NHS Digital Data Release Register - reformatted
Bradford Teaching Hospitals NHS Foundation Trust projects
18 data files in total were disseminated unsafely (information about files used safely is missing for TRE/"system access" projects).
Bradford Teaching Hospitals NHS Foundation Trust - Research — DARS-NIC-627124-V8Z6Z
Type of data: information not disclosed for TRE projects
Opt outs honoured: Anonymised - ICO Code Compliant (Does not include the flow of confidential data)
Legal basis: Health and Social Care Act 2012 - s261(5)(d)
Purposes: No (NHS Trust)
Sensitive: Sensitive
When:DSA runs 2023-03-14 — 2026-03-13
Access method: Frequent Adhoc Flow
Data-controller type: BRADFORD TEACHING HOSPITALS NHS FOUNDATION TRUST
Sublicensing allowed: No
Datasets:
- Civil Registrations of Death
Expected Benefits:
1. Understanding the patterns of health needs for patients in Bradford by using death certificate data to identify those who had a need for palliative care involvement
2. Mapping of pathways of care across organisations
3. Using this learning to develop new patient care interventions and quality improvement programmes, that integrate health and social care, including self-management and community based approaches.
4. Evaluating the effects of changes in healthcare practice and policy in Bradford.
5. Develop learning health systems and reduce data action latency.
Outputs:
1. Validation of programs implemented to improve patient pathway e.g. High/low users unable to validate if the process to help patients find the best support are working.
2. Clinical use the death certificate data to identify individuals who may have needed palliative care support at the end of life, understand reasons why patients are dying, and what additional support services can be put in to support.
3. Understanding where patients are dying e.g. are patients dying at hospitals due to hospices closing due to funding/staffing issues, and the impact of COVID19 on place of death and how this should inform service planning.
4. Assess inequalities in access and outcomes at the end of life, related to ethnicity and deprivation and their intersection and therefore where interventions need to be targeted.
5. Removal of patients from Risk Stratification reports.
6. Facilitation of early identification, red flags and communication of need across services to allow active targeting and intervention at the earliest stage through real-time access to data.
Processing:
PROCESSING CONDITIONS:
Data must only be used for the purposes stipulated within this Data Sharing Agreement. Any additional disclosure / publication will require further approval from NHS Digital. All access to data is auditable by NHS Digital.
The Data Controller must keep a record of locations the data is processed and stored. These addresses must be within the UK. The Data Controller should minimise the number of processing and storage locations to prevent excessive processing. NHS Digital may request a record of processing and storage locations at any time.
All access to data is managed under Role-Based Access Controls. Users can only access data authorised by their role and the tasks that they are required to undertake.
Data may only be processed and held as long as is required to carry out the purposes listed within this agreement.
Patient level data will not be linked other than as specifically detailed within this Data Sharing Agreement. Data released will only be used for the purposes laid out in the application/agreement.
NHS Digital reminds all organisations party to this agreement of the need to comply with the Data Sharing Framework Contract requirements, including those regarding the use (and purposes of that use) by Personnel (as defined within the Data Sharing Framework Contract i.e.: employees, agents and contractors of the Data Recipient who may have access to that data).
ONWARD SHARING
Aggregated reports only with small number suppression can be shared externally as set out within NHS Digital guidance applicable to each data set.
SEGREGATION:
Where the Data Processor and/or the Data Controller hold both identifiable and pseudonymised data, the data will be held separately so data cannot be linked.
All access to data is auditable by NHS Digital.
Google UK Limited supply Cloud Services for Humber Teaching NHS Foundation Trust and are therefore listed as a data processor. They supply support to the system, but do not access data. Therefore, any access to the data held under this agreement would be considered a breach of the agreement. This includes granting of access to the database[s] containing the data.
Microsoft Limited provide Cloud Services for NHS North of England Commissioning Support Unit and are therefore listed as a data processor. They supply support to the system, but do not access data. Therefore, any access to the data held under this agreement would be considered a breach of the agreement. This includes granting of access to the database[s] containing the data
Humber Teaching NHS Foundation Trust provide IT Infrastructure for Bradford Teaching Hospitals NHS Foundation Trust and are therefore listed as a data processor. They supply support to the system, but do not access data. Therefore, any access to the data held under this agreement would be considered a breach of the agreement. This includes granting of access to the database[s] containing the data
The Data Services for Commissioners Regional Office (DSCRO) obtains the following data sets:
Civil Registries Data (CRD) (Deaths)
The data is then disseminated as follows:
1. Civil Registries Data (CRD) (Deaths) data only is pseudonymised using an open pseudo tool with a SALT key specific to this project by the DSCRO
2. The pseudonymised data is then securely transferred from the DSCRO to Bradford Teaching Hospitals NHS Foundation Trust business intelligence team
3. The DSCRO shares the SALT key specific to this project with providers directly
4. The providers then send the pseudonymised data to Bradford Teaching Hospitals NHS Foundation Trust business intelligence team. This data includes:
- Primary Care data
- Secondary Care data
- Maternity data
- Community Care data
- Ambulance / 111 data
- Children Social Care data
- Adult Social Care data
- National Child Measurement Programme data
- Education data
5. Bradford Teaching Hospitals NHS Foundation Trust business intelligence team process the data in line with the purposes stipulated in this agreement
6. Patient level data will not be shared outside of the Trust and will only be shared within on a need to know basis, as per the purposes stipulated within the Data Sharing Agreement. External aggregated reports only with small number suppression can be shared as set out within NHS Digital guidance applicable to each data set.
Bradford Teaching Hospitals NHS Foundation Trust (BTHFT), aswell as being the processor and controller of this data, are also a provider. Nobody in the analysis has access to the SALT; but a member of the business intelligence team in the hospital has the ability to pseudonymise hospital datasets and therefore requires access to the SALT. They do not work in analysis team and are separate physically and organisationally. However, BTHFT is the overarching organisation for the analysis team and the hospital.
Project 2 — DARS-NIC-49238-R7G6V
Type of data: information not disclosed for TRE projects
Opt outs honoured: N ()
Legal basis: Health and Social Care Act 2012
Purposes: ()
Sensitive: Non Sensitive
When:2017.09 — 2018.05.
Access method: Ongoing
Data-controller type:
Sublicensing allowed:
Datasets:
- Hospital Episode Statistics Admitted Patient Care
- Hospital Episode Statistics Accident and Emergency
- Hospital Episode Statistics Outpatients
Objectives:
Bradford Teaching Hospital NHS Foundation Trust (BTHFT) require access to the HES datasets through the HDIS for the purpose of identifying the data required to support a larger programme of work in relation to improving patients health and social care in Bradford.
On a point of vocabulary, this and the following sections (Objectives for Processing, Processing Activities, Specific Outputs, Expected Benefits) of the agreement/application make frequent use of the work "identify". For clarity, there will be no linkage with other record-level data, nor will there be any attempt to re-identify an individual through the use of the data. Where the word "identify" is used, it should be considered to mean "establish" or "determine".
Connected Yorkshire Connected Health City (www.connectedhealthcities.org/connected-health-cities/yorkshire-humber/) (CYCHC) is a region-wide digital community programme covering over five million people that will provide a shared platform for developing innovative approaches to improving health and wellbeing.
The work of BTHFT helps support the CYCHC programme, but is limited in scope to Bradford, and no other organisation will have access to any data other than where it is aggregated with small numbers supressed in line with the HES Analysis Guide.
Although linked to the CHC programme this data request is to provide access to HES data to support specifically four Bradford projects being undertaken for the Connected Yorkshire CHC programme by BTHFT: -
i. Promoting healthier child growth
ii. Urgent care for childhood asthma
iii. Empowering independence in older people
iv. Improving the pathway for the diagnosis of autism in children
The Connected Yorkshire CHC collaboration identifies the other partners (University of Leeds, University of Sheffield, and University of York) involved that have been allocated an award, work on their local respective projects but do not in any way influence the Bradford projects. For example, Bradford has a project on child health and the project team work for BTHFT. Any decisions regarding the child health project are made by the project manager assigned to that project. The statistician in Bradford is only supporting the child health projects in Bradford.
The overall project of work is to look at four areas of health and social care within the Bradford area. These areas are childhood obesity, autism and asthma and elderly frailty. BTHFT expect to use an extract of HES to identify early indicators, risk factors and the current pathways to identify methodologies for improving early identification of these issues. Prior to requesting a HES extract BTHFT would like to use HDIS to access the pseudonymised HES data through the HDIS for the following:
To look at the feasibility of identifying the following for the Bradford population:
i. child health - childhood obesity related episodes
ii. child health – childhood asthma episodes
iii. elderly frailty population related episodes
iv. child health – child autism episodes
Once these have been identified BTHFT would then test the feasibility of identifying the following in relation to the episodes:
For the above episodes, BTHFT will also be able to evaluate: -
a) time to be seen by a consultant
b) time for treatment
c) admittance to emergency care during the day and night including any patterns
d) target population by ethnicity, age or geographical location
e) length of stays
f) inpatient and outpatient information
If identified as feasible BTHFT will use this information to identify early indicators, risk factors and current pathways in relation to childhood obesity and asthma and elderly frailty.
Analysts will also explore the data to define whether the HES data is suitable to answer/address the areas being explored and to evaluate what further data is needed for the projects in Bradford to improve patient’s health and social care in Bradford.
If this project identifies it is feasible to identify the above information from the HES data accessed through HDIS BTHFT will make a separate application for an extract of HES data in order to undertake the full programme of work in relation to childhood obesity and asthma, childhood autism and elderly frailty.
Childhood obesity causes poor health in childhood and later life, and research has shown it is one of the biggest public health threats facing this country. By analysing routinely collected data to identify patterns in childhood to understand how obesity affects BTHFT population in Bradford, identify target populations based on geographical location and ethnicity will enable interventions to be targeted to prevent obesity in children.
The incidence and prevalence of asthma among Bradford children is high, and poorly controlled asthma can be life-threatening. Asthma is one of the commonest reasons for urgent admissions to secondary care among children in Bradford, accounting for around 30% of the total. Carers are using emergency hospital care more and more as their initial health provider and there is a steady rise in A&E attendances. Unplanned admissions to hospital result in considerable stress for the child and family, and they are also costly for the family and the wider health economy.
Additionally frailty affects adults and one in ten people aged over 65 and up to half of those aged over 85. The presence of frailty identifies a subgroup of older people with multi-morbidity at especially high risk of adverse outcomes including falls, disability, hospitalisation, loneliness, care home admission and death. These outcomes have considerable impact on health and well-being of older people and their carers, and are of major importance for UK health and social care services.
Autism is a neurodevelopmental disorder (present from birth) that leads to impaired reciprocal social interaction, communication and stereotyped behaviour. The impact of this condition is profound but children with autism often wait many years before they are referred to a clinic that can diagnose the condition. This is often despite considerable family contact with different parts of the health service, and the child struggling within the school environment. Health professionals and teachers commonly lack the knowledge or confidence to suggest referral for assessment, and thus the pathway through the health service to get a diagnosis is often long and frustrating. By analysing routinely collected data to identify the incidence of autism in hospital records, identify patterns and target populations based on geographical locations, age and ethnicity to better identify children at higher risk of later diagnosis of child autism.
Expected Benefits:
The primary benefit to working with HDIS is to establish the requirements for a HES extract, so as to minimise the amount of data being processed by BTHFT. The majority of the benefit to health will come from working with the HES extract itself.
BTHFT expect that by the end of December 2017, they will have identified the following service improvements to pathways of care using routine electronic data as a result of the analysis for the Bradford population:
i. child health - childhood obesity related episodes
ii. child health – childhood asthma episodes
iii. elderly frailty population related episodes
iv. Improving the pathway for the diagnosis of autism in children
1) Identifying health needs of the elderly population
2) Identifying health needs of the childhood population that are obese or at risk of becoming obese
3) Improving public health intelligence by risk stratification
4) Understanding patient flow problems to redesign care pathways
5) Developing quality improvement projects to provide supportive care to patients who most need it
6) Understanding problems in patient flow and urgent care
7) Effectively design and evaluate quality improvement projects to improve the effectiveness of healthcare delivery
8) Identify and target interventions for patients at higher risk of needing increased care
9) Targeted supported self-management care pathway for people with frailty, targeted at those most likely to gain benefit, to improve quality of life in older age
10) Develop risk prediction models that will identify children at risk of hospital admission and redesign care pathways to promote preventative care and appropriate adherence.
11) Identify patterns in childhood to help BTHFT understand how obesity affects the population in Bradford and to target interventions to prevent obesity in children
12) Frailty affects adulthood and one in ten people aged over 65 and up to half of those aged over 85. The presence of frailty identifies a subgroup of older people with multi-morbidity at especially high risk of adverse outcomes including falls, disability, hospitalisation, loneliness, care home admission and death.
13) proportion of older people who utilise hospital services
14)To identify health needs of childhood population diagnosed with autism or at risk of being diagnosed with autism
15) proportion of children that have autism diagnosis using hospital services
Outputs:
For the four areas of childhood obesity, autism and asthma and elderly frailty, BTHFT expect to identify early indicators, risk factors and the current pathways.
A specific researcher based at the Bradford Institute for Health Research will analyse the HES data in HDIS to identify these elements. A report will be produced as a result of informal discussions with the statistician and the chief investigator to discuss what HES data would be useful to the child health and elderly frailty projects.
The use of HDIS in the early stages will help define the expected requirement for a HES extract in future. It may also indicate which care pathways should be analysed in more detail.
The outputs will only contain recommendations on further use of HES data. All outputs will contain only data that is aggregated with small numbers suppressed in line with the HES Analysis Guide.
Further work is expected in the future, using a HES extract, to model care pathways and alternative pathways (offering mitigation, risk reduction and cost/benefit savings to the NHS) will be produced.
Processing:
HDIS will be only be accessed by an analyst at the Bradford Institute for Health Research (BIHR). BIHR employees have Bradford Teaching Hospitals NHS Foundation Trust (BTHFT) employment contracts.
No data is being sent as part of this request by BTHFT to NHS Digital.
This application/agreement is for online access to the record-level HES database via the HDIS system. The system is hosted and audited by NHS Digital meaning that large transfers of data to on-site servers is reduced and NHS Digital has the ability to audit the use and access to the data. Users are only permitted to download aggregated data (which may contain small numbers) from the system. Downloading of record-level data or record-level linkage is not permitted under this agreement.
HDIS is accessed via a two-factor secure authentication method to approved users who are in receipt of an encryption token ID. Users have to attend training before the account is set up and users are only permitted to access the datasets that are agreed within this agreement. Users log onto the HDIS system and are presented with a SAS software application called Enterprise Guide which presents the users with a list of available data sets and available reference data tables so that they can return appropriate descriptions to the coded data.
The access and use of the system is fully auditable and all users have to comply with the use of the data as specified in this agreement. The software tool also provides users with the ability to perform full data minimisation and filtering of the HES data as part of processing activities. Users are not permitted to upload data into the system.
HDIS will provide BTHFT with access to all HES data available through HDIS but only a filtered subset will be used by BTHFT for this feasibility assessment. The filtered subset will only include data for Bradford and Airedale Trusts.
There will be no linkage with other record-level data, nor will there be any attempt to re-identify an individual through the use of the data.
It is not expected that the HDIS will provide BTHFT with information required to identify early indicators, risk factors and current pathways due to the fact that the data is only available online and cannot be downloaded. Further requests for HES extracts may provide this information.
If identified as feasible BTHFT will use this information to identify early indicators, risk factors and current pathways in relation to childhood obesity and asthma and elderly frailty.
BTHFT expect to identify the following for the Bradford population:
i. child health - childhood obesity related episodes
ii. child health – childhood asthma episodes
iii. elderly frailty population related episodes
iv. child health – childhood autism episodes
From these episodes, BTHFT will also be able to determine:
a) time to be seen by a consultant
b) time for treatment
c) admittance to emergency care during the day and night including any patterns
d) target population by ethnicity, age or geographical location
e) length of stays
f) inpatient and outpatient information
These will then inform the process to request HES data that can be downloaded at BTHFT.