Gionfriddo Michael R, Hu Yirui, Maddineni Bhumika, Kern Melissa, Hayduk Vanessa, Kaledas William R, Elder Nevan, Border Jeffrey, Frusciante Katie, Kobylinski Maria, Wright Eric A
Division of Pharmaceutical, Administrative and Social Sciences, School of Pharmacy, Duquesne University, Pittsburgh, PA, United States.
Center for Pharmacy Innovation and Outcomes, Geisinger Health, Danville, PA, United States.
JMIR Form Res. 2022 Mar 8;6(3):e33488. doi: 10.2196/33488.
Despite routine review of medication lists during patient encounters, patients' medication lists are often incomplete and not reflective of actual medication use. Contributing to this situation is the challenge of reconciling medication information from existing health records, along with external locations (eg, pharmacies, other provider/hospital records, and care facilities) and patient-reported use. Advances in the interoperability and digital collection of information provides a foundation for integration of these once disparate information sources.
We aim to evaluate the effectiveness of and satisfaction with an electronic health record (EHR)-integrated web-based medication reconciliation application, MedTrue (MT).
We conducted a cluster-randomized controlled trial of MT in 6 primary care clinics within an integrated health care delivery system. Our primary outcome was medication list accuracy, as determined by a pharmacist-collected best-possible medication history (BPMH). Patient and staff perspectives were evaluated through surveys and semistructured interviews.
Overall, 224 patients were recruited and underwent a BPMH with the pharmacist (n=118 [52.7%] usual care [UC], n=106 [47.3%] MT). For our primary outcome of medication list accuracy, 8 (7.5%) patients in the MT arm and 9 (7.6%) in the UC arm had 0 discrepancies (odds ratio=1.01, 95% CI 0.38-2.72, P=.98). The most common discrepancy identified was patients reporting no longer taking a medication (UC mean 2.48 vs MT mean 2.58, P=.21). Patients found MT easy to use and on average would highly recommend MT (average net promoter score=8/10). Staff found MT beneficial but difficult to implement.
The use of a web-based application integrated into the EHR which combines EHR, patient-reported data, and pharmacy-dispensed data did not improve medication list accuracy among a population of primary care patients compared to UC but was well received by patients. Future studies should address the limitations of the current application and assess whether improved implementation strategies would impact the effectiveness of the application.
尽管在患者就诊期间会对用药清单进行常规审查,但患者的用药清单往往不完整,无法反映实际用药情况。造成这种情况的原因是,要协调来自现有健康记录以及外部机构(如药房、其他医疗服务提供者/医院记录和护理机构)的用药信息,同时还要考虑患者报告的用药情况,这存在一定挑战。信息互操作性和数字收集方面的进展为整合这些曾经分散的信息源奠定了基础。
我们旨在评估一款集成于电子健康记录(EHR)的基于网络的用药核对应用程序MedTrue(MT)的有效性和满意度。
我们在一个综合医疗服务提供系统内的6家基层医疗诊所进行了一项关于MT的整群随机对照试验。我们的主要结局是用药清单准确性,由药剂师收集的最佳可能用药史(BPMH)来确定。通过调查和半结构化访谈评估患者和工作人员的观点。
总体而言,招募了224名患者,并由药剂师进行了BPMH(n = 118 [52.7%]接受常规护理[UC],n = 106 [47.3%]接受MT)。对于我们的主要结局用药清单准确性,MT组有8名(7.5%)患者,UC组有9名(7.6%)患者无差异(优势比 = 1.01,95%置信区间0.38 - 2.72,P = 0.98)。发现的最常见差异是患者报告不再服用某种药物(UC组平均2.48,MT组平均2.58,P = 0.21)。患者发现MT易于使用,平均而言会强烈推荐MT(平均净推荐值 = 8/10)。工作人员发现MT有益但难以实施。
与UC相比,在基层医疗患者群体中,使用集成于EHR的基于网络的应用程序(该程序结合了EHR、患者报告的数据和药房配药数据)并未提高用药清单准确性,但受到患者的好评。未来的研究应解决当前应用程序的局限性,并评估改进的实施策略是否会影响该应用程序的有效性。