidepressant between January 1, 2012, and September 30, 2017. All-cause health care resource utilization, total costs, and medication adherence were evaluated in two cohorts: patients with and patients without relapse. Relapse was defined as suicide attempts, psychiatric hospitalization, mental health-related emergency department (ED) visit, use of electroconvulsive therapy, or reinitiation of treatment after a gap ≥6 months.

RESULTS

The study population included 14,186 patients (7093 baseline-matched patients per cohort). The mean follow-up period was 27.5 and 26.0 months for patients with and patients without relapse, respectively. Patients with relapse had significantly higher rates of hospitalization (16.6% vs 8.5%; p < .0001) and ED visits (54.8% vs 34.7%; p < .0001) than patients without relapse. The total costs for patients with relapse were significantly higher ($12,594 vs $10,445;  p < .0001). Patients with relapse were also less adherent to antidepressants (mean proportion of days covered, 0.43 vs 0.49; p < .0001).

CONCLUSIONS

Relapse of MDD was associated with increased total costs and health care utilization and lower adherence to antidepressants. Reducing the risk of relapse may result in a reduction of the associated health care burden; however, findings may only be generalizable to patients with commercial insurance.

A Delphi-method-based consensus guideline for definition of treatment-resistant depression for clinical trials

Criteria for treatment-resistant depression (TRD) and partially responsive depression (PRD) as subtypes of major depressive disorder (MDD) are not unequivocally defined. In the present document we used a Delphi-method-based consensus approach to define TRD and PRD and to serve as operational criteria for future clinical studies, especially if conducted for regulatory purposes. We reviewed the literature and brought together a group of international experts (including clinicians, academics, researchers, employees of pharmaceutical companies, regulatory bodies representatives, and one person with lived experience) to evaluate the state-of-the-art and main controversies regarding the current classification. We then provided recommendations on how to design clinical trials, and on how to guide research in unmet needs and knowledge gaps. This report will feed into one of the main objectives of the EUropean Patient-cEntric clinicAl tRial pLatforms, Innovative Medicines Initiative (EU-PEARL, IMI) MDD project, to design a protocol for platform trials of new medications for TRD/PRD.

"Supporting Wellness": A depression and bipolar support alliance mixed-methods investigation of lived experience perspectives and priorities for mood disorder treatment

BACKGROUND

The lived experience of people with mood disorders may be leveraged to inform priorities for research, define key treatment outcomes, and support decision-making in clinical care. The aim of this mixed-methods project was to provide insight into how people with depression and bipolar disorder experience the impact of symptoms, their treatment preferences, and their definitions of wellness.

METHODS

The project was implemented in two phases. In Phase 1, community-based participatory research was used to develop a web-based survey enquiring about living with a mood disorder, treatment experiences, and wellness priorities. In Phase 2, a series of focus groups were conducted to explore aspects of wellness in greater detail.

RESULTS

Respondents (n= 6153) described the symptoms of mood disorders as having a significant, chronic impact on their lives. A holistic approach to treatment was desired by participants, but not necessarily experienced. Qualitative findings were used to further describe four highly ranked wellness priorities identified in the survey: ability to act independently or according to my own will; purpose in life; getting through the day; and contentment.

LIMITATIONS

Experience of a mood disorder was self-reported, and no formal confirmation of diagnosis occurred. Although the survey could not incorporate all possible wellness definitions, this was supplemented by qualitative focus groups.

CONCLUSION

The present findings provide important insights from the perspectives of individuals with lived experience of mood disorders. Implications of this for research and clinical practice are discussed, particularly with regards to measurement-based care and use of wellness-oriented clinical outcome assessments.

The combined effect of psychodynamic psychotherapy and pharmacotherapy on healthcare cost

OBJECTIVE

Previous studies have established a connection between therapy and healthcare cost: an increase in cost prior to therapy and a maintained decrease post therapy. There is, however, a lack of studies examining the combined effects of psychotherapy and pharmacotherapy on healthcare cost.

METHOD

Healthcare cost was examined quarterly in 1,213 patients (28,776 observations) in a naturalistic longitudinal design. Psychotherapy only was compared to combined treatment and to an addition of psychotherapy to preexisting pharmacotherapy. The comparisons were conducted with a multilevel piecewise model (LMLM) computed for three phases: pre-, during-, and post-therapy.

RESULTS

Significant interactions were found between the contrast comparing preexisting pharmacotherapy to the during-psychotherapy and no-pharmacotherapy groups and the three piecewise variables. The pre-therapy increase was larger for the preexisting-pharmacotherapy group than for the other groups. The during-therapy decrease was larger for the preexisting-pharmacotherapy group than for the other groups. In the post-therapy period, the increase was significant only for the prior-psychiatric-medication group.

CONCLUSIONS

Preexisting psychotropic treatment along with an increase in healthcare expenditure may serve as an indication of the need for additional psychotherapy treatment.

Antidepressant treatment and blood pressure control in patients with comorbid depression and treatment resistant hypertension

BACKGROUND

Though inconsistent, the majority of studies support an association between depression and incident hypertension and poor blood pressure control. However, none have investigated whether antidepressant medication (ADM) therapy is associated with blood pressure control in patients with comorbid depression and treatment resistant hypertension.

METHODS

Optum® de-identified Electronic Health Record data (2010-2018) were used to create a retrospective cohort of patients (≥18 years of age) with comorbid depression and treatment resistant hypertension. Patients were categorized into adequate ADM, inadequate ADM and no ADM treatment. A modified Poisson regression approach with robust error variance was used to estimate the association between ADM status and blood pressure control before and after adjusting for covariates.

RESULTS

Patients were, on average, 55.7 (SD ± 9.9) years of age, 63.9% were female, 76.2% were white and 19.2% Black race. In crude models, inadequate ADM (RR = 1.06; 95%CI:1.01-1.11) and adequate ADM (RR = 1.08; 95%CI:1.03-1.14), compared to no ADM treatment, were associated with blood pressure control. After adjusting for covariates this relationship was attenuated and no longer significant.

CONCLUSIONS

The modest association between ADM therapy and blood pressure control in patients with treatment resistant hypertension is largely explained by traditional risk factors for hypertension such as obesity and older age. Treating depression is not a robust factor in blood pressure control among those with treatment resistant hypertension.

Pharmacists and community health workers improve medication-related process outcomes among Cambodian Americans with depression and risk for diabetes

BACKGROUND

Cambodian Americans have high rates of cardiometabolic and psychiatric disorders and disadvantaged social determinants of health (SDOH). These factors can make it challenging to resolve drug therapy problems (DTPs) and improve medication-related outcomes. This manuscript reports planned analyses from a randomized controlled trial in which participants were randomized to one of 3 treatment arms: (1) community health worker (CHW)-delivered lifestyle intervention called Eat, Walk, sleep (EWS), (2) EWS plus pharmacist/CHW-delivered medication therapy management (EWS + MTM), or (3) social services (SS: control).

OBJECTIVES

We compared the 3 arms on changes in self-reported medication adherence, barriers, and beliefs. Within the EWS + MTM arm only, we assessed the impact of EWS + MTM on DTP resolution and examined predictors of DTP resolution.

METHODS

Cambodian Americans at the age of 35-75 years at high risk of developing diabetes and meeting the criteria for likely depression (N = 188) were randomized (EWS, n = 67; EWS + MTM, n = 63; SS, n = 50; control). For all participants, self-reported surveys were collected at baseline, 12 months, and 15 months. DTPs were assessed on the same schedule but only for participants in the EWS + MTM.

RESULTS

All 3 groups reported a significant decrease in barriers to taking medications. Compared with the other arms, the EWS + MTM arm reported a decrease in forgetting to take medications at 15 months. In the EWS + MTM arm, mean DTPs per patient was 6.57 and 84% of DTPs were resolved. SDOH predictors of DTP resolution included years of education (odds ratio [OR] 0.94, P = 0.016), ability to write English (OR 0.73, P = 0.015), difficulty communicating with provider (OR 1.39, P < 0.001), private insurance (OR 1.99, P = 0.030), disability (OR 0.51, P = 0.008), and years living under Pol Pot (OR 0.66, P = 0.045). Medication barriers at baseline predicted DTP resolution (OR 0.79, P = 0.019) such that each additional barrier was associated with a 21% reduction (1-0.79) in the odds of having a resolution.

CONCLUSION

CHWs can reduce medications barriers and help pharmacists reduce DTPs in disadvantaged populations.

The impact of mental health support for the chronically ill on hospital utilisation: Evidence from the UK

Individuals with common mental disorders (CMDs) such as depression and anxiety frequently have co-occurring long-term physical health conditions (LTCs) and this co-occurrence is associated with higher hospital utilisation. Psychological treatment for CMDs may reduce healthcare utilisation through better management of the LTC, but there is little previous research. We examined the impact of psychological treatment delivered under the nationwide Improving Access to Psychological Therapies (IAPT) programme in England on hospital utilisation 12-months after the end of IAPT treatment. We examined three types of hospital utilisation: Inpatient treatment, Outpatient treatment and Emergency Room attendance. We examined individuals with Chronic Obstructive Pulmonary Disease (COPD) (n = 816), Diabetes (n = 2813) or Cardiovascular Disease (CVD) (n = 4115) who received psychological treatment between April 2014 and March 2016. IAPT episode data was linked to hospital utilisation data which went up to March 2017. Changes in the probability of hospital utilisation were compared to a matched control sample for each LTC. Individuals in the control sample received IAPT treatment between April 2017 and March 2018. Compared to the control sample, the treated sample had significant reductions in the probability of all three types of hospital utilisation, for all three LTCs 12-months after the end of IAPT treatment. Reductions in utilisation of Emergency Room, Outpatient and non-elective Inpatient treatment were also observed immediately following the end of psychological treatment, and 6-months after, for individuals with diabetes and CVD, compared to the matched sample. These findings suggest that psychological interventions for CMDs delivered to individuals with co-occurring long-term chronic conditions may reduce the probability of utilisation of hospital services. Our results support the roll-out of psychological treatment aimed at individuals who have co-occurring CMDs and long-term chronic conditions.

Cost-Related Medication Nonadherence (CRN) on Healthcare Utilization and Patient-Reported Outcomes: Considerations in Managing Medicare Beneficiaries on Antidepressants

Background: Many patients face a financial burden due to their medications, which may lead to poor health outcomes. The behaviors of non-adherence due to financial difficulties, known as cost-related medication non-adherence (CRN), include taking smaller doses of drugs, skipping doses to make prescriptions last longer, or delaying prescriptions. To date, the prevalence of CRN remains unknown, and there are few studies about the association of CRN on self-reported healthcare utilization (Emergency room (ER) visits and outpatient visits) and self-reported health outcomes (health status and disability status) among older adults taking antidepressants. Objectives: The objectives were to 1) examine the CRN prevalence, and 2) determine the association of CRN on self-reported healthcare utilization and self-reported health outcomes. Methods: This study was a cross-sectional study of a sample of older adults from the Medicare Current Beneficiary Survey (MCBS) who reported having used antidepressants in 2017. Four logistic regressions were implemented to evaluate the association of CRN, and self-reported healthcare utilization and self-reported health outcomes. Results: The study identified 602 participants who were Medicare beneficiaries on antidepressants. The prevalence of CRN among antidepressant users was (16.61%). After controlling for covariates, CRN was associated with poorer self-reported outcomes but not statistically significant: general health status [odds ratio (OR): 0.67; 95% confidence interval (CI): 0.39-1.16] and disability status (OR: 1.34; 95% CI: 0.83-2.14). In addition, CRN was associated with increased outpatient visits (OR: 1.89; 95% CI: 1.19-3.02), but not associated with ER visits (OR: 1.10; 95% CI: 0.69-1.76). Conclusion: For Medicare beneficiaries on antidepressants, CRN prevalence was high and contributed to more outpatient visits. The healthcare provider needs to define the reasoning for CRN and provide solutions to reduce the financial burden on the affected patient. Also, health care providers need to consider the factors that may enhance patient health status and healthcare efficiency.