Are Veterans Getting Their Preferred Depression Treatment? A National Observational Study in the Veterans Health Administration

Patients' requests and physicians' prescribing behavior. A systematic review

BACKGROUND

Patients' requests is a frequently cited factor in the literature affecting doctors' prescribing decisions. This systematic review aims to consolidate quantitative findings, shedding light on the relationship between patient requests and the actions taken by general practitioners. A broader perspective was adopted by not limiting our investigation to specific medication categories. Instead, we treat the act of requesting as a communicative behavior, separate from the pharmacological context.

METHOD

A comprehensive search across various online databases was performed. Two authors independently contributed the screening phase. The selection of articles and the data extraction were performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) flowchart.

RESULTS

Patient's request demonstrated to be a driving factor for physician's prescribing behavior not only when antibiotics are involved, but as a more generalized trend.

CONCLUSIONS

The study acknowledges the complexity of patient-provider communication, emphasizing the asymmetry in roles and the tension between patient empowerment and medical expertise. By uncovering the underlying mechanisms shaping doctors' responses to patient requests, this systematic review enhances our understanding of communication in healthcare settings.

PRACTICE IMPLICATIONS

Understanding the impact of patient requests on prescribing decisions highlights the importance of training healthcare providers in effective communication strategies that balance patient autonomy with clinical judgment. These insights can inform guidelines and interventions aimed at managing patient expectations, supporting more evidence-based prescribing practices and fostering better doctor-patient relationships.

Discrete Choice Experiments to Elicit Patient Preferences for the Treatment of Major Depressive Disorder: A Systematic Review

BACKGROUND

Individual preferences for treatment options for major depressive disorder can impact therapeutic decision making, adherence, and ultimately outcomes.

OBJECTIVES

This systematic review of discrete choice experiments (DCEs) on patient preferences for major depressive disorder treatment assessed the range of DCE applications in major depressive disorder to document patient stakeholder involvement in DCE development and to identify the relative importance of treatment attributes.

METHODS

We searched MEDLINE via Ovid (1946-present), EMBASE (Elsevier interface), Cochrane Central Register of Controlled Trials (Wiley interface), and PsycINFO (EBSCO interface) databases on 29 May, 2024. Covidence software facilitated the review, which four members completed independently. The review was conducted in two phases: title and abstract and then a full-text review. We used an established quality reporting tool to evaluate selected articles. The Covidence extraction tool was adapted for this study.

RESULTS

A total of 19 articles were included in this review. Most studies elicited preferences for depression treatment (63.2%) and care delivery (10.5%). Two assessed willingness to pay. Individuals prefer a combination of medicine and counseling over each treatment alone. Treatment efficacy, relapse prevention, and symptom relief were among the most important attributes. Individuals were willing to accept larger risks to achieve symptom improvement. Few studies examined preference heterogeneity with latent subgroups.

CONCLUSIONS

Discrete choice experiments for major depressive disorder treatment preferences enable an assessment of trade-offs for first-line therapeutic options. Patient stakeholders are infrequently involved as collaborators in the DCE development. Few examined preference heterogeneity among subgroups.

Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records

Efforts to develop an individualized treatment rule (ITR) to optimize major depressive disorder (MDD) treatment with antidepressant medication (ADM), psychotherapy, or combined ADM-psychotherapy have been hampered by small samples, small predictor sets, and suboptimal analysis methods. Analyses of large administrative databases designed to approximate experiments followed iteratively by pragmatic trials hold promise for resolving these problems. The current report presents a proof-of-concept study using electronic health records (EHR) of n = 43,470 outpatients beginning MDD treatment in Veterans Health Administration Primary Care Mental Health Integration (PC-MHI) clinics, which offer access not only to ADMs but also psychotherapy and combined ADM-psychotherapy. EHR and geospatial databases were used to generate an extensive baseline predictor set (5,865 variables). The outcome was a composite measure of at least one serious negative event (suicide attempt, psychiatric emergency department visit, psychiatric hospitalization, suicide death) over the next 12 months. Best-practices methods were used to adjust for nonrandom treatment assignment and to estimate a preliminary ITR in a 70% training sample and to evaluate the ITR in the 30% test sample. Statistically significant aggregate variation was found in overall probability of the outcome related to baseline predictors (AU-ROC = 0.68, S.E. = 0.01), with test sample outcome prevalence of 32.6% among the 5% of patients having highest predicted risk compared to 7.1% in the remainder of the test sample. The ITR found that psychotherapy-only was the optimal treatment for 56.0% of patients (roughly 20% lower risk of the outcome than if receiving one of the other treatments) and that treatment type was unrelated to outcome risk among other patients. Change in aggregate treatment costs of implementing this ITR would be negligible, as 16.1% fewer patients would be prescribed ADMs and 2.9% more would receive psychotherapy. A pragmatic trial would be needed to confirm the accuracy of the ITR.

Predictive modeling of initiation and delayed mental health contact for depression

BACKGROUND

Depression is prevalent among Operation Enduring Freedom and Operation Iraqi Freedom (OEF/OIF) Veterans, yet rates of Veteran mental health care utilization remain modest. The current study examined: factors in electronic health records (EHR) associated with lack of treatment initiation and treatment delay; the accuracy of regression and machine learning models to predict initiation of treatment.

METHODS

We obtained data from the VA Corporate Data Warehouse (CDW). EHR data were extracted for 127,423 Veterans who deployed to Iraq/Afghanistan after 9/11 with a positive depression screen and a first depression diagnosis between 2001 and 2021. We also obtained 12-month pre-diagnosis and post-diagnosis patient data. Retrospective cohort analysis was employed to test if predictors can reliably differentiate patients who initiated, delayed, or received no mental health treatment associated with their depression diagnosis.

RESULTS

108,457 Veterans with depression, initiated depression-related care (55,492 Veterans delayed treatment beyond one month). Those who were male, without VA disability benefits, with a mild depression diagnosis, and had a history of psychotherapy were less likely to initiate treatment. Among those who initiated care, those with single and mild depression episodes at baseline, with either PTSD or who lacked comorbidities were more likely to delay treatment for depression. A history of mental health treatment, of an anxiety disorder, and a positive depression screen were each related to faster treatment initiation. Classification of patients was modest (ROC AUC = 0.59 95%CI = 0.586-0.602; machine learning F-measure = 0.46).

CONCLUSIONS

Having VA disability benefits was the strongest predictor of treatment initiation after a depression diagnosis and a history of mental health treatment was the strongest predictor of delayed initiation of treatment. The complexity of the relationship between VA benefits and history of mental health care with treatment initiation after a depression diagnosis is further discussed. Modest classification accuracy with currently known predictors suggests the need to identify additional predictors of successful depression management.

Psychosocial interventions to improve adherence in depressed and anxious older adults prescribed antidepressant pharmacotherapy: a scoping review

Medication nonadherence in depressed and anxious older adults is prevalent and associated with non-response to antidepressant pharmacotherapy. Evidence-based options to improve medication adherence are limited in this population. To review the state of the literature on the types and efficacy of psychosocial interventions for improving antidepressant pharmacotherapy adherence in depressed and anxious older adults. We conducted a scoping review according to PRISMA-ScR guidelines. PubMed/Medline and article references starting in 1980 up to 28 February 2023 were reviewed. Of the 710 records screened, 4 psychosocial interventions were included in the review. All studies included depressed older adults, and none included anxious older adults. Samples included racial and ethnic minorities and were primarily women. The psychosocial interventions consisted mainly of psychoeducation with usual care as the control comparison. Measures of antidepressant adherence included self-reported adherence or pill counting. Three of the four randomized controlled trials improved medication adherence rates and reduced depression symptom burden. Effective interventions exist for improving antidepressant medication adherence in depressed older adults. Improved adherence can reduce depression symptom burden. The lack of interventions for anxious older adults highlights the need to develop and deliver interventions for anxious older adults prescribed antidepressant pharmacotherapy.

Development of a model to predict psychotherapy response for depression among Veterans

BACKGROUND

Fewer than half of patients with major depressive disorder (MDD) respond to psychotherapy. Pre-emptively informing patients of their likelihood of responding could be useful as part of a patient-centered treatment decision-support plan.

METHODS

This prospective observational study examined a national sample of 807 patients beginning psychotherapy for MDD at the Veterans Health Administration. Patients completed a self-report survey at baseline and 3-months follow-up (data collected 2018-2020). We developed a machine learning (ML) model to predict psychotherapy response at 3 months using baseline survey, administrative, and geospatial variables in a 70% training sample. Model performance was then evaluated in the 30% test sample.

RESULTS

32.0% of patients responded to treatment after 3 months. The best ML model had an AUC (SE) of 0.652 (0.038) in the test sample. Among the one-third of patients ranked by the model as most likely to respond, 50.0% in the test sample responded to psychotherapy. In comparison, among the remaining two-thirds of patients, <25% responded to psychotherapy. The model selected 43 predictors, of which nearly all were self-report variables.

CONCLUSIONS

Patients with MDD could pre-emptively be informed of their likelihood of responding to psychotherapy using a prediction tool based on self-report data. This tool could meaningfully help patients and providers in shared decision-making, although parallel information about the likelihood of responding to alternative treatments would be needed to inform decision-making across multiple treatments.

Values and Preferences of Patients With Depressive Disorders Regarding Pharmacologic and Nonpharmacologic Treatments : A Rapid Review

BACKGROUND

Developers of clinical practice guidelines need to take patient values and preferences into consideration when weighing benefits and harms of treatment options for depressive disorder.

PURPOSE

To assess patient values and preferences regarding pharmacologic and nonpharmacologic treatments of depressive disorder.

DATA SOURCES

MEDLINE (Ovid) and PsycINFO (EBSCO) were searched for eligible studies published from 1 January 2014 to 30 November 2022.

STUDY SELECTION

Pairs of reviewers independently screened 30% of search results. The remaining 70% of the abstracts were screened by single reviewers; excluded abstracts were checked by a second reviewer. Pairs of reviewers independently screened full texts.

DATA EXTRACTION

One reviewer extracted data and assessed the certainty of evidence, and a second reviewer checked for completeness and accuracy. Two reviewers independently assessed risk of bias.

DATA SYNTHESIS

The review included 11 studies: 4 randomized controlled trials, 5 cross-sectional studies, and 2 qualitative studies. In 1 randomized controlled trial, participants reported at the start of therapy that they expected supportive-expressive psychotherapy and antidepressants to yield similar improvements. A cross-sectional study reported that non-Hispanic White participants and men generally preferred antidepressants over talk therapy, whereas Hispanic and non-Hispanic Black participants and women generally did not have a preference. Another cross-sectional study reported that the most important nonserious adverse events for patients treated with antidepressants were insomnia, anxiety, fatigue, weight gain, agitation, and sexual dysfunction. For other comparisons and outcomes, no conclusions could be drawn because of the insufficient certainty of evidence.

LIMITATIONS

The main limitation of this review is the low or insufficient certainty of evidence for most outcomes. No evidence was available on second-step depression treatment or differences in values and preferences based on gender, race/ethnicity, age, and depression severity.

CONCLUSION

Low-certainty evidence suggests that there may be some differences in preferences for talk therapy or pharmacologic treatment of depressive disorders based on gender or race/ethnicity. In addition, low-certainty evidence suggests that insomnia, anxiety, fatigue, weight gain, agitation, and sexual dysfunction may be the most important nonserious adverse events for patients treated with antidepressants. Evidence is lacking or insufficient to draw any further conclusions about patients' weighing or valuation of the benefits and harms of depression treatments.

PRIMARY FUNDING SOURCE

American College of Physicians. (PROSPERO: CRD42020212442).