Key result
STRIP Assistant drives a ~670% relative increase in medication changes for potential prescribing omissions versus usual care.
Why the study?
The study aimed to evaluate the effect of prescribing recommendations generated using STRIP Assistant on appropriate prescribing and mortality in a preoperative setting.
Does providing prescribing recommendations using STRIP Assistant improve appropriate prescribing in older adults on polypharmacy in a preoperative setting?
RCT (n=124)
1:1 ratio
Does providing prescribing recommendations using STRIP Assistant improve appropriate prescribing in older adults on polypharmacy in a preoperative setting?
Odds Ratio: 0.04 (95% CI 0.003–0.46)
Absolute Event Rate: 26.2% vs 3.4%
p-value: p=< .05
Providing prescribing recommendations via a clinical decision support system improved appropriate prescribing in older adults in a preoperative setting, though it did not affect 3-month mortality.
Supports preoperative use of STRIP Assistant to optimize prescribing in older adults; confirms RCT benefit of decision support for medication review.
AIMS: The Systematic Tool to Reduce Inappropriate Prescribing is a method to assess patient's medication and has been incorporated into a clinical decision support system: STRIP Assistant. Our aim was to evaluate the effect of recommendations generated using STRIP Assistant on appropriate prescribing and mortality in a preoperative setting. METHODS: This cluster-randomized controlled trial was carried out at the preoperative geriatric outpatient clinic. Residents who performed a comprehensive geriatric assessment were randomized to the control group and intervention group in a 1:1 ratio. Visiting patients aged 70 years or older on 5 or more medications were included. INTERVENTION: prescribing recommendations were generated by a physician using STRIP Assistant and given to the resident. Control group residents performed a medication review according to usual care. PRIMARY OUTCOME: number of medication changes made because of potential prescribing omissions (PPOs), potentially inappropriate medications (PIMs), and suboptimal dosages according to the prescribing recommendations. Secondary outcome: 3-month postoperative mortality. RESULTS: 65 intervention and 59 control patients were included, attended by 34 residents. Significantly more medication changes because of PPOs and PIMs were made in the intervention group than in the control group (PPOs 26.2% vs 3.4%, odds ratio 0.04 [95% confidence interval 0.003-0.46] P < .05; PIMS 46.2% vs 15.3% odds ratio 0.14 [95% confidence interval 0.07-0.57] P < .005). There were no differences in dose adjustments or in postoperative mortality. CONCLUSION: Prescribing recommendations generated with the help of STRIP Assistant improved appropriate prescribing in a preoperative geriatric outpatient clinic but did not affect postoperative mortality.
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Boersma et al. (2019) conducted an RCT in Polypharmacy in preoperative older adults (n=124). STRIP Assistant prescribing recommendations vs. Medication review according to usual care was evaluated on Medication changes made because of potential prescribing omissions (PPOs) (OR 0.04, 95% CI 0.003-0.46, p=< .05). Prescribing recommendations using STRIP Assistant increased medication changes for potential prescribing omissions (26.2% vs 3.4%; OR 0.04) and inappropriate medications (46.2% vs 15.3%; OR 0.14).
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