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A Method for Attributing Patient-Level Metrics to Rotating Providers in an Inpatient Setting.
Herzke, Carrie A; Michtalik, Henry J; Durkin, Nowella; Finkelstein, Joseph; Deutschendorf, Amy; Miller, Jason; Leung, Curtis; Brotman, Daniel J.
Afiliación
  • Herzke CA; Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA. cherzke1@jhmi.edu.
  • Michtalik HJ; Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Durkin N; Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Finkelstein J; Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Deutschendorf A; Department of Administrative Services, Johns Hopkins Health System and School of Nursing, Johns Hopkins University, Baltimore, Maryland, USA.
  • Miller J; Department of Administrative Services, Johns Hopkins Health System and School of Nursing, Johns Hopkins University, Baltimore, Maryland, USA.
  • Leung C; Department of Administrative Services, Johns Hopkins Health System and School of Nursing, Johns Hopkins University, Baltimore, Maryland, USA.
  • Brotman DJ; Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
J Hosp Med ; 13(7): 470-475, 2018 07 01.
Article en En | MEDLINE | ID: mdl-29261820
ABSTRACT

BACKGROUND:

Individual provider performance drives group metrics, and increasingly, individual providers are held accountable for these metrics. However, appropriate attribution can be challenging, particularly when multiple providers care for a single patient.

OBJECTIVE:

We sought to develop and operationalize individual provider scorecards that fairly attribute patient-level metrics, such as length of stay and patient satisfaction, to individual hospitalists involved in each patient's care.

DESIGN:

Using patients cared for by hospitalists from July 2010 through June 2014, we linked billing data across each hospitalization to assign "ownership" of patient care based on the type, timing, and number of charges associated with each hospitalization (referred to as "provider day weighted "). These metrics were presented to providers via a dashboard that was updated quarterly with their performance (relative to their peers). For the purposes of this article, we compared the method we used to the traditional method of attribution, in which an entire hospitalization is attributed to 1 provider, based on the attending of record as labeled in the administrative data.

RESULTS:

Provider performance in the 2 methods was concordant 56% to 75% of the time for top half versus bottom half performance (which would be expected to occur by chance 50% of the time). While provider percentile differences between the 2 methods were modest for most providers, there were some providers for whom the methods yielded dramatically different results for 1 or more metrics.

CONCLUSION:

We found potentially meaningful discrepancies in how well providers scored (relative to their peers) based on the method used for attribution. We demonstrate that it is possible to generate meaningful provider-level metrics from administrative data by using billing data even when multiple providers care for 1 patient over the course of a hospitalization.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Médicos Hospitalarios / Atención al Paciente / Pacientes Internos Límite: Humans Idioma: En Revista: J Hosp Med Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Médicos Hospitalarios / Atención al Paciente / Pacientes Internos Límite: Humans Idioma: En Revista: J Hosp Med Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos