Dataset Information

Patterns of treatment for psychiatric disorders among children and adolescents in Mississippi Medicaid.

ABSTRACT: The nature of services for psychiatric disorders in public health systems has been understudied, particularly with regard to frequency, duration, and costs. The current study examines patterns of service reception and costs among Medicaid-covered youth newly diagnosed with anxiety, depression, or behavioral disturbance in a large data set of provider billing claims submitted between 2015-2016. Eligibility criteria included: 1) identification of an initial diagnosis of a single anxiety, unipolar mood, or specific behavioral disorder; 2) continuous Medicaid eligibility over the duration of the time period studied; and 3) under 18 years of age on the date of initial psychiatric diagnosis. The final cohort included 7,627 cases with a mean age of 10.65 (±4.36), of which 58.04% were male, 57.09% were Black, 38.97% were White, and 3.95% were of other ethnicities. Data indicated that 65.94% of the cohort received at least some follow-up services within a median 18 days of diagnosis. Of those, 54.27% received a combination of medical and psychosocial services, 32.01% received medical services only, and 13.72% received psychosocial services only. Overall median costs for direct treatment were $576.69, with wide discrepancies between the lowest (anxiety = $308.41) and highest (behavioral disturbance = $653.59) diagnostic categories. Across all categories the frequency and duration of psychosocial services were much lower than would be expected in comparison to data from a well-known effectiveness trial. Overall, follow-up to psychiatric diagnosis could be characterized as highly variable, underutilized, and emphasizing biomedical treatment. Understanding more about these patterns may facilitate systematic improvements and greater cost efficiency in the future.

SUBMITTER: Young J

PROVIDER: S-EPMC6695227 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Patterns of treatment for psychiatric disorders among children and adolescents in Mississippi Medicaid.

Young John J Ramachandran Sujith S Freeman Andrew J AJ Bentley John P JP Banahan Benjamin F BF

PloS one 20190815 8

The nature of services for psychiatric disorders in public health systems has been understudied, particularly with regard to frequency, duration, and costs. The current study examines patterns of service reception and costs among Medicaid-covered youth newly diagnosed with anxiety, depression, or behavioral disturbance in a large data set of provider billing claims submitted between 2015-2016. Eligibility criteria included: 1) identification of an initial diagnosis of a single anxiety, unipolar ...[more]

PMID: 31415651

Similar Datasets

Project description:BACKGROUND:Unintentional injuries are a leading cause of morbidity and mortality in children of all ages. Prevention strategies require knowledge of risk factors, and behavior and psychiatric disorders have been suggested to influence the risk of injury during childhood. While externalizing disorders have been found to increase the risk for injuries, results are mixed regarding internalizing disorders, such as affective and anxiety conditions, and Autism Spectrum Disorders (ASD). There is a need for large scale studies relying on robust data sources. The aim of the present study was to examine the association between psychiatric disorders and injuries requiring medical attention, in a large population-based cohort of 350,000 children and adolescents in Sweden. METHODS:Data were obtained from the regional health care database Vega. Psychiatric diagnoses and injury diagnoses obtained during 2014-2018 for individuals aged 0-17?years in 2016 were extracted. Descriptive statistics were used to examine differences in 5-year injury prevalence between children with and without different psychiatric diagnoses. Logistic regression was used in age-stratified models to test the association between psychiatric diagnoses and injuries requiring medical attention. RESULTS:The results show an increased risk for concurrent injuries in general, but the patterns vary by age and psychiatric disorder. Externalizing disorders and anxiety conditions were associated with concurrent injuries, while individuals with ASD had a lower risk for most injuries included. Affective disorders were associated with an increased risk for wounds, concussion, complications and poisoning, while the risk for fractures was decreased. Self-inflicted injury was more common in all psychiatric conditions investigated during adolescence, except for ASD. Children and adolescents with many types of psychiatric disorders were also at increased risk for a concurrent maltreatment diagnosis. CONCLUSIONS:A general pattern of increased risk for concurrent injuries in children and adolescents with most psychiatric diagnoses was found, but the associations vary by age and type of psychiatric disorder. The results add to the literature on risk factors for injuries in children and adolescents, supporting diagnosis specific patterns. Several psychiatric diagnoses were associated with a marked increase in injury risk, indicating a high burden of disease for affected individuals.

Project description:BackgroundPsychiatric disorders often have an onset at an early age, and early identification and intervention help improve prognosis. A fine-grained, unobtrusive, and effective way to monitor symptoms and level of function could help distinguish severe psychiatric health problems from normal behavior and potentially lead to a more efficient use of clinical resources in the current health care system. The use of smartphones to monitor and treat children, adolescents, and young adults with psychiatric disorders has been widely investigated. However, no systematic review concerning smartphone-based monitoring and treatment in this population has been published.ObjectiveThis systematic review aims at describing the following 4 features of the eligible studies: (1) monitoring features such as self-assessment and automatically generated data, (2) treatment delivered by the app, (3) adherence to self-monitoring, and (4) results of the individual studies.MethodsWe conducted a systematic literature search of the PubMed, Embase, and PsycInfo databases. We searched for studies that (1) included a smartphone app to collect self-monitoring data, a smartphone app to collect automatically generated smartphone-based data, or a smartphone-based system for treatment; (2) had participants who were diagnosed with psychiatric disorders or received treatment for a psychiatric disorder, which was verified by an external clinician; (3) had participants who were younger than 25 years; and (4) were published in a peer-reviewed journal. This systematic review was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The risk of bias in each individual study was systematically assessed.ResultsA total of 2546 unique studies were identified through literature search; 15 of these fulfilled the criteria for inclusion. These studies covered 8 different diagnostic groups: psychosis, eating disorders, depression, autism, self-harm, anxiety, substance abuse, and suicidal behavior. Smartphone-based self-monitoring was used in all but 1 study, and 11 of them reported on the participants' adherence to self-monitoring. Most studies were feasibility/pilot studies, and all studies on feasibility reported positive attitudes toward the use of smartphones for self-monitoring. In 2 studies, automatically generated data were collected. Three studies were randomized controlled trials investigating the effectiveness of smartphone-based monitoring and treatment, with 2 of these showing a positive treatment effect. In 2 randomized controlled trials, the researchers were blinded for randomization, but the participants were not blinded in any of the studies. All studies were determined to be at high risk of bias in several areas.ConclusionsSmartphones hold great potential as a modern, widely available technology platform to help diagnose, monitor, and treat psychiatric disorders in children and adolescents. However, a higher level of homogeneity and rigor among studies regarding their methodology and reporting of adherence would facilitate future reviews and meta-analyses.

Dataset Information

Patterns of treatment for psychiatric disorders among children and adolescents in Mississippi Medicaid.

Publications

Patterns of treatment for psychiatric disorders among children and adolescents in Mississippi Medicaid.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets