The effectiveness of implementing an electronic health record on diabetes care and outcomes
- PMID: 22250953
- PMCID: PMC3401397
- DOI: 10.1111/j.1475-6773.2011.01370.x
The effectiveness of implementing an electronic health record on diabetes care and outcomes
Abstract
Objective: To assess the impact of electronic health record (EHR) implementation on primary care diabetes care.
Data sources: Charts were abstracted semi-annually for 14,051 diabetes patients seen in 34 primary care practices in a large, fee-for-service network from January 1, 2005 to December 31, 2010. The study sample was limited to patients aged 40 years or older.
Study design: A naturalistic experiment in which GE Centricity Physician Office-EMR 2005 was rolled out over a staggered 3-year schedule.
Data collection: Chart audits were conducted using the AMA/Physician Consortium Adult Diabetes Measure set. The primary outcome was the HealthPartners' "optimal care" measure: HbA1c ≤ 8 percent; LDL cholesterol < 100 mg/dl; blood pressure < 130/80 mmHg; not smoking; and documented aspirin use in patients ≥ 40 years of age.
Principal findings: After adjusting for patient age, sex, and insulin use, patients exposed to the EHR were significantly more likely to receive "optimal care" when compared with unexposed patients (p < .001), with an estimated difference of 9.20 percent (95% CI: 6.08, 12.33) in the final year between exposed patients and patients never exposed. Components of the optimal care bundle showing positive improvement after adjustment were systolic blood pressure <80 mmHg, diastolic blood pressure <130 mmHg, aspirin prescription, and smoking cessation. Among patients exposed to EHR, all process and outcome measures except HbA1c and lipid control showed significant improvement.
Conclusion: Implementation of a commercially available EHR in primary care practice may improve diabetes care and clinical outcomes.
© Health Research and Educational Trust.
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References
-
- Bodenheimer T. “Interventions to Improve Chronic Illness Care: Evaluating Their Effectiveness”. Disease Management. 2003;6(2):63–71. - PubMed
-
- Cebul RD, Love TE, Jain AK, Hebert CJ. “Electronic Health Records and Quality of Diabetes Care”. New England Journal of Medicine. 2011;365(9):825–33. - PubMed
-
- Chaudhry B, Wang J, Wu S, Maglione M, Mojica W, Roth E, Morton SC, Shekelle PG. “Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care”. Annals of Internal Medicine. 2006;144(10):742–52. - PubMed
-
- Delpierre C, Cuzin L, Fillaux J, Alvarez M, Massip P, Lang T. “A Systematic Review of Computer-Based Patient Record Systems and Quality of Care: More Randomized Clinical Trials or a Broader Approach?”. International Journal for Quality in Health Care. 2004;16(5):407–16. - PubMed
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