Research and Development Unit, Geneva Institution for Homecare and Assistance (IMAD), Grand-Lancy, Switzerland.
Geneva School of Health Sciences, HES-SO, University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland.
J Am Med Dir Assoc. 2024 Sep;25(9):105046. doi: 10.1016/j.jamda.2024.105046. Epub 2024 May 31.
Recently, a Complexity Index (CI), based on the multidimensional complexity model and derived from the Resident Assessment Instrument for Home Care (interRAI HC) was proposed as a decision-support tool to help frontline health care professionals in their clinical evaluation to identify and analyze complex situations. This study aims to test the CI: (1) concurrent validity with another measure of complexity (ie, the COMID), (2) convergent validity with related constructs assessed by interRAI HC scales (eg, depression), (3) divergent validity (comparison between CI-COMID and scales-COMID correlations), and (4) predictive validity on coordination meetings.
A cross-sectional observational design was used for a secondary analysis of interRAI HC and COMID data collected in routine home care nursing practice (July-December 2021).
Participants were community-dwelling adults receiving home care, with full interRAI HC and COMID assessments (N = 3533).
Correlational analyses were conducted to test the concurrent validity of the CI (with the COMID) and the convergent and divergent validity of the CI (with interRAI HC scales, eg, Depression Rating Scale, Method for Assigning Priority Levels, and a Frailty Index). A receiver operating characteristic (ROC) analysis was conducted to test the discriminative ability of CI on specific professional team coordination meetings.
Results showed that the CI correlated positively and strongly with the COMID (ρ = 0.691, P < .001, concurrent validity), positively with all the tested scales (P < .001, convergent validity), whereas the CI-COMID correlation was higher than the interRAI HC scales-COMID correlations (divergent validity). The ROC analysis showed the CI had a high area under the curve (AUC = 0.719, predictive validity).
The CI demonstrates good validity properties with a strong correlation with the COMID and a high predictive value for coordination meeting. It is distinct from the other interRAI HC scales and has its place among them to support the clinical analysis of complex situations.
最近,提出了一种基于多维复杂性模型并源自居民家庭护理评估工具(interRAI HC)的复杂性指数(CI),作为一种决策支持工具,帮助一线医疗保健专业人员进行临床评估,以识别和分析复杂情况。本研究旨在测试 CI:(1)与另一种复杂性衡量标准(即 COMID)的同时效度;(2)与 interRAI HC 量表评估的相关结构的收敛效度(例如,抑郁);(3)区分效度(CI-COMID 和量表-COMID 相关性之间的比较);(4)在协调会议上的预测效度。
使用横断面观察设计对 2021 年 7 月至 12 月在常规家庭护理实践中收集的 interRAI HC 和 COMID 数据进行二次分析。
参与者为居住在社区中的接受家庭护理的成年人,接受了完整的 interRAI HC 和 COMID 评估(N=3533)。
进行相关分析以测试 CI(与 COMID)的同时效度,以及 CI(与 interRAI HC 量表,例如抑郁评分量表、优先级分配方法和脆弱性指数)的收敛和区分效度。进行接收者操作特征(ROC)分析以测试 CI 在特定专业团队协调会议上的区分能力。
结果表明,CI 与 COMID 呈正相关且高度相关(ρ=0.691,P<.001,同时效度),与所有测试量表呈正相关(P<.001,收敛效度),而 CI-COMID 相关性高于 interRAI HC 量表-COMID 相关性(区分效度)。ROC 分析表明,CI 的曲线下面积(AUC)较高(AUC=0.719,预测效度)。
CI 与 COMID 具有很强的相关性,对协调会议具有较高的预测价值,具有良好的有效性。它与其他 interRAI HC 量表不同,在支持复杂情况的临床分析方面具有一席之地。