The impact of real-time alerting on appropriate prescribing in kidney disease: A cluster randomized controlled trial

Journal of the American Medical Informatics Association

Volumn 23, Issue 3, 2016, Pages 609-616

  Awdishu, Linda ^a,b   Coates, Carrie R ^c   Lyddane, Adam ^c   Tran, Kim ^d   Daniels, Charles E ^a,c   Lee, Joshua ^e   El Kareh, Robert ^b  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA SAN DIEGO HEALTH SYSTEM   (United States)

^d Northeast Georgia Diagnostic Clinic   (United States)

^e UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

AKI; Appropriate prescribing; CKD; Clinical decision support; Medication dosing; Renal insufficiency

Indexed keywords

AMOXICILLIN PLUS CLAVULANIC ACID; CIPROFLOXACIN; CLARITHROMYCIN; DABIGATRAN; ENOXAPARIN; GLIBENCLAMIDE; IBUPROFEN; KETOROLAC; METFORMIN; METOCLOPRAMIDE; NAPROXEN; NITROFURANTOIN; PETHIDINE; RISEDRONIC ACID; TRAMADOL; VORICONAZOLE;

ACUTE KIDNEY FAILURE; ADULT; AGE; AMBULATORY CARE; ARTICLE; CHRONIC KIDNEY DISEASE; CLINICAL DECISION SUPPORT SYSTEM; CLINICAL EVALUATION; CONTROLLED STUDY; ELECTRONIC HEALTH RECORD; FEMALE; GENDER; GLOMERULUS FILTRATION RATE; HEALTH CARE QUALITY; HOSPITAL PATIENT; HOSPITALIZATION; HUMAN; KIDNEY FUNCTION; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; PATIENT MONITORING; PATIENT SAFETY; PRESCRIPTION; PROSPECTIVE STUDY; RANDOMIZED CONTROLLED TRIAL; TIME; WORKFLOW; CLINICAL PRACTICE; COMPUTER ASSISTED DRUG THERAPY; ELECTRONIC PRESCRIBING; KIDNEY FAILURE; PHYSICIAN ORDER ENTRY SYSTEM;

ADULT; DRUG THERAPY, COMPUTER-ASSISTED; ELECTRONIC PRESCRIBING; FEMALE; HOSPITALIZATION; HUMANS; MALE; MEDICAL ORDER ENTRY SYSTEMS; PRACTICE PATTERNS, PHYSICIANS'; RENAL INSUFFICIENCY;

EID: 84978933913     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1093/jamia/ocv159     Document Type: Article

References (29)

1. Uchino S, Kellum JA, Bellomo R, et al. Acute renal failure in critically ill patients: a multinational, multicenter study. JAMA. 2005;294(7):813-818.
2. Mehta RL, Pascual MT, Soroko S, et al. Spectrum of acute renal failure in the intensive care unit: the PICARD experience. Kidney Int. 2004;66(4):1613-1621.
3. Wonnacott A, Meran S, Amphlett B, Talabani B, Phillips A. Epidemiology and outcomes in community-acquired versus hospital-acquired AKI. CJASN. 2014;9(6):1007-1014.
4. Yong TY, Fok JS, Ng PZ, et al. The significance of reduced kidney function among hospitalized acute general medical patients. QJM. 2013;106(1):59-65.
5. Zeng X, McMahon GM, Brunelli SM, Bates DW, Waikar SS. Incidence, outcomes, and comparisons across definitions of AKI in hospitalized individuals. CJASN. 2014;9(1):12-20.
6. Challiner R, Ritchie JP, Fullwood C, Loughnan P, Hutchison AJ. Incidence and consequence of acute kidney injury in unselected emergency admissions to a large acute UK hospital trust. BMC Nephrol. 2014;15:84.
7. Bedford M, Stevens PE, Wheeler TW, Farmer CK. What is the real impact of acute kidney injury? BMC Nephrol. 2014;15:95.
8. Quartarolo JM, Thoelke M, Schafers SJ. Reporting of estimated glomerular filtration rate: effect on physician recognition of chronic kidney disease and prescribing practices for elderly hospitalized patients. J Hospital Med. 2007;2(2):74-78.
9. Selby NM, Crowley L, Fluck RJ, et al. Use of electronic results reporting to diagnose and monitor AKI in hospitalized patients. CJASN. 2012;7(4):533-540.
10. Huang DL, Abrass IB, Young BA. Medication safety and chronic kidney disease in older adults prescribed metformin: a cross-sectional analysis. BMC Nephrol. 2014;15:86.
11. Nielsen AL, Henriksen DP, Marinakis C, et al. Drug dosing in patients with renal insufficiency in a hospital setting using electronic prescribing and automated reporting of estimated glomerular filtration rate. Basic Clin Pharmacol Toxicol. 2014;114(5):407-413.
12. Leung AA, Schiff G, Keohane C, et al. Impact of vendor computerized physician order entry on patients with renal impairment in community hospitals. J Hosp Med. 2013;8(10):545-552.
13. Westbrook JI, Reckmann M, Li L, et al. Effects of two commercial electronic prescribing systems on prescribing error rates in hospital in-patients: a before and after study. PLoS Med. 2012;9(1):e1001164.
14. Tawadrous D, Shariff SZ, Haynes RB, Iansavichus AV, Jain AK, Garg AX. Use of clinical decision support systems for kidney-related drug prescribing: a systematic review. Am J Kidney Dis. 2011;58(6):903-914.
15. McCoy AB, Waitman LR, Gadd CS, et al. A computerized provider order entry intervention for medication safety during acute kidney injury: a quality improvement report. Am J Kidney Dis. 2010;56(5):832-841.
16. Field TS, Rochon P, Lee M, Gavendo L, Baril JL, Gurwitz JH. Computerized clinical decision support during medication ordering for long-term care residents with renal insufficiency. JAMIA. 2009;16(4):480-485.
17. Roberts GW, Farmer CJ, Cheney PC, et al. Clinical decision support implemented with academic detailing improves prescribing of key renally cleared drugs in the hospital setting. JAMIA. 2010;17(3):308-312.
18. Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16(1):31-41.
19. Campbell MK, Mollison J, Steen N, Grimshaw JM, Eccles M. Analysis of cluster randomized trials in primary care: a practical approach. Fam Pract. 2000;17(2):192-196.
20. Oppenheim MI, Vidal C, Velasco FT, et al. Impact of a computerized alert during physician order entry on medication dosing in patients with renal impairment. Proc AMIA Symp. 2002:577-581.
21. Roberts LL, Ward MM, Brokel JM, Wakefield DS, Crandall DK, Conlon P. Impact of health information technology on detection of potential adverse drug events at the ordering stage. AJHP. 2010;67(21):1838-1846.
22. Rind DM, Safran C, Phillips RS, et al. Effect of computer-based alerts on the treatment and outcomes of hospitalized patients. Arch Int Med. 1994; 154(13):1511-1517.
23. Bates DW, Kuperman GJ, Wang S, et al. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. JAMIA. 2003;10(6):523-530.
24. Cabana MD, Rand CS, Powe NR, et al. Why don't physicians follow clinical practice guidelines? A framework for improvement. JAMA. 1999;282(15): 1458-1465.
25. Chertow GM, Lee J, Kuperman GJ, et al. Guided medication dosing for inpatients with renal insufficiency. JAMA. 2001;286(22):2839-2844.
26. Cho I, Slight SP, Nanji KC, Seger DL, Dykes P, Bates DW. Understanding responses to a renal dosing decision support system in primary care. Stud Health Technol Informatics. 2013;192:931.
27. Awdishu L, Rivas-Mazariegos A, Bouchard J, et al. Risk of antimicrobial dosing errors in patients with acute kidney injury. JASN. 2009:S595A.
28. Kanjanarat P, Winterstein AG, Johns TE, Hatton RC, Gonzalez-Rothi R, Segal R. Nature of preventable adverse drug events in hospitals: a literature review. AJHP. 2003;60(17):1750-1759.
29. Thomsen LA, Winterstein AG, Sondergaard B, Haugbolle LS, Melander A. Systematic review of the incidence and characteristics of preventable adverse drug events in ambulatory care. Ann Pharmacotherapy. 2007;41(9): 1411-1426.