This table provides the current data on referral to treatment waiting times for patient pathways waiting (open pathway) to start treatment by grouped weeks. Hywel Dda health board has no patients waiting for audiological medicine from January 2019 onwards, this is due to the service moving into the community based model. In March 2016, we changed some of the terminology used in referral to treatment reporting. Previously, when publishing these statistics, we used the terminology ‘patients’. However, some users misinterpreted this as unique patients. It is possible that a person could be on a number of different lists waiting for different conditions – i.e. there would be one patient but more than one pathway. Due to the RTT dataset being an aggregate data collection we’re not able to measure the number of unique patients. Therefore, we are using the terminology ‘patient pathways’, to better reflect the fact that one person can be on multiple waiting lists. The methodology use to measure and calculate these statistics has not changed. This is also more consistent with the other nations of the UK in their reporting of RTT.

This table provides the current data on referral to treatment waiting times for closed patient pathways. Closed pathways include: patient pathways treated, patient pathways who no longer wanted to be seen, deceased patient pathways. This excludes closed patient pathways with unknown treatment start date. Hywel Dda health board has no patients waiting for audiological medicine from January 2019 onwards, this is due to the service moving into the community based model.

The median waiting time is the middle value when all waits are ordered from shortest to longest, meaning half of all current waits are less than the median and half are more than the median. It is commonly used in preference to the mean as it is less influenced by extreme values.

IntroductionReducing waiting times is a major policy objective in publicly-funded healthcare systems. However, reductions in waiting times can produce a demand response, which may offset increases in capacity. Early detection and diagnosis of cancer is a policy focus in many OECD countries, but prolonged waiting periods for specialist confirmation of diagnosis could impede this goal. We examine whether urgent GP referrals for suspected cancer patients are responsive to local hospital waiting times.MethodWe used annual counts of referrals from all 6,667 general practices to all 185 hospital Trusts in England between April 2012 and March 2018. Using a practice-level measure of local hospital waiting times based on breaches of the two-week maximum waiting time target, we examined the relationship between waiting times and urgent GP referrals for suspected cancer. To identify whether the relationship is driven by differences between practices or changes over time, we estimated three regression models: pooled linear regression, a between-practice estimator, and a within-practice estimator.ResultsTen percent higher rates of patients breaching the two-week wait target in local hospitals were associated with higher volumes of referrals in the pooled linear model (4.4%; CI 2.4% to 6.4%) and the between-practice estimator (12.0%; CI 5.5% to 18.5%). The relationship was not statistically significant using the within-practice estimator (1.0%; CI -0.4% to 2.5%).ConclusionThe positive association between local hospital waiting times and GP demand for specialist diagnosis was caused by practices with higher levels of referrals facing longer local waiting times. Temporal changes in waiting times faced by individual practices were not related to changes in their referral volumes. GP referrals for diagnostic cancer services were not found to respond to waiting times in the short-term. In this setting, it may therefore be possible to reduce waiting times by increasing supply without consequently increasing demand.

This publication provides the most timely picture available of people using NHS funded secondary mental health, learning disabilities and autism services in England. These are experimental statistics which are undergoing development and evaluation. This information will be of use to people needing access to information quickly for operational decision making and other purposes. More detailed information on the quality and completeness of these statistics is made available later in our Mental Health Bulletin: Annual Report publication series. • COVID-19 and the production of statistics Due to the coronavirus illness (COVID-19) disruption, it would seem that this is now starting to affect the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets. We are also starting to see some different patterns in the submitted data. For example, fewer patients are being referred to hospital and more appointments being carried out via phone/telemedicine/email. Therefore, data should be interpreted with care over the COVID-19 period. • Annual statistics This publication includes annual statistics for the 2019-20 reporting year. Included are the number of People in contact with services - April 2019 to March 2020, and the number of People in contact with services with a hospital provider spell - April 2019 to March 2020, with age group breakdowns for both counts. In addition, the number of children and young people accessing NHS funded community mental health services - April 2019 to March 2020 are published here for the first time (additional information on this measure is included below). Further annual statistics will be published in the annual Mental Health Bulletin. • Children and young people’s access to mental health services, annual statistics For 2019-20, following the introduction of the multiple submission window model (MSWM), increased providers submissions, data quality improvements and developments to the children and young people’s access measure, NHS Digital are publishing the children and young people’s access to mental health services, annual statistics, based on MHSDS within this publication (MHS69 - The number of children and young people, regardless of when their referral started, receiving at least two contacts (including indirect contacts) and where their first contact occurs before their 18th birthday). In 2017-18 and 2018-19 NHS Digital published the results of the CYP Validation exercise, a separate collection jointly developed and commissioned by NHS Digital and NHS England and NHS Improvement, in order to produce the most accurate picture of national end of year position for children and young people’s access to mental health service. The results of the validation exercise were the official statistic and superseded all other statistics produced throughout the year. These publications are available within this publication series. • Early release of statistics To support the ongoing COVID-19 work March 2020 monthly statistics were made available early and presented on our supplementary information pages. https://digital.nhs.uk/data-and-information/supplementary-information/2020/final-march-2020-mental-health-statistics • Children and young people’s access to mental health services and the Multiple Submission Window Model Additional analysis has been undertaken, investigating the impact of the multiple submission window model (MSWM) on the Children and young people’s access to mental health services measure, this analysis will be available on our supplementary information pages. https://digital.nhs.uk/data-and-information/supplementary-information • Perinatal analysis Quarterly perinatal analysis has been included within this publication for the first time since the Final March 2019 publication. All quarters for 2019-20 have also now been published in their respective monthly publications. • Multiple Submission Window Model (MSWM) From April 2020 NHS Digital implemented a multiple submission window model for MHSDS which enabled the resubmission of data throughout the financial year. Following the implementation of the multiple submission window model providers were optionally able to submit/resubmit data for each month of 2019-20 from April 2020 to 21 May 2020. The opportunity to resubmit data for each month of 2019-20 between April 2019 and February 2020 has impacted on the statistics already published for these months. March 2020 statistics, published here, have not been impacted as the opportunity to submit/resubmit data and the submission window for Final March 2020 data coincided. As of January 2021, the statistics for these months are now available within the individual monthly publication pages. Please be aware of the potential impact of the multiple submission window model on previously published data and use these statistics with reference to it. Further information can be found on the NHS Digital Multiple submission window model for MHSDS webpage. https://digital.nhs.uk/data-and-information/data-collections-and-data-sets/data-sets/mental-health-services-data-set/multiple-submission-window-model-for-mhsds • Additional contextual information from providers unable to complete submissions during the 2019-20 reporting year Providers who were unable to make full use of the multiple submission window model before its close on 21 May 2020 were invited to provide additional information to aid in the understanding of the Official Statistics and this information is presented in the Additional Provider Information Excel file. • Changing existing measures The move to MHSDS version 4.1 from April 2020 brings with it changes to the dataset; the construction of a number of measures have been changed as a result. Improvements in the methodology of reporting delay of discharge has also resulted in a change in the construction of the measure from the April 2020 publication onwards. Full details of these changes and how these changes will impact interpretation of statistics across reporting years will be presented in the April 2020 publication. • New measures A number of new measures will be included in the forthcoming publications in the 2020-21 reporting year: MHS76 Count of people subject to restrictive interventions MHS77 Count of restrictive interventions MHS78 Discharges from adult acute beds eligible for 72 hour follow up in the reporting period MHS79 Discharges from adult acute beds followed up within 72 hours in the reporting period MHS80 Proportion of discharges from adult acute beds eligible for 72 hour follow up - followed up in the reporting period Full details of these new measures (construction, breakdowns, etc.) will be presented within this publication series in the month the new measure is first published. • Early Intervention in Psychosis (EIP) waiting times information The Data Collection Board (DCB) has now approved the decommissioning of the interim collection of Early Intervention in Psychosis (EIP) waiting times information, known as NHS England Unify Collection within this publication. Waiting times for EIP for October 2019 activity onwards are now monitored using data from the Mental Health Services Data Set (MHSDS).

In 2016 and 2018, A&E attendees in England were surveyed about the length of time they had wait before their first interaction with a doctor or nurse. According to the results, ** percent of respondents had to wait for more than an hour i n2018, compared with ** percent who waited this long in 2016.

Inverse hyperbolic sine transformed linear relationship between patient outcomes and local hospital waiting times.

Summary statistics on key variables at the GP practice level, 2012/13-2017/18.

Dataset

This dataset was created by Michael_Beanie

Contents

This publication provides the most timely statistics available relating to NHS funded secondary mental health, learning disabilities and autism services in England. This information will be of use to people needing access to information quickly for operational decision making and other purposes. These statistics are derived from submissions made using version 2.0 of the Mental Health Services Dataset (MHSDS). NHS Digital review the quality and completeness of the submissions used to create these statistics on an ongoing basis. More information about this work can be found in the Accuracy and reliability section of this report. Fully detailed information on the quality and completeness of particular statistics in this release is not available due to the timescales involved in reviewing submissions and engaging with data providers. The information that has been obtained at the time of publication is made available in the Provider Feedback sections of the Data Quality Reports which accompany this release. Information gathered after publication is released in future editions of this publication series. More detailed information on the quality and completeness of these statistics and a summary of how these statistics may be interpreted is made available later in our Mental Health Bulletin: Annual Report publication series. All elements of this publication, other editions of this publication series, and related annual publication series' can be found in the Related Links below. Learning disabilities and autism services have been included since September 2014. From May 2018 Learning disabilities and autism service specific statistics will move to its own monthly publication and, as such, be removed from this publication; further information will be available in future publications. If you have any feedback on these proposed changes please send these to enquiries@nhsdigital.nhs.uk with 'MHSDS Monthly' in the subject. The Mental Health Data Hub was launched In February 2018; the hub brings together information on mental health data into a single place and contains visualisations and time series of select data from within this publication. The hub is available here: https://digital.nhs.uk/data-and-information/data-tools-and-services/data-services/mental-health-data-hub. Access and waiting times data tables: This release includes a report and associated CSV file based on final data for the period from 1 November to 31 January 2018, and a CSV file based on provisional data for the period 1 December to 28 February 2018. From the Final February, Provisional March 2018 edition of this publication series onwards provisional data will also be made available as a report. This is to allow for more timely operational decision making and monitoring. Provisional statistics must be used with caution as their coverage and completeness will be lower than those of Final statistics. Provisional statistics will be superseded by Final statistics in the following edition of this publication series. Also included in this release is a data file which reports final statistics for the number of children and young people receiving at least two contacts (including indirect contacts) and where their first contact occurs before their 18th birthday and their second contact occurs during the reporting period. From the Final February, Provisional March 2018 edition of this publication series onwards provisional data will also be made available within this CSV file. 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.

The National Treatment Purchase Fund (NTPF) is responsible for the collection, collation and validation of Inpatient, Day Case and Outpatient waiting lists. The OP Waiting List Open Data report shows the total number of people waiting, across the various time bands, for a first appointment at a consultant-led Outpatient clinic. The Children’s Health Act 2018 came into effect on 1st January 2019. Under this act, Children’s Health Ireland was established and all assets, liabilities and records were transferred from Our Lady’s Children’s Hospital Crumlin, Temple Street Children’s University Hospital and National Children's Hospital at Tallaght University Hospital to the new body. From 1st January 2019, all NTPF reports reflect this change and data from the three sites of Children’s Health Ireland are reported as one entity. On the 31st of July 2019 Children's Health Ireland opened a new Paediatric Outpatient Department and Urgent Care Centre at CHI Connolly in Blanchardstown. The waiting lists for this site are incorporated into the Children's Health Ireland figures. Please note that NTPF does not collect activity data, i.e., numbers treated or removed. A snapshot of the number of patients waiting in each hospital is collected and published, monthly, on our website. Boards and management of individual public hospitals are responsible for the accuracy and the integrity of patient data submitted to NTPF.

This statistical release is the annual report on the Improving Access to Psychological Therapies (IAPT) programme from 1st April 2018 to 31st March 2019. IAPT is run by the NHS in England and offers NICE-approved therapies for treating people with anxiety or depression. The publication contains analyses on activity, waiting times and outcomes such as recovery in 2018-19. In addition, the report covers a range of demographic analyses including outcomes for patients of different ages, ethnic group and separately for ex-British Armed Forces personnel. Updated on 10 October 2019 to include the Additional Analyses of Therapy-Based Outcomes

Healthcare spending in the United Kingdom (UK) in both sectors has increased since 1997, although spending in the public sector has increased at a faster rate. By 2018, public healthcare expenditure in the UK stood at to 149.5 billion British pounds, compared to 34.5 billion British pounds in the private sector.

Health expenditure in the UK compared to Europe 

In 2019, the UK spent just over ten percent of its GDP on healthcare. In comparison to other European countries, this ranked the UK seventh in terms of health expenditure in 2019. Top of the list was Switzerland, which spent 12.1 percent of its’ GDP on healthcare in this year.  

Performance of the public health sector in UK 

The majority of people questioned in a survey in the UK, regard the NHS as a world class health service and remain happy with the high level of care provided by the organization. Although waiting times have been getting worse in the A&E department over the years. The NHS has been falling behind the target that 95 percent of patients should be seen within four hours of arrival. As a result, the primary reasons for dissatisfaction with the NHS among the public are the length of time required to get a GP or hospital appointment and the lack of staff.   

The National Treatment Purchase Fund (NTPF) is responsible for the collection, collation and validation of inpatient, Day Case and Outpatient waiting lists. The IPDC GI Endoscopy Waiting List Open Data report shows the total number of people waiting, across the various time Bands, for GI Endoscopy treatment. The Children’s Health Act 2018 came into effect on 1st January 2019. Under this act, Children’s Health Ireland was established and all assets, liabilities and records were transferred from Our Lady’s Children’s Hospital Crumlin, Temple Street Children’s University Hospital and National Childrens Hospital at Tallaght University Hospital to the new body. From 1st January 2019, all NTPF reports reflect this change and data from the three sites of Children’s Health Ireland are reported as one entity. On the 31st of July 2019 Children’s Health Ireland opened a new Paediatric Outpatient Department and Urgent Care Centre at CHI Connolly in Blanchardstown. The waiting lists for this site are incorporated into the Children’s Health Ireland figures. Please note that NTPF does not collect activity data, i.e., numbers treated or removed. A Snapshot of the number of patients waiting in each hospital is collected and published, monthly, on the NTPF website. Boards and management of individual public hospitals are responsible for the accuracy and the integrity of patient data submitted to NTPF.

Out of Area Mental Health Placements

Data from NHS & Independent Providers in England

By data.world's Admin [source]

About this dataset

This dataset provides a comprehensive look into the Out of Area Placements (OAPs) happening in the mental health services in England. It gives insight on placements from both NHS and independent providers, giving an overall picture of how these placements are happening across the country.

By taking a closer look at this report we can gain understanding into what is going on with OAPs around us – like which questions are being asked, breakdowns of how it’s divided and number to back it up. With this data we can better understand issues that affect our community and do our part to help support those in need

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How to use the dataset

This dataset provides information on out of area placements in mental health services in England from both NHS and independent providers. The dataset contains data related to the number placements, as well as breakdowns by region and provider. With this data you can explore the trends for out of area placements in your region and compare those trends with national level figures.

This guide will show you how to get started exploring this dataset.

Step 1: Understand The Data Set Structure

The first step for getting started is to get a good understanding of the structure of the dataset itself in order to better understand what types of questions we can ask our data with. This dataset has several columns which have been listed below:

• Publication Type : This column provides information on what type of report is being referenced such as statistical bulletin or key facts & figures etc

• Publication Period: This column represents a period within a year moment which periods are expressed by either month, quarter or financial year etc..

• Publication Date: This column informs us when the publication was made available online expressed as a date format e.g 2018-04-02)

• Question : Here we will find measurements such as people waiting an average or median length times such that they answer certain question asked by officials.

• Breakdown1, BreakDown1Code, ‘Breakdown1Description’ : These columns provide extra context into specific highlights from results in further detail eg Breakdowns include areas like Age Group ,Nationality (for immigration statistics) gender for population statistics etc... where code values may appear something like “OAP_AGE_All” and descriptions appear like “Waiting Times All Ages respectively .

• BreakDown2, BreakDown2Code, 'Breakdown2Description':These are data attributes similar top BreakDown 1 but at even more granular level eg Doctor Specialty/Department, Treatment Type, Indicators (for regional/local analysis), Countries ..etc . It's important not note here that breakdown 2 has deeper break down against Breakdown 1 depending further detail asked while investigating deeper under specified parameters /results .Eg You might want drill down ages into age groups 0–4, 5–14 ,15-29....etc excluding 65+ corresponding breakdown codes might be OAP_AGE_0

Research Ideas

• Creating insight into regional differences in mental health out of area placements in order to identify if more funding is needed and implement programs to address the predisposing risk factors for those regions with higher out of area placement rates.
• Comparing the amount of expenditure allocated on out of area placements between different areas and provinces, so that extra funding may be given to areas which need it more.
• Examining the correlation between changes in funding or policy and its effects on out of area placements at both a national and local level, in order to assess whether certain policies are successful or not at curbing them such as introducing preventative measures before placement outside an individual's region is necessary

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a...

The experiences of men referred to NHS Talking Therapies while residing in prison, including demographic characteristics, wait times, appointments and outcomes, England, 1 April 2018 to 31 March 2020.