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General practice ethnicity data: evaluation of a tool.

Pat Neuwelt¹, Sue Crengle², Donna Cormack³

¹Te Kupenga Hauora Maori, School of Population Health, Faculty of Medical and Health Sciences, The University of Auckland, PB 92019, Auckland 1142, New Zealand. p.neuwelt@auckland.ac.nz.

Journal of Primary Health Care

|March 14, 2014

Summary

The Ethnicity Data Audit Tool (EAT) shows promise for improving patient ethnicity data collection in New Zealand general practices. Minor enhancements could boost its effectiveness as a quality improvement tool.

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Area of Science:

Health Informatics
Primary Care Research
Data Quality Management

Background:

Ethnicity data collection in New Zealand primary care is inconsistent.
Existing data recording practices often deviate from established protocols.
A tool was developed to audit ethnicity data collection in primary care.

Purpose of the Study:

To pilot the Ethnicity Data Audit Tool (EAT) in general practice settings.
To evaluate the effectiveness and user experience of the EAT.
To identify areas for improvement in the EAT.

Main Methods:

Eight general practices in the Waitemata District Health Board region participated.
Feedback was collected via questionnaires and interviews.
Data were analyzed using a simple analytical framework and inductive methods.

Main Results:

General practice staff found the pilot challenging but insightful.
The majority viewed the EAT as a valuable quality improvement tool.
Larger practices reported more positive experiences with the EAT.

Conclusions:

The EAT has potential to significantly improve ethnicity data quality in primary care with modifications.
System-level factors require attention for comprehensive data improvement.
Further refinement of the EAT toolkit is recommended.