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Table 3 Multivariable meta-regression model for CDSS uptake, controlling for uptake type (n = 58)

From: Do providers use computerized clinical decision support systems? A systematic review and meta-regression of clinical decision support uptake

CDSS features

Estimate (95% CI)

p value

Uptake type

 Clinician

Ref

 

 Patient

− 1.09 (− 2.63, 0.45)

0.17

 Event

− 0.85 (− 3.70, 0.01)

0.34

Feature 4: Has the availability and quality of the patient data needed to inform the CDSS been formally evaluated?

 No (37/58)

Ref

 

 Yes (21/58)

1.21 (0.24, 2.19)

0.02

Feature 35: Were other barriers to the behaviour changes being targeted by the CDSS discussed (i.e. medication costs), and if so were strategies implemented to address those barriers?

 No (51/58)

Ref

 

 Yes (7/58)

1.64 (0.22, 3.07)

0.02

Feature 15: Was the CDSS pilot tested and was the accuracy of information specifically assessed?

 No (40/58)

Ref

 

 Yes (20/58)

− 0.96 (− 1.98, 0.05)

0.06

Feature 7: Was specific additional hardware (other than what was already present as part of usual care) required and available for the CDSS?

 No (51/58)

Ref

 

 Yes (7/58)

0.97 (− 0.40, 2.34)

0.17

Feature 44: Did the CDSS require reason for override of use/recommendations?

 No (51/58)

Ref

 

 Yes (7/58

0.90 (− 0.57, 2.37)

0.23

Feature 52: Was there a co-intervention in the CDSS group?

 No (37/58)

Ref

 

 Yes (21/58)

0.47 (− 0.53, 1.48)

0.36

Feature 28: If the CDSS used specific functions for prioritized decision support (i.e. pop-ups), were they pilot tested or assessed in a post-study evaluation?

 No (42/58)

Ref

 

 Yes (15/58)

0.36 (− 0.60, 1.32)

0.46

 NA (1/58)

  

Feature 38: If CDSS usage and performance was monitored during the study, were there strategies in place to fix any identified problems?

 No (14/58)

Ref

 

 Yes (19/58)

0.23 (− 0.74, 1.21)

0.64

 NA (25/58)

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