Evidence map›Paper›PMID 38907291›Full record

ArticleBMC health services research2024

Accuracy assessment of patient safety incident (PSI) codes and present-on-admission (POA) indicators: a cross-sectional analysis using the Patient Safety Incidents Inquiry (PSII) in Korea.

Jeehee Pyo, Eun Young Choi, Seung Gyeong Jang, Won Lee, Minsu Ock

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Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Jeehee Pyo *Department of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, 25 Daehagbyeongwon-Ro, Dong-Gu, Ulsan, 44033, Republic of Korea.
Eun Young Choi *Department of Nursing, Chung-Ang University, 84 Heukseok-Ro, Dongjak-Gu, Seoul, 06974, Republic of Korea. 11351@naver.com.
Seung Gyeong JangDepartment of Nursing, Inje University, Busan, Republic of Korea.
Won LeeDepartment of Nursing, Chung-Ang University, 84 Heukseok-Ro, Dongjak-Gu, Seoul, 06974, Republic of Korea.
Minsu OckDepartment of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, 25 Daehagbyeongwon-Ro, Dong-Gu, Ulsan, 44033, Republic of Korea. ohohoms@naver.com.

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6 · The paper itself

Abstract

backgroundAmong the various methods used, administrative data collected for claims and billing purposes, such as diagnosis codes and present-on-admission (POA) indicators, can easily be employed to assess patient safety status. However, it is crucial that administrative data be accurate to generate valid estimates of adverse event (AE) occurrence. Thus, we aimed to evaluate the accuracy of diagnosis codes and POA indicators in patients with confirmed AEs in the hospital admission setting.

methodsWe analysed the diagnosis codes of 1,032 confirmed AE cases and 6,754 non-AE cases from the 2019 Patient Safety Incidents Inquiry, which was designed as a cross-sectional study, to determine their alignment with the Korean Patient Safety Incidents (PSIs) Code Classification System. The unit of analysis was the individual case rather than the patient, because two or more AEs may occur in one patient. We examined whether the primary and secondary diagnostic codes had PSIs codes matching the AE type and checked each PSI code for whether the POA indicator had an 'N' tag. We reviewed the presence of PSI codes in patients without identified AEs and calculated the correlation between the AE incidence rate and PSI code and POA indicator accuracy across 15 hospitals.

resultsNinety (8.7%) of the AE cases had PSI codes with an 'N' tag on the POA indicator compared to 294 (4.4%) of the non-AE cases. Infection- (20.4%) and surgery/procedure-related AEs (13.6%) had relatively higher instances of correctly tagged PSI codes. We did not identify any PSI codes for diagnosis-related incidents. While we noted significant differences in AE incidence rates, PSI code accuracy, and POA indicator accuracy among the hospitals, the correlations between these variables were not statistically significant.

conclusionCurrently, PSI codes and POA indicators in South Korea appear to have low validity. To use administrative data in medical quality improvement activities such as monitoring patient safety levels, improving the accuracy of administrative data should be a priority. Possible strategies include targeted education on PSI codes and POA indicators and introduction of new evaluation indicators regarding the accuracy of administrative data.

Indexed as

Medical ErrorsPatient SafetyCross-Sectional StudiesFemaleHumansMaleQuality Indicators, Health CareRepublic of KoreaInternational Classification of Diseases (ICD)Medical record reviewPatient safetyPresent-on-admission

Identifiers

PMID38907291
PMCPMC11191285

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