Variation between hospitals in outcomes following cardiac surgery in the UK

G Soppa1, P Theodoropoulos1, R Bilkhu1

  • 1Department of Cardiothoracic Surgery, St. George's Hospital , London , UK.

Insights

Hospital variations in cardiac surgery provision exist in the UK, but no clear link was found between these factors and patient outcomes. Further research is needed to understand variations in cardiac surgery care and outcomes.

Area of Science:

  • Cardiovascular Surgery
  • Health Services Research
  • Quality Improvement

Background:

  • Cardiac surgery units in the UK have historically led in reporting surgeon-specific outcomes.
  • This study investigates hospital-level factors influencing cardiac surgery outcomes beyond individual surgeon performance.
  • The research aims to identify factors for adoption by other surgical specialties.

Purpose of the Study:

  • To examine the impact of hospital-level variations in UK cardiac surgery provision on patient outcomes.
  • To assess potential inequalities in healthcare access and delivery within cardiac surgery.
  • To identify non-surgeon factors affecting surgical outcomes.

Main Methods:

  • Retrospective analysis of prospectively collected data (2013-2016) from 16 UK cardiac surgical units.
  • Inclusion of patient demographics, risk factors, postoperative complications, in-hospital mortality, and hospital-level data (beds, operating theatres).
  • Statistical analysis using Pearson's correlation coefficient and univariable/multivariable regression models.

Main Results:

  • Analysis of 50,871 patients, with 25% over 75 years and 29% female.
  • Significant variation observed in patient comorbidities, bed distribution, and staffing across units.
  • Median survival was 97.9%; variations in outcomes and complications (e.g., re-sternotomy, mediastinitis) were noted between hospitals, but no significant association with hospital-level factors in multivariable models.

Conclusions:

  • Hospital-level factors vary in cardiac surgery delivery and outcomes across the UK.
  • No clear association was found between these hospital-level factors and patient outcomes.
  • Discrepancies may stem from outcome definition, uncaptured risk factors, or individual team performance.
Abstract

Related Concept Videos

Hospitals-II00:59

Hospitals-II

Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in...
1.2K
Hospitals-I01:28

Hospitals-I

Hospitals offer medical and surgical care to the sick and injured, along with accommodation while they recover. At the same time, they also provide outpatient, emergency, psychiatric, and rehabilitation services to meet various community needs. In addition to providing medical care, hospitals also act as hubs for medical research and training. Hospitals use clinical procedures and evidence-based practice standards to deliver patient care. To deliver safe and efficient care, a nurse must stay up...
1.6K
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
6.8K
What is Variation?01:14

What is Variation?

Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.4K
Variation01:19

Variation

An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
8.0K
Variation of Atmospheric Pressure01:18

Variation of Atmospheric Pressure

Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
4.1K