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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.
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TwitterThe National Patient Survey Programme is one of the largest patient survey programmes in the world. It provides an opportunity to monitor experiences of health and provides data to assist with registration of trusts and monitoring on-going compliance. Understanding what people think about the care and treatment they receive is crucial to improving the quality of care being delivered by healthcare organisations. One way of doing this is by asking people who have recently used the health service to tell the Care Quality Commission (CQC) about their experiences.
The CQC will use the results from the surveys in the regulation, monitoring and inspection of NHS acute trusts (or, for community mental health service user surveys, providers of mental health services) in England. Data are used in CQC Insight, an intelligence tool which identifies potential changes in quality of care and then supports deciding on the right regulatory response. Survey data will also be used to support CQC inspections.
Each survey has a different focus. These include patients' experiences in outpatient and accident and emergency departments in Acute Trusts, and the experiences of people using mental health services in the community.
History of the programme
The National Patient Survey Programme began in 2002, and was then conducted by the Commission for Health Improvement (CHI), along with the Commission for Healthcare Audit and Inspection (CHAI). Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On 1 April 2009, the CQC was formed, which replaced the Healthcare Commission.
Further information about the National Patient Survey Programme may be found on the CQC Patient Survey Programme web pages.
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TwitterBackgroundThis paper introduces the UK Biobank (UKB) second mental health questionnaire (MHQ2), describes its design, the respondents and some notable findings. UKB is a large cohort study with over 500,000 volunteer participants aged 40–69 years when recruited in 2006–2010. It is an important resource of extensive health, genetic and biomarker data. Enhancements to UKB enrich the data available. MHQ2 is an enhancement designed to enable and facilitate research with psychosocial and mental health aspects.MethodsUKB sent participants a link to MHQ2 by email in October-November 2022. The MHQ2 was designed by a multi-institutional consortium to build on MHQ1. It characterises lifetime depression further, adds data on panic disorder and eating disorders, repeats ‘current’ mental health measures and updates information about social circumstances. It includes established measures, such as the PHQ-9 for current depression and CIDI-SF for lifetime panic, as well as bespoke questions. Algorithms and R code were developed to facilitate analysis.ResultsAt the time of analysis, MHQ2 results were available for 169,253 UKB participants, of whom 111,275 had also completed the earlier MHQ1. Characteristics of respondents and the whole UKB cohort are compared. The major phenotypes are lifetime: depression (18%); panic disorder (4.0%); a specific eating disorder (2.8%); and bipolar affective disorder I (0.4%). All mental disorders are found less with older age and also seem to be related to selected social factors. In those participants who answered both MHQ1 (2016) and MHQ2 (2022), current mental health measure showed that fewer respondents have harmful alcohol use than in 2016 (relative risk 0.84), but current depression (RR 1.07) and anxiety (RR 0.98) have not fallen, as might have been expected given the relationship with age. We also compare lifetime concepts for test-retest reliability.ConclusionsThere are some drawbacks to UKB due to its lack of population representativeness, but where the research question does not depend on this, it offers exceptional resources that any researcher can apply to access. This paper has just scratched the surface of the results from MHQ2 and how this can be combined with other tranches of UKB data, but we predict it will enable many future discoveries about mental health and health in general.
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TwitterThe National Patient Survey Programme is one of the largest patient survey programmes in the world. It provides an opportunity to monitor experiences of health and provides data to assist with registration of trusts and monitoring on-going compliance. Understanding what people think about the care and treatment they receive is crucial to improving the quality of care being delivered by healthcare organisations. One way of doing this is by asking people who have recently used the health service to tell the Care Quality Commission (CQC) about their experiences.
The CQC will use the results from the surveys in the regulation, monitoring and inspection of NHS acute trusts (or, for community mental health service user surveys, providers of mental health services) in England. Data are used in CQC Insight, an intelligence tool which identifies potential changes in quality of care and then supports deciding on the right regulatory response. Survey data will also be used to support CQC inspections.
Each survey has a different focus. These include patients' experiences in outpatient and accident and emergency departments in Acute Trusts, and the experiences of people using mental health services in the community.
History of the programme
The National Patient Survey Programme began in 2002, and was then conducted by the Commission for Health Improvement (CHI), along with the Commission for Healthcare Audit and Inspection (CHAI). Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On 1 April 2009, the CQC was formed, which replaced the Healthcare Commission.
Further information about the National Patient Survey Programme may be found on the CQC Patient Survey Programme web pages.
Facebook
TwitterThe National Patient Survey Programme is one of the largest patient survey programmes in the world. It provides an opportunity to monitor experiences of health and provides data to assist with registration of trusts and monitoring on-going compliance. Understanding what people think about the care and treatment they receive is crucial to improving the quality of care being delivered by healthcare organisations. One way of doing this is by asking people who have recently used the health service to tell the Care Quality Commission (CQC) about their experiences.
The CQC will use the results from the surveys in the regulation, monitoring and inspection of NHS acute trusts (or, for community mental health service user surveys, providers of mental health services) in England. Data are used in CQC Insight, an intelligence tool which identifies potential changes in quality of care and then supports deciding on the right regulatory response. Survey data will also be used to support CQC inspections.
Each survey has a different focus. These include patients' experiences in outpatient and accident and emergency departments in Acute Trusts, and the experiences of people using mental health services in the community.
History of the programme
The National Patient Survey Programme began in 2002, and was then conducted by the Commission for Health Improvement (CHI), along with the Commission for Healthcare Audit and Inspection (CHAI). Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On 1 April 2009, the CQC was formed, which replaced the Healthcare Commission.
Further information about the National Patient Survey Programme may be found on the CQC Patient Survey Programme web pages.
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TwitterReference Id: OSR14/2011
Publication type: Other Statistics
Publication data: Local authority data
Local authority data: LA data
Region: England
Release date: 14 September 2011
Coverage status: Final
Publication status: Published
This official statistics release contains figures for families receiving support from family intervention services, local services which provide intensive support to families with multiple social, economic, health and behaviour problems. The data covers services in England up to March 2011.
This is the second time these statistics have been published. They will be published on a yearly basis.
The statistical release shows that:
Caroline Prichard
0207 783 8109
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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BackgroundPeople with Cystic Fibrosis (CF) in the UK and elsewhere are increasingly surviving into adulthood, yet there is little research on the employment consequences of having CF. We investigated, for the first time in a UK-wide cohort, longitudinal employment status, and its association with deprivation, disease severity, and time in hospital.MethodsWe did a longitudinal registry study of adults with CF in the UK aged 20 to 40 (3458 people with 15,572 observations between 1996 and 2010), using mixed effects models.ResultsAround 50% of adults with CF were in employment. Male sex, higher lung function and body mass index, and less time in hospital were associated with improved employment chances. All other things being equal, being in the most deprived quintile was associated with a reduction of employment prevalence of 17.6 percentage points compared to the prevalence in the least deprived quintile. Having poor lung function was associated with a reduced employment prevalence of 7.2 percentage points compared to the prevalence for people with relatively good lung function. Acting synergistically, deprivation modifies the effect of lung function on employment chances – poor lung function in the least deprived group was associated with a 3 percentage point reduction in employment chances, while poor lung function in the most deprived quintile was associated with a 7.7 point reduction in employment chances.ConclusionsGreater deprivation, disease severity, and time in hospital are all associated with employment chances in adults with CF. Furthermore, our analysis suggests that deprivation amplifies the harmful association of disease severity on employment. Future studies should focus on understanding and mitigating the barriers to employment faced by people with CF.
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Attention deficit hyperactivity disorder (ADHD) is defined by the World Health Organization as being characterised by a persistent pattern of inattention and/or hyperactivity-impulsivity that has a direct negative impact on academic, occupational, or social functioning, the level of which is outside the limits of normal variation expected for age and level of intellectual functioning. Historically there has been no specific data publicly available about people with ADHD. The ADHD data improvement plan highlighted the need to make use of and publish existing data held by NHS England in this area whilst also working to improve data quality. In this initial publication data is available on the following areas: estimated prevalence of ADHD, the number of people who may be waiting for ADHD assessments, including how long they have been waiting. A full list of measures currently contained in the publication is published in a data dictionary alongside each release
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You can also browse the QOF online database to find results for your local surgery. The national Quality and Outcomes Framework (QOF) was introduced as part of the new General Medical Services (GMS) contract on 1 April 2004. The objective of the QOF is to improve the quality of care patients are given by rewarding practices for the quality of care they provide to their patients. Participation by practices in the QOF is voluntary, though participation rates are very high, with most Personal Medical Services (PMS) practices also taking part. Information in this bulletin was derived from the Quality Management Analysis System (QMAS), a national system developed by NHS Connecting for Health. QMAS uses data from general practices to calculate their QOF achievement. The QOF contains four main components, known as domains. The four domains are: Clinical Domain, Organisational Domain, Patient Experience Domain and Additional Services Domain. Each domain consists of a set of achievement measures, known as indicators, against which practices score points according to their level of achievement. The 2009/10 QOF measured achievement against 134 indicators, and practices scored points on the basis of achievement against each indicator, up to a maximum of 1,000 points. The QOF has undergone some revisions since it was first introduced. Further changes to the QOF were made at the start of 2009/10. These included the introduction of new indicators in the existing heart failure, chronic kidney disease, depression and diabetes clinical indicator sets; the introduction of two new indicators under a new cardio-vascular disease (primary prevention) clinical indicator set; the removal of two high value indicators from the Patient Experience domain; changes to contraception indicators within the Additional Services domain of the QOF; and various changes to the points values of some QOF indicators. Overall, the maximum QOF score remained at 1,000 points.
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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.