医学
药方
心理干预
危害
三级护理
不利影响
儿科
人口
急诊医学
家庭医学
内科学
精神科
药理学
环境卫生
政治学
法学
作者
A Selzer,Fabian Eibensteiner,Lukas Kaltenegger,Michelle Hana,Gerda Laml-Wallner,Matthias Benjamin Geist,Christopher Mandler,Isabella Valent,Klaus Arbeiter,Thomas Mueller‐Sacherer,Marion Herle,Christoph Aufricht,Michael Böehm
标识
DOI:10.1136/archdischild-2022-325119
摘要
Objective Children with medical complexity (CMC) are among the most vulnerable patient groups. This study aimed to evaluate their prevalence and risk factors for medication misunderstanding and potential harm (PH) at discharge. Design and setting Cross-sectional study at a tertiary care centre. Study population CMC admitted at Medical University of Vienna between May 2018 and January 2019. Intervention CMC and caregivers underwent a structured interview at discharge; medication understanding and PH for adverse events were assessed by a hybrid approach. Main outcome measures Medication misunderstanding rate; PH. Results For 106 included children (median age 9.6 years), a median number of 5.0 (IQR 3.0–8.0) different medications were prescribed. 83 CMC (78.3%) demonstrated at least one misunderstanding, in 33 CMC (31.1%), potential harm was detected, 5 of them severe. Misunderstandings were associated with more medications (r=0.24, p=0.013), new prescriptions (r=0.23, p=0.019), quality of medication-related communication (r=−0.21, p=0.032), low level of education (p=0.013), low language skills (p=0.002) and migratory background (p=0.001). Relative risk of PH was 2.27 times increased (95% CI 1.23 to 4.22) with new medications, 2.14 times increased (95% CI 1.10 to 4.17) with migratory background. Conclusion Despite continuous care at a tertiary care centre and high level of subjective satisfaction, high prevalence of medication misunderstanding with relevant risk for PH was discovered in CMC and their caregivers. This demonstrates the need of interventions to improve patient safety, with stratification of medication-related communication for high-risk groups and a restructured discharge process focusing on detection of misunderstandings (‘unknown unknowns’).
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