Using Online Analytical Processing to Analyze the Inpatient Fall Related Factors in Hospitals

• Main Authors: Hui -Mei Yang, 楊惠美
• Other Authors: Cheng-Fa Tsai
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/64535952266179978518

碩士 === 國立屏東科技大學 === 高階經營管理碩士在職專班(EMBA) === 100 === Fall prevention is a major portion of patient safety promotion that occupies a very important significance in the hospital management. In this study, the incompliance notification data in a regional teaching hospital in Pingtung from Year 2007 to 2011 is analyzed by the use of cluster analysis and online analytical processing to gain the related factors of hospitalized patients’ fall. The results will be provided to hospital management as the reference to develop fall prevention measures and relevant policies. The results showed that: men accounted for a rate of 65% of inpatient falls and falls among the elderly over the age of 60 happened to have the highest incidence. The result of gender and age cross-analysis showed that people who aged from 70-79 still have the highest proportion of falling among all ages. An in-depth investigation to the reasons of fall caused by patients avoid to cooperate had been launched and it was found that the ratio of male patients’ fall was 2 times larger than females. Falls occurred at 3-5a.m happened to be the most frequent falling time as17% followed by 6-8 a.m as 14%. However, if the inference was done by the three shifts of nursing staff, the night shift (0:00 -8a.m) happened to be the most frequent falling period; The analysis result of hospitalization days: patients hospitalizing for less than 5 days accounted for 62% of total falls. Getting on and off bed was first of the main factors causing the fall that accounted for 39% followed by 31% of walking and going in and out of the bathroom that accounts for 13% ranked the third. There was no significant difference in the property factor analysis between companion and fall. Based on clinical experience statements of the nursing staff, the unwillingness of patients to wake the companion and getting out of beds alone at night caused the relatively higher possibility of fall. This phenomenon may clarify the theory of higher possibility of falling during night shifts and the absence of significant difference brought by companion existence. And head and neck injuries had the most frequency as 41% of the total, followed by hip injuries that accounted for 20% of the total number. Fall prevention is an important issue of patient safety. By the analysis results of this study, healthcare guidelines are effectively provided to clinical medical staff. They can be applied as the relevant policy reference to hospital management while developing fall prevention measures as well. Key word：Patient safety、Inpatient、Online analytical processing、Data mining