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- W2096331386 abstract "Background Clinical decision support systems (CDSSs) have the potential to improve kidney-related drug prescribing by supporting the appropriate initiation, modification, monitoring, or discontinuation of drug therapy. Study Design Systematic review. We identified studies by searching multiple bibliographic databases (eg, MEDLINE and EMBASE), conference proceedings, and reference lists of all included studies. Setting & Population CDSSs used in hospital or outpatient settings for acute kidney injury and chronic kidney disease, including end-stage renal disease (chronic dialysis patients or transplant recipients). Selection Criteria for Studies Studies prospectively using CDSSs to aid in kidney-related drug prescribing. Intervention Computerized or manual CDSSs. Outcomes Clinician prescribing and patient-important outcomes as reported by primary study investigators. CDSS characteristics, such as whether the system was computerized, and system setting. Results We identified 32 studies. In 17 studies, CDSSs were computerized, and in 15 studies, they were manual pharmacist-based systems. Systems intervened by prompting for drug dosing adjustments in relation to the level of decreased kidney function (25 studies) or in response to serum drug concentrations or a clinical parameter (7 studies). They were used most in academic hospital settings. For computerized CDSSs, clinician prescribing outcomes (eg, frequency of appropriate dosing) were considered in 11 studies, with all 11 reporting statistically significant improvements. Similarly, manual CDSSs that incorporated clinician prescribing outcomes showed statistically significant improvements in 6 of 8 studies. Patient-important outcomes (eg, adverse drug events) were considered in 7 studies of computerized CDSSs, with statistically significant improvements in 2 studies. For manual CDSSs, 6 studies measured patient-important outcomes and 5 reported statistically significant improvements. Cost-savings also were reported, mostly for manual CDSSs. Limitations Studies were heterogeneous in design and often limited by the evaluation method used. Benefits of CDSSs may be reported selectively in this literature. Conclusion CDSSs are available for many dimensions of kidney-related drug prescribing, and results are promising. Additional high-quality evaluations will guide their optimal use. Clinical decision support systems (CDSSs) have the potential to improve kidney-related drug prescribing by supporting the appropriate initiation, modification, monitoring, or discontinuation of drug therapy. Systematic review. We identified studies by searching multiple bibliographic databases (eg, MEDLINE and EMBASE), conference proceedings, and reference lists of all included studies. CDSSs used in hospital or outpatient settings for acute kidney injury and chronic kidney disease, including end-stage renal disease (chronic dialysis patients or transplant recipients). Studies prospectively using CDSSs to aid in kidney-related drug prescribing. Computerized or manual CDSSs. Clinician prescribing and patient-important outcomes as reported by primary study investigators. CDSS characteristics, such as whether the system was computerized, and system setting. We identified 32 studies. In 17 studies, CDSSs were computerized, and in 15 studies, they were manual pharmacist-based systems. Systems intervened by prompting for drug dosing adjustments in relation to the level of decreased kidney function (25 studies) or in response to serum drug concentrations or a clinical parameter (7 studies). They were used most in academic hospital settings. For computerized CDSSs, clinician prescribing outcomes (eg, frequency of appropriate dosing) were considered in 11 studies, with all 11 reporting statistically significant improvements. Similarly, manual CDSSs that incorporated clinician prescribing outcomes showed statistically significant improvements in 6 of 8 studies. Patient-important outcomes (eg, adverse drug events) were considered in 7 studies of computerized CDSSs, with statistically significant improvements in 2 studies. For manual CDSSs, 6 studies measured patient-important outcomes and 5 reported statistically significant improvements. Cost-savings also were reported, mostly for manual CDSSs. Studies were heterogeneous in design and often limited by the evaluation method used. Benefits of CDSSs may be reported selectively in this literature. CDSSs are available for many dimensions of kidney-related drug prescribing, and results are promising. Additional high-quality evaluations will guide their optimal use." @default.
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- W2096331386 date "2011-12-01" @default.
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- W2096331386 title "Use of Clinical Decision Support Systems for Kidney-Related Drug Prescribing: A Systematic Review" @default.
- W2096331386 cites W1583487920 @default.
- W2096331386 cites W1966044267 @default.
- W2096331386 cites W1987192951 @default.
- W2096331386 cites W1988344686 @default.
- W2096331386 cites W1991673679 @default.
- W2096331386 cites W1992484676 @default.
- W2096331386 cites W1995528550 @default.
- W2096331386 cites W2006546769 @default.
- W2096331386 cites W2007872832 @default.
- W2096331386 cites W2011542177 @default.
- W2096331386 cites W2020335896 @default.
- W2096331386 cites W2031600652 @default.
- W2096331386 cites W2032500304 @default.
- W2096331386 cites W2033821028 @default.
- W2096331386 cites W2045006006 @default.
- W2096331386 cites W2051842656 @default.
- W2096331386 cites W2053154970 @default.
- W2096331386 cites W2053442424 @default.
- W2096331386 cites W2064174528 @default.
- W2096331386 cites W2065474982 @default.
- W2096331386 cites W2069340802 @default.
- W2096331386 cites W2080190926 @default.
- W2096331386 cites W2094847582 @default.
- W2096331386 cites W2095587358 @default.
- W2096331386 cites W2104894085 @default.
- W2096331386 cites W2110929342 @default.
- W2096331386 cites W2111175405 @default.
- W2096331386 cites W2111331330 @default.
- W2096331386 cites W2111352465 @default.
- W2096331386 cites W2115441252 @default.
- W2096331386 cites W2115686031 @default.
- W2096331386 cites W2124174184 @default.
- W2096331386 cites W2134370129 @default.
- W2096331386 cites W2136561494 @default.
- W2096331386 cites W2140493146 @default.
- W2096331386 cites W2153767046 @default.
- W2096331386 cites W2157814042 @default.
- W2096331386 cites W2157853211 @default.
- W2096331386 cites W2160477814 @default.
- W2096331386 cites W2163772629 @default.
- W2096331386 cites W2166981796 @default.
- W2096331386 cites W2312807852 @default.
- W2096331386 cites W2337338791 @default.
- W2096331386 cites W2416474474 @default.
- W2096331386 cites W2798513298 @default.
- W2096331386 doi "https://doi.org/10.1053/j.ajkd.2011.07.022" @default.
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