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Processes of Care Any 3 of 5 Treatment All Required Outcomes Evaluated Both as 2 of 3 and as All Required* HgA1c = glycosylated hemoglobin, percentage of total hemoglobin; LDL = low-density lipoprotein cholesterol. * For outcome measures the most recent recorded value was used. HgA1c assessed within last 6 months Urine microalbumin assessed within last 12 months Smoking status assessed within last 6 months HgA1c ≤8% or >8% and on hypoglycemic agent HgA1c <7% LDL assessed within last 12 months LDL ≤100 mg/dL or >100 mg/dL and on lipid-lowering agent LDL ≤100 mg/dL Blood pressure recorded at each of 3 previous visits Blood pressure ≤130/85 mm Hg (systolic and diastolic) or >130/85 mm Hg (systolic or diastolic) and on antihypertensive medication Blood pressure ≤130/85 mm Hg (systolic and diastolic) Characteristic EMR Practices Non-EMR Practices Test Statistic P Value* EMR = electronic medical record. * Bonferroni adjusted significance level P ≤.007. † Hierarchical model, Wald test statistic. ‡ Analysis of variance, degrees of freedom = 1, 48. § Fisher exact test. No. of patients 257 670 Mean age, y (SD) 57.3 (15.1) 60.7 (14.4) 9.86† .002 Sex, % 2.04† .15 Women 53.9 48.7 Men 46.1 51.3 No. of practices 13 37 No. of clinicians, mean (SD) 4.5 (3.2) 4.7 (3.2) 0.02‡ .89 No. of staff, mean (SD) 10.2 (8.7) 14.9 (10.9) 1.92‡ .17 Staff/clinician ratio (SD) 2.3 (1.6) 3.2 (1.6) 3.35‡ .07 Practice type, % (n) - .66§ Solo practice 7.7 (1) 18.9 (7) Group practice 92.3 (12) 81.1 (30) Practice ownership, % (n) - .32§ Physician 53.8 (7) 70.3 (26) Health system/other 46.2 (6) 29.7 (11) Variable EMR Practices (n=13) Mean (SD) Non-EMR Practices (n=37) Mean (SD) EMR = emergency medical record. Processes of care (3 of 5 guidelines met) 35.0 (19.5) 53.8 (22.1) Treatment (all guidelines met) 35.3 (16.9) 48.6 (15.7) Outcome targets (2 of 3 guidelines met) 29.0 (11.7) 43.7 (15.4) Outcome targets (all guidelines met) 3.9 (3.8) 10.7 (9.0) Characteristics Adjusted Odds Ratio P Value 95% CI CI = confidence interval; EMR = electronic medical record. Note: These odds ratios are obtained from a single regression model for each outcome such that the odds ratios are adjusted for all other covariates in the table. Processes of care No EMR/EMR 2.25 <.001 1.42–3.57 Solo practice/other 0.38 .02 0.17–0.87 Physician owned/other 1.03 .90 0.65–1.62 Staff/clinician ratio 1.03 .66 0.91–1.17 Patient sex, male/female 1.21 .22 0.89–1.62 Patient age in 10-year increments 1.02 .68 0.92–1.13 Treatment No EMR/EMR 1.67 .02 1.07–2.60 Solo practice/other 0.63 .04 0.41–0.98 Physician owned/other 1.03 .89 0.70–1.50 Staff/clinician ratio 1.01 .86 0.89–1.16 Patient sex, male/female 1.06 .74 0.77–1.45 Patient age in 10-year increments 1.27 <.001 1.14–1.41 Outcomes 2 of 3 No EMR/EMR 1.67 <.001 1.25–2.24 Solo practice/other 0.61 .11 0.33–1.12 Physician owned/other 1.44 .02 1.05–1.96 Staff/clinician ratio 1.08 .08 0.96–1.18 Patient sex, male/female 1.36 .02 1.07–1.72 Patient age in 10-year increments 1.11 .03 1.01–1.22 Outcome all No EMR/EMR 2.68 .001 1.49–4.82 Solo practice/other 0.93 .85 0.45–1.94 Physician owned/other 1.43 .30 0.73–2.78 Staff/clinician ratio 0.96 .50 0.86–1.08 Patient sex, male/female 1.40 .17 0.87–2.25 Patient age in 10-year increments 1.19 .04 1.01–1.42
Additional Files
The Article in Brief
Jesse C. Crosson, PhD , and colleagues
Background Electronic medical records (EMRs) can help medical practices manage complex information for patients with diseases such as diabetes. This study looks at the relationship between the use of an EMR and the quality of diabetes care in family medicine practices.
What This Study Found Practices that used electronic medical records were less likely to meet measures for diabetes quality of care than practices without EMRs. This finding might be due to differences in features of the EMR, the degree to which clinicians used the EMR, and resources available to support these efforts.
Implications
- Having an electronic medical record does not guarantee that quality of care will improve. More study is needed to determine how EMRs can help support quality of care for patients with chronic illnesses such as diabetes.
- Policy makers and primary care practice owners should consider how to maintain and improve quality both during and after the implementation of an EMR.
- EMR companies should be encouraged to develop products with easy-to-use features that support improved health care quality in primary care practices.