Depression symptom outcomes and re-engagement among VA patients who discontinue care while symptomatic

OBJECTIVE

Evaluate outcomes of Veterans who discontinued treatment with at least moderate ongoing depressive symptoms.

METHOD

Veterans with elevated depression symptoms from 29 Department of Veterans Affairs facilities completed baseline surveys and follow-up assessments for one year. Analyses examined rates and predictors of treatment discontinuation, treatment re-engagement, and subsequent symptoms among patients who remained out of care.

RESULTS

A total of 242 (17.8%; n = 1359) participants discontinued treatment while symptomatic, with Black participants, participants with less severe depression, and participants receiving only psychotherapy (versus combined psychotherapy and antidepressant medications) discontinuing at higher rates. Among all participants who discontinued treatment (n = 445), 45.8% re-engaged within the following six months with participants receiving combined treatment re-engaging at higher rates. Of participants who discontinued while symptomatic within the first 6 months of the study and did not return to care (n = 112), 68.8% remained symptomatic at 12 months. Lower baseline treatment expectancy and greater depression symptom severity were associated with remaining symptomatic while untreated.

CONCLUSIONS

Black race, lower symptom severity, and treatment modality may help identify patients at higher risk for discontinuing care while symptomatic, whereas patients with lower treatment expectations may be at greater risk for remaining out of care despite continuing symptoms.

Identifying neonatal intensive care (NICU) admissions using administrative claims data

BACKGROUND

To define a method for identifying neonatal intensive care unit (NICU) admissions using administrative claims data.

METHODS

This was a retrospective cohort study using claims from Optum's de-identified Clinformatics® Data Mart Database (CDM) from 2016 -2020. We developed a definition to identify NICU admissions using a list of codes from the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), Current Procedural Terminology (CPT), and revenue codes frequently associated with NICU admissions. We compared agreement between codes using Kappa statistics and calculated positive predictive values (PPV) and 95% confidence intervals (CI).

RESULTS

On average, revenue codes (3.3%) alone identified more NICU hospitalizations compared to CPT codes alone (1.5%), whereas the use of CPT and revenue (8.9%) and CPT or revenue codes (13.7%) captured the most NICU hospitalizations, which aligns with rates of preterm birth. Gestational age alone (4.2%) and birthweight codes alone (2.0%) identified the least number of potential NICU hospitalizations. Setting CPT codes as the standard and revenue codes as the "test,", revenue codes resulted in identifying 86% of NICU admissions (sensitivity) and 97% of non-NICU admissions (specificity).

CONCLUSIONS

Using administrative data, we developed a robust definition for identifying neonatal admissions. The identified definition of NICU codes is easily adaptable, repeatable, and flexible for use in other datasets.

Economic downturns and population mental health: research findings, gaps, challenges and priorities

Prior research suggests that the current global economic crisis may be negatively affecting population mental health. In that context, this paper has several goals: (1) to discuss theoretical and conceptual explanations for how and why economic downturns might negatively affect population mental health; (2) present an overview of the literature on the relationship between economic recessions and population mental health; (3) discuss the limitations of existing empirical work; and (4) highlight opportunities for improvements in both research and practice designed to mitigate any negative impact of economic declines on the mental health of populations. Research has consistently demonstrated that economic crises are negatively associated with population mental health. How economic downturns influence mental health should be considered in policies such as social protection programs that aim to promote recovery.