Kim Bo, Shaikh Omair A, Rose Adam J
Bedford VA Medical Center, Bedford, MA, USA.
Northeastern University, Boston, MA, USA.
J Pharm Technol. 2014 Oct;30(5):168-174. doi: 10.1177/8755122514537042. Epub 2014 May 27.
: Adherence to relatively simple warfarin dosing algorithms has been found to be effective for improving anticoagulation control, and in turn for reducing adverse events. Achieving consistent use of such algorithms by clinicians managing the care is a known challenge. : To examine warfarin management patterns at anticoagulation clinics in light of algorithm-recommended management and to develop a methodology for quality assurance around this issue. : We reviewed 2711 postappointment clinician notes between October 1, 2011, and March 31, 2012, for 481 patients across 5 Veterans Health Administration (VA) sites. Key data gathered were of dosing decisions made following the latest available international normalized ratio (INR). : Dosing decisions discordant with algorithm recommendations were made at 45% of all the appointments studied; most (78%) followed an out-of-range INR value, as opposed to an in-range value. We found "signatures of care" at each site, characterized by consistent patterns of concordant and discordant management. For example, some sites were more discordant in terms of one-time dose changes (eg, take an extra dose for 1 day), while others were more discordant regarding follow-up intervals, and still others regarding the extent of weekly dose changes (usually larger than recommended). It was also not uncommon to change the dose following an in-range value (not recommended). : We identified 5 distinct patterns of management across 5 sites; none were particularly adherent to clinical guidelines. Our method is a suitable basis for audit and feedback to help sites improve patient outcomes by practicing in a more guideline-concordant manner.
已发现遵循相对简单的华法林给药算法对于改善抗凝控制有效,进而可减少不良事件。让负责护理的临床医生始终如一地使用此类算法是一项已知的挑战。
为根据算法推荐的管理方式检查抗凝门诊的华法林管理模式,并围绕此问题开发一种质量保证方法。
我们回顾了2011年10月1日至2012年3月31日期间5个退伍军人健康管理局(VA)站点的481名患者的2711份预约后临床记录。收集的关键数据是根据最新可用的国际标准化比值(INR)做出的给药决定。
在所研究的所有预约中,有45%的给药决定与算法推荐不一致;大多数(78%)是在INR值超出范围后做出的,而不是在范围内时做出的。我们在每个站点都发现了“护理特征”,其特点是一致的一致和不一致管理模式。例如,一些站点在一次性剂量变化(例如额外服用1天剂量)方面不一致,而其他站点在随访间隔方面不一致,还有其他站点在每周剂量变化幅度(通常大于推荐值)方面不一致。在INR值处于范围内时改变剂量(不推荐)也并不罕见。
我们在5个站点中确定了5种不同的管理模式;没有一种特别符合临床指南。我们的方法是进行审核和反馈的合适基础,以帮助各站点通过以更符合指南的方式开展工作来改善患者预后。