";s:4:"text";s:5946:" However, as eFI is available in all GP practices, NHS England anticipate this being used frequently as it:The eFI is not a clinical diagnostic tool; it is a population risk stratification tool which identifies groups of people who are likely to be living with varying degrees of frailty but it is not able to do this for specific individuals. It is made up of 36 deficits comprising around 2,000 Read codes.
However, in some practices this number may be significantly higher.
Therefore, when the eFI identifies an individual who may be living with severe or moderate frailty, direct clinical assessment and judgment should be applied to confirm a diagnosis.Some GP practices may have batch-coded a Read code diagnosis of frailty based solely on an eFI score, without clinical judgement confirming a diagnosis. Identifying people with frailty who could benefit from preventative interventions to enable them to live well for longer in their communities.The user guide provides brief background information on eFrailty, and will show you how to: view and navigate around SPIRE’s eFrailty Report and its underlying queries, and export data. The eFI uses a subset of these read codes to interpret any number of up to 36 potential deficits. This score determines whether a person is considered fit, mildly frail, moderately frail, or severely frail and nearing the end of their life. Screening tools proposed for primary care often involve additional workload. Aim To assess the feasibility and acceptability of using the eFI in primary care. The number of deficits that an individual is considered to have is then divided by the total (36) to produce a score. Batch-coding is where this process is undertaken for cohorts of people, effectively automating clinical diagnosis without clinical judgement. There are three main reasons for this:The aim of this approach is to support patients to live well for longer. The eFI uses a subset of these read codes to interpret any number of up to 36 potential deficits. These deficits include clinical signs (e.g.
We expect that this approach will help reduce unwarranted hospital admissions as it will reduce the risk of people experiencing two of the major frailty syndromes; falls and adverse effects of medication, which often result in hospital admission.
Nationally, we expect: The electronic frailty index (eFI) is a tool that can be used to identify people as they progress through different levels of frailty, and is based upon a person’s needs, rather than their service use.
The number of deficits that an individual is considered to have is then divided by the total (36) to produce a score. The electronic Frailty Index (eFI) has the potential to overcome this issue. The eFI consists of 36 deficits which have been constructed using around 2,000 primary care clinical codes (Read codes). vision problems), diseases, disabilities and abnormal test values.It is made up of 36 deficits comprising around 2,000 Read codes. As individuals interact with GPs, their GP records accumulate a list of read codes and community prescriptions.
This can be calculated for an individual or for a whole GP practice population over 65 years of age.Using eFI to identify people with lower levels of frailty, before they have significant unplanned service use, means these individuals can be targeted with appropriate preventative interventions.The film below provides information on how to access the eFI report in Scottish Primary Care Information Resource (SPIRE), and this information is also available in the guide below.To learn about our national improvement collaborative that aims to improve identification and support for people living with frailty please see our
Appendix D – Read Codes Using the electronic frailty index (eFI) Some GP EPRS are configured to convert the eFI index result into a diagnostic (Read) code for the electronic health record (EHR). This new requirement will affect a smaller proportion of patients across England and has more targeted evidence based interventions.The electronic frailty index (eFI) uses the existing information within the electronic primary health care record to identify populations of people aged 65 and over who may be living with varying degrees of frailty. Speaking at the recent RCGP annual conference in Liverpool, NHS England lead on integration and frail elderly care Professor John Young explained the read codes can be used to generate a cumulative electronic frailty index - eFI - that is ‘a really good predictive model of frailty’. Background Identifying frailty is key to providing appropriate treatment for older people at high risk of adverse health outcomes. The electronic frailty index (eFI) uses the existing information within the electronic primary health care record to identify populations of people aged 65 and over who may be living with varying degrees of frailty.
