Reducing excessive medication administration in hospitalized adults with renal dysfunction

American Journal of Medical Quality

Volumn 20, Issue 2, 2005, Pages 64-69

  Nash, Ira S ^a,d   Rojas, Mary ^c   Hebert, Paul ^c   Marrone, Stephen R ^b   Colgan, Claudia ^b   Fisher, Lori A ^c   Caliendo, Gina ^c   Chassin, Mark R ^c  

^a Marie Josee and Henry R Kravis Center for Cardiovascular Health   (United States)

^b Department of Nursing ^*  (United States)

^c MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^d MOUNT SINAI MEDICAL CENTER   (United States)

Author keywords

Clinical decision support; Computerized order entry; Medication error; Renal insufficiency

Indexed keywords

ANALGESIC AGENT; ANTIDIABETIC AGENT; ANTIFUNGAL AGENT; ANTIINFECTIVE AGENT;

ARTICLE; AUTOMATION; COMPUTER AIDED DESIGN; FEEDBACK SYSTEM; HOSPITALIZATION; HUMAN; KIDNEY DISEASE; KIDNEY FAILURE; MEDICATION ERROR; NURSING; PATIENT; PHARMACIST; TIME; ADULT; COMPUTER ASSISTED DRUG THERAPY; DECISION SUPPORT SYSTEM; GLOMERULUS FILTRATION RATE; HOSPITAL ORGANIZATION; ORGANIZATION AND MANAGEMENT; UNITED STATES; UNIVERSITY HOSPITAL;

ACADEMIC MEDICAL CENTERS; ADULT; DECISION SUPPORT SYSTEMS, CLINICAL; DRUG THERAPY, COMPUTER-ASSISTED; GLOMERULAR FILTRATION RATE; HOSPITALIZATION; HUMANS; KIDNEY FAILURE; MEDICATION ERRORS; MEDICATION SYSTEMS, HOSPITAL; NEW YORK CITY;

EID: 17944377919     PISSN: 10628606     EISSN: None     Source Type: Journal    
DOI: 10.1177/1062860604273752     Document Type: Article

References (24)

1. Kohn LT, Corrigan JM, Donaldson MS, eds. To Err Is Human: Building a Safer Health Care System. Washington, DC: National Academy Press; 1999.
2. Institute of Medicine, Committee on Quality of Health Care in America. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, DC: National Academy Press; 2001.
3. Brennan TA, Leape LL, Laird NM, et al. Incidence of adverse events and negligence in hospitalized patients: results from the Harvard Medical Practice Study I. N Engl J Med. 1991;324:370-376.
4. Leape LL, Brennan TA, Laird NM, et al. The nature of adverse events in hospitalized patients: results from the Harvard Medical Practice Study II. N Engl J Med. 1991;324: 377-384.
5. Bates DW, Cullen DJ, Laird N, et al. Incidence of adverse drug events and potential adverse drug events: implications for prevention. JAMA. 1995;274:29-34.
6. Classen DC, Pestotnik SL, Evans RS, Lloyd JF, Burke JP. Adverse drug events in hospitalized patients: excess length of stay, extra costs, and attributable mortality. JAMA. 1997;277:301-306.
7. Bates DW, Spell N, Cullen DJ, et al. The costs of adverse drug events in hospitalized patients. JAMA. 1997;277:307-311.
8. Raschke RA, Gollihare B, Wunderlich TA, et al. A computer alert system to prevent injury from adverse drug events: development and evaluation in a community teaching hospital. JAMA. 1998;280:1317-1320.
9. Evans RS, Pestotnik SL, Classen DC, et al. A computer-assisted management program for antibiotics and other antiinfective agents. N Engl J Med. 1998;338:232-238.
10. Kuperman GJ, Gibson RF. Computer physician order entry: benefits, costs, and issues. Ann Intern Med. 2003;139:31-39.
11. Bates DW, Leape LL, Cullen DJ, et al. Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. JAMA. 1998;280:1311-1316.
12. Nightingale PG, Adu D, Richards NT, Peters M. Implementation of rules based computerised bedside prescribing and administration: intervention study. BMJ. 2000;320:750-753.
13. Hunt DL, Haynes B, Hanna SE, Smith K. Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. JAMA. 1998;280:1339-1346.
14. Walton R, Dovey S, Harvey E, Freemantle N. Computer support for determining drug dose: systematic review and meta- analysis. BMJ. 1999;318:984-990.
15. Classen DC. Clinical decision support systems to improve clinical practice and quality of care. JAMA. 1998;280:1360-1361.
16. Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med. 2003;163:1409-1416.
17. 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.
18. Rind DM, Safran C, Phillips RS, et al. Effect of computer-based alerts on the treatment and outcomes of hospitalized patients. Arch Intern Med. 1994;154:1511-1517.
19. Goldberg DE, Baardsgaard G, Johnson MT, Jolowsky CM, Shepherd M, Peterson CD. Computer-based program for identifying medication orders requiring dosage modification based on renal function. Am J Hosp Pharm. 1991;48:965-1969.
20. McMullin ST, Reichley RM, Kahn MG, Dunagan WC, Bailey TC. Automated system for identifying potential dosage problems at a large university hospital. Am J Health Syst Pharm. 1997;54:545-549.
21. Aronoff GA, ed. Drug Prescribing in Renal Failure: Dosing Guidelines for Adults. 4th ed. Philadelphia, Pa: American College of Physicians; 1999.
22. Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16:31-41.
23. Honigman B, Lee J, Rothschild J, et al. Using computerized data to identify adverse drug events in outpatients. J Am Med Inform Assoc. 2001;8:254-266.
24. Jha AK, Kuperman GJ, Teich JM, et al. Identifying adverse drug events: development of a computer-based monitor and comparison with chart review and stimulated voluntary report. J Am Med Inform Assoc. 1998;5:305-313.