Griffin Joan M, Holland Diane E, Vanderboom Catherine E, Kaufman Brystana G, Gustavson Allison M, Ransom Jeanine, Mandrekar Jay, Dose Ann Marie, Ingram Cory, Fong Zhi Ven, Wild Ellen, Weiss Marianne E
Kern Center for the Science of Health Care Delivery Research, Mayo Clinic, Rochester, Minnesota, USA.
Division of Health Care Delivery Research, Mayo Clinic, Rochester, Minnesota, USA.
Health Serv Res. 2025 Jan 28;60(4):e14441. doi: 10.1111/1475-6773.14441.
To assess how patient and caregiver factors influence caregiver readiness for hospital discharge in palliative care patients.
This transitional care study uses cross-sectional data from a randomized controlled trial conducted from 2018 to 2023 testing an intervention for caregivers of hospitalized adult patients with a serious or life-limiting illness who received a palliative care consult prior to transitioning out of the hospital.
Caregiver readiness was measured with the Family Readiness for Hospital Discharge Scale (n = 231). Caregiver demographic, intra- and interpersonal factors were self-reported. Patient demographic, comorbidity score, and risk score for complicated discharge planning were extracted from electronic health records. Stepwise regression models estimated variance explained (r) in caregiver readiness for patient hospital discharge.
Patient demographics and complexity were not statistically associated with caregiver readiness for discharge. Caregiver depressive symptoms, poor caregiver-patient relationship quality, and fewer hours spent caregiving prior to hospitalization explained 29% of the variance in caregiver readiness.
Reliance on patient data may not be sufficient for explaining caregiver readiness for discharge. Assessing caregiver factors may be a better alternative for identifying caregivers at risk for low discharge readiness and those in need of additional support.
ClinicalTrials.gov on November 13, 2017, (No. NCT03339271).
评估患者和照护者因素如何影响姑息治疗患者的照护者对出院的准备情况。
这项过渡性护理研究使用了2018年至2023年进行的一项随机对照试验的横断面数据,该试验测试了一种针对住院成年重病或生命受限疾病患者照护者的干预措施,这些患者在出院前接受了姑息治疗咨询。
使用家庭出院准备量表(n = 231)测量照护者的出院准备情况。照护者的人口统计学、人际内和人际因素通过自我报告获得。患者的人口统计学、合并症评分和复杂出院计划的风险评分从电子健康记录中提取。逐步回归模型估计了照护者对患者出院准备情况的方差解释率(r)。
患者的人口统计学和复杂性与照护者的出院准备情况无统计学关联。照护者的抑郁症状、照护者与患者的关系质量差以及住院前的照护时间较少,解释了照护者出院准备情况方差的29%。
仅依靠患者数据可能不足以解释照护者的出院准备情况。评估照护者因素可能是识别出院准备不足风险的照护者以及需要额外支持的照护者的更好选择。
ClinicalTrials.gov于2017年11月13日(编号NCT03339271)。