This statistic displays the number of negligence claims reported to NHS England from the financial years 2010/11 to 2022/23, by type of claim. In 2022/23 there were over ** thousand clinical negligence claims reported to NHS England, a considerable decrease in the amount of clinical claims from the previous year.

This publication shows a count of written complaints made by (or on behalf of) patients, received between 1 April 2023 and 31 March 2024 in England. The two data collections are: i) KO41a – NHS Hospital and Community Health Services (HCHS) ii) KO41b – Primary Care (GP and Dental)

Dataset

This dataset was created by Sanket Kachole

Contents

NHS UK - COVID-19 Daily Deaths

This section contains information on deaths of patients who have died in hospitals in England and had tested positive for COVID-19 at time of death. All deaths are recorded against the date of death rather than the date the deaths were announced. Interpretation of the figures should take into account the fact that totals by date of death, particularly for most recent days, are likely to be updated in future releases. For example as deaths are confirmed as testing positive for COVID-19, as more post-mortem tests are processed and data from them are validated. Any changes are made clear in the daily files.

These figures do not include deaths outside hospital, such as those in care homes. This approach makes it possible to compile deaths data on a daily basis using up to date figures.

Dataset Content

These figures will be updated at 2pm each day and include confirmed cases reported at 5pm the previous day. Confirmation of COVID-19 diagnosis, death notification and reporting in central figures can take up to several days and the hospitals providing the data are under significant operational pressure. This means that the totals reported at 5pm on each day may not include all deaths that occurred on that day or on recent prior days.

The original dataset is sourced directly from the NHS source site, this original dataset is then cleaned and converted to a csv format available for inclusion into a Kaggle notebook.

There are 3 files considered within the data :- 1. Fatalities_by_age_uk 2.Fatalities_by_region_uk 3.Fatalities_by_trust_uk

Data runs from March 1st up to the current day. Any discrepancies will be outlined. The first is cumulative for any previous days leading up to of relevance. The following days are not cumulative and represent the updated value for the date under consideration.

A start kernel is provided to demonstrate using the dataset.

Citations

This dataset is sourced from the NHS statistical work areas:- https://www.england.nhs.uk/statistics/statistical-work-areas/

This dataset has been sourced and provided to aid in the following competition:- https://www.kaggle.com/c/covid19-global-forecasting-week-4

Experiences of local GP services, NHS treatment waiting lists, community health services, dentistry and pharmacy services, analysing data from the Health Insight Survey commissioned by NHS England. These are official statistics in development.

The number of Healthcare Associated Infections (HCAIs) reported by London NHS hospitals and Primary Care Trusts (PCTs). The data focuses on two types of infections- meticillin-resistant Staphylococcus aureus (MRSA) and clostridium difficile (CDIF). It contains information on the following: Annual target number of cases set by the Department of Health Year to date (YTD) planned trajectory Number of cases in last 12 months (including this month) Number of cases in last 3 months (including this month) Number of cases in previous month Number of cases in this month Number of cases so far this year Data source: Department of Health Vital Signs Monitoring Return

Experimental statistics from the Mental Health Services Data Set (MHSDS), which replaces the Mental Health and Learning Disabilities Dataset (MHLDDS). As well as analysis of waiting times, first published in March 2016 using provisional submissions for January 2016, this release includes elements of the reports that were previously included in monthly reports produced from final MHLDDS submissions. It also includes some new measures.

Context

Mental Health Services Monthly Statistics

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.

Content

Time period covered Feb 1, 2020 - April 31, 2020

Area covered England

Acknowledgements

reference: Mental Health Services Monthly Statistics

Author: Community and Mental Health Team, NHS Digital
Responsible Statistician: Tom Poupart, Principal Information Analyst
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You may re-use this document/publication (not including logos) free of charge in any format or medium, under the terms of the Open Government Licence v3.0.
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Cover by-

Inspiration

This dataset is to solve the challenge- UNCOVER COVID-19 Challenge, United Network for COVID Data Exploration and Research. This data is scraped in hopes of solving the task - Mental health impact and support services.

Task Details Can we predict changes in demand for mental health services and how can we ensure access? (by region, social/economic/demographic factors, etc). Are there signs of shifts in mental health challenges across demographies, whether improvements or declines, as a result of COVID-19 and the various measures implement to contain the pandemic?

Provisional monthly data on diagnostic imaging tests on NHS patients in England. Includes estimates of GP usage of direct access to chest imaging, non-obstetric ultrasound and MRI brain scans which are key diagnostic test for cancer.

Source agency: NHS England

Designation: Experimental Official Statistics

Language: English

Alternative title: DID Statistics

NHS Workforce statistics on bank staff employed directly by NHS trusts and paid through the NHS Electronic Staff Record (ESR) pay and human resources system.

Hospital performance is often measured using self-reported statistics, such as the incidence of hospital-transmitted micro-organisms or those exhibiting antimicrobial resistance (AMR), encouraging hospitals with high levels to improve their performance. However, hospitals that increase screening efforts will appear to have a higher incidence and perform poorly, undermining comparison between hospitals and disincentivising testing, thus hampering infection control. We propose a surveillance system in which hospitals test patients previously discharged from other hospitals and report observed cases. Using English National Health Service (NHS) Hospital Episode Statistics data, we analysed patient movements across England and assessed the number of hospitals required to participate in such a reporting scheme to deliver robust estimates of incidence. With over 1.2 million admissions to English hospitals previously discharged from other hospitals annually, even when only a fraction of hospitals (41/155) participate (each screening at least 1000 of these admissions), the proposed surveillance system can estimate incidence across all hospitals. By reporting on other hospitals, the reporting of incidence is separated from the task of improving own performance. Therefore the incentives for increasing performance can be aligned to increase (rather than decrease) screening efforts, thus delivering both more comparable figures on the AMR problems across hospitals and improving infection control efforts.

Information on the waiting times of patients with suspected cancer and those subsequently diagnosed with cancer

Source agency: NHS England

Designation: National Statistics

Language: English

Alternative title: Statistics on Waiting Times for Suspected and Diagnosed Cancer Patients Annual Report