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dc.contributor.authorKalia, Sumeet
dc.contributor.authorGreiver, Michelle
dc.contributor.authorZhao, Xu
dc.contributor.authorMeaney, Christopher
dc.contributor.authorMoineddin, Rahim
dc.contributor.authorAliarzadeh, Babak
dc.contributor.authorGrunfeld, Eva
dc.contributor.authorSullivan, Frank
dc.identifier.citationKalia , S , Greiver , M , Zhao , X , Meaney , C , Moineddin , R , Aliarzadeh , B , Grunfeld , E & Sullivan , F 2018 , ' Would you like to add a weight after this blood pressure, doctor? Discovery of potentially actionable associations between the provision of multiple screens in primary care ' Journal of Evaluation in Clinical Practice , vol. 24 , no. 2 , pp. 423-430 .
dc.identifier.otherPURE: 252102777
dc.identifier.otherPURE UUID: 68a30c06-1cce-4854-802b-c3a702fbc9f3
dc.identifier.otherBibtex: urn:9dab425d65d9155ab9e2dc03ae19d00e
dc.identifier.otherScopus: 85040729770
dc.descriptionThe CPCSSN was funded through a contribution agreement with the Public Health Agency of Canada.en
dc.description.abstractRationale, aims, and objective:  Guidelines recommend screening for risk factors associated with chronic diseases but current electronic prompts have limited effects. Our objective was to discover and rank associations between the presence of screens to plan more efficient prompts in primary care. Methods:  Risk factors with the greatest impact on chronic diseases are associated with blood pressure, body mass index, waist circumference, glycaemic and lipid levels, smoking, alcohol use, diet, and exercise. We looked for associations between the presence of screens for these in electronic medical records. We used association rule mining to describe relationships among items, factor analysis to find latent categories, and Cronbach α to quantify consistency within latent categories. Results:  Data from 92 140 patients in or around Toronto, Ontario, were included. We found positive correlations (lift >1) between the presence of all screens. The presence of any screen was associated with confidence greater than 80% that other data on items with high prevalence (blood pressure, glycaemic and lipid levels, or smoking) would also be present. A cluster of rules predicting the presence of blood pressure were ranked highest using measures of interestingness such as standardized lift. We found 3 latent categories using factor analysis; these were laboratory tests, vital signs, and lifestyle factors; Cronbach α ranged between .58 for lifestyle factors and .88 for laboratory tests. Conclusions:  Associations between the provision of important screens can be discovered and ranked. Rules with promising combinations of associated screens could be used to implement data driven alerts.en
dc.relation.ispartofJournal of Evaluation in Clinical Practiceen
dc.rights© 2018 The Authors Journal of Evaluation in Clinical Practice Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en
dc.subjectPatient-centered careen
dc.subjectPerson-centered medicineen
dc.subjectPublic healthen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.titleWould you like to add a weight after this blood pressure, doctor? Discovery of potentially actionable associations between the provision of multiple screens in primary careen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Population and Behavioural Science Divisionen
dc.description.statusPeer revieweden

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