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. 2022 Nov 19;22:301. doi: 10.1186/s12911-022-02032-z

Table 4.

Provider perceptions of EMR’s ability to help assess and manage CV risk of patients at high risk of cardiovascular disease or diabetes

Response Measure Question Pre-implementation p-value Post-implementation p-value Treatment by time interaction p-value
CDS UC CDS UC
n = 102 n = 60 n = 78 n = 53
…describe your reactions to your EMR’s ability to help assess and manage the CV risk of patients at high risk for diabetes or cardiovascular disease
1–5 Agree I would like to use our EMR decision support more often to help better manage a patient’s CV risk, n (% Agree) 79 (80.6) 43 (75.4) 0.4480 49 (68.1) 33 (68.8) 0.9361 0.1158
1–5 Agree Our EMR decision support is unnecessarily complex for helping me manage a patient's CV risk, n (% Agree) 36 (37.1) 18 (31.6) 0.4871 21 (29.2) 14 (29.2) 1.0000 0.6957
1–5 Agree Our EMR decision support is easy to use for helping me manage a patient’s CV risk, n (% Agree) 37 (37.8) 19 (33.3) 0.5805 42 (59.2) 20 (40.8) 0.0482 0.0646
1–5 Agree I would need assistance to be able to use our EMR decision support to help me manage a patient's CV risk, n (% Agree) 39 (40.2) 25 (43.9) 0.6569 21 (29.6) 19 (38.8) 0.2934 0.8244
1–5 Agree The various functions in our EMR decision support are well integrated for helping to manage a patient’s CV risk, n (% Agree) 25 (25.5) 15 (26.8) 0.8621 34 (47.2) 17 (34.7) 0.1707 0.0352
1–5 Agree There is too much inconsistency in our EMR’s decision support ability to help manage a patient’s CV risk, n (% Agree) 14 (14.4) 13 (22.8) 0.1870 18 (25.0) 8 (16.3) 0.2542 0.3287
1–5 Agree Most providers can learn to use our EMR decision support very quickly to help them manage a patient's CV risk, n (% Agree) 43 (44.8) 23 (40.4) 0.5918 37 (52.1) 28 (57.1) 0.5867 0.6287
1–5 Agree Our EMR decision support is very cumbersome/awkward to use for helping manage a patient’s CV risk, n (% Agree) 33 (34.0) 19 (33.3) 0.9306 16 (22.9) 14 (29.2) 0.4394 0.4710
1–5 Agree I feel confident using our EMR decision support to help manage a patient’s CV risk, n (% Agree) 40 (40.8) 22 (38.6) 0.7856 36 (50.0) 18 (37.5) 0.1775 0.1781
1–5 Agree I need to learn a lot of things before I could use our EMR decision support to help manage a patient’s CV risk, n (% Agree) 33 (34.0) 16 (28.1) 0.4440 15 (20.8) 11 (22.9) 0.7861 0.7931
System Usability Scale Summary Score, Mean ± SD 54.0 ± 16.7 52.6 ± 18.9 0.6294 58.9 ± 19.8 57.4 ± 17.7 0.6833 0.1654

Percentages calculated by combining agree and strongly agree responses from a five-point scale (strongly disagree, disagree, neither agree nor disagree, agree, strongly agree)