International Centre for Allied Health Evidence, University of South Australia, Adelaide, South Australia;
J Multidiscip Healthc. 2011;4:247-59. doi: 10.2147/JMDH.S22569. Epub 2011 Jul 22.
We recently indicated that patient age on its own is not a determinant of quality of allied health care received after an acute stroke. It has not been tested whether other non-age variables influence care decisions made by allied health professionals. This paper explores demographic and stroke-related variables that are putatively associated with the quality of care provided to acute stroke patients by allied health professionals.
Data were retrospectively audited from 300 acute stroke patient records regarding allied health care. Compliance with each of 20 indicators of allied health care quality was established. The influence of various demographic and stroke-related variables on each performance indicator was examined. We undertook a series of analyses using univariate logistic regression models to establish the influence of these variables on care quality.
Patient age had a significant correlation with only one process indicator (early mobilization). Seven variables, including stroke severity and level of dependence, were associated with patient age. The majority of these age proxies had significant associations with process indicator compliance. Correlations between non-age variables, in particular stroke severity and comorbidity, suggest the potential for complex confounding relationships between non-age variables and quality of allied health care.
Compliance with individual indicators of allied health care was significantly associated with variables other than patient age, and included stroke severity, previous independence, comorbidities, day of admission, stroke unit admission, and length of stay. The inter-relationships between these non-age variables suggest that their influence on quality of care is complex.
我们最近指出，患者年龄本身并不是急性中风后接受辅助健康护理质量的决定因素。尚未测试其他非年龄变量是否会影响辅助健康专业人员做出的护理决策。本文探讨了与假定与辅助健康专业人员为急性中风患者提供的护理质量相关的人口统计学和中风相关变量。
从 300 名急性中风患者的辅助健康护理记录中回顾性审核数据。确定了 20 项辅助健康护理质量指标中的每一项的合规性。检查了各种人口统计学和中风相关变量对每个绩效指标的影响。我们使用单变量逻辑回归模型进行了一系列分析，以确定这些变量对护理质量的影响。
患者年龄仅与一个过程指标（早期动员）有显著相关性。七个变量，包括中风严重程度和依赖程度，与患者年龄相关。这些年龄代理中的大多数与过程指标的合规性有显著关联。非年龄变量之间的相关性，特别是中风严重程度和合并症，表明非年龄变量与辅助健康护理质量之间存在潜在的复杂混杂关系。
与患者年龄以外的变量相比，个别辅助健康护理指标的合规性显著相关，包括中风严重程度、以前的独立性、合并症、入院日、中风单元入院和住院时间。这些非年龄变量之间的相互关系表明，它们对护理质量的影响是复杂的。
