A Rapid Review of "Low-Threshold" Psychiatric Medication Prescribing: Considerations for Street Medicine and Beyond

OBJECTIVE

No widely accepted clinical guidelines, and scant directly applicable pragmatic research, are available to guide the prescription of psychiatric medications in "low-threshold" outpatient settings, such as street outreach, urgent care, and crisis care, as well as walk-in, shelter, and bridge and transition clinics. Providers frequently prescribe medications in these settings without patients' having firm psychiatric diagnoses and without medical records to guide clinical decision making. Persons who receive medications in these settings often seek help voluntarily and intermittently for mental illness symptoms. However, because of structural and individual factors, such patients may not engage in longitudinal outpatient psychiatric care. The authors reviewed the literature on psychiatric medication prescribing in low-threshold settings and offer clinical considerations for such prescribing.

METHODS

The authors conducted a rapid literature review (N=2,215 abstracts), which was augmented with up-to-date clinical prescribing literature, the authors' collective clinical experience, and DSM-5 section II diagnostic criteria to provide considerations for prescribing medications in low-threshold settings.

RESULTS

For individuals for whom diagnostic uncertainty is prominent, a symptom-based diagnostic and treatment approach may be best suited to weigh the risks and benefits of medication use in low-threshold settings. Practical considerations for treating patients with clinical presentations of psychosis and trauma, as well as mood, anxiety, and substance use disorders, in low-threshold settings are discussed.

CONCLUSIONS

An urgent need exists to invest in pragmatic research and guideline development to delineate best-practice prescribing in low-threshold settings.

Change in 1-year hospitalization of overall and older patients with major depressive disorder after second-generation antipsychotics augmentation treatment

BACKGROUND

Studies on second-generation antipsychotics (SGA) augmentation treatment for older adults with major depressive disorder (MDD) remain limited. We aimed to investigate the effectiveness of SGA augmentation for overall and older patients with MDD inpatient history by assessing the change in 1-year hospitalization before and after SGA augmentation using the latest National Health Insurance Research Database (NHIRD) in Taiwan.

METHODS

The samples were MDD patients (ICD-9 CM code: 296.2 and 296.3) who had psychiatric inpatient history. A total of 2602 MDD patients including 430 elderly subjects (age ≥ 60 years) who received SGA augmentation for 8 weeks between January 1998 and December 2012 were included in this 1-year mirror-image study. Outcome measures included number and length of psychiatric and all-cause hospitalizations.

RESULTS

After 8-week continuous SGA augmentation in the study subjects, the total number and days of psychiatric hospitalizations among overall patients reduced by 33.57% (p < .0001) and 18.24% (p < .0001), respectively; the total number and days of psychiatric hospitalizations among older patients (age ≥ 60) reduced by 44.52% (p < .0001) and 27.95% (p < .0001), respectively. Similarly, the total number and days of all-cause hospitalizations were significantly reduced.

LIMITATIONS

MDD patients without inpatient history were not included due to data limitation; hence, the results may not be generalized to all patients.

CONCLUSIONS

The results support that SGA may be effective in reducing psychiatric and all-cause hospitalization among overall and elderly MDD patients. More studies focusing on the safety of SGA among older MDD patients is warranted.

In Vivo Systems Response Profiling and Multivariate Classification of CNS Active Compounds: A Structured Tool for CNS Drug Discovery

This paper describes the application of in vivo systems response profiling in CNS drug discovery by a process referred to as the Integrative Screening Process. The biological response profile, treated as an array, is used as major outcome for selection of candidate drugs. Dose-response data, including ex vivo brain monoaminergic biomarkers and behavioral descriptors, are systematically collected and analyzed by principal component analysis (PCA) and partial least-squares (PLS) regression, yielding multivariate characterization across compounds. The approach is exemplified by assessing a new class of CNS active compounds, the dopidines, compared to other monoamine modulating compounds including antipsychotics, antidepressants, and procognitive agents. Dopidines display a distinct phenotypic profile which has prompted extensive further preclinical and clinical investigations. In summary, in vivo profiles of CNS compounds are mapped, based on dose response studies in the rat. Applying a systematic and standardized work-flow, a database of in vivo systems response profiles is compiled, enabling comparisons and classification. This creates a framework for translational mapping, a crucial component in CNS drug discovery.