Madrid Cristian, Gnanapandithan Karthik, Heckman Michael G, Blumenfeld Sophia G, Gothot Rachel, Cowdell Colt, Maniaci Michael J, Brown Sally Anne, Cowart Jennifer B, Paulson Margaret, Bosch Wendelyn
Division of Hospital Internal Medicine, Mayo Clinic Health System, Eau Claire, WI.
Division of Hospital Internal Medicine, Mayo Clinic, Jacksonville, FL.
Mayo Clin Proc Innov Qual Outcomes. 2025 Jun 4;9(4):100633. doi: 10.1016/j.mayocpiqo.2025.100633. eCollection 2025 Aug.
To evaluate predictors of falls in the hospital-at-home (HaH) setting from a single institution in 3 US states.
In this retrospective study of HaH patients residing in Florida, Wisconsin, and Arizona, we identified 51 patients who fell and were matched to 153 patients without fall, between July 2020 and July 2023. Patient demographics and clinical characteristics were collected, including age, sex, race, Charlson Comorbidity Index, geographic location, body mass index, Hester Davis Scale, admission diagnosis, continuous intravenous infusion, polypharmacy, marital status/life partnership, area deprivation index, and use of supplemental oxygen. Association of patient characteristics were examined using unadjusted and multivariable logistic regression models (July 29, 2020 to July 5, 2023).
The rate of falls was 6.8 per 1,000 patient bed-days. In multivariable analysis, we found that older age (odds ratio [OR; per each 10-year increase], 1.37; =.043), higher Charlson Comorbidity Index (OR [per each 5-unit increase], 1.80; =.012), and supplemental oxygen use (OR, 2.05; =.045) were independent predictors of falls in the HaH setting. Although not statistically significant, an increased risk of falls was observed in patients with a diagnosis of respiratory disorder (OR, 2.07; =.075).
In patients hospitalized at home, the risk of falls may increase with older age, higher Charlson Comorbidity Index, and supplemental oxygen use. Mitigation strategies to prevent falls in patients with these risk factors should be considered in the HaH setting.
评估美国3个州一家机构的居家医院(HaH)环境中跌倒的预测因素。
在这项对居住在佛罗里达州、威斯康星州和亚利桑那州的HaH患者的回顾性研究中,我们确定了2020年7月至2023年7月期间51例跌倒患者,并将其与153例未跌倒患者进行匹配。收集了患者的人口统计学和临床特征,包括年龄、性别、种族、查尔森合并症指数、地理位置、体重指数、赫斯特·戴维斯量表、入院诊断、持续静脉输液、多种药物治疗、婚姻状况/生活伴侣关系、地区贫困指数和补充氧气的使用情况。使用未调整和多变量逻辑回归模型(2020年7月29日至2023年7月5日)检查患者特征之间的关联。
跌倒发生率为每1000患者床日6.8次。在多变量分析中,我们发现年龄较大(优势比[OR;每增加10岁],1.37;P =.043)、查尔森合并症指数较高(OR[每增加5个单位],1.80;P =.012)和使用补充氧气(OR,2.05;P =.045)是HaH环境中跌倒的独立预测因素。尽管无统计学意义,但诊断为呼吸系统疾病的患者跌倒风险增加(OR,2.07;P =.075)。
在家中住院的患者中,跌倒风险可能随着年龄增长、查尔森合并症指数升高和补充氧气的使用而增加。在HaH环境中应考虑针对这些危险因素患者预防跌倒的缓解策略。