Version: 0.0.2 | Published: 20 Nov 2023 | Updated: 549 days ago
Summary
DOI Name:
Not Available
Documentation
Description:
The North-West London Electronic Frailty Index (NWL EFI) refers to a dataset that contains information related to the assessment and measurement of frailty using electronic health records in the North-West London region. Frailty is a multidimensional syndrome characterized by decreased physiological reserves and increased vulnerability to adverse health outcomes. The NWL EFI dataset is designed to capture and analyze data pertaining to various domains of frailty, including physical, cognitive, and psychosocial aspects, using electronic health records. It may include information on demographic factors, medical history, medication usage, functional status, cognitive function, social support, and other relevant clinical and health-related data. The dataset typically includes variables such as age, gender, comorbidities, medication usage, laboratory test results, functional assessments (e.g., activities of daily living, mobility), cognitive assessments (e.g., Mini-Mental State Examination), and psychosocial assessments (e.g., social isolation, depression screening). It may incorporate specific algorithms or scoring systems used to calculate an individual's frailty index based on these variables. The NWL EFI dataset serves several purposes. It provides a valuable resource for researchers, healthcare professionals, and policymakers to study frailty prevalence, understand the factors contributing to frailty, and develop targeted interventions for frailty prevention and management. Healthcare providers can utilize the NWL EFI dataset to identify individuals at risk of frailty and implement appropriate interventions to optimize their health and well-being. It supports proactive care planning, risk stratification, and the delivery of person-centered care for individuals with frailty, aiming to improve their quality of life and prevent adverse health outcomes. Policymakers and public health officials can use the NWL EFI dataset to inform strategies for frailty prevention, early detection, and integrated care delivery. By understanding the distribution of frailty and its associated factors within the population, targeted interventions and health promotion programs can be designed to address the specific needs of individuals at risk of or living with frailty. The NWL EFI dataset may also facilitate research on frailty outcomes, interventions, and healthcare utilization. By analyzing the data, researchers can evaluate the effectiveness of interventions, identify gaps in care, and develop evidence-based guidelines for managing frailty in the North-West London region. It is important to note that access to the NWL EFI dataset and the specific data elements it contains may be subject to privacy regulations and governance frameworks. For more detailed information about the dataset, including its availability, specific variables, and usage guidelines, it is recommended to consult the relevant healthcare authorities or organizations responsible for managing and maintaining the NWL EFI dataset in the North-West London region.
Is Part Of:
WSIC
Coverage
Spatial:
NHS Brent CCG; NHS Central London CCG; NHS Ealing CCG; NHS Hammersmith &Fulham
CCG; NHS Harrow CCG; NHS Hillingdon CCG; NHS Hounslow CCG; NHS West London CCG
Typical Age Range:
0-150
Follow Up:
> 10 YEARS
Physical Sample Availability:
NOT AVAILABLE
Provenance
Origin
Purposes:
- ADMINISTRATIVE
- CARE
- OTHER
Sources:
OTHER
Collection Situations:
OTHER
Temporal
Accrual Periodicity:
OTHER
Time Lag:
OTHER
Accessibility
Access
Jurisdictions:
GB
Data Controller:
Joint data controller model across North West London
Data Processor:
NHS BRENT CCG
Usage
Data Use Limitations:
NO RESTRICTION
Data Use Requirements:
- COLLABORATION REQUIRED
- GEOGRAPHICAL RESTRICTIONS
- PROJECT SPECIFIC RESTRICTIONS
- USER SPECIFIC RESTRICTION
Resource Creators:
- NHS NWL ICS
- Discover-NOW
Format and Standards
Vocabulary Encoding Schemes:
OTHER
Conforms To:
OTHER
Languages:
en
Formats:
OTHER
Origin
Name:
NWL Data Catalogue