Abstract 3499
Background
Care pathways are used to manage quality in healthcare and concern the organization and standardization of care processes. Benchmarking care pathways can lead to knowledge sharing, for example on topics like patient engagement and collaboration within networks. A more recent development in healthcare is the transformation from volume-based healthcare to value-based healthcare, which amongst others emphasizes the need for IPU (Integrated Practice Unit) development. The ABC-Benchmarking project is an international benchmarking project aiming to further develop the BENCH-CAN pathway benchmark, establish comparative scores on IPU development, and link outcome data to benchmark results.
Methods
The 13 step benchmarking process as developed by Van Lent et al. was used. Indicators were primarily derived from the BENCH-CAN pathway benchmark format and secondary from expert opinion. An adapted Delphi method, in which clinical experts on breast and prostate cancer provided feedback in three rounds, was used to select the final set of indicators. The indicator sets containing structure, process and outcome indicators were piloted in 5 centers. Clinical outcome indicators were collected primarily through cancer registries. Site visits were performed to clarify additional questions based on the provided data and to grasp the context of the care pathway.
Results
The final set contained 79 indicators for breast and 69 indicators for prostate cancer. Due to a difference in registration and data availability of cancer registries not all data could be collected for all centers. Differences between cancer centers were found for example in the measurement of patient reported outcomes and the status of the IPU. Aggregated and comparative data can be shown during the congress.
Conclusions
Further validating the pathway benchmark tool and adding more focus to IPU development and outcome indicators led to new knowledge on adding value for cancer patients. Examples given were optimizing care organized in care pathways for breast and prostate cancer patients. Variation in the results provided improvement opportunities for all centers. A study into patient involvement in pathway development, evaluation and improvement is also part of this project.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Novartis.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
5678 - Nanomaterials Augmented LDI-TOF-MS for Hepatocellular Carcinoma Diagnosis and Classification
Presenter: Jian Zhou
Session: Poster Display session 3
Resources:
Abstract
2436 - Development and Validation of an RNA-Seq Assay for Gene Fusions Detection in Formalin-Fixed Paraffin-Embedded Samples
Presenter: Hua Dong
Session: Poster Display session 3
Resources:
Abstract
5271 - A Pilot Study to Implement an Artificial Intelligence (AI) System for Gastrointestinal Cancer Clinical Trial Matching
Presenter: Zhaohui Jin
Session: Poster Display session 3
Resources:
Abstract
4787 - A Blinded Comparison of Patient Treatments to Therapeutic Options Presented by an Artificial Intelligence-based Clinical Decision-support system
Presenter: Suthida Suwanvecho
Session: Poster Display session 3
Resources:
Abstract
5744 - OncOS: scalable and accurate next-generation sequencing analytics for precision oncology and personalized patient care
Presenter: Joe Thompson
Session: Poster Display session 3
Resources:
Abstract
3752 - The association between wearable device physical activity metrics and performance status in oncology: a systematic review
Presenter: Milan Kos
Session: Poster Display session 3
Resources:
Abstract
5820 - SomaticNET: neural network evaluation of somatic mutations in cancer
Presenter: Geoffroy Dubourg-Felonneau
Session: Poster Display session 3
Resources:
Abstract
4771 - Is there a role for Next-generation sequencing (NGS) profiling on metastatic non-colorectal gastrointestinal carcinomas (MNCGIC) in developing countries? A single center experience.
Presenter: Mauricio Ribeiro
Session: Poster Display session 3
Resources:
Abstract
1209 - Metastatic Cancer Whole-Exome Sequencing in daily practice
Presenter: Manon Réda
Session: Poster Display session 3
Resources:
Abstract
5702 - Genomic-Guided Individualized Precision Therapy in Refractory Metastatic Solid Tumor Patients with Extensively Poor Performance Status: A Chinese single institutional prospective observational real-world study
Presenter: Haitao Wang
Session: Poster Display session 3
Resources:
Abstract