Najafzadeh Mehdi, Schnipper Jeffrey L, Shrank William H, Kymes Steven, Brennan Troyen A, Choudhry Niteesh K
Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, 1620 Tremont St, Ste 3030, Boston, MA 02120. E-mail:
Am J Manag Care. 2016 Oct;22(10):654-661.
Medication discrepancies at the time of hospital discharge are common and can harm patients. Medication reconciliation by pharmacists has been shown to prevent such discrepancies and the adverse drug events (ADEs) that can result from them. Our objective was to estimate the economic value of nontargeted and targeted medication reconciliation conducted by pharmacists and pharmacy technicians at hospital discharge versus usual care.
Discrete-event simulation model.
We developed a discrete-event simulation model to prospectively model the incidence of drug-related events from a hospital payer's perspective. The model assumptions were based on data published in the peer-reviewed literature. Incidences of medication discrepancies, preventable ADEs, emergency department visits, rehospitalizations, costs, and net benefit were estimated.
The expected total cost of preventable ADEs was estimated to be $472 (95% credible interval [CI], $247-$778) per patient with usual care. Under the base-case assumption that medication reconciliation could reduce medication discrepancies by 52%, the cost of preventable ADEs could be reduced to $266 (95% CI, $150-$423), resulting in a net benefit of $206 (95% CI, $73-$373) per patient, after accounting for intervention costs. A medication reconciliation intervention that reduces medication discrepancies by at least 10% could cover the initial cost of intervention. Targeting medication reconciliation to high-risk individuals would achieve a higher net benefit than a nontargeted intervention only if the sensitivity and specificity of a screening tool were at least 90% and 70%, respectively.
Our study suggests that implementing a pharmacist-led medication reconciliation intervention at hospital discharge could be cost saving compared with usual care.
出院时的用药差异很常见,可能会对患者造成伤害。药剂师进行的用药核对已被证明可以预防此类差异以及可能由此导致的药物不良事件(ADEs)。我们的目的是评估药剂师和药房技术人员在出院时进行的非针对性和针对性用药核对相对于常规护理的经济价值。
离散事件模拟模型。
我们开发了一个离散事件模拟模型,以前瞻性地从医院支付方的角度模拟药物相关事件的发生率。模型假设基于同行评审文献中发表的数据。估计了用药差异、可预防的ADEs、急诊就诊、再住院、成本和净效益的发生率。
在常规护理下,每名患者可预防的ADEs的预期总成本估计为472美元(95%可信区间[CI],247 - 778美元)。在用药核对可将用药差异减少52%的基础案例假设下,可预防的ADEs成本可降至266美元(95%CI,150 - 423美元),在考虑干预成本后,每名患者的净效益为206美元(95%CI,73 - 373美元)。一种将用药差异减少至少10%的用药核对干预措施可以覆盖干预的初始成本。仅当筛查工具的敏感性和特异性分别至少为90%和70%时,针对高危个体进行用药核对才能比非针对性干预获得更高的净效益。
我们的研究表明,与常规护理相比,在出院时实施由药剂师主导的用药核对干预可能节省成本。