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Journal article

Availability of computerised medical record system data to compare models of child health care in primary care across Europe

Abstract:
Computerised medical record (CMR) system data can be used to compare different models of health care for children. We identified sources of data from the Models of Child Health Appraised (MOCHA) project that compares family doctor led with paediatrician led and mixed models of child care using index conditions. Asthma and immunisation coverage are the first of these. We explored the extent to which an established Patient Registries Initiative (PARENT); MOCHA's own survey (MIROI); the European Centre for Disease Control (ECDC) immunisation information system survey and the European Network of Centres for Pharmacoepidemiology and Pharmacovigilance (ENCePP) registry of data sources provided data to make comparisons of child health care. Five countries had data repositories for our index conditions from paediatrician lead services, compared with 14 for mixed, and 11 for family doctor led services. PARENT identified 212 sources, MIROI 148 sources, ECDC 17 sources and ENCePP 42; with immunisation related data sources found in all four but asthma in only three. There are less sources of electronic data available to study paediatrician led systems than other models; this risks unequal sample size bias.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3233/978-1-61499-824-2-8

Authors

More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Role:
Author
ORCID:
0000-0002-7717-8486


Publisher:
IOP Press
Journal:
Practice of Patient Centered Care: Empowering and Engaging Patients in the Digital Era More from this journal
Volume:
244
Pages:
8-12
Series:
Studies in Health Technology and Informatics
Publication date:
2017-01-01
DOI:
EISSN:
1879-8365
ISSN:
0926-9630
Pmid:
29039367
ISBN:
9781614998235


Language:
English
Keywords:
Pubs id:
pubs:1013739
UUID:
uuid:85ffbcc3-aa70-4297-b8be-0dbb512fdd5c
Local pid:
pubs:1013739
Source identifiers:
1013739
Deposit date:
2019-11-29
ARK identifier:

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