Validation of discharge diagnosis codes to identify serious infections among middle age and older adults

Clicks: 403
ID: 270054
2018
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #55 of 442 articles by views in BMJ open

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 442 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Discharge diagnosis codes have a high PPV for identifying hospitalisations for common, serious infections among middle age and older adults. PPV estimates for rare infections were imprecise.
Reference Key
ad2018bmjvalidation Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wiese AD;Griffin MR;Stein CM;Schaffner W;Greevy RA;Mitchel EF;Grijalva CG;;
Journal BMJ open
Year 2018
DOI
DOI not found
URL
http://www.ncbi.nlm.nih.gov/pubmed/29921683
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE humans pubmed abstract nih national institutes of health national library of medicine reproducibility of results research support algorithms female male N.I.H. Extramural aged middle aged 80 and over Retrospective Studies United States infections / diagnosis* predictive value of tests validation study infections / epidemiology* Carlos G Grijalva medical records / statistics & numerical data* pmid:29921683 pmc6009457 doi:10.1136/bmjopen-2017-020857 andrew d wiese marie r griffin clinical coding / statistics & numerical data* infections / classification international classification of diseases* medicaid patient discharge* tennessee / epidemiology

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.