Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Observational Study
. 2014 Aug;211(2):147.e1-147.e16.
doi: 10.1016/j.ajog.2014.03.017. Epub 2014 Mar 12.

Can differences in obstetric outcomes be explained by differences in the care provided? The MFMU Network APEX study

Collaborators, Affiliations
Observational Study

Can differences in obstetric outcomes be explained by differences in the care provided? The MFMU Network APEX study

William A Grobman et al. Am J Obstet Gynecol. 2014 Aug.

Abstract

Objective: The purpose of this study was to determine whether hospital differences in the frequency of adverse obstetric outcomes are related to differences in care.

Study design: The Assessment of Perinatal EXcellence cohort comprises 115,502 women and their neonates who were born in 25 hospitals in the United States between March 2008 and February 2011. Hierarchical logistic regression was used to quantify the amount of variation in postpartum hemorrhage, peripartum infection, severe perineal laceration, and a composite adverse neonatal outcome among hospitals that is explained by differences in patient characteristics, hospital characteristics, and obstetric care provided.

Results: The study included 115,502 women. For most outcomes, 20-40% of hospital differences in outcomes were related to differences in patient populations. After adjusting for patient-, provider-, and hospital-level factors, multiple care processes were associated with the predefined adverse outcomes; however, these care processes did not explain significant variation in the frequency of adverse outcomes among hospitals. Ultimately, 50-100% of the interhospital variation in outcomes was unexplained.

Conclusion: Hospital differences in the frequency of adverse obstetric outcomes could not be explained by differences in frequency of types of care provided.

Keywords: obstetrics; quality care; quality measures.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Disclosures: The authors have no disclosures

Comment in

References

    1. Lilford R, Mohammed MA, Spiegelhalter D, Thomson R. Use and misuse of process and outcome data in managing performance of acute medical care: avoiding institutional stigma. Lancet. 2004;363:1147–1154. - PubMed
    1. Pronovost PJ, Thompson DA, Holzmueller CG, Lubomski LH, Morlock LL. Defining and measuring patient safety. Crit Care Clin. 2005;21:1–19. - PubMed
    1. Aron DC, Harper DL, Shepardson LB, Rosenthal GE. Impact of risk-adjusting cesarean delivery rates when reporting hospital performance. JAMA. 1998;279:1968–1972. - PubMed
    1. Grobman WA, Feinglass J, Murthy S. Are the Agency for Healthcare Research and Quality obstetric trauma indicators valid measures of hospital safety? Am J Obstet Gynecol. 2006;195:868–874. - PubMed
    1. Draycott T, Sibanda T, Laxton C, Winter C, Mahmood T, Fox R. Quality improvement demands quality measurement. BJOG. 2010;117:1571–1574. - PubMed

Publication types

MeSH terms

Grants and funding