Dynamic models to predict health outcomes: current status and methodological challenges

DA Jenkins, M Sperrin, GP Martin, N Peek - Diagnostic and prognostic …, 2018 - Springer
Background Disease populations, clinical practice, and healthcare systems are constantly
evolving. This can result in clinical prediction models quickly becoming outdated and less …

Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?

DA Jenkins, GP Martin, M Sperrin, RD Riley… - Diagnostic and …, 2021 - Springer
Clinical prediction models (CPMs) have become fundamental for risk stratification across
healthcare. The CPM pipeline (development, validation, deployment, and impact …

Achievements in congenital heart defect surgery: a prospective, 40-year study of 7038 patients

G Erikssen, K Liestøl, E Seem, S Birkeland… - Circulation, 2015 - Am Heart Assoc
Background—This article presents an update of the results achieved by modern surgery in
congenital heart defects (CHDs) over the past 40 years regarding survival and the need for …

Outcome of cardiac surgery in patients with congenital heart disease in England between 1997 and 2015

A Kempny, K Dimopoulos, A Uebing, GP Diller… - PLoS …, 2017 - journals.plos.org
Background The number of patients with congenital heart disease (CHD) is increasing
worldwide and most of them will require cardiac surgery, once or more, during their lifetime …

The Society of Thoracic Surgeons congenital heart surgery database: 2017 update on outcomes and quality

JP Jacobs, JE Mayer Jr, C Mavroudis… - The Annals of thoracic …, 2017 - Elsevier
The Society of Thoracic Surgeons Congenital Heart Surgery Database is the largest
congenital and pediatric cardiac surgical clinical data registry in the world. It is the platform …

Operational research as implementation science: definitions, challenges and research priorities

T Monks - Implementation Science, 2015 - Springer
Background Operational research (OR) is the discipline of using models, either quantitative
or qualitative, to aid decision-making in complex implementation problems. The methods of …

Measuring the quality of perioperative care in cardiac surgery

TG Coulson, DV Mullany, CM Reid… - … Journal–Quality of …, 2017 - academic.oup.com
Quality of care is of increasing importance in health and surgical care. In order to maintain
and improve quality, we must be able to measure it and identify variation. In this narrative …

[HTML][HTML] Improving risk adjustment for mortality after pediatric cardiac surgery: the UK PRAiS2 model

L Rogers, KL Brown, RC Franklin, G Ambler… - The Annals of thoracic …, 2017 - Elsevier
Background Partial Risk Adjustment in Surgery (PRAiS), a risk model for 30-day mortality
after children's heart surgery, has been used by the UK National Congenital Heart Disease …

Standardized mortality ratios

P Taylor - International journal of epidemiology, 2013 - academic.oup.com
Mortality rates are increasingly used to compare the performance of hospitals and of units
within hospitals. Different approaches have been taken to develop 'standardized'measures …

The Perioperative Quality Improvement Programme (PQIP patient study): protocol for a UK multicentre, prospective cohort study to measure quality of care and …

SR Moonesinghe, D McGuckin, P Martin, J Bedford… - Perioperative …, 2022 - Springer
Introduction Major surgery accounts for a substantial proportion of health service activity,
due not only to the primary procedure, but the longer-term health implications of poor short …