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The Use of Propensity Score Matching for Evaluation of the Effects of Nursing Interventions
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Suk Jeong Lee, Ji Soo Yoo, Mikyung Shin, Chang Gi Park, Hyun Chul Lee, Eun Jin Choi
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Journal of Korean Academy of Nursing 2007;37(3):414-421. Published online April 30, 2007
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DOI: https://doi.org/10.4040/jkan.2007.37.3.414
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 Abstract
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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.
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Citations
Citations to this article as recorded by  - The effects of international research collaboration on the policy impact of research: A causal inference drawing on the journal Lancet
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Korean Journal of Women Health Nursing.2011; 17(4): 369. CrossRef
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