When compared to traditional learning, e-learning may make little or no difference in patient outcomes or health professionals' behaviours, skills or knowledge. Even if e-learning could be more successful than traditional learning in particular medical education settings, general claims of it as inherently more effective than traditional learning may be misleading.

We systematically reviewed randomized controlled trials (RCTs) assessing the effectiveness of computerized decision support systems (CDSSs) featuring rule- or algorithm-based software integrated with electronic health records (EHRs) and evidence-based knowledge. We searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, and Cochrane Database of Abstracts of Reviews of Effects. Information on system design, capabilities, acquisition, implementation context, and effects on mortality, morbidity, and economic outcomes were extracted. Twenty-eight RCTs were included. CDSS use did not affect mortality (16 trials, 37395 patients; 2282 deaths; risk ratio [RR] = 0.96; 95% confidence interval [CI] = 0.85, 1.08; I(2) = 41%). A statistically significant effect was evident in the prevention of morbidity, any disease (9 RCTs; 13868 patients; RR = 0.82; 95% CI = 0.68, 0.99; I(2) = 64%), but selective outcome reporting or publication bias cannot be excluded. We observed differences for costs and health service utilization, although these were often small in magnitude. Across clinical settings, new generation CDSSs integrated with EHRs do not affect mortality and might moderately improve morbidity outcomes.

Objective To investigate whether polypharmacy is associated with a higher incidence of frailty in a large cohort of North Americans during 8 years of follow-up. Design Longitudinal study, follow-up of 8 years. Participants A total of 4402 individuals at high risk or having knee osteoarthritis free from frailty at baseline. Measurements Details regarding medication prescription were captured and categorized as 0–3, 4–6, and ≥7. Frailty was defined using the Study of Osteoporotic Fracture index as the presence of ≥2 out of (1) weight loss ≥5% between baseline and the subsequent follow-up visit; (2) inability to do 5 chair stands; and (3) low energy level according to the Study of Osteoporotic Fracture definition. Cox’s regression models calculating a hazard ratio (HR) with 95% confidence intervals (CIs), adjusted for potential confounders, were undertaken. Results During the 8-year follow-up, from 4402 participants at baseline, 361 became frail. Compared with participants taking 0–3 medications, the incidence of frailty was approximately double in those taking 4–6 medications and 6 times higher in people taking ≥7 medications. After adjusting for 11 potential baseline confounders, participants using 4–6 medications had a higher risk of frailty of 55% (HR = 1.55; 95% CI 1.22–1.96; P < .0001), whereas those using more than 7 drugs were at approximately 147% (HR = 2.47; 95% CI 1.78–3.43; P < .0001). Each additional drug used at the baseline increased the risk of frailty at the follow-up of 11% (HR = 1.11; 95% CI 1.07–1.15; P < .0001). Conclusions Polypharmacy is associated with a higher incidence of frailty over 8-year follow-up period. Our data suggest evidence of a dose response relationship. Future research is required to confirm our findings and explore underlying mechanisms.

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