Advancing the Methods for Using Routinely Collected Health Data

Project Summary

Routinely collected data, also known as about visits to health care providers (primary care, hospitals, etc.) and the use of prescribed medications helps us understand the costs and effects of different ways of providing services, and the different types of people who are served by the health care system.

However, these data—also known as “administrative data”—have limitations. For example, they do not typically capture how patients feel about the care that they receive.

Recently, in British Columbia (BC), there have been initiatives that have asked patients to complete surveys about their hospital care (e.g., patient-centred measurements, such as “patient-reported outcome measures”, or “PROMs”). These data can now be linked with routinely collected “administrative data,” providing an opportunity to answer questions that could not be answered before.

However, work is needed to understand how best to do this.

This project will develop guidelines on which methods can be used to ensure these data can answer important questions in an era of increasing costs and difficult funding decisions.

This project is part of the Health Economics and Simulation Modelling Cluster.

Project Leads

Logan Trenaman
Mark Harrison
Kim McGrail