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Table 2 HIV testing rates before and after EMR reminder implementation stratified by levels of patient characteristics

From: Use of an electronic medical record reminder improves HIV screening

Patient characteristic

Proportion tested before reminder

Proportion tested after reminder

Relative Risk and 95% Confidence Intervala

P-valuea

OVERALL

15.3%

30.7%

2.02 (1.95–2.09)

< 0.0001

AGE

Age ≤ 25

22.5%

34.3%

1.52 (1.38–1.69)

<0.0001

Age 26–35

23.1%

36.9%

1.61 (1.53–1.71)

<0.0001

Age 36–45

15.8%

31.0%

1.98 (1.83–2.13)

<0.0001

Age 46–65

9.7%

27.2%

2.81 (2.65–2.99)

<0.0001

GENDER

Female

14.0%

30.5%

2.19 (2.10–2.30)

<0.0001

Male

17.3%

30.8%

1.82 (1.73–1.91)

<0.0001

RACE

White

13.9%

27.1%

1.97 (1.88–2.07)

<0.0001

Black

21.5%

41.0%

1.93 (1.81–2.06)

<0.0001

Asian

14.5%

30.3%

2.11 (1.85–2.40)

<0.0001

Other race

14.6%

33.4%

2.31 (2.12–2.51)

<0.0001

LANGUAGE

English speaking

15.3%

30.4%

2.01 (1.94–2.08)

<0.0001

Non-English speaking

17.2%

37.5%

2.20 (1.89–2.56)

<0.0001

INCOME

Income < median ($67,338)

19.1%

34.9%

2.28 (2.16–2.40)

<0.0001

Income > median ($67,338)

11.9%

26.9%

1.85 (1.77–1.93)

<0.0001

  1. aEstimates from generalized estimating equations models where the dependent variable is HIV testing (binary 1 or 0), and the independent variable is time period (before, after reminder). The before reminder time period serves as the reference category, and stratification is used for each level of the patient characteristic