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Influence of Nursing Practice Readiness and Resilience on the Nursing Performance among New Nurses

°£È£ÇàÁ¤ÇÐȸÁö 2022³â 28±Ç 4È£ p.352 ~ 360
KMID : 0614820220280040352
±èÇý¿Á ( Kim Hae-Ok ) - Kyungnam University Department of Nursing

³²¹®Èñ ( Nam Mun-Hee ) - Daedong College Department of Nursing
±è¿ä³ª ( Kim Yo-Na ) - Choonhae College of Health Sciences Department of Nursing

Abstract

¿¬±¸¸ñÀû: º» ¿¬±¸´Â ½Å±Ô°£È£»ç¸¦ ´ë»óÀ¸·Î °£È£½Ç¹«Áغñµµ, ȸº¹Åº·Â¼ºÀÌ °£È£¾÷¹«¼º°ú¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» ÆľÇÇÏ°íÀÚ ÇÏ¿´´Ù.

¿¬±¸¹æ¹ý: ¿¬±¸´ë»óÀÚ´Â BÁö¿ª, CÁö¿ª ´ëÇÐ º´¿ø ¹× Á¾ÇÕº´¿ø¿¡ ±Ù¹«ÇÏ°í ÀÖ´Â ½Å±Ô°£È£»ç Áß ±Ù¹«ÇÑ Áö 6°³¿ùÀÌ Áö³ª°í 24°³¿ù ÀÌÇÏÀÎ ÀÚ 234¸íÀ̾ú´Ù. ÀÚ·á´Â 2021³â 9¿ù 13ÀϺÎÅÍ 9¿ù 18ÀϱîÁö ±¸Á¶È­µÈ ÀÚ°¡ º¸°í½Ä ¼³¹®Áö¸¦ »ç¿ëÇÏ¿© ¼öÁýÇÏ¿´´Ù. ¼öÁýµÈ ÀÚ·á´Â SPSS/Win 24.0À» ÀÌ¿ëÇÏ¿© ºÐ¼®ÇÏ¿´À¸¸ç, ºóµµ¿Í ¹éºÐÀ², Æò±Õ°ú Ç¥ÁØÆíÂ÷, ¸ÇÀ§Æ®´Ï À¯ °ËÁ¤(Mann-Whitney U test)°ú Å©·ç½ºÄ®-¿ù¸®½º °ËÁ¤(Kruskal-Wallis test), ºÐ»êºÐ¼®(ANOVA), ÇǾ»ó°ü°ü°è(Pearson¡¯s correlation coefficients), ´ÙÁßȸ±ÍºÐ¼®(Multiple regression analysis)À» ½Ç½ÃÇÏ¿´°í º¯¼ö ¼±Åà ¹æ¹ýÀº ´Ü°èÀû(Stepwise)À¸·Î ¼³Á¤ÇÏ¿´´Ù.

¿¬±¸°á°ú: ´ë»óÀÚÀÇ ÀϹÝÀû Ư¼º¿¡ µû¸¥ °£È£¾÷¹«¼º°ú´Â ÁÖ´ç Á÷¹«±³À°(Z=10.01, p=.007), ±Þ¿©¸¸Á·µµ(Z=13.04, p=.001) ¿¡ µû¶ó °£È£¾÷¹«¼º°ú¿¡ À¯ÀÇÇÑ Â÷À̸¦ º¸¿´´Ù. °£È£¾÷¹«¼º°ú´Â °£È£½Ç¹«Áغñµµ(r=.70, p<.001), ȸº¹Åº·Â¼º(r=.51, p<.001)°ú Åë°èÀûÀ¸·Î À¯ÀÇÇÑ »ó°ü°ü°è°¡ ÀÖ¾ú´Ù. µ¶¸³º¯¼öÀÇ ÅõÀÔ¹æ½ÄÀ» ´Ü°èÀû ¼±ÅùýÀ¸·Î ¼³Á¤ÇÏ¿© ´ÙÁßȸ±ÍºÐ¼®À» ½Ç½ÃÇÑ °á°ú °£È£¾÷¹«¼º°ú¿¡ ¿µÇâÀ» ¹ÌÄ¡´Â ¿äÀÎÀº °£È£½Ç¹«Áغñµµ(¥â=.61, p<.001), ȸº¹Åº·Â¼º(¥â=.16, p=.003), Á÷¹«±³À° ½Ã°£(¥â=.11, p=.02)¼øÀ¸·Î ³ªÅ¸³µÀ¸¸ç, ÀÌµé º¯¼öÀÇ °£È£¾÷¹«¼º°ú¿¡ ´ëÇÑ ¼³¸í·ÂÀº 52.0%À̾ú´Ù.

°á·Ð: ½Å±Ô°£È£»çÀÇ °£È£¾÷¹«¼º°ú Çâ»óÀ» À§Çؼ­´Â °£È£½Ç¹«Áغñµµ¸¦ ³ôÀÌ°í, ȸº¹Åº·Â¼ºÀ» °­È­ÇÏ´Â °ÍÀÌ ¿ä±¸µÈ´Ù. ¶ÇÇÑ °£È£¾÷¹«¼º°ú Çâ»óÀ» À§ÇÑ ±â°ü Â÷¿øÀÇ ÇÁ·Î±×·¥ Áö¿øÀÌ ÇÊ¿äÇÏ´Ù.

Purpose: This study investigated the influence of nursing practice readiness and, resilience on the nursing performance of new nurses.

Methods: Participants were 234 new nurses with 6-24 months of working experience at the wards in university and general hospitals in the B area and C areas. The collected data were analyzed using SPSS/Win 24.0, and frequency percentage, mean, and standard deviation were calculated, Mann-Whitney U test, Kruskal-Wallis test, analysis of variance, Pearson's correlation coefficients, and multiple regression analyses were performed, and the variable selection method was set as stepwise.

Results: Nursing performance significantly differed by weekly job-related education (Z=10.01, p=.007) and salary satisfaction (Z=13.04, p=.001). The nursing performance of new nurses was positively correlated with nursing practice (r=.70, p<.001) and resilience (r=.51, p<.001). The significant predictors of nursing performance were nursing practice readiness (¥â=.61, p<.001), resilience (¥â=.16, p=.003), and job training hours (¥â=.11, p=.02). The explanatory power of these factors was 52.0% of the variance.

Conclusion: To enhance the nursing performance of new nurses, it is necessary to improve nursing practice readiness, provide job training, and strengthen resilience. In addition, it is necessary to support programs at the institutional level for nursing performance.
KeyWords
½Å±Ô°£È£»ç, °£È£½Ç¹«Áغñµµ, ȸº¹Åº·Â¼º, °£È£¾÷¹«¼º°ú
New nurses, Nursing practice readiness, Resilience, Nursing performance
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