PREDICTORS | DESCRIPTIVE STATISTICS AND CORRELATIONS | LINEAR REGRESSION MODEL TO PREDICT USAGE | |||||
---|---|---|---|---|---|---|---|
MEAN (SD) | MINIMUM | MAXIMUM | CORRELATION WITH USAGE | ESTIMATE | 95% CI | P VALUE | |
Physicians’ perceptions and intentions | |||||||
Perceived usefulness* | |||||||
• Average score of usefulness† | 4.26 (0.51) | 3 | 5 | 0.08 | 0.03 | −0.06 to 0.12 | .57 |
Perceived ease of use | |||||||
• MOXXI will be easy to use | 4.13 (0.69) | 2 | 5 | 0.19 | 0.05 | −0.02 to 0.12 | .14 |
Social influence | |||||||
• Colleagues’ attitudes will be positive toward my use of MOXXI | 4.08 (0.61) | 3 | 5 | 0.11 | 0.03 | −0.04 to 0.11 | .40 |
Intention to use | |||||||
• I will use MOXXI with most of my patients | 4.49 (0.62) | 2 | 5 | −0.02 | 0.00 | −0.08 to 0.07 | .90 |
Physician characteristics | |||||||
Male sex‡ | NA | NA | NA | 0.19 | 0.07 | −0.02 to 0.16 | .15 |
Practice experience | |||||||
• Graduation year | 1982 (7.55) | 1965 | 1999 | −0.17 | −0.004 | −0.010 to 0.002 | .18 |
Physician typology§ | |||||||
• Pragmatist | NA | NA | NA | 0.18 | 0.07 | −0.03 to 0.16 | .17 |
• Receptive | NA | NA | NA | 0.10 | −0.07 | −0.20 to 0.06 | .26 |
• Seeker | NA | NA | NA | −0.15 | 0.05 | −0.08 to 0.17 | .44 |
Previous computer experience | |||||||
• No. of hours per week of computer use | 5.67 (6.37) | 0 | 30 | 0.45 | 0.01 | 0.01 to 0.02 | < .001 |
Practice characteristics | |||||||
Continuity of care|| | 0.57 (0.09) | 0 | 1 | −0.08 | −0.17 | −0.69 to 0.35 | .52 |
Average medication use¶ | 2.84 (0.83) | 1 | 5 | 0.30 | 0.07 | 0.01 to 0.12 | .02 |
Practice size | 1840 (877) | 19 | 3880 | −0.17 | 0.00 | 0.00 to 0.00 | .20 |
Practice volume# | 20.74 (7.26) | 2 | 42 | −0.17 | 0.00 | −0.01 to 0.00 | .19 |
MOXXI—medical office of the 21st century, NA—not applicable.
↵* Cronbach α = .90.
↵† Average score of usefulness is average of scores of 9 questions coming from perceived usefulness: 1) electronic prescribing will be useful; 2) electronic prescribing will make work easier; 3) electronic prescribing will have a beneficial effect on quality of patient care; 4) electronic prescribing will increase my professional satisfaction; 5) electronic prescribing will have a beneficial communication with other health care professionals; 6) electronic prescribing will improve continuity of care; 7) electronic prescribing will increase my professional autonomy; 8) electronic prescribing will increase patients’ satisfaction; and 9) electronic prescribing will have a minimal effect on depersonalizing patient care.
↵‡ Female sex was used as reference category.
↵§ Traditionalist was used as reference category.
↵|| Proportion of visits made to study physician for each patient in the practice in the 18 months before the study.
↵¶ No. of medications was counted for each patient in the 18 months before the study.
↵# Daily no. of patients seen based on the no. of patient visits during the 18 months before the study divided by the no. of days worked during that same period.