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Factors Influencing Ageism in General Hospital Nurses

°£È£ÇàÁ¤ÇÐȸÁö 2019³â 25±Ç 5È£ p.393 ~ 403
KMID : 0614820190250050393
±èÁ־Ơ( Kim Ju-Ah ) - Çѱ¹¼º¼­´ëÇб³ °£È£Çаú

ÇÏÁö¿¬ ( Ha Ji-Yeon ) - °Ç¾ç´ëÇб³ °£È£´ëÇÐ

Abstract

¸ñÀû: º» ¿¬±¸´Â Á¾ÇÕº´¿ø¿¡ ±Ù¹«ÇÏ´Â °£È£»çÀÇ ³ëÀο¬·ÉÁÖÀÇ Á¤µµ¿Í °ü·Ã¿äÀÎÀ» ÆľÇÇϴµ¥ ¸ñÀûÀÌ ÀÖ´Ù.

¹æ¹ý: º» ¿¬±¸ÀÇ ´ë»óÀÚ´Â Á¾ÇÕº´¿ø¿¡¼­ ±Ù¹«ÇÏ´Â 178¸íÀÇ °£È£»çÀ̸ç, ÀÚ·á¼öÁýÀº D½Ã¿¡ À§Ä¡ÇÑ ÀÏ°³ Á¾ÇÕº´¿ø¿¡¼­ 2019³â 3¿ù¿¡ ÇÑ ´Þ°£ ±¸Á¶È­µÈ ¼³¹®Áö¿¡ ´ë»óÀÚ°¡ Á÷Á¢ ±âÀÔÇÏ´Â ¹æ¹ýÀ¸·Î ½Ç½ÃµÇ¾ú´Ù. ÀÚ·á´Â ¼­¼úÀû Åë°è¸¦ ºñ·ÔÇÏ¿© Independent t-test, Mann-Whitney U test, one-way ANOVA, Kruskal-Wallis test, stepwise multiple linear regressionÀ¸·Î ºÐ¼®ÇÏ¿´´Ù.

°á°ú: °£È£»çÀÇ ³ëÀο¬·ÉÁÖÀÇ´Â 72Á¡ ¸¸Á¡¿¡ 39.75¡¾5.44Á¡À̾ú°í, ³ëÀΰúÀÇ Á¢ÃË °æÇè(r=-.47, p<.001), ŵµ(r=.40, p<.001), ³ëÈ­ ºÒ¾È(r=.35, p<.001)°ú »ó°ü°ü°è°¡ ÀÖ´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù. ȸ±ÍºÐ¼®À» ½Ç½ÃÇÑ °á°ú ³ëÀΰúÀÇ Á¢ÃË°æÇèÀÌ ³·°Å³ª ºÎÁ¤ÀûÀϼö·Ï(¥â=-.45, p<.001), ³ëÀο¡ ´ëÇÑ Åµµ°¡ ºÎÁ¤ÀûÀϼö·Ï(¥â=.20, p=.002), ±Ù¹«ºÎ¼­°¡ º´µ¿ÀÏ °æ¿ì(¥â=.22, p<.001), ±âÈ¥ÀÚÀϼö·Ï(¥â=.21, p<.001), ³ëÀΰ£È£¸¦ ¼±È£ÇÏÁö ¾ÊÀ»¼ö·Ï(¥â=.18, p=.006), ³ëÀΰ£È£ ±³À° ¼öÇý°æÇèÀÌ ¾øÀ»¼ö·Ï(¥â=.17, p=.006), ³ëÈ­ºÒ¾ÈÀÌ ³ôÀ»¼ö·Ï(¥â=.14, p=.041) ³ëÀο¬·ÉÁÖÀÇ Á¡¼ö ³ô¾ÒÀ¸¸ç, ÀÌµé º¯ÀεéÀÇ ³ëÀο¬·ÉÁÖÀÇ¿¡ ´ëÇÑ Àüü ¼³¸í·ÂÀº 39.0%(adjusted R2=.39)À̾ú´Ù.

°á·Ð: º´¿ø¿¡ ±Ù¹«ÇÏ´Â °£È£»ç´Â ³ëÀο¡ ´ëÇÑ Áö½Äº¸´Ù ³ëÀΰú Á¢ÃËÇß´ø °æÇèÀ̳ª ŵµ°¡ ³ëÀο¬·ÉÁÖÀÇÀÇ Áß¿äÇÑ º¯¼öÀÓÀ» È®ÀÎÇÏ¿´´Ù. ³ëÀΰúÀÇ Á¢ÃË °æÇèÀ» ±àÁ¤ÀûÀ¸·Î º¯È­½ÃÅ°±â À§ÇÏ¿© °£È£»ç°¡ ÃæºÐÇÏ°Ô ³ëÀÎ °£È£¸¦ Á¦°øÇÒ ¼ö ÀÖ´Â ½Ã°£ º¸Àå µîÀÇ È¯°æÀû ¿©°ÇÀ» ¸¶·ÃÇØ¾ß Çϸç, ³ëÀÎȯÀÚ¿¡ ´ëÇÑ ¿Ã¹Ù¸¥ ÀÌÇظ¦ µµ¸ðÇÏ°í À߸øµÈ Æí°ßÀ» °³¼±ÇÒ ¼ö ÀÖ´Â º´¿ø À¯Çüº° ¸ÂÃã½Ä º¸¼ö±³À° ÇÁ·Î±×·¥ ¿î¿µÀÌ ÇÊ¿äÇÏ´Ù. ¶ÇÇÑ °£È£Çаú ±³À°°úÁ¤°ú °£È£»ç º¸¼ö±³À°¿¡¼­ °£È£»ç ³ëÀο¬·ÉÁÖÀÇ¿¡ ´ëÇÑ ÀνÄÀÇ Á߿伺ÀÌ ºÎ°¢µÉ ÇÊ¿ä°¡ ÀÖ´Ù

Purpose: This study was done to identify the factors involved in ageism in nurses.

Methods: The participants in this study were 178 general hospital nurses. Data were collected in March 2019 using self-report questionnaires, and were analyzed using descriptive statistics, independent t-test, Mann-Whitney U test, one-way ANOVA, Kruskal-Wallis test, and stepwise multiple linear regression.

Results: The total score for ageism was 39.75¡¾5.44 out of a maximum of 72. Ageism had a statistically significant relationship with contact experience (r=-.47, p<.001), attitude (r=.40 p<.001), and aging anxiety (r=.35 p<.001). The determining factors affecting ageism were contact experience (¥â=-.45, p<.001), attitude (¥â=.20, p=.002), work place (¥â=.22, p<.001), marital status (¥â=.21, p<.001), geriatric nursing preference (¥â=.18, p=.006), geriatric education (¥â=.17, p=.006), and aging anxiety (¥â=.14, p=.041). The explanation power of these variables was 39%.

Conclusion: The results suggest that contact experience with elders had the largest influence on ageism in nurses. Therefore, it is necessary to develop tailored education programs by hospital type to increase positive contact experience and promote understanding of older patients in acute care settings. Furthermore, the importance of the perception of ageism needs to be highlighted in nursing education and continuing education for nurses.
KeyWords
¿¬·ÉÁÖÀÇ, °£È£»ç, ³ëÀÎ, ³ëÀΰ£È£, ŵµ
Aged, Ageism, Attitude, Geriatric nursing, Nurses
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