经医学工作者的社会工作者,有后退社会风险的社会工作者,经社会工作者评估社会工作者

A. Conca, Doaa Ebrahim, Sandra Noack, A. Gabele, H. Weber, M. Prins, Anja Keller, Mariann Hari, A. Engel, Katharina Regez, Ursula Schild, P. Schuetz, B. Müller, S. Haubitz, Alexander Kutz, A. Huber, Lukas Faessler, Petra Schäfer-Keller
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引用次数: 1

摘要

背景老年患者出院后往往需要急性期后护理。社工的参与对出院计划过程有积极影响。目的探讨社工及时筛查有急症后护理需要的高危患者与常规护理相比,在社工通知、住院时间和延迟出院方面的影响。方法采用5个分组(病房)、2个步骤(对照至干预)的整群随机阶梯楔形试验设计。共纳入400例急性后护理需求高风险患者(每期200例)(定义为急性后护理出院评分,PACD≥7)。社会工作者进行筛选,以决定是否自我转介到他们的服务(干预期),并将其与医生和护士高度结构化的标准SW通知(控制期)进行比较。一个广义估计方程模型调整聚类和基线差异。结果共139例患者转介到社会服务机构(干预:n = 76;对照组:n = 63)。在对所有基线差异进行调整后,干预期间社会工作者通知时间明显缩短(Mdn 1.2 vs 1.7, Beta = -0.73, 95% ci 1.39至-0.09)。住院时间和延迟出院时间均无显著差异(Mdn 10.0 vs 9.1, Beta = -0.12, 95%-CI 0.46 ~ 0.22)。Mdn 0.0 vs 0.0, Beta = 0.11, 95%-CI -0.64 ~ 0.86)。结论筛查加快了社工的通报速度,但没有加快出院进程。社会工作者的筛查可能会显示出在结构化出院计划较少的环境中流程的改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Screening by Social Workers in Medical Patients with Risk of Post-Acute Care Needs: A Stepped Wedge Cluster Randomized Trial / Evaluation eines Screenings durch Sozialarbeiter bei medizinischen Patienten mit einem Risiko für post-akuten Nachsorgebedarf: eine stepped wedge clusterrandomisierte Studie
Abstract Background Elderly patients often need post-acute care after hospital discharge. Involvement of social workers can positively affect the discharge planning process. Aim To investigate the effect of screening patients at risk for post-acute care needs by social workers on time with respect to social workers’ notification, length of stay and delays in discharge compared to usual care. Methods Cluster randomized stepped wedge trial design for five clusters (wards) and two steps (control to intervention) was used. A total of 400 patients (200 per period) with high risk of post-acute care needs (defined as Post-Acute Care Discharge score, PACD ≥ 7) were included. Social workers performed a screening to decide about self-referral to their services (intervention period), which was compared to a highly structured standard SW notification by physicians and nurses (control period). A Generalized Estimating Equations model adjusted the clustering and baseline differences. Results A total of 139 patients were referred to social services (intervention: n = 76; control: n = 63). Time to social workers’ notification was significantly shorter in the intervention period when adjusted for all the differences in baseline (Mdn 1.2 vs 1.7, Beta = -0.73, 95%-CI 1.39 to -0.09). Both the length of stay and the delayed discharge time in nights showed no significant differences (Mdn 10.0 vs 9.1, Beta = -0.12, 95%-CI 0.46 to .22 nights 95%-CI, resp. Mdn 0.0 vs 0.0, Beta = .11, 95%-CI -0.64 to 0.86). Conclusion Screening speeded up social workers’ notification but did not accelerate the discharge processes. The screening by social workers might show process improvement in settings with less structured discharge planning.
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