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The Effects of Long-term Care Hospitals¡¯ Nurse Staffing Level on Patient Outcomes: Differences according to Region

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KMID : 0614820200260040354
È«°æÁø ( Hong Kyung-Jin ) - Semyung University Department of Nursing

Abstract

¸ñÀû: º» ¿¬±¸´Â ¿ä¾çº´¿øÀÇ °£È£»ç ¹èÄ¡¼öÁØ°ú ȯÀÚ°á°úÀÇ Áö¿ªº° Â÷À̸¦ È®ÀÎÇÏ°í °£È£»ç ¹èÄ¡¼öÁØ°ú °£È£Àη Áß °£È£»ç ºñÀ²ÀÌ È¯ÀÚ °á°ú¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» ¼³¸íÇϱâ À§ÇØ ¼öÇàµÇ¾ú´Ù.

¹æ¹ý: °Ç°­º¸Çè½É»çÆò°¡¿ø¿¡¼­ Á¦°øÇÏ´Â ¿ä¾çº´¿øÀÇ ÀϹÝÀû Ư¼º Á¤º¸¿Í ¿ä¾çº´¿ø Æò°¡ °á°ú¸¦ ºÐ¼®ÇÑ 2Â÷ ÀÚ·á ºÐ¼® ¿¬±¸ÀÌ°í, ÃÑ 1,205°³ ¿ä¾çº´¿øÀÌ ºÐ¼®¿¡ Æ÷ÇԵǾú´Ù.

°á°ú: ºÐ¼®´ë»ó ¿ä¾çº´¿øÀÇ °£È£Àη 1Àδç ȯÀÚ¼öÀÇ Æò±ÕÀº 4,27¸íÀ̾ú°í, °£È£Àη Áß °£È£»ç ºñÀ²ÀÇ Æò±ÕÀº 0.43À̾ú´Ù. Áö¿ª¿¡ µû¸¥ ¿ä¾çº´¿øÀÇ Æò°¡ °á°ú¿Í °£È£Àη ¹èÄ¡¼öÁØÀÇ Â÷ÀÌ´Â Åë°èÀûÀ¸·Î À¯ÀÇÇÏ¿´´Ù. ·ÎÁö½ºÆ½ ȸ±ÍºÐ¼® °á°ú °£È£Àη 1Àδç ȯÀÚ¼ö´Â Ä¡¸ÅȯÀÚ ¿Ü¿¡¼­ ÀÏ»ó»ýÈ° ¼öÇà´É·Â°ú ¹æ¹ÛÀ¸·Î ³ª¿À±â¾ÇÈ­ ȯÀÚ°¡ ÀÖÀ» È®·ü¿¡ ¿µÇâÀ» ¹ÌÃÆ°í, °£È£Àη Áß °£È£»ç ºñÀ²Àº Ä¡¸ÅȯÀÚÀÇ È¯ÀÚ °á°ú¿¡ ¿µÇâÀ» ÁÖ¾ú´Ù.

°á·Ð: ¿¬±¸ °á°ú¸¦ ÅëÇØ ¿ä¾çº´¿ø °£È£»ç ¹èÄ¡¼öÁØ°ú °£È£»ç ºñÀ²ÀÇ Çâ»óÀ» À§ÇÑ Á¤Ã¥ ¸¶·ÃÀÇ Çʿ伺°ú ƯÈ÷ Ãë¾à Áö¿ª¿¡¼­ÀÇ °³¼±ÀÌ Áß¿äÇÔÀÌ Á¦½ÃµÇ¾ú´Ù. ¶ÇÇÑ È¯ÀÚ ¾ÈÀüÀ» À§ÇÏ¿© ȯÀÚÀÇ ÁßÁõµµ¿¡ ±â¹ÝÇÑ °£È£»ç ¹èÄ¡¼öÁØÀ» ¹ýÁ¦È­ ÇÏ´Â °ÍÀÌ ¿ä±¸µÈ´Ù.

Purpose: The aim of this study was to examine the differences in nurse staffing levels and patient outcomes in long-term care hospitals by region and to identity the effects of nurse staffing level and registered nurse proportion on patient outcomes.

Methods: A secondary analysis of national data that included general characteristics of hospitals and long-term care hospitals¡¯ evaluation results from the Health Insurance Review and Assessment Services was conducted, and 1,205 hospitals were selected.

Results: Results showed that the mean number of patients per nursing staff and registered nurse proportion were 4.27 and 0.43, respectively. The differences in long-term care hospitals¡¯ evaluation results and nurse staffing levels according to region were significant. A logistic regression analysis showed that the number of patients per nursing staff affected the probability of the patient experiencing a decline in daily life activities, as well as a decline in the outcomes of patients who were non-dementia; registered nurse proportion affected the outcomes of patients with dementia.

Conclusion: The findings suggest that implementing policies to improve long-term care hospitals¡¯ nurse staffing level and registered nurse proportion is important. Ensuring mandatory registered nurse staffing levels based on the severity of patients¡¯ diagnoses is also necessary.
KeyWords
Áö¿ªº° Â÷ÀÌ, ¿ä¾çº´¿ø, °£È£»ç ¹èÄ¡¼öÁØ, ȯÀÚ°á°ú
Geographic distribution, Long term care, Nurse staffing, Patient outcome
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