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Using electronic medical record data to assess chronic kidney disease,type 2 diabetes and cardiovascular disease testing,recognition and management as documented in Australian general practice:a cross-sectional analysis

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Family Medicine and Community Health 2022年第1期10卷 25-35页

作者： Julia L Jones Natalie G Lumsden koen simons Anis Ta'eed Maximilian P de Courten Tissa Wijeratne Nicholas Cox Christopher J A Neil Jo-Anne Manski-Nankervis Peter Shane Hamblin Edward D Janus Craig L Nelson Nephrology Western HealthMelbourneVictoriaAustralia Medicine University of MelbourneMelbourneVictoriaAustralia Western Health Chronic Disease Alliance MelbourneVictoriaAustralia General Practice University of MelbourneMelbourneVictoriaAustralia Epidemiology and Biostatistics University of MelbourneMelbourneVictoriaAustralia Mitchell Institute for Education and Health Policy MelbourneVictoriaAustralia Chronic Disease Prevention and Management Victoria UniversityMelbourneVictoria3011 La Trobe University MelbourneVictoriaAustralia Neurology Western HealthMelbourneVictoriaAustralia Cardiology Western HealthMelbourneVictoriaAustralia Endocrinology and Diabetes Western HealthMelbourneVictoriaAustralia Medicine Western HealthMelbourneVictoriaAustralia

Objectives To evaluate the capacity of general practice(GP)electronic medical record(EMR)data to assess risk factor detection,disease diagnostic testing,diagnosis,monitoring and pharmacotherapy for the interrelated chronic vascular diseases-chronic kidney disease(CKD),type 2 diabetes(T2D)and cardiovascular *** Cross-sectional analysis of data extracted on a single date for each practice between 12 April 2017 and 18 April 2017 incorporating data from any time on or before data extraction,using baseline data from the Chronic Disease early detection and Improved Management in PrimAry Care *** data were extracted from GP EMRs using the Pen Computer Systems Clinical Audit Tool and descriptive statistics used to describe the study *** Eight GPs in Victoria,*** Patients were≥18 years and attended GP≥3 times within 24 months.37946 patients were *** Risk factor and disease testing/monitoring/treatment were assessed as per Australian guidelines(or US guidelines if none available),with guidelines simplified due to limitations in data availability where *** factor assessment in those requiring it:30%of patients had body mass index and 46%blood pressure within guideline recommended *** testing in at-risk population:17%had diagnostic testing as per recommendations for CKD and 37%for *** undiagnosed disease:Pathology tests indicating possible disease with no diagnosis already coded were present in 6.7%for CKD,1.6%for T2D and 0.33%familial *** prevalence:Coded diagnoses were recorded in 3.8%for CKD,6.6%for T2D,4.2%for ischaemic heart disease,1%for heart failure,1.7%for ischaemic stroke,0.46%for peripheral vascular disease,0.06%for familial hypercholesterolaemia and 2%for atrial *** prescriptions:the proportion of patients prescribed guideline-recommended medications ranged from 44%(beta blockers for patients for some condi

关键词： diagnosis testing record

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