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荷兰老年人初级保健综合护理测量工具彩虹模型的结构效度验证

Construct Validation of the Rainbow Model of Integrated Care Measurement Tool in Dutch Primary Care for Older Adults.

作者信息

L Oostra Dorien, S Nieuwboer Minke, H M Janssen Jeroen, G M Olde Rikkert Marcel, P Valentijn Pim, Perry Marieke

机构信息

Radboud university medical center, Radboud Institute for Health Sciences, Department of Geriatric Medicine, Nijmegen, The Netherlands.

出版信息

Int J Integr Care. 2023 Feb 15;23(1):9. doi: 10.5334/ijic.6739. eCollection 2023 Jan-Mar.

Abstract

INTRODUCTION

Care integration in primary elderly care is suboptimal. Validated instruments are needed to enable the implementation of integrated primary care. We aimed to assess construct validity of the Rainbow Model of Integrated Care measurement tool (RMIC-MT) for healthcare professionals working in an integrated primary elderly care setting in the Netherlands.

METHODS

In a cross-sectional study, the RMIC-MT, a 36-item questionnaire covering all domains of the Rainbow Model of Integrated Care (RMIC), was sent out to local networks of primary elderly care professionals. Confirmatory factor analysis with maximum likelihood estimation was used for the validation of the factor structure of the RMIC-MT. Model fit was assessed by the chi-square test and fit indices.

RESULTS

The RMIC-MT was completed by 323 professionals, primarily general practitioners, community nurses, practice nurses, and case managers. Confirmatory factor analysis and corresponding fit indices showed moderate to good fit, thereby confirming a nine factor model with a total of 36 items.

CONCLUSIONS

The RMIC-MT is promising for the primary elderly care setting in the Netherlands. It can be used for evaluating integrated care initiatives in a primary care setting, thereby contributing to implementation of integrated primary elderly care.

摘要

引言

老年初级护理中的照护整合情况欠佳。需要经过验证的工具来推动整合式初级护理的实施。我们旨在评估彩虹整合照护测量工具(RMIC-MT)在荷兰老年初级整合护理环境中工作的医疗专业人员中的结构效度。

方法

在一项横断面研究中,将涵盖彩虹整合照护模式(RMIC)所有领域的36项问卷RMIC-MT发送给当地老年初级护理专业人员网络。采用最大似然估计的验证性因子分析来验证RMIC-MT的因子结构。通过卡方检验和拟合指数评估模型拟合情况。

结果

323名专业人员完成了RMIC-MT,主要是全科医生、社区护士、执业护士和个案管理员。验证性因子分析及相应的拟合指数显示拟合程度为中等至良好,从而确认了一个包含36个项目的九因子模型。

结论

RMIC-MT在荷兰老年初级护理环境中很有前景。它可用于评估初级护理环境中的整合照护举措,从而有助于推动老年初级整合护理的实施。

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