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A comparative analysis of computer based hospice palliative care datasets in Canada
Craig E Kuziemsky1, Francis Lau
1Telfer School of Management, University of Ottawa, 55 Laurier Avenue East, Ottawa, Ontario K1N 6N5, Canada. kuziemsky@telfer.uottawa.ca
BMC Palliative Care
|May 14, 2008
Summary
Significant variation in data collection across Canadian hospice palliative care (HPC) centres hinders meaningful comparisons. Developing a common minimum dataset and national standards is crucial for improving care delivery and coordination.
Area of Science:
- Health Services Research
- Palliative Care Data Standards
Background:
- Seven Canadian hospice palliative care (HPC) centres and one national surveillance dataset were analyzed.
- Focus on the collection of 40 specific data elements.
Purpose of the Study:
- To compare data collection practices across Canadian HPC centres.
- To identify implications for research and service delivery.
Main Methods:
- Comparative analysis of data element names and definitions.
- Data elements categorized into five themes: demographic, patient death, support/caregiver, program/service, and clinical.
Main Results:
- Substantial variation exists in data collection across HPC centres.
- This variation impedes timely and meaningful comparisons of service and care.
- Patient death, service/program, and clinical data show particular variability.
Conclusions:
- A common minimum dataset is essential to address data variations.
- Enhanced coordination among care centres and national standards are needed.
- Transitioning to electronic data collection can promote policy and practice alignment.
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