Identifying Nonprovider Factors Affecting Pediatric Emergency Medicine Provider Efficiency.
Efficiency
Efficiency, Organizational
/ statistics & numerical data
Emergency Service, Hospital
/ organization & administration
Health Personnel
/ organization & administration
Humans
Linear Models
Models, Theoretical
Outcome Assessment, Health Care
Pediatric Emergency Medicine
/ organization & administration
Retrospective Studies
Time Factors
Workload
/ statistics & numerical data
Journal
Pediatric emergency care
ISSN: 1535-1815
Titre abrégé: Pediatr Emerg Care
Pays: United States
ID NLM: 8507560
Informations de publication
Date de publication:
Feb 2020
Feb 2020
Historique:
pubmed:
3
11
2017
medline:
20
11
2020
entrez:
3
11
2017
Statut:
ppublish
Résumé
The aim of this study was to create a multivariable model of standardized relative value units per hour by adjusting for nonprovider factors that influence efficiency. We obtained productivity data based on billing records measured in emergency relative value units for (1) both evaluation and management of visits and (2) procedures for 16 pediatric emergency medicine providers with more than 750 hours worked per year. Eligible shifts were in an urban, academic pediatric emergency department (ED) with 2 sites: a tertiary care main campus and a satellite community site. We used multivariable linear regression to adjust for the impact of shift and pediatric ED characteristics on individual-provider efficiency and then removed variables from the model with minimal effect on productivity. There were 2998 eligible shifts for the 16 providers during a 3-year period. The resulting model included 4 variables when looking at both ED sites combined. These variables include the following: (1) number of procedures billed by provider, (2) season of the year, (3) shift start time, and (4) day of week. Results were improved when we separately modeled each ED location. A 3-variable model using procedures billed by provider, shift start time, and season explained 23% of the variation in provider efficiency at the academic ED site. A 3-variable model using procedures billed by provider, patient arrivals per hour, and shift start time explained 45% of the variation in provider efficiency at the satellite ED site. Several nonprovider factors affect provider efficiency. These factors should be considered when designing productivity-based incentives.
Identifiants
pubmed: 29095388
doi: 10.1097/PEC.0000000000001328
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM