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Identifying and Addressing Avoidable Readmissions Following Hip Fracture

Population Size

5,526

People

Years

2019 - 2023

Associated BioSamples

None/not available

Geographic coverage

https://www.geonames.org/2634343/west-midlands.html

Lead time

1-2 months

Summary

Highly granular dataset of >5800 patients with a hip fracture including demographics, vital signs, acuity scores, clinical assessments, investigations, laboratory and imaging results, medications, surgeries, outcomes, and readmissions.

Documentation

Hip fractures remain a significant public health issue, despite improvements in survival rates. While mortality has decreased, readmission rates within 30 days of discharge have steadily increased. This is concerning as re-admissions are associated with increased mortality and substantial healthcare costs.

Factors contributing to readmissions are complex and multifaceted. While some, such as age, are non-modifiable, others, like complications related to care delivery, are potentially avoidable. However, there is a lack of consensus on what constitutes an "avoidable" readmission.

Birmingham Heartlands Hospital treats a high volume of hip fracture patients. This population is often characterized by socioeconomic disparities, which can exacerbate health inequalities and impact outcomes. Understanding how to reduce avoidable readmissions in this context is a priority.

This dataset offers opportunities to understand risk associated with hip fracture and it management, and build strategies to avoid poor outcomes and readmissions.

Geography: The West Midlands (WM) has a population of 6 million & includes a diverse ethnic & socio-economic mix. UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & > 120 ITU bed capacity. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

Dataset type
Health and disease, Measurements/Tests, Lifestyle
Dataset sub-type
Not applicable
Dataset population size
5526

Keywords

Hip Fracture,, NOF, Readmission, Avoidable Readmission, Patient Safety, Quality Improvement, Risk Stratification, Predictive Modeling, Post-Discharge Care, Transitional Care, Healthcare Utilisation

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

Patients with hip fracture diagnoses

5526

Count

30 Jul 2024

Provenance

Purpose of dataset collection
Care
Source of data extraction
EPR
Collection source setting
Secondary care - Accident and Emergency, Secondary care - In-patients
Patient pathway description
Data is representative of the multi-ethnicity population within the West Midlands (42% non white). Data includes all patients admitted during this timeframe, with National data Opt Outs applied, and therefore is representative of admissions to secondary care. Data focuses on in-patient stay in hospital during the acute episode but can be supplemented on request to include previous and subsequent hospital contacts (including outpatient appointments) and ambulance, 111, 999 data.
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Quarterly
Version
2.0.0
Modified

30/10/2024

Distribution release date

30/10/2024

Citation Requirements
This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)

Coverage

Start date

01/01/2019

End date

31/12/2023

Time lag
Less than 1 week
Minimum age range
65
Maximum age range
103
Follow-up
0 - 6 Months

Accessibility

Language
en
Alignment with standardised data models
LOCAL
Controlled vocabulary
ICD10, SNOMED CT, OPCS4
Format
SQL, csv, Excel

Data Access Request

Dataset pipeline status
Available
Time to dataset access
1-2 months
Access request cost
www.pioneerdatahub.co.uk/data/data-services-costs/
Access method category
TRE/SDE
Access service description

Trusted Research Environments (TRE) are built using Microsoft Azure services and hosted in the UK to provide research teams a safe, secure and agile environment which allows users to quickly analyse, interpret and form an enriched view of primary care information through a range of integrated datasets.

Health data collated from multiple sources is ingested into a secure data lake which will then allow subsets of data to be made available to research teams on approval of a data request. Once approved a customer specific TRE is made available with a standard set of leading analytical tools from Microsoft including Azure Databricks, Azure Machine Learning, Azure SQL and Azure Synapse (for large-scale data warehouses). Specific tools can be provided at an additional cost over the standard platform data access charge and the PIONEER team will work with you to determine your exact needs.

Access to the TRE is managed using the latest virtual desktop technology to provide a safe and secure end-user experience. By utilising leading edge design PIONEER are able to create TREs rapidly to enable us to service any customer requirement.

Jurisdiction
GB-ENG
Data use limitation
General research use
Data use requirements
Project-specific restrictions
Data Controller
University Hospitals Birmingham NHS Foundation Trust
Data Processor
NOT APPLICABLE

Dataset Types: Health and disease, Measurements/Tests, Lifestyle


Collection Sources: Secondary care - Accident and Emergency, Secondary care - In-patients