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医疗复杂性应用定义之间的人口统计学和临床差异。

Demographic and Clinical Differences Between Applied Definitions of Medical Complexity.

机构信息

Division of Pediatric Critical Care, University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota.

Divisions of Pediatric Critical Care; and.

出版信息

Hosp Pediatr. 2022 Jul 1;12(7):654-663. doi: 10.1542/hpeds.2021-006432.

Abstract

OBJECTIVES

To identify the degree of concordance and characterize demographic and clinical differences between commonly used definitions of multisystem medical complexity in children hospitalized in children's hospitals.

METHODS

We conducted a retrospective, cross-sectional cohort study of children <21 years of age hospitalized at 47 US Pediatric Health Information System-participating children's hospitals between January 2017 to December 2019. We classified patients as having multisystem complexity when using 3 definitions of medical complexity (pediatric complex chronic conditions, pediatric medical complexity algorithm, and pediatric chronic critical illness) and assessed their overlap. We compared demographic, clinical, outcome, cost characteristics, and longitudinal healthcare utilization for each grouping.

RESULTS

Nearly one-fourth (23.5%) of children hospitalized at Pediatric Health Information System-participating institutions were identified as meeting at least 1 definition of multisystem complexity. Children with multisystem complexity ranged from 1.0% to 22.1% of hospitalized children, depending on the definition, with 31.2% to 95.9% requiring an ICU stay during their index admission. Differences were seen in demographic, clinical, and resource utilization patterns across the definitions. Definitions of multisystem complexity demonstrated poor agreement (Fleiss' κ 0.21), with 3.5% of identified children meeting all 3.

CONCLUSIONS

Three definitions of multisystem complexity identified varied populations of children with complex medical needs, with poor overall agreement. Careful consideration is required when applying definitions of medical complexity in health services research, and their lack of concordance should result in caution in the interpretation of research using differing definitions of medical complexity.

摘要

目的

确定在儿童医院住院的儿童中,常用多系统医学复杂性定义之间的一致性程度,并描述人口统计学和临床差异。

方法

我们对 2017 年 1 月至 2019 年 12 月期间在 47 家参与美国儿科健康信息系统的儿童医院住院的<21 岁的儿童进行了回顾性、横断面队列研究。我们使用 3 种医疗复杂性定义(儿科复杂慢性疾病、儿科医疗复杂性算法和儿科慢性危重症)对患者进行分类,并评估了它们的重叠情况。我们比较了每个分组的人口统计学、临床、结局、成本特征和纵向医疗保健利用情况。

结果

近四分之一(23.5%)在参与儿科健康信息系统的机构住院的儿童被确定为至少符合 1 种多系统复杂性定义。根据定义,患有多系统复杂性的儿童占住院儿童的 1.0%至 22.1%,其中 31.2%至 95.9%的儿童在其指数入院期间需要入住 ICU。在不同的定义中,人口统计学、临床和资源利用模式存在差异。多系统复杂性的定义显示出较差的一致性(Fleiss' κ 0.21),其中 3.5%的确定儿童符合所有 3 种定义。

结论

三种多系统复杂性定义确定了具有复杂医疗需求的不同人群,总体一致性较差。在卫生服务研究中应用医疗复杂性定义时需要谨慎考虑,并且缺乏一致性应导致在使用不同医疗复杂性定义的研究的解释中保持谨慎。

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