» Articles » PMID: 18617664

Factors That Influence the Stroke Care Team's Effectiveness in Reducing the Length of Hospital Stay

Overview
Journal Stroke
Date 2008 Jul 12
PMID 18617664
Citations 17
Authors
Affiliations
Soon will be listed here.
Abstract

Background And Purpose: The purpose of this study was to explore the effects of a quality improvement program for improving stroke care and the determinants of success at the team and hospital levels. Method- For 16 months, 23 multidisciplinary stroke service teams participated in a quality improvement collaborative designed to set up stroke services and reduce the length of hospital stay (LOHS). We monitored the LOHS and the discharge delay during the project and measured indicators of well organized stroke services at baseline and after the intervention. A multiple and multilevel regression model was used to relate the outcome variables to the team and hospital characteristics. National LOHS figures served as reference data.

Results: Data regarding 4549 stroke patients were included in the analyses. The LOHS decreased significantly from 18.3 to 13.3 days. The mean LOHS varied substantially (9.2 to 20.9 days) after the intervention. Teams with higher team functioning scores showed lower LOHS scores and higher scores for the indicators of well organized stroke services. Team characteristics explain almost 40% of the variance in LOHS and 53% in the indicators of well organized stroke care.

Conclusions: Participation in a national quality improvement collaborative effected a significant decrease of the LOHS and a significant increase in the presence of key features of stroke services. Variation in ability to reduce the LOHS and increase key features of stroke services were related to team functioning. The data suggest that the composite of team functioning is pivotal in quality-of-care improvement and may need specific attention in any quality improvement program.

Citing Articles

Team is brain: leveraging EHR audit log data for new insights into acute care processes.

Rose C, Thombley R, Noshad M, Lu Y, Clancy H, Schlessinger D J Am Med Inform Assoc. 2022; 30(1):8-15.

PMID: 36303451 PMC: 9748597. DOI: 10.1093/jamia/ocac201.


The effectiveness of quality improvement collaboratives in improving stroke care and the facilitators and barriers to their implementation: a systematic review.

Lowther H, Harrison J, Hill J, Gaskins N, Lazo K, Clegg A Implement Sci. 2021; 16(1):95.

PMID: 34732211 PMC: 8564999. DOI: 10.1186/s13012-021-01162-8.


Incidence and prevalence of moyamoya disease in urban China: a nationwide retrospective cohort study.

Sun Y, Zhou G, Feng J, Chen L, Liu G, Wang J Stroke Vasc Neurol. 2021; 6(4):615-623.

PMID: 33941642 PMC: 8717778. DOI: 10.1136/svn-2021-000909.


Collaborative capacity and patient-centered care in the Veterans' Health Administration Community Living Centers.

Sullivan J, Weinburg D, Gidmark S, Engle R, Parker V, Tyler D Int J Care Coord. 2020; 22(2):90-99.

PMID: 32670596 PMC: 7362961. DOI: 10.1177/2053434519858028.


How and under what circumstances do quality improvement collaboratives lead to better outcomes? A systematic review.

Zamboni K, Baker U, Tyagi M, Schellenberg J, Hill Z, Hanson C Implement Sci. 2020; 15(1):27.

PMID: 32366269 PMC: 7199331. DOI: 10.1186/s13012-020-0978-z.