Nguyen Cassandra, Naunton Mark, Thomas Jackson, Todd Lyn, McEwen John, Bushell Mary
University of Canberra, Discipline of Pharmacy, Faculty of Health, Australia.
Explor Res Clin Soc Pharm. 2021 Jun 24;2:100039. doi: 10.1016/j.rcsop.2021.100039. eCollection 2021 Jun.
The number needed to treat (NNT) is a medical statistic used to gauge the efficacy of therapeutic interventions. The versatility of this absolute effect measure has allowed its use in the formulation of many decision aids to support patients and practitioners in making informed healthcare choices. With the rising number of tools available to health professionals, this review synthesizes what is known of the current NNT-based tools which depict the efficacy of pharmaceutical interventions.
To explore the current spectrum of NNT-based decision aids accessible to health professionals with a focus on the potential utility of these devices by pharmacist practitioners.
A literature review was performed in MEDLINE, CINAHL, Web of Science, PsychINFO and Cochrane Library (CENTRAL, Cochrane Database of Systematic Reviews and the Cochrane Methodology Register) for studies published between January 1st 2000 and August 29th 2019. The language was restricted to English unless an appropriate translation existed. Studies that reported NNT-based decision aids of pharmaceutical or therapeutic interventions were included. One author performed study selection and data extraction.
A total of 365 records were identified, of which 19 NNT-based tools met the eligibility criteria, comprising of 8 tool databases and 11 individual decision aids. Decision aids appeared in multiple forms: databases, pictograms, graphs, interactive applications, calculators and charts. All aids were accessible online with a printer-friendly option, and very few came at a cost (e.g. requiring a subscription or access fee). The main tool innovators were the United Kingdom (UK) and United States (US), with English being the language of choice.
Evidence that NNT-based decision aids can contribute to greater satisfaction and involvement of patients in medical decision making is limited and inconclusive. A case for the utilization of these tools by pharmacists has yet to be fully examined in the medical research. NNT tools may provide a valuable resource to upskill pharmacists in communication of research evidence.
需治疗人数(NNT)是一种用于衡量治疗干预效果的医学统计量。这种绝对效应测量方法的通用性使其可用于制定许多决策辅助工具,以支持患者和从业者做出明智的医疗保健选择。随着卫生专业人员可用工具数量的增加,本综述综合了目前已知的基于NNT的工具,这些工具描述了药物干预的效果。
探讨卫生专业人员目前可获得的基于NNT的决策辅助工具的范围,重点关注药剂师从业者对这些工具的潜在效用。
在MEDLINE、CINAHL、科学网、PsychINFO和Cochrane图书馆(CENTRAL、Cochrane系统评价数据库和Cochrane方法学注册库)中进行文献综述,以查找2000年1月1日至2019年8月29日发表的研究。语言仅限于英语,除非有合适的翻译。纳入报告基于NNT的药物或治疗干预决策辅助工具的研究。由一位作者进行研究筛选和数据提取。
共识别出365条记录,其中19种基于NNT的工具符合纳入标准,包括8个工具数据库和11种个体决策辅助工具。决策辅助工具呈现多种形式:数据库、象形图、图表、交互式应用程序、计算器和图表。所有辅助工具均可在线获取,并有打印友好选项,而且很少有收费的(例如需要订阅费或访问费)。主要的工具创新者是英国和美国,首选语言是英语。
基于NNT的决策辅助工具可提高患者对医疗决策的满意度和参与度的证据有限且尚无定论。药剂师使用这些工具的理由在医学研究中尚未得到充分检验。NNT工具可能为药剂师提升研究证据沟通技能提供宝贵资源。