COVID-19 팬데믹 상황에서 종합병원의 환자안전사고 위해 정도에 영향을 미치는 요인

Factors Affecting the Degree of Harm Patient Safety Incidents in General Hospitals during the COVID-19 Pandemic

본 연구의 목적은 COVID-19 팬데믹 상황에서 종합병원의 환자안전사고 관련 특성을 확인하고 위해 정도에 영향을 미치는 요인을 파악하여 환자안전사고 감소 및 의료의 질 향상을 위한 기초자료를 제공하고자 수행되었다. 연구방법은 의료기관평가인증원에서 발표한 환자안전보고 데이터를 활용하여 COVID-19 팬데믹 상황인 2020년부터 2022년까지 환자안전사고 총 19,217건을 분석하였고 SAS/WIN 9.4 version 프로그램을 사용하였다. 일반적 특성에 따른 환자안전사고의 위해 정도의 차이는 χ2를 통한 교차분석, 환자안전사고 위해 정도에 미치는 요인은 다항로지스틱회귀분석을 실시하였다. 종합병원의 환자안전사고와 관련하여 근접오류, 위해사건, 적신호사건으로 구분하였으며 성별, 연령, 병상규모, 사고발생장소, 사고보고자, 사고유형에 따라 유의한 차이가 있었다. 이러한 연구결과를 바탕으로 COVID-19와 같은‘국제적 공중보건 비상사태’에서 국가차원의 환자안전전담인력 재배치 및 매뉴얼 배포, 지역 및 보건의료기관별 다빈도 오류현황분석을 통한 환류시스템 마련이 필요함을 시사한다.

The objective of this research was to identify the characteristics of patient safety incidents in general hospitals and factors affecting the degree of harm during the COVID-19 pandemic, thereby providing basic data to reduce patient safety incidents and improve the quality of medical care. Patient safety reporting data released by the Korea Institute for Healthcare Accreditation was utilized in this study, including a total of 19,217 cases during the COVID-19 pandemic from 2020 to 2022. The difference in the degree of harm from patient safety incidents according to general characteristics was cross-analyzed using χ2. A multinomial logistic regression analysis was conducted to determine the factors affecting the degree of risk from patient safety Incidents. Regarding patient safety incidents in general hospitals, there were significant differences in the occurrence of near errors, hazardous events, and red flag events depending on gender, age, size of hospital bed, location of incidents occurrence, incidents reporter, and incidents type. Based on these findings, it is suggested that in an 'international public health emergency' such as COVID-19, it is necessary to redeploy personnel in charge of patient safety at the national level, distribute manuals, and prepare a feedback system through the analysis of the status of frequent errors by region and healthcare institutions.