A Comparison of the Charlson and Elixhauser Methods for Predicting Nursing Indicators in Gastrectomy with Gastric Cancer Patients

Author:

Kim Chul-Gyu1ORCID,Bae Kyun-Seop2ORCID

Affiliation:

1. Department of Nursing, Chungbuk National University, Cheongju 28644, Republic of Korea

2. Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea

Abstract

Background: Comorbidity indices such as Charlson’s (CCI) and Elixhauser’s (ECI) are used to adjust the patient’s care, depending on the severity of their condition. However, no study has compared these indices’ ability to predict nursing-sensitive outcomes (NSOs). We compared the performance of CCI and ECI in predicting NSOs in gastric cancer patients’ gastrectomy. Methods: Gastric cancer patients with gastrectomy, aged 19 years or older and admitted between 2015 and 2016, were selected from the Korea Insurance Review and Assessment Service database. We examined the relationships between NSOs and CCI or ECI while adjusting patient and hospital characteristics with logistic regression. Results: The ECI item model was the best in view of the C-statistic and Akaike Information Criterion for total NSO, physiologic/metabolic derangement, and deep vein thrombosis, while the Charlson item model was the best for upper gastrointestinal tract bleeding. For the C-statistic, the ECI item model was the best for in-hospital mortality, CNS complications, shock/cardiac arrest, urinary tract infection, pulmonary failure, and wound infection, while the CCI item model was the best for hospital-acquired pneumonia and pressure ulcers. Conclusions: In predicting 8 of 11 NSOs, the ECI item model outperformed the others. For other NSOs, the best model varies between the ECI item and CCI item model.

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Reference40 articles.

1. Korea Central Cancer Registry, National Cancer Center (2023, February 28). Annual Report of Cancer Statistics in Korea in 2020. Ministry of Health and Welfare. Available online: https://ncc.re.kr/cancerStatsList.ncc?searchKey=total&searchValue=&pageNum=1.

2. Noh, S.H., and Yonsei Stomach Cancer Center (2016). The Cure Manual of Stomach Cancer, Health Chosun.

3. Guideline Committee of the Korean Gastric Cancer Association (KGCA), Development Working Group & Review Pane (2019). Korean Practice Guideline for Gastric Cancer 2018: An Evidence-based, Multi-disciplinary Approach. J. Gastric. Cancer, 19, 1–48.

4. National Health Insurance Service (2023, February 28). Main Surgery Statistical Yearbook for 2019. National Health Insurance Service. Available online: https://www.nhis.or.kr/nhis/together/wbhaec06800m01.do?mode=download&articleNo=10803657&attachNo=312917.

5. How Should We Risk-Adjust Hospital Outcome Comparisons? Comment on “Predicting In-Hospital Mortality in Patients Undergoing Complex Gastrointestinal Surgery”;Dimick;Arch. Surg.,2012

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