Identifying long-term conditions in New Zealand general practice using structured and unstructured data: a cross-sectional study

Identifying long-term conditions in New Zealand general practice using structured and unstructured data: a cross-sectional study

Objectives This study examined whether incorporating free-text entries into structured general practice records improves the detection of long-term conditions (LTCs) and multimorbidity (MM) in New Zealand (NZ) general practices.Methods Data from 374 071 deidentified individuals in general practices...

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Main Authors: Vanessa Selak, Katrina Poppe, Sue Wells, Yeunhyang Catherine Choi, Allan Ronald Moffitt, Claris Yee Seung Chung, Jane Ullmer
Format: Article
Language:English
Published: BMJ Publishing Group 2025-05-01
Series:BMJ Health & Care Informatics
Online Access:https://informatics.bmj.com/content/32/1/e101393.full
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https://informatics.bmj.com/content/32/1/e101393.full

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