Yin Christina Y, Scott Mary M, Talarico Robert, Hakimjavadi Ramtin, Kierulf Jackie, Webber Colleen, Hawken Steven, Moledina Aliza, Manuel Doug, Hsu Amy, Tanuseputro Peter, Fung Celeste, Kaasalainen Sharon, Molnar Frank, Shamon Sandy, McIsaac Daniel I, Kobewka Daniel
Bruyere Research Institute, Ottawa, Ontario, Canada.
Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
BMJ Open. 2025 Jan 20;15(1):e086932. doi: 10.1136/bmjopen-2024-086932.
Long-term care (LTC) residents are frequently transferred to acute care hospitals. Transfer decisions should align with residents' wishes and goals. Decision to transfer to hospital, when not aligned with the resident's wishes, can result in transfers that are harmful to residents, leaving residents in a state of disability that could be considered worse than death. We aim to examine whether transfer to an acute care hospital is associated with subsequent new onset of severe permanent physical and cognitive disability in LTC residents.
We will conduct a retrospective cohort study of all LTC residents ≥65 admitted to LTC homes between 1 April 2013 and 31 March 2018 in Ontario, Canada. We will use health administrative data from the Continuing Care Reporting System (CCRS), National Ambulatory Care Reporting System (NACRS) and Registered Persons Databases (RPDB), which include data on emergency department visits, hospitalisations, demographic information and mortality. All participants will be followed until 31 March 2023. The exposure is any transfer from LTC to an emergency department or acute care hospital. The outcomes are (1) subsequent new permanent physical disability, (2) subsequent new permanent cognitive disability and (3) all-cause mortality. Due to the time-varying nature of the exposure and confounders, we will use an extended cause-specific Cox regression model to explore this relationship. We will fit marginal structural models (MSMs) to account for the known shortcomings of traditional regression modelling, such as collider bias. Lastly, we will use a preference-based instrumental variable approach to address unmeasured confounders.
Ethics approval was obtained through Bruyère Research Institute Ethics Committee (REB#M16-23-030). Study findings will be submitted for publication in a peer-reviewed journal. Findings will be disseminated in conferences and seminars.
Open Science Framework (https://doi.org/10.17605/OSF.IO/JCDEY).
长期护理(LTC)机构的居民经常被转至急症医院。转院决策应与居民的意愿和目标相一致。当转院决策与居民意愿不符时,可能会导致对居民有害的转院情况,使居民处于一种可能被认为比死亡更糟糕的残疾状态。我们旨在研究转至急症医院是否与LTC机构居民随后出现严重永久性身体和认知残疾的新发情况相关。
我们将对2013年4月1日至2018年3月31日期间在加拿大安大略省入住LTC机构的所有65岁及以上的LTC居民进行一项回顾性队列研究。我们将使用来自持续护理报告系统(CCRS)、国家门诊护理报告系统(NACRS)和注册人员数据库(RPDB)的卫生行政数据,这些数据包括急诊科就诊、住院、人口统计学信息和死亡率数据。所有参与者将被随访至2023年3月31日。暴露因素为从LTC机构转至急诊科或急症医院的任何情况。结局指标为:(1)随后新发的永久性身体残疾;(2)随后新发的永久性认知残疾;(3)全因死亡率。由于暴露因素和混杂因素具有随时间变化的性质,我们将使用扩展的特定病因Cox回归模型来探究这种关系。我们将拟合边际结构模型(MSM)以解决传统回归建模的已知缺点,如对撞机偏差。最后,我们将使用基于偏好的工具变量方法来处理未测量的混杂因素。
已获得布鲁耶尔研究所伦理委员会(伦理审查委员会编号:M16 - 23 - 030)的伦理批准。研究结果将提交至同行评审期刊发表。研究结果将在会议和研讨会上进行传播。