Quality of care for Medicaid-enrolled youth with bipolar disorders

Adequacy of Children's Psychopharmacology Services: Variations by Race and Clinical Characteristics

OBJECTIVE

An expert consensus approach was used to determine the adequacy of children's psychopharmacology and to examine whether adequacy varied by demographic or clinical characteristics.

METHODS

Data were from the baseline interview of 601 children, ages 6-12 years, who had visited one of nine outpatient mental health clinics and participated in the Longitudinal Assessment of Manic Symptoms study. Children and parents were interviewed with the Kiddie Schedule for Affective Disorders and Schizophrenia and the Service Assessment for Children and Adolescents to assess the child's psychiatric symptoms and lifetime mental health services use, respectively. An expert consensus approach informed by published treatment guidelines was used to determine the adequacy of children's psychotropic medication treatment.

RESULTS

Black children (compared with White children; OR=1.84, 95% CI=1.53-2.23) and those with anxiety disorders (vs. no anxiety disorder; OR=1.55, 95% CI=1.08-2.20) were more likely to receive inadequate pharmacotherapy; those whose caregivers had a bachelor's degree or more education (vs. those who had a high school education, general equivalency diploma, or less than high school education; OR=0.74, 95% CI=0.61-0.89) were less likely to receive inadequate pharmacotherapy.

CONCLUSIONS

The consensus rater approach permitted use of published treatment efficacy data and patient characteristics (e.g., age, diagnoses, history of recent hospitalizations, and psychotherapy) to assess adequacy of pharmacotherapy. These results replicate findings of racial disparities reported in previous research using traditional methods to determine treatment adequacy (e.g., with a minimum number of treatment sessions) and highlight the continued need for research on racial disparities and strategies to improve access to high-quality care.

Introduction to the Special Issue: Advancing Racial Justice in Clinical Child and Adolescent Psychology

Relative to White youth, racially and ethnically marginalized youth in the U.S. are less likely to initiate treatment, stay in treatment, and receive adequate care. This special issue attends to racial injustice in clinical child and adolescent psychology. While numerous factors drive these racial disparities, this special issue focuses specifically on opportunities and responsibilities we have as mental health providers, teachers, mentors, researchers, and gatekeepers to make our field more racially just. In this introduction to the special issue, we review barriers and solutions across multiple contexts including structural, institutional, and practice-based. We also discuss challenges and opportunities to diversify our field and increase the representation of racially and ethnically marginalized practitioners and scholars in clinical child and adolescent psychology. We then briefly review the special issue articles and make final recommendations for how to move the field forward.

The Impact of Racism on the Health and Wellbeing of Black Indigenous and Other Youth of Color (BIPOC Youth)

Black, Indigenous, and other Youth of Color (BIPOC youth) experience racism from a young age. These experiences have both immediate and long-term impacts on their health and wellbeing. Systemic racism contributes to the inequitable distribution of health resources and other social determinants of health, creating barriers to accessing care. Substance use disorders and sexual/nonsexual risk behaviors have been linked to experiences of racism in BIPOC youth. The legacy of generational racial trauma can frame behaviors and attitudes in the present, undermining health and survival in this group. BIPOC youth also face difficulties navigating spheres characterized as white spaces. Ethnic-racial socialization may promote resilience and help with coping in the context of racial stress. While many professional health organizations have embraced dismantling racism, a shift in the narrative on racial values will be critical for preventing adversity and achieving health equity for BIPOC youth.

Quality indicators in the treatment of patients with depression, bipolar disorder or schizophrenia. Consensus study

OBJECTIVE

To define a set of indicators for mental health care, monitoring quality assurance in schizophrenia, depression and bipolar disorders in Spain.

MATERIAL AND METHOD

Qualitative research. Consensus-based study involving 6 psychiatrists on the steering committee and a panel of 43 psychiatrists working in several health services in Spain. An initial proposal of 44 indicators for depression, 42 for schizophrenia and 58 for bipolar disorder was elaborated after reviewing the literature. This proposal was analysed by experts using the Delphi technique. The valuation of these indicators in successive rounds allowed those with less degree of consensus to be discarded. Feasibility, sensitivity and clinical relevance were considered. The study was carried out between July 2015 and March 2016.

RESULTS

Seventy indicators were defined by consensus: 17 for major depression, 16 for schizophrenia, 17 for bipolar disorder and 20 common to all three pathologies. These indicators included measures related to adequacy, patient safety, exacerbation, mechanical restraint, suicidal behaviour, psychoeducation, adherence, mortality and physical health.

CONCLUSIONS

This set of indicators allows quality monitoring in the treatment of patients with schizophrenia, depression or bipolar disorder. Mental health care authorities and professionals can use this proposal for developing a balanced scorecard adjusted to their priorities and welfare objectives.

Big data for bipolar disorder

The delivery of psychiatric care is changing with a new emphasis on integrated care, preventative measures, population health, and the biological basis of disease. Fundamental to this transformation are big data and advances in the ability to analyze these data. The impact of big data on the routine treatment of bipolar disorder today and in the near future is discussed, with examples that relate to health policy, the discovery of new associations, and the study of rare events. The primary sources of big data today are electronic medical records (EMR), claims, and registry data from providers and payers. In the near future, data created by patients from active monitoring, passive monitoring of Internet and smartphone activities, and from sensors may be integrated with the EMR. Diverse data sources from outside of medicine, such as government financial data, will be linked for research. Over the long term, genetic and imaging data will be integrated with the EMR, and there will be more emphasis on predictive models. Many technical challenges remain when analyzing big data that relates to size, heterogeneity, complexity, and unstructured text data in the EMR. Human judgement and subject matter expertise are critical parts of big data analysis, and the active participation of psychiatrists is needed throughout the analytical process.