Mental health service use for adult patients with co-occurring depression and physical chronic health care needs, 2007-2010

Barriers and Facilitators to High Emergency Department Use Among Patients with Mental Disorders: A Qualitative Investigation

This qualitative study explored reasons for high emergency department (ED) use (3 + visits/year) among 299 patients with mental disorders (MD) recruited in four ED in Quebec, Canada. A conceptual framework including healthcare system and ED organizational features, patient profiles, and professional practice guided the content analysis. Results highlighted insufficient access to and inadequacy of outpatient care. While some patients were quite satisfied with ED care, most criticized the lack of referrals or follow-up care. Patient profiles justifying high ED use were strongly associated with health and social issues perceived as needing immediate care. The main barriers in professional practice involved lack of MD expertise among primary care clinicians, and insufficient follow-up by psychiatrists in response to patient needs. Collaboration with outpatient care may be prioritized to reduce high ED use and improve ED interventions by strengthening the discharge process, and increasing access to outpatient care.

Unmet healthcare needs among midlife adults with mental distress and multiple chronic conditions

BACKGROUND

Limited attention has focused on midlife health. Yet, this is a time of great change, including onset of chronic conditions and changes in mental health.

OBJECTIVE

To examine unmet healthcare needs among midlife adults (50-64 years) in the US with severe psychological distress (SPD) and/or multiple chronic conditions (MCC).

METHODS

Nationally representative data for midlife adults (50-64 years) from NHIS 2014-2018 were examined (n = 39,329). Multimorbidity status: no MCC/SPD, MCC alone, SPD alone, or both. We used logistic regression to estimate adjusted odds ratios (AOR) of delayed or foregone care by multimorbidity status.

RESULTS

Nearly 40% of midlife adults had MCC, SPD, or SPD/MCC. SPD with or without MCC had higher prevalence of social disadvantage, fair/poor health, activity limitations, and delayed/foregone healthcare. Compared to those with neither, adults with SPD/MCC were more likely to delay care due to limited office hours (AOR = 4.2, 95% CI 3.1-5.5) and had nearly three to four times higher odds of delays for all other reasons. Those with SPD/MCC had higher odds of needing but not getting mental healthcare (AOR = 6.4, 95% CI 4.5-9.1), prescriptions (AOR = 4.8, 95% CI 3.9-5.9), or follow-up care (AOR = 5.0, 95% CI 3.7-6.6), and three to four times higher odds of all other types of foregone care.

CONCLUSIONS

Midlife adults with SPD/MCC have substantial unmet healthcare needs. Midlife is a critical time to manage both chronic conditions and mental illness. Coordinated efforts by policymakers and healthcare systems are crucial to address complex healthcare needs of this population at a critical stage of the life-course.

Differential Effects by Mental Health Status of Filling the Medicare Part D Coverage Gap

OBJECTIVE

The objective of this study was to study how changes in insurance benefit design affect medication use of older adults with mental disorders.

DATA SOURCES

US Medicare claims data from 2007 to 2018.

STUDY DESIGN

Exploiting the gradual elimination of the Medicare prescription drug coverage gap beginning in 2011, we examine the effects on medication use and out-of-pocket spending by drug type with a difference-in-differences approach. We identify subpopulations by mental disorder and compare the estimates across mental health groups and to the general Medicare population.

PRINCIPAL FINDINGS

Closing the gap substantially reduced individuals' out-of-pocket spending, and the reduction was larger for those with more severe mental disorders. The policy led to a statistically significant increase in branded drugs used for the Medicare population (0.91; P<0.01; 12.12% increase), beneficiaries with severe mental disorders (2.71; P<0.01; 11.13% increase), and common mental disorders (2.63; P<0.01; 11.62% increase), whereas such effect for beneficiaries with Alzheimer disease and dementia (AD) is substantially smaller (0.44; P<0.01; 1.83% increase). In contrast, the policy decreased generic drugs used by about 3%-5% for all groups. Overall, beneficiaries without mental health illness have a statistically significant increase in total medication use (2.05%) following the coverage gap closure, while all 3 mental health groups have either no statistically significant changes or a small reduction in total mediation use (AD, -1.26%).

CONCLUSIONS

Patients' responses to price changes vary across mental disorders and by drug type. The impact on branded drug utilization among those with AD is particularly small. Our findings suggest that lowering medication costs has differential impacts across diseases and may not be sufficient to improve adherence for all conditions, in particular those with severe mental health disorders such as AD.

Association between Psychiatric Disorders and Glomerular Disease

Introduction

Patients with chronic health conditions, particularly chronic kidney disease, are at heightened risk for psychiatric disorders; yet, there are limited data on those with primary glomerular disease.

Methods

This study included patients with glomerular disease enrolled in the kidney research network multisite patient registry. Registry data include encounter, diagnoses, medication, laboratory, and vital signs data extracted from participants' electronic health records. ICD-9/10 diagnosis codes were used to identify a subset of psychiatric disorders focused on anxiety, mood, and behavioral disorders. Time-varying Cox proportional hazard models were used to analyze time from the onset of kidney disease to diagnosis of psychiatric disorder. Adjusted models retained significant covariates from the full list of potential confounders, including age, sex, race, ethnicity, time-varying treatment, the estimated glomerular filtration rate, and proteinuria (urine protein-to-creatinine ratio [UPCR]). Analogous models examined diagnosis of psychiatric disorder as a predictor of time to end-stage kidney disease (ESKD).

Results

Data were available for 950 participants, with a median of 58 months of follow-up. 110 (12%) participants were diagnosed with psychiatric disorder during the follow-up. The estimated rate of psychiatric diagnosis after kidney disease was 14.7 cases per 1,000 person-years and was highest among those of adolescent age at the time of kidney disease diagnosis. Adjusted analyses found adolescent age (vs. adult, hazard ratio [HR] = 3.11, 95% confidence interval [CI] 1.87-5.17) and Asian race (vs. white, HR = 0.34, 95% CI 0.16-0.71) were associated with psychiatric diagnosis. A higher UPCR per 1 log unit (HR 1.13, 95% CI 1.01-1.27) and a higher total number of oral medications were associated with psychiatric disorder (p < 0.001). Psychiatric diagnosis was also associated with progression to ESKD (HR = 2.45, 95% CI 1.53-3.92) in adjusted models.

Discussion/Conclusion

Psychiatric disorders were documented in approximately one-eighth of patients with glomerular disease and correlated with clinical disease characteristics such as age, race, proteinuria, and oral medication burden. These findings suggest mental health screening is warranted in patients of all ages with glomerular disease.

Cost-Effectiveness of the Wellness Incentives and Navigation (WIN) Program

OBJECTIVES

Promoting patient involvement in managing co-occurring physical and mental health conditions is increasingly recognized as critical to improving outcomes and controlling costs in this growing chronically ill population. The main objective of this study was to conduct an economic evaluation of the Wellness Incentives and Navigation (WIN) intervention as part of a longitudinal randomized pragmatic clinical trial for chronically ill Texas Medicaid enrollees with co-occurring physical and mental health conditions.

METHODS

The WIN intervention used a personal navigator, motivational interviewing, and a flexible wellness expense account to increase patient activation, that is, the patient's knowledge, skills, and confidence in managing their self-care and co-occurring physical and mental health conditions. Regression models were fit to both participant-level quality-adjusted life years (QALYs) and total costs of care (including the intervention) controlling for demographics, health status, poverty, Medicaid managed care plan, intervention group, and baseline health utility and costs. Incremental costs and QALYs were calculated based on the difference in predicted costs and QALYs under intervention versus usual care and were used to calculate the incremental cost-effectiveness ratios (ICERs). Confidence intervals were calculated using Fieller's method, and sensitivity analyses were performed.

RESULTS

The mean ICER for the intervention compared with usual care was $12 511 (95% CI $8971-$16 842), with a sizable majority of participants (70%) having ICERs below $40 000. The WIN intervention also produced higher QALY increases for participants who were sicker at baseline compared to those who were healthier at baseline.

CONCLUSION

The WIN intervention shows considerable promise as a cost-effective intervention in this challenging chronically ill population.

Associations Between Psychiatric Disorders and Alcohol Consumption Levels in an Adult Primary Care Population

Background

Unhealthy alcohol use frequently co‐occurs with psychiatric disorders; however, little is known about the relationship between psychiatric disorders and alcohol consumption levels. Understanding varying levels of unhealthy alcohol use among individuals with a variety of psychiatric disorders in primary care would provide valuable insight for tailoring interventions.

Methods

We conducted a cross‐sectional study of 2,720,231 adult primary care patients screened for unhealthy alcohol use between 2014 and 2017 at Kaiser Permanente Northern California, using electronic health record data. Alcohol consumption level was classified as no reported use, low‐risk use, and unhealthy use, per National Institute on Alcohol Abuse and Alcoholism guidelines. Unhealthy use was further differentiated into mutually exclusive groups: exceeding only daily limits, exceeding only weekly limits, or exceeding both daily and weekly limits. Multivariable multinomial logistic regression models were fit to examine associations between 8 past‐year psychiatric disorders (depression, bipolar disorder, anxiety disorder, obsessive–compulsive disorder, schizophrenia, schizoaffective disorder, anorexia nervosa, and bulimia nervosa) and alcohol consumption levels, adjusting for sociodemographic and health characteristics.

Results

In the full sample [53% female, 48% White, mean (SD) age = 46 (18) years], patients with psychiatric disorders (except eating disorders), compared to those without, had lower odds of reporting low‐risk and unhealthy alcohol use relative to no use. Among patients who reported any alcohol use (n = 861,427), patients with depression and anxiety disorder, compared to those without, had higher odds of exceeding only weekly limits and both limits; patients with bulimia nervosa were also more likely to exceed both limits.

Conclusions

Findings suggest that patients with anxiety disorder, depression, and bulimia nervosa who drink alcohol are more likely to exceed recommended limits, increasing risk of developing more serious problems. Health systems and clinicians may wish to consider implementing more robust screening, assessment, and intervention approaches to support these vulnerable subgroups in limiting their drinking.

Depression Treatment Status of Economically Disadvantaged African American Older Adults

Background: It is known that depression remains largely untreated in underserved communities. Hence, it is desirable to gain more knowledge on the prevalence and correlates of untreated depression among African-American (AA) older adults in economically disadvantaged areas. This knowledge may have the public health benefit of improving detection of AA older adults with depression who are at high risk of not receiving treatment, thereby reducing this health disparity. Objective: To study health and social correlates of untreated depression among AA older adults in economically disadvantaged areas. Methods: Between 2015 and 2018, this cross-sectional survey was conducted in South Los Angeles. Overall, 740 AA older adults who were 55+ years old entered this study. Independent variables were age, gender, living arrangement, insurance type, educational attainment, financial strain, chronic medical conditions, and pain intensity. Untreated depression was the dependent variable. Logistic and polynomial regression models were used to analyze these data. Results: According to the polynomial regression model, factors such as number of chronic medical conditions and pain intensity were higher in individuals with depression, regardless of treatment status. As our binary logistic regression showed, age, education, and number of providers were predictive of receiving treatment for depression. Conclusion: Age, educational attainment, number of providers (as a proxy of access to and use of care) may be useful to detect AA older adults with depression who are at high risk of not receiving treatment. Future research may focus on decomposition of the role of individual-level characteristics and health system-level characteristics that operate as barriers and facilitators to AA older adults receiving treatment for depression.

A real-world study of socioeconomic factors with survival in adults aged 18-64 years with renal cell carcinoma

Aim: To evaluate the impact of socioeconomic factors (SEFs) on survival of renal cell carcinoma (RCC) patients. Materials & methods: RCC patients diagnosed between 2007 and 2015 were collected from the SEER database. The crude and multivariate Cox regression analysis was used to identify the independent prognostic factors and quantity the mortality risks for overall survival (OS). Results: Three SEFs including marital status, insurance status and median household income were identified as prognostic factors for OS. SEF-stage was built based on the three SEFs. Moreover, the SEF-stage 1 had superior OS than SEF-stage 2 within the respective American Joint Committee on Cancer stages. Conclusion: The SEF-stage was an independently prognostic factor for OS in RCC. Incorporation of SEF-stage into the American Joint Committee on Cancer staging system might be beneficial for better survival prediction and clinical management. However, further studies were needed to validate these findings in other populations.