2010
DOI: 10.1186/1745-6215-11-5
|View full text |Cite
|
Sign up to set email alerts
|

Improving the management of non-ST elevation acute coronary syndromes: systematic evaluation of a quality improvement programme E uropean QU ality I mprovement P rogramme for A cute C oronary S yndrome: The EQUIP-ACS project protocol and design

Abstract: BackgroundAcute coronary syndromes, including myocardial infarction and unstable angina, are important causes of premature mortality, morbidity and hospital admissions. Acute coronary syndromes consume large amounts of health care resources, and have a major negative economic and social impact through days lost at work, support for disability, and coping with the psychological consequences of illness. Several registries have shown that evidence based treatments are under-utilised in this patient population, pa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
6
0

Year Published

2010
2010
2023
2023

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 12 publications
(6 citation statements)
references
References 29 publications
0
6
0
Order By: Relevance
“…Apart from specific new therapies, there are also many more efficient ways to deliver existing treatments and the concept of improving the quality of care is growing through observational studies and randomized trials [26]. Finally, there are the major issues of cost and regulation in conducting trials in ACS.…”
Section: Discussionmentioning
confidence: 99%
“…Apart from specific new therapies, there are also many more efficient ways to deliver existing treatments and the concept of improving the quality of care is growing through observational studies and randomized trials [26]. Finally, there are the major issues of cost and regulation in conducting trials in ACS.…”
Section: Discussionmentioning
confidence: 99%
“…The Pearson χ 2 and Wilcoxon rank sum tests were used to compare categorical and continuous variables, which are summarized as the percentage and median (IQR), respectively. We used multilevel mixed-effects regression models to examine the association of NCPCP with the quality of service provision for male and female patients with ACS, with adjustment for clustering at the hospital level and allowing for hospital-level estimates as random effects . The statistical models were evaluated for goodness of fit using likelihood ratio tests.…”
Section: Methodsmentioning
confidence: 99%
“…We used a multilevel mixed‐effects linear regression model to examine factors associated with medical staff engagement and evaluation of the QI program, adjusting for clustering at hospital level and allowing for hospital‐level estimates as random effects. 28 , 29 The goodness of fit for statistical models was evaluated using likelihood ratio tests. Engagement was measured as a continuous variable, whereas behavior changes, satisfaction, and sustainability of the QI program were measured as dichotomous variables.…”
Section: Methodsmentioning
confidence: 99%