Division of Palliative Care and Geriatric Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA; Center for Aging and Serious Illness, Mongan Institute, Massachusetts General Hospital, Boston, MA; Department of Health Services, Policy & Practice, Brown University, School of Public Health, Providence, RI.
Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
Arch Phys Med Rehabil. 2022 Dec;103(12):2383-2390. doi: 10.1016/j.apmr.2022.06.004. Epub 2022 Jul 6.
To determine whether patient-reported information, routinely collected in an outpatient setting, is associated with readmission within 30 days of discharge and/or the need for post-acute care after a subsequent hospital admission.
Retrospective cohort study. Six domains of patient-reported information collected in the outpatient setting (psychological distress, respiratory symptoms, musculoskeletal pain, family support, mobility, and activities of daily living [ADLs]) were linked to electronic health record hospitalization data. Mixed effects logistic regression models with random intercepts were used to identify the association between the 6 domains and outcomes.
Outpatient clinics and hospitals in a Midwestern health system.
7671 patients who were hospitalized 11,445 times between May 2004 and May 2014 (N=7671).
None.
30-day hospital readmission and discharge home vs facility.
Domains were significantly associated with 30-day readmission and placement in a facility. Specifically, mobility (odds ratio [OR]=1.30; 95% confidence interval [CI], 1.16, 1.46), ADLs (OR=1.27; 95% CI, 1.13, 1.42), respiratory symptoms (OR=1.26; 95% CI, 1.12, 1.41), and psychological distress (OR=1.20; 95% CI, 1.07, 1.35) had the strongest associations with 30-day readmission. The ADL (OR=2.52; 95% CI, 2.26, 2.81), mobility (OR=2.35; 95% CI, 2.10, 2.63), family support (OR=2.28; 95% CI, 1.98, 2.62), and psychological distress (OR=1.38; 95% CI, 1.25, 1.52) domains had the strongest associations with discharge to an institution.
Patient-reported function, symptoms, and social support routinely collected in outpatient clinics are associated with future 30-day readmission and discharge to an institutional setting. Whether these data can be leveraged to guide interventions to address patient needs and improve outcomes requires further research.
确定患者在出院后 30 天内的再入院率和/或后续住院后的康复护理需求是否与常规在门诊收集的患者报告信息有关。
回顾性队列研究。将在门诊环境中收集的患者报告信息的六个领域(心理困扰、呼吸症状、肌肉骨骼疼痛、家庭支持、活动能力和日常生活活动)与电子健康记录中的住院数据相联系。使用具有随机截距的混合效应逻辑回归模型来确定 6 个领域与结局之间的关联。
中西部医疗系统的门诊诊所和医院。
2004 年 5 月至 2014 年 5 月间共 11445 次住院的 7671 名患者(N=7671)。
无。
30 天内的医院再入院和出院回家与住康复机构。
各领域与 30 天再入院和住康复机构显著相关。具体而言,活动能力(比值比[OR]=1.30;95%置信区间[CI],1.16,1.46)、日常生活活动(OR=1.27;95% CI,1.13,1.42)、呼吸症状(OR=1.26;95% CI,1.12,1.41)和心理困扰(OR=1.20;95% CI,1.07,1.35)与 30 天内的再入院关联最强。ADL(OR=2.52;95% CI,2.26,2.81)、活动能力(OR=2.35;95% CI,2.10,2.63)、家庭支持(OR=2.28;95% CI,1.98,2.62)和心理困扰(OR=1.38;95% CI,1.25,1.52)与出院到机构的关联最强。
在门诊诊所常规收集的患者报告功能、症状和社会支持与未来 30 天的再入院率和出院到机构的情况有关。这些数据是否可以用于指导干预措施以满足患者需求并改善结局,还需要进一步研究。