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Building individual histories with registries. A case study.

L L Roos, J P Nicol

|October 1, 1983

Summary

This study assesses the quality of health registries for population research. The Manitoba Health data base demonstrated high individual tracing rates, but identified gaps in mortality data accuracy.

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Area of Science:

Health Services Research
Population Health
Data Quality Assessment

Background:

Health registries are crucial for population-based research.
Assessing the accuracy and completeness of registry data is essential for reliable research outcomes.
The Manitoba Health Services Commission database serves as a key resource for health research in the region.

Purpose of the Study:

To evaluate the utility of health registries for population-based research.
To develop and refine methods for assessing registry data quality, specifically coverage and mortality.
To validate data quality assessment techniques using a longitudinal cohort.

Main Methods:

A method of successive comparisons was employed to create and update individual summary records.
Data quality was assessed by examining record coverage (duration on registry) and mortality.
The accuracy of summary records was validated by tracing a cohort of 4,794 elderly individuals over an 8-year period.

Main Results:

The study successfully traced 97% of the total elderly sample over 8 years.
99% of interviewees were successfully matched and traced within the registry data.
Outstanding issues include deaths on hospital claims not on the master registry and potential unrecorded out-of-hospital deaths.

Conclusions:

Health registries can be valuable for population research when data quality is rigorously assessed.
The Manitoba Health data base shows high success in individual tracing but requires further improvements in capturing complete mortality data.
Ongoing validation against vital statistics is necessary to address data gaps and enhance registry accuracy.

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