%0 Journal Article
%T Measuring data reliability for preventive services in electronic medical records
%A Michelle Greiver
%A Jan Barnsley
%A Richard H Glazier
%A Bart J Harvey
%A Rahim Moineddin
%J BMC Health Services Research
%D 2012
%I BioMed Central
%R 10.1186/1472-6963-12-116
%X Our data sources were randomly selected eligible patients¡¯ medical records and data obtained from provincial administrative datasets. Eighteen community-based family physicians in Toronto, Ontario that implemented EMRs starting in 2006 participated in this study. We measured the proportion of patients eligible for a service (Pap smear, screening mammogram or influenza vaccination) that received the service. We compared the change in rates of selected preventive services calculated from the medical record audits with the change in administrative datasets.In the first year of EMR use (2006) services decreased by 8.7% more (95% CI £¿11.0%¨C£¿£¿£¿6.4%, p£¿<£¿0.0001) when measured through medical record audits as compared with administrative datasets. Services increased by 2.4% more (95% CI 0%¨C4.9%, p£¿=£¿0.05) in the medical record audits during the second year of EMR use (2007).There were differences between the change measured through medical record audits and administrative datasets. Problems could include difficulties with organizing new data entry processes as well as continued use of both paper and EMRs. Data extracted from EMRs had limited reliability during the initial phase of EMR implementation. Unreliable data interferes with the ability to measure and improve health care quality
%K Measurement
%K Reliability
%K Validity
%K Electronic medical records
%K Preventive health services
%K Quality of health care
%K Primary medical care
%U http://www.biomedcentral.com/1472-6963/12/116/abstract