Electronic Prescribing at the Point of Care: A Time-Motion Study in the Primary Care Setting

被引:45
作者
Devine, Emily Beth [1 ,2 ]
Hollingworth, William [3 ]
Hansen, Ryan N.
Lawless, Nathan M. [4 ]
Wilson-Norton, Jennifer L. [4 ]
Martin, Diane P. [5 ]
Blough, David K. [1 ]
Sullivan, Sean D. [1 ]
机构
[1] Univ Washington, Pharmaceut Outcomes Res & Policy Program, Sch Pharm, Seattle, WA 98195 USA
[2] Univ Washington, Sch Med, Seattle, WA 98195 USA
[3] Univ Bristol, Dept Social Med, Bristol, Avon, England
[4] Everett Clin, Strateg Hlth Serv, Everett, WA USA
[5] Univ Washington, Dept Hlth Serv, Seattle, WA 98195 USA
基金
美国医疗保健研究与质量局;
关键词
CPOE; e-prescribing; time-motion; hardware configurations; point-; of-care; PHYSICIAN ORDER ENTRY; CLINICAL DECISION-SUPPORT; HEALTH INFORMATION-TECHNOLOGY; ADVERSE DRUG EVENTS; MEDICATION ERRORS; IMPACT; RECORDS; SYSTEMS; IMPLEMENTATION; COMMUNICATION;
D O I
10.1111/j.1475-6773.2009.01063.x
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objective To evaluate the impact of an ambulatory computerized provider order entry (CPOE ) system on the time efficiency of prescribers. Two primary aims were to compare prescribing time between (1) handwritten and electronic (e-) prescriptions and (2) e-prescriptions using differing hardware configurations. Data Sources/Study Setting Primary data on prescribers/staff were collected (2005-2007) at three primary care clinics in a community based, multispecialty health system. Study Design This was a quasi-experimental, direct observation, time-motion study conducted in two phases. In phase 1 (n=69 subjects), each site used a unique combination of CPOE software/hardware (paper-based, desktops in prescriber offices or hallway workstations, or laptops). In phase 2 (n=77), all sites used CPOE software on desktops in examination rooms (at point of care). Data Collection Methods Data were collected using TimerPro software on a Palm device. Principal Findings Average time to e-prescribe using CPOE in the examination room was 69 seconds/prescription-event (new/renewed combined)-25 seconds longer than to handwrite (99.5 percent confidence interval [CI] 12.38), and 24 seconds longer than to e-prescribe at offices/workstations (99.5 percent CI 8.39). Each calculates to 20 seconds longer per patient. Conclusions E-prescribing takes longer than handwriting. E-prescribing at the point of care takes longer than e-prescribing in offices/workstations. Improvements in safety and quality may be worth the investment of time.
引用
收藏
页码:152 / 171
页数:20
相关论文
共 36 条
[1]   The effect of electronic prescribing on medication errors and adverse drug events: A systematic review [J].
Ammenwerth, Elske ;
Schnell-Inderst, Petra ;
Machan, Christof ;
Siebert, Uwe .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2008, 15 (05) :585-600
[2]  
[Anonymous], 2001, Crossing the Quality Chasm: A New Health Care System for the 21st Century
[3]   Factors and forces affecting EHR system adoption: Report of a 2004 ACMI discussion [J].
Ash, JS ;
Bates, DW .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2005, 12 (01) :8-12
[4]   A consensus statement on considerations for a successful CPOE implementation [J].
Ash, JS ;
Stavri, PZ ;
Kuperman, GJ .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2003, 10 (03) :229-234
[5]   Autarchy, market disintegration, and health: the mortality and nutritional crisis in Nazi Germany, 1933-1937 [J].
Baten, Joerg ;
Wagner, Andrea .
ECONOMICS & HUMAN BIOLOGY, 2003, 1 (01) :1-28
[6]   Physicians and ambulatory electronic health records [J].
Bates, DW .
HEALTH AFFAIRS, 2005, 24 (05) :1180-1189
[7]   Effect of computerized physician order entry and a team intervention on prevention of serious medication errors [J].
Bates, DW ;
Leape, LL ;
Cullen, DJ ;
Laird, N ;
Petersen, LA ;
Teich, JM ;
Burdick, E ;
Hickey, M ;
Kleefield, S ;
Shea, B ;
Vander Vliet, M ;
Seger, DL .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1998, 280 (15) :1311-1316
[8]   The impact of computerized physician order entry on medication error prevention [J].
Bates, DW ;
Teich, JM ;
Lee, J ;
Seger, D ;
Kuperman, GJ ;
Ma'Luf, N ;
Boyle, D ;
Leape, L .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 1999, 6 (04) :313-321
[9]   Ten commandments for effective clinical decision support: Making the practice of evidence-based medicine a reality [J].
Bates, DW ;
Kuperman, GJ ;
Wang, S ;
Gandhi, T ;
Kittler, A ;
Volk, L ;
Spurr, C ;
Khorasani, R ;
Tanasijevic, M ;
Middleton, B .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2003, 10 (06) :523-530
[10]   Types of unintended consequences related to computerized provider order entry [J].
Campbell, Emily M. ;
Sittig, Dean F. ;
Ash, Joan S. ;
Guappone, Kenneth P. ;
Dykstra, Richard H. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2006, 13 (05) :547-556