Increase the number of eligible children receiving mental health treatment from 87,500 in 2014 to 91,000 by 2018.

The following datasets are based on the children and youth (under age 21) beneficiary population and consist of aggregate Mental Health Service data derived from Medi-Cal claims, encounter, and eligibility systems. These datasets were developed in accordance with California Welfare and Institutions Code (WIC) § 14707.5 (added as part of Assembly Bill 470 on 10/7/17). Please contact BHData@dhcs.ca.gov for any questions or to request previous years’ versions of these datasets. Note: The Performance Dashboard AB 470 Report Application Excel tool development has been discontinued. Please see the Behavioral Health reporting data hub at https://behavioralhealth-data.dhcs.ca.gov/ for access to dashboards utilizing these datasets and other behavioral health data.

Of the U.S. parents of children under 18 years surveyed, more than half said their child's mental state concerned them. Moreover, 1 in 4 sought professional mental health help for their child[dren] due to the COVID-19 pandemic. This statistic shows the percentage of U.S. parents who were concerned with the mental health of their children and have sought help as of 2021.

This report presents findings from the third (wave 3) in a series of follow up reports to the 2017 Mental Health of Children and Young People (MHCYP) survey, conducted in 2022. The sample includes 2,866 of the children and young people who took part in the MHCYP 2017 survey. The mental health of children and young people aged 7 to 24 years living in England in 2022 is examined, as well as their household circumstances, and their experiences of education, employment and services and of life in their families and communities. Comparisons are made with 2017, 2020 (wave 1) and 2021 (wave 2), where possible, to monitor changes over time.

Between 2018 and 2019, nearly 26 percent of children and adolescents aged 12 to 17 years in the United States received mental health services. This statistic illustrates the percentage of children and adolescents in the U.S. who received any mental health treatment or services from 2013 to 2019, by age.

Introduction: Screentime is ubiquitous with children and parents concerned and anxious about its effect on the well-being of their children. This project uses the 2020 data from the National Survey of Children’s Health (NSCH) to determine if there is a correlation between the amount of weekday screentime in children ages 17 and younger and reported instances of mental health treatment and mental health treatment needed. Objectives: The primary objective of this project is to determine if there is a correlation between screentime and the mental health of children, ages 17 and younger. Methods: This project utilizes 2020 data from the NSCH, specifically the survey information collected about children ages 17 and younger on screentime, mental health professional treatment, and age of the child. Screentime refers to weekday time spent in front of a TV, computer, cellphone, or other electronic device watching programs, playing games, accessing the internet or using social media. After analyzing the three aforementioned variables, the percentage of mental health treatment occurrences by age group per screen time category indicates whether there is a correlation between children’s screentime and their mental health. Results: Preschool-aged (0-5 years old) children who spent 2 hours per weekday in front of a screen had the highest occurrence of mental health treatment, doubling the other categories of screentime. In school-aged (6-13 years old) children, there is a rise in mental health treatment needed as screentime increases. In adolescent (14-17 years old) children, there is a significant increase in the occurrence of mental health treatment as screentime increases, where 60% of adolescents who require mental health treatment spent four or more hours in front of a screen. Conclusions: There is a correlation between increased screentime and the occurrence of mental health treatment in children, particularly with the Adolescent (14-17 years old) age group.

The Mental Health of Children and Young People Surveys (MHCYP) series provides data about the mental health of young people living in Great Britain.

The MHCYP was first carried out in 1999, capturing information on 5 to 15-year-olds. It was conducted by the Office for National Statistics (ONS) on behalf of the Department of Health (now known as the Department of Health and Social Care, or DHSC), The Scottish Health Executive and the National Assembly for Wales. The following survey in the series was conducted in 2002 and focused on children looked after by their local authority. The third survey was conducted in 2004 and collected information from 5 to 16-year-olds. Follow-ups to this survey were conducted after 6 months and again after 3 years.

NHS Digital commissioned the 2017 survey on behalf of the DHSC. It collected information on 2 to 19-year-olds living in England. The survey was carried out by a consortium led by NatCen Social Research, which included the ONS and Youth In Mind.

The MHCYP 2020 survey was a Wave 1 follow-up to the 2017 survey and was conducted under the COVID-19 Public Health Directions 2020, as directed by the then Secretary of State for Health. The Wave 2 follow-up was conducted in 2021.

Further information can be found on the NHS Digital Mental Health of Children and Young People Surveys webpage.

A similar series covering adults, the Adult Surveys of Psychiatric Morbidity, is also commissioned by NHS Digital.

The Mental Health of Children and Young People in England, 2020: Special Licence Access (MHCYP) is the first in a series of follow-up surveys to the MHCYP 2017 survey (which in itself was the third survey of its kind - see SN 8467 - with previous MHCYPs carried out in 1999, 2004). The 2020 MHCYP was funded by the Department of Health and Social Care and commissioned by NHS England. The survey was carried out by the National Centre for Social Research (NatCen Social Research), the Office for National Statistics, the University of Cambridge and the University of Exeter.

The MHCYP surveys provide England's Official Statistics on trends in child mental health. The MHCYP 2017 was conducted face-to-face and involved data collection from a random sample of children and young people (aged 2 to 19 years). MHCYP 2017 participants (now aged 5 to 22 years) who agreed to be re-contacted for future research were invited to take part in a follow-up online survey in July 2020. Therefore, the achieved MHCYP 2020 sample for this (Wave 1) follow-up was based on 3,570 children and young people who took part in MHCYP 2017, with both surveys also drawing on information collected from parents.

The two main aims of MHCYP 2020 were:

• to compare mental health between 2017 and 2020 - the likelihood of a mental disorder was assessed against completion of the Strengths and Difficulties Questionnaire (SDQ) in both years; and
• to describe life during the COVID-19 pandemic.
  
  

Latest edition information

For the second edition (September 2024) a new version of the data file was deposited, with derived variables included that had not been populated in the first edition.

In 2021, the percentage of children and adolescents who received treatment or counseling from a mental health professional in the past year varied across the United States. Vermont was the state with the highest percentage of children and adolescents who received mental health treatment, while Hawaii was the lowest. Across the U.S. the average rate was 11.2 percent. This graph shows the percentage of children and adolescents in United States aged 3-17 who received treatment or counseling from a mental health professional in the past 12 months as of 2021.

Experimental statistics from the Mental Health Services Data Set (MHSDS) - Children & Young People

The Katie A. Settlement Agreement requires the Department of Health Care Services (DHCS) to collect and post data used to evaluate utilization of services and timely access to appropriate care. These county datasets show services used by children and youth (under the age of 21) identified as Katie A. Subclass members and/or utilizing Katie A. specialty mental health services (Intensive Care Coordination, Intensive Home Based Services, and Therapeutic Foster Care). This data assists in evaluating each county’s progress with implementing.

This release presents the first statistics from the Mental Health Services Data Set (MHSDS), using provisional submissions for January 2016. It comprises a small set of experimental analysis in support of the introduction of waiting time standards for mental health. It also includes data quality measures in line with our previous releases from provisional monthly data. A fuller report, including many of the measures previously produced from final monthly data in the Monthly MHLDS Report series, which this replaces, will be published in April 2016 from January final data. It will also include some initial analysis of information about children's and young people's services. The publication is likely to evolve as new analysis is produced from the dataset. The MHSDS not only supersedes and replaces the Mental Health and Learning Disabilities Dataset but also the following standards: ISB 1072 Child and Adolescent Mental Health Services (CAMHS) data set ISB 1509 Mental Health Care Cluster ISB 1078 Mental Health Clustering Tool The changes incorporate requirements in support of Children and Young People's Improving Access to Psychological Therapies (CYP IAPT), elements of the Learning Disabilities Census (LDC) and elements of the Assuring Transformation (AT) Information Standard. One of the reasons for changing the Mental Health and Learning Disabilities Dataset (MHLDDS) was to enable the dataset to support the monitoring of waiting times in mental health. Due to the extensive nature of the changes required to the underlying dataset it will take some time to re-create all the measures previously included in our monthly reports and some elements will change. Further details are provided in the Methodological Change paper which can be found in the resource links below. We will release the reports as experimental statistics until the characteristics of data flowed using the new data standard are understood.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The research project has tested a possible explanation for the Great American Crime Decline of the 1990s and especially 2000s: the increasing rates at which psychotropic drugs are prescribed, especially to children and adolescents. Psychotropic drugs are often prescribed to youth for mental health conditions that involve disruptive and impulsive behaviors and learning difficulties. The effects of these drugs are thus expected to lead to the decrease in the juveniles' involvement in delinquency and violence. The effects of two legislative changes are hypothesized to have contributed to the increased prescribing of psychotropic drugs to children growing up in families in poverty: 1) changes in eligibility for Supplemental Security Income (SSI) that made it possible for poor children to qualify for additional financial assistance due to mental health conditions (1990 and 1996), and 2) changes in school accountability rules following the passage of No Child Left Behind Act (2002) that put pressure on schools in some low-income areas to qualify academically challenged students as having ADHD or other learning disabilities. The objectives of the project are: 1) to assemble a data set, using state-level data from various publicly available sources, containing information about trends in juvenile delinquency and violence, trends in psychotropic drug prescribing to children and adolescents, and various control variables associated with these two sets of trends; 2) to test the proposed hypotheses about the effect of increasing psychotropic medication prescribing to children and adolescents on juvenile delinquency and violence, using the assembled data set; and 3) to disseminate the scientific knowledge gained through this study among criminal justice researchers, psychiatric and public health scientists, as well as among a wider audience of practitioners and the general public. This collection includes one SPSS file (Dataset_NIJ_GRANT_2014-R2-CX-0003_DV-IV_3-29-17.sav; n=1,275, 113 variables) and one Word syntax file (doc36775-0001_syntax.docx).

Publicly funded child and youth mental health services across the province including:

• child and youth mental health agencies
• child and youth mental health services offered through community agencies, including:
  • individual counselling
  • family counselling
  • group counselling
  • grief and loss counselling
  • anger management programs
  • suicide counselling
  • in person crisis intervention programs

The following information is provided for each service:

• name
• location
• hours of operation
• contact information
• description of program
• service area
• eligibility
• application process
• accessibility
• languages offered
• fee structure if applicable
• documents required

This is a report on NHS-funded Community Services for children and young people aged 18 years or under using data from the new Children and Young People's Health Services (CYPHS) data set reported in England for activity for May 2017. The CYPHS is a patient-level dataset providing information relating to NHS-funded community services for children and young people aged 18 years or under. These services can include health centres, schools and mental health trusts. The data collected includes personal and demographic information, diagnoses including long-term conditions and childhood disabilities and care events plus screening activities. It has been developed as part of the Maternity and Children's Data Set (MCDS) Project to achieve better outcomes of care for children and young people. It provides data that will be used to improve clinical quality and service efficiency, in a way that improves health and reduces inequalities. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website. This monthly statistical release also includes a separate collaborative report that has been produced by NHS Digital and Ofsted investigating how sources of early years data including that from the CYPHS can be used together to enrich analysis and insight in child health and development.

Between 2016 and 2019, around 11 percent of children and adolescents aged 3 to 17 years in the U.S. in families with a household income less than 100% FPL received treatment from a mental health professional. This statistic illustrates the percentage of children and adolescents in the U.S. who received any mental health treatment or services from 2013 to 2019, by household income.

The primary purpose of this survey was to produce prevalence rates of the three main childhood mental disorders: conduct disorder, hyperactivity and emotional disorders (and their comorbidity) in England and Wales.

Source agency: Office for National Statistics

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: The Mental Health of Children and Adolescents in Great Britain

In New York City, attention-deficit/hyperactivity disorder (ADHD) was the most common behavioral health condition among children in families experiencing homelessness who were sheltering at the Families with Children intake center (FWC) in 2022, as reported by the head of the household. This statistic depicts the most common behavioral health conditions among children in families experiencing homelessness who were applying for shelter at the Families with Children intake center in New York City in 2022, as reported by the head of the household.

Abstract copyright UK Data Service and data collection copyright owner.

The Mental Health of Children and Young People Surveys (MHCYP) series provides data about the mental health of young people living in Great Britain.

The MHCYP was first carried out in 1999, capturing information on 5 to 15-year-olds. It was conducted by the Office for National Statistics (ONS) on behalf of the Department of Health (now known as the Department of Health and Social Care, or DHSC), The Scottish Health Executive and the National Assembly for Wales. The following survey in the series was conducted in 2002 and focused on children looked after by their local authority. The third survey was conducted in 2004 and collected information from 5 to 16-year-olds. Follow-ups to this survey were conducted after 6 months and again after 3 years.

NHS Digital commissioned the 2017 survey on behalf of the DHSC. It collected information on 2 to 19-year-olds living in England. The survey was carried out by a consortium led by NatCen Social Research, which included the ONS and Youth In Mind.

The MHCYP 2020 survey was a Wave 1 follow-up to the 2017 survey and was conducted under the COVID-19 Public Health Directions 2020, as directed by the then Secretary of State for Health. The Wave 2 follow-up was conducted in 2021.

Further information can be found on the NHS Digital Mental Health of Children and Young People Surveys webpage.

A similar series covering adults, the Adult Surveys of Psychiatric Morbidity, is also commissioned by NHS Digital.

The primary purpose of the Mental Health of Children and Adolescents in Great Britain, 1999 survey was to produce prevalence rates of three main categories of mental disorder:
conduct disorder;
hyperactivity;
emotional disorders (and their comorbidity);
based on ICD-10 (International Classification of Diseases, tenth revision) and DSM-IV (Diagnostic and Statistical Manual, fourth revision) criteria. Where there were sufficient numbers, the survey also aimed to provide prevalence rates of type of problem (e.g., separation anxiety, social phobia etc.) and to investigate the comorbidity or co-occurrence of disorders.
Main Topics:

The data contain Information about 10, 438 children from up to 3 sources:
Parent/primary care giver;
Young person (11-15 year olds) themselves;
Teacher (nominated by parent/child);
Clinical assessment variables assigned to each case based on ICD-10 and DSM-IV diagnostic criteria. (Clinical raters carried out a review of all survey data for each child and assigned diagnoses). See 'concepts and methods used in assessing mental disorders'. For derived variables please refer to the documentation.

Standard Measures
DAWBA - Development and well being assessment (please refer to documentation for further information)
SDQ - Strengths and difficulties questionnaire, Goodman 1997 and goodman et al 1998
GHQ 12 - General health questionnaire, Goldberg and Williame 1988
General Functioning Scale of the Macmaster Family Activity Device, FAD-GFS.

This release presents experimental statistics from the Mental Health Services Data Set (MHSDS), using final submissions for April 2016 and provisional submissions for May 2016. This is the fifth monthly release from the dataset, which replaces the Mental Health and Learning Disabilities Dataset (MHLDDS). As well as analysis of waiting times, first published in March 2016, this release includes elements of the reports that were previously included in monthly reports produced from final MHLDDS submissions. In this publication a new data file has been produced to present the data for people identified as having learning disabilities and/or autistic spectrum disorder (LDA) characteristics. Because of the scope of the changes to the dataset (resulting in the name change to MHSDS and the new name for these monthly reports) it will take time to re-introduce all possible measures that were previously part of the MHLDS Monthly Reports. Additional measures will be added to this report in the coming months. Further details about these changes and the consultation that informed were announced in November. From January 2016 the release includes information on people in children and young people's mental health services, including CAMHS, for the first time. Learning disabilities and autism services have been included since September 2014. This release of final data for April 2016 comprises: - An Executive Summary, which presents national-level analysis across the whole dataset and also for some specific service areas and age groups - Data tables about access and waiting times in mental health services for the based on provisional data for the period 1 March 2016 to 31 May 2016. - A monthly data file which presents 92 measures for mental health, learning disability and autism services at National, Provider and Clinical Commissioning Group (CCG) level. - A Currency and Payments (CAP) data file, containing three measures relating to people assigned to Adult Mental Health Care Clusters. Further measures will be added in future releases. - A data file containing the measures relating to people with learning disabilities and/or autism. - Exploratory analysis of the coverage and completeness of access and waiting times statistics for people entering the Early Intervention in Psychosis pathway. - A set of provider level data quality measures for both months. The report comprises of validity measures for various data items at National and Provider level. From the publication of April data, a coverage report is included showing the number of providers submitting each month and number of records submitted. - A metadata file, which provide contextual information for each measure, including a full description, current uses, method used for analysis and some notes on usage. We will release the reports as experimental statistics until the characteristics of data flowed using the new data standard are understood. A correction has been made to this publication on 10 September 2018. This amendment relates to statistics in the monthly CSV data file; the specific measures effected are listed in the “Corrected Measures” CSV. All listed measures have now been corrected. NHS Digital apologises for any inconvenience caused.

In this project, we aimed to increase what is known about the negative effects of maternal depression and anxiety disorders (MDAD) on the mental health outcomes of children. Mental health is a topical area of research that is receiving increasing attention in the media and is one of five ESRC strategic priorities for investment. The main aim of the project was to help develop an understanding of how mental depression and anxiety disorders are transmitted from one generation to the next and ultimately help to design interventions better able to reduce the consequences of maternal mental health for children. We have used data from QResearch, a large consolidated database derived from anonymized health records from general practices in England matched with hospital administrative data, the Hospital Episode Statistics (HES). Further information is available under Related Resources.

Problems relating to Maternal Depression and Anxiety Disorders (MDAD) are common and are known to affect child health and development. In the UK, the cost of perinatal mental health problems has been estimated at £8.1 billion for each birth cohort of children, and 72 percent of this cost is related to the direct impact on the children.

The overarching aim of our proposed research is to examine the effect of MDAD on child health outcomes, with a special focus on the role that MDAD plays in the development of child depression and anxiety disorders (CDAD) in adolescence. In particular, this research will provide robust empirical evidence to understand how depression and anxiety disorders are transmitted from one generation to the next and to help design interventions aimed at reducing the negative consequences of poor maternal mental health for children.

To achieve this aim, we will address the following research questions:

1) Are the negative effects of MDAD on children exclusively explained by genetic transmission and family background characteristics? Or are these negative effects also explained by changes in the child's home environment? If the transmission of mental and anxiety disorders is explained exclusively by genetic traits and family background characteristics, then interventions targeted at reducing the negative effect of MDAD on maternal behaviour, e.g. through cognitive behavioural therapy, would be ineffective. On the contrary, evidence on significant effects of MDAD after controlling for genetic and family background characteristics would suggest that MDAD can lead to changes in the child home environment, e.g. changes in maternal behaviour, harsher parenting style and lower time investments in the child, with negative consequences on children.

2) Do school policies and health practices have a role in attenuating the negative effect of maternal depression on children? We will answer this research question by focusing on whether starting school earlier harms or protects children who are exposed to MDAD, and on whether an early diagnosis of maternal depression can attenuate the negative effects suffered by children.

We will develop and use state-of-the-art estimation methods in combination with a novel administrative dataset covering general practices and hospitals created by merging two population-based health databases from England - namely QResearch and Hospital Episode Statistics. Using this merged database, we will create a longitudinal household dataset that will allow us to study the mental health of mothers and their children at different stages of the children's lives up to adolescence.

We are a multi-disciplinary team from the Universities of Oxford and York, consisting of experts in applied econometric methods, child and maternal mental health, psychology, general practice, and on the data that we plan to utilise.

We will translate our research findings into advice for policy-makers to help them design new interventions aimed at achieving better outcomes for patients suffering from maternal mental health issues and their children. Our research will also have an impact on health practitioners, psychologists, academics and charities working with mothers and children. We will produce papers aimed at academics as well as non-technical outputs to engage with policy-makers and a non-academic audience. Furthermore, by sharing and explaining our data and estimation methods to academics, we will build capacity for further research based on large health datasets.

The final central element of the project will be to build the capacity of early career researchers to undertake and lead large interdisciplinary projects.