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A step‐wise approach to developing indicators to compare the performance of maternity units using hospital administrative data
Author(s) -
Geary RS,
Knight HE,
Carroll FE,
GurolUrganci I,
Morris E,
Cromwell DA,
Meulen JH
Publication year - 2018
Publication title -
bjog: an international journal of obstetrics and gynaecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.157
H-Index - 164
eISSN - 1471-0528
pISSN - 1470-0328
DOI - 10.1111/1471-0528.15013
Subject(s) - data collection , sample (material) , data quality , selection (genetic algorithm) , computer science , quality (philosophy) , operations management , statistics , engineering , metric (unit) , philosophy , chemistry , mathematics , epistemology , chromatography , artificial intelligence
Hospital administrative data are attractive for comparing performance of maternity units because of their often large sample sizes, lack of selection bias and the relatively low costs of accessing these data compared with conducting primary data collection. However, using administrative data to develop indicators can also present challenges including varying data quality, the limited detail on clinical risk factors and a lack of structural and user experience measures. This review illustrates how to develop performance indicators for maternity units using hospital administrative data, including methods to address the challenges that administrative data pose. Tweetable abstract How to develop maternity indicators from administrative data.