360 Health Analysis (H360)-A Comparison of Key Performance Indicators in Breast Cancer Management across Health Institution Settings in Portugal

BACKGROUND

The increased focus on quality indicators (QIs) and the use of clinical registries in real-world cancer studies have increased compliance with therapeutic standards and patient survival. The European Society of Breast Cancer Specialists (EUSOMA) established QIs to assess compliance with current standards in breast cancer care.

METHODS

This retrospective study is part of H360 Health Analysis and aims to describe compliance with EUSOMA QIs in breast cancer management in different hospital settings (public vs. private; general hospitals vs. oncology centers). A set of key performance indicators (KPIs) was selected based on EUSOMA and previously identified QIs. Secondary data were retrieved from patients' clinical records. Compliance with target KPIs in different disease stages was compared with minimum and target EUSOMA standards.

RESULTS

A total of 259 patient records were assessed. In stages I, II, and III, 18 KPIs met target EUSOMA standards, 5 met minimum standards, and 8 failed to meet minimum standards. Compliance with KPIs varied according to the type of hospital (particularly regarding diagnosis) and disease stage. Although small differences were found in KPI compliance among institutions, several statistical differences were found among treatment KPIs according to disease stage, particularly in stage III.

CONCLUSIONS

This study represents the first assessment of the quality of breast cancer care in different hospital settings in Portugal and shows that, although most QIs meet EUSOMA standards, there is room for improvement. Differences have been found across institutions, particularly between oncology centers and general hospitals, in diagnosis and compliance with KPIs among disease stages. Stage III showed the greatest variability in compliance with treatment KPIs, probably related to the lower specificity of the guidelines in this disease stage.

360 Health Analysis (H360) - A Proposal for an Integrated Vision of Breast Cancer in Portugal

H360 aims to provide a comprehensive picture of breast cancer management in Portugal by retrieving real-world data from 10 Portuguese hospitals and deriving a snapshot from the medical interpretation of evidence-based data to patient perspective on the quality and effectiveness of medical care provided. This article reviews evidence on breast cancer clinical practice and quality of care and disease management in Portugal. A review of evidence on breast cancer clinical practice and quality of care over the last 10 years was performed in PubMed using the query "Organization and Administration"[Mesh] AND "breast cancer"[All Fields] NOT "Review" [ptyp]. National cancer initiatives relevant for quality of care and national and international guidelines and consensus were analyzed. Retrieved results showed that breast cancer incidence is still increasing, including in Portugal. Studies investigating disease outcomes seek to derive improvements to clinical practice and better financial resource allocation. Setting performance measures (KPIs) in institutions treating cancer is not a reality in Portugal yet, but has potential to leverage the quality of clinical performance. A multidisciplinary approach within one health structure is also desirable. More investment in clinical (including academic) research is key to optimize the quality of care. Implementation of clinical practice guidelines (largely based on ESMO guidelines in Portugal) is crucial to improve patient outcomes. Not less importantly, quality of life is a treatment goal on its own in breast cancer care. Breast cancer remains a health challenge and a multidimensional, 360-degree appraisal, beyond the exclusively clinical perspective, may provide new insights towards an optimal patient-centered approach.

RegaDB: community-driven data management and analysis for infectious diseases

Summary: RegaDB is a free and open source data management and analysis environment for infectious diseases. RegaDB allows clinicians to store, manage and analyse patient data, including viral genetic sequences. Moreover, RegaDB provides researchers with a mechanism to collect data in a uniform format and offers them a canvas to make newly developed bioinformatics tools available to clinicians and virologists through a user friendly interface.

Availability and implementation: Source code, binaries and documentation are available on http://rega.kuleuven.be/cev/regadb. RegaDB is written in the Java programming language, using a web-service-oriented architecture.

Contact:pieter.libin@rega.kuleuven.be