Full Text View
Tabular View
No Study Results Posted
Related Studies
LabAlert: Enhancing Medication Safety Through Electronic Interventions to Improve Laboratory Monitoring
This study has been completed.
First Received: November 17, 2005   Last Updated: November 29, 2006   History of Changes
Sponsors and Collaborators: Kaiser Permanente
Garfield Memorial Trust
Information provided by: Kaiser Permanente
ClinicalTrials.gov Identifier: NCT00256386
  Purpose

Errors and preventable adverse events associated with medication prescription and dispensing are common, and the difference between guideline recommendations and the actual frequency of laboratory monitoring is substantial. This study evaluates three interventions to improve laboratory monitoring at initiation of medication therapy: an electronic medical record reminder to the prescribing clinician (EMR), an automated voice message to the patient (AVM), and a pharmacy team outreach (Pharmacy) compared to usual care (UC).


Condition Intervention
Safety
Device: Electronic Medical Record (EMR) to clinician's in-basket
Device: Automated Voice Message (AVM) reminder to patient's phone
Procedure: Pharmacy Team phone call-letter followup

U.S. FDA Resources
Study Type: Interventional
Study Design: Prevention, Randomized, Single Blind, Active Control, Parallel Assignment, Efficacy Study
Official Title: LabAlert: Enhancing Medication Safety Through Electronic Interventions to Improve Medication Safety

Further study details as provided by Kaiser Permanente:

Primary Outcome Measures:
  • The number of patients that complete recommended laboratory monitoring within one week and twenty five days after intervention.
  • The study will evaluate the time to completion of the recommended labs.
  • The study will also evaluate PCP and patient experiences with the interventions in order to refine the interventions in the future.

Estimated Enrollment: 800
Study Start Date: January 2004
Estimated Study Completion Date: March 2005
Detailed Description:

Many of the medications that clinicians prescribe to prevent or treat disease can result in unanticipated and unintended toxic effects. Many national clinical guidelines recommend baseline and periodic laboratory monitoring to avoid adverse drug events. Our Safety in Prescribing project (SIP) has found many significant gaps in medication safety. Lab Alert will evaluate electronic tools to improve Kaiser Permanente's performance in laboratory monitoring to avoid adverse drug events. We will enroll patients who are taking high-risk medications and who have not received laboratory monitoring.

The primary outcome of this 2-year study is the proportion of patients who receive guideline-based laboratory monitoring at 1 and 3 weeks post-intervention.

Fifteen primary care clinics will be randomly assigned to: (1) usual care (UC) (2) electronic message reminder (EMR) (3) automated voice message (AVM) (4) pharmacy outreach team (Pharmacy). The reminders will notify of the patient's need for guideline-specified laboratory testing due to medication use.

Using electronic data, patients with PCPs assigned to intervention clinics who are on study-specified medications will be identified and screened for exclusions, to yield 600 patients (200 per intervention group). Patients will be assigned to the treatment groups on the basis of the condition assigned to their usual clinic. After the intervention and observation periods, and using the same time frame and inclusion and exclusion criteria used to identify the patients in the intervention arms, we will retrospectively identify a comparison 200-patient cohort in the usual care clinics. Thus, approximately 800 patients will be included in the study. Baseline, follow-up, and outcome data will be obtained from electronic records.

Study-defined medications will be finalized by the study team and quality committees. These medications are identified based upon previous work and are prescribed with reasonable frequency, commonly have gaps in laboratory monitoring, carry significant risk of toxicity, and are of interest to the participating HMOs because of prior and potential adverse events. We anticipate focusing on baseline monitoring for new prescriptions. New starts will be defined as patients with an index prescription but no other dispense of that medication in the prior 6 months.

Lab Alert will assess the effectiveness of a patient-specific electronic medical record (EMR) in-basket reminder to the primary care provider (PCP) (EMR reminder), an automated recorded voice message to the patient (AVM), pharmacy team outreach (Pharmacy) to increase the proportion of patients receiving all guideline-based laboratory monitoring, when compared to usual care (UC). If any intervention is better than UC, Lab Alert will assess and compare their effectiveness and costs. The study also will evaluate PCP and patient experiences with the intervention in order to refine the interventions in the future.

  Eligibility

Ages Eligible for Study:   18 Years and older
Genders Eligible for Study:   Both
Accepts Healthy Volunteers:   No
Criteria

Inclusion Criteria:

  • Dispensed one of 12 drugs or classes of drugs where baseline safety laboratory monitoring is recommended and labs have not been completed 6 months prior or 5 days after the dispense of the medication.
  • 18 years of age or older
  • 12-month HMO membership
  • drug benefit coverage
  • has telephone number

Exclusion Criteria:

  • recommended baseline laboratory monitoring completed
  • receives care and/or resides in hospice, nursing home, care outside HMO
  • enrolled in other care management program
  • nonEnglish speaking needing translation services
  Contacts and Locations
Please refer to this study by its ClinicalTrials.gov identifier: NCT00256386

Locations
United States, Oregon
Kaiser Permanente Center for Health Research
Portland, Oregon, United States, 97227
Sponsors and Collaborators
Kaiser Permanente
Garfield Memorial Trust
Investigators
Principal Investigator: Adrianne C. Feldstein, MD, MS Northwest Permanente
  More Information

Publications:
Feldstein AC, Smith DH, Perrin N, Yang X, Rix M, Raebel MA, Magid DJ, Simon SR, Soumerai SB. Improved therapeutic monitoring with several interventions: a randomized trial. Arch Intern Med. 2006 Sep 25;166(17):1848-54.
Brennan TA, Leape LL, Laird NM, Hebert L, Localio AR, Lawthers AG, Newhouse JP, Weiler PC, Hiatt HH. Incidence of adverse events and negligence in hospitalized patients. Results of the Harvard Medical Practice Study I. N Engl J Med. 1991 Feb 7;324(6):370-6.
Beard K. Adverse reactions as a cause of hospital admission in the aged. Drugs Aging. 1992 Jul-Aug;2(4):356-67. Review.
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 Jan 22-29;277(4):301-6.
Burnum JF. Letter: Preventability of adverse drug reactions. Ann Intern Med. 1976 Jul;85(1):80-1. No abstract available.
Leape LL, Brennan TA, Laird N, Lawthers AG, Localio AR, Barnes BA, Hebert L, Newhouse JP, Weiler PC, Hiatt H. The nature of adverse events in hospitalized patients. Results of the Harvard Medical Practice Study II. N Engl J Med. 1991 Feb 7;324(6):377-84.
Bates DW, Cullen DJ, Laird N, Petersen LA, Small SD, Servi D, Laffel G, Sweitzer BJ, Shea BF, Hallisey R, et al. Incidence of adverse drug events and potential adverse drug events. Implications for prevention. ADE Prevention Study Group. JAMA. 1995 Jul 5;274(1):29-34.
Thomas EJ, Studdert DM, Burstin HR, Orav EJ, Zeena T, Williams EJ, Howard KM, Weiler PC, Brennan TA. Incidence and types of adverse events and negligent care in Utah and Colorado. Med Care. 2000 Mar;38(3):261-71.
Gandhi TK, Burstin HR, Cook EF, Puopolo AL, Haas JS, Brennan TA, Bates DW. Drug complications in outpatients. J Gen Intern Med. 2000 Mar;15(3):149-54.
Hulse RK, Clark SJ, Jackson JC, Warner HR, Gardner RM. Computerized medication monitoring system. Am J Hosp Pharm. 1976 Oct;33(10):1061-4.
Lesar TS, Briceland L, Stein DS. Factors related to errors in medication prescribing. JAMA. 1997 Jan 22-29;277(4):312-7.
Graham DJ, Drinkard CR, Shatin D, Tsong Y, Burgess MJ. Liver enzyme monitoring in patients treated with troglitazone. JAMA. 2001 Aug 15;286(7):831-3.
Selby JV, Ettinger B, Swain BE, Brown JB. First 20 months' experience with use of metformin for type 2 diabetes in a large health maintenance organization. Diabetes Care. 1999 Jan;22(1):38-44.
Beach JE, Faich GA, Bormel FG, Sasinowski FJ. Black box warnings in prescription drug labeling: results of a survey of 206 drugs. Food Drug Law J. 1998;53(3):403-11. No abstract available.
Raebel MA, Lyons EE, Andrade SE, Chan KA, Chester EA, Davis RL, Ellis JL, Feldstein A, Gunter MJ, Lafata JE, Long CL, Magid DJ, Selby JV, Simon SR, Platt R. Laboratory monitoring of drugs at initiation of therapy in ambulatory care. J Gen Intern Med. 2005 Dec;20(12):1120-6.
Shea S, DuMouchel W, Bahamonde L. A meta-analysis of 16 randomized controlled trials to evaluate computer-based clinical reminder systems for preventive care in the ambulatory setting. J Am Med Inform Assoc. 1996 Nov-Dec;3(6):399-409.
Balas EA, Weingarten S, Garb CT, Blumenthal D, Boren SA, Brown GD. Improving preventive care by prompting physicians. Arch Intern Med. 2000 Feb 14;160(3):301-8.
Rind DM, Safran C, Phillips RS, Wang Q, Calkins DR, Delbanco TL, Bleich HL, Slack WV. Effect of computer-based alerts on the treatment and outcomes of hospitalized patients. Arch Intern Med. 1994 Jul 11;154(13):1511-7.
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 Jun 23;163(12):1409-16. Review.
Hoch I, Heymann AD, Kurman I, Valinsky LJ, Chodick G, Shalev V. Countrywide computer alerts to community physicians improve potassium testing in patients receiving diuretics. J Am Med Inform Assoc. 2003 Nov-Dec;10(6):541-6. Epub 2003 Aug 4.
Freeborn DK PC. Promise and performance in managed care. Greenlick M, Freeborn D, Pope C, editors. 1994. Baltimore, MD, Johns Hopkins University Press.
Feldstein AC, Smith DH, Robertson NR, Kovach CA, Soumerai SB, Simon SR et al. Design and implementation of decision support for outpatient prescribing in an electronic medical record. The Safety in Prescribing study. Advances in Patient Safety: From Research to Implementation. Rockville: Agency for Healthcare Research and Quality, 2005.
Clark DO, Von Korff M, Saunders K, Baluch WM, Simon GE. A chronic disease score with empirically derived weights. Med Care. 1995 Aug;33(8):783-95.
Hosmer DWJr, Lemeshow S. Applied survival analysis: Regression modeling of time to event data. New York: Wiley and Sons, 1999.
Raudenbush S, Bryk A, Cheong YF, Congdon R. HLM 5 hierarchical linear and nonlinear modeling. Lincolnwood: Scientific Software International, 2001.
Schiff GD, Klass D, Peterson J, Shah G, Bates DW. Linking laboratory and pharmacy: opportunities for reducing errors and improving care. Arch Intern Med. 2003 Apr 28;163(8):893-900. Review.
Balas EA, Boren SA, Griffing G. Computerized management of diabetes: a synthesis of controlled trials. Proc AMIA Symp. 1998;:295-9.
Bates DW. Using information technology to reduce rates of medication errors in hospitals. BMJ. 2000 Mar 18;320(7237):788-91. No abstract available.
Feldstein A, Elmer PJ, Smith DH, Herson M, Orwoll E, Chen C, Aickin M, Swain MC. Electronic medical record reminder improves osteoporosis management after a fracture: a randomized, controlled trial. J Am Geriatr Soc. 2006 Mar;54(3):450-7.
Skipwith DH. Telephone counseling interventions with caregivers of elders. J Psychosoc Nurs Ment Health Serv. 1994 Mar;32(3):7-12.
Smith CC, Bernstein LI, Davis RB, Rind DM, Shmerling RH. Screening for statin-related toxicity: the yield of transaminase and creatine kinase measurements in a primary care setting. Arch Intern Med. 2003 Mar 24;163(6):688-92.
Krishna S, Balas EA, Boren SA, Maglaveras N. Patient acceptance of educational voice messages: a review of controlled clinical studies. Methods Inf Med. 2002;41(5):360-9. Review.
Linkins RW, Dini EF, Watson G, Patriarca PA. A randomized trial of the effectiveness of computer-generated telephone messages in increasing immunization visits among preschool children. Arch Pediatr Adolesc Med. 1994 Sep;148(9):908-14.
Leirer VO, Morrow DG, Pariante G, Doksum T. Increasing influenza vaccination adherence through voice mail. J Am Geriatr Soc. 1989 Dec;37(12):1147-50.
Tanke ED, Leirer VO. Automated telephone reminders in tuberculosis care. Med Care. 1994 Apr;32(4):380-9.
Friedman RH, Kazis LE, Jette A, Smith MB, Stollerman J, Torgerson J, Carey K. A telecommunications system for monitoring and counseling patients with hypertension. Impact on medication adherence and blood pressure control. Am J Hypertens. 1996 Apr;9(4 Pt 1):285-92.
Friedman RH, Stollerman J, Rozenblyum L, Belfer D, Selim A, Mahoney D, Steinbach S. A telecommunications system to manage patients with chronic disease. Medinfo. 1998;9 Pt 2:1330-4.
Piette JD, Mah CA. The feasibility of automated voice messaging as an adjunct to diabetes outpatient care. Diabetes Care. 1997 Jan;20(1):15-21.
Raebel MA, Lyons EE, Chester EA, Bodily MA, Kelleher JA, Long CL, Miller C, Magid DJ. Improving laboratory monitoring at initiation of drug therapy in ambulatory care: a randomized trial. Arch Intern Med. 2005 Nov 14;165(20):2395-401.
Simon SR, Andrade SE, Ellis JL, Nelson WW, Gurwitz JH, Lafata JE, Davis RL, Feldstein A, Raebel MA. Baseline laboratory monitoring of cardiovascular medications in elderly health maintenance organization enrollees. J Am Geriatr Soc. 2005 Dec;53(12):2165-9.

Study ID Numbers: 101-9520 Garfield Mem Trust
Study First Received: November 17, 2005
Last Updated: November 29, 2006
ClinicalTrials.gov Identifier: NCT00256386     History of Changes
Health Authority: United States: Institutional Review Board

Keywords provided by Kaiser Permanente:
Baseline
Laboratory
Drug

ClinicalTrials.gov processed this record on May 07, 2009