OBJECTIVE: To determine the validity of an electronic health record (EHR) in the identification of patients with left ventricular dysfunction in a primary care setting. DESIGN: A cross-sectional study. SETTING: Nine clinics participating from the Providence Research Network (PRN) comprising 75 physicians serving approximately 200,000 patients. All clinics utilise the Logician EHR for all patient care activities. PATIENTS: The study included all PRN patients with an active chart. INTERVENTIONS: All patients with a heart failure diagnosis in the problem list were identified by database query. Left ventricular ejection fraction (LVEF) data were identified through query of local cardiology and hospital echocardiography databases. Additional LVEF data were sought in a manual search of paper charts. MEASUREMENTS AND MAIN RESULTS: To determine the problem list coding accuracy for a heart failure (HF) diagnosis we evaluated sensitivity, positive predictive value and related derived statistical measures using documented LVEF as the 'gold standard'. Of 205 755 active PRN patients, 1731 were identified with a problem list entry of HF. Based on comparison with documented LVEF, the sensitivity for problem list entry was 43.9% and 54.4% when HF was defined as an LVEF < or = 55% and < or = 40%, respectively. CONCLUSION: The validity of an EHR problem list entry of HF was poor. The problem list validity could be enhanced through reconciliation with other data sources. Inaccurate EHR problem lists may have clinical consequences, including underprescribing of beneficial therapies.
OBJECTIVE: To determine the validity of an electronic health record (EHR) in the identification of patients with left ventricular dysfunction in a primary care setting. DESIGN: A cross-sectional study. SETTING: Nine clinics participating from the Providence Research Network (PRN) comprising 75 physicians serving approximately 200,000 patients. All clinics utilise the Logician EHR for all patient care activities. PATIENTS: The study included all PRN patients with an active chart. INTERVENTIONS: All patients with a heart failure diagnosis in the problem list were identified by database query. Left ventricular ejection fraction (LVEF) data were identified through query of local cardiology and hospital echocardiography databases. Additional LVEF data were sought in a manual search of paper charts. MEASUREMENTS AND MAIN RESULTS: To determine the problem list coding accuracy for a heart failure (HF) diagnosis we evaluated sensitivity, positive predictive value and related derived statistical measures using documented LVEF as the 'gold standard'. Of 205 755 active PRN patients, 1731 were identified with a problem list entry of HF. Based on comparison with documented LVEF, the sensitivity for problem list entry was 43.9% and 54.4% when HF was defined as an LVEF < or = 55% and < or = 40%, respectively. CONCLUSION: The validity of an EHR problem list entry of HF was poor. The problem list validity could be enhanced through reconciliation with other data sources. Inaccurate EHR problem lists may have clinical consequences, including underprescribing of beneficial therapies.
Authors: Siddhartha R Jonnalagadda; Abhishek K Adupa; Ravi P Garg; Jessica Corona-Cox; Sanjiv J Shah Journal: J Cardiovasc Transl Res Date: 2017-06-05 Impact factor: 4.132
Authors: Serguei S V Pakhomov; Harry Hemingway; Susan A Weston; Steven J Jacobsen; Richard Rodeheffer; Véronique L Roger Journal: Am Heart J Date: 2007-04 Impact factor: 4.749
Authors: Jeffrey L Schnipper; Jeffrey A Linder; Matvey B Palchuk; Jonathan S Einbinder; Qi Li; Anatoly Postilnik; Blackford Middleton Journal: J Am Med Inform Assoc Date: 2008-04-24 Impact factor: 4.497
Authors: Pius G Horumpende; Tolbert B Sonda; Marco van Zwetselaar; Magreth L Antony; Filemon F Tenu; Charles E Mwanziva; Elichilia R Shao; Stephen E Mshana; Blandina T Mmbaga; Jaffu O Chilongola Journal: PLoS One Date: 2018-11-21 Impact factor: 3.240