Smoking status recording in GP electronic records: the unrealised potential

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Show simple item record Selak, Vanessa en Wells, Linda en Whittaker, Robyn en Stewart, Alistair en 2016-02-04T01:47:16Z en 2006 en
dc.identifier.citation Informatics in Primary Care, 2006, 14 (4), pp. 235 - 241 (7) en
dc.identifier.issn 1476-0320 en
dc.identifier.uri en
dc.description.abstract Objective To investigate the recording of smoking status and factors associated with the recording of smoking status in general practitioner (GP) electronic medical records (EMRs) in New Zealand, and the suitability of this source as a prevalence measure. Setting General practices affiliated with an Auckland-based primary health organisation. Population Patients registered with 84/107 (78.5%) eligible GPs who had used EMRs for at least a year and had PREDICT-CVD,a web-based cardiovascular disease risk assessment and management decision support program, integrated with their practice software. Design Audit of EMRs using data from an evaluation of PREDICT-CVD. Main outcome measures The proportion of EMRs audited (Maori, non-Maori) with smoking status recorded and, among those with smoking status recorded,al so Read-coded, and factors associated with greater recording of smoking status. Results Smoking status was recorded among 49.6% of Maori and 38.3% of non-Maori prior to the installation of PREDICT-CVD. Among those with smoking status recorded, smoking status was also Read-coded among 49.8% of Maori and 62.3% of non-Maori. Factors associated with greater recording of smoking status were installation of PREDICT-CVD, male sex, Maori ethnicity, cardio-vascular disease and diabetes. Age was also associated with the recording of smoking status. Conclusion General practitioner electronic medical records in New Zealand are currently not a suitable source of smoking prevalence data, even if manually searched, as a large proportion of records did not have smoking status recorded. Such records are an even less suitable source of smoking prevalence if data extraction by remote querying (using Read codes) is relied upon. The potential to estimate the prevalence of smoking from GP records has not yet become a reality. Installation of electronic decision support systems, such as PREDICT-CVD, could improve the recording and Read-coding of smoking status, and thereby the availability and accessibility of these data. en
dc.description.uri en
dc.language English en
dc.publisher BCS (British Computer Society) en
dc.relation.ispartofseries Informatics in Primary Care en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from en
dc.rights.uri en
dc.rights.uri en
dc.subject data collection en
dc.subject information systems en
dc.subject primary health care en
dc.title Smoking status recording in GP electronic records: the unrealised potential en
dc.type Journal Article en
dc.identifier.doi 10.14236/jhi.v14i4.635 en
pubs.issue 4 en
pubs.begin-page 235 en
pubs.volume 14 en
dc.description.version VoR - Version of Record en
dc.rights.holder Copyright: BCS (British Computer Society) en
dc.identifier.pmid 17504576 en en
pubs.end-page 241 en
pubs.publication-status Published en
dc.rights.accessrights en
pubs.subtype Article en
pubs.elements-id 74495 en Medical and Health Sciences en Population Health en Epidemiology & Biostatistics en
dc.identifier.eissn 1475-9985 en
pubs.record-created-at-source-date 2010-09-01 en
pubs.dimensions-id 17504576 en

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