Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, L8S 4K1, Canada.
Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, ON, L8S 4K1, Canada.
Eur J Health Econ. 2023 Dec;24(9):1505-1515. doi: 10.1007/s10198-022-01558-3. Epub 2023 Jan 3.
To determine demographic, socioeconomic, and clinical factors associated with being high-cost users (HCUs) in adult patients (≥ 18 years) who received acute care in Canada.
We conducted a retrospective study among adults who had at least one encounter with acute care facilities each year from 2011 to 2014 using national linked data sets. We defined HCUs as patients on the top 10% of the highest acute care cost users in the province, where the care was provided. Risk factors associated with being HCUs were identified using multilevel logistic regression. Provincial variations of identified risk factors were examined using logistic regression. Sensitivity analyses were also performed to investigate the influences of using different metrics and different thresholds to define high system users, missing data, and the inclusion of interaction terms on the study results.
Between 2011 and 2014, a total of 3,891,410 patients with 6,017,430 hospitalizations were included. Patients who were male [odds ratio (OR), 1.60; 95% confidence interval (CI) 1.59-1.61], with low incomes [OR 1.42; 95% CI 1.41-1.43), with higher comorbidity score (OR 1.41; 95% CI 1.40-1.41] and older [OR 1.18; 95% CI 1.17-1.18] were more likely to be acute care HCUs. Significant interactions existed between comorbidity score and age/sex/income status. Across provinces, the associations between socioeconomic factors and being HCUs has the largest variation. When using various high system users (HSUs) definitions, the impacts of living in rural area and being visible minority on the odds of being HSUs differ.
A few demographic, socioeconomic, and clinical factors was associated with high acute care expenditures. The associations between included risk factors and being acute care HCUs vary across provinces and different definitions of high system users (HSUs).
确定与加拿大接受急性护理的成年患者(≥18 岁)中高成本使用者(HCU)相关的人口统计学、社会经济学和临床因素。
我们使用全国性的关联数据集,对 2011 年至 2014 年期间每年至少有一次急性护理设施就诊的成年人进行了回顾性研究。我们将 HCU 定义为所在省急性护理费用最高的前 10%的患者。使用多水平逻辑回归确定与成为 HCU 相关的风险因素。使用逻辑回归检查确定的风险因素的省级差异。还进行了敏感性分析,以调查使用不同的指标和不同的阈值来定义高系统使用者、缺失数据以及纳入交互项对研究结果的影响。
2011 年至 2014 年期间,共纳入 3891410 名患者,共 6017430 次住院治疗。男性患者(比值比 [OR],1.60;95%置信区间 [CI],1.59-1.61)、收入较低(OR,1.42;95%CI,1.41-1.43)、合并症评分较高(OR,1.41;95%CI,1.40-1.41)和年龄较大(OR,1.18;95%CI,1.17-1.18)的患者更有可能成为急性护理 HCU。在合并症评分和年龄/性别/收入状况之间存在显著的交互作用。在不同省份,社会经济因素与成为 HCU 之间的关联差异最大。在使用各种高系统使用者(HSU)定义时,居住在农村地区和作为可见少数族裔对成为 HSU 的可能性的影响不同。
少数人口统计学、社会经济学和临床因素与高急性护理支出相关。所包括的风险因素与成为急性护理 HCU 之间的关联在不同省份和不同的 HSU 定义之间存在差异。