Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Ontario, Canada.
BMJ Open. 2020 Oct 15;10(10):e038008. doi: 10.1136/bmjopen-2020-038008.
High-cost users (HCUs) account for a small proportion of the population but use a disproportionately large share of healthcare resources. Although HCUs exist in all healthcare types, acute care is the most expensive type of service and the most significant contributor to expenditures among HCUs. This study aims to determine demographic, socioeconomic and clinical factors associated with being HCUs in adult patients (≥18 years) receiving acute care in Canada.
This is a population-based analysis using a national linked dataset. Adult patients who had at least one interaction with acute care facilities each year from 2011 to 2014 were captured in the dataset, and those living in institutions or other collective residences were not covered. The primary outcome is HCU of acute care (yes/no), which is defined as whether a patient is within the top 10% of the highest acute care cost users in his/her province. Multilevel logistic regression will be used to identify factors associated with HCU and to examine the provincial variations of these identified risk factors. Sensitivity analyses investigating the influences of different high user definitions and missing data on the study results will also be performed.
All researchers will follow the codes and rules set by Statistics Canada and the Research Data Centre and give priority to the confidentiality of the data during and after this study. The study findings will be published in peer-review journals and disseminated at academic conferences.
高消费患者(HCUs)在人口中占比较小,但却使用了不成比例的大量医疗资源。尽管 HCUs 存在于所有类型的医疗保健中,但急性护理是最昂贵的服务类型,也是 HCUs 支出的最大贡献者。本研究旨在确定与加拿大接受急性护理的成年患者(≥18 岁)成为 HCUs 相关的人口统计学、社会经济学和临床因素。
这是一项基于人群的分析,使用全国性的关联数据集。该数据集捕获了 2011 年至 2014 年期间每年至少与急性护理设施进行过一次互动的成年患者,但不包括居住在机构或其他集体住所的患者。主要结局是急性护理的 HCUs(是/否),定义为患者是否在其所在省份的最高急性护理费用使用者中处于前 10%。将使用多水平逻辑回归来确定与 HCUs 相关的因素,并检查这些已确定的风险因素在各省之间的差异。还将进行敏感性分析,以研究不同的高用户定义和缺失数据对研究结果的影响。
所有研究人员将遵循加拿大统计局和研究数据中心制定的规范和规则,并在研究期间和之后优先考虑数据的保密性。研究结果将发表在同行评审期刊上,并在学术会议上传播。