Girotto Erica, Roveron Gabriele, Bortolami Elena, Piva Fabiola, Ferrarese Sabrina, Pavanati Paola, Rossin Mariella, Chiari Paolo
Responsabile Area Sviluppo Professionale e Ricerca Direzione Professioni Sanitarie Azienda Ulss 18 Rovigo. Correspondence:
Infermiere Direzione Professioni Sanitarie Azienda Ulss 18 Rovigo.
Prof Inferm. 2016 Apr-Jun;69(2):76-83. doi: 10.7429/pi.2016.692076.
The primary objective of the study is to measure the phenomenon of the difficult discharge through the implementation and use of a validated instrument that can support later the nurse in planning the discharge of patients hospitalized in the departments of Medi- cine and Geriatrics.
prospective observational study to measure the phenomenon of the difficult discharge through the implementation of the index of BRASS in the Medicine and Geriatrics wards of Hospital of Rovigo Ulss 18, in order to study the characteristics of the population at risk of discharge difficult.
In a sample of 165 patients, 42.4% (70) respectively at risk was high and medium discharge difficult, while 15.2% (25) were at low risk. The average score was 18.76 BRASS. 37.6% of high-risk patients were hospitalized in Geriatrics, while in Medicine patients are more concentrated in the middle class risk.
The study made it possible to measure the phenomenon of the difficult discharge classifying patients into risk groups. The analysis of the resignation protected revealed the congruence between score BRASS and sample characteristics. The instrument does not require long compile times, is to support decision-making because of the nurse notes the need to create a structured on the discharge of the patient, in a systematic and planned, avoi- ding the dispersion of important information to the right to ensure continuity welfare.
本研究的主要目的是通过实施和使用一种经过验证的工具来衡量出院困难现象,该工具随后可协助护士为内科和老年病科住院患者制定出院计划。
前瞻性观察性研究,通过在罗维戈乌尔西18医院的内科和老年病科病房实施BRASS指数来衡量出院困难现象,以研究有出院困难风险人群的特征。
在165名患者的样本中,42.4%(70名)分别处于高风险和中等出院困难风险,而15.2%(25名)处于低风险。BRASS平均得分为18.76分。37.6%的高风险患者在老年病科住院,而在内科,患者更多集中在中等风险类别。
该研究能够通过将患者分类到风险组来衡量出院困难现象。对受保护离职的分析揭示了BRASS评分与样本特征之间的一致性。该工具不需要很长的编制时间,有助于决策,因为护士注意到需要以系统和有计划的方式为患者出院创建一个结构化流程,避免重要信息的分散,以确保福利的连续性。