Clèries Montse, Monterde David, Vela Emili, Guarga Àlex, García Eroles Luis, Pérez Sust Pol
Unidad de Información y Conocimiento, Servicio Catalán de la Salud, Departamento de Salud de la Generalidad de Cataluña, Barcelona, España.
Oficina de Estadística, Sistemas de Información, Instituto Catalán de la Salud, Departamento de Salud de la Generalidad de Cataluña, Barcelona, España.
Aten Primaria. 2020 Feb;52(2):96-103. doi: 10.1016/j.aprim.2018.09.016. Epub 2019 Feb 12.
Adjusted Morbidity Groups (GMAs) and the Clinical Risk Groups (CRGs) are population morbidity based stratification tools which classify patients into mutually exclusive categories.
To compare the stratification provided by the GMAs, CRGs and that carried out by the evaluators according to the levels of complexity.
Random sample stratified by morbidity risk.
Catalonia.
Forty paired general practitioners in the primary care, matched pairs.
Each pair of evaluators had to review 25 clinical records.
The concordance by evaluators, and between the evaluators and the results obtained by the 2 morbidity tools were evaluated according to the kappa index, sensitivity, specificity, and positive and negative predicted values.
The concordance between general practitioners pairs was around the kappa value 0.75 (mean value=0.67), between the GMA and the evaluators was similar (mean value=0.63), and higher than for the CRG (mean value=0.35). The general practitioners gave a score of 7.5 over 10 to both tools, although for the most complex strata, according to the professionals' assignment, the GMA obtained better scores than the CRGs. The professionals preferred the GMAs over the CRGs. These differences increased with the complexity level of the patients according to clinical criteria. Overall, less than 2% of serious classification errors were found by both groupers.
The evaluators considered that both grouping systems classified the studied population satisfactorily, although the GMAs showed a better performance for more complex strata. In addition, the clinical raters preferred the GMAs in most cases.
调整后发病组(GMAs)和临床风险组(CRGs)是基于人群发病率的分层工具,可将患者分类到相互排斥的类别中。
比较GMAs、CRGs提供的分层与评估者根据复杂程度进行的分层。
按发病风险分层的随机样本。
加泰罗尼亚。
40对初级保健中的全科医生,配对。
每对评估者必须审查25份临床记录。
根据kappa指数、敏感性、特异性以及阳性和阴性预测值,评估评估者之间以及评估者与两种发病工具所得结果之间的一致性。
全科医生对之间的一致性约为kappa值0.75(平均值 = 0.67),GMA与评估者之间的一致性相似(平均值 = 0.63),且高于CRG(平均值 = 0.35)。全科医生对这两种工具的评分均为7.5分(满分10分),不过根据专业人员的划分,对于最复杂的分层,GMA的得分高于CRGs。专业人员更喜欢GMA而非CRG。根据临床标准,这些差异随着患者复杂程度的增加而增大。总体而言,两种分组方法发现的严重分类错误均不到2%。
评估者认为这两种分组系统对研究人群的分类都令人满意,尽管GMA在更复杂的分层中表现更好。此外,在大多数情况下,临床评估者更喜欢GMA。