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数字工具对促进医院质量和安全的影响与出院后不良事件的关系。

Effect of digital tools to promote hospital quality and safety on adverse events after discharge.

机构信息

Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States.

Harvard Medical School, Boston, MA 02115, United States.

出版信息

J Am Med Inform Assoc. 2024 Oct 1;31(10):2304-2314. doi: 10.1093/jamia/ocae176.

Abstract

OBJECTIVES

Post-discharge adverse events (AEs) are common and heralded by new and worsening symptoms (NWS). We evaluated the effect of electronic health record (EHR)-integrated digital tools designed to promote quality and safety in hospitalized patients on NWS and AEs after discharge.

MATERIALS AND METHODS

Adult general medicine patients at a community hospital were enrolled. We implemented a dashboard which clinicians used to assess safety risks during interdisciplinary rounds. Post-implementation patients were randomized to complete a discharge checklist whose responses were incorporated into the dashboard. Outcomes were assessed using EHR review and 30-day call data adjudicated by 2 clinicians and analyzed using Poisson regression. We conducted comparisons of each exposure on post-discharge outcomes and used selected variables and NWS as independent predictors to model post-discharge AEs using multivariable logistic regression.

RESULTS

A total of 260 patients (122 pre, 71 post [dashboard], 67 post [dashboard plus discharge checklist]) enrolled. The adjusted incidence rate ratios (aIRR) for NWS and AEs were unchanged in the post- compared to pre-implementation period. For patient-reported NWS, aIRR was non-significantly higher for dashboard plus discharge checklist compared to dashboard participants (1.23 [0.97,1.56], P = .08). For post-implementation patients with an AE, aIRR for duration of injury (>1 week) was significantly lower for dashboard plus discharge checklist compared to dashboard participants (0 [0,0.53], P < .01). In multivariable models, certain patient-reported NWS were associated with AEs (3.76 [1.89,7.82], P < .01).

DISCUSSION

While significant reductions in post-discharge AEs were not observed, checklist participants experiencing a post-discharge AE were more likely to report NWS and had a shorter duration of injury.

CONCLUSION

Interventions designed to prompt patients to report NWS may facilitate earlier detection of AEs after discharge.

CLINICALTRIALS.GOV: NCT05232656.

摘要

目的

出院后不良事件(AE)很常见,并以新的和恶化的症状(NWS)为标志。我们评估了旨在促进住院患者质量和安全的电子健康记录(EHR)集成数字工具对出院后 NWS 和 AE 的影响。

材料和方法

社区医院的成年内科患者被纳入研究。我们实施了一个仪表板,临床医生可以用它来评估跨学科查房期间的安全风险。实施后,患者被随机分配完成一份出院检查表,其回答将被纳入仪表板。使用 EHR 审查和由 2 名临床医生进行的 30 天电话数据裁决来评估结果,并使用泊松回归进行分析。我们对每种暴露因素对出院后结果的影响进行了比较,并使用选定的变量和 NWS 作为独立预测因子,使用多变量逻辑回归模型对出院后 AE 进行建模。

结果

共纳入 260 名患者(122 名前组,71 名后组[仪表板],67 名后组[仪表板加出院检查表])。与实施前相比,实施后 NWS 和 AE 的调整后发病率比值(aIRR)没有变化。对于患者报告的 NWS,与使用仪表板的患者相比,使用仪表板加出院检查表的患者的 aIRR 显著更高(1.23 [0.97,1.56],P=0.08)。对于实施后发生 AE 的患者,与使用仪表板的患者相比,使用仪表板加出院检查表的患者的损伤持续时间(>1 周)的 aIRR 显著降低(0 [0,0.53],P<0.01)。在多变量模型中,某些患者报告的 NWS 与 AE 相关(3.76 [1.89,7.82],P<0.01)。

讨论

尽管未观察到出院后 AE 显著减少,但经历出院后 AE 的检查表参与者更有可能报告 NWS,且损伤持续时间更短。

结论

旨在提示患者报告 NWS 的干预措施可能有助于更早发现出院后的 AE。

临床试验.gov:NCT05232656。

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