OHDSI / OHDSI/FeatureExtraction
EHR-based electronic frailty index
- Dominant language
- R
- Stars
- 74
- Forks
- 63
- PR merge metrics
- No merged PRs in 30d
Description
The electronic frailty index (eFI) was developed and validated using primary care data of over 900,000 people aged $\geq$65 years in England (Clegg et el, 2016). It cosiders 36 deficits (comorbidities, symptoms, disabilities, abnormal lab values, and polupharmacy), calculcuted directly from EHRs. NHS England anticipate eFI “being used frequently as it: (1) has been externally validated using routine primary care data and its use is recommended in NICE Guideline 56 on Multimorbidity; (2) is available in all GP practices and therefore promotes consistency; (3) uses existing GP data and therefore requires no additional resource” (link).
eFI seems a valuable feature in studies concerning the elderly, alongside the hospital frailty risk score (HFRS), which Seng Chan You implemented back in 2018 (OHDSI Forum post).
@anthonysena
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing linked pull request #173 and the existing hospital frailty risk score implementation referenced in the issue and OHDSI Forum post. Done means FeatureExtraction supports the 36-deficit electronic frailty index for EHR-based studies, with the requested approach validated against the cited eFI definition.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100