Are we heeding the warning signs? Examining providers' overrides of computerized drug-drug interaction alerts in primary care

PLoS ONE

Volumn 8, Issue 12, 2013, Pages

  Slight, Sarah P ^a,b,c   Seger, Diane L ^d   Nanji, Karen C ^c,e   Cho, Insook ^a,c,f   Maniam, Nivethietha ^d   Dykes, Patricia C ^a,d   Bates, David W ^a,c,d  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b DURHAM UNIVERSITY   (United Kingdom)

^c HARVARD MEDICAL SCHOOL   (United States)

^d PARTNERS HEALTHCARE   (United States)

^e MASSACHUSETTS GENERAL HOSPITAL   (United States)

^f Inha University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL TRIAL; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DRUG INTERACTION; FEMALE; HEALTH PERSONNEL ATTITUDE; HOSPITAL INFORMATION SYSTEM; HUMAN; MALE; MULTICENTER STUDY; RANDOMIZED CONTROLLED TRIAL; TEACHING HOSPITAL;

ATTITUDE OF HEALTH PERSONNEL; CROSS-SECTIONAL STUDIES; DRUG INTERACTIONS; FEMALE; HOSPITALS, TEACHING; HUMANS; MALE; MEDICAL ORDER ENTRY SYSTEMS;

EID: 84893474216     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0085071     Document Type: Article

References (18)

1. Gandhi TK, Weingart SN, Borus J, Seger AC, Peterson J et al. (2003) Adverse drug events in ambulatory care. N Engl J Med 348(16): 1556-1564. doi:10.1056/NEJMsa020703. PubMed: 12700376.
2. Berner E (2009) Clinical decision support systems: State of the Art AHRQ Publication No. 09-0069-EF. Rockville, Maryland: Agency for Healthcare Research and Quality. Available: http://healthit.ahrq.gov. Accessed 29 October 2013
3. Bates DW, Gawande AA (2003) Patient safety: Improving safety with information technology. N Engl J Med 348 (25): 2526-2534.
4. Balas EA, Weingarten S, Garb CT, Blumenthal D, Boren SA et al. (2000) Improving preventive care by prompting physicians. Arch Intern Med 160(3): 301-308. doi:10.1001/archinte.160.3.301. PubMed: 10668831.
5. Bates DW, Leape LL, Cullen DJ, Laird N, Petersen LA et al. (1998) Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. J Am Med Assoc 280(15): 1311-1316. doi:10.1001/jama.280.15.1311. PubMed: 9794308.
6. Kaushal R, Shojania KG, Bates DW (2003) Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med 163(12): 1409-1416. PubMed: 12824090.
7. Kaushal R, Jha AK, Franz C, Glaser J, Shetty KD et al. (2006) Return on investment for a computerized physician order entry system. J Am Med Inform Assoc 13(3): 261-266. doi:10.1197/jamia.M1984. PubMed: 16501178.
8. Chertow GM, Lee J, Kuperman GJ, Burdick E, Horsky J et al. (2001) Guided medication dosing for inpatients with renal insufficiency. J Am Med Assoc 286(22): 2839-2844. doi:10.1001/jama.286.22.2839. PubMed: 11735759.
9. Kohn L, Corrigan JM, Donaldson MS, editors. To err is Human: Building a safer health system Consensus Report of Institute of Medicine (USA), Nov 1999; Free Brief Report. Available: http://www.iom.edu. Accessed 4 December 2013
10. Shah NR, Seger AC, Seger DL, Fiskio JM, Kuperman GJ et al. (Jan-Feb2006) Improving acceptance of computerized prescribing alerts in ambulatory care. J Am Med Inform Assoc 13(1): 5-11. doi:10.1197/jamia.M1868. PubMed: 16221941.
11. Weingart SN, Toth M, Sands DZ, Aronson MD, Davis RB et al. (2003) Physicians' decisions to override computerized drug alerts in primary care. Arch Intern Med 163(21): 2625-2631. doi:10.1001/archinte.163.21.2625. PubMed: 14638563.
12. Peterson JF, Bates DW (2001) Preventable medication errors: identifying and eliminating serious drug interactions. J Am Pharm Assoc (Wash) 41(2): 159-160. PubMed: 11297326.
13. Phansalkar S, Desai AA, Bell D, Yoshida E, Doole J et al. (2012) High-priority drug-drug interactions for use in electronic health records. J Am Med Inform Assoc 19(5): 735-743. doi:10.1136/amiajnl-2011-000612. PubMed: 22539083.
14. Phansalkar S, van der Sijs H, Tucker AD, Desai AA, Bell DS et al. (2012) Drug-drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records. J Am Med Inform Assoc 20(3):489-93. PubMed: 23011124.
15. Phansalkar S, Edworthy J, Hellier E, Seger DL, Schedlbauer A et al. (2010) A review of human factors principles for the design and implementation of medication safety alerts in clinical information systems. J Am Med Inform Assoc 17(5): 493-501. doi:10.1136/jamia.2010.005264. PubMed: 20819851.
16. Zachariah M, Phansalkar S, Seidling HM, Neri PM, Cresswell KM et al. (2011) Development and preliminary evidence for the validity of an instrument assessing implementation of human-factors principles in medication-related decision-support systems - I-MeDeSA. J Am Med Inform Assoc 18 Suppl 1: i62-i72. doi:10.1136/amiajnl-2011-000362. PubMed: 21946241.
17. Seidling HM, Phansalkar S, Seger DL, Paterno MD, Shaykevich S et al. (2011) Factors influencing alert acceptance: a novel approach for predicting the success of clinical decision support. J Am Med Inform Assoc 18(4): 479-484. doi:10.1136/amiajnl-2010-000039. PubMed: 21571746.
18. Cañas F, Tanasijevic MJ, Ma'luf N, Bates DW (1999) Evaluating the appropriateness of digoxin level monitoring. Arch Intern Med 159(4): 363-368. doi:10.1001/archinte.159.4.363. PubMed: 10030309.