European Pathway Association

Most published prediction models for Coronavirus Disease 2019 (COVID-19) were poorly reported, at high risk of bias, and heterogeneous in model performance. To tackle methodological challenges faced in previous prediction studies, we investigated whether model updating and extending improves mortality prediction, using the Intensive Care Unit (ICU) as a proxy. All COVID-19 patients admitted to seven ICUs in the Euregio-Meuse Rhine during the first pandemic wave were included. The 4C Mortality and SEIMC scores were selected as promising prognostic models from an external validation study. Five predictors could be estimated based on cohort size. TRIPOD guidelines were followed and logistic regression analyses with the linear predictor, APACHE II score, and country were performed. Bootstrapping with backward selection was applied to select variables for the final model. Additionally, shrinkage was performed. Model discrimination was displayed as optimism-corrected areas under the ROC curve and calibration by calibration slopes and plots. The mortality rate of the 551 included patients was 36%. Discrimination of the 4C Mortality and SEIMC scores increased from 0.70 to 0.74 and 0.70 to 0.73 and calibration plots improved compared to the original models after updating and extending. Mortality prediction can be improved after updating and extending of promising models.

sponsorship: None. Open Access funding enabled and organized by Projekt DEAL. (Projekt DEAL)

During the last decades, perioperative care for patients with colorectal cancer has shifted towards more standardized care, so-called "enhanced recovery after surgery." Those programs aim to optimize interventions in perioperative care to decrease the rate of postoperative complications, improve patients' recovery, and shorten hospital stay. The purpose of this literature review is to identify, summarize, and operationalize the clinical content of both key interventions and clinical indicators to develop an evidence-based model pathway for surgical patients with colorectal cancer. A systematic search in 3 databases was conducted to identify key interventions (KIs) and indicators to measure the effect of implementation of care pathways. The KIs from the enhanced recovery after surgery protocol were listed and used as framework to identify and match KIs used in the included studies. The Clinical Pathway Compass was used to categorize the indicators. Fifteen studies were included. The number of KI used in the study protocols ranged from 9 to 20. In total, 33 KIs were identified. Little information was available concerning the implementation of and compliance to the protocol. Length of stay and complication rate are the most common used indicators (used in 15/15 and 14/15 of the studies), followed by 21 other measures. All but one of the included studies reported a reduction in length of stay. There is a considerable variation in both number of KIs and indicators as well as operationalization of key interventions, for surgical patients with colorectal cancer documented in literature. Therefore, we summarized the input from different studies and developed an evidence-based model pathway, which can serve as a basis for a local/regional care pathway team to build their own pathway.

This paper proposes the Clinical Pathway Analysis Method (CPAM) approach that enables the extraction of valuable organisational and medical information on past clinical pathway executions from the event logs of healthcare information systems. The method deals with the complexity of real-world clinical pathways by introducing a perspective-based segmentation of the date-stamped event log. CPAM enables the clinical pathway analyst to effectively and efficiently acquire a profound insight into the clinical pathways. By comparing the specific medical conditions of patients with the factors used for characterising the different clinical pathway variants, the medical expert can identify the best therapeutic option. Process mining-based analytics enables the acquisition of valuable insights into clinical pathways, based on the complete audit traces of previous clinical pathway instances. Additionally, the methodology is suited to assess guideline compliance and analyse adverse events. Finally, the methodology provides support for eliciting tacit knowledge and providing treatment selection assistance.

BackgroundOptimization of the clinical care process by integration of evidence-based knowledge is one of the active components in care pathways. When studying the impact of a care pathway by using a cluster-randomized design, standardization of the care pathway intervention is crucial. This methodology paper describes the development of the clinical content of an evidence-based care pathway for in-hospital management of chronic obstructive pulmonary disease (COPD) exacerbation in the context of a cluster-randomized controlled trial (cRCT) on care pathway effectiveness.MethodsThe clinical content of a care pathway for COPD exacerbation was developed based on recognized process design and guideline development methods. Subsequently, based on the COPD case study, a generalized eight-step method was designed to support the development of the clinical content of an evidence-based care pathway.ResultsA set of 38 evidence-based key interventions and a set of 24 process and 15 outcome indicators were developed in eight different steps. Nine Belgian multidisciplinary teams piloted both the set of key interventions and indicators. The key intervention set was judged by the teams as being valid and clinically applicable. In addition, the pilot study showed that the indicators were feasible for the involved clinicians and patients.ConclusionsThe set of 38 key interventions and the set of process and outcome indicators were found to be appropriate for the development and standardization of the clinical content of the COPD care pathway in the context of a cRCT on pathway effectiveness. The developed eight-step method may facilitate multidisciplinary teams caring for other patient populations in designing the clinical content of their future care pathways.

The aim of this paper was to perform a systematic overview of secondary literature studies on care pathways (CPs) for hip fracture (HF). The online databases MEDLINE-PubMed, Ovid-EMBASE, CINAHL-EBSCO-host, and The Cochrane Library were searched. A total of six papers, corresponding to six secondary studies, were included but only four secondary studies were HF-specific and thus assessed. Secondary studies were evaluated for patients' clinical outcomes. There were wide differences among the studies that assessed the effects of CPs on HF patients, with some contrasting clinical outcomes reported. Secondary studies that were non-specific for CPs and included other multidisciplinary care approaches as well showed, in some cases, a shorter hospital length of stay (LOS) compared to usual care; studies that focused on promoting early mobilization showed better outcomes of mortality, morbidity, function, or service utilization; CPs mainly based on intensive occupational therapy and/or physical therapy exercises improved functional recovery and reduced LOS, with patients also discharged to a more favorable discharge destination; CPs principally focused on early mobilization improved functional recovery. A secondary study specifically designed for CPs showed lower odds of experiencing common complications of hospitalization after HF. In conclusion, although our overview suggests that CPs can reduce significantly LOS and can have a positive impact on different outcomes, data are insufficient for formal recommendations. To properly understand the effects of CPs for HF, a systematic review is needed of primary studies that specifically examined CPs for HF.

BackgroundProximal femur fracture (PFF) is associated with considerable morbidity and mortality. The European Quality of Care Pathway (EQCP) study on PFF (NCT00962910) was designed to determine how care pathways (CP) for hospital treatment of PFF affect consistency of care, adherence to evidence-based key interventions, and clinical outcome.Methods/DesignAn international cluster-randomized controlled trial (cRCT) will be performed in Belgium, Ireland, Italy and Portugal. Based on power analyses, a sample of 44 hospital teams and 437 patients per arm will be included in the study. In the control arm, usual care will be provided. Experimental teams will implement a care pathway which will include three active components: a formative evaluation of quality and organization of the care setting, a set of evidence-based key interventions, and support of the development and implementation of the CP. Main outcome will be the six-month mortality rate.DiscussionThe EQCP study constitutes the first international cRCT on care pathways. The EQCP project was designed as both a research and a quality improvement project and will provide a real-world framework for process evaluation to improve our understanding of why and when CP can really work.Trial registration numberNCT00962910