Behavioral Health Services Influence Medical Treatment Utilization Among Primary Care Patients with Comorbid Substance Use and Depression

Interventions targeting patients with co-occuring severe mental illness and substance use (dual diagnosis) in general practice settings - a scoping review of the literature

BACKGROUND

People with dual diagnosis die prematurely compared to the general population, and general practice might serve as a setting in the healthcare system to mend this gap in health inequity. However, little is known about which interventions that have been tested in this setting.

AIM

To scope the literature on interventions targeting patients with dual diagnosis in a general practice setting, the outcomes used, and the findings.

DESIGN AND SETTING

A scoping review of patients with dual diagnosis in general practice.

METHODS

From a predeveloped search string, we used PubMed (Medline), PsychInfo, and Embase to identify scientific articles on interventions. Studies were excluded if they did not evaluate an intervention, if patients were under 18 years of age, and if not published in English. Duplicates were removed and all articles were initially screened by title and abstract and subsequent fulltext were read by two authors. Conflicts were discussed within the author group. A summative synthesis of the findings was performed to present the results.

RESULTS

Seven articles were included in the analysis. Most studies investigated integrated care models between behavioural treatment and primary care, and a single study investigated the delivery of Cognitive Behavioral treatment (CBT). Outcomes were changes in mental illness scores and substance or alcohol use, treatment utilization, and implementation of the intervention in question. No studies revealed significant outcomes for patients with dual diagnosis.

CONCLUSION

Few intervention studies targeting patients with dual diagnosis exist in general practice. This calls for further investigation of the possibilities of implementing interventions targeting this patient group in general practice.

The Association Between Depression and Substance Use Among Primary Care Patients With Comorbid Medical and Behavioral Health Conditions

INTRODUCTION

The scope of primary care increasingly encompasses patient behavioral health problems, manifest typically through depression screening and treatment. Although substance use is highly comorbid with depression, it is not commonly identified and addressed in the primary care context. This study aimed to examine the association between the likelihood of substance use disorder and increased depression severity, both cross-sectionally and longitudinally, among a sample of 2409 patients from 41 geographically dispersed and diverse primary care clinics across the US.

METHODS

This is secondary analysis of data obtained from a multi-site parent study of integrated behavioral health in primary care, among patients with both chronic medical and behavioral health conditions. Patient reported outcome surveys were gathered from patients at 3 time points. The primary care practices were blind to which of their patients completed surveys. Included were standardized measures of depression severity (Patient Health Questionnaire-9) [PHQ-9] and substance use disorder likelihood (Global Appraisal of Individual Needs-Short Screener [GSS]).

RESULTS

Four percent of the study population screened positive for substance use disorder. PHQ-9 scores indicated depression among 43% of all patients. There was a significant association between the likelihood of substance use disorder and depression initially, at a 9-month follow-up, and over time. These associations remained significant after adjusting for age, gender, race, ethnicity, education, income, and other patient and contextual characteristics.

CONCLUSIONS

The findings suggest that substance use disorder is associated with depression severity cross-sectionally and over time. Primary care clinics and health systems might consider implementing substance use screening in addition to the more common screening strategies for depression. Especially for patients with severe depression or those who do not respond to frontline depression treatments, the undermining presence of a substance use disorder should be explored.

Defining Major Depressive Disorder Cohorts Using the EHR: Multiple Phenotypes Based on ICD-9 Codes and Medication Orders

Background

Major Depressive Disorder (MDD) is one of the most common mental illnesses and a leading cause of disability worldwide. Electronic Health Records (EHR) allow researchers to conduct unprecedented large-scale observational studies investigating MDD, its disease development and its interaction with other health outcomes. While there exist methods to classify patients as clear cases or controls, given specific data requirements, there are presently no simple, generalizable, and validated methods to classify an entire patient population into varying groups of depression likelihood and severity.

Methods

We have tested a simple, pragmatic electronic phenotype algorithm that classifies patients into one of five mutually exclusive, ordinal groups, varying in depression phenotype. Using data from an integrated health system on 278,026 patients from a 10-year study period we have tested the convergent validity of these constructs using measures of external validation, including patterns of psychiatric prescriptions, symptom severity, indicators of suicidality, comorbidity, mortality, health care utilization, and polygenic risk scores for MDD.

Results

We found consistent patterns of increasing morbidity and/or adverse outcomes across the five groups, providing evidence for convergent validity.

Limitations

The study population is from a single rural integrated health system which is predominantly white, possibly limiting its generalizability.

Conclusion

Our study provides initial evidence that a simple algorithm, generalizable to most EHR data sets, provides categories with meaningful face and convergent validity that can be used for stratification of an entire patient population.

The Impact of Integrated Psychological Services in a Safety Net Primary Care Clinic on Medical Utilization

OBJECTIVE

The integration of psychological and behavioral health services into safety net primary care clinics has been viewed as a step toward reducing disparities in mental health treatment and addressing behavioral factors in chronic diseases. Though it is posited that integrated behavioral health (IBH) reduces preventable medical costs, this premise has yet to be tested in a safety net primary care clinic.

METHOD

Retrospective pre- and posttreatment analysis with quasi-experimental control group was constructed using propensity score matching. Participants included 1,440 adult patients at a safety net primary care clinic, 720 of whom received IBH services, and 720 of whom received medical treatment only.

RESULTS

Analysis showed that rates of preventable inpatient utilization decreased significantly among IBH-treated patients compared to no change among control patients.

CONCLUSION

IBH was associated with decreased rates of preventable inpatient visits. IBH may present opportunities to deliver improved holistic patient care while reducing unnecessary inpatient medical utilization.