U.S. hospital performance methodologies: a scoping review to identify opportunities for crossing the quality chasm.

Autor: Thomas Craig KJ; IBM® Watson Health® Center for AI, Research, and Evaluation, 75 Binney Street, Cambridge, MA, 02142, USA. kelly.jean.craig@ibm.com., McKillop MM; IBM® Watson Health® Center for AI, Research, and Evaluation, 75 Binney Street, Cambridge, MA, 02142, USA., Huang HT; IBM® Watson Health® Center for AI, Research, and Evaluation, 75 Binney Street, Cambridge, MA, 02142, USA., George J; IBM® Watson Health® Center for AI, Research, and Evaluation, 75 Binney Street, Cambridge, MA, 02142, USA., Punwani ES; IBM® Watson Health® Center for AI, Research, and Evaluation, 75 Binney Street, Cambridge, MA, 02142, USA., Rhee KB; IBM® Watson Health® Center for AI, Research, and Evaluation, 75 Binney Street, Cambridge, MA, 02142, USA.
Jazyk: angličtina
Zdroj: BMC health services research [BMC Health Serv Res] 2020 Jul 10; Vol. 20 (1), pp. 640. Date of Electronic Publication: 2020 Jul 10.
DOI: 10.1186/s12913-020-05503-z
Abstrakt: Background: Hospital performance quality assessments inform patients, providers, payers, and purchasers in making healthcare decisions. These assessments have been developed by government, private and non-profit organizations, and academic institutions. Given the number and variability in available assessments, a knowledge gap exists regarding what assessments are available and how each assessment measures quality to identify top performing hospitals. This study aims to: (a) comprehensively identify current hospital performance assessments, (b) compare quality measures from each methodology in the context of the Institute of Medicine's (IOM) six domains of STEEEP (safety, timeliness, effectiveness, efficiency, equitable, and patient-centeredness), and (c) formulate policy recommendations that improve value-based, patient-centered care to address identified gaps.
Methods: A scoping review was conducted using a systematic search of MEDLINE and the grey literature along with handsearching to identify studies that provide assessments of US-based hospital performance whereby the study cohort examined a minimum of 250 hospitals in the last two years (2017-2019).
Results: From 3058 unique records screened, 19 hospital performance assessments met inclusion criteria. Methodologies were analyzed across each assessment and measures were mapped to STEEEP. While safety and effectiveness were commonly identified measures across assessments, efficiency, and patient-centeredness were less frequently represented. Equity measures were also limited to risk- and severity-adjustment methods to balance patient characteristics across populations, rather than stand-alone indicators to evaluate health disparities that may contribute to community-level inequities.
Conclusions: To further improve health and healthcare value-based decision-making, there remains a need for methodological transparency across assessments and the standardization of consensus-based measures that reflect the IOM's quality framework. Additionally, a large opportunity exists to improve the assessment of health equity in the communities that hospitals serve.
Databáze: MEDLINE
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