Prostate cancer (clinical) NBPDS
Data Set Specification Attributes
Identifying and definitional attributes
|Metadata item type:||Data Set Specification|
Health, Standard 14/05/2015
|DSS type:||Data Set Specification (DSS)|
The purpose of the Prostate cancer (clinical) National best practice data set (PCNBPDS) is to define data standards for the national collection of prostate cancer clinical data so that data collected is consistent and reliable. Collection of this data set is not mandated but it is recommended as best practice where clinical cancer data are collected. It will facilitate more consistent data collection while enabling individual treatment centres or health service areas to develop data extraction and collection processes and policies that are appropriate for their service settings.
The PCNBPDS is used in conjunction with the Cancer (clinical) National best practice data set (CCNBPDS). Mandatory reporting regulations have enabled population-based cancer registries in Australia to collect standard information on all incident cases of cancer apart from non-melanoma skin cancers, from which incidence, mortality and overall survival have been determined and trends monitored. The CCNBPDS provides a framework for the collection of more detailed and comprehensive clinical data such as stage of cancer at diagnosis, other prognostic characteristics, cancer treatment and patient outcomes.
The PCNBPDS will support prospective data collection from the time a person with cancer symptoms is referred or first presents to a hospital or specialist through the entire duration of their illness.
The definitions used in this data set are designed to capture the provision of cancer care on a day-to-day level. They relate to the cancer care pathway and the need to optimise care by correctly diagnosing, evaluating and managing patients with cancer. In addition, end-points and patterns of care can be monitored to understand both the appropriateness and effectiveness of cancer care.
The data elements specified provide a framework for:
They will facilitate the aggregation of data across different treatment centres.
The underlying long-term goal is to provide data support to improve outcomes for patients by increasing the quality and length of life. For example, a comparison of the actual management of patients with best practice guidelines may identify shortfalls in treatment and limitations in access to treatment modalities for some patients.