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Effects of Nurse Staffing Level on In-hospital Mortality and 30-day Mortality after Admission using Korean National Health Insurance Data

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KMID : 1004620220280010001
±èÀ±¹Ì ( Kim Yun-Mi ) - Eulji University College of Nursing

ÀÌ°æ¾Æ ( Lee Kyoung-A ) - Gachon University College of Nursing
±èÇö¿µ ( Kim Hyun-Young ) - Jeonju University Department of Nursing

Abstract

¸ñÀû: º» ¿¬±¸ÀÇ ¸ñÀûÀº ±¹¹Î°Ç°­º¸Çè û±¸ÀڷḦ ÀÌ¿ëÇÏ¿© °£È£»ç È®º¸¼öÁØ°ú ȯÀÚ»ç¸Á °£ÀÇ °ü·Ã¼ºÀ» Á¶»çÇÏ´Â °ÍÀÌ´Ù.

¹æ¹ý: 2015³âºÎÅÍ 2016³â±îÁö 913°³ º´¿ø¿¡ ÀÔ¿øÇÑ È¯ÀÚ 1,068,059¸íÀÇ µ¥ÀÌÅ͸¦ ºÐ¼®ÇÏ¿´´Ù. °£È£»ç È®º¸¼öÁØÀº ÀϹݺ´µ¿, ÁßȯÀÚ½Ç, º´¿ø ÀüüÀÇ °£È£»ç 1ÀÎ´ç º´»ó¼ö¸¦ ±âÁØÀ¸·Î ºÐ·ùÇÏ¿´´Ù. º´¿ø»ç¸Á°ú ÀÔ¿ø 30ÀÏ À̳» »ç¸ÁÀ» ºÐ¼®Çϱâ À§ÇØ ¥ö2-test¿Í GEE ´Ù¼öÁØ ´Ùº¯·® ·ÎÁö½ºÆ½ ȸ±Í ºÐ¼®ÀÌ »ç¿ëµÇ¾ú´Ù.

°á°ú: º´¿ø»ç¸Á·üÀº 2.9%, ÀÔ¿ø 30ÀÏ À̳» »ç¸Á·üÀº 3.0%¿´´Ù. º´¿ø»ç¸Á¿¡ ´ëÇÑ ¿ÀÁîºñ(ORs)´Â ÀϹݺ´µ¿¿¡¼­´Â °£È£»ç 1ÀÎ´ç º´»ó¼ö°¡ 6.0 ÀÌ»óÀÎ ÀÇ·á±â°ü¿¡ ÀÔ¿øÇÑ È¯ÀÚ¿Í ºñ±³ÇÏ¿© °£È£»ç 1ÀÎ´ç º´»ó¼ö°¡ 3.5º´»ó ¹Ì¸¸ÀÎ ÀÇ·á±â°ü¿¡¼­ Åë°èÀûÀ¸·Î ´õ ³·¾Ò°í(OR=0.72, 95% CI=0.63¡­0.84), ÁßȯÀڽǿ¡¼­´Â 1.25º´»ó ÀÌ»ó°ú ºñ±³ÇÏ¿© 0.88º´»ó ¹Ì¸¸ÀÏ ¶§ ´õ À¯ÀǹÌÇÏ°Ô ³·¾Ò´Ù(OR=0.78, 95% CI=0.66¡­0.92). ÀÔ¿ø 30ÀÏ À̳» »ç¸Á·ü¿¡ ´ëÇÑ ORsÀº ÀϹݺ´µ¿Àº 6.0º´»ó ÀÌ»ó°ú ºñ±³ÇÏ¿© °£È£»ç 1ÀÎ´ç º´»ó¼ö°¡ 3.5º´»ó ¹Ì¸¸ÀÏ ¶§(OR=0.83, 95% CI=0.73¡­0.94), ÁßȯÀÚ½ÇÀº 1.25º´»ó ÀÌ»ó°ú ºñ±³ÇÏ¿© 0.63º´»ó ¹Ì¸¸ÀÏ ¶§ Åë°èÀûÀ¸·Î ´õ ³·¾Ò´Ù(OR=0.85, 95% CI=0.72¡­1.00).

°á·Ð: ȯÀÚ»ç¸ÁÀ» ³·Ãß±â À§Çؼ­´Â °£È£»ç È®º¸¼öÁØ¿¡ µû¸¥ °£È£¼ö°¡ ü°è¸¦ °³¼±ÇÏ¿© ÃæºÐÇÑ ¼öÀÇ °£È£»ç¸¦ È®º¸ÇÒ ÇÊ¿ä°¡ ÀÖ´Ù.

Purpose: The purpose of this study is to investigate the association between the nurse staffing level and the patient mortality using Korean National Health Insurance data.

Methods: The data of 1,068,059 patients from 913 hospitals between 2015 and 2016 were analyzed. The nurse staffing level was categorized based on thebed-to-nurse ratio in general wards, intensive care units (ICUs), and hospitals overall. The x2 test and generalized estimating equations (GEE) multilevel multivariate logistic regression analyses were used to explore in-hospital mortality and 30-day mortality after admission.

Results: The in-hospital mortality rate was 2.9% and 30-day mortality after admission rate was 3.0%. Odd Ratios (ORs) for in-hospital mortality were statistically lower in general wards with a bed-to-nurse ratio of less than 3.5 compared to that with 6.0 or more (OR=0.72, 95% CI=0.63~0.84) and in ICUs with a bed-to-nurse ratio of less than 0.88 compared to that with 1.25 or more (OR=0.78, 95% CI=0.66~0.92). ORs for 30-day mortality after admission were statistically lower in general wards with a bed-to-nurse ratio of less than 3.5 compared to that with 6.0 or more (OR=0.83, 95% CI=0.73~0.94) and in ICUs with a bed-to-nurse ratio of less than 0.63 compared to that with 1.25 or more (OR=0.85, 95% CI=0.72~1.00).
Conclusion: To reduce the patient mortality, it is necessary to ensure asufficient number of nurses by improving the nursing fee system according to the nurse staffing level.
KeyWords
º´¿ø»ç¸Á·ü, °£È£»ç, Àη¹èÄ¡, ÁßȯÀÚ½Ç
Hospital Mortality, Nurses, Personnel Staffing and Scheduling, Intensive Care Units
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ÇмúÁøÈïÀç´Ü(KCI)