AHRQ Patient Safety Network

The Collection > United States of America

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Safety Target

•Device-related Complications (123)

•Diagnostic Errors (142)

•Identification Errors (95)

•Discontinuities, Gaps, and Hand-Off Problems (332)

•Fatigue and Sleep Deprivation (58)

•Medication Safety (1136)

•Medical Complications (349)

•Nonsurgical Procedural Complications (62)

•Surgical Complications (321)

•Transfusion Complications (25)

•Psychological and Social Complications (79)

Origin/Sponsor
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United States of America

•United States Federal Government (111)

•State Governments and Agencies (16)

Resource Types

•Audiovisual (24)

•Award (10)

•Book/Report (111)

•Clinical Guideline (5)

•Journal Article (2288)

•Legislation/Regulation (37)

•Meeting/Conference (16)

•Newsletter/Journal (3)

•Newspaper/Magazine Article (292)

•Press Release/Announcement (11)

•Special or Theme Issue (32)

•Tools/Toolkit (26)

•Web Resource (47)

•Grant (4)

Error Types

•Epidemiology of Errors and Adverse Events (1031)

•Active Errors (415)

•Latent Errors (153)

•Near Miss (60)

Approach to Improving Safety

•Quality Improvement Strategies (644)

•Legal and Policy Approaches (206)

•Error Reporting and Analysis (863)

•Communication Improvement (608)

•Human Factors Engineering (394)

•Teamwork (193)

•Specialization of Care (206)

•Logistical Approaches (233)

•Culture of Safety (309)

•Technologic Approaches (809)

•Education and Training (476)

Clinical Areas

•Allied Health Services (8)

Target Audience

•Health Care Providers (2007)

•Health Care Executives and Administrators (2387)

•Non-Health Care Professionals (1131)

•Patients (161)

Setting of Care

•Hospitals (1790)

•Psychiatric Facilities (9)

•Residential Facilities (57)

•Ambulatory Care (304)

•Outpatient Surgery (32)

•Patient Transport (19)

1 - 20 of 2906

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STUDY

Effect of a pharmacist-led multicomponent intervention focusing on the medication monitoring phase to prevent potential adverse drug events in nursing homes.

Lapane KL, Hughes CM, Daiello LA, Cameron KA, Feinberg J. J Am Geriatr Soc. 2011;59:1238-1245.

STUDY

Enhancing patient safety with intelligent intravenous infusion devices: experience in a specialty cardiac hospital.

Wood JL, Burnette JS. Heart Lung. 2012;41:173-176.

STUDY

Fall prevention in acute care hospitals: a randomized trial.

Dykes PC, Carroll DL, Hurley A, et al. JAMA. 2010;304:1912-1918.

STUDY

Paramedic self-reported medication errors.

Vilke GM, Tornabene SV, Stepanski B, et al. Prehosp Emerg Care. 2006;10:457-462.

STUDY

Field test results of a new ambulatory care Medication Error and Adverse Drug Event Reporting System—MEADERS.

Hickner J, Zafar A, Kuo GM, et al. Ann Fam Med. 2010;8:517-525.

STUDY

Using a data-matrix–coded sponge counting system across a surgical practice: impact after 18 months.

Cima RR, Kollengode A, Clark J, et al. Jt Comm J Qual Patient Saf. 2011;37:51-58.

STUDY

Analysis and prioritization of near-miss adverse events in a radiology department.

Thornton RH, Miransky J, Killen AR, Solomon SB, Brody LA. AJR Am J Roentgenol. 2011;196:1120-1124.

STUDY

Safety of using a computerized rounding and sign-out system to reduce resident duty hours.

Van Eaton EG, McDonough K, Lober WB, Johnson EA, Pellegrini CA, Horvath KD. Acad Med. 2010;85:1189-1195.

STUDY

Using an enhanced oral chemotherapy computerized provider order entry system to reduce prescribing errors and improve safety.

Collins CM, Elsaid KA. Int J Qual Health Care. 2011;23:36-43.

STUDY

A human factors framework and study of the effect of nursing workload on patient safety and employee quality of working life.

Holden RJ, Scanlon MC, Patel NR, et al. BMJ Qual Saf. 2011;20:15-24.

REVIEW

Patient safety in dermatology: a review of the literature.

Cao LY, Taylor JS, Vidimos A. Dermatol Online J. 2010;16:3.

COMMENTARY

Detecting adverse drug events through data mining.

Glasgow JM, Kaboli PJ. Am J Health Syst Pharm. 2010;67:317-320.

STUDY

Predictive value of alert triggers for identification of developing adverse drug events.

Moore C, Li J, Hung CC, Downs J, Nebeker JR. J Patient Saf. 2009;5:223-228.

STUDY

Effectiveness of a barcode medication administration system in reducing preventable adverse drug events in a neonatal intensive care unit: a prospective cohort study.

Morriss FH Jr, Abramowitz PW, Nelson SP, et al. J Pediatr. 2009;197:678-685.

STUDY

Medication errors related to computerized order entry for children.

Walsh KE, Adams WG, Bauchner H, et al. Pediatrics. 2006;118:1872-1879.

STUDY

Utilising improvement science methods to optimise medication reconciliation.

White CM, Schoettker PJ, Conway PH, et al. BMJ Qual Saf. 2011;20:372-380.

STUDY

An unintended consequence of electronic prescriptions: prevalence and impact of internal discrepancies.

Palchuk MB, Fang EA, Cygielnik JM, et al. J Am Med Inform Assoc. 2010;17:472-476.

STUDY

Effect of computerized provider order entry with clinical decision support on adverse drug events in the long-term care setting.

Gurwitz JH, Field TS, Rochon P, et al. J Am Geriatr Soc. 2008;56:2225-2233.

COMMENTARY

Using incident reporting to improve patient safety: a conceptual model.

Pronovost PJ, Holzmueller CG, Young J, et al. J Patient Saf. 2007;3:27-33.

STUDY

Racial disparities in the frequency of patient safety events: results from the National Medicare Patient Safety Monitoring System.

Metersky ML, Hunt DR, Kliman R, et al. Med Care. 2011;49:504-510.

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