Investigating Variation in Hospital Acute Coronary Syndrome Outcomes
To investigate the causes of hospital variation in outcomes from acute coronary syndromes in England and develop recommendations for improving patient care.
Acute Myocardial Infarction
|Study Type:||Observational [Patient Registry]|
|Study Design:||Observational Model: Cohort
Time Perspective: Prospective
|Target Follow-Up Duration:||12 Months|
|Official Title:||Evaluation of the Methods and Management of Acute Coronary Events: 3. Investigating Variation in Hospital Acute Coronary Syndrome Outcomes|
- delays to treatment [ Time Frame: 12 months ] [ Designated as safety issue: Yes ]Quantification of hospital attributable effects relating to early and late mortality
- Describing trajectories of quality of life recovery patterns [ Time Frame: 12 month ] [ Designated as safety issue: Yes ]Describing trajectories of quality of life recovery patterns
- Develop a risk score and a near-point risk Acute Coronary Syndrome model [ Time Frame: two years ] [ Designated as safety issue: Yes ]Develop a risk score and a near-point risk Acute Coronary Syndrome model
Biospecimen Retention: Samples With DNA
|Study Start Date:||February 2011|
|Study Completion Date:||February 2013|
|Primary Completion Date:||February 2013 (Final data collection date for primary outcome measure)|
Acute myocardial infarction
patient with suspected acute coronary syndrome (ACS).
Over the last few years the chance of dying from a heart attack in England and Wales has reduced dramatically. Even so, there remain huge differences in mortality between hospitals. For example, up to a third of patients with a heart attack who attend hospitals in England are more likely to die than would be expected. That is, the type of treatment and the risk of death depends upon where a patient lives and which hospital they attend. In part, the variation in death may be due to the services available at the hospital or to factors such as socioeconomic deprivation. It may also relate to other factors such as depression, cardiac rehabilitation and whether patients take their medication after discharge from hospital. Using powerful statistical approaches that include measures of quality of life, we propose to examine data about heart attacks in England and investigate the 'postcode lottery of care'. Our aim, using regional data about heart attacks is to identify and measure the effects of hospital care. This research will identify hospital qualities that promote improved patient care. In doing so, best practice will be highlighted and healthcare policy changed so that all patients will have an equal chance of surviving a heart attack.