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Lee, Yoo, Shin, Park, Lee, and Choi: The Use of Propensity Score Matching for Evaluation of the Effects of Nursing Interventions
Original Article

Journal of Korean Academy of Nursing 2007; 37(3): 414-421.

Published online: 30 April 2007

DOI: https://doi.org/10.4040/jkan.2007.37.3.414

The Use of Propensity Score Matching for Evaluation of the Effects of Nursing Interventions

Suk Jeong Lee1, Ji Soo Yoo2, Mikyung Shin3, Chang Gi Park4, Hyun Chul Lee5, Eun Jin Choi6

1Full Time Lecturer, Red Cross College of Nursing, Korea.

2Professor, College of Nursing, Yonsei University, Korea.

3Doctor of Public Health, University of Illinois at Chicago, USA.

4Researcher, University of Illinois at Chicago, Korea.

5Professor, College of Medicine, Yonsei University, Korea.

6Researcher, Nursing Policy Research Institute, College of Nursing, Yonsei University, Korea.

LSJ1109@redcross.ac.kr.

Copyright © 2007 Korean Society of Nursing Science

Abstract

Background

Nursing intervention studies often suffer from a selection bias introduced by failure of random assignment. Evaluation with selection bias could under or over-estimate any intervention's effects. PS matching (PSM) can reduce a selection bias through matching similar Propensity Scores (PS). PS is defined as the conditional probability of being treated given the individual's covariates and it can be reused to balance the covariates of two groups.

Purpose

This study was done to assess the significance of PSM as an alternative evaluation method of nursing interventions.

Method

An intervention study for patients with some baseline individual characteristic differences between two groups was used for this demonstration. The result of a t-test with PSM was compared with a t-test without matching.

Results

The level of HbA1c at 12 months after baseline was different between the two groups in terms of matching or not.

Conclusion

This study demonstrated the effects of a quasi-random assignment. Evaluation using PSM can reduce a selection bias impact that affects the result of the nursing intervention. Analyzing nursing research more objectively to reduce selection bias using PSM is needed.

Keywords: Propensity score matching, Nursing intervention, Evaluation

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