Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017274412> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2017274412 abstract "Algorithms designed to precisely identify disease severity for a given patient within a managed care population are helpful in organizing targeted interventions. These algorithms are also attracting considerable attention within the medical research community. Several health risk screening instruments have been developed; however, these involve survey methodologies and have several shortcomings. We present a valid and efficient method for predicting healthcare resource utilization among asthmatics in an Health Maintenance Organization (HMO) population. First, various diagnosis, procedure and pharmacy billing codes were used to identify the asthmatics within the database. The screening algorithm awards points each time one of these codes is identified for an HMO member. By varying the number of points necessary to consider a patient asthmatic, the sensitivity, specificity, positive and negative predictive values of the algorithm can be adjusted. Once identified as asthmatic, subjects were then stratified into severity levels based on pharmacy data. Severity stratification was validated directly by measuring asthma-related bed days utilized during the 12 months following the date of stratification. Our identification algorithm estimated an asthma prevalence of 3.84% within the studied population, with age-specific prevalence estimates that closely mirrored previously published survey data. There was a monotonic relationship between pharmacy severity levels and inpatient resource utilization. For example, asthmatics in severity level 1 used only 92 hospital days per 1000 asthmatics in the year following characterization, while those in levels 2-5 used 133, 156, 277 and 1168 hospital days (P < 0.001), respectively. Results from this model can be used as adjusters in other predictive models or stand alone to represent a patient's severity of illness." @default.
- W2017274412 created "2016-06-24" @default.
- W2017274412 creator A5001342074 @default.
- W2017274412 creator A5008654275 @default.
- W2017274412 creator A5029447826 @default.
- W2017274412 creator A5031876488 @default.
- W2017274412 creator A5037191310 @default.
- W2017274412 creator A5039347695 @default.
- W2017274412 date "1999-11-01" @default.
- W2017274412 modified "2023-09-28" @default.
- W2017274412 title "Pharmaceutically-based severity stratification of an asthmatic population" @default.
- W2017274412 cites W1986401077 @default.
- W2017274412 doi "https://doi.org/10.1016/s0954-6111(99)90263-9" @default.
- W2017274412 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/10603627" @default.
- W2017274412 hasPublicationYear "1999" @default.
- W2017274412 type Work @default.
- W2017274412 sameAs 2017274412 @default.
- W2017274412 citedByCount "19" @default.
- W2017274412 countsByYear W20172744122017 @default.
- W2017274412 crossrefType "journal-article" @default.
- W2017274412 hasAuthorship W2017274412A5001342074 @default.
- W2017274412 hasAuthorship W2017274412A5008654275 @default.
- W2017274412 hasAuthorship W2017274412A5029447826 @default.
- W2017274412 hasAuthorship W2017274412A5031876488 @default.
- W2017274412 hasAuthorship W2017274412A5037191310 @default.
- W2017274412 hasAuthorship W2017274412A5039347695 @default.
- W2017274412 hasBestOaLocation W20172744121 @default.
- W2017274412 hasConcept C104863432 @default.
- W2017274412 hasConcept C118552586 @default.
- W2017274412 hasConcept C126322002 @default.
- W2017274412 hasConcept C160735492 @default.
- W2017274412 hasConcept C162324750 @default.
- W2017274412 hasConcept C177713679 @default.
- W2017274412 hasConcept C194828623 @default.
- W2017274412 hasConcept C27415008 @default.
- W2017274412 hasConcept C2776042228 @default.
- W2017274412 hasConcept C2908647359 @default.
- W2017274412 hasConcept C3020404979 @default.
- W2017274412 hasConcept C45827449 @default.
- W2017274412 hasConcept C50522688 @default.
- W2017274412 hasConcept C512399662 @default.
- W2017274412 hasConcept C71924100 @default.
- W2017274412 hasConcept C99454951 @default.
- W2017274412 hasConceptScore W2017274412C104863432 @default.
- W2017274412 hasConceptScore W2017274412C118552586 @default.
- W2017274412 hasConceptScore W2017274412C126322002 @default.
- W2017274412 hasConceptScore W2017274412C160735492 @default.
- W2017274412 hasConceptScore W2017274412C162324750 @default.
- W2017274412 hasConceptScore W2017274412C177713679 @default.
- W2017274412 hasConceptScore W2017274412C194828623 @default.
- W2017274412 hasConceptScore W2017274412C27415008 @default.
- W2017274412 hasConceptScore W2017274412C2776042228 @default.
- W2017274412 hasConceptScore W2017274412C2908647359 @default.
- W2017274412 hasConceptScore W2017274412C3020404979 @default.
- W2017274412 hasConceptScore W2017274412C45827449 @default.
- W2017274412 hasConceptScore W2017274412C50522688 @default.
- W2017274412 hasConceptScore W2017274412C512399662 @default.
- W2017274412 hasConceptScore W2017274412C71924100 @default.
- W2017274412 hasConceptScore W2017274412C99454951 @default.
- W2017274412 hasLocation W20172744121 @default.
- W2017274412 hasLocation W20172744122 @default.
- W2017274412 hasOpenAccess W2017274412 @default.
- W2017274412 hasPrimaryLocation W20172744121 @default.
- W2017274412 hasRelatedWork W1912226737 @default.
- W2017274412 hasRelatedWork W2006499560 @default.
- W2017274412 hasRelatedWork W2153402187 @default.
- W2017274412 hasRelatedWork W68525499 @default.
- W2017274412 isParatext "false" @default.
- W2017274412 isRetracted "false" @default.
- W2017274412 magId "2017274412" @default.
- W2017274412 workType "article" @default.