2015. 10 209 25 A A 120 33% 101,829 34,473 24% 22% 6% : I. 1992 1 2 100% 3 2011 10.9% 0.1% 7.5% 0.6% 4 4 Li 2013 5 1990 2010
26 210 Vol. 52 No. 4 2 1,332,000 1,638,000 6 7 19 105,774 8 A 33 1 653 4 5 794 1 1 3 9 10 3 2 8,11,12 6-13 II. A. % % B. 500 A 2007 10 A N=353
2015. 10 211 27 C. #08015 A 2009 2 D. 100 2 A 6,7 2 7 2 1 24 16 11 2 2 3 4 1 4 E. Spearman SPSS15.0J III. 353 120 33% 120 7 100 299
28 212 Vol. 52 No. 4 1 N=120 1 % 65 54 20 17 8 7 8 7 8 7 3 3 3 3 5 4 81 68 18 15 10 8 5 4 2 2 4 3 100 30 25 100-299 55 46 300-499 28 23 500 7 6 10 35 30 7 32 28 15 23 20 13 17 15 9 8 100 72 60 100-299 36 30 300-499 12 10 102 85 14 12 64 53 52 43 SD 8.48 5.66 2 17.40 29.93 % 3 14.41 67.29 2,4 % 13.80 21.80 1 2 N=120N=64 3 100 2 4 100 102 64 14.4% 13.8% 1 2 N=101 N=72 PR N=56 101,829 34,474 3 2 26
2015. 10 213 29 2 N=120 1 %2 1 %2 1 3 1. 1 WEB 101 84% 68 57% 1,015,640 1,925,350 3,500 11,600,000 105,000 300,000 975,000 2 72 60% 42 35% 241,579 391,735 0 2,300,000 36,000 100,000 300,000 3PR 56 47% 24 23% 197,333 222,629 0 864,000 30,000 100,000 300,000 4 60 50% 25 21% 474,482 546,365 0 2,035,000 12,500 257,000 828,000 5 23 19% 10 8% 261,000 363,351 0 1,200,000 0 50,000 450,000 6 18 15% 2 2% 3,308,857 8,747,801 0 23,147,000 0 0 15,000 7 12 10% 10 8% 180,571 327,006 0 1,000,000 0 41,500 235,000 2. 85% 77 64% 101,829 204,498 0 1,575,000 9,471 34,474 104,460 3 1 2 N=120 3 N=102 N=77 3N=120 1 %2 2 % 1 1 3 26 22% 18 15% 4,421,389 600,000 7,411,971 20,000 30,000,000 575,000 1,697,000 4,750,000 7 6% 4 3% 7,825,000 600,000 14,785,212 100,000 30,000,000 225,000 600,000 22,650,000 29 24% 18 15% 30 36 14.06 1 48 21 36 38 29 24% 21 18% 51,671 50,000 17,790 14,600 100,000 425,000 50,000 60,000 1 2 N=120 18 4,421,389 1,697,000 7 4 7,825,000 600,000 29 24% 21 51,671 50,000 18 30 36 4 p<0.05 p<0.05 5 p<0.05 p<0.05 p<0.05 6 0.289, p<0.05 0.409, p<0.001 0.264, p<0.01 0.265, p<0.05 0.265, p<0.05 0.390, p<0.01 0.370, p<0.01 0.218, p<0.05
30 214 Vol. 52 No. 4 4 N=120 1 2 P N=13 N=94 N=38 N=67 2 P 1. 24 2 29 0.111 0.249 11 20 0.009 0.922 11 65 27 47 2. 3 9 0.140 0.148 5 6 0.066 0.499 10 85 33 61 3. 0 4 0.073 0.448 2 2 0.057 0.558 13 90 36 65 4. 1 11 0.042 0.668 4 8 0.021 0.827 12 83 34 59 5. 4 24 0.039 0.687 9 19 0.062 0.523 9 70 30 47 6. 1 17 0.091 0.348 4 14 0.132 0.175 12 77 34 53 7. 4 32 0.020 0.834 12 23 0.036 0.707 9 63 27 44 8. 6 21 0.181 0.060 12 13 0.129 0.185 7 74 27 54 9. 8 24 0.233 0.016 12 18 0.029 0.763 6 70 28 48 10. 11 70 0.043 0.654 29 50 0.011 0.907 3 26 11 18 11. 0 11 0.125 0.195 1 10 0.195 0.044 13 84 38 57 12. 0 5 0.090 0.372 0 5 0.177 0.080 13 81 36 57 13. 4 15 0.125 0.197 8 11 0.055 0.577 9 78 30 55 14. 9 37 0.172 0.073 18 28 0.048 0.617 5 58 21 40 15. 4 20 0.074 0.442 8 15 0.005 0.959 9 74 29 53 16. 7 34 0.116 0.231 17 24 0.099 0.312 6 59 20 43 1 2 0.289-0.679 IV. A. DVD 6,11,12 PR 5 3 6 11,000 53,000 101,828 34,474
2015. 10 215 31 5 N=120 1 2 P N=13 N=91 N=44 N=57 2 P 1. 5 24 0.105 0.291 14 15 0.071 0.482 7 65 28 41 2. 8 64 0.059 0.553 32 40 0.039 0.699 2 26 10 15 3. 7 51 0.040 0.688 23 35 0.090 0.377 4 38 19 20 4. 0 20 0.182 0.067 4 16 0.244 0.016 12 69 39 39 5. 3 8 0.167 0.091 6 5 0.079 0.430 9 82 37 51 6. 9 35 0.233 0.019 21 23 0.070 0.488 3 54 22 32 7. 1 6 0.015 0.882 3 4 0.004 0.969 12 85 41 53 8. 1 11 0.040 0.686 5 7 0.009 0.929 11 78 37 49 9. 7 24 0.214 0.034 15 16 0.059 0.568 5 62 27 37 10. 7 35 0.111 0.276 19 23 0.021 0.839 5 49 22 29 11. 3 16 0.051 0.614 5 14 0.176 0.089 9 69 36 39 1 2 6 N=120 1-3 N 1 2 3 4 5 6 1 115 1 2 64 0.289 * 3 4 115 0.123 0.079 4 4 111 0.016 0.189 0.679 *** 5 4 113 0.409 *** 0.265 * 0.386 *** 0.296 ** 6 4 105 0.182 0.390 ** 0.289 ** 0.477 *** 0.677 *** 7 1 0 104 0.02 0.09 0.284 ** 0.261 ** 0.043 0.023 8 1 0 105 0.218 * 0.085 0.179 0.088 0.265 ** 0.126 9 1 0 103 0.084 0.137 0.070 0.054 0.276 ** 0.246 * 101 0 103 0.012 0.112 0.029 0.253 * 0.064 0.114 11 1 0 100 0.165 0.005 0.097 0.251 * 0.005 0.095 12 1 0 101 0.264 ** 0.132 0.110 0.138 0.206 * 0.149 13 1 0 99 0.150 0.072 0.081 0.167 0.109 0.079 14 1 0 95 0.265 * 0.370 ** 0.041 0.095 0.104 0.095 1 2 Spearman * : p<0.05, ** : p<0.01, ***p<0.001 3 N=120 4 1 2 3 4 7
32 216 Vol. 52 No. 4 26 7 7 3 1 50,000 36 180 22% 6% 2013 N=164 4 10 20 30% 300 500 14 60 150 10 10 14 15 B. N=2,827 16 3 7 17 N=21 8
2015. 10 217 33 17 18 1 3 1 20 19 A 33% 100 299 20 7,8 31% 35% 21 A 1 1992 2 http://www.mhlw.go.jp/topics/2011/01/dl/ tp0119-1_35.pdf, Accessed 2015/5/5 3 News release 2012 http://www. nurse.or.jp/up_pdf/20130307163239_f.pdf, Accessed 2015/5/5 4 May JH, Bazzoli GJ, Gerland AM, Hospitals Responses To Nurse Staffing Shortages, Health Affairs, 25, W316 - W323, 2006 5 Li YIN, Jones CB, A literature review of nursing turnover costs, Journal of Nursing Management, 21, 405-418, 2013 6 55, 428-435, 2001 7 3, 71-74, 2004 8 A : 13, 58-65, 2009 9 2 http://www. nurse.or.jp/nursing/practice/shuroanzen/madoguchi/ pdf/2013hatasapo_all.pdf, Accessed 2015/5/5 10 26 http://www.mhlw.go.jp/stf/seisakunitsuite/ bunya/0000049528.html, Accessed 2015/5/5 11 63, 790-792, 2009 12 63, 793-796, 2009 13 http://law.e - gov.go.jp/htmldata/s23/ S23HO205.html, Accessed 2015/5/5 14 http://www.ajha.or.jp/topics/ admininfo/pdf/2014/141021_2.pdf, Accessed 2015/1/5
34 218 Vol. 52 No. 4 15 http://www.mhlw. go.jp/stf/houdou/2r9852000000z68f.html, Accessed 2015/5/5 16 1-106, 2007 17 16, 23-31, 2014 18 2004 1-93, 2005 19 News release 2011 http://www.nurse.or.jp/ up_pdf/20120806122153_f.pdf2012, Accessed 2015/1/5 20 25 2013 http://www.ajha.or.jp/topics/admininfo/ pdf/2014/140904_3.pdf, Accessed 2015/1/5 27.1.22 27.7.27 : 607-8175 34 E - mail : tominaga@tachibana - u.ac.jp
2015. 10 219 35 A study of measures taken toward recruitment and retention of nursing staff, and associated difficulties and turnover ratio A complete hospital survey in a selected prefecture Maki Tominaga and Miya Nishimura The purpose of this study was to examine measures taken toward recruitment and retention of nursing staff, and associated difficulties and turnover ratio employing a complete hospital survey in a selected prefecture. We mailed and distributed anonymous self - administered questionnaires to all hospitals in a selected prefecture. The response rate was 33% N=120 hospitals and the data was used for analysis. Results showed that the mean cost for hiring one nursing staff was 101,829 yen median=34,473 yen. For recruitment of nursing staff, 24% of the hospitals introduced a scholarship system for student nurses, while 22% used temporary staff services, and 6% used a private recruiting agency. Half of the hospitals answered that recruitment and retention of nursing staff are difficult. The findings that current conditions of measures taken toward recruitment and retention of nursing staff, and associated difficulties and turnover ratio suggested that the hospitals would require further efforts for recruitment and retention of nursing staff from the perspective of all nursing staff. Key words : nurses / newly graduated nurses / turnover ratio / recruitment / countermeasures Faculty of Nursing, Kyoto Tachibana University