This study examined acute inpatient psychiatric admissions among child Medicaid recipients with a mental health diagnosis in one Midwestern state. The authors used multivariable logistic regression to determine the demographic, clinical, and service factors associated with admissions among 51,233 Medicaid enrolled children 3-17 years old who were identified as having a mental health diagnosis. Compared to available data from other states, the overall acute admission rate was low (2.5 %). Clinical factors were the strongest predictors of hospitalization. Youths with mood, disruptive and psychotic disorder diagnoses were 14.1, 6.2, and 5.8 times more likely than other mental health beneficiaries to experience one or more acute inpatient psychiatric admissions. Other predictors of acute admission included prior hospitalization, receipt of two or more concurrent psychotropic medications, older age, and urban residence. A low rate of acute inpatient admissions may indicate successful delivery of community-based mental health services; conversely, it may suggest underservice to youths with mental health need, particularly those in rural areas. Implications for publicly funded children's mental health care are discussed.
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http://dx.doi.org/10.1007/s10488-014-0560-6 | DOI Listing |
Nurse Educ
October 2024
Author Affiliations: The Ohio State University College of Nursing, Columbus, Ohio (Dr Hoying, Mss Terry and Gray-Bauer, and Dr Melnyk); and The University of Arizona College of Nursing, Tucson, Arizona (Dr Kelly).
Background: Nursing students experience significantly more stress related diseases when compared to non-nursing students, and the state of their mental health can result in short-term increased attrition rates and increased nursing shortages.
Purpose: A preexperimental pre-post study design was used to examine mental health and healthy behaviors among prenursing students.
Methods: Cohorts received the MINDSTRONG© program either in-person or virtually.
Behav Res Methods
December 2024
Department of Psychology, Bielefeld University, Universitätsstraße 25, 33615, Bielefeld, Germany.
Following the (revised) latent state-trait theory, the present study investigates the within-subject reliability, occasion specificity, common consistency, and construct validity of cognitive control measures in an intensive longitudinal design. These indices were calculated applying dynamic structural equation modeling while accounting for autoregressive effects and trait change. In two studies, participants completed two cognitive control tasks (Stroop and go/no-go) and answered questions about goal pursuit, self-control, executive functions, and situational aspects, multiple times per day.
View Article and Find Full Text PDFInt J Bipolar Disord
December 2024
Department for Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt-Goethe University, Frankfurt am Main, Germany.
Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neuro-developmental disorder that often persists into adulthood. Moreover, it is frequently accompanied by bipolar disorder (BD) as well as borderline personality disorder (BPD). It is unclear whether these disorders share underlying pathomechanisms, given that all three are characterized by alterations in affective states, either long or short-term.
View Article and Find Full Text PDFEur Arch Psychiatry Clin Neurosci
December 2024
Laboratory of Clinical Neuropathology, Mental Health Research Center, Kashirskoe Shosse 34, 115522, Moscow, Russia.
Previously we found altered microglia-neuron interactions in the prefrontal cortex in schizophrenia. We hypothesized that microglia-neuron interactions may be dysregulated in the caudate nucleus in schizophrenia. A postmortem ultrastructural morphometric study was performed to investigate satellite microglia (SatMg) and adjacent neurons in the head of the caudate nucleus in 21 cases of schizophrenia and 20 healthy controls.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Civil Engineering, Sharif University of Technology, Tehran, Iran.
Air pollution, a global health hazard, significantly impacts mortality, cardiovascular health, mental well-being, and overall human health. This study aimed to investigate the impact of air pollution and meteorological factors on cardiovascular mortality rates in Mashhad City, northeastern Iran in 2017-2020. We utilized a Random Forest (RF) model in this study.
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